<p>This special issue explores the critical and transformative potential of geomedia within contemporary society. Geomedia, representing an epochal shift in spatial mediations and spatialized media, significantly influences daily life through processes of geomediatization. We advocate for a comprehensive understanding of geomedia that transcends technological determinism, incorporating historical, contextual, and relational perspectives. Engaging with concepts from critical future studies and sociotechnical imaginaries allows for challenging the dominant narratives of geomediatization realism and for promoting the exploration of diverse, equitable, and sustainable futures. Through various methodological approaches, including critical discourse analysis, participatory action research, and Actor-Network Theory, the articles in this special issue examine the role of geomedia in urban planning, tourism, surveillance governance, and socio-political imaginaries. The special issue emphasizes the importance of envisioning alternative futures that resist technological rationalization and commodification, advocating for more inclusive and human-centered mediatized places. This work contributes to the ongoing discourse on geomedia studies, highlighting the need for critical and interdisciplinary approaches to understand and shape the future of mediatized spaces and place-based technologies.</p>

Background: The increased prevalence of morbidity and mortality associated with Type 2 diabetes is due to changing lifestyles, demanding improved disease management measures. To tackle this, scientists are increasingly looking to technological advances, notably machine learning, for illness prevention and management, particularly in non-communicable diseases. The emphasis is on establishing an early detection system to identify Type 2 diabetes risk factors, enabling prompt treatments and preventative steps to reduce the disease’s rising prevalence. Materials and methods: The research aimed to assess the association of diabetes class with health indicators. Five machine learning models were employed with cross-validation techniques to predict early diabetes risk. The performance matrices of the models were evaluated and compared with the existing work. Results: In multivariate analysis, we found polyuria (β=3.492; Aor=32.872; 95% CI=11.09,97.35; p<0.001), polydipsia (β=-4.100; Aor=60.378; 95%CI=18.28,199.37; p<0.001), polyphagia (β=1.181; Aor=3.25; 95%CI=1.23,8.57; p=0.017), genital thrush (β=1.08; Aor=2.96; 95%CI=1.26,7.53; p=0.023), irritability (β=2.28; Aor=9.82; 95%CI=3.41,28.26; p<0.001), and partial paresis (β=1.2406; Aor=3.45; 95% CI=1.35,8.79; p=0.009) are the potential health risk indicators for positive diabetes class. Conclusion: Using an interpretable feature learning approach for early diabetes prediction improves the use of global health data. This method forecasts hazards correctly and gives insights into influential aspects. As a result, a more proactive healthcare strategy is implemented, allowing for more prompt treatments and encouraging a more hopeful future by improving patient outcomes and lowering the total burden of diabetes on individuals and healthcare systems.

<p>In many mega cities, billboards dominate the country’s urban landscape and visual culture. Billboards here are not only a final product but are embedded in a network that employs agency in creating the presented visuality, both the physical and imaginary space. In Cairo, real estate advertisements dominate Cairo’s billboards affecting and representing its urban-visual experience.</p><p>In fact, it is widely agreed that visualizations play a vital role in designing and planning cities; however, to what extent they impact planning practice, and the planners who create them is still under-researched. In this article, I investigate Cairo as a case study to understand how the visualizations produced by planners restructure the planning profession.</p><p>This research uses an assemblage ontology and Actor-Network-Theory (ANT). I start from analyzing the real estate images (3-D renderings) communicated in Cairo’s billboards and then go backward to the planning offices and planners who create those images and interview them. A dataset of 209 billboards is selected for this investigation.</p><p>The research shows how urban planners become visualizers using media and focusing on producing visualizations (instead of having specific planning values). Hence, the different media assemblages that are used/employed by different actors/actor groups – and that through the specific assemblages of media, one can reflect on (1) planning practice – how planning is done, (2) the kind of city planners see/plan and (3) the kind of public sphere they co-produce/are part of. </p>

Background: Executive functions (EFs) are crucial cognitive functions that mature from birth to adolescence. They are vital for daily task execution and overall success and also influence language and communication development. Children with EFs deficits often experience delays in language and speech abilities. These impairments are particularly prevalent among individuals with cleft lip and palate. Consequently, speech and language pathologists must address these impairments through assessments and interventions. Despite this urgent need for action, there is a scarcity of research on executive function performance in this population in Thailand, prompting an investigation to address this issue. This study explores executive function performance in this population to enhance the quality of life for individuals with cleft lip and palate. Materials and methods: Using a survey-based approach, executive function performance was assessed in 5- to 15-year-old volunteer with non-syndromic cleft lip and palate attending the speech therapy camp provided by the Princess Sirindhorn IT Foundation Craniofacial Center at Chiang Mai University in April 2024. Parents completed the Behavior Rating Inventory of Executive Function (Parent form), with scores ≥65 indicating executive function difficulties. Results: The study involved 29 participants, 14 males (48.28%) and 15 females (51.72%), with a mean age of 8 years and 9 months. Average scores for executive function abilities in BRI, MI, and GEC were 52.21, 56.48, and 58.90, respectively. There are several participants with abnormal executive function in each age group, along with their average T-scores across different domains. Children aged 5, 6-8, and 9-11 have T-scores for executive function performances falling into problematic levels for 1, 2, and 5 individuals, respectively. Conclusion: Most of the sample group demonstrated executive function skills within the normal range. However, a certain number of individuals experienced issues with executive function. These findings offer guidance for speech and language pathologists and emphasize the importance of executive function in individuals with cleft palates.

Background: Stress is a risk factor for metabolic syndrome (MetS). High and low sensory stimulation can trigger high stress, but no research exists on the relationship between sensory processing patterns and stress among people with MetS. Objective: This study examined the association between sensory processing patterns and stress. Materials and methods: A total of 117 people with MetS in the Nam Phrea subdistrict, Hang-Dong District, Chiang-Mai Province, Thailand, aged 35-85, completed the Thai Sensory Patterns Assessment-Adult Version (TSPA) and the Thai Stress Test (TST-24). Demographic and metabolic variable information was gathered. Descriptive statistics were used to summarize the demographic characteristics and stress. Spearman’s correlation and regression analysis examined the associations between the sensory processing patterns in each sensory modality and stress scores. Results: A total stress score was significantly correlated with preferences in visual and auditory senses, as well as with arousal levels in visual and smell-taste senses (r =-0.397, -0.199, -0.358, 0.268, and p<0.05). Regression analysis revealed that stress can be predicted by preferences and arousal levels in visual and smell-taste senses (R2 =0.156, 0.039, 0.174, and 0.050, respectively; p<0.05). Conclusion: The results suggest that sensory processing patterns might associated with stress, which is a predictor of MetS. Health professionals can utilize acquired knowledge to implement sensory-based interventions for individuals with MetS to address their stress issues.

Background: Aphasia is a condition that happens when certain areas of the brain responsible for language are damaged, causing difficulties in communicating. Treatment involving speech and language interventions is essential for rehabilitating communication abilities. However, due to accessibility and distancing challenges, access to these medical services has been restricted, especially during COVID-19. Telepractice was introduced as an alternative approach to speech and language therapy. However, there currently needs to be more research on its application, specifically within the aphasia population in Thailand. Objective: This study aimed to investigate the effectiveness of telepractice in aphasia intervention to enhance the general practice standard and to explore satisfaction with using telepractice in speech therapy among aphasia patients and their caregivers. Materials and methods: Sixteen participants were recruited for this study, comprising eight aphasia patients and eight caregivers. A standardized aphasia test, the Thai Adaptation of the Western Aphasia Battery (TWAB), was used for pre- and postassessments. Additionally, satisfaction surveys were employed to gauge significant satisfaction levels among participants. A one-month telepractice intervention (12 sessions in total) was conducted between the pre- and post-assessments to determine the effectiveness of telepractice based on its impact on TWAB test scores. Results: Overall, this study revealed a significant improvement in the Aphasia Quotient (AQ) as measured by the TWAB test (p=0.011). However, only the repetition and naming sub-tests showed significant improvement between pre- and post-assessment (p=0.019 and p=0.011). The satisfaction levels were reported as high to very high. Conclusion: This study demonstrated the effectiveness of telepractice in aphasia intervention, particularly in improving naming and repetition skills and eliciting a high to very high level of satisfaction among patients and their caregivers.

Infrastructure development has an important contribution in improving the national economy and realizing people's welfare. However, there are still problems in the implementation, namely the government's limited ability to fund infrastructure development projects. For this reason, the government has actually attempted to create a mechanism in the form of Public Private Partnership (PPP) by emphasizing risk sharing between the government and the private sector. However, this effort did not run smoothly because there were other risks, one of which was related to project financing which was at risk of currency value fluctuations. This situation shows that there is a need for a solution to optimize project financing in Indonesia through the Gold Bullion Funding (GBF) mechanism. The research method used is normative legal research by utilizing a qualitative method in analyzing data or secondary data through searching regulations and literature related to the object of the problem. Based on the research results, the author initiated the GBF mechanism to answer problems related to the implementation of project finance in PPPs. Regarding its implementation, the GBF mechanism will refer to the OJK regulation regarding the implementation of bullion business activities in order to optimize the government's role in forming the bullion ecosystem in Indonesia. With this mechanism, problems related to currency fluctuations in project finance in Indonesia can be resolved so that development can be realized that is effective, efficient and provides benefits to society.

The concept of geomediatization has proven to be productive for describing current processes of geodatafication and geospatial technologies. With its focus on their future, this issue calls for research into geomediatization beyond a narrow geomediatization realism. In my commentary, I take up this call and present some reflections from my research on recent corporate involvement in OpenStreetMap and the messy politics of digital commons. I argue that OpenStreetMap can tell us something about geomedia futures that challenges geomediatization realism but is also a sort of geomediatization pragmatism. This is not disruptive futurism but a project of digital commons that is constantly negotiating power, access and enclosure.

This research aims to analyze public sentiment towards supporting the DPR's right to inquiry in the 2024 Election fraud issue using the Support Vector Machine (SVM) method. Data was obtained from the social media application X which has a wide user base and is relevant to the issue under study. Comments on the application are classified into positive and negative sentiments after going through the pre-processing stage. The SVM method was chosen because of its high ability in text classification based on appropriate kernels. This research shows how much influence the X application has in identifying public sentiment and the effectiveness of the SVM method in sentiment classification. It is hoped that the research results will provide in-depth insight into public sentiment regarding the issue of fraud in the 2024 elections and support better decision making in the context of politics and democracy in Indonesia.

Background: School-based occupational therapists (SBOTs) work as health professionals in educational settings. School performance readiness is within the scope of SBOTs in providing a service for students who might have experienced decreasing performance during their school life. Objective: This study aimed to explore the school performance readiness of elementary students with disabilities before starting the occupational therapy program in special education schools. Materials and methods: The school performance readiness checklist for students with disabilities in special education schools was the research instrument. It comprised four areas: physical, social and emotional, pre-academic, and self-care readiness. Seventy-five elementary students with disabilities participated in this study. They consisted of 41 students with intellectual disability, 21 students with physical disability, and 13 students with sensory disability. Results: Results from the initial semester in special education schools showed that most of the students with disabilities (85.33%) needed support in promoting their school performance readiness, particularly in pre-academic readiness. This included most of those with intellectual disability (33.33%) and all of those with sensory disabilities, while all of the students with physical disabilities needed support in promoting physical readiness. Conclusion: Most students with disabilities needed support in promoting their school performance readiness according to their type of disability. Although the special education schools had enrolment criteria, SBOTs and school professionals should be concerned with providing related intervention programs to promote school readiness, particularly pre-academic readiness.