Exocentric to Egocentric Transfer for Action Recognition

Egocentric vision captures the scene from the point of the view of the camera wearer while exocentric vision captures the overall scene context. Jointly modelling ego and exo views is a crucial step towards developing next-generation AI agents. The community has regained interest in the field of egocentric vision. While, third-person view and first-person has been thoroughly investigated, very few works aim to study the both synchronously. Exocentric videos contain many relevant signals transferrable to egocentric videos. We propose a multimodal-LLM model that leverages large-scale exocentric information for the task of egocentric action recognition. This thesis also provides a broad overview of works combining both the egocentric and exocentric vision

An observational study on causes of female infertility

Background: Infertility is characterized by the inability to conceive after 12 months or more of consistent, unprotected sexual activity. It can be caused by a variety of abnormalities of the female reproductive system. The aim is to study the causes of female infertility. The main objective is to identify the common causes and risk factors causing infertility in females. Methods: The study population consisted of 383 infertile women. The study was conducted at Laxmi Narasimha hospital, Hanamkonda, in Warangal region for a period of 6 months. The tool used for the study was specifically designed questionnaire, which included the demographic data, and questions concerning the causes of infertility. Results: Through our study it is observed that polycystic ovarian disease (PCOD), hypothyroidism, ovarian cyst, tubal damage, uterine abnormality, uterine fibroids, endometriosis are the causes of female infertility. The highest prevalence of infertility was found in patients with PCOD (30.5%), followed by patients with PCOD with other conditions (24%) (mostly PCOD with hypothyroidism). Highest prevalence of infertility in females was observed in the age group between 21-30 years. It is noticed that some patients were with infertility for unknown cause (16%). Conclusions: In our study, we concluded that the PCOD is the major cause in both primary and secondary infertility in females. Higher prevalence of infertility was seen in age group of 21-30 years. Certain patients were having unexplained infertility. Infertility is now a widespread problem, and understanding the causes is the first step toward resolving it

Powder microscopic, physicochemical and chromatographic approach for the quality control of anti-hypertensive drug Rattha Piththathirku Kudinir Chooranam

The present work aims to study powder microscopy, physicochemical and high-performance thin-layer chromatography photo documentation and fingerprint profiles of a Siddha drug, Rattha Piththathirku Kudinir Chooranam (RPK). The raw drugs were collected, authenticated and the RPK was prepared. Then the drug was investigated for powder microscopic characters, physicochemical parameters, Thin Layer Chromatographic photo documentation (TLC), High-Performance Thin-Layer Chromatographic (HPTLC) fingerprint profiles of successive n-hexane, successive chloroform, successive ethanol and hydro alcohol (1:1) extracts. The successive and hydro alcohol extracts of the drug displayed distinct TLC spots and HPTLC peaks which are distinct to this drug

397 Health Insurance Status in Subjects at High Risk for Obstructive Sleep Apnea

Abstract Introduction Undiagnosed obstructive sleep apnea (OSA) is a major public health problem. Undiagnosed OSA can result in decreased productivity due to absenteeism, increased risk of comorbidities (cardiovascular disease, diabetes, and depression), and increased motor vehicle as well as workplace accidents. Lack of health insurance coverage can lead to undiagnosed and therefore untreated OSA. The objective of this study is to evaluate health insurance status in subjects at high-risk for OSA. Methods This is a cross-sectional, population-based study of adults 18 years and older who participated in the 2017–2018 National Health and Nutrition Examination Survey (NHANES). A modified STOP-Bang score was used to calculate OSA risk. This score included all the variables from the standard STOP-Bang questionnaire, except neck circumference, since it was not reported in the NHANES survey. Subjects were divided into two groups: those at low-risk for OSA with a modified STOP-Bang score of ≤ 3 and those at high-risk for OSA with a modified STOP-Bang score of &amp;gt;4. Results A total of 4,847 adult subjects were included, which represented 223,385,241 of the U.S. non-institutionalized population. Using the modified STOP-Bang score cutoff of &amp;gt;4, 20.9% of the sample were classified as high-risk for OSA, while 79.1% were classified as low-risk for OSA. 90% of the high-risk OSA group and 85.1% of the low-risk OSA group reported having health insurance. Sociodemographic data will also be analyzed and included. Conclusion Approximately 10% of subjects who are at high-risk for OSA reported not having health insurance. This represents over 4.6 million Americans in the non-institutionalized population. Health insurance can improve access to health care. Timely diagnosis and treatment of OSA not only can reduce morbidity and mortality, but can also reduce health care costs. Support (if any) CDC for NHANES Data. </jats:sec