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Nevin Manimala Statistics

Will the negative psychological perceptions of investors reduce platform liquidity? Evidence from China’s online loans

PLoS One. 2023 Oct 10;18(10):e0292158. doi: 10.1371/journal.pone.0292158. eCollection 2023.

ABSTRACT

Market liquidity can reflect whether financial market conditions are favorable and is the primary concern for investors when making investment decisions. Therefore, investors’ psychological perception and confidence in the quality of products (assets) are particularly important. Using 264 of China’s online loan platforms from August 2017 to November 2018, we investigate the impact of the negative psychological perceptions of investors on platform liquidity. The empirical results suggest that the negative psychological perceptions of investors reduce platform liquidity and increase platform liquidity risk. Using the Baidu Search Index to measure investor sentiment, we find that the negative psychological perceptions of investors affect platform liquidity by affecting investor sentiment, which provides a good channel for explaining the main conclusions. Heterogeneity analysis shows that the impact of the negative psychological perceptions of investors on platform liquidity is smaller in high-quality platforms with higher market share and higher registered capital. Meanwhile, we also find that the impact of negative psychological perceptions of investors is greater in private platforms, after the rectification policy, with positive net inflow, and in first- and second-tier cities and coastal cities. Precautionary financial regulatory policies are necessary, not punishment ex post. The research findings of this article can assist investors, platform managers, and regulatory agencies in identifying the liquidity characteristics of platforms, which can contribute to strengthening market liquidity management and financial risk control and provide some reference and support for formulating sustainable development policies in the financial industry.

PMID:37816040 | DOI:10.1371/journal.pone.0292158

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Delay in healthcare seeking for young children with severe pneumonia at Mulago National Referral Hospital, Uganda: A mixed methods cross-sectional study

PLoS One. 2023 Oct 10;18(10):e0291387. doi: 10.1371/journal.pone.0291387. eCollection 2023.

ABSTRACT

BACKGROUND: Globally, pneumonia is the leading infectious cause of under-five mortality, and this can be reduced by prompt healthcare seeking. Data on factors associated with delays in seeking care for children with pneumonia in Uganda is scarce.

OBJECTIVES: The study aimed to determine the prevalence, factors associated with delay, barriers, and facilitators of prompt healthcare seeking for children under five years of age with severe pneumonia attending Mulago National Referral Hospital (MNRH) Uganda.

METHODS: A mixed methods cross-sectional study was conducted among 384 caregivers of children with severe pneumonia at MNRH. Quantitative data was collected using interviewer-administered structured questionnaires and qualitative data through focus group discussions with caregivers. Descriptive statistics were used to determine the prevalence of delay in care seeking. Logistic regression analysis was used to determine the factors that were independently associated with delay in seeking healthcare. Content thematic analysis was used to analyze for barriers and facilitators of prompt healthcare seeking.

RESULTS: The prevalence of delay in seeking healthcare was 53.6% (95% CI: 48.6-58.6). Long distance to a hospital (AOR = 1.94, 95% CI 1.22-3.01, p value = 0.003), first seeking care elsewhere (AOR = 3.33, 95% CI 1.85-6.01, p value = 0.001), and monthly income ≤100,000 UGX (28 USD) (AOR = 2.27,95% CI 1.33-3.86, p value = 0.003) were independently associated with delay in seeking healthcare. Limited knowledge of symptoms, delayed referrals, self-medication, and low level of education were barriers to prompt healthcare seeking while recognition of symptoms of severe illness in the child, support from spouses, and availability of money for transport were key facilitators of early healthcare seeking.

CONCLUSION: This study showed that more than half of the caregivers delayed seeking healthcare for their children with pneumonia symptoms. Caregivers who first sought care elsewhere, lived more than 5 km from the hospital, and earned less than 28 USD per month were more likely to delay seeking healthcare for their children with severe pneumonia. Limited knowledge of symptoms of pneumonia, self-medication, and delayed referral hindered prompt care-seeking. Key facilitators of prompt care-seeking were accessibility to health workers, support from spouses, and recognition of symptoms of severe illness in children. There is a need for programs that educate caregivers about pneumonia symptoms, in children less than five years.

PMID:37816023 | DOI:10.1371/journal.pone.0291387

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Respiratory virus surveillance in hospitalized children less than two-years of age in Kenema, Sierra Leone during the COVID-19 pandemic (October 2020- October 2021)

PLoS One. 2023 Oct 10;18(10):e0292652. doi: 10.1371/journal.pone.0292652. eCollection 2023.

ABSTRACT

Globally, viral pathogens are the leading cause of acute respiratory infection in children under-five years. We aim to describe the epidemiology of viral respiratory pathogens in hospitalized children under-two years of age in Eastern Province of Sierra Leone, during the second year of the SARS-CoV-2 pandemic. We conducted a prospective study of children hospitalized with respiratory symptoms between October 2020 and October 2021. We collected demographic and clinical characteristics and calculated each participant´s respiratory symptom severity. Nose and throat swabs were collected at enrollment. Total nucleic acid was purified and tested for multiple respiratory viruses. Statistical analysis was performed using R version 4.2.0 software. 502 children less than two-years of age were enrolled. 376 (74.9%) had at least one respiratory virus detected. The most common viruses isolated were HRV/EV (28.2%), RSV (19.5%) and PIV (13.1%). Influenza and SARS-CoV-2 were identified in only 9.2% and 3.9% of children, respectively. Viral co-detection was common. Human metapneumovirus and RSV had more than two-fold higher odds of requiring O2 therapy while hospitalized. Viral pathogen prevalence was high (74.9%) in our study population. Despite this, 100% of children received antibiotics, underscoring a need to expand laboratory diagnostic capacity and to revisit clinical guidelines implementation in these children. Continuous surveillance and serologic studies among more diverse age groups, with greater geographic breadth, are needed in Sierra Leone to better characterize the long-term impact of COVID-19 on respiratory virus prevalence and to better characterize the seasonality of respiratory viruses in Sierra Leone.

PMID:37816008 | DOI:10.1371/journal.pone.0292652

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The aims and effectiveness of communities of practice in healthcare: A systematic review

PLoS One. 2023 Oct 10;18(10):e0292343. doi: 10.1371/journal.pone.0292343. eCollection 2023.

ABSTRACT

Communities of practice (CoPs) are defined as “groups of people who share a concern, a set of problems, or a passion about a topic, and who deepen their knowledge and expertise by interacting on an ongoing basis”. They are an effective form of knowledge management that have been successfully used in the business sector and increasingly so in healthcare. In May 2023 the electronic databases MEDLINE and EMBASE were systematically searched for primary research studies on CoPs published between 1st January 1950 and 31st December 2022. PRISMA guidelines were followed. The following search terms were used: community/communities of practice AND (healthcare OR medicine OR patient/s). The database search picked up 2009 studies for screening. Of these, 50 papers met the inclusion criteria. The most common aim of CoPs was to directly improve a clinical outcome, with 19 studies aiming to achieve this. In terms of outcomes, qualitative outcomes were the most common measure used in 21 studies. Only 11 of the studies with a quantitative element had the appropriate statistical methodology to report significance. Of the 9 studies that showed a statistically significant effect, 5 showed improvements in hospital-based provision of services such as discharge planning or rehabilitation services. 2 of the studies showed improvements in primary-care, such as management of hepatitis C, and 2 studies showed improvements in direct clinical outcomes, such as central line infections. CoPs in healthcare are aimed at improving clinical outcomes and have been shown to be effective. There is still progress to be made and a need for further studies with more rigorous methodologies, such as RCTs, to provide further support of the causality of CoPs on outcomes.

PMID:37815986 | DOI:10.1371/journal.pone.0292343

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Modeling the Photoelectrochemical Evolution of Lead-Based, Mixed-Halide Perovskites Due to Photosegregation

ACS Nano. 2023 Oct 10. doi: 10.1021/acsnano.3c07165. Online ahead of print.

ABSTRACT

Lead-based, mixed-halide perovskites such as methylammonium lead iodide-bromide [MAPb(I1-xBrx)3] undergo anion photosegregation under illumination. This is observed as low-band-gap photoluminescence from photogenerated iodine-rich domains due to favorable band offsets that induce carrier funneling into them. Unfortunately, theoretical rationalizations of mixed-halide photosegregation are complicated by biases inherent in photoluminescence-based observations. Recent compositionally weighted X-ray diffraction (XRD) measurements now reveal broad distributions of photosegregated stoichiometries not captured by existing photosegregation models. To better bridge experiment and theory, we perform kinetic Monte Carlo (KMC) simulations of photosegregation within the context of a band-gap-based thermodynamic model, which has previously accounted for numerous experimental observations. Our KMC simulations are modified to consider high carrier density Fermi-Dirac statistics that result from carrier funneling and accumulation within photosegregated I-rich domains. Obtained KMC results reproduce broad terminal halide (xterminal) distributions seen experimentally and illustrate how they are characterized by a central, heavily I-enriched stoichiometry. I-rich domain “drifting” during photosegregation rationalizes the long photosegregation time scales seen experimentally with drifting simultaneously, producing a wake of variable stoichiometry I-rich inclusions that form the lion’s share of stoichiometric heterogeneities seen in compositionally weighted XRD measurements. These simulations and accompanying rationalizations further reveal a general criterion for realizing favorable free energies to induce demixing. Central to the criterion is the statistical occupation of low gap inclusions in the parent alloy by excitations. The resulting model thus provides a general framework for conceptualizing mixed-halide perovskite light and temperature sensitivities mediated by photocarriers.

PMID:37815981 | DOI:10.1021/acsnano.3c07165

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Evaluation of Transparency and Openness Guidelines in Physical Therapy Journals

Phys Ther. 2023 Oct 10:pzad133. doi: 10.1093/ptj/pzad133. Online ahead of print.

ABSTRACT

OBJECTIVE: The goals of this study were to evaluate the extent that physical therapy journals support open science research practices by adhering to the Transparency and Openness Promotion guidelines and to assess the relationship between journal scores and their respective journal impact factor.

METHODS: Scimago, mapping studies, the National Library of Medicine, and journal author guidelines were searched to identify physical therapy journals for inclusion. Journals were graded on 10 standards (29 available total points) related to transparency with data, code, research materials, study design and analysis, preregistration of studies and statistical analyses, replication, and open science badges. The relationship between journal transparency and openness scores and their journal impact factor was determined.

RESULTS: Thirty-five journals’ author guidelines were assigned transparency and openness factor scores. The median score (interquartile range) across journals was 3.00 out of 29 (3.00) points (for all journals the scores ranged from 0-8). The 2 standards with the highest degree of implementation were design and analysis transparency (reporting guidelines) and study preregistration. No journals reported on code transparency, materials transparency, replication, and open science badges. Transparency and openness promotion factor scores were a significant predictor of journal impact factor scores.

CONCLUSION: There is low implementation of the transparency and openness promotion standards by physical therapy journals. Transparency and openness promotion factor scores demonstrated predictive abilities for journal impact factor scores. Policies from journals must improve to make open science practices the standard in research. Journals are in an influential position to guide practices that can improve the rigor of publication which, ultimately, enhances the evidence-based information used by physical therapists.

IMPACT: Transparent, open, and reproducible research will move the profession forward by improving the quality of research and increasing the confidence in results for implementation in clinical care.Running Head: Transparency in Physical Therapy Journals.

PMID:37815940 | DOI:10.1093/ptj/pzad133

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Clinical outcomes of ALK+ non-small cell lung cancer in Denmark

Acta Oncol. 2023 Oct 10:1-9. doi: 10.1080/0284186X.2023.2263153. Online ahead of print.

ABSTRACT

BACKGROUND: Real-world clinical outcomes of anaplastic lymphoma kinase positive (ALK+) non-small cell lung cancer (NSCLC) patients vary. This study aimed to investigate the treatment and clinical outcomes of all ALK+ NSCLC patients in Denmark in the period 2011-2018, regardless of disease stage.

MATERIALS AND METHODS: A national pathology database with complete coverage was used to identify ALK+ NSCLC patients diagnosed between 2011 and 2018. Clinical data were obtained through retrospective chart reviews. Overall survival (OS) and duration of treatment (DOT) were analyzed using Kaplan-Meier methodologies.

RESULTS: A total of 209 ALK+ NSCLC patients were included. The cohort had a slight overrepresentation of female patients (56.5%) with a mean age of 61.6 years. Most patients were adenocarcinoma cases (97%) and presented with an ECOG performance status of 0-1 (79%). Stage IIIb-IVb patients comprised 70% of the cohort. The use of ALK-tyrosine kinase inhibitors (TKIs) as first-line treatment increased over time, with the 1st generation ALK-TKI crizotinib being the predominant treatment in the 1st line. In 1st line treatment, 2nd generation ALK-TKIs had a median DOT more than twice the median DOT of crizotinib (25.1 and 9.1 months, respectively). The median OS for the entire cohort was 44.0 months. Patients with stage I-IIIA disease had a median OS that had not been reached, while those with stage IIIb-IVb disease had a median OS of 31.8 months. Patients with stage IIIb-IVb disease receiving an ALK-TKI as 1st line treatment had a median OS of 42.5 months with immature follow-up. Brain metastases at diagnosis or choice of 1st line treatment did not statistically significantly impact OS.

CONCLUSION: This study gives insights into the treatment and outcome of ALK+ NSCLC patients in Denmark and provides a real-world confirmation of the superior disease control provided by 2nd generation ALK-TKIs as compared to the 1st generation ALK-TKI crizotinib.

PMID:37815923 | DOI:10.1080/0284186X.2023.2263153

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Pregnancy Complications Are Associated with Premature Coronary Artery Disease: Linking Three Cohorts

J Womens Health (Larchmt). 2023 Oct 10. doi: 10.1089/jwh.2023.0239. Online ahead of print.

ABSTRACT

Background: There is increasing evidence that women who experience placenta-mediated pregnancy complications and gestational diabetes mellitus (GDM) are at higher risk for the development of coronary artery disease (CAD) later in life. We hypothesized that there is an association between placenta-mediated pregnancy complications, GDM, and risk of premature CAD (PCAD). Methods: This research project involved a data linkage approach merging three databases of South Australian cohorts by using a retrospective, age-matched case-control study design. Cases (n = 721) were ascertained from the Coronary Angiogram Database of South Australia (CADOSA). Women <60 years from CADOSA were linked to South Australian Perinatal Statistics Collection (SAPSC) to ascertain their prior pregnancy outcomes. Controls (n = 194) were selected from North West Adelaide Health Study (NWAHS) and comprised women who were healthy or had other health conditions unrelated to CAD, age-matched to CADOSA (±5 years), and linked to SAPSC to determine their pregnancy outcomes. PCAD was defined as >50% stenosis in one or more coronary arteries at coronary angiography. Results: Compared with women without a history of PCAD, women who were diagnosed with PCAD were more likely to have experienced the placenta-mediated pregnancy complications of preterm birth (adjusted odds ratio [OR] = 2.46, 95% confidence interval [CI]: 1.21-5.00) or low-birth weight (adjusted OR = 2.44, 95% CI: 1.22-4.88), or have been diagnosed with active asthma during pregnancy (adjusted OR = 3.52, 95% CI: 1.05-11.76). Conclusion: Placenta-mediated pregnancy complications should be recognized as clear risk markers for future PCAD.

PMID:37815882 | DOI:10.1089/jwh.2023.0239

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ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer

Database (Oxford). 2023 Oct 10;2023:baad063. doi: 10.1093/database/baad063.

ABSTRACT

‘Esophageal cancer’ (EC) is a highly aggressive and deadly complex disease. It comprises two types, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), with Barrett’s esophagus (BE) being the only known precursor. Recent research has revealed that microRNAs (miRNAs) play a crucial role in the development, prognosis and treatment of EC and are involved in various human diseases. Biological databases have become essential for cancer research as they provide information on genes, proteins, pathways and their interactions. These databases collect, store and manage large amounts of molecular data, which can be used to identify patterns, predict outcomes and generate hypotheses. However, no comprehensive database exists for EC and miRNA relationships. To address this gap, we developed a dynamic database named ‘ESOMIR (miRNA in esophageal cancer) (https://esomir.dqweilab-sjtu.com)’, which includes information about targeted genes and miRNAs associated with EC. The database uses analysis and prediction methods, including experimentally endorsed miRNA(s) information. ESOMIR is a user-friendly interface that allows easy access to EC-associated data by searching for miRNAs, target genes, sequences, chromosomal positions and associated signaling pathways. The search modules are designed to provide specific data access to users based on their requirements. Additionally, the database provides information about network interactions, signaling pathways and region information of chromosomes associated with the 3’untranslated region (3’UTR) or 5’UTR and exon sites. Users can also access energy levels of specific miRNAs with targeted genes. A fuzzy term search is included in each module to enhance the ease of use for researchers. ESOMIR can be a valuable tool for researchers and clinicians to gain insight into EC, including identifying biomarkers and treatments for this aggressive tumor. Database URL https://esomir.dqweilab-sjtu.com.

PMID:37815872 | DOI:10.1093/database/baad063

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A Gaussian Process Based Δ-Machine Learning Approach to Reactive Potential Energy Surfaces

J Phys Chem A. 2023 Oct 10. doi: 10.1021/acs.jpca.3c05318. Online ahead of print.

ABSTRACT

The Gaussian process (GP) is an efficient nonparametric machine learning (ML) method. A distinct advantage of the GP is its ability to provide an estimate of statistical uncertainties. This is particularly useful in constructing high-dimensional potential energy surfaces (PESs) from ab initio data as it offers an optimal way to add new geometries to reduce the overall error. In this work, GP is employed in the context of Δ-machine learning (Δ-ML), in which a correction PES to an inaccurate low-level PES is constructed using a small number of high-level ab initio calculations. This new method is tested in three prototypical reactive systems, namely, the H + H2 → H + H2, OH + H2 → H2O + H, and H + CH4 → H2 + CH3 reactions. The results show that the GP-based Δ-ML approach is more efficient than its direct application in constructing high-level PESs. We also compare the new method to a previously proposed neural-network-based Δ-ML approach [Liu and Li J. Phys. Chem. Lett. 2022, 13, 4729-4738]. The results indicate that the two Δ-ML methods have comparable efficiencies in constructing accurate PESs.

PMID:37815868 | DOI:10.1021/acs.jpca.3c05318