Miracle-dz/UniFAR-FTUs huggingface dataset:
Design, Analysis, and Testing of Nanoparticle-Infused Thin Film Sensors for Low Skin Friction Applications

Accurate measurement of skin friction in complex flows is important for: documentation and monitoring of fluid system performance, input information for flow control, and development of turbulence models and CFD validation. The goal of this study was to explore using new materials to directly measure skin friction in a more convenient way than available devices. Conventional direct measurement skin friction sensors currently in use are intrusive, requiring movable surface elements with gaps surrounding that surface, or require optical access for measurements. Conventional direct measurement sensors are also difficult to apply in low shear environments, in the 1-10 Pa range. A new thin, flexible, nanoparticle infused, piezoresistive material called Metal Rubber was used to create sensors that can be applied to any surface. This development was accomplished by using modern computerized finite element model multiphysics simulations of the material response to surface shear loads in order to design a sensor configuration with a reduced footprint, minimal cross influence and increased sensitivity. These sensors were then built, calibrated in a fully-developed water channel flow, and tested in both the NASA 20x28 inch Shear Flow Control Tunnel and a backwards-facing-step water flow. The results from these tests showed accurate responses with no amplification to the sensor output, to shear levels in the range of 1-15 Pa. In addition, the computer model of these sensors was found to be useful for studying and developing refined sensor designs and for documenting sources of measurement uncertainty. These encouraging results demonstrate the potential of this new material for skin friction sensor applications.
Reward Sensitivity Predicts the Response to Cognitive Behavioral Therapy for Children with Autism and Anxiety

ABSTRACT Objective Cognitive–behavioral therapy (CBT) is an effective treatment for anxiety in youth with autism spectrum disorder (ASD). However, research has yet to examine what cognitive characteristics may influence treatment response. The current study investigated decision-making ability and social cognition as potential (a) predictors of differential treatment response to two versions of CBT and (b) moderators of the effect of treatment condition. Method The study included 148 children (mean age = 9.8 years) with interfering anxiety and a diagnosis of ASD who were enrolled in a randomized clinical trial comparing two versions of CBT for anxiety (standard and adapted for ASD). Participants completed pretreatment measures of decision-making ability (adapted Iowa Gambling Task) and social cognition (Strange Stories) and analyses tested whether task performance predicted treatment response across and between (moderation) treatment conditions. Results Our findings indicate that decision-making ability moderated treatment outcomes in youth with ASD and anxiety, with a better decision-making performance being associated with higher post-treatment anxiety scores for those who received standard, not adapted, CBT. Conclusions Children with ASD and anxiety who are more sensitive to reward contingencies and reinforcement may benefit more from adapted CBT approaches that work more explicitly with reward.
Acoustic sensing of location and user presence on mobile computers

This dissertation evaluates the claim that “acoustic sensing using standard computer microphones and speakers can provide surprisingly-accurate user presence and location information. ” We introduce two new acoustic sensing techniques for computers; one is a sonar system for detecting user presence, the other is an ambient sound fingerprint to support determining location while indoors. The common goal is to sense the physical context of the computer; this problem at the intersection of mobile, ubiquitous, and pervasive computing systems research. Our sonar presence detection system senses motion in the environment by emitting an inaudible ultrasonic tone from the computer’s speaker while using the microphone to listen for variations in the tone’s echo. A user study showed that motion can be reliably sensed even in cases when the user is simply watching the display and thus no movement is expected. We applied sonar presence detection to the problem of display power management in a publicly-released software utility. We next introduce a way for portable computers such as smartphones to determine their location while indoors by listening to ambient sounds. No new hardware is required on the device and no infrastructure is required in the environment. Sensing is entirely passive, using the device’s microphone. Surprisingly, we found that each location has a relatively unique background sound. In other words, the “quiet” sound of each room is distinct and we introduce some filtering techniques which can measure the background sound even when there is noise, such as a person talking. Our technique works both in closed rooms and open hallways and even in cases when the user carrying the device is walking. This dissertation uses an empirical approach, measuring real-world performance of our systems with user studies when possible. As part of these experiments, we have publicly released useful and compelling research software. This software, and our experimental results, show that background sounds and ultrasound have much more practical use than we might expect.
Environmentally induced functional shifts in phytoplankton and their potential consequences for ecosystem functioning

Phytoplanktonic organisms are particularly sensitive to environmental change, and, as they represent a direct link between abiotic and biotic compartments within the marine food web, changes in the functional structure of phytoplankton communities can result in profound impacts on ecosystem functioning. Using a trait‐based approach, we examined changes in the functional structure of the southern North Sea phytoplankton over the past five decades in relation to environmental conditions. We identified a shift in functional structure between 1998 and 2004 which coincides with a pronounced increase in diatom and decrease in dinoflagellate abundances, and we provide a mechanistic explanation for this taxonomic change. Early in the 2000s, the phytoplankton functional structure shifted from slow growing, autumn blooming, mixotrophic organisms, towards earlier blooming and faster‐growing microalgae. Warming and decreasing dissolved phosphorus concentrations were linked to this rapid reorganization of the functional structure. We identified a potential link between this shift and dissolved nutrient concentrations, and we hypothesise that organisms blooming early and displaying high growth rates efficiently take up nutrients which then are no longer available to late bloomers. Moreover, we identified that the above‐mentioned functional change may have bottom‐up consequences, through a food quality‐driven negative influence on copepod abundances. Overall, our study highlights that, by altering the phytoplankton functional composition, global and regional changes may have profound long‐term impacts on coastal ecosystems, impacting both food‐web structure and biogeochemical cycles.
Comparison of the predictive values of CRP, CRP/albumin, RDW, neutrophil/lymphocyte, and platelet/lymphocyte levels in determining the severity of acute pancreatitis in patients with acute pancreatitis according to the BISAP score.

BACKGROUND In our study, it was aimed to find out whether it would be possible to determine the disease severity by comparing the values of red cell distribution width (RDW), c-reactive protein (CRP), CRP/albumin, neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR) in patients with acute pancreatitis according to Bedside Index of Severity in Acute Pancreatitis (BISAP) scores at the time of admission. METHODS Five hundred patients diagnosed with acute pancreatitis were included in the study. RESULTS According to BISAP scores, 388 (77.6 %) patients were evaluated as having mild acute pancreatitis and 112 (22.4 %) patients as having severe acute pancreatitis. In ROC analysis, values of 70.54 % sensitivity and 70.10 % specificity for CRP, 71.43 % sensitivity and 70.88 % specificity for CRP/albumin, 80.36 % sensitivity and 30.30 % specificity for RDW, 75.00 % sensitivity and 43.98 % specificity for NLR, and 55.36 % sensitivity and 38.51 % specificity for PLR were determined. Values of 85.71 % sensitivity and 66.49 % specificity were determined for the NLR-CRP/Albumin-RDW 2** score as a newly created scoring system. CONCLUSION CRP/albumin, NLR, PLR, and RDW values ​​were found to be statistically significantly higher in patients with severe acute pancreatitis compared to those with mild acute pancreatitis according to the BISAP score (pthat this scoring system could be a practical and reliable guide in the treatment and follow-up of patients with acute pancreatitis (Tab. 6, Fig. 3, Ref. 22).
Development and Psychometric Evaluation of a DSM-V-Based Social Networking Site Use Disorder Test: The SNS-DT-10

While the problematic use of Social Networking Sites (SNS) has been observed in some individuals, few validated and widely accepted measures are available to assess and screen for problematic use. This is an attempt at adapting the Diagnostic and Statistical Manual of Mental Disorders–based Internet Gaming Disorder Test-10 (IGDT-10) measure to assess SNS use disorder and problematic SNS use in the form of the SNS use disorder Test-10 (SNS-DT-10) questionnaire, and assessing its validity and reliability. The study was conducted in three phases: First, the IGDT-10 questionnaire was translated and adapted to assess SNS use disorder, and content validity was assessed. Then, a sample of 126 students from the Tehran University of Medical Sciences was used to determine internal consistency and construct validity using confirmatory factor analysis. Finally, retest data from 87 participants were used to estimate test–retest reliability. Item content validity indices were above . 80 and scale content validity indices surpassed . 83. The root mean square error of approximation for the 1-factor model was . 04 and the comparative fit and Tucker–Lewis fit indices were . 97 and . 96, respectively, indicating appropriate construct validity. The intra-class correlation coefficient of the number of positive criteria for SNS use disorder was . 81 and the Kappa coefficients for SNS use disorder and problematic SNS use were . 85 and . 57. Cronbach’s alpha was . 79 for the entire questionnaire. Overall, the SNS-DT-10 questionnaire has appropriate content and construct validity, internal consistency, and test–retest reliability. Further validation of this questionnaire in larger and more diverse samples and comparison with professional clinical diagnostic interviews are warranted.
Relationship between leukaemic stem cells and hematopoietic stem cells and their clinical application

Abstract The world is aging and with it an associated increase in malignancies. Haematological malignancies especially Acute Myeloid Leukemia (AML) are no exception to this trend. With scientific advances, development of new AML treatments has improved patient mortality. One future research interest would be Leukeamic Stem Cells (LSC). This review aims to briefly highlight main LSC characteristics and their relationship with hematopoietic stem cells. Key LSC characteristics include dysregulated apoptosis, capacity for self-renewal, genomic instability, dysregulated energetics, immune privilege and an altered tumor microenvironment. Similar characteristics are also found in HSCs though in a regulated form. Classifying these characteristics will aid in the development of clinical biomarkers for LSC which is a potential clinical application of LSC biology. LSC biomarkers might prove to be critical in future AML management through improving accuracy of AML diagnosis, providing targeted treatment to minimize side effects, refinement of prognosis and relapse risk for earlier intervention.
Patches of Dysflective Cones in Eyes With No Known Disease

Purpose To characterize the structure and function of patches of dysflective cones in the foveal region of subjects with normal vision and no known pathology. Dysflective cones are cones that have little or no reflective properties in optical coherence tomography (OCT) or adaptive optics scanning laser ophthalmoscope (AOSLO) images yet exhibit measurable function. Methods AOSLO images were surveyed for the presence of hyporeflective cone patches, and subjects were brought back for imaging to determine the changes in the hyporeflective region. Adaptive optics microperimetry (AOMP) was used to assess the function of hyporeflective patches in four subjects to determine that they did, in fact, contain dysflective cones. AOMP utilized a stimulus size of less than 1 arcmin to measure thresholds inside and outside the hyporeflective region. Results Nineteen out of 47 individuals retrospectively reviewed had one or more regions with hyporeflective cone patches in one or both eyes. Ten subjects with hyporeflective cone patches were brought back for imaging. Seven of the 10 had resolved at follow up, and in three subjects new hyporeflective patches appeared in a different location. All AOMP-measured subjects had measurable function in the dysflective cone region. Three out of four subjects showed no difference in light sensitivity in the dysflective region compared to adjacent areas, and one subject showed a 3× reduction in sensitivity in the area. Conclusions Patches of dysflective cone have been identified in subjects with normal vision and no known pathology, and we have observed instances where dysflective cones in these subjects regain normal reflective properties.
Facial Edema Associated with Dasatinib: Case Report with Successful Treatment

Introduction Tyrosine kinase inhibitors (TKI) are an effective treatment option for chronic myeloid leukemia (CML). The most common associated adverse effects of TKI include thrombocytopenia, neutropenia, nausea, vomiting, and diarrhea. Facial edema is a rare adverse reaction that may cause significant psychological burden. Treatment is life-long in many cases therefore it is vital to have options available to manage these adverse effects. Case report We present a 70-year-old female with a medical history of CML, diabetes, hypertension, and hypercholesterolemia who presented to our dermatology clinic for chief complaint of worsening edematous facial rash beginning after initiation of dasatinib. We were able to achieve significant improvement with a regimen that allowed her to remain on dasatinib. Management and outcome We treated the patient with a novel, unreported regimen of topical metronidazole 1% gel to be applied every morning and topical tacrolimus 0.1% ointment to be applied twice daily. She had significant improvement with the treatment and was continued on this topical regimen indefinitely. Discussion Previous reports of treatment options available for TKI-associated facial edema include topical and systemic corticosteroids, which can cause long-term side effects int the context of long-term TKI use. Our patient achieved an acceptable reduction in facial edema and rash with our combination regimen of metronidazole gel and tacrolimus ointment. We present the only such case of successful treatment of facial edema associated with a tyrosine kinase inhibitor. We encourage future studies on the efficacy and safety of this regimen to treat this adverse effect.
Approximate profile likelihood estimation for Cox regression with covariate measurement error

In nutritional epidemiology, measurement error in covariates is a well‐known problem since dietary intakes are usually assessed through self‐reporting. In this article, we consider an additive error model in which error variables are highly correlated, and propose a new method called approximate profile likelihood estimation (APLE) for covariates measured with error in the Cox regression. Asymptotic normality of this estimator is established under regularity conditions, and simulation studies are conducted to examine the finite sample performance of the proposed estimator empirically. Moreover, the popular correction method called regression calibration is shown to be a special case of APLE. We then apply APLE to deal with measurement error in some nutrients of interest in the EPIC‐InterAct Study under a sensitivity analysis framework.
Anthocyanins Inhibit Airway Inflammation by Downregulating the NF-κB Pathway via the miR-138-5p/SIRT1 Axis in Asthmatic Mice

Objective: Asthma, caused by chronic inflammation, is a common disease. Anthocyanins are involved in asthma treatment. This study explored the mechanism of anthocyanins on airway inflammation in asthmatic mice by regulating nuclear factor-κB (NF-κB) via the miR-138-5p/sirtuin-1 (SIRT1) axis. Methods: The asthmatic mouse model was established by ovalbumin (OVA) induction and treated with anthocyanins or simultaneously injected with the lentivirus miR-138-5p mimic, followed by the measurement of lung inflammatory injury and IL-4, IL-5, IL-13, and IFN-γ levels in bronchoalveolar lavage fluid. Human bronchial epithelial (HBE) cells 16HBE14o-160 were induced by OVA to establish an asthmatic cell model, treated with anthocyanins and manipulated with miR-138-5p mimic and pcDNA3.1-SIRT1. The releases of inflammatory cytokines, the nuclear translocation of p-p65/p65 in the NF-κB pathway, and the levels of miR-138-5p and SIRT1 mRNA were detected. Results: In vivo experiments showed that anthocyanins could reduce the OVA-induced airway hyperresponsiveness and airway inflammation, improve the inflammatory infiltration and mucus in lung tissues, and diminish the miR-138-5p level in asthmatic mice. Infection with the miR-138-5p mimic averted the remission effect of anthocyanins in asthmatic mice. In vitro experiments showed that in HBE cells exposed to OVA, anthocyanins reduced the miR-138-5p level, increased the SIRT1 level, inhibited the release of inflammatory factors, and reduced the nuclear translocation of NF-κB p65. miR-138-5p targeted SIRT1. miR-138-5p overexpression partially reversed the therapeutic effect of anthocyanins, while SIRT1 overexpression antagonized the effect of miR-138-5p overexpression. Conclusion: Anthocyanins inhibited the NF-κB pathway by regulating the miR-138-5p/SIRT1 axis, thus inhibiting airway inflammation in asthmatic mice.
Factors Associated with Macular Staphyloma Area on Ultra-widefield Fundus Images

Purpose To assess the feasibility of applying ultra-widefield fundus (UWF) images for macular staphyloma area (MSA) measurement and investigate the associated factors with MSA. Methods This is a retrospective study. MSA was measured by UWF imaging. Central foveal thickness, subfoveal choroidal thickness, subfoveal scleral thickness were measured on spectral domain optical coherence tomography. Intraclass correlation coefficients of MSA measurement would be evaluated. Multiple linear regression analysis was used to analyze the associated factors with MSA. Results In total, 135 eyes of 92 patients were enrolled. The mean age was 64.73 ± 10.84 years. Mean MSA on UWF image was 279.67 ± 71.70 mm2. Intraclass correlation coefficients of MSA measurement was 0.965 (95% confidence interval [CI], 0.946 to 0.977; p < 0.001). In the multiple linear regression analysis, after adjusting for subfoveal choroidal thickness, best-corrected visual acuity, central foveal thickness, and subfoveal scleral thickness, the factors independently related to MSA were axial length (β = 8.352; 95% CI, 3.306 to 13.398; p = 0.001), sex (β = −26.673; 95% CI, −51.759 to −1.586; p = 0.037), age (β = 1.184; 95% CI, 0.020 to 2.348; p = 0.046). Conclusions It is feasible to measure MSA on UWF image. Female, longer axial length, and older age may indicate larger MSA.
Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development

Background In contrast to all other areas of medicine, psychiatry is still nearly entirely reliant on subjective assessments such as patient self-report and clinical observation. The lack of objective information on which to base clinical decisions can contribute to reduced quality of care. Behavioral health clinicians need objective and reliable patient data to support effective targeted interventions. Objective We aimed to investigate whether reliable inferences—psychiatric signs, symptoms, and diagnoses—can be extracted from audiovisual patterns in recorded evaluation interviews of participants with schizophrenia spectrum disorders and bipolar disorder. Methods We obtained audiovisual data from 89 participants (mean age 25.3 years; male: 48/89, 53.9%; female: 41/89, 46.1%): individuals with schizophrenia spectrum disorders (n=41), individuals with bipolar disorder (n=21), and healthy volunteers (n=27). We developed machine learning models based on acoustic and facial movement features extracted from participant interviews to predict diagnoses and detect clinician-coded neuropsychiatric symptoms, and we assessed model performance using area under the receiver operating characteristic curve (AUROC) in 5-fold cross-validation. Results The model successfully differentiated between schizophrenia spectrum disorders and bipolar disorder (AUROC 0.73) when aggregating face and voice features. Facial action units including cheek-raising muscle (AUROC 0.64) and chin-raising muscle (AUROC 0.74) provided the strongest signal for men. Vocal features, such as energy in the frequency band 1 to 4 kHz (AUROC 0.80) and spectral harmonicity (AUROC 0.78), provided the strongest signal for women. Lip corner–pulling muscle signal discriminated between diagnoses for both men (AUROC 0.61) and women (AUROC 0.62). Several psychiatric signs and symptoms were successfully inferred: blunted affect (AUROC 0.81), avolition (AUROC 0.72), lack of vocal inflection (AUROC 0.71), asociality (AUROC 0.63), and worthlessness (AUROC 0.61). Conclusions This study represents advancement in efforts to capitalize on digital data to improve diagnostic assessment and supports the development of a new generation of innovative clinical tools by employing acoustic and facial data analysis.
A Model for in-Simulation Assessment

Simulations are a relatively well-known concept in training situations. Simulations allow the player's competencies for handling specific situations in-simulation to directly benefit the player in real-world situations. We presented a study on the use of a well-known business simulation game package, MarkStrat, to investigate the pedagogical outcomes for strategic management development. The experience of using MarkStrat lead us to develop an approach model what would enable us to develop pedagogically informed in simulation assessments. We will be using this pedagogically inform framework for in-simulation assessment in the simulations we are currently developing for a number of companies.