Miracle-dz/UniFAR-FTUs huggingface dataset:
Large-scale decontamination of disposable FFP2 and FFP3 respirators by hydrogen peroxide vapour, Finland, April to June 2020

Background The shortage of FFP2 and FFP3 respirators posed a serious threat to the operation of the healthcare system at the onset of the COVID-19 pandemic. Aim Our aim was to develop and validate a large-scale facility that uses hydrogen peroxide vapour for the decontamination of used respirators. Methods A multidisciplinary and multisectoral ad hoc group of experts representing various organisations was assembled to implement the collection and transport of used FFP2 and FFP3 respirators from hospitals covering 86% of the Finnish population. A large-scale decontamination facility using hydrogen peroxide vapour was designed and constructed. Microbiological tests were used to confirm efficacy of hydrogen peroxide vapour decontamination together with a test to assess the effect of decontamination on the filtering efficacy and fit of respirators. Bacterial and fungal growth in stored respirators was determined by standard methods. Results Large-scale hydrogen peroxide vapour decontamination of a range of FFP2 and FFP3 respirator models effectively reduced the recovery of biological indicators: Geobacillus stearothermophilus and Bacillus atrophaeus spores, as well as model virus bacteriophage MS2. The filtering efficacy and facial fit after hydrogen peroxide vapour decontamination were not affected by the process. Microbial growth in the hydrogen peroxide vapour-treated respirators indicated appropriate microbial cleanliness. Conclusions Large-scale hydrogen peroxide vapour decontamination was validated. After effective decontamination, no significant changes in the key properties of the respirators were detected. European Union regulations should incorporate a facilitated pathway to allow reuse of appropriately decontaminated respirators in a severe pandemic when unused respirators are not available.
An Analysis of Health Care Team Communication Needs Among Younger vs Older Breast Cancer Survivors: Web-Based Survey

Background Prior studies indicate that the age of onset of breast cancer is an important element in considering communication between patients and the health care team. Younger women aged 45 and under diagnosed with breast cancer are often at a higher risk of being more vulnerable to psychosocial issues compared to older women aged 46 years and above. Few studies have examined age differences in patient perceptions of treatment-related discussion and communication during transition with their health care team. Objective The aims of this survey were (1) to better understand breast cancer survivors’ perspectives regarding communication with health care providers during treatment and during transition to posttreatment care; and (2) to determine the differences between younger women with breast cancer (≤45 years of age) and older women (≥46 years of age). It was hypothesized that (1) breast cancer survivors’ psychosocial and finance-related communications with health care providers may lack effectiveness; (2) younger women experience greater needs for patient-centered communication with physicians and health care providers, especially about psychosocial care and transition to posttreatment care; and (3) younger breast cancer patients (≤45 years of age) need more information on survivorship and follow-up care. Methods An internet-based survey was conducted with 143 women in Central Texas with 35% (n=50) aged 45 years or under and 65% (n=93) aged 46 years and above. The Mann-Whitney U test was performed to assess differences in participants’ perceptions about communication with health care providers by age group: younger (≤45 years of age) and older (≥46 years of age) women. Results Statistically significant results pertained to rating health care team and patient discussions about transition from treatment to posttreatment using scores of 0 as “no discussion” and 100 as “in-depth discussion. ” For the questions about management of posttreatment care, the overall mean score of the groups was 56.26 and that of the younger group was 43.96; the mean score of the older group was 61.96 (P=.02). For the question about the timing of follow-up appointments, the overall mean score was 64.29; the mean score of the younger group was 54.44, and that of the older group was 68.88 (P=.05). All the group scores related to psychosocial and financial support discussions with health care providers were low, with a rollup average of only 30.02 out of 100, suggesting that this is an important area for improving patient-centered communication. Conclusions For all patients, transition from treatment to posttreatment requires a greater level of engagement and communication with the health care team. It appears that younger patients aged ≤45 years require more in-depth and personalized messaging to better understand their posttreatment care requirements.
Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer’s disease based on cerebral gray matter changes

Abstract This study aimed to analyse cerebral grey matter changes in mild cognitive impairment (MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using deep learning methods based on convolutional neural networks (CNNs) evaluating these changes. Participants (111 MCI, 73 normal cognition) underwent 3-T structural magnetic resonance imaging. The obtained images were assessed using voxel-based morphometry, including extraction of cerebral grey matter, analyses of statistical differences, and correlation analyses between cerebral grey matter and clinical cognitive scores in MCI. The CNN-based deep learning method was used to extract features of cerebral grey matter images. Compared to subjects with normal cognition, participants with MCI had grey matter atrophy mainly in the entorhinal cortex, frontal cortex, and bilateral frontotemporal lobes (p < 0.0001). This atrophy was significantly correlated with the decline in cognitive scores (p < 0.01). The accuracy, sensitivity, and specificity of the CNN model for identifying participants with MCI were 80.9%, 88.9%, and 75%, respectively. The area under the curve of the model was 0.891. These findings demonstrate that research based on brain morphology can provide an effective way for the clinical, non-invasive, objective evaluation and identification of early Alzheimer's disease.
The PRIMARY Score: Using Intraprostatic 68Ga-PSMA PET/CT Patterns to Optimize Prostate Cancer Diagnosis

Visual Abstract Multiparametric MRI (mpMRI) is validated for the diagnosis of clinically significant prostate cancer (csPCa). 68Ga-PSMA-11 PET/CT (68Ga-PSMA PET/CT) combined with mpMRI has improved negative predictive value over mpMRI alone for csPCa. The aim of this post hoc analysis of the PRIMARY study was to evaluate the clinical significance of patterns of intraprostatic PSMA activity, proposing a 5-point PRIMARY score to optimize the accuracy of 68Ga-PSMA PET/CT for csPCa in a low-prevalence population. Methods: The PRIMARY trial was a prospective multicenter phase II imaging trial that enrolled men with suspected PCa, no prior biopsy, and a recent mpMRI examination (6 mo) and for whom prostate biopsy was planned. In total, 291 men underwent mpMRI, 68Ga-PSMA PET/CT, and systematic biopsy with or without targeted biopsy. The mpMRI was read separately using the Prostate Imaging Reporting and Data System (PI-RADS) (version 2). 68Ga-PSMA PET/CT (pelvis only) was acquired a minimum of 60 min after injection. 68Ga-PSMA PET/CT was centrally read for pattern (diffuse transition zone [TZ], symmetric central zone [CZ], focal TZ, or focal peripheral zone [PZ]) and intensity (SUVmax). In this post hoc analysis, a 5-level PRIMARY score was assigned on the basis of analysis of the central read: no pattern (score of 1), diffuse TZ or CZ (not focal) (score of 2), focal TZ (score of 3), focal PZ (score of 4), or an SUVmax of at least 12 (score of 5). Two further readers independently assigned a PRIMARY score to 118 scans to determine interrater agreement. Associations between PRIMARY score and csPCa (International Society of Urological Pathology grade group ≥ 2) were evaluated. Results: Of the 291 men enrolled, 162 (56%) had csPCa. A PRIMARY score of 1 was present in 16% (47); a score of 2, in 19% (55); a score of 3, in 10% (29); a score of 4 in 40% (117); and a score of 5, in 15% (43). The proportion of patients with csPCa and a PRIMARY score of 1, 2, 3, 4, and 5 was 8.5% (4/47), 27% (15/55), 38% (11/29), 76% (89/117), and 100% (43/43), respectively. Sensitivity, specificity, positive predictive value, and negative predictive value for a PRIMARY score of 1 or 2 (low-risk patterns) versus a PRIMARY score of 3–5 (high-risk patterns) were 88%, 64%, 76%, and 81%, respectively, compared with 83%, 53%, 69%, and 72%, respectively, for a PI-RADS score of 2 versus 3–5 on mpMRI. The Cohen κ for a PRIMARY score of 1 of 2 versus a PRIMARY score of 3–5 was 0.76 (95% CI, 0.64–0.88) for reader 1 and 0.64 (95% CI, 0.49–0.78) for reader 2. Conclusion: A PRIMARY score incorporating intraprostatic pattern and intensity on 68Ga-PSMA PET/CT shows potential, with high diagnostic accuracy for csPCa. Further validation is warranted before implementation.
Clinical, radiological and pathological findings in patients with persistent lung disease following SARS-CoV-2 infection

Some patients experience pulmonary sequelae after SARS-CoV-2 infection, ranging from self-limited abnormalities to major lung diseases. Morphological analysis of lung tissue may help our understanding of pathogenic mechanisms and help to provide consistent personalised management. The aim of this study was to ascertain morphological and immunomolecular features of lung tissue. Transbronchial lung cryobiopsy was carried out in patients with persistent symptoms and computed tomography suggestive of residual lung disease after recovery from SARS-CoV-2 infection. 164 patients were referred for suspected pulmonary sequelae after COVID-19; 10 patients with >5% parenchymal lung disease underwent lung biopsy. The histological pattern of lung disease was not homogeneous and three different case clusters could be identified, which was mirrored by their clinical and radiological features. Cluster 1 (“chronic fibrosing”) was characterised by post-infection progression of pre-existing interstitial pneumonias. Cluster 2 (“acute/subacute injury”) was characterised by different types and grades of lung injury, ranging from organising pneumonia and fibrosing nonspecific interstitial pneumonia to diffuse alveolar damage. Cluster 3 (“vascular changes”) was characterised by diffuse vascular increase, dilatation and distortion (capillaries and venules) within otherwise normal parenchyma. Clusters 2 and 3 had immunophenotypical changes similar to those observed in early/mild COVID-19 pneumonias (abnormal expression of STAT3 in hyperplastic pneumocytes and PD-L1, IDO and STAT3 in endothelial cells). This is the first study correlating histological/immunohistochemical patterns with clinical and radiological pictures of patients with post-COVID lung disease. Different phenotypes with potentially different underlying pathogenic mechanisms have been identified. Post-COVID lung disease is not a single entity, but includes different subtypes, each of them potentially requiring separate and different management https://bit.ly/3BJDeUF
Science and innovation

The aim of the event is to present the applications and impact of digital tools in the field and how data and technology provide tools to enable policy makers, extension workers, and farmers with digital solutions to real-world challenges. This will provide on-the-ground examples of how more accurate, integrated multidimensional data is contributing to accelerating FAO’s strategic objectives towards improved sustainable agriculture and early warning systems, by identifying new opportunities, as well as strengthen the design of interventions, monitor progress, evaluate impact and deliver services.
Portrayal of women in media and its impact on young generation: a perception analysis

Media can play a useful role in propagation of information about products to the general public, this powerful tool is used for creating proper awareness, imparting education and prevention of various health diseases therefore media plays an important role in community development. Advertisements have always been an important marketing strategy. In modern times, advertising has become the lifeline of the business economy. In the present scenario advertising messages are preoccupied with grabbling attention and sustaining interest, rather than transferring persuasion messages. This has largely been due to a perception that advertising needs to stand out and perform a creative, educative and entertaining function in order to be received by customers. The agencies that produce these kinds of commercials argue that because there is so little product difference advertisers need to highlight the difference through advertising not the product. At the same time, advertisements should not hamper the ethical and moral value of the society. To make the advertisement more attractive, these agencies use lot of tools and modern techniques and one among them is women. The objective of the study is to understand the perception of young generation about the portrayal of women in advertisement and its impact on the young generation. To fulfill this research objective, the study has carried in Mysore city considering the sample size of 100 which includes college students, women and men by adopting simple random sampling technique. Mean is used as a statistical tool to analyze and interpret the data. The study found that most of the respondents were the opinion that the use of erotic images of women in advertisements was offensive and they were also of the opinion that this kind of advertisements attracts the customer's immediate attention and they last long in the minds of the people but people remember only the erotic image of women in advertisement but not the product advertised.
Asymptotical Neuro-Adaptive Consensus of Multi-Agent Systems With a High Dimensional Leader and Directed Switching Topology

We study the asymptotical consensus problem for multi-agent systems (MASs) consisting of a high-dimensional leader and multiple followers with unknown nonlinear dynamics under directed switching topology by using a neural network (NN) adaptive control approach. First, we design an observer for each follower to reconstruct the states of the leader. Second, by using the idea of discontinuous control, we design a discontinuous consensus controller together with an NN adaptive law. Finally, by using the average dwell time (ADT) method and the Barbǎlat’s lemma, we show that asymptotical neuroadaptive consensus can be achieved in the considered MAS if the ADT is larger than a positive threshold. Moreover, we study the asymptotical neuroadaptive consensus problem for MASs with intermittent topology. Finally, we perform two simulation examples to validate the obtained theoretical results. In contrast to the existing works, the asymptotical neuroadaptive consensus problem for MASs is firstly solved under directed switching topology.
ADVANCES IN INTERPRETING PARTIAL DISCHARGE TEST RESULTS FROM MOTOR AND GENERATOR STATOR WINDINGS

On-line partial discharge (PD) testing has been used for decades to help maintenance personnel detect stator winding insulation problems in motors and generators. Specifically, the test can often find loose, delaminated, overheated, and contaminated windings, well before these problems lead to failure. As a result, on-line PD testing has become an important tool for planning machine maintenance. The test has also found use in determining the effectiveness of any manufacturing or repair work. With the advent of electrical noise separation technology developed in the 1970s and 1980s, reliable on-line PD testing and basic interpretation was made possible by plant engineering staff with moderate training. The result has been the widespread application of the so-called PDA and TGA tests on machines throughout the world. Over 50% of utility generators rated over 20 MW in the USA and Canada now use this technology.
Prevalence of Foot At-Risk and its Associated Characteristics among Outpatients with DiabetesMellitus in a Peruvian Public Hospital

OBJECTIVE To assess the prevalence of patients at risk of developing diabetic foot complications (i.e. foot at-risk) and its clinical components according to the updated International Working Group on Diabetic Foot (IWGDF) criteria and to describe demographic and diabetes-related characteristics. METHODS We conducted a cross-sectional study at María Auxiliadora Hospital between 2017 and 2018. The criteria for foot at-risk in the IWGDF 2019 risk stratification system are classified into four risk categories, R0-R3, ranging from no peripheral arterial disease (PAD) and no peripheral neuropathy (PN) to the presence of PAD or PN in combination with previous foot ulcer, amputation, or end- stage renal disease (R3). According to this system, we obtained prevalence ratios (PR) of foot at-risk categories dependent on sex, age, diabetes duration, and Total Symptom Score. A sample size of 402 subjects was included in the study. RESULTS Subjects included had a mean age of 61 years, and 66% were female. There were no patients with type 1 diabetes, and 59% percent had adiabetes duration of less than ten years. The prevalence of foot at-risk was 54.3% defined by the IWGDF 2019 criteria, which gave prevalence17% higher than that defined with the previous 1999 criteria. PN and PAD frequency was 37.3% and 30.1%, respectively. Foot at-risk prevalence was 40% higher in those with severe Total Symptom Score (PR 1.40, 95% CI 1.09-1.80) and also 39% higher in men than in women (PR 1.39, 95% CI 1.17-1.64). Likewise, diabetes duration of more than ten years had a 25% higher prevalence of foot at-risk (PR 1.25, 95% CI 1.05-1.49), and those older than 60 years had a 20% higher presence of this condition (PR 1.20, 95% CI 1.0011.43). CONCLUSIONS Our hospital faces a substantial burden of diabetic foot risk in men, patients with long diabetes duration, and those with painful neuropathy. More initiatives are required at primary or hospital level to detect this critical condition. Likewise, reference centers with multidisciplinary teams to apply prevention and therapeutic interventions are urgently needed.
Statistical Methods for Item Reduction in a Representative Lifestyle Questionnaire: Pilot Questionnaire Study

Background Reducing the number of items in a questionnaire while maintaining relevant information is important as it is associated with advantages such as higher respondent engagement and reduced response error. However, in health care, after the original design, an a posteriori check of the included items in a questionnaire is often overlooked or considered to be of minor importance. When conducted, this is often based on a single selected method. We argue that before finalizing any lifestyle questionnaire, a posteriori validation should always be conducted using multiple approaches to ensure the robustness of the results. Objective The objectives of this study are to compare the results of two statistical methods for item reduction (variance inflation factor [VIF] and factor analysis [FA]) in a lifestyle questionnaire constructed by combining items from different sources and analyze the different results obtained from the 2 methods and the conclusions that can be made about the original items. Methods Data were collected from 79 participants (heterogeneous in age and sex) with a high risk of metabolic syndrome working in a financial company based in Tokyo. The lifestyle questionnaire was constructed by combining items (asked with daily, weekly, and monthly frequency) from multiple validated questionnaires and other selected questions. Item reduction was conducted using VIF and exploratory FA. Adequacy tests were used to check the data distribution and sampling adequacy. Results Among the daily and weekly questions, both VIF and FA identified redundancies in sleep-related items. Among the monthly questions, both approaches identified redundancies in stress-related items. However, the number of items suggested for reduction often differed: VIF suggested larger reductions than FA for daily questions but fewer reductions for weekly questions. Adequacy tests always confirmed that the structural detection was adequate for the considered items. Conclusions As expected, our analyses showed that VIF and FA produced both similar and different findings, suggesting that questionnaire designers should consider using multiple methods for item reduction. Our findings using both methods indicate that many questions, especially those related to sleep, are redundant, indicating that the considered lifestyle questionnaire can be shortened.
Experience with Pediatric Neurology e-Consults from a Specialist Perspective at an Academic Center

Introduction E-consults improve access to specialty expertise and increase satisfaction for patients and Primary Care Providers (PCPs). Pediatric neurology may be perceived as less amenable to e-consults compared to other specialties. Methods We performed a retrospective analysis of e-consults performed by pediatric neurologists at the University of Virginia. We reviewed the electronic medical records and analyzed the content of e-consults, recommendations from specialists, and subsequent actions by PCPs. Results Between April 2019 and April 2021, 58 e-consults were performed by pediatric neurologists. Most common indications included spells, headache, and tremor. In 56.9% of cases, the answer was provided without recommending a face-to-face (FTF) visit. For patients seen in clinic, e-consults reduced wait time and facilitated the clinic visit. Discussion E-consults are a suitable option for pediatric neurology, and they help with the workflow. Further education is needed to improve utility of e-consults in pediatric neurology.
Hearing Instability in Children with Congenital Cytomegalovirus: Evidence and Neural Consequences

Sensorineural hearing loss (SNHL) is a common sequela of congenital cytomegalovirus (cCMV), potentially exacerbating neurocognitive delay. The objectives of this study were to assess: (1) age at which SNHL in children with cCMV; (2) stimulability of the auditory system in children with cCMV following cochlear implantation (CI); and (3) whether features of magnetic resonance imaging (MRI) potentially are predictive of hearing outcomes.
Immunoglobulin heavy chain gene rearrangement in heavy chain deposition disease suggests it is a plasma cell disease: a case report

Heavy chain deposition disease (HCDD) is characterized by the deposition of truncated monoclonal immunoglobulin heavy chains along glomerular basement membranes. Truncated heavy chains are thought to be associated with plasma cell disease (PCD), but previous bone marrow cytology tests showed that only 30% of HCDD cases are related to PCDs. We report the first known use of immunoglobulin heavy chain (IGH) gene rearrangement to diagnose a patient with γ3-HCDD, although bone marrow morphology test identified no abnormalities. Our findings provide strong evidence for a correlation between PCDs and HCDD, which could help understand the genetic background underlying abnormal heavy chains and assess disease prognosis. Further, concordant with previous findings, bortezomib-based chemotherapy had a good therapeutic effect in our patient. We summarize the experience of diagnosing and treating a case of HCDD, and combine this with a literature review to further explore the correlation between PCDs and HCDD, which has important clinical value.