Scorpion Sting Envenomation, a Neglected Tropical Disease: A Nationwide Survey Exploring Perspectives and Attitudes of Resident Doctors from India.

Scorpion sting envenomation (SSE) is a commonly encountered and a significant problem in the tropics, affecting rural and marginalized communities. However, it is not formally listed as a neglected tropical disease (NTD) by the WHO. We designed this cross-sectional study to explore medical graduates' and resident doctors' perspectives on SSE as an NTD and to assess their experiences, knowledge, and confidence in managing these patients. An online questionnaire was developed, validated, and administered to interns and resident doctors across India. Adjusted odds ratios were calculated for factors predicting high self-reported confidence scores for managing scorpion stings using multivariable logistic regression. The final questionnaire contained 26 items including participant background, perspectives about SSE being an NTD, experiences, knowledge, and skills needed to manage, and prevent stings effectively. Of 454 participants, 69% opined that SSE was an NTD, and > 60% felt that SSE was inadequately addressed within undergraduate training. Predictors of high self-reported confidence scores in management competencies were residency in a clinical branch that commonly encountered SSE (internal/emergency medicine or pediatrics, P < 0.0001), having ever managed an SSE patient alone or as a part of a team (P < 0.0001), and attending a class or teaching session on SSE during undergraduate training (P = 0.048). Our results suggest that residents across India believe that there is an urgent need to declare SSE an NTD to increase its visibility, further paving the way for innovative multilevel cross-cutting solutions for mitigation. Designing authentic learning experiences can help produce competent and empathetic physicians in managing and preventing SSE.

Wavelet-modified maximum average correlation height filter for rotation invariance that uses chirp encoding in a hybrid digital-optical correlator.

We discuss and implement a wavelet-modified maximum average correlation height (MACH) filter for 0 degrees -360 degrees in-plane rotations in a hybrid digital-optical correlator. Use of a wavelet transform improves the performance of the MACH filter by reducing the number of filters that are required to identify a target rotated at any angle between 0 degrees and 360 degrees in-plane rotations and enhances the autocorrelation peak intensity significantly. The output of a hybrid digital-optical correlator contains two autocorrelation peaks and a strong dc. Using a chirp function with the wavelet-modified MACH filter, the correlation signals are focused in three different planes. Thus placing a peak-capturing CCD camera at a particular plane, only one autocorrelation peak is recorded, discarding the strong dc and other autocorrelation peaks. A signal-to-noise ratio has been calculated as a metric of goodness of the proposed wavelet-modified MACH filter.