Search Results (49)

Cultivating crops in the hot, arid conditions of the Arabian Peninsula often requires irrigation with brackish water, which exposes plants to salinity and heat stress. Timely, cost-effective monitoring of plant health can significantly enhance crop management. In this context, remote sensing techniques offer promising alternatives. This study evaluates several low-cost, ground-level remote sensing methods and compares them with benchmark analytical techniques for assessing salt stress in two economically important woody species, moringa and pomegranate. The species were irrigated under three salinity levels: low (2 dS m⁻¹), medium (5 dS m⁻¹), and high (10 dS m⁻¹). Remote sensing tools included RGB, multispectral, and thermal cameras mounted on selfie sticks for canopy imaging, as well as portable leaf pigment and chlorophyll fluorescence meters. Analytical benchmarks included sodium (Na) accumulation, carbon isotope composition (δ¹³C), and nitrogen (N) concentration in leaf dry matter. As salinity increased from low to medium, canopy temperatures, vegetation indices, and δ¹³C values rose. However, increasing salinity from medium to high levels led to a rise in Na accumulation without further significant changes in other remote sensing and analytical parameters. In moringa and across the three salinity levels, the Normalized Difference Red Edge (NDRE) and leaf chlorophyll content on an area basis showed significant correlations with δ¹³C (r = 0.758, p < 0.001; r = 0.423, p < 0.05) and N (r = 0.482, p < 0.01; r = 0.520, p < 0.01). In pomegranate, the Normalized Difference Vegetation Index (NDVI) and chlorophyll were strongly correlated with δ¹³C (r = 0.633, p < 0.01 and r = 0.767, p < 0.001) and N (r = 0.832, p < 0.001 and r = 0.770, p < 0.001). Remote sensing was particularly effective at detecting plant responses between low and medium salinity, with stronger correlations observed in pomegranate. Full article

This study investigates the key components of teachers’ self-assessed artificial intelligence (AI) literacy competencies and how they align with existing digital literacy frameworks. The rapid development of AI technologies has highlighted the need for educators to develop AI-related skills and competencies in order to meaningfully integrate these technologies into their professional practice. A pilot study was conducted using a self-assessment questionnaire developed from frameworks such as DigiCompEdu and the Selfie for Teachers tool. The study aimed to explore the relationships between AI literacy competence and already defined digital skills and competencies through principal component analysis (PCA). The results revealed distinct components of AI literacy and digital competencies, highlighting competence overlaps in some areas, for example, digital resource management, while also confirming that AI literacy competencies form a separate and essential category. The findings show that although AI literacy aligns with other digital skills and competencies, focused attention is required to professionally develop AI-specific competencies. These insights are key elements of future research to refine and expand AI literacy tools for educators, providing targeted professional development programs to ensure that teachers are ready for the opportunities and challenges of AI in education. Full article

Humans have long delighted in being entertained by captive wild animals. In zoos and aquariums, animal–visitor interactions allow visitors to experience direct or indirect contact with animals. Well-managed animal–visitor interactions can help zoos and aquariums contribute to their educational objectives by eliciting pro-conservation behaviours from visitors while providing good animal welfare for the animals involved. However, some interactions are dysfunctional because they cause physical and psychological harm to the animal and reinforce negative values and beliefs towards conservation. We aimed to assess how dysfunctional animal–visitor interactions are and whether accreditation by zoological associations reduced the number of such interactions. We visited Thai zoos in person and conducted online monitoring of facilities in Southeast Asia. We report 1165 animal–visitor interactions in nine Southeast Asian countries in 225 zoos and aquariums. Taking photos with animals (“selfies”) and riding on animals were scored as the animal–visitor interactions that were the most dysfunctional. The number of animal–visitor interactions was not less in accredited zoos, and there was little difference among countries. Behaviour change needs to form a strategy for change, in addition to robust legislation and improved efforts by zoological associations to push members to maintain standards and mentor non-accredited facilities. Full article

Selfies provide unique opportunities to explore, document, and interact with the self through photography. However, the inherent intrapersonal affordance of self-portraiture becomes a unique manifestation of masspersonal theory when selfies are shared, a step that is often assumed but not unpacked in selfie research. Therefore, it is essential to understand when and for whom these intrapersonal and interpersonal moments evolve into masspersonal moments or communication episodes. This study uses a novel strategy to investigate selfie behavior–the likelihood of taking and sharing selfies–to assess individual differences between selfie-takers, or “selfiers”. Discerning selfiers–people more likely to take than share selfies–report greater control and self-esteem compared to non-discerning selfiers, who are equally as likely to take as share selfies. Furthermore, control mediates the effect of selfier type on self-esteem; discerning selfiers report that others are not in control of their life, resulting in greater security regarding others’ perceptions of them. The current findings reveal the unique effects of differential deployment of selfies. Full article

Alzheimer’s disease is a serious illness with a protracted caregiving experience; however, care coordination interventions often lack the inclusion of palliative care. The purpose of this integrative review is to identify and synthesize existing care coordination interventions that include palliative care for individuals with dementia and their caregivers living in community settings. The Whittemore and Knafl framework guided the review, with data analysis guided by the SELFIE framework domains. Study quality was assessed using the Mixed Methods Appraisal Tool, while the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines informed reporting results. Nine care coordination interventions involving family caregivers across eighteen publications were identified. Only a single intervention explicitly mentioned palliative care, while the remaining interventions included traditional palliative care components such as advance care planning, symptom management, and emotional support. Many of the identified interventions lacked theoretical grounding and were studied in non-representative, homogeneous samples. Further research is needed to understand the lived experiences of people with dementia and their caregivers to alleviate care coordination burden. Full article

Small-molecule drug design aims to generate compounds that target specific proteins, playing a crucial role in the early stages of drug discovery. Recently, research has emerged that utilizes the GPT model, which has achieved significant success in various fields to generate molecular compounds. However, due to the persistent challenge of small datasets in the pharmaceutical field, there has been some degradation in the performance of generating target-specific compounds. To address this issue, we propose an enhanced target-specific drug generation model, Adapt-cMolGPT, which modifies molecular representation and optimizes the fine-tuning process. In particular, we introduce a new fine-tuning method that incorporates an adapter module into a pre-trained base model and alternates weight updates by sections. We evaluated the proposed model through multiple experiments and demonstrated performance improvements compared to previous models. In the experimental results, Adapt-cMolGPT generated a greater number of novel and valid compounds compared to other models, with these generated compounds exhibiting properties similar to those of real molecular data. These results indicate that our proposed method is highly effective in designing drugs targeting specific proteins. Full article

Social media platforms, such as Instagram, provide space for marginalized groups to connect, learn about and express themselves, and cultivate community. Trans Latinas, a group target of violence and discrimination, resist by expressing themselves and building community through social media. As cisgender researchers, we explored how trans Latinas use #translatina on Instagram as a shared space to present themselves and their identities, to leverage this knowledge in our fields. We analyzed 134 posts in February and March of 2020 employing basic and interpretive content analyses while considering Goffman’s theory of presentation of self. Results showed that trans Latinas mostly presented individually through posed selfies taken near the camera, using a straight camera angle, standing, not smiling, and making eye contact. Most users wore makeup, styled hair, and accessories. Analyzing written captions and photos, four themes were constructed to understand how trans Latinas presented their identities and connected with others: (1) expressions of beauty and femininity, (2) fostering community, (3) commercial or work, and (4) feeling good and confident. These results have implications for mental health and health promotion practices, as social media could serve as affirming spaces for trans Latinas to reinforce their self-determination, maintain a sense of self, and build community. Full article

In this study, we proposed a system to reduce the speaker’s suffering from the strong light of a beam projector by applying regional brightness control over the screen. Since the original image and the projected one on the screen are quite different in area, brightness, and color, the proposed system first transforms them so that they have the same area and similar color tone. Then, to accurately determine the difference between those images, we have introduced a SSIM map, which is a perception-based method of measuring image similarity. Accordingly, an image segmentation model is used to determine the speaker’s silhouette from the SSIM map. We applied a couple of well-trained segmentation models, such as Selfie and DeepLab-v3, provided with MediaPipe. The experimental results showed the operability of the proposed system and that it determines most of a lecturer’s body area on the screen. To closely evaluate the system’s effectiveness, we have measured error rates consisting of false-positive and false-negative errors in the confusion matrix. With the measured results, the error rates appeared so insignificant and stable that the proposed system provides a practical effect for the speakers, especially in the case of applying DeepLab-v3. With the results, it is implied that an accurate segmentation model can considerably elevate the effectiveness of the system. Full article

Oropharyngeal cancers (OPCa) caused by HPV have emerged as one of the leading causes of malignancies caused by HPV infection. They are also significantly more likely to occur in males and in people with a history of oral sex with multiple partners. Gay and bisexual men are disproportionately affected by HPV-positive oropharyngeal cancers. We studied 1699 gay and bisexual men on 2 major dating sites in the US to assess their knowledge about HPV-related OPCa, attitudes toward screening for it, beliefs about oropharyngeal cancer screening based on the Health Belief Model, and attitudes toward possible screening approaches for OPCa. Knowledge on a 12-item scale was low, with a median of 5 items correct: 72% knew of the benefits of HPV vaccination. Significant predictors of needing OPCa screening included perception of risk for OPCa, seeing it as severe, having lower barriers, fewer reasons to avoid screening, higher knowledge, and being HPV vaccinated were significant predictors, explaining half the total variance. Most participants would accept routine, virtual/online doctor or dental appointments, and over half would accept an in-person screening. Nearly two-thirds stated that they would accept getting checked for OPCa if they could do self-screening at home, and half were prepared to use an online screening tool or app, where they could take an “oral selfie” and send it to a healthcare provider for examination. One-third stated that they would trust the results of a home screening completed by themselves and posted to a website equally as cancer screening completed online by a healthcare provider. Data indicate that despite low OPCA knowledge levels, the risk of HPV-associated OPCa was known. Being at personal risk and having knowledge of disease severity had 70% of the sample thinking about, or preparing to get, screening. Self-screening by a smartphone “oral selfie” transmitted to a screening website was acceptable to many gay and bisexual men, and online screening by a doctor or dentist was acceptable to most. OPCa screening in this population using electronic technology, together with the increasing incidence of HPV-associated OPCa in gay and bisexual men, brings together an opportunity to detect OPCa early. Full article

In clinical practice, self-administered and brief tools to promptly identify older people at risk of frailty are required. The Multidimensional Prognostic Index (MPI), derived from the Comprehensive Geriatric Assessment (CGA) seems reliable enough to serve this purpose, but despite the several versions developed over the past 15 years, it lacks a self-administered and brief version. In this study, we aimed to evaluate the agreement between an abbreviated form of the SELFY-MPI (i.e., SELFY-BRIEF-MPI) and the standard version of the MPI. Four Italian hospitals consecutively enrolled outpatients and inpatients >65 years. The sample included 105 participants (mean age = 78.8 years, 53.3% females). Overall, the two versions showed non-statistically significant differences (Standard-MPI 0.42 ± 0.19 vs.. SELFY-BRIEF-MPI 0.41 ± 0.18; p = 0.104) and a very strong correlation (R = 0.86, p < 0.001). The Bland–Altman Plot revealed that only 5/105 measurements (4.76%) were outside the limits of agreement. The accuracy of the SELFY-BRIEF-MPI in identifying frail people (defined as a Standard-MPI > 0.66) was optimal (area under the curve, AUC = 0.90, p < 0.001). To predict multidimensional frailty, a SELFY-BRIEF-MPI score of 0.60 exhibited the greatest sensitivity/specificity ratio. In conclusion, the SELFY-BRIEF-MPI reported a good agreement with the standard version of the MPI, indicating its application in the screening of multidimensional frailty among older people. Full article

Macroplastic pollution in mountain rivers can threaten water resources, biodiversity, and the recreational values provided by them. The first step towards evaluating and then mitigating these risks is the systematic collection of reliable and spatially uniform data on the amount and type of macroplastics deposited in different land covers occurring in a mountain river channel. To maximise the opportunity for the large-scale collection of such data using the citizen science approach, we propose in this study an illustrated step-by-step guide to sample the macroplastic deposited along mountain rivers and to record the collected information using a photo taken by smartphone and a simple online form. Our guide includes three steps: (i) the location of sampling plots across 3–4 predefined surface covers occurring in mountain rivers of temperate climate, (ii) the hand collection of macroplastic deposited in them, and (iii) the photorecording and archiving of information on macroplastics collected using a smartphone and an online form. The proposed guide can allow for the low-cost collection of data on macroplastic deposition in mountain rivers on regional and global scales. The collected data can be further analysed by environmental scientists to quantify the amount and types of macroplastic deposited and to evaluate the resulting risks. They can be also used as illustrative materials to increase the awareness of local communities about the plastic pollution problem. Full article

This paper reports on data from interviews conducted with parents of high school-aged teens as part of a study which was aimed at better understanding the gendered dimensions of youth sexting and social media use, and the community responses to it. Here, we outline the findings on parents’ key concerns around digital and social media, their perceptions of the gendered dynamics of youth self-imaging practices, and their attitudes towards sexting and potentially “sexualized” self-images. Echoing other research in this area, parents were not overly concerned about sexting, nor sexual image-sharing or sexual media use among teens. Rather, their key concerns were more generally about the intensities and pressures of constant contact with peers in the digital era. They did, however, articulate key gender differences and socialization processes around youth self-imaging practices. We discuss the gendered cultural “attunements to sexualization” that parents negotiate in relation to social media image-sharing practices and suggest that the perspectives and experiences described can be understood as part of a broader cultural “psychologization”, and often psycho-pathologizing, of youth self-images in digitally networked intimate publics that is particularly intense around the vectors of gender and sexuality. Full article

In late December 2019, a cluster of previously unidentified coronavirus cases emerged in Wuhan, China. Subsequently, the virus quickly spread to the whole world in a matter of few months. At that point in time, there were no known treatments for COVID-19. Therefore, to limit the spread of virus transmission, the public was advised to maintain social distancing and wear a face mask. In Malaysia, most people were compliant and adhered to the standard of procedure (SOP). However, it was observed that many people were not wearing the mask correctly. Therefore, this paper aims to analyze how image classification using machine learning algorithms can be used to detect whether a face mask is properly worn. In this research, a total of 1222 color images (selfies) were used to build five machine learning models, in particular Naïve Bayes (NB), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and K-Nearest Neighbors (KNN), to classify three methods of mask-wearing: mask correctly worn, mask incorrectly worn, and mask not worn. Our results show that Decision Tree is the best model among these five models in terms of accuracy (85.7%), precision (85.9%), recall (85.7%), and F1-Score (85.7%). However, it was observed that when classifying mask-wearing images the decision tree approach was not able to identify images with a similar pattern, for example, in the cases of mask under the nose and mask correctly worn. From an awareness perspective, this study emphasizes the need for the public to properly wear their face mask to reduce the spread of COVID-19 and the effectiveness of image classification in detection of face mask wearing. Full article

Background: Lateral epicondylitis (LE) is one of the most diagnosed elbow pathologies. The purpose of this study was to determine the diagnostic test accuracy of a new test (selfie test) for the diagnosis of LE. Methods: Medical data were collected from adult patients who presented with LE symptoms and ultrasound findings that supported the diagnosis. Patients underwent a physical examination, including provocative tests for diagnosis as well as the selfie test, and were asked to fill out the Patient-Rated Tennis Elbow Evaluation (PRTEE) questionnaire and subjectively rate the activity of their affected elbow. Results: Thirty patients were included in this study (seventeen females, 57%). The mean age was 50.1 years old (range of 35 to 68 years). The average duration of symptoms was 7 ± 3.1 months (range of 2 to 14 months). The mean PRTEE score was 61.5 ± 16.1 (range of 35 to 98), and the mean subjective elbow score was 63 ± 14.2 (range of 30 to 80). Mill’s, Maudsley’s, Cozen’s, and the selfie tests had sensitivities of 0.867, 0.833, 0.967, and 0.933, respectively, with corresponding positive predictive values of 0.867, 0.833, 0.967, and 0.933. Conclusions: The selfie test’s active nature, which allows patients to perform the assessment themselves, could be a valuable addition to the diagnostic process, potentially improving the accuracy of the diagnosis of LE (levels of evidence: IV). Full article

Tooth shade determination methods for evaluating the effectiveness of whitening products at home are limited. In this study, an iPhone app for personalized tooth shade determination was developed. While capturing dental photographs in selfie mode before and after whitening, the app can maintain consistent illumination and tooth appearance conditions that affect tooth color measurement. An ambient light sensor was used to standardize the illumination conditions. To maintain consistent tooth appearance conditions determined by appropriately opening the mouth, facial landmark detection, an artificial intelligence technique that estimates key face parts and outlines, was used. The effectiveness of the app in ensuring uniform tooth appearance was investigated through color measurements of the upper incisors of seven participants via photographs captured in succession. The coefficients of variation for incisors L*, a*, and b* were less than 0.0256 (95% CI, 0.0173–0.0338), 0.2748 (0.1596–0.3899), and 0.1053 (0.0078–0.2028), respectively. To examine the feasibility of the app for tooth shade determination, gel whitening after pseudo-staining by coffee and grape juice was performed. Consequently, whitening results were evaluated by monitoring the ∆E_ab color difference values (1.3 unit minimum). Although tooth shade determination remains a relative quantification method, the proposed method can support evidence-based selection of whitening products. Full article