Diverse Views Research Articles

Sustainability in healthcare: patient and public perspectives.

The sustainable healthcare agenda has become increasingly prominent in recent years. But what does this mean for patients? In this article, we draw on our personal views and experiences as patients, carers and patient advocates, and consider the effects that efforts to improve the sustainability of healthcare may have on care quality and patient experience. We also review the small amount of existing research and policy in this area, with particular focus on documents from the National Institute for Health and Care Excellence and the Health Foundation. Based on synthesising these resources with our own experiences, we make recommendations on how to: share information with patients about how they can contribute to healthcare sustainability; offer more sustainable alternatives without pressure; account for diverse patient views on the relevance of sustainable healthcare; provide information about the impact of healthcare on the environment; involve patients and the public in leading positive change; and avoid broadening health inequalities. There is a clear need for more research and engagement to help advance our understanding and weigh up the benefits to individual patients vs. the environmental impacts on the wider population.

Trans Reproductive Imaginaries: Access and Barriers to Fertility Preservation and Family Creation

Transgender and non-binary (trans) people face unique challenges when considering decision-making about their reproductive futures. These may include navigating gendered parenthood roles and the potential impacts of medical gender affirmation on their fertility. While fertility preservation offers a way of having biologically related children, barriers to accessing these services among trans people have been identified in literature. This qualitative study sought to understand how trans young adults view and experience fertility preservation, in relation to their desire for family and parenthood. Through a thematic analysis of in-depth interviews with 13 trans and non-binary people in Aotearoa New Zealand, we identified four themes: variability in seeking accurate fertility preservation information; the compounding costs of trans reproduction; experiencing and anticipating cisnormativity in reproductive health services; and (re)imagining family. Overall, participants expressed diverse views on fertility preservation, informed by interpersonal and structural factors. Notably, we found discrepancies between uptake of sperm and egg cryopreservation due to public funding disparities, despite participants agreeing services should be offered equitably to all trans people. These structural barriers require further attention in healthcare, policy and community settings when working with trans young adults considering fertility preservation.

Evaluating Health Care Professionals' Readiness for e-Health Adoption in the Context of the COVID-19 Pandemic: A Georgian Perspective.

Background: The COVID-19 pandemic has accelerated the adoption of Electronic health (e-Health), leveraging technologies such as telemedicine, electronic health records, artificial intelligence, and patient engagement platforms. This transformation underscores e-Health's role in providing efficient, patient-centered care. Our study explores health care professionals' readiness for these technologies, emphasizing the need for tailored education in this evolving landscape. Methods: In our study, conducted between February and March 2023, we administered a questionnaire-based survey to 500 staff members (82.4% female, 17.6% male) aged 25-70 from medical universities in Tbilisi, Georgia. The structured questionnaire covered topics such as computer literacy, telemedicine awareness, patient data security, and ethical considerations. We employed SPSS v21.0 for data analysis, encompassing descriptive statistics and thematic analysis of open-ended responses. Results: Our study included 500 participants categorized into five age groups. Notably, 31% considered themselves computer "experts," while 69% rated their skills as "intermediate" or "advanced." Furthermore, 85% used computers professionally, with 33% having practical computer training. Interestingly, 59% expressed interest in information technology training. Regarding e-Health, 15% believed it involves remote communication between health care professionals and patients, while 42% considered it "correct," and 37% "might be correct." Concerning its application in managing patients, opinions varied. In terms of e-Health's integration into Georgia's health care, responses ranged. Regarding patient data safety, participants exhibited diverse views. Finally, opinions on the necessity of informed consent for e-Health applications varied among participants. Conclusions: Our study explores health care professionals' readiness for e-Health adoption during the COVID-19 pandemic. It reveals varying computer literacy levels, a willingness to learn, differing views on e-Health applications, and mixed opinions on its integration into Georgian health care. These findings emphasize the need for clear e-Health terminology, education, tailored approaches, and a focus on data privacy and informed consent. Overall, e-Health's transformative role in modern health care is underscored.

Academic accounting and interdisciplinary research – Australian evidence

PurposeGiven the importance of interdisciplinary research in addressing wicked problems, this paper aims to explore the development of and prospects for interdisciplinary research through evidence gained from academic accountants in Australia.Design/methodology/approachExtant literature is complemented with interviews of accounting academics in Australia to reveal the challenges and opportunities facing interdisciplinary researchers and reimagine prospects for the future.FindingsEvidence indicates that accounting academics hold diverse views toward interdisciplinarity. There is also confusion between multidisciplinarity and interdisciplinarity in the journals in which academic accountants publish. Further, there is mixed messaging among Deans, disciplinary leaders and emerging scholars about the importance of interdisciplinary research to, on the one hand, publish track records and, on the other, secure grants from government and industry. Finally, there are differing perceptions about the disciplines to be encouraged or accepted in the cross-fertilisation of ideas.Originality/valueThis paper is novel in gathering first-hand data about the opportunities, challenges and tensions accounting academics face in collaborating with others in interdisciplinary research. It confirms a discouraging pressure for emerging scholars between the academic research outputs required to publish in journals, prepare reports for industry and secure research funding, with little guidance for how these tensions might be managed.

Quantifying the Impact of Street Greening during Full-Leaf Seasons on Emotional Perception: Guidelines for Resident Well-Being

Quantifying the emotional impact of street greening during the full-leaf seasons in spring, summer, and fall is important for well-being-focused urban construction. Current emotional perception models usually focus on the influence of objects identified through semantic segmentation of street view images and lack explanation. Therefore, interpretability models that quantify street greening’s emotional effects are needed. This study aims to measure and explain the influence of street greening on emotions to help urban planners make decisions. This would improve the living environment, foster positive emotions, and help residents recover from negative emotions. In Hangzhou, China, we used the Baidu Map API to obtain street view images when plants were in the full-leaf state. Semantic segmentation was used to separate plant parts from street view images, enabling the calculation of the Green View Index, Plant Level Diversity, Plant Color Richness, and Tree–Sky View Factor. We created a dataset specifically designed for the purpose of emotional perception, including four distinct categories: pleasure, relaxation, boredom, and anxiety. This dataset was generated through a combination of machine learning algorithms and human evaluation. Scores range from 1 to 5, with higher values indicating stronger emotions and lower values indicating less intense ones. The random forest model and Shapley Additive Explanation (SHAP) algorithm were employed to identify the key indicators that affect emotions. Emotions were most affected by the Plant Level Diversity and Green View Index. These indicators and emotions have an intricate non-linear relationship. Specifically, a higher Green View Index (often indicating the presence of 20–35 fully grown trees within a 200 m range in street view images) and a greater Plant Level Diversity significantly promoted positive emotional responses. Our study provided local planning departments with support for well-being-focused urban planning and renewal decisions. Based on our research, we recommend the following actions: (1) increase the amount of visible green in areas with a low Green View Index; (2) plant seasonal and flowering plants like camellia, ginkgo, and goldenrain trees to enhance the diversity and colors; (3) trim plants in areas with low safety perception to improve visibility; (4) introduce evergreen plants like cinnamomum camphor, osmanthus, and pine.

The microfoundations of international commitment decisions: Creating joint opportunity meanings

AbstractResearch SummaryDespite a vast body of theory on internationalization processes, little is known about the microfoundations of how firms deal with internal groups' diverse views when trying to make international commitment decisions. Drawing on the concept of opportunity formation and a detailed case study, we develop a model that shows how, under the condition of diverse internal meanings, firms can make an international commitment decision by creating “joint opportunity meanings.” We show how imagination plays an essential role in achieving this decision. Our study contributes to global strategy in multiple ways, including detailing some microfoundations of internationalization process theory, assessing group‐level dynamics in global strategy decision‐making, and advancing insights into the relationship between opportunity formation and imagination.Managerial SummaryThis paper explains how global organizations can reach a decision to commit to an opportunity in a foreign market in a situation characterized by disagreement among internal groups. We found how it was critical to move from diverse views on an opportunity to joint opportunity meanings, whereby the groups mutually accomplish a description of the opportunity with an agreed and common terminology that is ambiguous enough to accommodate remaining diversity in views. In this process, managers' forward‐looking imaginations, in combination with socialization and symbolic actions, were crucial. Our paper highlights how local ideas in complex multinationals can be spread with the intent to reach key decision‐makers and how firms can reach sufficiently overlapping meanings that enable them to strategically move forward while allowing for the plurality of views that multinationals often exhibit.

Representations of cultural diversity in music education textbooks: a critical and comparative analysis

ABSTRACT Spain is one of the European countries that attracts the most immigration, and the Valencian and Murcian regions have a large immigrant population. To our knowledge, no studies have analysed the representation of cultural diversity in visual representations of the body and musical practices in their music textbooks. Therefore, the main objective of this research is to describe the representation of cultural diversity in Spanish music textbooks from a critical and comparative perspective that analyses visual representations of the body and its interactions with the main musical processes. The results show a greater presence of students with white European features, as well as certain cultural stereotypes perpetuated by visual representation with musical instruments. Thus, although a greater variety of human types can be observed in the graphic representations of music textbooks, these take a reductionist and simplistic view of cultural diversity.

From social issue to art site and beyond – reassessing rural akiya kominka

ABSTRACT Akiya or vacant houses are often perceived as threats to their neighborhood, as socio-political problems for local communities, and as objects of difficult decisions for their owners. However, recently there has been a reappraisal of their forgotten qualities and a revival in interest in such houses, especially when considered as sites of a special character suited to different types of cultural events. This article explores the implications of the use of akiya in rural communities in Japan, tracing the trajectory of change from irritating nuisance to local (touristic) attraction and art site. Furthermore, it analyzes how this shift has the potential to lead to their reassessment as valuable resources not only for the revitalization of local communities but also for private choices in everyday life. The article analyzes three specific art installations created within the framework of recurring art festivals and staged within the walls of old vacant dwellings, and the artists’ thoughts behind them, which hint at incentives for akiya use inspired by the sites. The artworks offer opportunities for interactions between residents, artists, and visitors, influencing insider and outsider perceptions of the local community, and they function as innovative playgrounds for local citizens’ and newcomers’ individual choices. Examples from the field show that the artist’s role as yosomono (outsider) ultimately has the potential to pave the way towards a more diverse and creative view of these community assets, changing the perception of the vacant house from being a bothersome and useless legacy into a resource.

Exploring the Representation of Women in Technical Roles at a South African Performing Arts Entity

Low levels of female representation are found when it comes to technical roles within the South African performing arts industry despite improved numbers in the overall representation of females within the industry across different occupational categories. Employment in the core functions of the performing arts entities is therefore still predominantly male. The research aimed to explore the representation of women in a performing arts entity. The feminist, social dominance and patriarchy theories were used to conceptualize the research phenomena and interrogate the findings in this study. The research adopted a qualitative case study approach, using one-on-one in-depth interviews. The sample of participants included management and employees in the technical business unit, selected through convenience sampling and a complementary snowball sampling technique. Thematic analysis was used to analyse the data, which engendered themes and sub-themes, substantiated by verbatim quotes from the interviews. Although the research findings indicated an unequal representation of females in technical roles and their absence in management positions within the entity, female presence was found to enhance teamwork and diverse views, which consequently improved team performance. The study found that barriers to female representation include unequal gender representation, the nature of work, and the work-life balance. The study established policy recommendations for the industry, including flexible-hour strategies and childcare facilities, among others.

Parameter-Free Multiview K -Means Clustering With Coordinate Descent Method.

Recently, more and more real-world datasets have been composed of heterogeneous but related features from diverse views. Multiview clustering provides a promising attempt at a solution for partitioning such data according to heterogeneous information. However, most existing methods suffer from hyper-parameter tuning trouble and high computational cost. Besides, there is still an opportunity for improvement in clustering performance. To this end, a novel multiview framework, called parameter-free multiview k -means clustering with coordinate descent method (PFMVKM), is presented to address the above problems. Specifically, PFMVKM is completely parameter-free and learns the weights via a self-weighted scheme, which can avoid the intractable process of hyper-parameters tuning. Moreover, our model is capable of directly calculating the cluster indicator matrix, with no need to learn the cluster centroid matrix and the indicator matrix simultaneously as previous multiview methods have to do. What's more, we propose an efficient optimization algorithm utilizing the idea of coordinate descent, which can not only reduce the computational complexity but also improve the clustering performance. Extensive experiments on various types of real datasets illustrate that the proposed method outperforms existing state-of-the-art competitors and conforms well with the actual situation.

Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition.

Since hand-print recognition, i.e., palmprint, finger-knuckle-print (FKP), and hand-vein, have significant superiority in user convenience and hygiene, it has attracted greater enthusiasm from researchers. Seeking to handle the long-standing interference factors, i.e., noise, rotation, shadow, in hand-print images, multi-view hand-print representation has been proposed to enhance the feature expression by exploiting multiple characteristics from diverse views. However, the existing methods usually ignore the high-order correlations between different views or fuse very limited types of features. To tackle these issues, in this paper, we present a novel tensorized multi-view low-rank approximation based robust hand-print recognition method (TMLA_RHR), which can dexterously manipulate the multi-view hand-print features to produce a high-compact feature representation. To achieve this goal, we formulate TMLA_RHR by two key components, i.e., aligned structure regression loss and tensorized low-rank approximation, in a joint learning model. Specifically, we treat the low-rank representation matrices of different views as a tensor, which is regularized with a low-rank constraint. It models the across information between different views and reduces the redundancy of the learned sub-space representations. Experimental results on eight real-world hand-print databases prove the superiority of the proposed method in comparison with other state-of-the-art related works.

Ancestors in the Extreme: A Genomics View of Microbial Diversity in Hypersaline Aquatic Environments.

The origin of eukaryotic cells, and especially naturally occurring syncytial cells, remains debatable. While a majority of our biomedical research focuses on the eukaryotic result of evolution, our data remain limiting on the prokaryotic precursors of these cells. This is particularly evident when considering extremophile biology, especially in how the genomes of organisms in extreme environments must have evolved and adapted to unique habitats. Might these rapidly diversifying organisms have created new genetic tools eventually used to enhance the evolution of the eukaryotic single nuclear or syncytial cells? Many organisms are capable of surviving, or even thriving, in conditions of extreme temperature, acidity, organic composition, and then rapidly adapt to yet new conditions. This study identified organisms found in extremes of salinity. A lake and a nearby pond in the Ethiopian Rift Valley were interrogated for life by sequencing the DNA of populations of organism collected from the water in these sites. Remarkably, a vast diversity of microbes were identified, and even though the two sites were nearby each other, the populations of organisms were distinctly different. Since these microbes are capable of living in what for humans would be inhospitable conditions, the DNA sequences identified should inform the next step in these investigations; what new gene families, or modifications to common genes, do these organisms employ to survive in these extreme conditions. The relationship between organisms and their environment can be revealed by decoding genomes of organisms living in extreme environments. These genomes disclose new biological mechanisms that enable life outside moderate environmental conditions, new gene functions for application in biotechnology, and may even result in identification of new species. In this study, we have collected samples from two hypersaline sites in the Danakil depression, the shorelines of Lake As'ale and an actively mixing salt pond called Muda'ara (MUP), to identify the microbial community by metagenomics. Shotgun sequencing was applied to high density sampling, and the relative abundance of Operational Taxonomic Units (OTUs) was calculated. Despite the broad taxonomic similarities among the salt-saturated metagenomes analyzed, MUP stood out from Lake As'ale samples. In each sample site, Archaea accounted for 95% of the total OTUs, largely to the class Halobacteria. The remaining 5% of organisms were eubacteria, with an unclassified strain of Salinibacter ruber as the dominant OTU in both the Lake and the Pond. More than 40 different genes coding for stress proteins were identified in the three sample sites of Lake As'ale, and more than 50% of the predicted stress-related genes were associated with oxidative stress response proteins. Chaperone proteins (DnaK, DnaJ, GrpE, and ClpB) were predicted, with percentage of query coverage and similarities ranging between 9.5% and 99.2%. Long reads for ClpB homologous protein from Lake As'ale metagenome datasets were modeled, and compact 3D structures were generated. Considering the extreme environmental conditions of the Danakil depression, this metagenomics dataset can add and complement other studies on unique gene functions on stress response mechanisms of thriving bio-communities that could have contributed to cellular changes leading to single and/or multinucleated eukaryotic cells.

Can meta-omics revolutionize our understanding of rumen methane emissions?

Abstract The global challenge of methane emissions from enteric fermentation is critical, as it contributes significantly to atmospheric greenhouse gases and represents a loss of energy that could otherwise be utilized by ruminants. With the increasing demand for dairy and meat products, finding effective methods to reduce methane production is essential. This review explores the use of advanced meta-omics techniques – including metagenomics, metatranscriptomics, metaproteomics, and metabolomics – to deepen our understanding of ruminal methane production and identify potential strategies for its mitigation. These high-throughput technologies provide comprehensive insights into the rumen microbial communities and their metabolic functions by analyzing DNA, RNA, proteins, and metabolites directly from environmental samples. Metagenomics and metatranscriptomics offer a detailed view of microbial diversity and gene expression, while metaproteomics can identify specific enzymes and proteins directly involved in methane production pathways, revealing potential targets for mitigation strategies. Integrating these meta-omics approaches allows for a holistic understanding of the microbial processes that drive methane emissions, enabling the development of more precise interventions, such as tailored dietary modifications and the use of specific inhibitors. This review underscores the importance of a multi-omics strategy in characterizing microbial roles and interactions within the rumen, which is crucial for devising effective and sustainable methods to reduce methane emissions without compromising livestock productivity.

Синкретизм Ричарда Рорти: есть ли вообще «чистые» прагматисты

The article presents a response to Igor Dzhokhadze’s critical review of Oksana Tselishcheva’s book Richard Rorty: A Marginal Analytical Philosopher.” The main reproach of Dzhokhadze lies in the incorrect, from his point of view, depiction of the figure of Rorty, who, according to Dzhokhadze, is “a monoideist philosopher who, for 35 years of his life, adhered to one essentially unchanged position [of a pragmatist].” The author rejects this “monoideism” attributed to Rorty, showing that, firstly, Dzhokhadze ignores Rorty’s assessment of his own philosophy, and secondly, wrongfully restricts his philosophical evolution — from a linguistic turn to analytical philosophy and its criticism and the subsequent turn to an increasingly rich palette of philosophical prose with its inherent relativism syncretism, ecumenism and pluralism. The author questions Dzhokhadze’s confidence that Rorty’s “pragmatism” excludes the above-mentioned evolution of the philosopher’s views, showing that pragmatism itself acts as an umbrella term for a rather diverse philosophical techniques and views. The article refutes the popular view supported by Dzhokhadze that criticism of analytical philosophy resulted in Rorty’s final rejection of its methods and values, and shows that the evolution of his philosophy led to the recognition of its parity with the “instructive, revolutionary, hermeneutic” philosophy recognized by him. This is evidenced by the title of Tselishcheva’s book, quoting Rorty’s own confession. Unlike Dzhokhadze, the author considers Rorty’s re-description of himself to be the most important topic, which is reflected in the evolution of his views on the essence of philosophy, from “philosophy as the conversation of mankind” to “philosophy as cultural policy.” Critical assessments of other researchers, in order to limit the consideration of Rorty’s work to the “more or less accurate and well-founded” opinion of one researcher (in this case, Dzhokhadze), are not motivated by scientific considerations, which are indicated in this article.

Exploring the Influence of Student Interaction with ChatGPT on Critical Thinking, Problem Solving, and Creativity

In this comprehensive study, 515 participants within educational settings were engaged to investigate the multifaceted impact of ChatGPT interactions. By scrutinizing critical thinking, problem-solving, creativity, and learning domains, the research uncovered nuanced perspectives. The results presented diverse views on how ChatGPT influenced cognitive abilities—some observed substantial improvements, while others perceived limited effects. Notably, intriguing correlations surfaced between enhanced critical thinking and subsequent impacts on problem-solving, creativity, and overall learning approaches. The outlined recommendations underscored the importance of responsible usage, preferring guidance over direct solutions and advocating for instructor involvement. These insights collectively underline ChatGPT’s promising potential as an adjunctive educational tool, suggesting its capacity to cultivate dynamic and intellectually engaging learning environments. Despite varied perceptions and user readiness, these findings highlight ChatGPT’s intriguing role in shaping educational experiences.

Word learning is hands-on: Insights from studying natural behavior.

Infants' interactions with social partners are richly multimodal. Dyads respond to and coordinate their visual attention, gestures, vocalizations, speech, manual actions, and manipulations of objects. Although infants are typically described as active learners, previous experimental research has often focused on how infants learn from stimuli that is well-crafted by researchers. Recent research studying naturalistic, free-flowing interactions has explored the meaningful patterns in dyadic behavior that relate to language learning. Infants' manual engagement and exploration of objects supports their visual attention, creates salient and diverse views of objects, and elicits labeling utterances from parents. In this chapter, we discuss how the cascade of behaviors created by infant multimodal attention plays a fundamental role in shaping their learning environment, supporting real-time word learning and predicting later vocabulary size. We draw from recent at-home and cross-cultural research to test the validity of our mechanistic pathway and discuss why hands matter so much for learning. Our goal is to convey the critical need for developmental scientists to study natural behavior and move beyond our "tried-and-true" paradigms, like screen-based tasks. By studying natural behavior, the role of infants' hands in early language learning was revealed-though it was a behavior that was often uncoded, undiscussed, or not even allowed in decades of previous research. When we study infants in their natural environment, they can show us how they learn about and explore their world. Word learning is hands-on.

Perceptions of healthcare workers on linkage between depression and hypertension in northern Ghana: a qualitative study.

Hypertension and depression are increasingly common noncommunicable diseases in Ghana and worldwide, yet both are poorly controlled. We sought to understand how healthcare workers in rural Ghana conceptualize the interaction between hypertension and depression, and how care for these two conditions might best be integrated. We conducted a qualitative descriptive study involving in-depth interviews with 34 healthcare workers in the Kassena-Nankana districts of the Upper East Region of Ghana. We used conventional content analysis to systematically review interview transcripts, code the data content and analyze codes for salient themes. Respondents detailed three discrete conceptual models. Most emphasized depression as causing hypertension: through both emotional distress and unhealthy behavior. Others posited a bidirectional relationship, where cardiovascular morbidity worsened mood, or described a single set of underlying causes for both conditions. Nearly all proposed health interventions targeted their favored root cause of these disorders. In this representative rural Ghanaian community, healthcare workers widely agreed that cardiovascular disease and mental illness are physiologically linked and warrant an integrated care response, but held diverse views regarding precisely how and why. There was widespread support for a single primary care intervention to treat both conditions through counseling and medication.

Engaging people with lived experience of dementia in research meetings and events: insights from multiple perspectives.

This perspective article describes the experiences of engaging people with lived experience of dementia in research meetings and events from the perspectives of people with lived experience, researchers, trainees, audience members and others. We outline examples of engagement from different events and describe a video project, initiated by people with lived experience, conveying diverse views about becoming integral collaborators in the Canadian Consortium on Neurodegeneration in Aging (CCNA) annual Partners Forum and Science Days. We also report evaluation data from audiences and present a series of tips and strategies for facilitating this engagement, including practical considerations for supporting people with lived experience.

Integrating Similarities Via Local Interaction Consistency and Optimizing Area Under the Curve Measures Via Matrix Factorization for Drug-Target Interaction Prediction.

In drug discovery, identifying drug-target interactions (DTIs) via experimental approaches is a tedious and expensive procedure. Computational methods efficiently predict DTIs and recommend a small part of potential interacting pairs for further experimental confirmation, accelerating the drug discovery process. Although fusing heterogeneous drug and target similarities can improve the prediction ability, the existing similarity combination methods ignore the interaction consistency for neighbour entities. Furthermore, area under the precision-recall curve (AUPR) and area under the receiver operating characteristic curve (AUC) are two widely used evaluation metrics in DTI prediction. However, the two metrics are seldom considered as losses within existing DTI prediction methods. We propose a local interaction consistency (LIC) aware similarity integration method to fuse vital information from diverse views for DTI prediction models. Furthermore, we propose two matrix factorization (MF) methods that optimize AUPR and AUC using convex surrogate losses respectively, and then develop an ensemble MF approach that takes advantage of the two area under the curve metrics by combining the two single metric based MF models. Experimental results under different prediction settings show that the proposed methods outperform various competitors in terms of the metric(s) they optimize and are reliable in discovering potential new DTIs.

From Home to Classroom: Investigating Girls' Participation in Secondary Level Mathematics

This study explores the nuanced journey of girls' participation in secondary level mathematics, investigating the influences of early experiences at home and dynamics within the classroom. Focused on Grade IX students in Gurbhakot Municipality, Surkhet, the research adopts a quantitative approach through a survey design. Five secondary schools were selected using a convenience sampling method, aiming for diversity in community and geographical locations. Data collection involved Likert Scale points, encompassing 30 statements related to girls' participation in mathematics. The analysis revealed key insights, including positive attitudes towards academic engagement, varied opinions on gender perceptions, strong familial support, favorable learning environments at home, and diverse views on societal and parental influences. The study's significance lies in addressing a critical gap in literature by examining the transition from home to the classroom, offering valuable insights for educators and policymakers to enhance gender equity in mathematics education. The findings suggest areas for improvement, such as addressing gender perceptions, improving communication between parents and teachers, and enhancing the appeal of mathematics classes. Recognizing positive aspects, like strong family support and student interest, can contribute to fostering a more inclusive learning environment.