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idney Disease Impact of Clinical Pharmacist's Interventions. Indian J Crit Care Med 2021;25(11)1226-1231.

Aghili M, Kasturirangan MN. Management of Drug-Drug Interactions among Critically Ill Patients with Chronic Kidney Disease Impact of Clinical Pharmacist's Interventions. Indian J Crit Care Med 2021;25(11)1226-1231.

Emergency department (ED) length of stay (LOS) is defined as the time a patient is registered to the time the patient is shifted to a hospital bed or discharged. Increasing demand for quality emergency care has resulted in increased wait times due to demand and supply mismatch. It is perceived that longer LOS in the ED of critical patients leads to poor outcomes. Our goal was to study the impact of LOS in the ED on the patients who required critical care admissions.

This was a retrospective study conducted in the ED of a tertiary center. Data were collected using electronic health records (EHR) for patients admitted to the intensive care units (ICUs). Patient's LOS in ED was divided into 0-4, 4-8, 8-12, 12-24, and >24 hours. ED LOS was calculated from the registration time to the time patient was handed over in the ICU. Patients were divided into four categories (1-4) based on their criticality. LOS in ED, mortality, and total hospital LOS were analyzed in the study.

Three thousand four hundred and tCritically Ill Patients in the Emergency Department Associated with Higher In-hospital Mortality. Indian J Crit Care Med 2021;25(11)1221-1225.

Verma A, Shishodia S, Jaiswal S, Sheikh WR, Haldar M, Vishen A, et al. Increased Length of Stay of Critically Ill Patients in the Emergency Department Associated with Higher In-hospital Mortality. Indian J Crit Care Med 2021;25(11)1221-1225.Jerath N. Viral Bronchiolitis in Children Less is More. Indian J Crit Care Med 2021;25(11)1219-1220.Raju GM. iPad with iPad-based Apps An Optimal Communications Tool in the Intensive Care Unit? Indian J Crit Care Med 2021;25(11)1217-1218.Krishna B. Unraveling the Worth of a Clinical Pharmacist. Indian J Crit Care Med 2021;25(11)1215-1216.Samavedam S. How Long can You Stay in Emergency Department (ED)? Indian J Crit Care Med 2021;25(11)1213-1214.Covid-19 pandemic had affected transfusion services including recruitment of donors and blood donation camps activities. The blood donors may have concerns, confusion, and misleading rumours about blood donation during pandemic. People's priorities for blood donation may shift because of a dearth of necessities. It is important to identify factors which prevent or motivate blood donors during pandemic. This study was designed to understand blood donors' knowledge, attitudes, and perceptions during the Covid-19 pandemic. A descriptive cross-sectional study to assess donor's knowledge, attitude, and perception regarding blood donation using self-administered 20 questions. The study duration was 4 months. A total 503 whole blood donors participated. The fear of infection and reduced blood donor motivation were observed to be the major deterrents of blood donation activity. Environment of blood donation area and travel to blood donation site were perceived two major sources of Covid-19 infection by participants. e online version contains supplementary material available at 10.1007/s12288-021-01504-y.

The online version contains supplementary material available at 10.1007/s12288-021-01504-y.Novel coronavirus named SARS-CoV-2 is one of the global threads and uncertain challenges worldwide faced at present. It has stroke rapidly around the globe due to viral transmissibility, new variants (strains), and human unconsciousness. Lack of adequate and reliable vaccination and proper treatment, control measures such as self-protection, physical distancing, lockdown, quarantine, and isolation policy plays an essential role in controlling and reducing the pandemic. Decisions on enforcing various control measures should be determined based on a theoretical framework and real-data evidence. check details We deliberate a general mathematical control measures epidemic model consisting of lockdown, self-protection, physical distancing, quarantine, and isolation compartments. Then, we investigate the proposed model through Caputo fractional order derivative. Fixed point theory has been used to analyze the Caputo fractional-order derivative model's existence and uniqueness solutions, whereas the Adams-Bashforth-Moulton numerical scheme was applied for numerical simulation. Driven by extensive theoretical analysis and numerical simulation, this work further illuminates the substantial impact of various control measures.Surging amounts of waste are reported globally and especially in lower-income countries, with negative consequences for health and the environment. Increasing concern has been raised for the limited progress achieved in practice by diverse sets of policies and programmes. Waste management is a wicked problem characterised by multilayered interdependencies, complex social dynamics and webs of stakeholders. Interactions among these generate unpredictable outcomes that can be missed by decision makers through their understanding and framing of their context. This article aims to identify possible sources of persistent problems by focussing on what captures, shapes and limits the attention of stakeholders and decision-makers, drawing on the attention-based view from organisation theory. The theory describes the process through which issues and opportunities are noticed and how these are translated into actions, by focussing on the influencers at the individual, organisational and context scale. Views on issues an to policy and future research. By revealing the "wickedness" of the waste problem, we point to the need for a holistic and systems-based policy approach to limit further unintended consequences.During crises such as the present coronavirus disease-19 (COVID-19) pandemic, nonprofits play a key role in ensuring support to improve the most vulnerable individuals' health, social, and economic conditions. One year into the COVID-19 pandemic, an extensive automated literature analysis was conducted of 154 academic articles on nonprofit management during the pandemic-all of which were published in 2020. This study sought to identify and systematize academics' contributions to knowledge about the crisis's impact on the nonprofit sector and to ascertain the most urgent directions for future research. The results provide policymakers, nonprofit practitioners, and scholars an overview of the themes addressed and highlight the important assistance academic researchers provide to nonprofits dealing with the COVID-19 pandemic.

The online version contains supplementary material available at 10.1007/s11266-021-00432-9.

The online version contains supplementary material available at 10.1007/s11266-021-00432-9.Artificial intelligence plays an important role and has been used by several countries as a health strategy in an attempt to understand, control and find a cure for the disease caused by Coronavirus. These intelligent systems can assist in accelerating the process of developing antivirals for Coronavirus and in predicting new variants of this virus. For this reason, much research on COVID-19 has been developed with the aim of contributing to new discoveries about the Coronavirus. However, there are some epistemological aspects about the use of AI in this pandemic period of Covid-19 that deserve to be discussed and need reflections. In this scenario, this article presents a reflection on the two epistemological aspects faced by the COVID-19 pandemic (1) The epistemological aspect resulting from the use of patient data to fill the knowledge base of intelligent systems; (2) the epistemological problem arising from the dependence of health professionals on the results/diagnoses issued by intelligent systems. In addition, we present some epistemological challenges to be implemented in a pandemic period.

Some commercial/industrial sectors have increased their interest in sustainability, in some cases changing their business focus, from a profit-centered approach to a more balanced view, including environmental and social factors. It means that the interest in sustainability is increasing. Life cycle management (LCM) is a methodology/concept that can contribute to this paradigm shift. In this research, the potential application of LCM in the bakery segment was investigated, considering the entire value chain related to the sector (inputs, packaging, suppliers, customers, waste management).

Bakeries were visited, in Teresina, Piauí, Brazil, to learn about the products, services, production processes, and the socio-environmental and economic sustainability practices, aiming at identifying bottlenecks and to propose alternatives based on LCM. Besides the field approach, the study was structured based on the literature that brings the concepts and potentialities of applying LCM in various economic/industrial siated with the sector; analyzing factors that can influence the actions towards sustainability; disseminating life cycle information to the entire value chain; efficient waste management, including the partnership with recycling companies; and treatment of the collected data and improvement proposal, using management tools such as the PDCA Cycle, the SWOT Matrix, and Environmental, Social and Governance (ESG) aiming at the search for environmental and economic sustainability and social fair alternatives.

The online version contains supplementary material available at 10.1007/s11367-021-02008-7.

The online version contains supplementary material available at 10.1007/s11367-021-02008-7.Genetic variants of the COVID-19 causative virus have been arising and circulating globally. In many countries, especially in developing ones with a huge population, vaccination has become one of the major challenges. SARS-CoV-2 variants' fast transmission rate has an upsurge in the COVID cases, leading to more stress on health systems. In the current COVID-19 scenario, there is the requirement of more adequate diagnostic approaches to check the COVID-19 spread. Out of many diagnostic approaches, a magnetic nanoparticle-based reverse transcription polymerase chain reaction could be nontrivial. The use of magnetic nanoparticles is to separate nucleic acid of SARS-CoV-2 from the patient samples and apply for SARS-CoV-2 detection in an easy and more effective way. Herein, the magnetic nanoparticles are synthesized using the solgel autocombustion methods and then successfully coated with biopolymer (chitosan) using ultrasonication. Chitosan-coated nanoparticles are successfully integrated into the graphene oxide sheets to introduce carboxyl groups. Crystallite size calculation, morphological and magnetic studies of synthesized magnetic nanoparticles, and multifunctional magnetic nanoparticles are done using XRD, SEM, TEM, and VSM, respectively. Besides, the potentiality of the fabricated nanocomposites in RNA extraction protocol is also discussed with schematic representation.This paper deals with the theory of rectifiability in arbitrary Carnot groups, and in particular with the study of the notion of P -rectifiable measure. First, we show that in arbitrary Carnot groups the natural infinitesimal definition of rectifiabile measure, i.e., the definition given in terms of the existence of flat tangent measures, is equivalent to the global definition given in terms of coverings with intrinsically differentiable graphs, i.e., graphs with flat Hausdorff tangents. In general we do not have the latter equivalence if we ask the covering to be made of intrinsically Lipschitz graphs. Second, we show a geometric area formula for the centered Hausdorff measure restricted to intrinsically differentiable graphs in arbitrary Carnot groups. The latter formula extends and strengthens other area formulae obtained in the literature in the context of Carnot groups. As an application, our analysis allows us to prove the intrinsic C 1 -rectifiability of almost all the preimages of a large class of Lipschitz functions between Carnot groups.

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