Tag: pubmed

J Esthet Restor Dent. 2023 Aug 25. doi: 10.1111/jerd.13125. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to evaluate the effect of aging and fiber-reinforcement on the color stability, translucency, and microhardness of single-shade resin composites versus multi-shade resin composite.

MATERIALS AND METHODS: Four resin composites (Filtek Z250, Omnichroma, Vittra APS Unique, Zenchroma) were tested. Three subgroups of specimens were prepared for each of the composites: control, polyethylene fiber-reinforcement, and glass fiber-reinforcement- groups (n = 10/per group). The samples were subjected to aging for 10,000 thermal cycles. Color differences (ΔE₀₀ ) were calculated after aging. Relative translucency parameter (RTP₀₀ ) and microhardness values were calculated before and after aging. A two-way analysis of variance and the generalized linear model was used (p < 0.05).

RESULTS: The lowest and highest ΔE₀₀ values were found for Filtek Z250 (0.6 ± 0.2) and Omnichroma resin composites (1.6 ± 0.4), respectively. The ΔE₀₀ value of the polyethylene fiber-reinforcement group (1.2 ± 0.6) was significantly higher than the ΔE₀₀ value of the glass fiber-reinforcement group (1.0 ± 0.4, p < 0.001). The RTP₀₀ value of the glass fiber-reinforcement group (1.92 ± 0.78) was significantly higher than the RTP₀₀ value of the polyethylene fiber-reinforcement group (1.72 ± 0.77, p < 0.001). The highest microhardness values were found in glass fiber-reinforcement group (76.48 ± 17.07, p < 0.001).

CONCLUSION: Single-shade resin composites were more translucent, had higher color change, and lower hardness than multi-shade resin composite. For relative translucency and microhardness, statistical significance was found in the material and fiber type interaction. The glass fiber-reinforcement provided higher translucency, lower color change and higher microhardness values than polyethylene fiber-reinforcement group after aging. Thermocycling had a significant impact on the color stability, translucency parameter, and microhardness of the tested resin composite materials.

CLINICAL SIGNIFICANCE: Single-shade resin composite materials have greater color-changing potential. The glass fiber-reinforcement optimize resin material mechanical properties and color stability more than polyethylene fiber-reinforcement.

PMID:37622399 | DOI:10.1111/jerd.13125

Stat Appl Genet Mol Biol. 2023 Aug 25;22(1). doi: 10.1515/sagmb-2021-0067. eCollection 2023 Jan 1.

ABSTRACT

Permutation tests are widely used for statistical hypothesis testing when the sampling distribution of the test statistic under the null hypothesis is analytically intractable or unreliable due to finite sample sizes. One critical challenge in the application of permutation tests in genomic studies is that an enormous number of permutations are often needed to obtain reliable estimates of very small p-values, leading to intensive computational effort. To address this issue, we develop algorithms for the accurate and efficient estimation of small p-values in permutation tests for paired and independent two-group genomic data, and our approaches leverage a novel framework for parameterizing the permutation sample spaces of those two types of data respectively using the Bernoulli and conditional Bernoulli distributions, combined with the cross-entropy method. The performance of our proposed algorithms is demonstrated through the application to two simulated datasets and two real-world gene expression datasets generated by microarray and RNA-Seq technologies and comparisons to existing methods such as crude permutations and SAMC, and the results show that our approaches can achieve orders of magnitude of computational efficiency gains in estimating small p-values. Our approaches offer promising solutions for the improvement of computational efficiencies of existing permutation test procedures and the development of new testing methods using permutations in genomic data analysis.

PMID:37622330 | DOI:10.1515/sagmb-2021-0067

J Eur Acad Dermatol Venereol. 2023 Sep;37(9):1811-1814. doi: 10.1111/jdv.4396.

ABSTRACT

BACKGROUND: Acrochordons are common and benign skin tumours. A few studies with contradictory results have been reported regarding the abnormalities of carbohydrate and/or lipid metabolisms in patients with acrochordons.

OBJECTIVES: We aimed to determine if the presence of acrochordons could be a marker of diabetes, hyperlipidemia, liver enzyme abnormalities and hypertension by comparing with a control group.

METHODS: A total of 110 patients having two or more acrochordons and age- and gender-matched 110 controls were included in the study. Localization, size and the total number of acrochordons were recorded in the patient group. Fasting plasma glucose (FPG), serum lipids and liver enzyme levels were tested in patient and controls. All participants underwent a standard 2-h oral glucose tolerance test with 75 g glucose. Diabetes mellitus and impaired glucose intolerance were diagnosed according to the American Diabetes Association criteria. Arterial blood pressures were measured in two groups.

RESULTS: A total of 56 patients and 10 controls were diagnosed with overt DM. Thirteen per cent of the patients and 9% of controls had an impaired glucose tolerance test. The difference was statistically significant for the diagnosis of DM and not significant for the impaired glucose tolerance. The mean levels of FPG, total cholesterol, LDL cholesterol, triglyceride, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyltransferase and alkaline phosphatase were significantly higher in patients than those in controls. Furthermore, serum levels of HDL were less in patients. Patients with acrochordons had higher systolic and diastolic blood pressures than controls.

CONCLUSIONS: The results of our study suggest that acrochordons may represent a cutaneous sign for impaired carbohydrate or lipid metabolism, liver enzyme abnormalities and hypertension.

PMID:37622223 | DOI:10.1111/jdv.4396

Anal Methods. 2023 Aug 24;15(33):4119-4133. doi: 10.1039/d3ay00711a.

ABSTRACT

The Standard Practices for Infrared Multivariate Quantitative Analysis (ASTM E1655) provide a guide for determining physicochemical properties of materials using multivariate calibration techniques applied to chemical sources that have high multicollinearity and correlated information. Partial least squares (PLS) is the most widely used multivariate regression method due to its excellent prediction capabilities and easy optimization. Initially applied to chromatographic data, PLS has also shown great results in near-infrared (NIR) and mid-infrared (MIR) spectroscopies. However, complex chemical matrices with low correlation may not be efficiently modeled using PLS or other multivariate analyses limited by grouping similar information (such as latent variables or principal components). Therefore, this study aims to evaluate the multicollinearity of different analytical techniques, such as high-temperature gas chromatography (HTGC), NIR, MIR, hydrogen nuclear magnetic resonance (¹H NMR), carbon-13 nuclear magnetic resonance (¹³C NMR), and Fourier transform ion cyclotron resonance mass spectrometry coupled to the electrospray source in positive and negative ionization modes (ESI(±)FT-ICR). Descriptive statistics (coefficient of determination, R²) and principal component analysis (PCA) were used to identify the distribution of correlated information. Results showed that NIR and MIR spectroscopies exhibited a higher percentage of correlated variables, while ¹³C NMR and ESI(±)FT-ICR MS had more discrete profiles. Therefore, PLS development may be more effectively applied to NIR, MIR, and ¹H NMR data, while ¹³C NMR and mass spectra may require other algorithms or variable selection methods in combination with PLS.

PMID:37622198 | DOI:10.1039/d3ay00711a

Dela J Public Health. 2023 Jun 12;9(2):134-140. doi: 10.32481/djph.2023.06.025. eCollection 2023 Jun.

ABSTRACT

OBJECTIVE: Assess differences in postpartum contraceptive use and pregnancy intentions in women with a recent live birth who delivered a neonatal abstinence syndrome (NAS) affected infant.

STUDY DESIGN: Using linked Delaware Birth Certificate Data, Hospital Discharge Data and PRAMS data for 2012-2018 (n = 6,358 singleton births), we assessed differences among women with and without a delivery of an NAS-affected infant by effective postpartum contraceptive use and pregnancy intentions. We calculated prevalence estimates, crude (cPOR), and prevalence odds ratios adjusted (aPOR) for NAS by maternal characteristics. We used alpha ≤ 0.05 to determine statistical significance.

RESULTS: Prevalence of NAS was 2.2% (95% CI: 1.8 – 2.6). Effective postpartum contraceptive use was 60.4% (95% CI: 51.9-69.0) among women with delivery of an NAS-affected infant compared with a non-NAS delivery 56.4% (95% CI: 55.1-57.8%) and cPOR was 1.2 (95% CI: 0.8-1.7). Prevalence of intended pregnancy was 26.5% (95% CI: 18.9-34.0) among women with delivery of an NAS-affected infant compared with a non-NAS delivery 53.0% (95% CI: 51.7-54.4) and cPOR was 0.3 (95% CI: 0.2-0.5). After adjustment, women who delivered an NAS-affected infant had lower odds (aPOR = 0.5; 95% CI: 0.3-0.8) of indicating that their pregnancy was intended as compared to those who did not deliver an NAS-affected infant.

CONCLUSIONS: Our study found no association between delivery of an NAS-affected infant and use of an effective postpartum contraceptive method. However, we found that pregnancy intendedness was lower among women delivering an NAS-affected infant compared with women without an NAS delivery even after accounting for maternal characteristics.

PMID:37622155 | PMC:PMC10445619 | DOI:10.32481/djph.2023.06.025

Front Big Data. 2023 Aug 8;6:1198097. doi: 10.3389/fdata.2023.1198097. eCollection 2023.

ABSTRACT

The proliferation of atmospheric datasets is a key outcome from the continued development and advancement of our collective scientific understanding. Yet often datasets describing ostensibly identical processes or atmospheric variables provide widely varying results. As an example, we analyze several datasets representing rainfall over Nepal. We show that estimates of extreme rainfall are highly variable depending on which dataset you choose to look at. This leads to confusion and inaction from policy-focused decision makers. Scientifically, we should use datasets that sample a range of creation methodologies and prioritize the use of data science techniques that have the flexibility to incorporate these multiple sources of data. We demonstrate the use of a statistically interpretable data blending technique to help discern and communicate a consensus result, rather than imposing a priori judgment on the choice of dataset, for the benefit of policy decision making.

PMID:37622101 | PMC:PMC10446837 | DOI:10.3389/fdata.2023.1198097

Proc Priv Enhanc Technol. 2023 Jul;2023(4):5-20. doi: 10.56553/popets-2023-0095.

ABSTRACT

Location-based services have brought significant convenience to people in their daily lives, and the collected location data are also in high demand. However, directly releasing those data raises privacy and liability (e.g., due to unauthorized distribution of such datasets) concerns since location data contain users’ sensitive information, e.g., regular moving patterns and favorite spots. To address this, we propose a novel fingerprinting scheme that simultaneously identifies unauthorized redistribution of location datasets and provides differential privacy guarantees for the shared data. Observing data utility degradation due to differentially-private mechanisms, we introduce a utility-focused post-processing scheme to regain spatiotemporal correlations between points in a location trajectory. We further integrate this post-processing scheme into our fingerprinting scheme as a sampling method. The proposed fingerprinting scheme alleviates the degradation in the utility of the shared dataset due to the noise introduced by differentially-private mechanisms (i.e., adds the fingerprint by preserving the publicly known statistics of the data). Meanwhile, it does not violate differential privacy throughout the entire process due to immunity to post-processing, a fundamental property of differential privacy. Our proposed fingerprinting scheme is robust against known and well-studied attacks against a fingerprinting scheme including random flipping attacks, correlation-based flipping attacks, and collusions among multiple parties, which makes it hard for the attackers to infer the fingerprint codes and avoid accusation. Via experiments on two real-life location datasets and two synthetic ones, we show that our scheme achieves high fingerprinting robustness and outperforms existing approaches. Besides, the proposed fingerprinting scheme increases data utility for differentially-private datasets, which is beneficial for data analyzers.

PMID:37622059 | PMC:PMC10449389 | DOI:10.56553/popets-2023-0095

Int J Exerc Sci. 2023 May 1;16(3):513-524. eCollection 2023.

ABSTRACT

Cell swelling caused by resistance training is proposed to provide an anabolic stimulus for muscle growth and it is believed that these effects are heightened with the use of low loads. The purpose of this study was to compare the acute effects of two volume-equated resistance training (RT) protocols, low-load (LL) versus high-load (HL), on elbow flexor muscles thickness, arm circumference, and blood lactate concentration in well-trained individuals. Eight resistance-trained males performed the following two RT protocols involving unilateral elbow flexion of the dominant arm: i) LL, four sets with 50% 1 repetition-maximum [1 RM] and ii) HL, ten sets with 85% 1 RM until failure, and equated volume. Pre- and post-session measurements included muscle thickness of the elbow flexors (biceps brachii and brachialis), upper arm circumference, and blood lactate concentration. Significant pre- to post-session increases were found in both protocols for muscle thickness (F (1, 28) = 11.74, p = 0.0019), and blood lactate (F (1, 28) = 35.55, p < 0.0001); no statistically significant differences were observed between conditions, however, the magnitude of increases favored LL. Significant between-condition differences favoring LL were observed for total repetitions (p = 0.007), time under tension (p = 0.007), and training density (p = 0.007). These results suggest that LL training promotes superior post-session increases in muscle thickness, indicating that RT protocols with longer times under tension and densities are beneficial when the goal is to promote acute cell swelling.

PMID:37622037 | PMC:PMC10446953

Yonago Acta Med. 2023 Aug 12;66(3):375-379. doi: 10.33160/yam.2023.08.010. eCollection 2023 Aug.

ABSTRACT

BACKGROUND: Robotic distal pancreatectomy (RDP) has a better or comparable surgical outcome when compared with laparoscopic distal pancreatectomy (LDP). However, whether the surgical outcome for these procedures in local, low-volume hospitals are comparable with those of the typically larger centers described in published reports remains unclear.

METHODS: This study enrolled 48 patients who underwent either RDP or LDP between August 2012 and April 2023. Data were retrospectively analyzed to evaluate the short-term surgical outcomes of RDP versus LDP in our hospital, which is a low-volume center.

RESULTS: The use of stapling with reinforcement in RDP was significantly higher than in LDP, and the postoperative hospital stay for RDP was significantly shorter than for LDP. Except for these two variables, there were no statistically significant differences between RDP and LDP in preoperative, intraoperative, or postoperative patient characteristics.

CONCLUSION: RDP can be performed as safely and effectively as LDP in a low-volume hospital located in a sparsely populated area.

PMID:37621978 | PMC:PMC10444586 | DOI:10.33160/yam.2023.08.010

Front Psychiatry. 2023 Aug 9;14:1168572. doi: 10.3389/fpsyt.2023.1168572. eCollection 2023.

ABSTRACT

BACKGROUND: There are contradictory research findings regarding whether individuals with Autism Spectrum Disorders (ASDs) are more or less likely to commit crimes. The aims of the current study were to: (1) Describe psychiatric and crime-related characteristics of a large group of offenders with ASD who had undergone a Forensic Psychiatric Investigation (FPI). (2) Identify clinical subgroups among this group of offenders. (3) Investigate associations between the identified clinical subgroups and (a) psychiatric comorbidity (b) types of crimes and (c) criminal responsibility.

METHODS: The study cohort consists of all subjects (n = 831) who received an ASD-diagnosis at an FPI between 2002 and 2018 in Sweden. Descriptive and clinical, as well as crime related variables were obtained from the FPIs. Non-parametric (Pearson χ², Fisher’s exact and Mann-Whitney U-test) inferential statistics were used for analyses of between-group differences and effect sizes were reported. A Latent Class Analysis was used to identify homogeneous subgroups (or classes) from categorical characteristics.

RESULTS: The cohort consisted of 708 men and 123 women, aged 18 to 74 yrs. Two-thirds (66.7%) of the cohort had at least one other psychiatric diagnosis, the most prevalent was substance use disorder (SUD). A severe mental disorder, equivalent to lack of criminal responsibility, was most often reported among offenders with a comorbid diagnosis of schizophrenia spectrum disorder. The most common type of crime was violent crime. Three person-oriented clinical subgroups were identified; (1) ASD with few other diagnoses; (2) ASD and very high levels of SUDs, plus moderate levels of other externalizing disorders and psychotic psychopathology and (3) ASD and moderate to high levels of personality disorders (other than ASPD) and SUDs.

CONCLUSION: Our results highlight the importance of all parts of the CJS to be prepared to handle offenders with ASD, often with high levels of additional psychiatric problems. Traditional approaches in treatment or other psychosocial interventions for ASD may need to be adapted to at least three general clinical profiles- one with mainly neurodevelopmental problems, one with a spectrum of externalizing problems and one with complex personality related difficulties.

PMID:37621970 | PMC:PMC10444990 | DOI:10.3389/fpsyt.2023.1168572