Tag: pubmed

PLoS One. 2021 Aug 24;16(8):e0254223. doi: 10.1371/journal.pone.0254223. eCollection 2021.

ABSTRACT

Hand, foot and mouth (HFM) disease is a common childhood illness. The paper aims to capture the spatiotemporal characters, and investigate the influence factors of the HFM epidemic in 15 regions of Xinjiang province from 2008 to 2017, China. Descriptive statistical analysis shows that the children aged 0-5 years have a higher HFM incidence, mostly boys. The male-female ratio is 1.5:1. Through the scanning method, we obtain the first cluster high-risk areas. The cluster time is usually from May to August every year. A spatiotemporal model is proposed to analyze the impact of meteorological factors on HFM disease. Comparing with the spatial model, the model is more effective in terms of R2, AIC, deviation, and mean-square error. Among meteorological factors, the number of HFM cases generally increases with the intensity of rainfall. As the temperature increases, there are more HFM patients. Some regions are mostly influenced by wind speed. Further, another spatiotemporal model is introduced to investigate the relationship between HFM disease and socioeconomic factors. The results show that socioeconomic factors have significant influence on the disease. In most areas, the risk of HFM disease tends to rise with the increase of the gross domestic product, the ratios of urban population and tertiary industry. The incidence is closely related to the number of beds and population density in some regions. The higher the ratio of primary school, the lower the number of HFM cases. Based on the above analysis, it is the key measure to prevent and control the spread of the HFM epidemic in high-risk areas, and influence factors should not be ignored.

PMID:34428212 | DOI:10.1371/journal.pone.0254223

IEEE Trans Neural Netw Learn Syst. 2021 Aug 24;PP. doi: 10.1109/TNNLS.2021.3104974. Online ahead of print.

ABSTRACT

The entropy of the codes usually serves as the rate loss in the recent learned lossy image compression methods. Precise estimation of the probabilistic distribution of the codes plays a vital role in reducing the entropy and boosting the joint rate-distortion performance. However, existing deep learning based entropy models generally assume the latent codes are statistically independent or depend on some side information or local context, which fails to take the global similarity within the context into account and thus hinders the accurate entropy estimation. To address this issue, we propose a special nonlocal operation for context modeling by employing the global similarity within the context. Specifically, due to the constraint of context, nonlocal operation is incalculable in context modeling. We exploit the relationship between the code maps produced by deep neural networks and introduce the proxy similarity functions as a workaround. Then, we combine the local and the global context via a nonlocal attention block and employ it in masked convolutional networks for entropy modeling. Taking the consideration that the width of the transforms is essential in training low distortion models, we finally produce a U-net block in the transforms to increase the width with manageable memory consumption and time complexity. Experiments on Kodak and Tecnick datasets demonstrate the priority of the proposed context-based nonlocal attention block in entropy modeling and the U-net block in low distortion situations. On the whole, our model performs favorably against the existing image compression standards and recent deep image compression models.

PMID:34428157 | DOI:10.1109/TNNLS.2021.3104974

J Physician Assist Educ. 2021 Sep 1;32(3):164-170. doi: 10.1097/JPA.0000000000000372.

ABSTRACT

PURPOSE: Physician assistant (PA) programs aim to foster a collaborative culture that enables stakeholders to feel included, empowered, and valued. The purpose of this study was to explore the cultural climate of diversity and inclusion in one PA program to identify areas of strength and to serve as a baseline needs assessment for future program initiatives.

METHODS: The study used a cross-sectional, descriptive approach for PA survey data (N = 85) to assess perceptions of diversity and inclusion of PA program students, faculty, and staff.

RESULTS: The respondents largely agreed that the program created an inclusive learning environment (92%), the curriculum positively affected their understanding of diversity and cultural responsiveness (84.6%), and the program had an adequate amount of inclusivity for all program stakeholders (87%). Some faculty members (25%) and students (6.2%) disagreed that faculty were open to diverse political beliefs, and 35% of the respondents believed that more emphasis could be put on religious diversity. A few students (7.7%) perceived faculty as not supportive of non-native English language speakers; students of color (11.5%) were more likely than White students (5.1%) to have this perception.

CONCLUSIONS: This study largely met the goal to create a professional environment of mutual respect and, ultimately, a climate of inclusiveness. It also identified opportunities for new initiatives to meet the needs of all program stakeholders. Follow-up research that distinguishes faculty from students and a multicenter study to explore perspectives based on demographic differences would be timely and useful.

PMID:34428191 | DOI:10.1097/JPA.0000000000000372

Scand J Gastroenterol. 2021 Aug 24:1-5. doi: 10.1080/00365521.2021.1968485. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Non-cirrhotic portal hypertension (NCPH) comprise a group of diseases that cause portal hypertension without cirrhosis, leading to a high risk of hemorrhage from esophageal varices. There are no non-invasive predictors of high-risk varices (HRV) described in the literature for NCPH. This study aimed to evaluate whether transient splenic elastography (TSE) can predict HRV in patients with NCPH.

METHODS: Prospective study of patients with NCPH who underwent a single timepoint evaluation with transient liver and spleen elastography, ultrasonography, upper endoscopy, and laboratory tests. The study was performed from January to September 2020. Patients were divided into two groups based on the presence of HRV. The relation between TSE, transient liver elastography (TLE), spleen size, and platelet count to the presence of HRV was evaluated.

RESULTS: Of 42 patients with NCPH, 50% (21/42) presented HRV. In univariate analysis, TSE (median, 58.4 vs. 28.3, p = 0.009) and spleen size (median, 17.5 vs. 14.5 cm, p = 0.013) were associated with HRV. No statistically significant relationship was found between the presence of HRV and platelet count or TLE. In multivariate analysis, TSE was the only variable related to HRV (OR 1.21, 95% CI 1.02-1.38). TSE had a good performance in predicting HRV in our population (AUROC 0.878; 95% CI 0.751-1000). TSE > 35.4 kPa presents 93.3% sensitivity, 60.0% specificity, and 90.9% negative predictive value.

CONCLUSION: In our population of patients with NCPH, TSE is useful in predicting HRV. TLE, spleen size, and platelet count were not related to HRV.

PMID:34428123 | DOI:10.1080/00365521.2021.1968485

IEEE Trans Pattern Anal Mach Intell. 2021 Aug 24;PP. doi: 10.1109/TPAMI.2021.3107164. Online ahead of print.

ABSTRACT

Power Normalizations (PN) are useful non-linear operators which tackle feature imbalances in classification problems. We study PNs in deep learning via a novel PN layer that combines the feature vectors and their respective spatial locations in the feature maps produced by the last convolutional layer of CNN into a positive definite matrix with second-order statistics to which PN operators are applied, forming so-called Second-order Pooling (SOP). As the main goal of this paper is to study Power Normalizations, we investigate the role and meaning of MaxExp and Gamma, two popular PN functions. To this end, we provide probabilistic interpretations of such element-wise operators and discover surrogates with well-behaved derivatives for end-to-end training. Furthermore, we look at the spectral applicability of MaxExp and Gamma by studying Spectral Power Normalizations (SPN). We show that SPN on the autocorrelation/covariance matrix and the Heat Diffusion Process (HDP) on a graph Laplacian matrix are closely related, thus sharing their properties. Such a finding leads us to the culmination of our work, a fast spectral MaxExp which is a variant of HDP for covariances/autocorrelation matrices. We evaluate our ideas on fine-grained recognition, scene recognition, and material classification, as well as in few-shot learning and graph classification.

PMID:34428137 | DOI:10.1109/TPAMI.2021.3107164

IEEE/ACM Trans Comput Biol Bioinform. 2021 Aug 24;PP. doi: 10.1109/TCBB.2021.3106939. Online ahead of print.

ABSTRACT

To quantitatively determining the temporal ordering of abnormal age onsets (AAO) among various biomarkers for Alzheimers disease (AD), we introduced a computational Monte-Carlo simulation (CMCS) to statistically examine such ordering of an AAO pair or over all AAOs. The CMCS 1) simulates longitudinal data, estimates AAO for each iteration, and finally assesses the type-I error of an AAO pair or all AAO ordering. Using hippocampus volume (V_HC), cerebral glucose hypometabolic convergence index (HCI), plasma neurofilament light (NfL), mini-mental state exam (MMSE), the auditory verbal learning test-long term memory (AVLT-LTM), short term memory (AVLT-STM) and clinical-dementia rating sum of box scale (CDR-SOB) from 382 mild cognitive impairment converters and non-converters, the CMCS estimated type-I error for the earlier AAO of V_HC, AVLT_STM and AVLT_LTM each than MMSE was significant (p<0.002). The type-I error for the overall AAO temporal ordering of V_HC AVLT_STM AVLT_LTM < HCI MMSE CDR-SOB NfL was p = 0.012. These findings showed that our CMCS is capable of providing statistical inferences for quantifying AAO ordering which has important implications in advancing our understanding of AD.

PMID:34428151 | DOI:10.1109/TCBB.2021.3106939

Nord J Psychiatry. 2021 Aug 24:1-8. doi: 10.1080/08039488.2021.1965213. Online ahead of print.

ABSTRACT

BACKGROUND: Previous research on patients who self-harm has indicated potential negative effects from long hospital stays. Yet, such care has been reported to occur regularly. We conducted this questionnaire study to investigate how hospital staff, who treat self-harming patients, experience the relation between lengths of stay and self-harm behaviour, and the motives for non-beneficial hospital stays.

METHODS: The respondents of the questionnaire were nurses and mental health workers employed at public inpatient wards in Stockholm, treating patients who self-harm. The questionnaire contained questions with fixed answers and room for comments. A total of 304 questionnaires were distributed to 13 wards at five clinics, and the response rate was 63%. The data were analysed with descriptive statistics and qualitative descriptive content analysis.

RESULTS: The results show that most staff experienced that more than a week’s stay either increased (57%) or had no effect (33%) on self-harm behaviour. Most respondents at most clinics considered the stays to be too long at their wards, and that the stays could be reduced. The respondents recognized several reasons for non-beneficial hospital stays, like fear of suicidal behaviour and doctors’ fear of complaints. Patients appearing as demanding or fragile were thought to be given more care than others. The respondents’ comments confirmed the majority’s experience of detrimental effects from longer hospital stays.

CONCLUSIONS: A majority of the health care staff experienced that patients who self-harm often receive too long hospital stays, with detrimental effects, and they had experienced several non-medical reasons for such care.

PMID:34428119 | DOI:10.1080/08039488.2021.1965213

Radiology. 2021 Aug 24:203593. doi: 10.1148/radiol.2021203593. Online ahead of print.

ABSTRACT

Background Isoattenuating and hyperattenuating thymic cysts at CT are often misinterpreted as lymphadenopathy or thymic epithelial neoplasms. Purpose To evaluate the longitudinal change in thymic cyst appearance at CT and MRI. Materials and Methods All chest MRI studies showing thymic cysts between July 2008 and December 2019, identified from a retrospective search of a quality assurance database, were included in this study if initial CT depicted a thymic lesion, the patient was referred for follow-up MRI for characterization, and the baseline (ie, index) MRI indicated a cystic lesion. Follow-up CT scans and/or MRI scans were identified through July 2020. Thymic cyst characteristics, such as size, location, and morphologic features, as well as CT and MRI characteristics, were recorded. Change in size, attenuation, and T1-weighted MRI signal was assessed longitudinally. Descriptive statistics of longitudinal change were tabulated. Results A total of 244 chest MRI studies in 140 patients with 142 unique cysts and 392 CT examinations (636 total examinations and 645 thymic cysts-nine examinations with two cysts each) were evaluated. The median follow-up duration was 2.2 years. Thirty-three patients with 34 unique cysts (34 of 142 cysts [24%]) underwent imaging follow-up for more than 5 years. Thymic cysts followed up for more than 5 years were most commonly saccular (189 of 274 cysts [69% axially]) and retrosternal (14 of 34 cysts [41%]). Craniocaudal dimension was larger than transverse and anteroposterior dimensions in 223 of 274 cysts (81%). Mean thymic cyst attenuation was 25 HU (range, 15-100 HU). Five of 31 cysts (16%) exhibited wall calcification. The median cyst wall thickness was 2.0 mm (range, 0.9-3.0 mm). Most thymic cysts changed in volume (31 of 34 cysts [91%]), CT attenuation (15 of 35 cysts [43%]), and T1-weighted MRI signal (12 of 18 cysts [67%]) over time. None developed mural irregularity, nodularity, or septations. Conclusion Unilocular thymic cysts, defined at index MRI, never developed irregular wall thickening, mural nodularity, or septations that would raise concern for malignant transformation. However, these cysts showed mural calcification and change in size, CT attenuation, and MRI signal over more than 5 years of follow-up. © RSNA, 2021 Online supplemental material is available for this article.

PMID:34427460 | DOI:10.1148/radiol.2021203593

J Pers Disord. 2021 Aug 24:1-16. doi: 10.1521/pedi_2021_35_535. Online ahead of print.

ABSTRACT

The Alternative Model for Personality Disorders (AMPD) in Section III of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013) conceptualizes personality pathology as a combination of impairment (Criterion A) and traits (Criterion B). One measure used to develop Criterion A was the Social Cognition and Object Relations Scale – Global Rating Method (SCORS-G), which is a multidimensional, object-relational clinician-rated measure of personality functioning. Although there are conceptual links between the AMPD and SCORS-G dimensions, there exists no research examining the relationship. To address this, we examined associations between the SCORS-G dimensions and measures of the AMPD constructs in a large, archival dataset of outpatients and inpatients. More pathological scores on SCORS-G dimensions reflecting self- and interpersonal functioning were associated with greater pathological traits and impairment. Overall, results support further investigation into SCORS-G as a useful measure in AMPD research and assessment.

PMID:34427493 | DOI:10.1521/pedi_2021_35_535

Vet Comp Oncol. 2021 Aug 24. doi: 10.1111/vco.12766. Online ahead of print.

ABSTRACT

The invasive, locally aggressive nature of feline injection-site sarcomas (FISS) pose a unique challenge for surgeons to obtain complete margins with surgical excision. Optical coherence tomography (OCT), an imaging technology that uses light waves to generate real-time views of tissue architecture, provides an emerging solution to this dilemma by allowing fast, high-resolution scanning of surgical margins. The purpose of this study was to use OCT to assess surgical margins of FISS and to evaluate the diagnostic accuracy of OCT for detecting residual cancer using six evaluators of varying experience. Five FISS were imaged with OCT to create a training set of OCT images that were compared with histopathology. Next, 25 FISS were imaged with OCT prior to histopathology. Six evaluators of varying experience participated in a training session on OCT imaging after which each of the evaluators was given a dataset that included OCT images and videos to score on a scale from cancerous to non-cancerous. Diagnostic accuracy statistics were calculated. The overall sensitivity and specificity for classification of OCT images by evaluators was 78.9% and 77.6%, respectively. Correct classification rate of OCT images was associated with experience, while individual sensitivities and specificities had more variation between experience groups. This study demonstrates the ability of evaluators to correctly classify OCT images with overall low levels of experience and training, and also illustrates areas where increased training can improve accuracy of evaluators in interpretation of OCT surgical margin images.

PMID:34427379 | DOI:10.1111/vco.12766