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Nevin Manimala Statistics

Statistical approaches to Raman imaging: principal component score mapping

Anal Methods. 2024 Apr 17. doi: 10.1039/d4ay00171k. Online ahead of print.

ABSTRACT

In this research, Raman imaging was employed to map various samples, and the resulting data were analyzed using a suite of automated tools to extract critical information, including intensity and signal-to-noise ratio. The acquired spectra were further processed to identify similarities and investigate patterns using principal component analysis. The objective of this study was to establish guidelines for investigating Raman imaging results, particularly when dealing with large datasets comprising thousands of relatively low-intensity spectra. The overall quality of the results was assessed, and representative locations were determined based on the main Raman bands. While automated software solutions are insufficient for removing baselines and fitting the data, statistical analysis proved to be a powerful tool for extracting valuable information directly from the raw spectral data. This approach enables the extraction of as much information as possible from large arrays of spectral data, even in complex cases where automated software may fall short. The findings of this study contribute to enhancing the analysis and interpretation of Raman imaging results, providing researchers with a robust methodology for extracting meaningful insights from complex datasets, reducing the amount of effort required during data interpretation and analysis.

PMID:38629136 | DOI:10.1039/d4ay00171k

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Nevin Manimala Statistics

Optimum display luminance and contrast polarity of desktop head-up display under office lighting level based on visual ergonomic study

Ergonomics. 2024 Apr 17:1-13. doi: 10.1080/00140139.2024.2339439. Online ahead of print.

ABSTRACT

New type desktop head-up display (HUD) can reduce visual fatigue and protect vision through long viewing distance. In this study, participants evaluated visual performance, fatigue, and discomfort of desktop HUD under two contrast polarity (N = 36) and five display luminance levels (N = 21). A positive polarity advantage was found over negative in visual fatigue and discomfort (p < .05). Statistically significant effect of luminance was found on visual performance, fatigue, and discomfort (p < .05). The calculated optimum display luminance by the proposed inverted-U fitted model was 153 cd/m2 under 300 lx, higher than that of traditional desktop displays. It is speculated that higher luminance is required to offset the reduction in contrast sensitivity due to smaller target angular size, which caused by longer viewing distance. These findings suggest that positive polarity and 153 cd/m2 can be used to improve performance and avoid fatigue and discomfort when utilising desktop HUD under 300 lx.

PMID:38629123 | DOI:10.1080/00140139.2024.2339439

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Nevin Manimala Statistics

Nature as Medicine and Classroom: Evaluating an Innovative, Outdoor Course for Medical and Dental Students

Glob Adv Integr Med Health. 2024 Apr 14;13:27536130241246788. doi: 10.1177/27536130241246788. eCollection 2024 Jan-Dec.

ABSTRACT

BACKGROUND: There is a growing, global awareness and recognition of the important, interdependent relationships between our natural world and human health. Several contemporary health organizations have placed calls to action and emphasize an urgent need for collaboration and interdisciplinary research, education, and clinical work to address the increasing degradation of our planetary and human health. With more research dedicated to nature’s health impacts, health professions schools would benefit by including such training in their programs while also cultivating a comprehensive mind-body health perspective to support both the health of student practitioners and their future patients.

OBJECTIVE: The present program evaluation investigates a five-day outdoor mini-course covering nature-based health techniques at a medical and dental school in the American Northeast. This unique outdoor course combines nature, creativity, and reflection within the context of modern medicine.

METHODS: A concurrent mixed-method design using descriptive statistics, quantitative and qualitative data from students’ anonymous final course evaluations and final reflection projects are evaluated.

RESULTS: Data suggests that students benefitted from their experience during this five-day course. Students provided feedback reinforcing the enjoyment and transformative outcomes gleaned from the course experiences. Students entered the course describing feeling stressed, overwhelmed, and overextended, not uncommon for learners in medical and dental school, and completed the course describing the acquisition of applicable skills, increased attention and mindfulness, creativity, and connection to the natural world.

CONCLUSIONS: Students described a positive experience of the course. Several areas of personal and professional development were also described, such as improvements within cognitive domains, enhanced connection with nature, others, and themselves, increased mindfulness, and overall improved well-being. Findings have implications for medical and dental programs on how such innovative training may lean into the work of nature-based care to provide for the whole person.

PMID:38629109 | PMC:PMC11020736 | DOI:10.1177/27536130241246788

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Nevin Manimala Statistics

Phased nanopore assembly with Shasta and modular graph phasing with GFAse

Genome Res. 2024 Apr 16. doi: 10.1101/gr.278268.123. Online ahead of print.

ABSTRACT

Reference-free genome phasing is vital for understanding allele inheritance and the impact of single-molecule DNA variation on phenotypes. To achieve thorough phasing across homozygous or repetitive regions of the genome, long-read sequencing technologies are often used to perform phased de novo assembly. As a step toward reducing the cost and complexity of this type of analysis, we describe new methods for accurately phasing Oxford Nanopore Technologies (ONT) sequence data with the Shasta genome assembler and a modular tool for extending phasing to the chromosome scale called GFAse. We test using new variants of ONT PromethION sequencing, including those using proximity ligation, and show that newer, higher accuracy ONT reads substantially improve assembly quality.

PMID:38627094 | DOI:10.1101/gr.278268.123

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Nevin Manimala Statistics

Defining “High Recurrence” of Depressive Episodes for Predicting Diagnostic Conversion from Major Depressive Disorder to Bipolar Disorder: A 5-year Retrospective Study

Clin Psychopharmacol Neurosci. 2024 May 31;22(2):364-369. doi: 10.9758/cpn.24.1183.

ABSTRACT

OBJECTIVE: This study determined the threshold for recurrent depressive episodes that predicted conversion from major depressive disorder (MDD) to bipolar disorder (BD).

METHODS: We retrospectively reviewed the medical records of 296 patients diagnosed with MDD for a minimum of 5 years in two university hospitals. We examined their the Diagnostic and Statistical Manual of Mental Disorders, 5th edition diagnoses and detailed clinical information at the initial admission and yearly assessments after discharge to establish the threshold for recurrent depressive episodes indicating a risk of diagnostic conversion from MDD to BD. Optimal cut-offs were derived using receiver operating characteristic (ROC) curves.

RESULTS: ROC curve analysis revealed that more than four recurrent depressive episodes was indicative of potential diagnostic conversion from MDD to BD (area under the curve, 0.604; sensitivity, 0.353; specificity, 0.855; positive predictive value, 0.421; negative predictive value, 0.816).

CONCLUSION: These findings suggest that the best predictor of conversion from MDD to BD is more than four recurrent depressive episodes. Our findings have the potential to enhance diagnostic accuracy and treatment efficiency. To validate our results, longitudinal prospective studies are necessary.

PMID:38627083 | DOI:10.9758/cpn.24.1183

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Nevin Manimala Statistics

Transdiagnostic Associations between Anger Hostility and Chemokine Interferon-gamma Inducible Protein 10

Clin Psychopharmacol Neurosci. 2024 May 31;22(2):285-294. doi: 10.9758/cpn.23.1091. Epub 2023 Jul 17.

ABSTRACT

OBJECTIVE: Many psychiatric disorders are linked to low grade systemic inflammation as measured by systemic cytokine levels. Exploration of cytokines and immune activity and their role in psychiatric symptoms may inform pathobiology and treatment opportunities. The aim of this study is to explore if there are associations between cytokines and psychiatric symptom clusters. Comparison between patients regularly using and those not using psychotropic medication is also conducted.

METHODS: This was a cross sectional naturalistic study with 132 participants from a general open inpatient psychiatric ward at the Nordland Hospital Trust, Norway. Serum levels of 28 different cytokines were assessed. Psychiatric symptoms the last week were assessed by a self-rating scale (Symptom check list, SCL-90-R) and grouped in defined clusters. Multiple linear regression model was used for statistical analyses of associations between levels of cytokines and symptoms, adjusting for possible confounding factors.

RESULTS: We found a positive association (p = 0.009) between the chemokine interferon-gamma inducible protein 10 (CXCL 10; IP-10) and the anger hostility cluster. No associations were found between the other symptom clusters and cytokines. IP-10 and the anger hostility cluster were positively associated (p = 0.002) in the subgroup of patients using psychotropic medication, not in the subgroup not using psychotropic medication.

CONCLUSION: Our analyses revealed a significant positive association between the symptom cluster anger hostility in SCL-90-R and the chemokine IP-10 in the subgroup of patients using psychotropic medications.

PMID:38627075 | DOI:10.9758/cpn.23.1091

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Nevin Manimala Statistics

Comparison of singleton and twin birth weight reference percentile curves by gestational age and sex in extremely preterm infants: a population-based study

BMJ Paediatr Open. 2024 Apr 16;8(1):e002502. doi: 10.1136/bmjpo-2024-002502.

ABSTRACT

BACKGROUND: With the increasing survival rate of smaller newborns and twins, previous growth curves may not accurately assess the growth of extremely preterm infants (EPIs). Our study aimed to establish birth weight percentile curves for singletons and twins in EPIs from China and the USA and compare the differences between them.

METHODS: In China, EPIs were from 31 provinces, from 2010 to 2021. The collected information was sex, gestational age, birth weight, singletons and twins. We used the generalised additive models for location scale and shape method to construct the birth weight percentile curves by gestational age and sex for EPIs. The National Vital Statistics System database from 2016 to 2021 was also analysed. We compared the differences between the 50th birth weight percentile curves of the two databases.

RESULTS: We identified 8768 neonates in China (5536 singletons and 3232 twins) and 121 933 neonates in the USA (97 329 singletons and 24 604 twins). We established the 3rd, 10th, 25th, 50th, 75th, 90th and 97th birth weight reference curves for China and the USA. The results showed that males had higher birth weights than females. In China, for the same gestational age and sex, birth weights in singletons and twins were found to be similar, though singleton males born in China had slightly higher birth weights than male twins. In the USA, birth weights were also similar for females and males, with the same gestational age in singletons and twins.

CONCLUSION: We established birth weight reference percentile curves by gestational age and sex for singletons and twins among EPIs in China and the USA.

PMID:38627060 | DOI:10.1136/bmjpo-2024-002502

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Nevin Manimala Statistics

Association of reviewer experience with discriminating human-written versus ChatGPT-written abstracts

Int J Gynecol Cancer. 2024 Apr 16:ijgc-2023-005162. doi: 10.1136/ijgc-2023-005162. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine if reviewer experience impacts the ability to discriminate between human-written and ChatGPT-written abstracts.

METHODS: Thirty reviewers (10 seniors, 10 juniors, and 10 residents) were asked to differentiate between 10 ChatGPT-written and 10 human-written (fabricated) abstracts. For the study, 10 gynecologic oncology abstracts were fabricated by the authors. For each human-written abstract we generated a ChatGPT matching abstract by using the same title and the fabricated results of each of the human generated abstracts. A web-based questionnaire was used to gather demographic data and to record the reviewers’ evaluation of the 20 abstracts. Comparative statistics and multivariable regression were used to identify factors associated with a higher correct identification rate.

RESULTS: The 30 reviewers discriminated 20 abstracts, giving a total of 600 abstract evaluations. The reviewers were able to correctly identify 300/600 (50%) of the abstracts: 139/300 (46.3%) of the ChatGPT-generated abstracts and 161/300 (53.7%) of the human-written abstracts (p=0.07). Human-written abstracts had a higher rate of correct identification (median (IQR) 56.7% (49.2-64.1%) vs 45.0% (43.2-48.3%), p=0.023). Senior reviewers had a higher correct identification rate (60%) than junior reviewers and residents (45% each; p=0.043 and p=0.002, respectively). In a linear regression model including the experience level of the reviewers, familiarity with artificial intelligence (AI) and the country in which the majority of medical training was achieved (English speaking vs non-English speaking), the experience of the reviewer (β=10.2 (95% CI 1.8 to 18.7)) and familiarity with AI (β=7.78 (95% CI 0.6 to 15.0)) were independently associated with the correct identification rate (p=0.019 and p=0.035, respectively). In a correlation analysis the number of publications by the reviewer was positively correlated with the correct identification rate (r28)=0.61, p<0.001.

CONCLUSION: A total of 46.3% of abstracts written by ChatGPT were detected by reviewers. The correct identification rate increased with reviewer and publication experience.

PMID:38627032 | DOI:10.1136/ijgc-2023-005162

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Nevin Manimala Statistics

Associations of excessive internet use, sleep duration and physical activity with school absences: a cross-sectional, population-based study of adolescents in years 8 and 9

Arch Dis Child. 2024 Apr 16:archdischild-2023-326331. doi: 10.1136/archdischild-2023-326331. Online ahead of print.

ABSTRACT

BACKGROUND: Internet use has increased and sleep and physical activity (PA) have decreased in recent years among adolescents. Besides sleep and PA, another determinant of future health for adolescents is education. Our aim was to evaluate the associations of excessive internet use (EIU), short sleep duration and low PA with both unexcused absences and medical absences during lower secondary school.

METHODS: The School Health Promotion study is a national survey of adolescents conducted biennially in Finland. We used data collected in 2019, when EIU was assessed for the first time. Cumulative odds ratio analysis was conducted with unexcused absences and medical absences as outcome variables. Besides EIU, sleep duration and PA, the associations of maternal education and parental relations were assessed.

RESULTS: The mean age of the 86 270 participants was 15.3 years. Girls scored higher than boys on EIU. In all, 34.7% of participants slept less than 8 hours per night during the school week, and 34.3% reported low PA (ie, less than 3 days per week with minimum 1 hour of PA per day). EIU, short sleep and low PA were associated with both unexcused absences and medical absences from school. Longer sleep during weekends showed no association with absences, but good parental relations had the strongest protective association with both unexcused and medical absences.

CONCLUSIONS: EIU, short sleep duration and low PA were associated with both unexcused and medical absences from school. This has important implications for both the promotion of general health and the support offered to students with alarming school absences.

PMID:38627028 | DOI:10.1136/archdischild-2023-326331

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Nevin Manimala Statistics

Acquisition Duration Optimization Using Visual Grading Regression in [68Ga]FAPI-46 PET Imaging of Oncologic Patients

J Nucl Med Technol. 2024 Apr 16:jnmt.123.267156. doi: 10.2967/jnmt.123.267156. Online ahead of print.

ABSTRACT

Fibroblast activation protein is a promising target for oncologic molecular imaging with radiolabeled fibroblast activation protein inhibitors (FAPI) in a large variety of cancers. However, there are yet no published recommendations on how to set up an optimal imaging protocol for FAPI PET/CT. It is important to optimize the acquisition duration and strive toward an acquisition that is sufficiently short while simultaneously providing sufficient image quality to ensure a reliable diagnosis. The aim of this study was to evaluate the feasibility of reducing the acquisition duration of [68Ga]FAPI-46 imaging while maintaining satisfactory image quality, with certainty that the radiologist’s ability to make a clinical diagnosis would not be affected. Methods: [68Ga]FAPI-46 PET/CT imaging was performed on 10 patients scheduled for surgical resection of suspected pancreatic cancer, 60 min after administration of 3.6 ± 0.2 MBq/kg. The acquisition time was 4 min/bed position, and the raw PET data were statistically truncated and reconstructed to represent images with an acquisition duration of 1, 2, and 3 min/bed position, additional to the reference images of 4 min/bed position. Four image quality criteria that focused on the ability to distinguish specific anatomic details, as well as perceived image noise and overall image quality, were scored on a 4-point Likert scale and analyzed with mixed-effects ordinal logistic regression. Results: A trend toward increasing image quality scores with increasing acquisition duration was observed for all criteria. For the overall image quality, there was no significant difference between 3 and 4 min/bed position, whereas 1 and 2 min/bed position were rated significantly (P < 0.05) lower than 4 min/bed position. For the other criteria, all images with a reduced acquisition duration were rated significantly inferior to images obtained at 4 min/bed position. Conclusion: The acquisition duration can be reduced from 4 to 3 min/bed position while maintaining satisfactory image quality. Reducing the acquisition duration to 2 min/bed position or lower is not recommended since it results in inferior-quality images so noisy that clinical interpretation is significantly disrupted.

PMID:38627014 | DOI:10.2967/jnmt.123.267156