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Nevin Manimala Statistics

Characterization of Schiff base self-healing hydrogels by dynamic speckle pattern analysis

Sci Rep. 2024 Nov 14;14(1):27950. doi: 10.1038/s41598-024-79499-5.

ABSTRACT

Self-healing hydrogels are emerging materials capable of restoring functionality after damage, making them highly suitable for biomedical applications, such as tissue engineering, wound healing, and drug delivery. In this study, we synthesize and characterize a novel biodegradable, conductive, and self-healing hydrogel. The synthesis is based on a Schiff base formed between gelatin and hyaluronic acid, and the dynamic reversible Schiff base bond provides the self-healing property. To characterize and assess the self-healing behavior of the hydrogel, dynamic speckle pattern (DSP) analysis is introduced as a non-destructive, non-contact, and easy-to-implement method. Speckle patterns are formed upon scattering of laser light from a diffusive matter and includes a huge overall information about the sample, to be extracted by statistical processing. DSP analysis is employed to monitor the self-healing process of the hydrogel at both macroscopic and microscopic scales. Experimental procedure involve in situ acquisition of speckle patterns over time under controlled environmental conditions, followed by statistical analysis to evaluate the internal dynamics of the healing process. Several statistical parameters are computed for real-time monitoring of the self-healing property of the hydrogel. The findings, on the one hand, underscore the potential of Schiff base hydrogels in advanced biomedical applications where self-healing properties are critical for sustained performance and longevity. On the other hand, the introduced analysis method shows its potential to serve as an effective approach for biomaterial characterization.

PMID:39543160 | DOI:10.1038/s41598-024-79499-5

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Nevin Manimala Statistics

Systematic assessment of the achieved emission reductions of carbon crediting projects

Nat Commun. 2024 Nov 14;15(1):9562. doi: 10.1038/s41467-024-53645-z.

ABSTRACT

Carbon markets play an important role in firms’ and governments’ climate strategies. Carbon crediting mechanisms allow project developers to earn carbon credits through mitigation projects. Several studies have raised concerns about environmental integrity, though a systematic evaluation is missing. We synthesized studies relying on experimental or rigorous observational methods, covering 14 studies on 2346 carbon mitigation projects and 51 studies investigating similar field interventions implemented without issuing carbon credits. The analysis covers one-fifth of the credit volume issued to date, almost 1 billion tons of CO2e. We estimate that less than 16% of the carbon credits issued to the investigated projects constitute real emission reductions, with 11% for cookstoves, 16% for SF6 destruction, 25% for avoided deforestation, 68% for HFC-23 abatement, and no statistically significant emission reductions from wind power and improved forest management projects. Carbon crediting mechanisms need to be reformed fundamentally to meaningfully contribute to climate change mitigation.

PMID:39543137 | DOI:10.1038/s41467-024-53645-z

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Nevin Manimala Statistics

Patterns of partisan toxicity and engagement reveal the common structure of online political communication across countries

Nat Commun. 2024 Nov 14;15(1):9560. doi: 10.1038/s41467-024-53868-0.

ABSTRACT

Existing studies of political polarization are often limited to a single country and one form of polarization, hindering a comprehensive understanding of the phenomenon. Here we investigate patterns of polarization online across nine countries (Canada, France, Germany, Italy, Poland, Spain, Turkey, UK, USA), focusing on the structure of political interaction networks, the use of toxic language targeting out-groups, and how these factors relate to user engagement. First, we show that political interaction networks are structurally polarized on Twitter (currently X). Second, we reveal that out-group interactions, defined by the network, are more toxic than in-group interactions, indicative of affective polarization. Third, we show that out-group interactions receive lower engagement than in-group interactions. Finally, we identify a common ally-enemy structure in political interactions, show that political mentions are more toxic than apolitical mentions, and highlight that interactions between politically engaged accounts are limited and rarely reciprocated. These results hold across countries and represent a step towards a stronger cross-country understanding of polarization.

PMID:39543121 | DOI:10.1038/s41467-024-53868-0

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Nevin Manimala Statistics

Behavioral analysis in mice: More precise results despite fewer animals

Researchers are utilizing artificial intelligence to analyze the behavior of laboratory mice more efficiently and reduce the number of animals in experiments.
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Nevin Manimala Statistics

Surgical management of symptomatic recurrent Rathke’s cleft cysts: A systematic review and individual-participant data meta-analysis

J Clin Neurosci. 2024 Nov 13;130:110917. doi: 10.1016/j.jocn.2024.110917. Online ahead of print.

ABSTRACT

The optimal management of symptomatic recurrent Rathke’s cleft cysts (RCCs) is unclear. Here, we compared the outcomes of various surgical approaches for symptomatic recurrent RCCs. PubMed and Embase were systematically reviewed for studies that reported individual-participant data on outcomes after surgical treatment for symptomatic recurrent RCCs presenting with headache and/or visual field defect. The primary outcome was symptomatic recurrence, and the secondary outcome was postoperative complications. Subgroup analyses were performed based on the number of recurrences, duration since initial surgery, previous treatment, and symptoms of recurrence. Of the 713 studies screened, 14 studies (30 recurrences in 24 patients) were included in the meta-analysis. Cyst wall resection was the most common treatment (n = 17, 56.7 %), followed by drainage with intrasellar stent insertion (n = 7, 23.3 %) and resection with intracystic bleomycin (n = 6, 20.0 %). Most of the cases were first recurrences (56.7 %, n = 17). The mean (SD) duration between the initial treatment and onset of symptomatic recurrence was 3.0 (3.6) years. Over a median [IQR] follow-up period of 1.2 [0.4, 2.5] years, patients who underwent cyst wall resection had a significantly higher incidence of symptomatic recurrence at 58.8 %, compared to a 0 % symptomatic recurrence rate in patients treated with drainage and intrasellar stent insertion or resection with intracystic bleomycin (p = 0.014). Patients who underwent cyst wall resection also had the highest risk of symptomatic recurrence on subgroup analysis, though this was statistically significant only among patients who underwent cyst wall resection as their preceding treatment (p = 0.021). There were no significant differences in postoperative complication rates between the treatment arms. In conclusion, for patients with symptomatic recurrent RCCs presenting with headache and/or visual field defects, drainage with intrasellar stent insertion and intracystic bleomycin may be superior to cyst wall resection alone. This approach may reduce the risk of another symptomatic recurrence within one year.

PMID:39541655 | DOI:10.1016/j.jocn.2024.110917

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Nevin Manimala Statistics

Neurobiological correlates of comorbidity in disorders across the affective disorders-psychosis spectrum

J Psychiatr Res. 2024 Oct 5;180:462-472. doi: 10.1016/j.jpsychires.2024.09.052. Online ahead of print.

ABSTRACT

Disorders across the affective disorders-psychosis spectrum such as major depressive disorder (MDD), bipolar disorder (BD), schizoaffective disorder (SCA), and schizophrenia (SCZ), have overlapping symptomatology and high comorbidity rates with other mental disorders. So far, however, it is largely unclear why some of the patients develop comorbidities. In particular, the specific genetic architecture of comorbidity and its relationship with brain structure remain poorly understood. Therefore, we performed systematic analyses of clinical, genetics and brain structural measures to gain further insights into the neurobiological correlates of mental disorder’s comorbidity. We investigated a sub-sample of the Marburg/Münster Cohort Study (MACS), comprising DSM-IV-TR diagnosed patients with a single disorder in the affective disorders-psychosis spectrum (SD, n = 470, MDD; BD; SCA; SCZ), with additional mental disorder’s comorbidities (COM, n = 310), and healthy controls (HC, n = 649). We investigated group differences regarding a) the global severity index (based on SCL90-R), b) a cross-disorder polygenic risk score (PRS) calculated with PRS-continuous shrinkage (PRS-CS) using the summary statistics of a large genome-wide association study across mental disorders, and c) whole brain grey matter volume (GMV). The SCL90-R score significantly differed between groups (COM > SD > HC). While SD and COM did not differ in cross-disorder PRS and GMV, SD and COM versus HC displayed increased cross-disorder PRS and decreased GMV in the bilateral insula, the left middle temporal, the left inferior parietal, and several frontal gyri. Our results thus suggest that disorders in the affective disorders-psychosis spectrum with or without additional comorbidities differ in self-reported clinical data, but not on genetic or brain structural levels.

PMID:39541637 | DOI:10.1016/j.jpsychires.2024.09.052

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Nevin Manimala Statistics

Structural brain connectivity does not associate with childhood trauma in individuals with schizophrenia

J Psychiatr Res. 2024 Nov 7;180:451-461. doi: 10.1016/j.jpsychires.2024.10.030. Online ahead of print.

ABSTRACT

BACKGROUND: Schizophrenia is a brain dysconnectivity disorder. However, it is not well understood whether the experience of childhood trauma (CT) affects dysconnectivity in individuals with schizophrenia (SZ). Using a network-based approach, we examined whether self-reported CT would explain additional variance compared to whole-brain topology and structural connectivity changes in SZ versus healthy controls (HC).

MATERIAL AND METHODS: CT was assessed in 51 SZ (mean age ± standard deviation 44 ± 11 years) and 140 HC (34.0 ± 12 years). Structural brain networks were constructed from T1-weighted MR and diffusion-MRI scans using non-tensor based tractography. Group differences in whole-brain topology and permutation-based statistics were examined and corrected for age and sex.

RESULTS: SZ showed reductions in efficiency, strength, clustering and density (p < 0.01) as well as increases in path length (F(range) = 4.71-18.1, p < 0.03) when compared to HC. We also observed hypoconnectivity in a subnetwork of frontotemporal, frontoparietal and occipital regions in SZ relative to HC (T > 4.0, p < 0.001). However, we did not find that high CT levels were related to structural network differences or structural connectivity changes in SZ.

CONCLUSIONS: CT did not impact on topology or subnetwork connectivity changes in SZ. High CT levels were also not associated with any differences in network organisation irrespective of diagnosis. However, our findings confirm that SZ showed both network-level reductions and increases in a subnetwork. These findings suggest that the patterns of neuroanatomical dysconnectivity in established schizophrenia may not be influenced by CT. Future studies are needed to investigate the association between CT and structural dysconnectivity in schizophrenia.

PMID:39541636 | DOI:10.1016/j.jpsychires.2024.10.030

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Nevin Manimala Statistics

Relationship between social support, self-esteem and sense of masculinity among geriatric Patients with Prostatic Cancer

Geriatr Nurs. 2024 Nov 13;61:6-12. doi: 10.1016/j.gerinurse.2024.10.079. Online ahead of print.

ABSTRACT

BACKGROUND: Most geriatric patients with prostate cancer experience not only external discomfort but also negative psychological consequences such as reduced feelings of masculinity and diminished self-esteem. Social support is a protective factor for dealing with and adapting to these stressors, which enhances quality of life.

AIM: To identify the relationship between social support, self-esteem, and sense of masculinity among geriatric patients with PC.

METHOD: The study is a cross-sectional survey adopting a descriptive correlational design. A convenience sample of one hundred ten (110) geriatric patients diagnosed with PC attending the oncology and urology outpatient clinics of Damanhur Oncology Center in El-Beharia Governorate, Egypt. Four tools were used: subjects’ basic information, The Personal Resources Questionnaire (PRQ-2000), the Rosenberg Self-esteem Scale (RSE), and The Masculine Self-esteem scale (MSES).

RESULTS: 74.6 % of the studied geriatric patients had high levels of social support, 86.4 % had moderate levels of self-esteem, and 55.4 % had low masculine self-esteem. Also, the relationship was a statistically significant between social support and self-esteem (p = .002), between social support and sense of masculinity (p = .038), and between self-esteem and sense of masculinity (p = .029).

CONCLUSION: social Support and self-esteem were significant predictors of high sense of masculinity with social support positively influencing and self-esteem negatively influencing the sense of masculinity.

PMID:39541633 | DOI:10.1016/j.gerinurse.2024.10.079

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Nevin Manimala Statistics

Diagnostic accuracy of ultrasound classifications – O-RADS US v2022, O-RADS US v2020, and IOTA SR – in distinguishing benign and malignant adnexal masses: Enhanced by combining O-RADS US v2022 with tumor marker HE4

Eur J Radiol. 2024 Nov 9;181:111824. doi: 10.1016/j.ejrad.2024.111824. Online ahead of print.

ABSTRACT

PURPOSE: To assess the diagnostic accuracy of O-RADS Ultrasound (O-RADS US) v2022, O-RADS US v2020, and IOTA SR, and to evaluate whether combining imaging findings with tumor markers enhances the diagnosis of adnexal masses.

METHODS: This retrospective study, conducted between January 2018 and December 2023, included consecutive women with adnexal masses scheduled for surgery. Histopathologic results served as the reference standard. Risk factors for malignancy were identified using univariate and multivariate logistic regression analyses. ROC analysis was employed to assess diagnostic test performances, while Kappa statistics evaluated inter-reviewer agreement.

RESULTS: A total of 613 women (mean age, 49.39 ± 12.81 years; range, 16-87 years) with pelvic masses were included. O-RADS US v2022 exhibited comparable performance to O-RADS US v2020, with areas under the curve (AUC) values of 0.940 and 0.937, respectively (p = 0.02, exceeding the adjusted significance level of 0.0167). Both O-RADS models outperformed the IOTA SR, which had an AUC of 0.862 (p < 0.0001 for both comparisons). Multivariate analysis revealed that O-RADS US v2022 [OR 9.148, 95 %CI (4.912-17.039), p < 0.001] and HE4 [OR 1.023, 95 %CI (1.010-1.036), p = 0.001] were significant factors associated with malignant lesions. Furthermore, the combination of O-RADS US v2022 and HE4 demonstrated an AUC of 0.98, significantly outperforming either O-RADS US v2022 alone (AUC = 0.94) or HE4 alone (AUC = 0.92). The Kappa values for O-RADS US v2022, O-RADS US v2020 and IOTA SR were 0.933, 0.891 and 0.923, respectively, indicating substantial inter-reader agreement.

CONCLUSIONS: The O-RADS US v2022 demonstrates comparable performance in predicting ovarian malignant lesions when compared to O-RADS US v2020, while surpassing the performance of IOTA SR. Additionally, the combination of O-RADS US v2022 and HE4 provides improved diagnostic effectiveness over using either O-RADS US v2022 or HE4 alone.

PMID:39541614 | DOI:10.1016/j.ejrad.2024.111824

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Nevin Manimala Statistics

Discrimination of thrombus types in ischemic stroke using Dual-Energy CT

Eur J Radiol. 2024 Nov 10;181:111832. doi: 10.1016/j.ejrad.2024.111832. Online ahead of print.

ABSTRACT

OBJECTIVE: This study explores the clinical utility of dual-energy computed tomography (DECT) in discriminating thrombus types in ischemic stroke.

METHODS: Patients with acute ischemic stroke who underwent brain DECT non-contrast scanning and brain CT perfusion (CTP) before thrombectomy were included, and the thrombus composition was analyzed by postoperative pathology. DECT data was conducted to reconstruct polychromatic images and effective atomic number images. Computed tomography (CT) values, effective atomic numbers, and spectral curve slopes of the thrombus were measured and calculated. Thrombus attenuation increase was obtained from CTP data. Parameters were compared between red blood cell (RBC)-dominant thrombi and fibrin/platelet (F/P)-dominant thrombi. Thresholds, sensitivity, specificity, and area under the curve (AUC) were analyzed to distinguish these thrombi. The associations between DECT parameters and proportion of RBCs were analyzed by Spearman’s correlation.

RESULTS: Pathological analysis of 42 enrolled patients revealed 24 cases of RBC-dominant thrombi and 18 cases of F/P-dominant thrombi. Effective atomic numbers, spectral curve slopes, and polychromatic images CT values were significantly higher in the RBC-dominant thrombi group compared with the F/P-dominant thrombi group. Although the average thrombus attenuation increase was greater in the F/P-dominant thrombi group, this difference was not statistically significant. Among the DECT parameters, polychromatic images CT values had the greatest AUC at 0.924 (0.848-0.999) for discriminating RBC-dominant and F/P-dominant thrombi, with a threshold of 59 HU, sensitivity of 79.2 %, and specificity of 94.4 %. The combined diagnostic AUC reached 0.938 (0.863-1.012), with 87.5 % sensitivity and 94.4 % specificity. DECT polychromatic images CT values, effective atomic numbers, and spectral curve slopes were significantly correlated with proportion of RBCs (r = 0.673, 0.574, and 0.571, all p < 0.01).

CONCLUSION: DECT non-contrast scan parameters are associated with thrombus composition, which could be effective in distinguishing between RBC-dominant and F/P-dominant thrombi.

PMID:39541613 | DOI:10.1016/j.ejrad.2024.111832