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PurposeThis paper aims to study entrepreneurial ownership and technological input on product innovation globally and in the Indian context. The data used in this study is collected from the Global Entrepreneurship Monitor (GEM).Design/methodology/approachThe study evaluates strategic innovation and entrepreneurial ownership in global and country-level data. The study was extracted from global and country-level data by the GEM. One of the methods used is ordinal regression analysis to examine the importance of entrepreneurial ownership and technology usage on product innovation. Another technique used is the fuzzy-based simulation to simulate the scenario of entrepreneurial ownership and usage of technology in business processes impacting product innovation.FindingsResults from statistical analysis indicate that entrepreneurial ownership is high in India compared to the globe. The usage of technology and its excellence is still lower than the global level and in other countries. In India, product innovation is achieved because of strong entrepreneurial ownership but, globally product innovation is achieved because of the higher level of technological excellence and technology usage in innovation activities. The fuzzy-based simulation shows that product innovation is at peak only when both technological input and entrepreneurial ownership are high.Originality/valueThis paper's original contribution is that the fuzzy-based simulations are applied to GEM data to study the relationships of entrepreneurial ownership and technological input on product innovation through simulation. The study has shed light on how entrepreneurial ownership and usage of technology are influential in product innovation.

Introduction: Chloroform, a halogenated hydrocarbon, causes central nervous depression, hepatotoxicity, nephrotoxicity, and rhabdomyolysis. Historically, chloroform had been used as a general anaesthetic and today is still used in chemical industries. Lack of proper personal protective equipment and adequate knowledge about its toxic effects can lead to serious harm. Case report: A 33-year-old gentleman presented to the emergency department (ED) with altered mental status. Given his depressed mental status, the decision was made to intubate shortly after arrival for airway protection. Further history raised suspicion of occupational chloroform exposure. Brown-colored urine further strengthened suspicion of chloroform poisoning with resultant rhabdomyolysis. Forced alkaline diuresis and N-acetylcysteine were started in the ED. His mental status and respiratory efforts improved on hospital day two, and he was ultimately extubated. Creatine phosphokinase and myoglobin levels were initially high but gradually came down by hospital day six. On hospital day 10, the patient was deemed stable and safely discharged. Conclusion: A patient with chloroform inhalation who suffered resultant rhabdomyolysis and hepatotoxicity was successfully treated with early initiation of forced alkaline diuresis, N-acetylysteine, and hemodialysis.

Background Equitable access to healthcare for rural, tribal, and underprivileged people has been an emerging area of interest for researchers, academicians, and policymakers worldwide. Improving equitable access to healthcare requires innovative interventions. This calls for clarifying which operational model of a service innovation needs to be strengthened to achieve transformative change and bring sustainability to public health interventions. The current study aimed to identify the components of an operational model of mobile medical units (MMUs) as an innovative intervention to provide equitable access to healthcare. Methods The study empirically examined the impact of scalability, affordability, replicability (SAR), and immunization performance on the sustainability of MMUs to develop a framework for primary healthcare in the future. Data were collected via a survey answered by 207 healthcare professionals from six states in India. Partial least squares structural equation modeling (PLS-SEM) was conducted to empirically determine the interrelationships among various constructs. Results The standardized path coefficients revealed that three factors (SAR) significantly influenced immunization performance as independent variables. Comparing the three hypothesized relationships demonstrates that replicability has the most substantial impact, followed by scalability and affordability. Immunization performance was found to have a significant direct effect on sustainability. For evaluating sustainability, MMUs constitute an essential component and an enabler of a sustainable healthcare system and universal health coverage. Conclusion This study equips policymakers and public health professionals with the critical components of the MMU operational model leading toward sustainability. The research framework provides reliable grounds for examining the impact of scalability, affordability, and replicability on immunization coverage as the primary public healthcare outcome.

Episure™ AutoDetect™ syringe (EAS), a spring-loaded syringe, is a new loss-of-resistance syringe used to identify epidural space. It has an advantage of subjective and objective confirmation in identifying epidural space over glass syringe (GS) for beginners. We compared the performance of EAS with that of GS for identifying epidural space in lower thoracic epidurals. A total of 120 American Society of Anesthesiolgists I-II patients aged 18-60 years requiring lower thoracic epidural analgesia for surgery were randomised into Group I (EAS): Epidural identified using EAS and Group II (GS) epidural identified with GS. Patient demographic data, depth to epidural space (cm), number of attempts, time to locate epidural space (s), inadvertent dural puncture and failed epidural analgesia were the parameters noted. There were no differences in patient demographics or depth to the epidural space between the two groups. There were five failed blocks in the GS group and none in the EAS group (P = 0.0287). Similarly, there were five inadvertent dural punctures in the GS group and none in the EAS group (P = 0.0287). When epidural was identified in fewer attempts, the time needed to identify epidural space was quicker with EAS (P = 0.0012). Using EAS allowed reliable and quick identification of the epidural space in lower thoracic epidural technique as compared to use of glass syringe. There was no incidence of inadvertent dural puncture or failed blocks with the EAS.

During the coronavirus disease 2019 (COVID-19) pandemic, numerous factors determined the performance of COVID-19 vaccination coverage. The purpose of this study is to examine the influence of factors such as government stewardship, planning and implementation, and community participation on COVID-19 vaccination coverage. This study applied partial least square structured equation modeling (PLS-SEM) by analyzing 187 responses from the stakeholders involved in vaccination programs in four select states of India. This study empirically validates a framework for improving vaccination coverage by confirming the significant impact of planning and implementation on vaccination coverage followed by government stewardship and community participation. Additionally, this study highlights the individual impact of each factor on vaccination coverage. Based on the findings, strategic recommendations were proposed that can be utilized for formulating policy-level actions to facilitate the vaccination program.

A Human-in-the-Loop (HITL) approach leverages generative AI to enhance personalized learning by directly integrating student feedback into AI-generated solutions. Students critique and modify AI responses using predefined feedback tags, fostering deeper engagement and understanding. This empowers students to actively shape their learning, with AI serving as an adaptive partner. The system uses a tagging technique and prompt engineering to personalize content, informing a Retrieval-Augmented Generation (RAG) system to retrieve relevant educational material and adjust explanations in real time. This builds on existing research in adaptive learning, demonstrating how student-driven feedback loops can modify AI-generated responses for improved student retention and engagement, particularly in STEM education. Preliminary findings from a study with STEM students indicate improved learning outcomes and confidence compared to traditional AI tools. This work highlights AI's potential to create dynamic, feedback-driven, and personalized learning environments through iterative refinement.

Pilot whale is a carnivorous marine mammal described under the order Ceta-cea, suborder Odontoceti (toothed whales). Though commonly called as 'black fish' or 'pothead whales', these mammals are named as 'pilot whales' because it was believed that pods were piloted by a leader super(1,2). They are gregarious and frequently found with other small cetaceans. Pilot whales are one of the largest members of the family Delphinidae. Two extant species of pilot whales reported in the world oceans are long-finned Globicephala melas (Traill, 1809) and short-finned Globicephala macrorhynchus Gray 1846. General appearance of short-and long-finned whales is similar. However, the fin of the long-finned whales is one-fifth or more of their body length and one-sixth for that of short-finned whales. Short-finned pilot whales have fewer teeth, i.e. 7-9 short, sharply pointed teeth in the front of each tooth row, whereas it is 8--13 for long-finned whales super(3). According to IUCN Red List, both the species are insufficiently known. Pilot whales are found in waters nearly worldwide with long-finned pilot whales living in temperate waters, and short-finned pilot whales living in the tropical and subtropical waters generally in deep offshore areas of Indian, Atlantic and Pacific Oceans. Both the species live in groups of 20-60 individuals or more. The population of G. macrorhynchus has been estimated as 150,000 in the eastern tropical Pacific Ocean and about 30,000 in the western Pacific, off the coast of Japan super(2). Normally they prefer the waters of the shelf break and slope super(2). Although they primarily feed on squid super(4), pilot whales consume fishes, including Atlantic cod, Greenland turbot, Atlantic mackerel, Atlantic herring, hake, blue whiting and spiny dogfish super(2,5). These whales are habituated to migrate seasonally inshore and offshore in response to the dispersal of their prey super(2) infested with whale lice, cestodes, nema-todes and also host various pathogenic bacteria and viruses such as Streptococcus, Pseudomonas, Escherichia, Staphy-lococcus and influenza super(1); the most common illness reported was upper respiratory tract infection super(6).