Miracle-dz/UniFAR-FTUs huggingface dataset:
Fatigue crack threshold and growth behaviour in a near fully-lamellar gamma based titanium aluminides

Fatigue crack threshold (\(D\)K\(_{th}\)) and fatigue crack growth of a near fully-lamellar \(y\)-TiAl alloy (Ti-4522XD alloy) have been investigated in air at room temperature, 400, 650, 700 and 750 oC and at three R ratios (0.1, 0.5 and 0.8). Studies were carried out on both corner-cracked specimens and smooth specimens. A combination of a \(D\)K- increasing loading method and growing a crack from notch were applied throughout the tests. As a consequence of consistent material microstructure, use of standardized testing procedure and a sufficient number of tests, some trends in fatigue threshold and crack growth have been established, including: trends include: lack of dependence of (\(D\)K\(_{th}\)) values on test temperature; average (\(D\)K\(_{th}\)) values decrease with increasing R ratio; a strong dependence of crack growth rate on K\(_{max}\) values at RT; a reduced dependence of crack growth rate on K\(_{max}\) values and increased plasticity at elevated temperatures; crack blunting causes a reduction of fatigue crack growth rate at R=0.8 and at elevated temperatures; and little effect of test temperature on ‘fracture toughness’ values. Above all, the origins of naturally initiated cracks under cyclic loading are often found to be centered on up to four colonies which have failed by interlamellar fracture.
A fast and robust point tracking algorithm

We present an algorithm that efficiently tracks a predefined set of landmark points in a time sequence of images. The algorithm iteratively optimizes the correspondences between the point measurements in the images, while allowing for spurious and missing point measurements. This trajectory based approach hypothesizes missing points by interpolation. Spurious measurements are either left our because they do not form the optimal correspondences or are removed afterwards if they have the smoothness or other constraint exceed its predetermined maximum.
Hybrid Model For Word Prediction Using Naive Bayes and Latent Information

Historically, the Natural Language Processing area has been given too much attention by many researchers. One of the main motivation beyond this interest is related to the word prediction problem, which states that given a set words in a sentence, one can recommend the next word. In literature, this problem is solved by methods based on syntactic or semantic analysis. Solely, each of these analysis cannot achieve practical results for end-user applications. For instance, the Latent Semantic Analysis can handle semantic features of text, but cannot suggest words considering syntactical rules. On the other hand, there are models that treat both methods together and achieve state-of-the-art results, e.g. Deep Learning. These models can demand high computational effort, which can make the model infeasible for certain types of applications. With the advance of the technology and mathematical models, it is possible to develop faster systems with more accuracy. This work proposes a hybrid word suggestion model, based on Naive Bayes and Latent Semantic Analysis, considering neighbouring words around unfilled gaps. Results show that this model could achieve 44.2% of accuracy in the MSR Sentence Completion Challenge.
Identification of Cutaneous Functional Units Related to Burn Scar Contracture Development

The development of burn scar contractures is due in part to the replacement of naturally pliable skin with an inadequate quantity and quality of extensible scar tissue. Predilected skin surface areas associated with limb range of motion (ROM) have a tendency to develop burn scar contractures that prevent full joint ROM leading to deformity, impairment, and disability. Previous study has documented forearm skin movement associated with wrist extension. The purpose of this study was to expand the identification of skin movement associated with ROM to all joint surface areas that have a tendency to develop burn scar contractures. Twenty male subjects without burns had anthropometric measurements recorded and skin marks placed on their torsos and dominant extremities. Each subject performed ranges of motion of nine common burn scar contracture sites with the markers photographed at the beginning and end of motion. The area of skin movement associated with joint ROM was recorded, normalized, and quantified as a percentage of total area. On average, subjects recruited 83% of available skin from a prescribed area to complete movement across all joints of interest (range, 18–100%). Recruitment of skin during wrist flexion demonstrated the greatest amount of variability between subjects, whereas recruitment of skin during knee extension demonstrated the most consistency. No association of skin movement was found related to percent body fat or body mass index. Skin recruitment was positively correlated with joint ROM. Fields of skin associated with normal ROM were identified and subsequently labeled as cutaneous functional units. The amount of skin involved in joint movement extended far beyond the immediate proximity of the joint skin creases themselves. This information may impact the design of rehabilitation programs for patients with severe burns.
An improved thin-film microelectrode array and signal conditioning board for measuring cardiac surface potentials.

The work outlined in this thesis expanded on previous work to improve a thin-film microfabricated electrode array intended for cardiac electrophysiology studies. A thin layer of silver was added in between titanium and platinum electrical trace layers to reduce electrode resistance. A 200 nm layer of silver decreased electrode resistance by an order of magnitude. In addition, a new high quality signal conditioning board was developed using precision operational amplifiers from Texas Instruments. Both new sensor and board design were verified together through in vivo studies using rabbit, goat, and dog hearts. TABLE OF CONTENTS APPROVAL PAGE ACKNOWLEDGEMENTS ABSTRACT TABLE OF CONTENTS LIST OF TABLES LIST OF FIGURES
Computational solid mechanics (finite elements and boundary elements) - Present status and future directions

Computational finite-element and boundary-element methods are reviewed, and their application to the mechanics of solids is discussed. Stability conditions for general FEMs are considered in addition to the use of least-order, stable, invariant, or hybrid/mixed isoparametric elements as alternatives to the displacement-based isoparametric elements. The use of symbolic manipulation, adaptive mesh refinement, transient dynamic response, and boundary-element methods for linear elaslticity and finite-strain problems of inelastic materials are also discussed.
Exploring sensor data management

The increasing availability of cheap, small, low-power sensor hardware and the ubiquity of wired and wireless networks has led to the prediction that `smart evironments' will emerge in the near future. The sensors in these environments collect detailed information about the situation people are in, which is used to enhance information-processing applications that are present on their mobile and `ambient' devices. Bridging the gap between sensor data and application information poses new requirements to data management. This report discusses what these requirements are and documents ongoing research that explores ways of thinking about data management suited to these new requirements: a more sophisticated control flow model, data models that incorporate time, and ways to deal with the uncertainty in sensor data.
Ultrasonic Spray Pyrolysis for Synthesis of Spherical Zirconia Particles

This paper presents new findings on ultrasonic spray pyrolysis of zirconium hydroxyl acetate precursor drops whose sizes were precisely measured using laser light diffraction technique. Precursor concentration plays a predominant role in determination of product particle size. At 0.01 wt% precursor concentration, conventional spray pyrolysis at 750°C using precursor drops 5–8 μm in diameter, generated by an ultrasonic nebulizer at 2.66 MHz, yielded uniform spherical yttria-stabilized zirconia (YSZ) particles 73 nm in diameter measured by scanning electron microscopy. The YSZ particle diameters were much smaller than those predicted by the one-particle-per-drop mechanism. Under similar reaction conditions, the high-throughput ultrasound-modulated two-fluid (UMTF) spray pyrolysis of larger precursor drops (28-μm peak diameter) also yielded spherical dense particles; they were significantly smaller in size than those produced by the low-throughput conventional ultrasonic spray pyrolysis of smaller drops (6.8-μm peak diameter).
Microbubble-Mediated Sonothrombolysis Improves Outcome After Thrombotic Microembolism-Induced Acute Ischemic Stroke

Background and Purpose— Microthrombi originating from disintegrated clots or formed in situ may account for the poor clinical improvement of acute ischemic stroke after recanalization therapy. We attempted to determine whether microbubble-mediated sonothrombolysis could dissolve platelet-rich and erythrocyte-rich microthrombi, thereby reducing their brain injury-causing potential. Methods— Platelet- and erythrocyte-rich microthrombosis were induced by periadventitial application of 5% ferric chloride or thrombin to mesenteric microvessels in 75 Sprague–Dawley rats. Acute ischemic stroke was induced by intracarotid injection of platelet- or erythrocyte-rich microthrombi in another 50 rats. Rats were randomly divided into control (CON), ultrasound (US), ultrasound and microbubble (US+MB), recombinant tissue-type plasminogen activator (r-tPA), and US+MB+r-tPA groups. The post-treatment mesenteric microvessel recanalization rates, cerebral infarct volumes, and neurological scores were determined. Results— The recanalization rates of platelet- and erythrocyte-rich microthrombi in mesenteric microvessels were higher (P<0.05), and the cerebral infarct volumes and neurological scores of rats with either microthrombi were lower in the US+MB group than in the CON group (P<0.01). The infarct volumes and neurological scores were greater in the r-tPA group than in the US+MB and US+MB+r-tPA groups after treatment of rats with platelet-rich microthrombi (P<0.05). In contrast, after treatment of rats with erythrocyte-rich microthrombi, the infarct volumes and neurological scores were similar in the r-tPA and US+MB groups, but smaller in the US+MB+r-tPA group (P<0.05). Conclusions— Microbubble-mediated sonothrombolysis improved the outcomes of microthrombi-induced acute ischemic stroke. Thus, this method may serve as an attractive adjunct to recanalization therapy for acute ischemic stroke.
A region of interest prediction method for real-time online dynamic magnetic resonance imaging

Previously, online dynamic magnetic resonance imaging (dMRI) method based on motion estimate and motion compensation (ME/MC) technique was proposed, which reconstruct each frame immediately after its data have been acquired. ME/MC technique was used to predict current frame and can provide more sparser difference signal between frames for compressed sensing (CS) based reconstruction. In this study, a novel ME/MC prediction method based on region of interest (ROI) was proposed. ME/MC prediction is only applied on dramatically changing regions (ROI region), with the static regions predicted directly from previous frame. Retrospective study with cardiac cine data shown that proposed online dMRI scheme based on MPOD reconstruction with ME/MC prediction in ROI can not only accelerate the online reconstruction, but also provide higher image quality than that of the method based ME/MC technique.
Genome research in pre-dementia stages of Alzheimer's disease

Genetic characterization of individuals at risk of Alzheimer's disease (AD), i.e. people having amyloid deposits in the brain without symptoms, people suffering from subjective cognitive decline (SCD) or mild cognitive impairment (MCI), has spurred the interests of researchers. However, their pre-dementia genetic profile remains mostly unexplored. In this study, we reviewed the loci related to phenotypes of AD, MCI and SCD from literature and performed the first meta-analyses evaluating the role of apolipoprotein E (APOE) in the risk of conversion from a healthy status to MCI and SCD. For AD dementia risk, an increased number of loci have been identified; to date, 28 genes have been associated with Late Onset AD. In MCI syndrome, APOE is confirmed as a pheno-conversion factor leading from MCI to AD, and clusterin is a promising candidate. Additionally, our meta-analyses revealed APOE as genetic risk factor to convert from a healthy status to MCI [OR = 1.849 (1.587–2.153); P = 2.80 × 10−15] and to a lesser extent from healthy status to SCD [OR = 1.151 (1.015–1.304); P = 0.028]. Thus, we believe that genetic studies in longitudinal SCD and MCI series may provide new therapeutic targets and improve the existing knowledge of AD. This type of studies must be completed on healthy subjects to better understand the natural disease resistance to brain insults and neurodegeneration.
Plasma Resuscitation Promotes Coagulation Homeostasis Following Shock-Induced Hypercoagulability

Background: Increased thrombin generation in injured patients possibly contributes to early consumption of coagulation factors, exacerbating hemorrhage. Identifying optimal resuscitation products for restoring plasma homeostasis following injury is important for improving management of these patients. Objectives: To determine the effects of crystalloid versus plasma resuscitation on thrombin generation in a rat model of trauma and hemorrhagic shock (HS). Patients/Methods: Rats were subjected to trauma and HS followed by resuscitation with Lactated Ringer's solution (LR) or fresh frozen plasma (FFP). Blood was collected at baseline, decompensation, and 3-h post-resuscitation. Thrombin generation was measured by calibrated automated thrombogram and antithrombin III (AT) by ELISA. In a prospective observational study, admission blood samples were collected on highest-level activation trauma patients and diluted with LR or FFP for thrombin generation analysis. Results: Resuscitation with LR resulted in persistent hypercoagulability; however, FFP resuscitation reversed this hypercoagulability to baseline thrombin generation or below. Plasma AT levels decreased following HS and remained low in rats receiving LR, but were corrected in rats receiving FFP. Similarly, in trauma patient plasma LR increased thrombin generation while FFP reduced it. However, results with AT-deficient plasma dilution were similar to LR. In patients with admission hypocoagulability, FFP slightly increased thrombin generation. Conclusions: HS in rats is associated with increased thrombin generation and resuscitation with FFP, not LR, reverses hypercoagulability. Dilution of trauma patient plasma with LR or FFP yielded similar results; however, the modulatory effects of FFP were attenuated when AT was absent. Importantly, FFP reduced thrombin generation in hypercoagulable patient plasma, but slightly increased thrombin generation in hypocoagulable patient plasma. Thus, FFP restores hemostatic balance following trauma and HS which is, in part, by delivering AT.
Comparison of Visceral Fat and Liver Fat as Risk Factors of Metabolic Syndrome

The principal objective of this study was to determine whether visceral fat or liver fat is a more relevant risk factor for metabolic syndrome. A total of 98 subjects aged 18-65 yr, who visited a health promotion center in a university hospital, were enrolled in this study. Metabolic syndrome was diagnosed based on the modified National Cholesterol Education Program's Adult Treatment Panel III report (NCEP-ATPIII) criteria. We defined the visceral obesity as a visceral fat area of ≥ 100 cm2 which was acquired by CT at the L4-5 level. To evaluate fatty liver, we applied a liver-to-spleen attenuation ratio ≤ 1.1 as measured by CT at the T12 level. We employed binary logistic regression models that used the presence or absence of metabolic syndrome as a dependent variable and age, sex, and the presence or absence of visceral obesity and fatty liver as independent variables. Visceral obesity was not found to be an independent variable as a risk factor of metabolic syndrome (odds ratio 2.7; 95% confidence interval 0.55-13.30), but fatty liver was found to be significant in this model (odds ratio 71.3; 95% CI 13.04-389.53). Our study suggests that liver fat may be a more important risk factor than visceral fat in terms of its association with metabolic syndrome.
Suvorexant as an orexin antagonist may regulate serum glucose levels in psychiatric patients with insomnia

Disrupting circadian rhythms and sleep disorder have been implicated in the dysregulation of blood glucose and insulin levels and increasing the risk of type 2 diabetes (T2D). Hypothalamic orexin neurons, which are known to regulate sleep/wake stability, feeding behavior, autonomic nerve activity and energy metabolism, can bidirectionally regulate hepatic gluconeogenesis via control of autonomic balance, leading to generation of the daily blood glucose oscillation and preventing insulin resistance.1
Genetic characterisation of Langerin gene in human immunodeficiency virus-1-infected women from Bahia, Brazil

Studies on human genetic variations are a useful source of knowledge about human immunodeficiency virus (HIV)-1 infection. The Langerin protein, found at the surface of Langerhans cells, has an important protective role in HIV-1 infection. Differences in Langerin function due to host genetic factors could influence susceptibility to HIV-1 infection. To verify the frequency of mutations in the Langerin gene, 118 samples from HIV-1-infected women and 99 samples from HIV-1-uninfected individuals were selected for sequencing of the promoter and carbohydrate recognition domain (CRD)-encoding regions of the Langerin gene. Langerin promoter analysis revealed two single nucleotide polymorphisms (SNPs) and one mutation in both studied groups, which created new binding sites for certain transcription factors, such as NFAT5, HOXB9.01 and STAT6.01, according to MatInspector software analysis. Three SNPs were observed in the CRD-encoding region in HIV-1-infected and uninfected individuals: p.K313I, c.941C>T and c.983C>T. This study shows that mutations in the Langerin gene are present in the analysed populations at different genotypic and allelic frequencies. Further studies should be conducted to verify the role of these mutations in HIV-1 susceptibility.
Removal of Arsenic (V) from Aqueous Solutions Using Chitosan–Red Scoria and Chitosan–Pumice Blends

In different regions across the globe, elevated arsenic contents in the groundwater constitute a major health problem. In this work, a biopolymer chitosan has been blended with volcanic rocks (red scoria and pumice) for arsenic (V) removal. The effect of three blending ratios of chitosan and volcanic rocks (1:2, 1:5 and 1:10) on arsenic removal has been studied. The optimal blending ratio was 1:5 (chitosan: volcanic rocks) with maximum adsorption capacity of 0.72 mg/g and 0.71 mg/g for chitosan: red scoria (Ch–Rs) and chitosan: pumice (Ch–Pu), respectively. The experimental adsorption data fitted well a Langmuir isotherm (R2 > 0.99) and followed pseudo-second-order kinetics. The high stability of the materials and their high arsenic (V) removal efficiency (~93%) in a wide pH range (4 to 10) are useful for real field applications. Moreover, the blends could be regenerated using 0.05 M NaOH and used for several cycles without losing their original arsenic removal efficiency. The results of the study demonstrate that chitosan-volcanic rock blends should be further explored as a potential sustainable solution for removal of arsenic (V) from water.
Disparities in eating disorder diagnosis and treatment according to weight status, race/ethnicity, socioeconomic background, and sex among college students

OBJECTIVE Eating disorders (EDs) present a significant threat to the health of adolescents and young adults, yet remain under-diagnosed and under-treated at a population-level. EDs have historically been thought to afflict "skinny, white, affluent girls" (the SWAG stereotype). As such, higher-weight individuals, racial/ethnic minorities, those from socioeconomically disadvantaged backgrounds, and males may not recognize their need for treatment, may not be properly screened for EDs, and/or may not be referred to treatment. METHOD Using large-scale survey data from the healthy bodies study, we examined variations in prevalence of perceived need for ED treatment, ED diagnosis, past-year ED treatment, and treatment barriers according to weight status, race, socioeconomic background, and sex among undergraduate and graduate students with symptoms of an ED (N = 1,747). RESULTS Among students with symptoms of an ED, 30.7% perceived a need for treatment, 10.5% had received a diagnosis, and 13.6% had received treatment in the past year. Individual characteristics were highly associated with perceived need, diagnosis, and past-year treatment. Females were more likely than males to perceive a need for treatment (OR = 1.97), to be diagnosed (OR = 4.66), and to be treated (OR = 1.64) for their ED symptoms. Socioeconomic background was associated with perceived need for treatment and past-year treatment, with students from affluent backgrounds having higher odds of perceiving need (OR = 1.52) and of receiving treatment (OR = 1.89) compared with their non-affluent peers. DISCUSSION At a population-level, the unmet need for ED treatment disproportionately affects certain groups. Stereotypes about who develops EDs could contribute to disparities in ED treatment and outcomes.
Supporting people on fighting lesbian, gay, bisexual, and transgender (LGBT) prejudice: a critical codesign process

Lesbian, gay, bisexual, and transgender (LGBT) people face a range of daily struggles, including those experienced through digital media. Such issues are increasingly gaining space in software development and academia agendas. This paper addresses the subject by first providing a systematic review for both academic and mobile technical productions towards LGBT people, identifying some tendencies and opportunities. Then we show how such results have been influencing the outcome of an ongoing research which aims to build a tool to help prevent and fight prejudice against LGBT people in Brazil. Results of a critical codesign process are presented and discussed showing evidences of the methodology adequacy.
Improved edge enhancing diffusion filter for speckle-corrupted images

In the context of automatic image processing, the noise nearly always represents the hardest problem to cope with. This is particularly true on images corrupted by multiplicative speckle noise, such as Synthetic Aperture Radar (SAR) images. To tackle such an issue, this paper proposes a novel anisotropic diffusion filter that manages to fulfill simultaneously two competing requirements: noise reduction on homogeneous regions and edge enhancement. To prove the capabilities of our filter, we compare it to two non-local diffusion (NLD) filters applied on Lena image corrupted by a multiplicative speckle noise and on a real SAR image acquired by the COSMO-SkyMed (CSK) satellite constellation.