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  1. Article: Mr J R D Tata's speech at the 1992 United Nations Population Awards Ceremony

    Tata, J. R

    Growing numbers and dwindling resources, edited by Rekha Krishnan

    1994  

    Abstract: The author notes in accepting his award that while he has helped to promote voluntary family planning, India's population remains unstable. He began raising awareness of the alarming rate of India's population growth 41 years ago out of concern over ... ...

    Author's details J.R. Tata
    Abstract The author notes in accepting his award that while he has helped to promote voluntary family planning, India's population remains unstable. He began raising awareness of the alarming rate of India's population growth 41 years ago out of concern over persistent and widespread poverty in the country. India's population began growing exponentially in 1951 as levels of mortality fell dramatically in the context of retreating famine and epidemics like plague and smallpox. At the prompting and support of the Ford Foundation, the author established a foundation to promote family planning. Even though India was among the first countries in the world to establish a national family planning program, it still has the highest rate of population growth in the world, adding about 17 million people to the population annually. If India's population continues to grow at the current rate, it will reach 1 billion by the year 2000 and 1.7 billion by 2025. India has failed to check its rapid population growth because its reproductive-age population accords no priority to ensuring that their children will receive quality educations with which to effectively compete in the marketplace. Realizing the expense of such education and professional training, populations in Europe have opted to have small, better-educated families. India's population needs to be convinced of the merits of a small family norm for parents, children, and the country overall.
    MeSH term(s) Education ; Family Characteristics ; Health Services Needs and Demand ; Population Control ; Population Growth ; Demography ; Developing Countries ; Economics ; Population ; Population Dynamics ; Public Policy
    Keywords Asia ; India ; Southern Asia ; Education ; Family Size, Desired ; Needs ; Demographic Factors ; Economic Factors ; Family And Household ; Family Size ; Policy ; Population Policy ; Social Policy
    Language English
    Size p. 1-2.
    Publishing place New Delhi, India, Tata Energy Research Institute
    Document type Article
    Database Catalogue of the US National Library of Medicine (NLM)

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  2. Book: J. R. D. Tata

    Tata, Jehangir R. D

    memorial lecture, 11th August 2011, New Delhi

    2011  

    Institution Associated Chambers of Commerce and Industry of India
    Language English
    Size 158 S., zahlr. Ill.
    Publisher ASSOCHAM
    Publishing place New Delhi
    Document type Book
    Note Enth. 11 Beitr.
    Database ECONomics Information System

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  3. Article ; Online: Amplifying bactericidal activity: Surfactant-mediated AgBr thin film coating over two-dimensional vertically aligned ZnO nanorods for dark-light dual mode disinfection.

    Tata, Pranathi / Ganesan, Ramakrishnan / Ray Dutta, Jayati

    Journal of photochemistry and photobiology. B, Biology

    2023  Volume 250, Page(s) 112815

    Abstract: Thin film coatings with potent antibacterial properties find critical applications in diverse domains such as medical devices, frequently touched surfaces, and food packaging for combating microbial proliferation across diverse scenarios. Two-dimensional ...

    Abstract Thin film coatings with potent antibacterial properties find critical applications in diverse domains such as medical devices, frequently touched surfaces, and food packaging for combating microbial proliferation across diverse scenarios. Two-dimensional photocatalytic antimicrobial coatings, offering a substantial actual-to-apparent surface ratio, hold immense potential for achieving this objective. However, realizing antibacterial performance not just under light but also in dark conditions remains a challenge. To address this, we present AgBr-coated vertically aligned ZnO nanorods (NRs) thin film architecture, employing a unique surfactant-mediated solution-phase spin-coating approach for achieving uniform deposition of AgBr onto ZnO NRs. The resulting ZnO NRs/AgBr heterojunction architectures have been characterized for their microstructural, morphological, elemental, optical, and wettability attributes. The studies have ascertained the tunability of AgBr content by modulating the concentration of its surfactant-based precursor solution. Further, valence band (VB) analyses revealed an increase in the electron density near to the VB edge. The dual role of AgBr as an antimicrobial agent and a photosensitizer, effectively enhancing the visible-light photodisinfection efficacy of ZnO NRs, has been evident through the dark-light dual mode antibacterial studies. Electron paramagnetic resonance measurements have shown hydroxyl radicals being majorly responsible for the visible-light photodisinfection performance. Encouragingly, reusability assessments showcase significant promise, while artificial sweat-wiping studies on the structures unveil heightened photodisinfection efficacy. This enhancement could be attributed to components like urea and lactic acid, speculated to augment the photocatalytic efficiency by minimizing charge recombination.
    MeSH term(s) Zinc Oxide/chemistry ; Surface-Active Agents ; Disinfection ; Escherichia coli ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/chemistry
    Chemical Substances Zinc Oxide (SOI2LOH54Z) ; Surface-Active Agents ; Anti-Bacterial Agents
    Language English
    Publishing date 2023-11-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 623022-2
    ISSN 1873-2682 ; 1011-1344
    ISSN (online) 1873-2682
    ISSN 1011-1344
    DOI 10.1016/j.jphotobiol.2023.112815
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2347: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey.

    Dolan, Elizabeth H / Goulding, James / Tata, Laila J / Lang, Alexandra R

    JMIR cancer

    2023  Volume 9, Page(s) e37141

    Abstract: Background: Shopping data can be analyzed using machine learning techniques to study population health. It is unknown if the use of such methods can successfully investigate prediagnosis purchases linked to self-medication of symptoms of ovarian cancer.! ...

    Abstract Background: Shopping data can be analyzed using machine learning techniques to study population health. It is unknown if the use of such methods can successfully investigate prediagnosis purchases linked to self-medication of symptoms of ovarian cancer.
    Objective: The aims of this study were to gain new domain knowledge from women's experiences, understand how women's shopping behavior relates to their pathway to the diagnosis of ovarian cancer, and inform research on computational analysis of shopping data for population health.
    Methods: A web-based survey on individuals' shopping patterns prior to an ovarian cancer diagnosis was analyzed to identify key knowledge about health care purchases. Logistic regression and random forest models were employed to statistically examine how products linked to potential symptoms related to presentation to health care and timing of diagnosis.
    Results: Of the 101 women surveyed with ovarian cancer, 58.4% (59/101) bought nonprescription health care products for up to more than a year prior to diagnosis, including pain relief and abdominal products. General practitioner advice was the primary reason for the purchases (23/59, 39%), with 51% (30/59) occurring due to a participant's doctor believing their health problems were due to a condition other than ovarian cancer. Associations were shown between purchases made because a participant's doctor believing their health problems were due to a condition other than ovarian cancer and the following variables: health problems for longer than a year prior to diagnosis (odds ratio [OR] 7.33, 95% CI 1.58-33.97), buying health care products for more than 6 months to a year (OR 3.82, 95% CI 1.04-13.98) or for more than a year (OR 7.64, 95% CI 1.38-42.33), and the number of health care product types purchased (OR 1.54, 95% CI 1.13-2.11). Purchasing patterns are shown to be potentially predictive of a participant's doctor thinking their health problems were due to some condition other than ovarian cancer, with nested cross-validation of random forest classification models achieving an overall in-sample accuracy score of 89.1% and an out-of-sample score of 70.1%.
    Conclusions: Women in the survey were 7 times more likely to have had a duration of more than a year of health problems prior to a diagnosis of ovarian cancer if they were self-medicating based on advice from a doctor rather than having made the decision to self-medicate independently. Predictive modelling indicates that women in such situations, who are self-medicating because their doctor believes their health problems may be due to a condition other than ovarian cancer, exhibit distinct shopping behaviors that may be identifiable within purchasing data. Through exploratory research combining women sharing their behaviors prior to diagnosis and computational analysis of these data, this study demonstrates that women's shopping data could potentially be useful for early ovarian cancer detection.
    Language English
    Publishing date 2023-03-31
    Publishing country Canada
    Document type Journal Article
    ISSN 2369-1999
    ISSN 2369-1999
    DOI 10.2196/37141
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: PspA-mediated aggregation protects

    Lane, Jessica R / Tata, Muralidhar / Yasmin, Rahena / Im, Hansol / Briles, David E / Orihuela, Carlos J

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Streptococcus ... ...

    Abstract Streptococcus pneumoniae
    Language English
    Publishing date 2023-09-30
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.09.27.559802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: PspA-mediated aggregation protects

    Lane, Jessica R / Tata, Muralidhar / Yasmin, Rahena / Im, Hansol / Briles, David E / Orihuela, Carlos J

    mBio

    2023  , Page(s) e0263423

    Abstract: Importance: ... ...

    Abstract Importance: Spn
    Language English
    Publishing date 2023-11-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2557172-2
    ISSN 2150-7511 ; 2161-2129
    ISSN (online) 2150-7511
    ISSN 2161-2129
    DOI 10.1128/mbio.02634-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Emerging Roles of Cholinergic Receptors in Schwann Cell Development and Plasticity.

    Piovesana, Roberta / Reid, Adam J / Tata, Ada Maria

    Biomedicines

    2022  Volume 11, Issue 1

    Abstract: The cross talk between neurons and glial cells during development, adulthood, and disease, has been extensively documented. Among the molecules mediating these interactions, neurotransmitters play a relevant role both in myelinating and non-myelinating ... ...

    Abstract The cross talk between neurons and glial cells during development, adulthood, and disease, has been extensively documented. Among the molecules mediating these interactions, neurotransmitters play a relevant role both in myelinating and non-myelinating glial cells, thus resulting as additional candidates regulating the development and physiology of the glial cells. In this review, we summarise the contribution of the main neurotransmitter receptors in the regulation of the morphogenetic events of glial cells, with particular attention paid to the role of acetylcholine receptors in Schwann cell physiology. In particular, the M2 muscarinic receptor influences Schwann cell phenotype and the α7 nicotinic receptor is emerging as influential in the modulation of peripheral nerve regeneration and inflammation. This new evidence significantly improves our knowledge of Schwann cell development and function and may contribute to identifying interesting new targets to support the activity of these cells in pathological conditions.
    Language English
    Publishing date 2022-12-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11010041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Jack of All Trades: The Role of Pneumococcal Surface Protein A in the Pathogenesis of

    Lane, Jessica R / Tata, Muralidhar / Briles, David E / Orihuela, Carlos J

    Frontiers in cellular and infection microbiology

    2022  Volume 12, Page(s) 826264

    Abstract: Streptococcus ... ...

    Abstract Streptococcus pneumoniae
    MeSH term(s) Animals ; Antibodies, Bacterial ; Bacterial Proteins/metabolism ; Humans ; Mice ; Mice, Inbred BALB C ; Pneumococcal Infections/prevention & control ; Pneumococcal Vaccines ; Streptococcus pneumoniae
    Chemical Substances Antibodies, Bacterial ; Bacterial Proteins ; Pneumococcal Vaccines ; pneumococcal surface protein A
    Language English
    Publishing date 2022-02-02
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2022.826264
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models.

    Dolan, Elizabeth / Goulding, James / Marshall, Harry / Smith, Gavin / Long, Gavin / Tata, Laila J

    Nature communications

    2023  Volume 14, Issue 1, Page(s) 7258

    Abstract: ... Accuracy gains are highest (increases in R ...

    Abstract The COVID-19 pandemic led to unparalleled pressure on healthcare services. Improved healthcare planning in relation to diseases affecting the respiratory system has consequently become a key concern. We investigated the value of integrating sales of non-prescription medications commonly bought for managing respiratory symptoms, to improve forecasting of weekly registered deaths from respiratory disease at local levels across England, by using over 2 billion transactions logged by a UK high street retailer from March 2016 to March 2020. We report the results from the novel AI (Artificial Intelligence) explainability variable importance tool Model Class Reliance implemented on the PADRUS model (Prediction of Amount of Deaths by Respiratory disease Using Sales). PADRUS is a machine learning model optimised to predict registered deaths from respiratory disease in 314 local authority areas across England through the integration of shopping sales data and focused on purchases of non-prescription medications. We found strong evidence that models incorporating sales data significantly out-perform other models that solely use variables traditionally associated with respiratory disease (e.g. sociodemographics and weather data). Accuracy gains are highest (increases in R
    MeSH term(s) Humans ; Pandemics ; Artificial Intelligence ; COVID-19/epidemiology ; Respiratory Tract Diseases ; Respiration Disorders ; Forecasting
    Language English
    Publishing date 2023-11-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-42776-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis.

    Tata, Vaishnavi / Al Saadi, Randa / Cho, Sang Kyu / Varisco, Tyler J / Wanat, Matthew / Thornton, J Douglas

    BMC health services research

    2023  Volume 23, Issue 1, Page(s) 1185

    Abstract: Objective: To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications.: Methods: We created and dispersed a cross-sectional ... ...

    Abstract Objective: To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications.
    Methods: We created and dispersed a cross-sectional online survey through the Qualtrics© data collection platform among a nationwide sample of physicians licensed to practice medicine in the United States who have prescribed an opioid medication within the past year. The responses were analyzed using a deductive thematic analysis approach based on the Consolidated Framework for Implementation Research (CFIR) to ensure a holistic approach to identifying the barriers and facilitators for each RMS assessed. In concordance with this method, the themes and codes for the thematic analysis were defined prior to the analysis. The five domains within the CFIR were used as themes and the 39 nested constructs were treated as the codes. Two members of the research team independently coded the transcripts and discussed points of disagreement until consensus was reached. All analyses were conducted in ATLAS.ti© V7.
    Results: The completion rate for this survey was 85.1% with 273 participant responses eligible for analysis. Intercoder reliability was calculated to be 82%. Deductive thematic analysis yielded 2,077 descriptions of factors affecting implementation of the nine RMS. The most salient code across all RMS was Knowledge and Beliefs about the Intervention, which refers to individuals' attitudes towards and value placed on the intervention. Patient Needs and Resources, a code referring to the extent to which patient needs are known and prioritized by the organization, also emerged as a salient code. The physicians agreed that the patient perspective on the issue is vital to the uptake of each of the RMS.
    Conclusions: This deductive thematic analysis identified key points for actionable intervention across the nine RMS assessed and established the importance of patient concordance with physicians when deciding on a course of treatment.
    MeSH term(s) Humans ; United States ; Analgesics, Opioid/therapeutic use ; Cross-Sectional Studies ; Reproducibility of Results ; Qualitative Research ; Physicians
    Chemical Substances Analgesics, Opioid
    Language English
    Publishing date 2023-10-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2050434-2
    ISSN 1472-6963 ; 1472-6963
    ISSN (online) 1472-6963
    ISSN 1472-6963
    DOI 10.1186/s12913-023-10136-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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