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  1. Article ; Online: Zinc Chloride Catalyzed Amino Claisen Rearrangement of 1-N-Allylindolines

    Jain Seema

    Heterocyclic Communications, Vol 25, Iss 1, Pp 22-

    An Expedient Protocol for the Synthesis of Functionalized 7-Allylindolines

    2019  Volume 26

    Abstract: 7-Allylindolines are valuable synthons for designing biologically active molecular libraries. Lewis acid catalyzed amino-Claisen rearrangement provides a one pot synthetic entry to these heteroarenes. In this context, Zinc chloride (ZnCl2)–N,N- ... ...

    Abstract 7-Allylindolines are valuable synthons for designing biologically active molecular libraries. Lewis acid catalyzed amino-Claisen rearrangement provides a one pot synthetic entry to these heteroarenes. In this context, Zinc chloride (ZnCl2)–N,N-dimethylformamide system efficiently catalyzed amino-Claisen rearrangements of 1-N-allylindolines to 7-allylindolines. The rearrangement is influenced by stereoelectronic effects of substituents present in 1-N-allylindolines. The substrates containing electron donating functionalities underwent rearrangement at lower temperature than substrates with electron withdrawing functional groups. The regioselectivity of the process is governed by the substitution pattern on allyl moiety in 1-N-allylindoline as well as ZnCl2 catalyst loading in the reaction system.
    Keywords amino-claisen rearrangement ; 1-n-allylindoline ; 7-allylindolines ; lewis acid catalysis ; Organic chemistry ; QD241-441
    Language English
    Publishing date 2019-04-01T00:00:00Z
    Publisher De Gruyter
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online ; E-Book: Advanced machine learning approaches in cancer prognosis

    Nayak, Janmenjoy / Favorskaja, Margarita Nikolaevna / Jain, Seema / Naik, Bighnaraj / Mishra, Manohar

    challenges and applications

    (Intelligent systems reference library ; 204)

    2021  

    Author's details Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra editors
    Series title Intelligent systems reference library ; 204
    Collection
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xx, 454 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020950866
    ISBN 978-3-030-71975-3 ; 9783030719746 ; 3-030-71975-8 ; 303071974X
    DOI 10.1007/978-3-030-71975-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Current Trends in the Animal Models for Screening of Nootropic Agents: A Systematic Review.

    Grover, Shubhima / Jain, Seema

    Current reviews in clinical and experimental pharmacology

    2022  Volume 18, Issue 3, Page(s) 255–269

    Abstract: Background: Deficits in cognitive functions are observed in various diseases. The term "nootropics" refers to the compounds that increase mental functions, including memory, motivation, concentration and attention. Given the complexity and vastness of ... ...

    Abstract Background: Deficits in cognitive functions are observed in various diseases. The term "nootropics" refers to the compounds that increase mental functions, including memory, motivation, concentration and attention. Given the complexity and vastness of the processes involved in cognition, developing an appropriate animal model for the screening of nootropic agents still remains a daunting task.
    Objectives: This review attempts to elicit the current trends in the animal models being used for screening of nootropic agents and effectively use this knowledge to improve prospects embarking on this area of research.
    Methods: Electronic searches were carried out on PubMed using the keywords "nootropic agents"[MeSH Term] OR "nootropic drugs" [MeSH Term] AND "animal model" [MeSH Term] OR "animal model, experimental" [MeSH Term]. All relevant studies from 2016 to 31st August, 2021, were then reviewed to meet the stated objective.
    Results: The most commonly used disease model for screening of nootropic agents was found to be the animal model of Alzheimer's disease. Disease models of vascular dementia or stroke, depression or anxiety, schizophrenia, epilepsy or seizure, diabetes and traumatic brain injury, among others, have also been used. There exists a wide variety of behavioral tests to assess cognition.
    Conclusion: Since a variety of etiologies can affect cognitive processes. Hence, a nootropic agent may be screened in a variety of disease models. The most widely used and appropriate method to assess cognition would be by combining the behavioral and biochemical assays so that a more comprehensive profile of the nootropic effects of a drug can be elicited.
    MeSH term(s) Animals ; Nootropic Agents/chemistry ; Alzheimer Disease/complications ; Cognition ; Cognition Disorders/drug therapy
    Chemical Substances Nootropic Agents
    Language English
    Publishing date 2022-04-25
    Publishing country Netherlands
    Document type Systematic Review ; Journal Article
    ISSN 2772-4336
    ISSN (online) 2772-4336
    DOI 10.2174/2772432817666220425121323
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The Intersection of Childcare and Health Among Women at a U.S. Safety-Net Health System During the COVID-19 Pandemic: A Qualitative Study.

    Jain, Seema / Higashi, Robin T / Salmeron, Carolina / Bhavan, Kavita

    Health equity

    2024  Volume 8, Issue 1, Page(s) 32–38

    Abstract: Introduction: Lack of childcare has been linked to missed health care appointments for adult women, especially for lower-income women. The COVID-19 pandemic created additional stressors for many low-income families that already struggled to meet ... ...

    Abstract Introduction: Lack of childcare has been linked to missed health care appointments for adult women, especially for lower-income women. The COVID-19 pandemic created additional stressors for many low-income families that already struggled to meet childcare and health care needs. By exploring the experiences of women who were referred for childcare services at a U.S. safety-net health system, we aimed to understand the challenges women faced in managing their health and childcare needs during the COVID-19 pandemic.
    Methods: We conducted semistructured interviews with participants in Dallas County, TX between August 2021 and February 2022. All participants were referred from women's health clinics at the county's safety-net hospital system to an on-site drop-off childcare center by hospital staff who identified lack of childcare as a barrier to health care access. Participants were the primary caregiver for at least one child ≤age 13. Interviews were conducted in English or Spanish. We analyzed data using thematic content analysis.
    Results: We interviewed 22 participants (mean age 34); participants were adult women, had on average 3 children, and primarily identified as Hispanic or African American. Three interrelated themes emerged: disruptions in access, competing priorities, and exacerbated psychological distress.
    Conclusions: Findings demonstrate how low-income women with young children in a safety-net health system struggle to address their own health needs amid childcare and other household demands. Our study advances our understanding of childcare as a social domain of health, a necessary step to inform how we build structural support systems and drive policy interventions.
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Journal Article
    ISSN 2473-1242
    ISSN (online) 2473-1242
    DOI 10.1089/heq.2023.0068
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Epidemiology of Viral Pneumonia.

    Jain, Seema

    Clinics in chest medicine

    2016  Volume 38, Issue 1, Page(s) 1–9

    Abstract: The burden of pneumonia, including that due to respiratory viruses, is markedly higher in the very young (<5 years) and older adults (≥50 years). Respiratory viruses substantially contribute to pneumonia in both adults and children, and when ... ...

    Abstract The burden of pneumonia, including that due to respiratory viruses, is markedly higher in the very young (<5 years) and older adults (≥50 years). Respiratory viruses substantially contribute to pneumonia in both adults and children, and when systematically tested for, are more commonly detected than bacteria in both adults and children. It is difficult to distinguish between viruses by clinical presentation, and the exact clinical implication of viral detections among patients with pneumonia depends on the pathogen detected; however, there is increasing evidence of their importance in pneumonia.
    MeSH term(s) Community-Acquired Infections/epidemiology ; Female ; Humans ; Male ; Pneumonia, Viral/epidemiology
    Keywords covid19
    Language English
    Publishing date 2016-12-22
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 447455-7
    ISSN 1557-8216 ; 0272-5231
    ISSN (online) 1557-8216
    ISSN 0272-5231
    DOI 10.1016/j.ccm.2016.11.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Longitudinal efficacy of Ertugliflozin in type 2 diabetes mellitus: a meta-analysis of randomized controlled trials.

    Khan, Parvej / Venkatesh, Shubhashree / Parveen, Rizwana / Mishra, Pinki / Jain, Seema / Agarwal, Nidhi

    Expert opinion on pharmacotherapy

    2024  Volume 24, Issue 18, Page(s) 2199–2210

    Abstract: Introduction: Ertugliflozin, a sodium-glucose cotransporter-2 inhibitor, seems to improve glycemic control in type 2 diabetes mellitus (T2DM). We aim to evaluate the efficacy of Ertugliflozin across multiple time intervals (18, 26, and 52 weeks) in T2DM ...

    Abstract Introduction: Ertugliflozin, a sodium-glucose cotransporter-2 inhibitor, seems to improve glycemic control in type 2 diabetes mellitus (T2DM). We aim to evaluate the efficacy of Ertugliflozin across multiple time intervals (18, 26, and 52 weeks) in T2DM patients.
    Methods: A literature search was conducted on electronic databases. Data was extracted from eligible studies at both 5 mg and 15 mg doses in monotherapy and as add-on therapy. Cochrane RevMan was used to perform the meta-analysis.
    Results: Ertugliflozin, at both 5 mg and 15 mg doses, demonstrated a significant improvement in HbA1c levels at 18 weeks 5 mg [
    Conclusion: Ertugliflozin showed clinical efficacy in improving glycemic control, fasting plasma glucose, body weight, and systolic blood pressure in T2DM patients over the studied time intervals compared to placebo.
    MeSH term(s) Humans ; Diabetes Mellitus, Type 2 ; Hypoglycemic Agents/therapeutic use ; Sodium-Glucose Transporter 2 Inhibitors/therapeutic use ; Glycated Hemoglobin ; Randomized Controlled Trials as Topic ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use ; Body Weight ; Blood Glucose
    Chemical Substances Hypoglycemic Agents ; ertugliflozin (6C282481IP) ; Sodium-Glucose Transporter 2 Inhibitors ; Glycated Hemoglobin ; Bridged Bicyclo Compounds, Heterocyclic ; Blood Glucose
    Language English
    Publishing date 2024-01-05
    Publishing country England
    Document type Meta-Analysis ; Journal Article ; Review
    ZDB-ID 2001535-5
    ISSN 1744-7666 ; 1465-6566
    ISSN (online) 1744-7666
    ISSN 1465-6566
    DOI 10.1080/14656566.2023.2279100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Covid-19 lockdown: A greater impact on women.

    Jain, Bhavna / Jain, Seema / Khan, Atif

    The National medical journal of India

    2022  Volume 34, Issue 4, Page(s) 238–239

    Abstract: It is well-documented that during a war, a natural disaster or a pandemic, women bear the worse brunt of the crisis. Worldwide, mental stress, domestic violence and cybercrime against women are widespread and under-reported during Covid-19. Creating ... ...

    Abstract It is well-documented that during a war, a natural disaster or a pandemic, women bear the worse brunt of the crisis. Worldwide, mental stress, domestic violence and cybercrime against women are widespread and under-reported during Covid-19. Creating boundaries in such situations is extremely important. It is imperative that policy-makers adopt a gender perspective to understand and analyse the effects of the pandemic and the lockdown on the economy, livelihoods and social structures. United Nations has called for urgent action and for governments to put women's safety first as they respond to the pandemic.
    MeSH term(s) COVID-19 ; Communicable Disease Control ; Domestic Violence ; Female ; Humans ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2022-03-03
    Publishing country India
    Document type Journal Article
    ZDB-ID 645116-0
    ISSN 0970-258X
    ISSN 0970-258X
    DOI 10.25259/NMJI_385_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19.

    Park, Hailey J / Tan, Sophia T / León, Tomás M / Jain, Seema / Schechter, Robert / Lo, Nathan C

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Background: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide ...

    Abstract Background: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy.
    Methods: This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT).
    Results: For both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35).
    Conclusions: These findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19.
    Language English
    Publishing date 2023-05-21
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.05.18.23289533
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Predicting the Public Health Impact of Bivalent Vaccines and Nirmatrelvir-Ritonavir Against Coronavirus Disease 2019.

    Park, Hailey J / Tan, Sophia T / León, Tomás M / Jain, Seema / Schechter, Robert / Lo, Nathan C

    Open forum infectious diseases

    2023  Volume 10, Issue 9, Page(s) ofad415

    Abstract: Background: Uptake of coronavirus disease 2019 (COVID-19) bivalent vaccines and the oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these ... ...

    Abstract Background: Uptake of coronavirus disease 2019 (COVID-19) bivalent vaccines and the oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy and determine what proportion of severe COVID-19 is avertable with these interventions.
    Methods: This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from 23 July 2022 to 23 January 2023. We used a quasi-Poisson regression model calibrated to recent historical data to predict future COVID-19 outcomes and modeled the impact of increasing uptake (up to 70% coverage) of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups. Risk groups were defined by age (≥50, ≥65, ≥75 years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT).
    Results: The model predicted that increased uptake of bivalent COVID-19 boosters and nirmatrelvir-ritonavir (up to 70% coverage) in all eligible persons could avert an estimated 15.7% (95% uncertainty interval [UI], 11.2%-20.7%; NNT: 17 310) and 23.5% (95% UI, 13.1%-30.0%; NNT: 67) of total COVID-19-related deaths, respectively. In the high-risk group of persons ≥65 years old alone, increased uptake of bivalent boosters and nirmatrelvir-ritonavir could avert an estimated 11.9% (95% UI, 8.4%-15.1%; NNT: 2757) and 22.8% (95% UI, 12.7%-29.2%; NNT: 50) of total COVID-19-related deaths, respectively.
    Conclusions: These findings suggest that prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among older age groups (≥65 years) would be most effective (based on NNT) but would not address the entire burden of severe COVID-19.
    Language English
    Publishing date 2023-08-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofad415
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Assessing the accuracy of California county level COVID-19 hospitalization forecasts to inform public policy decision making.

    White, Lauren A / McCorvie, Ryan / Crow, David / Jain, Seema / León, Tomás M

    BMC public health

    2023  Volume 23, Issue 1, Page(s) 782

    Abstract: Background: The COVID-19 pandemic has highlighted the role of infectious disease forecasting in informing public policy. However, significant barriers remain for effectively linking infectious disease forecasts to public health decision making, ... ...

    Abstract Background: The COVID-19 pandemic has highlighted the role of infectious disease forecasting in informing public policy. However, significant barriers remain for effectively linking infectious disease forecasts to public health decision making, including a lack of model validation. Forecasting model performance and accuracy should be evaluated retrospectively to understand under which conditions models were reliable and could be improved in the future.
    Methods: Using archived forecasts from the California Department of Public Health's California COVID Assessment Tool ( https://calcat.covid19.ca.gov/cacovidmodels/ ), we compared how well different forecasting models predicted COVID-19 hospitalization census across California counties and regions during periods of Alpha, Delta, and Omicron variant predominance.
    Results: Based on mean absolute error estimates, forecasting models had variable performance across counties and through time. When accounting for model availability across counties and dates, some individual models performed consistently better than the ensemble model, but model rankings still differed across counties. Local transmission trends, variant prevalence, and county population size were informative predictors for determining which model performed best for a given county based on a random forest classification analysis. Overall, the ensemble model performed worse in less populous counties, in part because of fewer model contributors in these locations.
    Conclusions: Ensemble model predictions could be improved by incorporating geographic heterogeneity in model coverage and performance. Consistency in model reporting and improved model validation can strengthen the role of infectious disease forecasting in real-time public health decision making.
    MeSH term(s) Humans ; Pandemics ; Retrospective Studies ; COVID-19/epidemiology ; SARS-CoV-2 ; Communicable Diseases/epidemiology ; California/epidemiology ; Public Policy ; Decision Making ; Hospitalization ; Forecasting
    Language English
    Publishing date 2023-04-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-15649-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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