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1.
2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 ; 2022-October:409-414, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2152536

RESUMO

The three times increase of SonyLiv viewers during the Tokyo Olympic, the 10% hike of YouTube users during the isolation era of covid-pandemic, and the 19% growth in Netflix user count due to the fastest growth of OTT, etc. have made the digital platform's mode all-time active and specific. The hourly increase of users' interactions and the e-commerce platform's desire of letting users engage on their sites are pushing researchers to shape the virtual digital web as user specific and revenue-oriented. This paper develops a deep learning-based approach for building a movie recommendation system with three main aspects: (a) using a knowledge graph to embed text and meta information of movies, (b) using multi-modal information of movies like audio, visual frames, text summary, meta data information to generate movie/user representations without directly using rating information;this multi-modal representation can help in coping up with cold-start problem of recommendation system (c) a graph attention network based approach for developing regression system. For meta encoding, we have built knowledge graph from the meta information of the movies directly. For movie-summary embedding, we extracted nouns, verbs, and object to build a knowledge graph with head-relation-tail relationships. A deep neural network, as well as Graph attention networks, are utilized for measuring performance in terms of RMSE score. The proposed system is tested on an extended MovieLens-100K data-set having multi-modal information. Experimental results establish that only rating-based embeddings in the current setup outperform the state-of-the-art techniques but usage of multi-modal information in embedding generation performs better than its single-modal counterparts. 1. © 2022 IEEE.

2.
Brachytherapy ; 21(6):S93-4, 2022.
Artigo em Inglês | PubMed Central | ID: covidwho-2149416

RESUMO

Purpose: The on-going pandemic has impacted the use of anesthesia and the operating room frequency thereby affecting the brachytherapy treatment in various institutions due to the COVID-19 protocols. This has led to single applications of Intracavitary brachytherapy (ICRT) being used to deliver entire treatment boost in cervix cancer. We present our dosimetric and early clinical outcomes comparing traditional weekly three-fractions ICRT with single application/ two-applications ICRT Materials and Methods: In this retrospective analysis conducted in our department, a total of 39 cases, treated between January 2021 to January 2022 were evaluated for the study. Of these, 15 cases were treated with the traditional once a week applicator insertion for 3 fractions and 24 cases underwent lesser application - 20 cases underwent 2 insertions and 4 cases single insertion (all receiving total 3 fractions of 7Gy each). The dosimetric parameters were compared including CTV D90 and D95 along with rectum, sigmoid and bladder D2cc, 1cc and 0.1cc respectively. The acute toxicity assessment was done using the RTOG scale. The follow-up was undertaken as per the institutional protocol and Mann-Whitney U-test were applied to compare the cohorts. Results: With a median follow-up of 6 months, the median CTV was D90%: 81.2 vs. 80.9 Gy and the median CTV volume was 44.3 vs 42.9 cc respectively. The 0.1 cm3 and 2 cm3 to bladder, rectum, and sigmoid were 105.6 vs 104.2 Gy and 85.5 vs 85.9Gy, 89.4Gy vs 88.7Gy and 69.1 vs 67.8Gy, and 84.7 vs 84.1Gy and 71.7 vs 69.9Gy, respectively suggesting no significant difference in the dosimetric outcomes with the two forms of applications. The less than three applications had a shorter overall treatment time with median OTT of 43 days vs. 55 days (p = 0.02). On completion of treatment and 6 months follow-up, local control was achieved in all patients. There was no significant difference in the acute toxicities in terms of cystitis and proctitis in both forms of the application. Conclusion: The single application/ twice application ICRT procedure showed similar outcomes as the traditional three-week duration treatment in terms of dosimetric outcomes and acute toxicities and ultimately leading to shortened overall treatment time. It also helped reduce the anesthesia burden and various resources associated with the procedure.

3.
Fishery Technology ; 59(4):303-310, 2022.
Artigo em Inglês | Web of Science | ID: covidwho-2124870

RESUMO

The usage of mobile-based agro-advisories and its utilization pattern was unclear, especially in the case of fisheries and aquaculture in Tripura, coming under the North-Eastern region of India, where 1.87 lakh population was primarily identified as fish farmers. Similar to other parts of the country, the COVID-19 outbreak hampered fishery and aquaculture in Tripura, and farmers were physically barred from accessing support systems and technical facilities of different organizations. In view of that, the present study was performed to identify all such mobile-based advisories related to fish farming, which were actively circulated in the state during the COVID-19 outbreak. The accessibility, perceived level of satisfaction, and utility of those mobile-based advisories were studied. It was found that out of 120 respondents, 102 actively sought/accessed some of these advisory services. The advisory on fish farming, released by the Department of Fisheries (DoF), Tripura, was accessed by more than half of the respondents (54.17 %), followed by 'Mobile Based Agro-Advisory' system (20.83 %) under the 'Matsya Varta' project of College of Fisheries, Central Agricultural University (COF-CAU), Tripura. Other advisories from KVKs were also accessed by the respondents (9.16 %) indicating a significant rate of accessibility and utility. The findings suggest the existence of adequate advisory services in the state during COVID-19 outbreak.

4.
Nature ; 2022.
Artigo em Inglês | PubMed | ID: covidwho-2133472

RESUMO

Clonal haematopoiesis involves the expansion of certain blood cell lineages and has been associated with ageing and adverse health outcomes(1-5). Here we use exome sequence data on 628,388 individuals to identify 40,208 carriers of clonal haematopoiesis of indeterminate potential (CHIP). Using genome-wide and exome-wide association analyses, we identify 24 loci (21 of which are novel) where germline genetic variation influences predisposition to CHIP, including missense variants in the lymphocytic antigen coding gene LY75, which are associated with reduced incidence of CHIP. We also identify novel rare variant associations with clonal haematopoiesis and telomere length. Analysis of 5,041 health traits from the UK Biobank (UKB) found relationships between CHIP and severe COVID-19 outcomes, cardiovascular disease, haematologic traits, malignancy, smoking, obesity, infection and all-cause mortality. Longitudinal and Mendelian randomization analyses revealed that CHIP is associated with solid cancers, including non-melanoma skin cancer and lung cancer, and that CHIP linked to DNMT3A is associated with the subsequent development of myeloid but not lymphoid leukaemias. Additionally, contrary to previous findings from the initial 50,000 UKB exomes(6), our results in the full sample do not support a role for IL-6 inhibition in reducing the risk of cardiovascular disease among CHIP carriers. Our findings demonstrate that CHIP represents a complex set of heterogeneous phenotypes with shared and unique germline genetic causes and varied clinical implications.

5.
Translational Bioinformatics in Healthcare and Medicine ; 13:171-182, 2021.
Artigo em Inglês | Scopus | ID: covidwho-2129641

RESUMO

The amount of raw data has exponentially increased due to tools and technologies for analysis of biologic organisms (including viruses). The task now, therefore, is to have computational systems that allow the average researcher to calculate information to store, retrieve, visualize, and analyze data. Fortunately, the advancement of computer technology, particularly that relating to databases, has balanced continuous improvements to data-intensive biologic technologies. This research forms the foundation of many of the bioinformatics technologies that provide an overview of the different databases available for viruses and how they provide valuable information from the stored biologic data. The different tools associated with virus analysis are also discussed, accompanied by a summary of several online databases that contain general biologic and viral data. The chapter also features a case study on evaluating genome relationship between SARS-CoV-2 strains at different geolocations. © 2021 Elsevier Inc. All rights reserved.

6.
Open Public Health Journal ; 15(1) (no pagination), 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2109508

RESUMO

The number of COVID-19-associated nephropathies (COVAN) rapidly increased before the fourth wave of the COVID-19 pandemic. Similarities and common lesions with the HIV-associated nephropathy (HIVAN) remarkably affect mostly African Americans positive for the APOL1 risk variants;therefore, these cases must be prioritized in new targeted clinical trials. Copyright © 2022, Bentham Science Publishers. All rights reserved.

7.
Open Public Health Journal ; 15(1) (no pagination), 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2109507

RESUMO

Following the 1918 influenza virus attack, which resulted in a worldwide pandemic, the world is again facing a similar situation as of March 2020, according to the World Health Organization (WHO). The discovery of a novel infectious agent from the Coronaviridae family was made possible by advancements in Medical Science and achievements in pharmaceutical research. SARS-CoV-2 is a member of the coronavirus family, a large and diverse group of viruses with a wide range of characteristics. This single-stranded RNA virus that infects humans and other animals has a single linear RNA segment and infects them in a positive-sense manner. The common cold is not the only sickness that coronaviruses may cause. They can also cause more dangerous infections like the Middle East respiratory syndrome (MERS), with a 34 percent mortality rate. Rapid sequencing by several organizations aided in identifying the virus's structure and function, determining the virus's immunogenicity in various populations, and developing effective prophylactic medicines for the virus. As of December 2020, the Centers for Disease Control and Prevention (CDC) announced that more than 150 vaccine candidates for COVID-19 were developing. Because of this, a total of 52 potential vaccination candidates are now being investigated in different phases. According to the WHO, nine vaccines have been approved and have extensive use from at least one regulatory authority, and five more are under evaluation. Copyright © 2022 Maitra et al.

8.
Indian Journal of Critical Care Medicine ; 26(11):1208-1215, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2100192

RESUMO

Introduction: The objective was to delineate the clinico-epidemiological characteristics of hospitalized children with RSV-associated acute lower respiratory tract infection (RSV-ALRI) during its recent outbreak and to find out the independent predictors of PICU admission. Methodology: Children aged between 1 month and 12 years who tested positive for respiratory syncytial virus (RSV) were included. Multivariate analysis was performed to identify the independent predictors and predictive scores were developed from the beta-coefficients. Receiver operating characteristic curve (ROC) was generated and the area under the curve (AUC) was calculated to assess the overall precision. The performance of sum scores in predicting PICU need, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive and negative likelihood ratios (LR+ and LR-) were calculated for each cutoff value. Result(s): The proportion of RSV positivity was 72.58%. A total of 127 children were included with a median [interquartile range (IQR)] age of 6 (2-12) months, of whom 61.42% were males and 33.07% had underlying comorbidity. Tachypnoea, cough, rhinorrhea, and fever were predominant clinical presentations while hypoxia and extrapulmonary manifestations were present in 30.71% and 14.96% of children, respectively. About 30% required PICU admission, and 24.41% developed complications. Premature birth, age below 1 year, presence of underlying CHD, and hypoxia were independent predictors. The AUC [95% confidence interval (CI)] was 0.869 (0.843-0.935). Sum score below 4 had 97.3% sensitivity and 97.1% NPV whereas sum score above 6 had 98.9% specificity, 89.7% PPV, 81.3% NPV, 46.2 LR+, and 0.83 LR- to predict PICU needs. Conclusion(s): Awareness of these independent predictors and application of the novel scoring system will be beneficial for busy clinicians in planning the level of care needed, thereby optimizing PICU resource utilization. Copyright © The Author(s).

9.
Environmental Research ; 216, 2023.
Artigo em Inglês | Scopus | ID: covidwho-2095320

RESUMO

COVID-19 pandemic has led to the generation of massive plastic wastes, comprising of onetime useable gloves, masks, tissues, and other personal protective equipment (PPE). Recommendations for the employ of single-use disposable masks made up of various polymeric materials like polyethylene, polyurethane, polyacrylonitrile, and polypropylene, polystyrene, can have significant aftermath on environmental, human as well as animal health. Improper disposal and handling of healthcare wastes and lack of proper management practices are creating serious health hazards and an extra challenge for the local authorities designated for management of solid waste. Most of the COVID-19 medical wastes generated are now being treated by incineration which generates microplastic particles (MPs), dioxin, furans, and various toxic metals, such as cadmium and lead. Moreover, natural degradation and mechanical abrasion of these wastes can lead to the generation of MPs which cause a serious health risk to living beings. It is a major threat to aquatic lives and gets into foods subsequently jeopardizing global food safety. Moreover, the presence of plastic is also considered a threat owing to the increased carbon emission and poses a profound danger to the global food chain. Degradation of MPs by axenic and mixed culture microorganisms, such as bacteria, fungi, microalgae etc. can be considered an eco-sustainable technique for the mitigation of the microplastic menace. This review primarily deals with the increase in microplastic pollution due to increased use of PPE along with different disinfection methods using chemicals, steam, microwave, autoclave, and incineration which are presently being employed for the treatment of COVID-19 pandemic-related wastes. The biological treatment of the MPs by diverse groups of fungi and bacteria can be an alternative option for the mitigation of microplastic wastes generated from COVID-19 healthcare waste. © 2022

11.
Investigative Ophthalmology & Visual Science ; 63(7), 2022.
Artigo em Inglês | Web of Science | ID: covidwho-2067985
12.
Tropical Journal of Natural Product Research ; 6(8):1233-1240, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-2033551

RESUMO

The coronavirus disease 2019 (COVID-19) is caused by the recently discovered coronavirus and affects several countries worldwide. Some medications may alleviate or minimize some of the disease symptoms, but no drug have been proven to prevent or cure it. However, this study was aimed at investigating the role of some medicinal plants as potent inhibitors of COVID-19 main protease (MPro). More than 250 plant extracts with antiviral activity were exploited for their potential SARS-CoV2 medication using molecular docking. The conformational stability of the compounds extracted from the plants with MPro interactions was evaluated using molecular dynamics simulations. Then, the plant extracts with the highest binding energies were used for treatments by administering them to 50 COVID-19 patients, while the other 50 cases received only the drug without the plant extracts. The results of the theoretical analysis revealed high binding energies for seven compounds. Alliin stabilized COVID-19’s MPro while retaining critical connections and remained stable throughout the simulations. Marrubin and thymoquinone are also capable of protein stabilization over the simulated time. The test plants were observed to be effective against the virus in the COVID-19 patients, with a disease symptom improvement response rate of 78-86 and 60-72% for the first and second groups, respectively. Also, the percentage of oxygen increased from the second day after taking the extracts. Ground-glass opacity disappeared from the second group that received the plant extracts. The findings of this study suggest that these compounds have a great potential for therapeutic activity if isolated and administered alone.

13.
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022 ; 2022.
Artigo em Inglês | Scopus | ID: covidwho-2029216

RESUMO

The fourth industrial revolution mostly revolves around new techniques and concepts such as artificial intelligence (AI), machine learning (ML), internet of things (IoT), etc. The recent spurt of corona virus has wreaked havoc across the globe and led to huge loss of human lives. An intelligent system with innovative technologies can be implemented to address the rapid spread of the deadly virus. In this paper, we present our patented [1] idea of Smart Face Shield (SMAFS) that can not only help to maintain appropriate social distancing in a crowded place but also to identify a person with preliminary symptoms of corona virus.SMAFS is designed as a technically improved face shield to maintain social distancing by appropriate use of proximity sensor and to measure temperature of the wearer by using contact temperature sensor. LED's and buzzer are placed strategically to alert people via visual and audio signals respectively. Such precautionary detection and proximity alert prototype can prove instrumental in early diagnosis and isolation aiding in crowd management and free movement in places of social gathering. © 2022 IEEE.

14.
Diabetes & Metabolic Syndrome-Clinical Research & Reviews ; 16(5), 2022.
Artigo em Inglês | Web of Science | ID: covidwho-2003137
15.
Basic Res Cardiol ; 117(1): 39, 2022 08 15.
Artigo em Inglês | MEDLINE | ID: covidwho-1990623

RESUMO

The Hatter Cardiovascular Institute biennial workshop, originally scheduled for April 2020 but postponed for 2 years due to the Covid pandemic, was organised to debate and discuss the future of Remote Ischaemic Conditioning (RIC). This evolved from the large multicentre CONDI-2-ERIC-PPCI outcome study which demonstrated no additional benefit when using RIC in the setting of ST-elevation myocardial infarction (STEMI). The workshop discussed how conditioning has led to a significant and fundamental understanding of the mechanisms preventing cell death following ischaemia and reperfusion, and the key target cyto-protective pathways recruited by protective interventions, such as RIC. However, the obvious need to translate this protection to the clinical setting has not materialised largely due to the disconnect between preclinical and clinical studies. Discussion points included how to adapt preclinical animal studies to mirror the patient presenting with an acute myocardial infarction, as well as how to refine patient selection in clinical studies to account for co-morbidities and ongoing therapy. These latter scenarios can modify cytoprotective signalling and need to be taken into account to allow for a more robust outcome when powered appropriately. The workshop also discussed the potential for RIC in other disease settings including ischaemic stroke, cardio-oncology and COVID-19. The workshop, therefore, put forward specific classifications which could help identify so-called responders vs. non-responders in both the preclinical and clinical settings.


Assuntos
Isquemia Encefálica , COVID-19 , Precondicionamento Isquêmico Miocárdico , Acidente Vascular Cerebral , Animais , Educação , Isquemia , Resultado do Tratamento
16.
Journal of Forensic Medicine and Toxicology ; 39(1):129-132, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-1988394

RESUMO

Tuberculosis (TB) is a communicable bacterial infection caused by Mycobacterium tuberculosis. It is the second leading fatal infectious disease after COVID-19. Tuberculosis also stands at 13th position, with respect to the leading cause of death. In 2020, around 86% of new tuberculosis cases were reported in 30 countries, of which two-thirds of cases were recorded in eight countries alone, with India leading the chart. Tuberculosis in a mentally ill patient is a common entity because of its common comorbidities, but prolonged antipsychotic drug therapy is rare. Here we discuss a case of a 36 years old female who was brought dead to casualty. She was apparently alright 10 days back and then developed symptoms like fever, breathlessness, and cough. She had severe anorexia and cachexia for the past few months. She has been under antipsychotic medication for schizophrenia. On autopsy, there were multiple whitish nodules present all over the intestine and various abdominal organs. We identified disseminated tuberculosis, and we analyzed histopathology and microbiology of tissues. We reported Ziehl-Neelsen staining negative for TB. Culture reported positive for Mycobacterium tuberculosis. Histopathology study tissues showed caseous necrotizing granulomas. As seen in some literature, tuberculosis can be seen in mentally ill patients, whereas literature showing the association between tuberculosis and antipsychotic drugs is less. This article highlights the association between such occurrence of tuberculosis while undertaking antipsychotic drug therapy.

17.
Managing Complexity and COVID-19: Life, Liberty, or the Pursuit of Happiness ; : 130-144, 2022.
Artigo em Inglês | Scopus | ID: covidwho-1975137
18.
Managing Complexity and COVID-19: Life, Liberty, or the Pursuit of Happiness ; : 1-220, 2022.
Artigo em Inglês | Scopus | ID: covidwho-1975136

RESUMO

This book brings together insights and perspectives from leading medical, legal, and business professionals, as well as academics and other members of civil society, on the threats and opportunities to life during the COVID-19 pandemic. It provides a uniquely interdisciplinary perspective for policymakers, researchers, and medical professionals to assess the different practical strategies, and risk and crisis management processes available to them in addressing the very difficult choices with which they are presented and their implications. The book presents a framework for the different facets of strategic choices faced by policymakers between life and livelihood, and the challenges of protecting health versus reopening the economy. It also evaluates the intense challenges faced by frontline medical professionals and scientists during an unfolding catastrophe. Finally, the authors explore the societal and human elements of the pandemic and its impact on family dynamics, society, education, and business, including the technology, creative, entertainment, and leisure industries. This book is deliberately short and captures key insights on the COVID-19 pandemic to form an interdisciplinary overview for professionals, policymakers, and business leaders to consider the long-term implications of the pandemic and lessons for future crises. © 2023 selection and editorial matter, Aurobindo Ghosh, Amit Haldar, and Kalyan Bhaumik;individual chapters, the contributors. All rights reserved.

19.
Managing Complexity and COVID-19: Life, Liberty, or the Pursuit of Happiness ; : 201-207, 2022.
Artigo em Inglês | Scopus | ID: covidwho-1970463
20.
2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022 ; 2022.
Artigo em Inglês | Scopus | ID: covidwho-1932097

RESUMO

Depression is an unfamous mental health disorder that has affected half the population worldwide. In December 2019, the break of the COVID-19 pandemic was first spotted in Wuhan, China, and later spread to 212 countries and territories worldwide, impacting half the population. It took a significant toll on their physical health and their mental health. Many among the population lost their loved ones, businesses, and being in quarantine for years, completely shifted to the online mode made everyone's life miserable. Many may be dealing with escalated levels of alcohol and drug use, sleeplessness, and an anxious state of mind. So, the need to address this and help the severely affected ones is significant. Self-quarantine also causes additional stress and challenges the mental health of citizens. This paper intends to identify the people who were mentally affected by the pandemic using machine learning techniques. A survey was conducted among college-going students and professionals. The paper used classification techniques such as Naive Bayes, KNN, Random Forest, Logistic Regression, k-fold cross-validation to get results. Support Vector Machine gave the maximum accuracy of 99.35%. © 2022 IEEE.

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