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Background: Disaster preparedness is one of the critical strategies for effectively managing disasters and has been an area of high focus in the healthcare sector over the past few decades. The current Indian medical undergraduate curriculum does not describe any novel methods for disaster preparedness training. There is a need for a better understanding of novel teaching-learning methods and modes for administering disaster preparedness training among Indian medical students. Objectives: Describe the undergraduate medical students' baseline knowledge and confidence level of disaster preparedness. Compare undergraduate medical students' knowledge scores and confidence levels on disaster preparedness after online and onsite delivery of the disaster preparedness module. Methods: In this educational interventional study, 103 medical students were divided into two groups and subjected to an online or onsite session of the validated disaster preparedness module (based on the COVID-19 pandemic), encompassing a simulation-based tabletop exercise. Baseline testing was done for 52 participants in the online group and 51 in the onsite group of the study. Post-intervention, they were assessed with single-response type MCQs for knowledge and Likert scale-based questions for confidence scores. The pretest and posttest scores were collected, and the data were analysed using two-tailed t-tests for paired analysis of within-group (online group or onsite group) and heteroscedastic analysis of between-group datasets. Results: One hundred and three participants completed the exercise—52 participants were from the online group, and 51 were from the onsite group. After the intervention, there was a statistically significant increase in knowledge and confidence in both online and onsite groups. There is, however, no significant difference in the 'percentage change' in 'knowledge' or 'confidence' between the groups. Conclusions: Our study indicates that the disaster preparedness module, delivered online and onsite, improves knowledge and confidence among undergraduate medical students. However, there is no superiority between one mode of delivery and the other. We conclude that online training can facilitate disaster preparedness training as a corollary to the prescribed traditional training methods for undergraduate medical students in India. [ABSTRACT FROM AUTHOR]

The treatment of brain tumors is significantly hindered by the Blood-Brain Barrier (BBB), a selective barrier that restricts the passage of therapeutic agents to the brain. Recent advancements in BBB-targeting therapies offer promising strategies to overcome this challenge, providing new avenues for the effective treatment of brain cancer. This article reviews innovative approaches, including Convection-Enhanced Delivery (CED) and RNA-based therapeutics, which enhance drug delivery directly to tumor sites, bypassing the BBB and reducing systemic toxicity. Additionally, the use of theranostic nanoparticles and CRISPR-Cas9 gene editing presents novel opportunities for real-time monitoring and precision-targeted therapy, respectively. Techniques such as magnetic nanoparticles, intranasal drug administration, and focused ultrasound with microbubbles are also being refined to improve drug penetration across the BBB. Furthermore, peptide-based delivery systems and small molecules designed to mimic endogenous transport pathways are accelerating the discovery of more effective therapies. The exploration of combination therapies that synergize BBB-penetrant drugs with conventional chemotherapeutic agents or immunotherapies holds the potential to enhance treatment efficacy and patient outcomes. Continued research and interdisciplinary collaboration are essential to develop predictive models, personalized treatment strategies, and alternative delivery methods that ensure the long-term safety and effectiveness of these novel therapies. Advancements in BBB-targeting therapeutics are poised to transform the landscape of brain cancer treatment, offering renewed hope for improved survival rates and quality of life for patients. [ABSTRACT FROM AUTHOR]

This paper investigates the problem of robust finite time extended passive reliable filtering for Takagi-Sugeno (T-S) fuzzy systems with randomly occurring uncertainties, missing measurements, and time-varying delays. Moreover, two stochastic variables satisfying the Bernoulli random distribution are introduced to characterize the phenomenon of the randomly occurring uncertainties and missing measurements. By skillfully choosing a proper Lyapunov-Krasovskii functional (LKF), a new set of sufficient conditions in terms of linear matrix inequalities (LMI) is derived to ensure that the filtering error system is robustly stochastically finite time bounded (SFTB) with a desired extended passive performance index. Based on the obtained sufficient conditions, an explicit expression for the desired filter can be computed. Finally, two numerical examples are provided to show the effectiveness of the proposed filter design technique. [ABSTRACT FROM AUTHOR]

Background and Purpose: The purpose of this study was to assess factors causing delay in treatment of acute stroke in a tertiary care institute in South India. Methods: All clinically suspected cases of acute stroke presenting to the emergency department over a period of 1 year were prospectively followed up and data collected as per a preset pro forma. The various time intervals from stroke onset to definitive management and other pertinent data were collected. The time delays have been evaluated in the decision tree model: Chi-squared Automatic Interaction Detection. Significance was assessed at 5% level of significance (P < 0.05). Results: The mean prehospital time delay for all clinically suspected stroke (n = 361) in our institute was 716 min and the median time 190 min. The mean total in-hospital delay was 94.17 ± 54.5 min and median time being 82 min. The onset of symptoms to first medical contact was the main interval that influenced the prehospital delay. Computed tomographic (CT) diagnosis to stroke unit admission influenced the in-hospital delay the most. Conclusions: Lack of awareness regarding stroke leads to delayed seeking of treatment for the same. The factors that contribute to the in-hospital delay included patient admission procedure delay, lack of staff to transport the patient, and the distance between the stroke unit and CT room. Educating the community with regard to "stroke" and implementation of a better pre- and in-hospital stroke care system is a need of the hour in the country. [ABSTRACT FROM AUTHOR]

Context: The guideline recommended dose of intravenous (i.v) recombinant tissue-type plasminogen activator (rt-PA) for acute ischemic stroke is 0.9 mg/kg in the European and American populations. In Asiatic population, some studies have shown that a lower dose of i.v rt-PA is equally efficacious. Aims: To assess if there is a need for a dose optimization for i.v rt-PA study among Indians. Setting and Design: A prospective, observational database of acute stroke cases that presented to a tertiary care institute over a period of 1 year was made. Methods: The data procured using a prestructured elaborate pro forma. Based on the dose of rt-PA received, the individuals were divided into three groups; Group 1 (0.6–0.7 mg/kg), Group 2 (0.7–0.8 mg/kg), and Group 3 (0.8–0.9 mg/kg). Improvement was assessed in each group and between the thrombolysed and nonthrombolysed individuals. Statistical Analysis Used: The nonparametric Mann–Whitney U-test (Wilcoxon rank-sum test) was applied for assessing improvement of National Institutes of Health Stroke Scale score with significance level of α < 0.05 (P < 0.012) and compliance level at 95%. Results: Between the thrombolysed (n = 46) and nonthrombolysed (n = 113) group, there was a statistically significant neurological improvement in the thrombolysed group. Clinical improvement was noted in 75%, 85.7%, and 66.7% of individuals receiving rt-PA in Groups 1, 2, and 3, respectively. Four out of the five who developed a clinically significant intracranial hemorrhage were thrombolysed at a dose of 0.8–0.9 mg/kg rt-PA (Group 3). Conclusion: There is a need for a properly randomized, dose optimization study of i.v rt-PA in the Indian subcontinent. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Cardiovascular disease is the leading cause of death worldwide. As there is an increase in the global burden of ischemic heart disease, there are multiple scoring systems established in the emergency department (ED) to risk stratify and manage acute coronary syndrome (ACS) in patients with chest pain. The objective of this study was to integrate point-of-care echo into the existing history, electrocardiogram, age, risk factors, and troponin (HEART) score and evaluate a novel scoring system, the echo HEART (E-HEART) score in risk stratification of patients presenting with undifferentiated chest pain to the ED. The E-HEART Score was also compared with existing traditional scoring systems for risk-stratifying acute chest pain. METHODS: A diagnostic accuracy study involving 250 patients with chest pain at the ED of a single tertiary care teaching hospital in India was conducted. The emergency physicians assessed the E-HEART score after integrating their point-of-care echo/focused echo findings into the conventional HEART score on presentation. The primary endpoint was the occurrence of major adverse cardiovascular events (MACE) within 4 weeks of initial presentation. The accuracy of the E-HEART score was compared with other conventional risk stratification scoring systems such as the thrombolysis in myocardial infarction (TIMI), history, electrocardiogram, age, and risk factors, Troponin Only Manchester ACS (T-MACS), and HEART scores. RESULTS: A total of 250 patients with a median age of 53 years (42.25-63.00) were part of the study. Low E-HEART scores (values 0-3) were calculated in 121 patients with no occurrence of MACE in this category. Eighty-one patients with moderate E-HEART scores (4-6) were found to have 30.9% MACE. In 48 patients with high E-HEART scores (values 7-11), MACE occurred in 97.9%. The area under receiver operating characteristics (AUROC) of E-HEART score is 0.992 (95% confidence interval: 0.98-0.99), which is significantly higher than AUROC values for HEART (0.978), TIMI (0.889), T-MACS (0.959), and HEAR (0.861), respectively (P < 0.0001). At a cutoff of E-HEART score >6, it accurately predicted ACS with a sensitivity of 92% and a specificity of 99% with a diagnostic accuracy of 97%. CONCLUSION: The E-HEART score gives the clinician a quick and accurate forecast of outcomes in undifferentiated chest pain presenting to the ED. Low E-HEART scores (0-3) have an extremely low probability for short-term MACE and may aid in faster disposition from the ED. The elevated risk of MACE in patients with high E-HEART scores (7-11) may facilitate more aggressive workup measures and avoid disposition errors. E-HEART is an easily adaptable scoring system with improved accuracy compared to conventional scoring systems. [ABSTRACT FROM AUTHOR]

Endocrine disrupting chemicals or carcinogens have been known for decades for their endocrine signal disruption. Endocrine disrupting chemicals are a serious concern and they have been included in the top priority toxicants and persistent organic pollutants. Therefore, researchers have been working for a long time to understand their mechanisms of interaction in different human organs. Several reports are available about the carcinogen potential of these chemicals. The presented review is an endeavor to understand the hazard identification associated with endocrine disrupting carcinogens in relation to the human body. The paper discusses the major endocrine disrupting carcinogens and their potency for carcinogenesis. It discusses human exposure, route of entry, carcinogenicity and mechanisms. In addition, the paper discusses the research gaps and bottlenecks associated with the research. Moreover, it discusses the limitations associated with the analytical techniques for detection of endocrine disrupting carcinogens. [Display omitted] • Types of endocrine disrupting chemicals (EDCs) related to cancer were analyzed. • EDCs associated cancers and their mechanisms were discussed. • Human exposure to EDCs was explored. • Assessment of EDCs carcinogenicity was performed. • Research gaps and future studies were suggested. [ABSTRACT FROM AUTHOR]

Microplastics (MPs) are emerging toxicants which have been detected in varying environments. Despite MPs adverse effects, reports on MPs detection from human clinical samples are only a few. This is due to several reasons such as inefficiency of current MPs detection techniques to detect them from human clinical samples, lack of understanding about the MPs toxicity to human organs and ethical regulations that restricts study with human placental exposure to MPs. This review gives a comprehensive outlook on the major sources MPs sources and routes into human system and their human toxicity mechanisms. Further an in-depth discussion on the significance and limitations of various MPs detection methods is elaborated in the review. Challenges in current research framework for detection of MPs from human clinical samples and the possible future directions in this imperative research domain are also focused in this review. [Display omitted] • Types, sources, and exposure route of microplastics in clinical samples were discussed. • Advanced methods for microplastics detection, identification, and analysis were examined. • Presence and abundance of microplastics in placenta, amniotic fluid, meconium, saliva, sputum, urine, etc. was assessed. • Persistence and toxicity of the microplastics to placenta, lungs, liver, intestine, liver, colon, and endometrium. • Major challenges and bottlenecks in the microplastics in clinical samples were critically analysed. [ABSTRACT FROM AUTHOR]

• Agriculture is crucial for human development and depends heavily on irrigation. This paper presents an autonomous irrigation system using AI and 6G-IoT. • The system uses a prediction algorithm based on weather history data to anticipate rainfall patterns and climate changes. • It creates an intelligent system that irrigates the fields according to environmental conditions. • The developed system achieved an accuracy of 86.34%, sensitivity of 89.28%, and precision of 91%. Agriculture plays a vital role in the growth of humankind. The total world depends upon the agricultural contribution, and wherein the agriculture purely depends upon the necessity of irrigation. This paper develops an autonomous irrigation system using Artificial Intelligence (AI) and the 6G enabled Internet of Things (6G-IoT) transforming to create a hassle-free smart agriculture model. The developed autonomous irrigation system is purely based on prediction algorithm which is mount in a microprocessor, which uses weather history data using IoT to identify and predict rainfall patterns and any climatic changes; hence it creates an intelligent system which irrigates the field depending upon the outer environment. The developed system not only checks the environmental condition, but it also measures the moisture content of the soil to supply the required amount of water to the crops. The developed autonomous AI and 6G-IoT based smart agricultural irrigation system has been tested under control environment with an accuracy of 86.34%, sensitivity of 89.28% and precision of 91%. Hence, the proposed methodology could be the possible solution for autonomous irrigation of crops in future. [ABSTRACT FROM AUTHOR]

The government of India has done remarkable work on commissioning a government funded prehospital emergency ambulance service in India. This has both public health implications and an economic impact on the nation. With the establishment of these services, there is an acute need for standardization of education and quality assurance regarding prehospital care provided. The International Joint Working Group has been actively involved in designing guidelines and establishing a comprehensive framework for ensuring high-quality education and clinical standards of care for prehospital services in India. This paper provides an independent expert opinion and a proposed framework for general operations and administration of a standardized, national prehospital emergency medical systems program. Program implementation, operational details, and regulations will require close collaboration between key stakeholders, including local, regional, and national governmental agencies of India. [ABSTRACT FROM AUTHOR]

There have been multiple incidents where doctors have been assaulted by patient relatives and hospital facilities have been vandalized. This has led to mass agitations by Physicians across India. Violence and vandalism against health-care workers (HCWs) is one of the biggest public health and patient care challenge in India. The sheer intensity of emotional hijack and the stress levels in both practicing HCWs and patient relative's needs immediate and detail attention. The suffering of HCWs who are hurt, the damage to hospital facilities and the reactionary agitation which affects patients who need care are all together doing everything to damage the delivery of health care and relationship between a doctor and a patient. This is detrimental to India where illnesses and Injuries continue to be the biggest challenge to its growth curve. The expert group set by The Academic College of Emergency Experts and The Academy of Family Physicians of India makes an effort to study this Public Health and Patient Care Challenge and provide recommendations to solve it. [ABSTRACT FROM AUTHOR]