Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Performance and Fall Risk in Persons With Traumatic Brain Injury

Injuries sustained from traumatic brain injury (TBI) culminate in both cognitive and neuromuscular deficits. Patients often progress to higher functioning on the Rancho continuum even while mobility deficits persist. Although prior studies have examined physical performance among persons with chronic symptoms of TBI, less is known about the relatively acute phase of TBI as patients prepare for rehabilitation discharge. The aims of this cross-sectional study were to (a) compare balance and gait performance in 20 ambulant persons with moderate to severe TBI who were nearing rehabilitation discharge with their age-matched controls and (b) describe performance with thresholds for fall risk and community navigation. During a designed task circuit, 40 participants (20 persons with TBI and 20 controls) performed the Timed Up and Go (TUG), gait velocity, and Walking and Remembering tests. Balance testing included the Fullerton Advanced Balance Scale (FABS) and instrumented Modified Clinical Test for Sensory Interaction in Balance (MCTSIB). Statistical analyses included analysis of covariance for group comparisons and a multivariate analysis of covariance for MCTSIB sway velocities with anthropometric controls. The TBI group (mean [M] age = 42, standard deviation [SD] =19.5 years; 70% males) performed significantly more poorly on all mobility tests (p < .05) and their scores reflected a potential fall risk. Gait velocity was significantly slower for the TBI versus control group (M = .96, SD = 2.6 vs. M = 1.5, SD = 2.2 m/s; p < .001), including TUG times (M = 13.5, SD = 4.9 vs. M = 7.7, SD = 1.4; p < .001). TBI participants also demonstrated significantly greater sway velocity on all MCTSIB conditions (p < .01) and lower performance on the FABS (p < .001). Performance indices indicate potential fall risk and community navigation compromise for individuals with moderate to severe TBI. Physical performance scores support the need for continued interventions to optimize functional mobility upon discharge.
An Individual Housing-Based Socioeconomic Status Measure Predicts Advance Care Planning and Nursing Home Utilization

Background: Socioeconomic status (SES) is an important determinant of disparities in health care and may play a role in end-of-life care and decision-making. The SES is difficult to retrospectively abstract from current electronic medical records and data sets. Objective: Using a validated SES measuring tool derived from home address, the HOUsing-based SocioEconomic Status index, termed HOUSES we wanted to determine whether SES is associated with differences in end-of-life care and decision-making. Design/Setting/Participants: This cross-sectional study utilized a cohort of Olmsted County adult residents admitted to 7 intensive care units (ICUs) at Mayo Rochester between June 1, 2011, and May 31, 2014. Measurements: Multiple variables that reflect decision-making and care at end of life and during critical illness were evaluated, including presence of advance directives and discharge disposition. The SES was measured by individual housing-based SES index (HOUSES index; a composite index derived from real property as a standardized z-score) at the date of admission to the ICU which was then divided into 4 quartiles. The greater HOUSES, the higher SES, outcomes were adjusted for age, 24-hour Acute Physiology and Chronic Health Evaluation III score, sex, race/ethnicity, and insurance. Results: Among the eligible 4134 participants, the addresses of 3393 (82%) were successfully geocoded and formulated into HOUSES. The adjusted odds ratios comparing HOUSES 1 versus 2, 3, and 4 demonstrated lower likelihood of advance directives −0.77(95% CI: 0.63-0.93) and lower likelihood of discharge to home −0.60(95% CI: 1.0.5-0.72). Conclusion: Lower SES, derived from a composite index of housing attributes, was associated with lower rates of advance directives and lower likelihood of discharge to home.
Effects of Cognitive Behavioral Therapy for Insomnia on Sleep, Symptoms, Stress, and Autonomic Function Among Patients With Heart Failure

ABSTRACT Background: Insomnia is common among patients with stable heart failure (HF) and associated with inflammation and altered autonomic function. Purpose: The purposes of this study were to examine the effects of cognitive behavioral therapy for insomnia (CBT-I) on the Hypothalamic Pituitary (HPA) Axis, autonomic function, inflammation, and circadian rhythmicity and the associations between these biomarkers and insomnia, sleep characteristics, symptoms, functional performance, and sleep-related cognitions. Methods: We conducted a subanalysis of a pilot randomized controlled trial (RCT, NCT02827799) whose primary aim was to test the effects of CBT-I on insomnia. We randomized 51 patients with stable Class II-IV HF to CBT-I (n = 30) or attention control (n = 21). Participants completed wrist actigraphy and self-reported insomnia severity, sleep characteristics, sleep-related cognitions, daytime symptoms, and functional performance. We measured day and nighttime urinary free cortisol, melatonin sulfate, epinephrine, and norepinephrine at baseline, and two weeks after CBT-I and computed general linear models and partial correlations. Results: CBT-I had no effects on the biomarkers, but there were statistically significant negative cross-sectional correlations between the ratio of day and night urinary free cortisol and sleep disturbance, anxiety, fatigue, depression, and negative sleep cognitions. Increases in the ratio between day and night cortisol were associated with statistically significant improvements in fatigue, depression, sleep duration, and sleep-related cognitions. Conclusions: Biomarkers of stress and autonomic function are associated with sleep, sleep-related symptoms, and cognitions among people with chronic HF. Future studies are needed to identify potential causal relationships and the impact of sleep interventions.
Circulating miRNA‐150‐5p is associated with immune‐mediated early β‐cell loss in a humanized mouse model

Aberrant microRNA (miRNA) expression levels are associated with various graft rejections. We used our humanized mouse model with transplanted human islets to identify miRNAs in islet grafts related to xenograft rejection and circulating miRNAs associated with xenograft rejection‐mediated β‐cell loss.
Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry

Increasing flood hazards worldwide due to the intensification of hydrological events and the development of adaptation-mitigation strategies are key challenges that society must address. To minimize flood damages, one of the crucial factors is the identification of flood prone areas through fluvial hydraulic modelling in which a detailed knowledge of the terrain plays an important role for reliable results. Recent studies have demonstrated the suitability of the Reduced Cost Aerial Precision Photogrammetry (RC-APP) technique for fluvial applications by accurate-detailed-reliable Digital Terrain Models (DTMs, up to: ≈100 point/m2; vertical-uncertainty: ±0.06 m). This work aims to provide an optimal relationship between point densities and vertical-uncertainties to generate more reliable fluvial hazard maps by fluvial-DTMs. This is performed through hydraulic models supported by geometric models that are obtained from a joint strategy based on Structure from Motion and Cloth Simulation Filtering algorithms. Furthermore, to evaluate vertical-DTM, uncertainty is proposed as an alternative approach based on the method of robust estimators. This offers an error dispersion value analogous to the concept of standard deviation of a Gaussian distribution without requiring normality tests. This paper reinforces the suitability of new geomatic solutions as a reliable-competitive source of accurate DTMs at the service of a flood hazard assessment.
Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks

In this paper, we propose a generative framework to produce similar yet novel samples for a specified image. We then propose the use of these images as hard-negatives samples, within the framework of hard-negative mining, in order to improve the performance of classification networks in applications which suffer from sparse labelled training data. Our approach makes use of a variational autoencoder (VAE) which is trained in an adversarial manner in order to learn a latent distribution of the training data, as well as to be able to generate realistic, high quality image patches. We evaluate our proposed generative approach to hard-negative mining on a synthetic aperture radar (SAR) and optical image matching task. Using an existing SAR-optical matching network as the basis for our investigation, we compare the performance of the matching network trained using our approach to the baseline method, as well as to two other hard-negative mining methods. Our proposed generative architecture is able to generate realistic, very high resolution (VHR) SAR image patches which are almost indistinguishable from real imagery. Furthermore, using the patches as hard-negative samples, we are able to improve the overall accuracy, and significantly decrease the false positive rate of the SAR-optical matching task—thus validating our generative hard-negative mining approaches’ applicability to improve training in data sparse applications.
Normative Data for a Rapid, Automated Test of Spatial Release From Masking

Purpose The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss. Method The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition. Multiple linear regression was used to fit the data from 82 adults 18–80 years of age with normal to moderate hearing loss (0–40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM. Results Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs. Conclusion With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed. Supplemental Material https://doi.org/10.23641/asha.7080878
Comparison of Methods for Algorithmic Classification of Dementia Status in the Health and Retirement Study

Background: Dementia ascertainment is time-consuming and costly. Several algorithms use existing data from the US-representative Health and Retirement Study (HRS) to algorithmically identify dementia. However, relative performance of these algorithms remains unknown. Methods: We compared performance across five algorithms (Herzog–Wallace, Langa–Kabeto–Weir, Crimmins, Hurd, Wu) overall and within sociodemographic subgroups in participants in HRS and Wave A of the Aging, Demographics, and Memory Study (ADAMS, 2000–2002), an HRS substudy including in-person dementia ascertainment. We then compared algorithmic performance in an internal (time-split) validation dataset including participants of HRS and ADAMS Waves B, C, and/or D (2002–2009). Results: In the unweighted training data, sensitivity ranged from 53% to 90%, specificity ranged from 79% to 97%, and overall accuracy ranged from 81% to 87%. Though sensitivity was lower in the unweighted validation data (range: 18%–62%), overall accuracy was similar (range: 79%–88%) due to higher specificities (range: 82%–98%). In analyses weighted to represent the age-eligible US population, accuracy ranged from 91% to 94% in the training data and 87% to 94% in the validation data. Using a 0.5 probability cutoff, Crimmins maximized sensitivity, Herzog–Wallace maximized specificity, and Wu and Hurd maximized accuracy. Accuracy was higher among younger, highly-educated, and non-Hispanic white participants versus their complements in both weighted and unweighted analyses. Conclusion: Algorithmic diagnoses provide a cost-effective way to conduct dementia research. However, naïve use of existing algorithms in disparities or risk factor research may induce nonconservative bias. Algorithms with more comparable performance across relevant subgroups are needed.
Prediction of the size of unerupted permanent canines and premolars in a Qatari sample

Aim: The purpose of this investigation was to establish an equation for the prediction of the size of unerupted canines and first and second premolars in a Qatari population. Materials and Methods: In this study, dental casts of 100 Qataris (50 males and 50 females) were selected. The participants' age ranged from 15 to 20 years. The width of all permanent teeth with the exception of second and third molars was measured. The data were subjected to Student's t-test and regression analysis. Results: The results indicated that 15%, 25%, and 35% confidence levels were more accurate determinants of the unerupted canines and premolars than the commonly used 75% level of Moyers when both sexes were combined. The multiple regression equations revealed different confidence levels for males and females. Tanaka and Johnston's equations overestimate the predicted tooth width of the unerupted canine and first and second premolars. Conclusions: Three levels of confidence were found to be more accurate in the maxillary arch and two in the mandibular arch when compared to the commonly used 75% in Moyers' table when both sexes were combined. Therefore, three new equations for maxillary and mandibular arches are proposed to predict the size of unerupted canine and first and second premolar teeth for Qatari males and females and for both sexes combined.
Geobacillus and Bacillus Spore Inactivation by Low Energy Electron Beam Technology: Resistance and Influencing Factors

Low energy electron beam (LEEB) treatment is an emerging non-thermal technology that performs surface decontamination with a minimal influence on food quality. Bacterial spore resistance toward LEEB treatment and its influencing factors were investigated in this study. Spores from Geobacillus and Bacillus species were treated with a lab-scale LEEB at energy levels of 80 and 200 keV. The spore resistances were expressed as D-values (the radiation dose required for one log10 reduction at a given energy level) calculated from the linear regression of log10 reduction against absorbed dose of the sample. The results revealed that the spore inactivation efficiency by LEEB is comparable to that of other ionizing radiations and that the inactivation curves are mostly log10-linear at the investigated dose range (3.8 – 8.2 kGy at 80 keV; 6.0 – 9.8 kGy at 200 keV). The D-values obtained from the wildtype strains varied from 2.2 – 3.0 kGy at 80 keV, and from 2.2 – 3.1 kGy at 200 keV. Bacillus subtilis mutant spores lacking α/β-type small, acid-soluble spore proteins showed decreased D-values (1.3 kGy at 80 and 200 keV), indicating that spore DNA is one of the targets for LEEB spore inactivation. The results revealed that bacterial species, sporulation conditions and the treatment dose influence the spore LEEB inactivation. This finding indicates that for the application of this emerging technology, special attention should be paid to the choice of biological indicator, physiological state of the indicator and the processing settings. High spore inactivation efficiency supports the application of LEEB for the purpose of food surface decontamination. With its environmental, logistical, and economic advantages, LEEB can be a relevant technology for surface decontamination to deliver safe, minimally processed and additive-free food products.
Effect of Pregabalin on Radiotherapy-Related Neuropathic Pain in Patients With Head and Neck Cancer: A Randomized Controlled Trial.

PURPOSE Neuropathic pain is an unavoidable treatment-related adverse event among patients with head and neck cancer who are undergoing radiotherapy. We aimed to test the efficacy and safety of pregabalin versus placebo in the treatment of radiotherapy-related neuropathic pain. PATIENTS AND METHODS This randomized, double-blind, placebo-controlled trial was conducted in four centers in China. Eligible patients with a mean pain intensity score of 4 or more on an 11-point numeric rating scale were randomly assigned to receive either active treatment with a flexible dose of pregabalin or placebo for 16 weeks. The primary efficacy outcome was pain reduction measured on the numeric rating scale. RESULT There were 128 patients who received treatment as randomly assigned. Pain intensity reduction was 2.44 in the pregabalin arm and 1.58 in the placebo arm at week 16, yielding an adjusted mean difference of 0.87 (95% CI, 0.30 to 1.44; P = .003). In the pregabalin arm, 38 patients (59.4%) achieved at least 30% pain relief versus 21 (32.8%) in the placebo arm ( P = .006). Nineteen patients (29.7%) in the pregabalin group and five (7.8%) in the placebo group achieved 50% or greater pain relief ( P = .003). Total scores on the Profile of Mood States-Short Form, pain severity and functional interference of Brief Pain Inventory-Short Form, as well as the physiology and psychology domain of the WHO Quality of Life-BREF all were reduced significantly at week 16 in patients who received pregabalin compared with those who received placebo. There was no significant difference ( P = .29) in the incidence of experiencing at least one adverse event in the pregabalin arm (n = 35; 54.7%) versus the placebo arm (n = 29; 45.3%). CONCLUSION Patients treated with pregabalin with radiotherapy-related neuropathic pain had greater pain alleviation, better mood states, and higher quality of life compared with patients in the placebo group, with a good tolerability.
Parent Report of Amplification Use in Children with Mild Bilateral or Unilateral Hearing Loss

Abstract Background: Amplification is considered to be one of the most important interventions for children with hearing loss. However, achieving consistent use of hearing technology in young children is an important problem, particularly when hearing loss is of mild degree. Little information is available about amplification use specifically for children with mild bilateral or unilateral hearing loss when such losses are targeted and identified early because of the availability of newborn hearing screening. Purpose: We examined amplification use in a contemporary cohort of early-identified children with mild bilateral and unilateral hearing loss. Research Design: As part of the Mild and Unilateral Hearing Loss in Children Study, we collected parent reports on their child’s use of amplification during the preschool years. Study Sample: A total of 69 children (38 unilateral and 31 bilateral mild) enrolled in the study from 2010 to 2015. Children entered the study at various ages between 12 and 36 mo of age and were followed up to age 48 mo. The median age of the children at enrollment was 16.5 mo (interquartile range [IQR] = 9.5, 26.8). Hearing loss was confirmed in these children at a median age of 3.6 mo (IQR = 2.4, 5.7). Data Collection and Analysis: Baseline characteristics related to the child and family were collected through an intake form at study enrollment. Data on amplification fitting and use were collected via parent questionnaires at each assessment interval. Information from parent questionnaires was summarized descriptively and amplification use was grouped into categories. Through logistic regression, we examined the relationship between amplification use and laterality of hearing loss, sex, and maternal education. Results: Amplification was recommended for 59 (85.5%) children at a median age of 6.5 mo (IQR = 3.6, 21.2) and children were fitted at a median age of 10.9 mo (IQR = 6.0, 22.1). Based on parent report, hearing aid use was consistent for 39 (66.1%) of 59 children who had amplification recommended. Parent questionnaires showed very little change in use for most of the children over the study period. More children with bilateral hearing loss used their amplification consistently than those with unilateral hearing loss. After adjusting for maternal education and sex of the child, the odds for consistent use in children with mild bilateral loss was almost seven times higher (odds ratio = 6.75; 95% confidence interval = 1.84, 24.8) than for those with unilateral loss. Conclusions: Although 85.5% of children with mild bilateral or unilateral hearing loss received amplification recommendations, only two-thirds achieved consistent use by age 3–4 yr based on parent report. Children with mild bilateral loss were more likely to use amplification during the preschool years than those with unilateral loss.
Outcomes of Children With Critical Bronchiolitis Meeting at Risk for Pediatric Acute Respiratory Distress Syndrome Criteria*

Objectives: New definitions of pediatric acute respiratory distress syndrome include criteria to identify a subset of children “at risk for pediatric acute respiratory distress syndrome. ” We hypothesized that, among PICU patients with bronchiolitis not immediately requiring invasive mechanical ventilation, those meeting at risk for pediatric acute respiratory distress syndrome criteria would have worse clinical outcomes, including higher rates of pediatric acute respiratory distress syndrome development. Design: Single-center, retrospective chart review. Setting: Mixed medical-surgical PICU within a tertiary academic children’s hospital. Patients: Children 24 months old or younger admitted to the PICU with a primary diagnosis of bronchiolitis from September 2013 to April 2014. Children intubated before PICU arrival were excluded. Interventions: None. Measurements and Main Results: Collected data included demographics, respiratory support, oxygen saturation, and chest radiograph interpretation by staff radiologist. Oxygen flow (calculated as FIO2 × flow rate [L/min]) was calculated when oxygen saturation was 88–97%. The median age of 115 subjects was 5 months (2–11 mo). Median PICU length of stay was 2.8 days (1.5–4.8 d), and median hospital length of stay was 5 days (3–10 d). The criteria for at risk for pediatric acute respiratory distress syndrome was met in 47 of 115 subjects (40.9%). Children who were at risk for pediatric acute respiratory distress syndrome were more likely to develop pediatric acute respiratory distress syndrome (15/47 [31.9%] vs 1/68 [1.5%]; p < 0.001), had longer PICU length of stay (4.6 d [2.8–10.2 d] vs 1.9 d [1.0–3.1 d]; p < 0.001) and hospital length of stay (8 d [5–16 d] vs 4 d [2–6 d]; p < 0.001), and increased need for invasive mechanical ventilation (16/47 [34.0%] vs 2/68 [2.9%]; p < 0.001), compared with those children who did not meet at risk for pediatric acute respiratory distress syndrome criteria. Conclusions: Our data suggest that the recent definition of at risk for pediatric acute respiratory distress syndrome can successfully identify children with critical bronchiolitis who have relatively unfavorable clinical courses.