Multistage classification of multispectral Earth observational data: The design approach

An algorithm is proposed which predicts the optimal features at every node in a binary tree procedure. The algorithm estimates the probability of error by approximating the area under the likelihood ratio function for two classes and taking into account the number of training samples used in estimating each of these two classes. Some results on feature selection techniques, particularly in the presence of a very limited set of training samples, are presented. Results comparing probabilities of error predicted by the proposed algorithm as a function of dimensionality as compared to experimental observations are shown for aircraft and LANDSAT data. Results are obtained for both real and simulated data. Finally, two binary tree examples which use the algorithm are presented to illustrate the usefulness of the procedure

A multispectral data simulation technique

There are no author-identified significant results in this report

Design of a Novel Low Cost Point of Care Tampon (POCkeT) Colposcope for Use in Resource Limited Settings

Introduction: Current guidelines by WHO for cervical cancer screening in low- and middle-income countries involves visual inspection with acetic acid (VIA) of the cervix, followed by treatment during the same visit or a subsequent visit with cryotherapy if a suspicious lesion is found. Implementation of these guidelines is hampered by a lack of: trained health workers, reliable technology, and access to screening facilities. A low cost ultra-portable Point of Care Tampon based digital colposcope (POCkeT Colposcope) for use at the community level setting, which has the unique form factor of a tampon, can be inserted into the vagina to capture images of the cervix, which are on par with that of a state of the art colposcope, at a fraction of the cost. A repository of images to be compiled that can be used to empower front line workers to become more effective through virtual dynamic training. By task shifting to the community setting, this technology could potentially provide significantly greater cervical screening access to where the most vulnerable women live. The POCkeT Colposcope’s concentric LED ring provides comparable white and green field illumination at a fraction of the electrical power required in commercial colposcopes. Evaluation with standard optical imaging targets to assess the POCkeT Colposcope against the state of the art digital colposcope and other VIAM technologies. Results: Our POCkeT Colposcope has comparable resolving power, color reproduction accuracy, minimal lens distortion, and illumination when compared to commercially available colposcopes. In vitro and pilot in vivo imaging results are promising with our POCkeT Colposcope capturing comparable quality images to commercial systems. Methods: Rapid 3D printing, consumer grade light sources, and cameras were used to construct the TVDC. The TVDC’s concentric LED ring provides comparable white and green field illumination at a fraction of the electrical power required in commercial colposcopes, and crossed polarizers provide a reduction in glare. Evaluation was performed using standard optical imaging targets to assess the TVDC against the state of the art digital colposcope and other VIA technologies. Results: Our TVDC has comparable resolving power, color reproduction accuracy, minimal lens distortion, and illumination when compared to commercially available colposcopes. In vitro and pilot in vivo imaging results are promising with our TVDC capturing images of comparable quality to commercial systems. Conclusion: The TVDC is capable of capturing images suitable for cervical lesion analysis. Our portable low cost system will be useful for increasing access to cervical cancer screening and diagnostics in resource-limited settings by providing a more readily portable and easy to use device for medical personnel.The image data and support information that is published in the article "Design of a Novel Low Cost Trans-Vaginal Digital Colposcope for use in Resource Limited Settings" are available at: http://dukespace.lib.duke.edu/dspace/handle/10161/8357.National Institutes of Health (US) 5R21CA162747-0

The Arab Awakening: One Year On

Streaming video requires Flash Player, RealPlayer, or Windows Media Player to view.Marwan Muasher is vice president for studies at the Carnegie Endowment. He served as foreign minister (2002–04) and deputy prime minister (2004–05) of Jordan, and his career has spanned the areas of diplomacy, development, civil society, and communications. He is also a senior fellow at Yale University.Alumni Association of the American University of Beirut. Ohio Valley ChapterOhio State University. Middle East Studies CenterOhio State University. Department of HistoryOhio State University. Department of Near Eastern Languages and CulturesOhio State University. Mershon Center for International Security StudiesEvent Web page, streaming video, event photo

You sure feel like you\u27re alone, kind of flailing away out there : Family caregiver perspectives of caring for an individual with glioblastoma multiforme

Objectives Glioblastoma multiforme (GBM) is the most common and aggressive form of brain cancer. Family caregivers of individuals with GBM must navigate a wide range of their care recipients’ physical, cognitive, and psychosocial deficits to provide effective care, which is both mentally and physically demanding. This study aimed to investigate the perspectives of family caregivers of GBM patients about the barriers and challenges they encounter when providing care to their care recipients. Methods Nineteen current and former family caregivers for individuals with GBM participated in semi-structured interviews from October 2023 through January 2024. We conducted interviews virtually and used applied thematic analysis to code transcripts to determine themes among participant responses. Results Three themes emerged from the interview analysis: (1) overwhelming caregiver burden, (2) difficulties coping with the caregiver role, and (3) gaps in caregiver support. These themes demonstrated a significant physical and mental toll on caregivers and a lack of time for engaging in coping strategies. The family caregivers described a lack of resources, minimal education, and limited time with their medical providers left them feeling ill-prepared for their role. Most family caregivers indicated their care recipients did not use rehabilitation services and the family caregivers expressed confusion about hospice and palliative care. Significance of results Family caregivers for individuals with GBM desire more straightforward and proactive information and education about their care recipients from their medical providers. There is an opportunity for more utilization of hospice, palliative, and rehabilitation services to provide necessary training to GBM patients and their caregivers

Exploring Large Language Models for Summarizing and Interpreting an Online Brain Tumor Support Forum

Objective This study explored the capabilities of large language models (LLMs) GPT-3.5, GPT-4, and Llama 3 to summarize qualitative data from an online brain tumor support forum, assessing the differences between these methods and traditional thematic analysis. Methods Eight posts and responses were collected in September 2024 from the American Brain Tumor Association Brain Tumor Support Group, using the passive/unobtrusive method. The data were analyzed using two methods: (1) traditional thematic coding with Dedoose software and (2) summarization and interpretation using LLMs. Prompts guided the LLMs in generating summaries and identifying key challenges, with results evaluated using the metrics BLEU, ROUGE-1, ROUGE-2, ROUGE-L, METEOR, and BERTScore (f1). Flesch-Kincaid grade levels and readability ease scores were also calculated and compared. Results GPT-4 demonstrated superior performance across ROUGE and METEOR metrics, outperforming GPT-3.5 and Llama 3. Semantic similarity scores were comparable across models. GPT-4\u27s capacity to process entire transcripts increased efficiency, while GPT-3.5 and Llama 3 required data segmenting. Summaries produced by LLMs aligned closely with human-generated thematic analysis, with significant reductions in time and labor. Conclusion LLMs, particularly GPT-4, show strong potential for summarizing complex, qualitative health data, offering time-efficient and consistent outputs. These tools may enhance research efficiency and support in patient-centered environments. However, challenges such as training data biases and capacity limitations in some models warrant further investigation

Acute lower gastrointestinal bleeding: predictive factors and clinical outcome for the patients who needed first-time mesenteric conventional angiography

PURPOSE:We aimed to investigate patients with lower gastrointestinal bleeding who presented to the emergency department requiring initial conventional angiography. We report risk-stratified and mesenteric conventional angiography outcomes.METHODS:We retrospectively reviewed patients with lower gastrointestinal bleeding between 2001 and 2012. We included all consecutive patients with clinical lower gastrointestinal bleeding with a requirement of further angiography and possible embolization. Patients who had prior interventions or surgery were excluded.RESULTS:A total of 88 patients (35 women, 53 men) with a median age of 71 years (range, 23–99 years) were included in the analysis. Conventional angiography was positive and endovascular treatment was intended in 35 patients. Once the source of bleeding was found angiographically, endovascular treatment had a technical success rate of 90.3% and clinical success rate of 71.4%. Overall early rebleeding rate (30 days) was 13.6%.CONCLUSION:Identifying the source of lower gastrointestinal bleeding remains to be a clinical and angiographic challenge. Although we did not observe an association between mortality and clinical success, increased early rebleeding rates were associated with higher mortality rates