Scientists in the news photos: Photographic portraits of scientists in China (1949-2022).

Photography plays an important role in science communication. This study investigates the photographic portraits of scientists in the news media in China from 1949 to 2022. The data consist of 1,071 photographs published in People's Daily, the most influential newspaper in China. The photographs are analysed according to a framework based on previous studies on the visual representation of scientists. Analysis shows an overall image of scientists that demonstrates distinctive 'Chinese' features, such as the prominence of group photos and governmental honours. Diachronically, the visual image of scientists evolved from the early farmer scientists acclaimed in midst of political struggle to social elites and stars celebrated as China's hope for indigenous innovation. The study enriches our understanding of the visual representation of scientists in China, and sheds light on the influence of culture, politics and social positioning of science and technology on the image of scientists created by the media.

A Deep Learning-Based Rotten Food Recognition App for Older Adults: Development and Usability Study.

BACKGROUND: Older adults are at greater risk of eating rotten fruits and of getting food poisoning because cognitive function declines as they age, making it difficult to distinguish rotten fruits. To address this problem, researchers have developed and evaluated various tools to detect rotten food items in various ways. Nevertheless, little is known about how to create an app to detect rotten food items to support older adults at a risk of health problems from eating rotten food items. OBJECTIVE: This study aimed to (1) create a smartphone app that enables older adults to take a picture of food items with a camera and classifies the fruit as rotten or not rotten for older adults and (2) evaluate the usability of the app and the perceptions of older adults about the app. METHODS: We developed a smartphone app that supports older adults in determining whether the 3 fruits selected for this study (apple, banana, and orange) were fresh enough to eat. We used several residual deep networks to check whether the fruit photos collected were of fresh fruit. We recruited healthy older adults aged over 65 years (n=15, 57.7%, males and n=11, 42.3%, females) as participants. We evaluated the usability of the app and the participants' perceptions about the app through surveys and interviews. We analyzed the survey responses, including an after-scenario questionnaire, as evaluation indicators of the usability of the app and collected qualitative data from the interviewees for in-depth analysis of the survey responses. RESULTS: The participants were satisfied with using an app to determine whether a fruit is fresh by taking a picture of the fruit but are reluctant to use the paid version of the app. The survey results revealed that the participants tended to use the app efficiently to take pictures of fruits and determine their freshness. The qualitative data analysis on app usability and participants' perceptions about the app revealed that they found the app simple and easy to use, they had no difficulty taking pictures, and they found the app interface visually satisfactory. CONCLUSIONS: This study suggests the possibility of developing an app that supports older adults in identifying rotten food items effectively and efficiently. Future work to make the app distinguish the freshness of various food items other than the 3 fruits selected still remains.

Assessing Stock Photos for Farmworker Health and Safety Education Materials.

OBJECTIVES: The aim of this study was to analyze how farmworkers are represented in stock photos available in commercial libraries for use in agricultural health and safety education materials. METHODS: We searched for images in five commercial stock photo libraries using the terms "farmworkers" and "women farmworkers" in April 2022. We used quantitative content analysis. We coded each image for containing a visible face, age, gender, skin tone, work activity, mechanization, presence of hazards, technology use, and protective equipment/clothing after establishing inter-coder reliability. We used descriptive statistics to characterize the available stock photos. RESULTS: We identified stock photos (n = 127) in three databases (Adobe Stock Images, Canva, and Getty Images). Two databases (Microsoft Office Image Library and Pixabay) had no relevant images at the time of the search. Only half of the photos analyzed contained a face. Light skin tones and young or middle-aged adults were more common. A majority of farming activities represented in photos were manual tasks (e.g., harvesting) with few depictions of equipment, hazards, and protective equipment/clothing. CONCLUSIONS: Health and safety professionals tasked with developing materials for education in agricultural settings face a severe lack of imagery pertinent to the realistic conditions of farmworkers in the United States. In the databases we reviewed, photos displaying human faces, photos showing a range of skin tones and ages, and photos displaying an array of different farm hazards are likely not sufficient for material development. Health and safety professionals may benefit from sharing photos from their own work with other professionals and allocating resources for professional photo shoots in their material development projects.

Keeping and Behavior of the Acorn Worm Saccoglossus mereschkowskii (Hemichordata, Enteropneusta) in Laboratory Conditions.

A box was designed to keep the acorn worm Saccoglossus mereschkowskii in laboratory conditions for 60 days and to monitor its behavior and feeding. Locomotion and construction of burrows in the sediment were found to be due to peristaltic movements of the proboscis, which periodically changes its shape from cylindrical to mushroom-like, and vice versa. Worms built U-shaped burrows connected with burrows of neighbor worms by flank anastomoses, thus producing a branched system of passages in a sediment layer up to 8 cm deep. The system is of importance for aeration of the upper sediment layer. When a worm is feeding, the proboscis sticks out from the anterior opening of the burrow and stretches along the surface of the sediment. Organic particles adhere to mucus secreted by the epidermal epithelium of the proboscis and are transported by ciliary beating to a furrow between the collar and proboscis, where the mouth is located.

Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study.

Background: Accurately assessing an individual's diet is vital in the management of personal nutrition and in the study of the effect of diet on health. Despite its importance, the tools available for dietary assessment remain either too imprecise, expensive, or burdensome for clinical or research use. Image-based methods offer a potential new tool to improve the reliability and accessibility of dietary assessment. Though promising, image-based methods are sensitive to adherence, as images cannot be captured from meals that have already been consumed. Adherence to image-based methods may be improved with appropriately timed prompting via text message. Objective: This study aimed to quantitatively examine the effect of prompt timing on adherence to an image-based dietary record and qualitatively explore the participant experience of dietary assessment in order to inform the design of a novel image-based dietary assessment tool. Methods: This study used a randomized crossover design to examine the intraindividual effect of 3 prompt settings on the number of images captured in an image-based dietary record. The prompt settings were control, where no prompts were sent; standard, where prompts were sent at 7:15 AM, 11:15 AM, and 5:15 PM for every participant; and tailored, where prompt timing was tailored to habitual meal times for each participant. Participants completed a text-based dietary record at baseline to determine the timing of tailored prompts. Participants were randomized to 1 of 6 study sequences, each with a unique order of the 3 prompt settings, with each 3-day image-based dietary record separated by a washout period of at least 7 days. The qualitative component comprised semistructured interviews and questionnaires exploring the experience of dietary assessment. Results: A total of 37 people were recruited, and 30 participants (11 male, 19 female; mean age 30, SD 10.8 years), completed all image-based dietary records. The image rate increased by 0.83 images per day in the standard setting compared to control (P=.23) and increased by 1.78 images per day in the tailored setting compared to control (P≤.001). We found that 13/21 (62%) of participants preferred to use the image-based dietary record versus the text-based dietary record but reported method-specific challenges with each method, particularly the inability to record via an image after a meal had been consumed. Conclusions: Tailored prompting improves adherence to image-based dietary assessment. Future image-based dietary assessment tools should use tailored prompting and offer both image-based and written input options to improve record completeness.

Photos Shared on Facebook in the Context of Safe Sleep Recommendations: Content Analysis of Images.

Background: Sudden unexpected infant death (SUID) remains a leading cause of infant mortality; therefore, understanding parental practices of infant sleep at home is essential. Since social media analyses yield invaluable patient perspectives, understanding sleep practices in the context of safe sleep recommendations via a Facebook mothers' group is instrumental for policy makers, health care providers, and researchers. Objective: This study aimed to identify photos shared by mothers discussing SUID and safe sleep online and assess their consistency with infant sleep guidelines per the American Academy of Pediatrics (AAP). We hypothesized the photos would not be consistent with guidelines based on prior research and increasing rates of accidental suffocation and strangulation in bed. Methods: Data were extracted from a Facebook mothers' group in May 2019. After trialing various search terms, searching for the term "SIDS" on the selected Facebook group resulted in the most relevant discussions on SUID and safe sleep. The resulting data, including 20 posts and 912 comments among 512 mothers, were extracted and underwent qualitative descriptive content analysis. In completing the extraction and subsequent analysis, 24 shared personal photos were identified among the discussions. Of the photos, 14 pertained to the infant sleep environment. Photos of the infant sleep environment were then assessed for consistency with safe sleep guidelines per the AAP standards by 2 separate reviewers. Results: Of the shared photos relating to the infant sleep environment, 86% (12/14) were not consistent with AAP safe sleep guidelines. Specific inconsistencies included prone sleeping, foreign objects in the sleeping environment, and use of infant sleeping devices. Use of infant monitoring devices was also identified. Conclusions: This study is unique because the photos originated from the home setting, were in the context of SUID and safe sleep, and were obtained without researcher interference. Despite study limitations, the commonality of prone sleeping, foreign objects, and the use of both infant sleep and monitoring devices (ie, overall inconsistency regarding AAP safe sleep guidelines) sets the stage for future investigation regarding parental barriers to practicing safe infant sleep and has implications for policy makers, clinicians, and researchers.

Clinical Perspectives on the Use of Computer Vision in Glaucoma Screening.

Glaucoma is one of the leading causes of irreversible blindness in the world. Early diagnosis and treatment increase the chances of preserving vision. However, despite advances in techniques for the functional and structural assessment of the retina, specialists still encounter many challenges, in part due to the different presentations of the standard optic nerve head (ONH) in the population, the lack of explicit references that define the limits of glaucomatous optic neuropathy (GON), specialist experience, and the quality of patients' responses to some ancillary exams. Computer vision uses deep learning (DL) methodologies, successfully applied to assist in the diagnosis and progression of GON, with the potential to provide objective references for classification, avoiding possible biases in experts' decisions. To this end, studies have used color fundus photographs (CFPs), functional exams such as visual field (VF), and structural exams such as optical coherence tomography (OCT). However, it is still necessary to know the minimum limits of detection of GON characteristics performed through these methodologies. This study analyzes the use of deep learning (DL) methodologies in the various stages of glaucoma screening compared to the clinic to reduce the costs of GON assessment and the work carried out by specialists, to improve the speed of diagnosis, and to homogenize opinions. It concludes that the DL methodologies used in automated glaucoma screening can bring more robust results closer to reality.

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome.

Our research letter investigates the potential, as well as the current limitations, of widely available text-to-image tools in generating images for medical education. We focused on illustrations of important physical signs in the face (for which confidentiality issues in conventional patient photograph use may be a particular concern) that medics should know about, and we used facial images of hypothyroidism and Horner syndrome as examples.

Collaborative Interpretation of Researcher-Generated Photo-Elicitation Findings: Insights From Women With Lived Experience of Homelessness.

Interviews with individuals experiencing homelessness can be challenging for various reasons, including mental and physical health issues, substance use, and negative experiences with authority figures. Researchers have used photos to facilitate communication and empower participants during data collection. We analyzed data from a previous study to explore the use of researcher-generated photos during interviews about health with 13 women experiencing homelessness. Conversation analysis revealed clear patterns regarding the use of the photos during the interviews. The photos were referred to 118 times over the total interview length, 6 hours and 23 minutes, with the interviewer making 62% of the referrals and the women accounting for 38%. Fifty-nine percent of the referrals occurred within the first 5 minutes of the interviews. The women used the photos to trigger associations and emotions, to describe photo content, or in a minor role during the interview. Interpretations from an advisory board of six women with lived experiences of homelessness suggested that the photos did not engage participants as intended, highlighting the importance of considering participants' perspectives when designing photo-elicitation methods. The feedback also provided valuable insights into interview locations and incentives in research that may have influenced the women's willingness to use the photos. This study emphasizes the importance of understanding the complexity of choosing researcher-generated photos in interviews with underserved, hard-to-reach populations.

Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.

Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve. However, advancement of these methods for dietary assessment in research settings has been hindered by the lack of an appropriate dataset against which to benchmark algorithm performance. We conducted the Surveying Nutrient Assessment with Photographs of Meals (SNAPMe) study (ClinicalTrials ID: NCT05008653) to pair meal photographs with traditional food records. Participants were recruited nationally, and 110 enrollment meetings were completed via web-based video conferencing. Participants uploaded and annotated their meal photos using a mobile phone app called Bitesnap and completed food records using the Automated Self-Administered 24-h Dietary Assessment Tool (ASA24®) version 2020. Participants included photos before and after eating non-packaged and multi-serving packaged meals, as well as photos of the front and ingredient labels for single-serving packaged foods. The SNAPMe Database (DB) contains 3311 unique food photos linked with 275 ASA24 food records from 95 participants who photographed all foods consumed and recorded food records in parallel for up to 3 study days each. The use of the SNAPMe DB to evaluate ingredient prediction demonstrated that the publicly available algorithms FB Inverse Cooking and Im2Recipe performed poorly, especially for single-ingredient foods and beverages. Correlations between nutrient estimates common to the Bitesnap and ASA24 dietary assessment tools indicated a range in predictive capacity across nutrients (cholesterol, adjusted R2 = 0.85, p < 0.0001; food folate, adjusted R2 = 0.21, p < 0.05). SNAPMe DB is a publicly available benchmark for photo-based dietary assessment in nutrition research. Its demonstrated utility suggested areas of needed improvement, especially the prediction of single-ingredient foods and beverages.

Reliability of a frequency method for assessing vegetable intake using photos among college students: a smart phone approach.

OBJECTIVE: To measure the interrater reliability of assessing the frequency of vegetable intake using mobile photos and descriptions. DESIGN: Repeated measures design. SETTING: A Midwestern university. PARTICIPANTS: Undergraduate students (N = 165). MEASURABLE OUTCOME/ANALYSIS: Number of times each of these vegetable subgroups were consumed daily: dark green vegetables, beans and peas, starchy vegetables, and other vegetables. Analysis: Two raters independently coded meals using mobile photos and descriptions of meals. Cohen κ was calculated to determine interrater reliability. RESULTS: A value of κ = 0.9 (p < .001) was obtained, indicating an almost perfect agreement between the two raters. Nearly 92% of participants complied with providing photos along with descriptions of their meals. CONCLUSIONS AND IMPLICATIONS: A frequency method using mobile photos and descriptions of meals is a reliable strategy to assess vegetable consumption. This frequency method can improve data quality, reduce participant burden, and minimize recall bias in college nutrition programs.

Foveal avascular zone segmentation using deep learning-driven image-level optimization and fundus photographs.

The foveal avascular zone (FAZ) is a retinal area devoid of capillaries and associated with multiple retinal pathologies and visual acuity. Optical Coherence Tomography Angiography (OCT-A) is a very effective means of visualizing retinal vascular and avascular areas, but its use remains limited to research settings due to its complex optics limiting availability. On the other hand, fundus photography is widely available and often adopted in population studies. In this work, we test the feasibility of estimating the FAZ from fundus photos using three different approaches. The first two approaches rely on pixel-level and image-level FAZ information to segment FAZ pixels and regress FAZ area, respectively. The third is a training mask-free pipeline combining saliency maps with an active contours approach to segment FAZ pixels while being trained on image-level measures of the FAZ areas. This enables training FAZ segmentation methods without manual alignment of fundus and OCT-A images, a time-consuming process, which limits the dataset that can be used for training. Segmentation methods trained on pixel-level labels and image-level labels had good agreement with masks from a human grader (respectively DICE of 0.45 and 0.4). Results indicate the feasibility of using fundus images as a proxy to estimate the FAZ when angiography data is not available.

The effects of psychosocial interventions using generic photos on social interaction, mood and quality of life of persons with dementia: a systematic review.

BACKGROUND: Although family photos are often used in the psychosocial care for people with dementia, little is known about the use and effectiveness of generic photos. This systematic literature review explored psychosocial interventions using generic photos for people with dementia, and the effects they have on their social interaction and/or mood and/or quality of life. In addition, it was investigated whether these interventions made use of technology in its implementation. METHODS: A systematic search on the following databases was performed: PubMed, Embase, APA PsychInfo, Cinahl, Web of Science, Scopus and Cochrane Central. Inclusion and exclusion criteria were based on the PICO model (Population, Intervention, Comparison, Outcome), and quality assessment was undertaken using the Weight of Evidence Framework. Narrative synthesis was undertaken to summarize study characteristics- settings and designs, type of psychosocial interventions identified, type of photos and technology used, outcome measures, and results. RESULTS: A total of 2,035 results were found, however after title, abstract and full-text screening, a total of 8 studies were included. The most common psychosocial intervention using generic photos was found to be reminiscence therapy, followed by art-viewing activities. In studies that used technology, it was reported that viewing digitalized photos were either similar or better to conventional printed photos. Despite photos being generic, it was found that generic photos could still hold personal significance to the person with dementia. Some positive and significant effects were found for the outcomes social interaction, mood and quality of life, though no study evaluated all three outcomes. Two studies were rated as having high overall quality, 4 were rated as fair, and 2 studies had a low quality assessment rating. CONCLUSION: Studies found using generic photos were limited, showing varying outcomes and methodological quality. Firm conclusions on the effectiveness of interventions using generic photos are not possible. However, the use of generic photos in psychosocial interventions is a promising area for future research. Researchers should consider studies with better methodological quality and larger samples; and qualitative studies where the intention is to get better insight into successful implementation and impact mechanisms of such psychosocial interventions. TRIAL REGISTRATION: n/a.

Ocular Torsion in Children with Horizontal Strabismus or Orthophoria.

PURPOSE: To report the rate of ocular torsion in children with horizontal strabismus or orthophoria. METHODS: A retrospective study design was used. Nineteen children were included in the study, including seven girls, aged 4-16 years. All patients were examined for strabismus and 12 were scheduled for surgical intervention. All participants had digital fundus photos (DRSplus, Padova, Italy) of both eyes at presentation, and 5 of 12 also had fundus photos following the strabismus operation. Patient files were reviewed for age, demographic data, type of strabismus, clinical symptoms and signs, orthoptic exams, subjective and objective reports of torsion, inferior oblique overaction, and V pattern. Fundus photos were analyzed for torsion by ImageJ software [ImageJ 1.54f, National Institute of Health, USA]. The disc-foveal angle was calculated for ocular torsion. Disc-foveal angle was defined as the angle formed between a line passing through the center of the optic disc to the fovea and another horizontal line passing through the center of the optic disc, using fundus photographs. RESULTS: Of the 19 children, 18 had horizontal strabismus: 9 with exotropia and 9 with esotropia. One child was orthophoric with torsional strabismus. Inferior oblique overaction was detected in all but 3 children, while V pattern was documented in 10. Visual acuity was reduced (under 6/12) in four eyes of four children. None were symptomatic for ocular torsion. Although extorsion was documented clinically in 3 of 19 children, it was measurable on fundus photos in all patients before surgery with a mean of 8.7 ± 8.5 degrees and 8.5 ± 9.7 degrees in the right and left eyes, respectively. The mean extorsion in both eyes was 19.7 ± 10.1 degrees and improved to a mean of 15.3 ± 7.9 degrees in the children who were operated on and had documented postoperative fundus photographs. CONCLUSIONS: Extorsion was detected on fundus photos at a significantly higher rate than in clinical examination. Notably, inferior oblique overaction was mainly associated with torsion. This study demonstrated that torsion is underdiagnosed in clinical examinations, as the children are often asymptomatic, but fundus photos which are easily obtained can improve its detection.

Image Quality Assessment for Realistic Zoom Photos.

New CMOS imaging sensor (CIS) techniques in smartphones have helped user-generated content dominate our lives over traditional DSLRs. However, tiny sensor sizes and fixed focal lengths also lead to more grainy details, especially for zoom photos. Moreover, multi-frame stacking and post-sharpening algorithms would produce zigzag textures and over-sharpened appearances, for which traditional image-quality metrics may over-estimate. To solve this problem, a real-world zoom photo database is first constructed in this paper, which includes 900 tele-photos from 20 different mobile sensors and ISPs. Then we propose a novel no-reference zoom quality metric which incorporates the traditional estimation of sharpness and the concept of image naturalness. More specifically, for the measurement of image sharpness, we are the first to combine the total energy of the predicted gradient image with the entropy of the residual term under the framework of free-energy theory. To further compensate for the influence of over-sharpening effect and other artifacts, a set of model parameters of mean subtracted contrast normalized (MSCN) coefficients are utilized as the natural statistics representatives. Finally, these two measures are combined linearly. Experimental results on the zoom photo database demonstrate that our quality metric can achieve SROCC and PLCC over 0.91, while the performance of single sharpness or naturalness index is around 0.85. Moreover, compared with the best tested general-purpose and sharpness models, our zoom metric outperforms them by 0.072 and 0.064 in SROCC, respectively.

Research on Spatio-Temporal Characteristics of Tourists' Landscape Perception and Emotional Experience by Using Photo Data Mining.

Mountainous scenic spots are important tourism resources, and the study of tourists' landscape perception and emotional preference when visiting them is beneficial to the management of scenic spots in order to improve the service quality and promote the protection, development, and utilization of scenic resources. In this paper, we use the location photo data of tourists at Huangshan Mountain to extract the visual semantic information of location photos, calculate the photo sentiment value, and mine the landscape perception and sentiment preference features of tourists using DeepSentiBank image recognition model and photo visual semantic quantification method. The results show the following: (1) Huangshan tourists mainly focus on nine types of photos, with the most attention paid to the category of mountain rock landscapes and the least attention paid to the category of animal landscapes. (2) In terms of spatial distribution, the landscape types of tourist photos show the spatial characteristics of "concentrated into a belt", "significant nucleus", and "fragmented distribution". The spatial variation of the emotional value of tourists' photos is significant, and the high values are mainly distributed at the entrances and exits, interchanges, and famous attractions. (3) On a temporal scale, the type of perception of the Huangshan location photograph landscape shows a significant imbalance. The emotional values of tourists' photos vary significantly, with a "slowly sloping straight line" type of emotional change on the seasonal scale, a "W" type of emotional change on the monthly scale, an "N" type of emotional change on the weekly scale, and an "M" type of emotional change on the hourly scale. This study attempts to explore the landscape perceptions and emotional preferences of tourists in mountainous scenic areas with new data and methods, aiming to promote the sustainable and high-quality development of mountainous scenic areas.

Immersive medium for early clinical exposure - knowledge acquisition, spatial orientation and the unexpected role of annotation in 360° VR photos.

Aim: 360° VR photos could be a low-threshold possibility to increase early clinical exposure. Apart from granting insights into local routines and premises, the medium should facilitate knowledge acquisition and spatial orientation depending on its design. This assumption, however, is not yet substantiated empirically. Thus, three hypotheses were tested in consideration of Mayer's modality principle: 1) Providing 360° VR photos as visual reference improves retention and comprehension of information. 2) The annotation of text boxes in 360° VR photos compromises spatial orientation and presence. 3) Annotated audio commentary is superior to annotated text boxes in terms of cognitive load and knowledge acquisition. Methods: Using head-mounted displays, students of human (N=53) and dental medicine (N=8) completed one of three virtual tours through a surgical unit, which were created with 360° VR photos. In the first two variants, information about the facilities, medical devices and clinical procedures was annotated either as text boxes or audio commentary comprising 67 words on average (SD=6.67). In the third variant, the same information was given separately on a printed handout before the virtual tour. Taking user experience and individual learner characteristics into account, differences between conditions were measured regarding retention, comprehension, spatial orientation, cognitive load, and presence. Results: Concerning retention and comprehension of information, annotated text boxes outperformed annotated audio commentary and the handout condition. Although annotated audio commentary exhibited the lowest knowledge test scores, students preferred listening over reading. Students with an interest in VR and 360° media reported higher levels of enjoyment and presence. Regarding spatial orientation and presence, no significant group differences were found. Conclusions: 360° VR photos can convey information and a sense of spatial orientation effectively in the same learning scenario. For students, their use is both enjoyable and instructive. Unexpectedly, the ideal mode of annotation is not dictated by Mayer's modality principle. For information like in this study, annotated text boxes are better for knowledge acquisition than the subjectively preferred audio commentary. This finding is probably contingent on the length and the quality of the annotated text. To identify boundary conditions and to validate the findings, more research is required on the design and educational use of 360° VR photos.

The Cost of Diversity: An Analysis of Representation and Cost Barriers in Stock Photo Libraries for Health Education Materials, 2021.

INTRODUCTION: Ineffective health communication can drive health disparities and limit the effectiveness of interventions to reduce them. Stock photo libraries are a critical tool for developers of patient education, health education, and intervention materials. It is not clear how well stock photo libraries represent communities bearing disproportionate burdens of disease. METHOD: We conducted a search using five popular stock image libraries (Adobe Stock Images, Canva, Getty Images, Microsoft Office Image Library, and Pixabay) in November 2021 to evaluate diversity and representation in health-related stock photos. We searched for the following five key preventive health topics: healthy eating, exercising, quitting smoking, vaccination, and pregnancy. The images (N = 495) were coded for age, gender presentation, representation of perceived minoritized racial/ethnic identity, skin color using the Massey-Martin skin color scale, markers of high socioeconomic status (SES), and access costs. Results. The representation of perceived minoritized people, darker skin color, and inclusion of markers of high SES varied greatly by the search term and library. Images predominately portrayed young adults and adults, with limited representation of other age groups. Images in libraries with any paywall were significantly more likely to depict a person of perceived minoritized racial/ethnic identity and depict darker skin colors, and were significantly less likely to contain markers of high SES identity than images in libraries that were free to use. DISCUSSION: We found that it costs more to develop culturally relevant health education materials for minoritized populations and groups that do not represent high SES populations. This may hinder the development of effective communication interventions.

Impact of Iran's Forest Nationalization Law on Forest Cover Changes over Six Decades: A Case Study of a Zagros Sparse Coppice Oak Forest.

Forest nationalization policies in developing countries have often led to a reduction in local forest ownership rights and short- or long-term exploitative behaviors of stakeholders. The purpose of this research is to quantify the effect of Iran's Forest Nationalization Law (FNL) in a part of Zagros Forest over a 68-year time period (1955-2022) using 1955 historical aerial photos, 1968 Corona spy satellite photography, and classification of multi-temporal Landsat satellite images. A past classification change detection technique was used to identify the extent and the pattern of land use changes in time. For this purpose, six periods were defined, to cover the time before and after the implementation of FNL. A 0.27% deforestation trend was identified over the period after the FNL. Dense and open forested area has decreased from 7175.62 ha and 68,927.46 ha in 1955 to 5664.26 ha and 59,223.38 ha in 2022. The FNL brought decisive changes in the legal and forest management systems at the state level, mainly by giving their ownership to the state. Accordingly, the FNL and the related conservation plans have not fully succeeded in protecting, rehabilitating, recovering, and developing the sparse Zagros Forest ecosystems, as their most important goals.