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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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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Nevin Manimala Statistics

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

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Nevin Manimala Statistics

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

JMIR Form Res. 2023 Oct 10;7:e48946. doi: 10.2196/48946.

ABSTRACT

BACKGROUND: In resource-limited countries, access to specialized health care services such as dermatology is limited. Clinical decision support systems (CDSSs) offer innovative solutions to address this challenge. However, the implementation of CDSSs is commonly associated with unique challenges. VisualDx-an exemplar CDSS-was recently implemented in Botswana to provide reference materials in support of the diagnosis and management of dermatological conditions. To inform the sustainable implementation of VisualDx in Botswana, it is important to evaluate the intended users’ perceptions about the technology.

OBJECTIVE: This study aims to determine health care workers’ acceptance of VisualDx to gauge the feasibility of future adoption in Botswana and other similar health care systems.

METHODS: The study’s design was informed by constructs of the Technology Acceptance Model. An explanatory, sequential, mixed methods study involving surveys and semistructured interviews was conducted. The REDCap (Research Electronic Data Capture; Vanderbilt University) platform supported web-based data capture from March 2021 through August 2021. In total, 28 health care workers participated in the study. Descriptive statistics were generated and analyzed using Excel (Microsoft Corp), and thematic analysis of interview transcripts was performed using Delve software.

RESULTS: All survey respondents (N=28) expressed interest in using mobile health technology to support their work. Before VisualDx, participants referenced textbooks, journal articles, and Google search engines. Overall, participants’ survey responses showed their confidence in VisualDx (18/19, 95%); however, some barriers were noted. Frequently used VisualDx features included generating a differential diagnosis through manual entry of patient symptoms (330/681, 48.5% of total uses) or using the artificial intelligence feature to analyze skin conditions (150/681, 22% of total uses). Overall, 61% (17/28) of the survey respondents were also interviewed, and 4 thematic areas were derived.

CONCLUSIONS: Participants’ responses indicated their willingness to accept VisualDx. The ability to access information quickly without internet connection is crucial in resource-constrained environments. Selected enhancements to VisualDx may further increase its feasibility in Botswana. Study findings can serve as the basis for improving future CDSS studies and innovations in Botswana and similar resource-limited countries.

PMID:37815861 | DOI:10.2196/48946

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Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder

JAMA Netw Open. 2023 Oct 2;6(10):e2337192. doi: 10.1001/jamanetworkopen.2023.37192.

ABSTRACT

IMPORTANCE: Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria.

OBJECTIVE: To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023.

MAIN OUTCOMES AND MEASURES: Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate).

RESULTS: A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count.

CONCLUSIONS AND RELEVANCE: In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD.

PMID:37815828 | DOI:10.1001/jamanetworkopen.2023.37192

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Nevin Manimala Statistics

The associations of coffee consumption, coffee types, and caffeine metabolites with periodontitis: Results from NHANES 2009-2014

J Periodontol. 2023 Oct 10. doi: 10.1002/JPER.23-0322. Online ahead of print.

ABSTRACT

BACKGROUND: Coffee is one of the world’s most popular beverages and is the main dietary source of caffeine for most people. The various molecular effects of caffeine suggest that it may enhance bone loss. The purpose of the present study was to investigate the relationship of coffee, coffee types, and caffeine metabolites with periodontitis.

METHODS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2009-2014. Total coffee and different types of coffee consumption were acquired through a 24-h dietary recall. Urinary caffeine metabolites were quantified using high-performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry (HPLC-ESI-MS/MS). The association of coffee, coffee types, and caffeine metabolites with periodontitis and its severity were assessed using multivariable logistic regression.

RESULTS: A total of 3309 eligible participants were included. After adjusting for potential confounding variables, a positive association was observed between coffee consumption (particularly certain types of coffee) and periodontitis. Notably, a positive correlation was also found between total coffee intake and the severity of periodontitis. Additionally, for urinary caffeine metabolites, there was a significant positive association between 1-methyluric acid (1-MU), 1,3-dimethyluric acid (1,3-DMU), 3,7-dimethyluric acid (3,7-DMU), 1,7-dimethylxanthine (1,7-DMX), or 5-actlyamino-6-amino-3-methyluracil (AAMU) and periodontitis, with adjusted odds ratios and 95% confidence intervals of 1.10 (1.02, 1.19), 1.86 (1.05, 3.29), 0.94 (0.90, 0.98), 1.29 (1.03, 1.62), and 1.15 (1.05, 1.26), respectively.

CONCLUSIONS: The present study suggests a positive association of coffee intake (especially certain coffee types) and caffeine metabolites (1-MU, 1,3-DMU, 3,7-DMU, 1,7-DMX, and AAMU) with periodontitis and its severity.

PMID:37815812 | DOI:10.1002/JPER.23-0322

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Nevin Manimala Statistics

Outcome of single-visit root canal treatment with or without MTAD: A randomized controlled clinical trial

Int Endod J. 2023 Oct 10. doi: 10.1111/iej.13986. Online ahead of print.

ABSTRACT

AIM: This study aimed to investigate 2-year changes in periapical trabecular patterns in single-rooted teeth with apical periodontitis using fractal analysis and periapical index (PAI) after root canal treatment performed with or without BioPure MTAD solution.

METHODOLOGY: In this randomized clinical trial, 100 patients were selected and randomized to either the BioPure MTAD or the control groups. Initial periapical radiographs were obtained for each participant before and 2 years after root canal treatment. The region of interest in the periapical lesion around the root apex was selected from the paired periapical radiographs, and then, the fractal dimension (FD) was calculated. With regards to the classification of periapical status, PAI was labelled as “healed” (PAI ≤ 2) or “unhealed” (PAI ≥ 3).

RESULTS: After 24 months, 28 patients did not comply with the follow-up and the data of 72 patients were compared. When the initial and the follow-up PAI scores were compared, the decrease was statistically significant in 33 of 37 teeth (89.2%) and 32 of 35 teeth (91.4%) in the BioPure MTAD and control group, respectively. In both groups, statistically significant increases were observed in FD values after 2 years in all patients (p < .001). No significant difference was found between the two groups amongst decreased PAI scores and increased FD values.

CONCLUSIONS: Root canal treatments with or without BioPure MTAD irrigation contributed to periapical healing in single-visit root canal treatment. Two years after root canal treatment, the extent of the periapical trabecular bone radiographically increased, as the FD and PAI data revealed.

PMID:37815804 | DOI:10.1111/iej.13986