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  • 1
    In: Computers in Biology and Medicine, Elsevier BV, Vol. 146 ( 2022-07), p. 105419-
    Type of Medium: Online Resource
    ISSN: 0010-4825
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1496984-1
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Emerald ; 2022
    In:  International Journal of Emerging Markets ( 2022-02-15)
    In: International Journal of Emerging Markets, Emerald, ( 2022-02-15)
    Abstract: This study aims to investigate the factors that drive housing loan default in India based on unique micro-level data drawn from a public sector bank's credit files with a national presence in India. The authors address endogeneity in the loan to value ratio (LTV) while deciphering the drivers of default. Design/methodology/approach The study uses a probit regression approach to analyze the relationship between the probability of default and the explanatory variables. The authors introduce two instrumental variables to address the issue of endogeneity. The authors also add state-level demographic and several other control variables, including an indicator variable that captures the recent regulatory change. The authors’ analysis is based on 102,327 housing loans originated by the bank between January 2001 and December 2017. Findings The authors find that addressing the endogeneity issue is essential to specify default drivers, especially LTV, correctly. The nature of employment, gender, socio-religious category and age have a distinct bearing on housing loan defaults. Apart from the LTV ratio, the other key determinants of default are the interest rate, frequency of repayment, prepayment options and the loan period. The findings suggest that the population classification of branch location plays a significant role in loan default. The authors find that an increase in per capita income and an increase in the number of employed people in the state, which reflects borrowers' ability to pay by borrowers, reduce the probability of default. The change in the regulatory classification of loan assets by the Reserve Bank of India did not bear the main results. Research limitations/implications The non-availability of the house price index in analyzing the default dynamics in the Indian housing finance market for the period covered under the study has constrained our analysis. The applicability of the equity theory of default, strategic default, borrowers' characteristics and personality traits are potential research areas in the Indian housing finance market. Practical implications The study's findings are expected to provide valuable inputs to the banks and the housing finance companies to explore and formulate appropriate strategic options in lending to this sector. It has highlighted various vistas of tailor-making housing loan product offerings by the commercial banks to ensure and steady and healthy growth of their loan portfolio. It has also highlighted the regulatory and policy underpinnings to ensure the healthy growth of the Indian housing finance market. Originality/value The study provides a fresh perspective on the default drivers in the Indian housing finance market based on micro-level data. In our analysis, the authors find clear evidence of endogeneity in LTV and argue that any attempts to decipher the default drivers of housing loans without addressing the issue of endogeneity may lead to faulty interpretation. Therefore, this study is unique in recognizing endogeneity and has gone deeper in identifying the default drivers in the Indian housing market not addressed by earlier papers on the Indian housing market. The authors also control for the regulatory changes in the Indian housing finance market and include state-level control variables like per capita GDP and the number of workers per thousand to capture the borrowers' ability to pay characteristics.
    Type of Medium: Online Resource
    ISSN: 1746-8809
    Language: English
    Publisher: Emerald
    Publication Date: 2022
    detail.hit.zdb_id: 2242085-X
    SSG: 3,2
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  • 3
    In: Trials, Springer Science and Business Media LLC, Vol. 24, No. 1 ( 2023-05-06)
    Abstract: Postoperative morbidity and mortality in patients undergoing major emergency gastrointestinal surgery are a major burden on healthcare systems. Optimal management of perioperative intravenous fluids may reduce mortality rates and improve outcomes from surgery. Previous small trials of cardiac-output guided haemodynamic therapy algorithms in patients undergoing gastrointestinal surgery have suggested this intervention results in reduced complications and a modest reduction in mortality. However, this existing evidence is based mainly on elective (planned) surgery, with little evaluation in the emergency setting. There are fundamental clinical and pathophysiological differences between the planned and emergency surgical setting which may influence the effects of this intervention. A large definitive trial in emergency surgery is needed to confirm or refute the potential benefits observed in elective surgery and to inform widespread clinical practice. Methods The FLO-ELA trial is a multi-centre, parallel-group, open, randomised controlled trial. 3138 patients aged 50 and over undergoing major emergency gastrointestinal surgery will be randomly allocated in a 1:1 ratio using minimisation to minimally invasive cardiac output monitoring to guide protocolised administration of intra-venous fluid, or usual care without cardiac output monitoring. The trial intervention will be carried out during surgery and for up to 6 h postoperatively. The trial is funded through an efficient design call by the National Institute for Health and Care Research Health Technology Assessment (NIHR HTA) programme and uses existing routinely collected datasets for the majority of data collection. The primary outcome is the number of days alive and out of hospital within 90 days of randomisation. Participants and those delivering the intervention will not be blinded to treatment allocation. Participant recruitment started in September 2017 with a 1-year internal pilot phase and is ongoing at the time of publication. Discussion This will be the largest contemporary randomised trial examining the effectiveness of perioperative cardiac output-guided haemodynamic therapy in patients undergoing major emergency gastrointestinal surgery. The multi-centre design and broad inclusion criteria support the external validity of the trial. Although the clinical teams delivering the trial interventions will not be blinded, significant trial outcome measures are objective and not subject to detection bias. Trial registration ISRCTN 14729158. Registered on 02 May 2017.
    Type of Medium: Online Resource
    ISSN: 1745-6215
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2040523-6
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  • 4
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 374, No. 6570 ( 2021-11-19), p. 995-999
    Abstract: Delhi, the national capital of India, experienced multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in 2020 and reached population seropositivity of 〉 50% by 2021. During April 2021, the city became overwhelmed by COVID-19 cases and fatalities, as a new variant, B.1.617.2 (Delta), replaced B.1.1.7 (Alpha). A Bayesian model explains the growth advantage of Delta through a combination of increased transmissibility and reduced sensitivity to immune responses generated against earlier variants (median estimates: 1.5-fold greater transmissibility and 20% reduction in sensitivity). Seropositivity of an employee and family cohort increased from 42% to 87.5% between March and July 2021, with 27% reinfections, as judged by increased antibody concentration after a previous decline. The likely high transmissibility and partial evasion of immunity by the Delta variant contributed to an overwhelming surge in Delhi.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2021
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    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 5
    In: Bulletin of the American Meteorological Society, American Meteorological Society, Vol. 102, No. 10 ( 2021-10), p. E1936-E1951
    Abstract: In the Bay of Bengal, the warm, dry boreal spring concludes with the onset of the summer monsoon and accompanying southwesterly winds, heavy rains, and variable air–sea fluxes. Here, we summarize the 2018 monsoon onset using observations collected through the multinational Monsoon Intraseasonal Oscillations in the Bay of Bengal (MISO-BoB) program between the United States, India, and Sri Lanka. MISO-BoB aims to improve understanding of monsoon intraseasonal variability, and the 2018 field effort captured the coupled air–sea response during a transition from active-to-break conditions in the central BoB. The active phase of the ∼20-day research cruise was characterized by warm sea surface temperature (SST 〉 30°C), cold atmospheric outflows with intermittent heavy rainfall, and increasing winds (from 2 to 15 m s −1 ). Accumulated rainfall exceeded 200 mm with 90% of precipitation occurring during the first week. The following break period was both dry and clear, with persistent 10–12 m s −1 wind and evaporation of 0.2 mm h −1 . The evolving environmental state included a deepening ocean mixed layer (from ∼20 to 50 m), cooling SST (by ∼1°C), and warming/drying of the lower to midtroposphere. Local atmospheric development was consistent with phasing of the large-scale intraseasonal oscillation. The upper ocean stores significant heat in the BoB, enough to maintain SST above 29°C despite cooling by surface fluxes and ocean mixing. Comparison with reanalysis indicates biases in air–sea fluxes, which may be related to overly cool prescribed SST. Resolution of such biases offers a path toward improved forecasting of transition periods in the monsoon.
    Type of Medium: Online Resource
    ISSN: 0003-0007 , 1520-0477
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2021
    detail.hit.zdb_id: 2029396-3
    detail.hit.zdb_id: 419957-1
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  • 6
    In: Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Elsevier BV, Vol. 15, No. 5 ( 2021-09), p. 102267-
    Type of Medium: Online Resource
    ISSN: 1871-4021
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2273766-2
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  • 7
    Online Resource
    Online Resource
    Elsevier BV ; 2020
    In:  Deep Sea Research Part II: Topical Studies in Oceanography Vol. 172 ( 2020-02), p. 104721-
    In: Deep Sea Research Part II: Topical Studies in Oceanography, Elsevier BV, Vol. 172 ( 2020-02), p. 104721-
    Type of Medium: Online Resource
    ISSN: 0967-0645
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1141627-0
    detail.hit.zdb_id: 1500312-7
    SSG: 14
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  • 8
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Biostatistics Vol. 21, No. 4 ( 2020-10-01), p. 876-894
    In: Biostatistics, Oxford University Press (OUP), Vol. 21, No. 4 ( 2020-10-01), p. 876-894
    Abstract: In a cross-sectional study, adolescent and young adult females were asked to recall the time of menarche, if experienced. Some respondents recalled the date exactly, some recalled only the month or the year of the event, and some were unable to recall anything. We consider estimation of the menarcheal age distribution from this interval-censored data. A complicated interplay between age-at-event and calendar time, together with the evident fact of memory fading with time, makes the censoring informative. We propose a model where the probabilities of various types of recall would depend on the time since menarche. For parametric estimation, we model these probabilities using multinomial regression function. Establishing consistency and asymptotic normality of the parametric maximum likelihood estimator requires a bit of tweaking of the standard asymptotic theory, as the data format varies from case to case. We also provide a non-parametric maximum likelihood estimator, propose a computationally simpler approximation, and establish the consistency of both these estimators under mild conditions. We study the small sample performance of the parametric and non-parametric estimators through Monte Carlo simulations. Moreover, we provide a graphical check of the assumption of the multinomial model for the recall probabilities, which appears to hold for the menarcheal data set. Our analysis shows that the use of the partially recalled part of the data indeed leads to smaller confidence intervals of the survival function.
    Type of Medium: Online Resource
    ISSN: 1465-4644 , 1468-4357
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2020601-X
    SSG: 12
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  • 9
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 25-25
    Abstract: Acute myeloid leukemia (AML) is a heterogeneous, aggressive hematological malignancy with dismal prognosis where limited targeted therapies are currently available. Poly-(ADP-ribose)-polymerase (PARP) inhibition has emerged as an important therapeutic arsenal to target homologous recombination-deficient tumors. However, molecular understanding of PARP blockade in the context of epigenetic derangements and transcriptional plasticity in human elderly AML pathogenesis remains unexplored. KDM6 proteins are H3K27 demethylases that critically regulate chromatin architecture in multi-cellularity and tumorigenesis (Tran, Mol Cell Biol 2020). KDM6A escapes X-chr inactivation, and Utx-/- female mice spontaneously develop aging associated myeloid leukemia (Gozdecka, Nat Genet 2018; Sera, Blood 2021). In addition, KDM6A loss of function mutation is implicated in AML relapse (Stief, Leukemia 2020). In contrast, KDM6B primarily exerts an oncogenic function in heme-malignancies. Together, KDM6A and KDM6B play cell type-specific function in leukemia, and KDM6 proteins and associated signaling emerge as important focal point for developing molecular targeted therapy. We identify that KDM6 demethylase activity critically regulates DNA damage repair (DDR) gene expression program in AML. Transcriptome analysis indicated a significant downregulation of expression of DDR genesets in both KDM6A deficient human AML and Utx -/- pre-leukemic cells. Lentiviral shRNA screening performed in response to low-dose γ-irradiation in AML stem cells, revealed a radioprotective function of KDM6A. Expression of KDM6s is regulated by genotoxic stress in a time-dependent manner, and deficiency of JmjC catalytic function impaired DDR transcriptional activation and compromised repair potential. Mechanistically, quantitative ChIP experiments also revealed co-operation between KDM6A and SWI/SNF facilitating dynamic chromatin remodeling at TSS/promoter to induce DDR gene expression. To interrogate changes in chromatin accessibility we performed ATAC-seq analysis in KDM6 deficient AML. Motif enrichment highlighted that while KDM6A depletion led to reduced chromatin access to 140 transcription factors (TFs), only 56 TF binding sites showed increased accessibility. Overall, changes in chromatin accessibility, associated with a reduced binding of DDR regulatory TFs in KDM6 deficient AML, account for a compromised DDR function. In agreement with these findings an array of KDM6 deficient AML cells were more sensitive to PARP inhibition, and pre-clinical mice models xenotransplanted with KDM6A loss of function AML line showed an increased susceptibility to PARP blockade in vivo. FLT3-ITD positive AML with a lower KDM6A expression was more sensitive to olaparib. In addition, olaparib administration significantly reduced bone marrow engraftment of patient-derived xenografts of KDM6A-mutant primary AML. Interestingly, KDM6A expression is upregulated in venetoclax-resistant monocytic-AML compared to venet-sensitive primitive-AML. Using venet responsive isogenic lines we demonstrated that attenuation of KDM6 function increased mitochondrial activity, intracellular ROS levels, de-repressed BCL2 expression, and sensitized AML cells to venetoclax. Additionally, KDM6 loss resulted in transcriptional repression of BCL2A1, commonly associated with venet resistance (Zhang, Nat Cancer 2020). Corroborating these results, dual targeting of PARP with BCL2 was superior to PARP or BCL2 inhibitor monotherapy in inducing primary AML apoptosis, and KDM6A loss further enhanced this synergism. In sum, our study illustrates a molecular mechanistic rationale in support for a novel combination targeted therapy for AML, and posit KDM6A as a molecular determinant for therapeutic efficacy. Intriguingly, KDM6A functions as a gatekeeper of BCL2 and BCL2A1 expression. Similar to TET2 although bi-allelic Utx loss causes evolution to myeloid neoplasms, minimal KDM6 activity is important for survival of human AML cells. KDM6s have been implicated in solid tumors, and both PARP and BCL2 inhibitors are being tested in cancer patients, underscoring a wider scope of application. To conclude, KDM6A unfolds to be a central regulator for susceptibility of AML to both PARP and BCL2 inhibition, expanding the possibility to characterize effective combination targeted therapy for AML in clinical settings. Disclosures Minden: Astellas: Consultancy. Dick: Celgene, Trillium Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Journal of Environmental Quality, Wiley, Vol. 52, No. 2 ( 2023-03), p. 315-327
    Abstract: Decision tree (DT) and logistic regression (LR) models are tested with field data. For rice cultivation, the better performing DT model predicts 14 mg kg −1 total As as the soil limit. Both LR and random forest models identified available Fe, P, and organic carbon as important variables governing bioavailable As. From LR model, 5.70 mg kg −1 is the threshold limit for soil bioavailable As for rice.
    Type of Medium: Online Resource
    ISSN: 0047-2425 , 1537-2537
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 120525-0
    detail.hit.zdb_id: 2050469-X
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