Miracle-dz/UniFAR-FTUs huggingface dataset:
Medical science an undervalued profession: Strengthening professional identity through union strategy

This paper examines the factors that have led to the undervaluing of the medical science profession and how a union can take a strategic approach to strengthen the professional identity of its membership to overcome challenges. We draw on interviews with union officials and managers and focus groups with medical scientists in four health services in Victoria, Australia. Drawing on the union strategy literature, we argue that professional identity is related in a recursive way to the attitudinal context and the narrative capabilities of the union. We found that first, many medical scientists believed that medical science was invisible and undervalued contributing to a weak professional identity due to underlying structural and institutional factors. Second, this has been exacerbated by the attitudinal context in which the profession has been subordinated to the other stronger professions of doctors and nurses. Third, we report the union is attempting to strengthen the professional identity of medical scientists through developing union campaigns with a narrative around work intensification and the critical nature of medical science work. Union strategy underpinned by union campaigns seeks to transform medical scientists’ attitudinal context by harnessing their sense of associational power through narrative capabilities to strengthen professional identity.
Molecular Mechanism of Tocotrienol-Mediated Anticancer Properties: A Systematic Review of the Involvement of Endoplasmic Reticulum Stress and Unfolded Protein Response

Background: Tocotrienol, a type of vitamin E, is well known for its anti-cancer and other biological activities. This systematic review aims to summarize the involvement of endoplasmic reticulum stress (ERS) and subsequent unfolded protein response (UPR) as the underlying molecular mechanisms for the anticancer properties of tocotrienol. Method: A comprehensive literature search was performed in March 2023 using the PubMed, Scopus, Web of Science, and EMBASE databases. In vitro, in vivo, and human studies were considered. Result: A total of 840 articles were retrieved during the initial search, and 11 articles that fit the selection criteria were included for qualitative analysis. The current mechanistic findings are based solely on in vitro studies. Tocotrienol induces cancer cell growth arrest, autophagy, and cell death primarily through apoptosis but also through paraptosis-like cell death. Tocotrienol-rich fractions, including α-, γ- and δ-tocotrienols, induce ERS, as evidenced by upregulation of UPR markers and/or ERS-related apoptosis markers. Early endoplasmic reticulum calcium ion release, increased ceramide level, proteasomal inhibition, and upregulation of microRNA-190b were suggested to be essential in modulating tocotrienol-mediated ERS/UPR transduction. Nevertheless, the upstream molecular mechanism of tocotrienol-induced ERS is largely unknown. Conclusion: ERS and UPR are essential in modulating tocotrienol-mediated anti-cancer effects. Further investigation is needed to elucidate the upstream molecular mechanism of tocotrienol-mediated ERS.
Analysis of Dental Enamel Remineralization: A Systematic Review of Technique Comparisons

The demineralization process conditions the structure of the enamel and begins with a superficial decalcification procedure that makes the enamel surface porous and gives it a chalky appearance. White spot lesions (WSLs) are the first clinical sign that can be appreciated before caries evolves into cavitated lesions. The years of research have led to the testing of several remineralization techniques. This study’s objective is to investigate and assess the various methods for remineralizing enamel. The dental enamel remineralization techniques have been evaluated. A literature search on PubMed, Scopus, and Web of Science was performed. After screening, identification, and eligibility processes 17 papers were selected for the qualitative analysis. This systematic review identified several materials that, whether used singly or in combination, can be effective in the process of remineralizing enamel. All methods have a potential for remineralization when they come into contact with tooth enamel surfaces that have early-stage caries (white spot lesions). From the studies conducted in the test, all of the substances used to which fluoride has been added contribute to remineralization. It is believed that by developing and researching new remineralization techniques, this process might develop even more successfully.
DrOGA: An Artificial Intelligence Solution for Driver-Status Prediction of Genomics Mutations in Precision Cancer Medicine

Precision cancer medicine suggests that better cancer treatments would be possible guiding therapies by tumor’s genomics alterations. This hypothesis boosted exome sequencing studies, collection of cancer variants databases and developing of statistical and Machine Learning-driven methods for alterations’ analysis. In order to extract relevant information from huge exome sequencing data, accurate methods to distinguish driver and neutral or passengers mutations are vital. Nevertheless, traditional variant classification methods have often low precision in favour of higher recall. Here, we propose several traditional Machine Learning and new Deep Learning techniques to finely classify driver somatic non-synonymous mutations based on a 70-features annotation, derived from medical and statistical tools. We collected and annotated a complete database containing driver and neutral alterations from various public data sources. Our framework, called Driver-Oriented Genomics Analysis (DrOGA), presents the best performances compared to individual and other ensemble methods on our data. Explainable Artificial Intelligence is used to provide visual and clinical explanation of the results, with a particular focus on the most relevant annotations. This analysis and the proposed tool, along with the collected database and the feature engineering pipeline suggested, can help the study of genomics alterations in human cancers allowing precision oncology targeted therapies based on personal data from next-generation sequencing.
Preparation and Lubricating Properties of Polystyrene Composite Microspheres

In order to improve the lubrication performance of polystyrene microspheres (PS) as solid lubricant in drilling fluids, elastic graphite–polystyrene composite microspheres (EGR/PS), montmorillonite–elastic graphite–polystyrene composite microspheres (OMMT/EGR/PS), and polytetrafluoroethylene–polystyrene composite microspheres (PTFE/PS) were prepared by suspension polymerization. OMMT/EGR/PS has a rough surface, while the surfaces of the other three composite microspheres are smooth. Among the four kinds of composite microspheres, the largest particle is OMMT/EGR/PS, and the average size is about 400 μm. The smallest particle is PTFE/PS, and the average size is about 49 μm. Compared with pure water, the friction coefficient of PS, EGR/PS, OMMT/EGR/PS and PTFE/PS reduced by 25%, 28%, 48%, and 62%, respectively. The wear tracks of EGR/PS, OMMT/EGR/PS and PTFE/PS are narrower and smoother than those of pure water. When the content of PTFE is 4.0 wt%, the friction coefficient and wear volume of PTFE/PS are 0.213 and 2.45 × 10−4 mm3—74% and 92.4% lower than that of pure water, respectively.
Lightweight Structural Biomaterials with Excellent Mechanical Performance: A Review

The rational design of desirable lightweight structural materials usually needs to meet the strict requirements of mechanical properties. Seeking optimal integration strategies for lightweight structures and high mechanical performance is always of great research significance in the rapidly developing composites field, which also draws significant attention from materials scientists and engineers. However, the intrinsic incompatibility of low mass and high strength is still an open challenge for achieving satisfied engineering composites. Fortunately, creatures in nature tend to possess excellent lightweight properties and mechanical performance to improve their survival ability. Thus, by ingenious structure configuration, lightweight structural biomaterials with simple components can achieve high mechanical performance. This review comprehensively summarizes recent advances in three typical structures in natural biomaterials: cellular structures, fibrous structures, and sandwich structures. For each structure, typical organisms are selected for comparison, and their compositions, structures, and properties are discussed in detail, respectively. In addition, bioinspired design approaches of each structure are briefly introduced. At last, the outlook on the design and fabrication of bioinspired composites is also presented to guide the development of advanced composites in future practical engineering applications.
Behaviour of high sensitivity MOS radiation dosimeters biased in the MTC current region

The influence of temperature on the electrical properties of thick oxide p-MOS transistors which is the main parameter controlling the accuracy of MOS ionising radiation dosimeters is investigated. It is shown that in order to reduce uncertainties due to temperature variation during read-out the working point should be chosen according to the temperature range of interest during operation.
VIOLA jones algorithm with capsule graph network for deepfake detection

DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces. Moreover, the capability of current methods to detect fake faces is minimal. Many recent types of research have made the fake detection algorithm from rule-based to machine-learning models. However, the emergence of deep learning technology with intelligent improvement motivates this specified research to use deep learning techniques. Thus, it is proposed to have VIOLA Jones’s (VJ) algorithm for selecting the best features with Capsule Graph Neural Network (CN). The graph neural network is improved by capsule-based node feature extraction to improve the results of the graph neural network. The experiment is evaluated with CelebDF-FaceForencics++ (c23) datasets, which combines FaceForencies++ (c23) and Celeb-DF. In the end, it is proved that the accuracy of the proposed model has achieved 94.
Automatic weight selection for H ∞ controller synthesis

This article is concerned with the development of a procedure to calculate the parameters of weighting functions used in H∞ controller designs to achieve a desired system performance. The H∞ synthesis problem is formulated as a multi-criterion optimization problem. A Genetic Algorithm is then employed to search for suitable solutions. To cope with the imprecision and vagueness that arises in the description of objective functions and constraints of the process and actuators, concepts from the fuzzy logic are incorporated into the solution. A multi-objective fuzzy optimization is stated and a fuzzy convex decision-making is established. To demonstrate the advantages of the proposed method, the tuning of SISO and MIMO controllers are investigated. The method is applied to the tuning of controllers of a ship autopilot and of a dynamic ship positioning system. Results are presented, analyzed and compared to former works.
Estimation des résidus de la matrice de diffusion associés à des résonances de forme I

Le but de cette etude est l'estimation semiclassique des residus de la matrice de diffusion S(λ) associes a des resonances de forme, pour des operateurs de Schrodinger a deux corps P = -h 2 Δ + V(x) ou V est un potentiel a longue portee. En l'absence de caustiques, nous obtenons un developpement B.K. W a l'infini de l'etat resonnant au voisinage de toute bicaracteristique de P. Grâce a ce developpement, nous obtenons une estimation du residu du noyau S(λ, h, ω, ω') de S(λ), qui se trouve etre soit comparable a la largeur de la resonance, soit beaucoup plus petit selon que (ω, ω') appartient ou non a un certain ensemble explicitement decrit.
CMOS compatible electrode materials selection in oxide-based memory devices

Electrode materials selection guidelines for oxide-based memory devices are constructed from the combined knowledge of observed device operation characteristics, ab-initio calculations, and nano-material characterization. It is demonstrated that changing the top electrode material from Ge to Cr to Ta in the Ta2O5-based memory devices resulted in a reduction of the operation voltages and current. Energy Dispersed X-ray (EDX) Spectrometer analysis clearly shows that the different top electrode materials scavenge oxygen ions from the Ta2O5 memory layer at various degrees, leading to different oxygen vacancy concentrations within the Ta2O5, thus the observed trends in the device performance. Replacing the Pt bottom electrode material with CMOS compatible materials (Ru and Ir) further reduces the power consumption and can be attributed to the modification of the Schottky barrier height and oxygen vacancy concentration at the electrode/oxide interface. Both trends in the device performance and EDX results are c.
Transient Luminous Events and Their Relationship to Lightning Strokes Over the Tibetan Plateau and Its Comparison Regions

This study investigates the relationship between transient luminous events (TLEs) and lightning strokes, and the characteristics of TLE‐producing thunderstorms over the Tibetan Plateau (TP), and compares them to those over the Yangtze‐River Delta (YRD) and East China Sea (ECS) where at the same latitude during 2005–2015. The data were collected using the Imager of Sprites and Upper Atmospheric Lightning (ISUAL) and the World Wide Lightning Location Network (WWLLN) observations. Elves, sprites and halo (abbreviated as ESHs) were dominantly detected over the southeastern TP (∼88%), mostly in August and September (∼81%). Different from the southeastern TP, the detected sprites and sprite‐to‐lightning stroke ratios over the YRD were larger in spring than those in summer and autumn. Halos were frequently observed in August over all study regions. Blue jets were only detected over the YRD. The density of TLEs over the southeastern TP was three times smaller than those over the YRD and ECS, while the density of elves over the southeastern TP was slightly larger than that over the YRD. The average energy of TLE‐related lightning strokes based on WWLLN was found to be larger over the southeastern TP compared to the YRD and ECS. The ESH‐producing clouds over the southeastern TP had a larger scale with a lower lightning frequency than those over the YRD.
3D Reconstruction of Architectural Objects from Photos

An algorithm of the 3D reconstruction is based on model to image correspondence, which gives possibility to use constraints of a model for calculation of camera and model parameters. Models are assembled from simple ready parametric blocks by modeler. Each block is composed from convex plane faces, described in text form. Blocks are mutually arranged, aligned and constrained to minimize the number of total parameters of a model. Some edges of an object are marked on the images by line segments and on the model simply by pointing them. Procedure of reconstruction minimizes the sum of distances between marked and projected edges on images by variation of model and camera parameters. If input information is sufficient, camera position and orientation with respect to the model, its focal length, and exact dimensions of the model are calculated. Received in such a way model of an object and camera parameters for each image provide the basis for subsequent operations: textures assignment, lighting conditions reconstruction. Finally the model can be exported to external 3D data formats.
The effects of trauma-informed yoga as an enhancement to the practice of EMDR for posttraumatic stress disorder: an exploratory pilot study

ABSTRACT This novel pilot study assesses if Trauma-Informed Yoga (TIY) provides a platform for promoting the preparatory and regulatory skills necessary for EMDR when treating PTSD. Nine clients completed two EMDR sessions per week for three weeks. One EMDR session was preceded by TIY. Surveys and exit interviews were administered to therapists and clients following each EMDR session. We found that practicing TIY prior to EMDR encouraged interoception, mind-body connectedness, tolerance, and relaxation, thus suggesting it is beneficial to EMDR.
Unsupervised selection of semantic relations for improving a distributional thesaurus (Sélection non supervisée de relations sémantiques pour améliorer un thésaurus distributionnel) [in French]

Unsupervised selection of semantic relations for improving a distributional thesaurus Work about distributional thesauri has shown that the relations in these thesauri are mainly reliable for high frequency words. In this article, we propose a method for improving such a thesaurus through its re-balancing in favor of low frequency words. This method is based on a bootstrapping mechanism : a set of positive and negative examples of semantically similar words are selected in an unsupervised way and used for training a supervised classifier. This classifier is then applied for reranking the semantic neighbors of the thesaurus used for example selection. We show how the relations between the mono-terms of similar nominal compounds can be used for performing this selection and how to associate this criterion with an already tested criterion based on the symmetry of semantic relations. We evaluate the interest of the global procedure for a large set of English nouns with various frequencies.
Nonbacterial Thrombotic Endocarditis of the Mitral Valve With Echocardiographic Appearances Mimicking a Papillary Fibroelastoma in a Middle-Aged Female Patient

Papillary fibroelastoma (PFE) and nonbacterial thrombotic endocarditis (NBTE) account for <1% of all cardioembolic strokes. When there is no evidence of infection, and an exophytic valve lesion is seen on echocardiography, PFE may be an initial imaging diagnosis. NBTE, or Libman-Sacks endocarditis, is a rare entity and can present with varied imaging findings. This report presents a case of embolic stroke and NBTE mimicking a PFE. We discuss a 49-year-old female with a past medical history of diabetes mellitus who presented with headache and right-hand numbness. The initial CT head was negative and the MRI brain showed multiple infarcts in the watershed areas where anterior and posterior brain circulation meet and overlap. A transesophageal echocardiogram (TEE) showed a left ventricle (LV) mass initially diagnosed as PFE. The patient was started on aspirin only with no anticoagulation since we thought the stroke was related to an embolus from a tumor, not a thrombus. The patient underwent surgery but the pathology report revealed a diagnosis of organizing thrombus with abundant neutrophilic infiltration and no neoplastic proliferation. This case report highlights the importance of a comprehensive evaluation of valvular masses and the diagnostic approaches currently available to help clinicians differentiate between various causes of embolic stroke like PFE, bacterial endocarditis, and NBTE. Early differentiation is critical because it can affect the treatment and outcome. This report shows that echocardiography of endocardial and valvular lesions may provide a differential diagnosis, but a definitive diagnosis requires microbiology and histopathology. Advanced imaging techniques such as cardiac CT or cardiac MRI may assist in identifying select cases that are at lower risk for subsequent embolic events, in which surgical intervention may safely be avoided.
V. The recurrent nova T Coronae Borealis

The flickering activity in the recurrent nova and sym- biotic star T CrB is investigated using light curves taken in the Johnson U band. In order to be able to compare the results with those of other CVs the contribution of the red giant secondary is first estimated and subtracted. It is found to be 10% on the average. The U band flux varies considerably over long time scales, but the ratio of the flux of the flickering light source and the quiet part of the primary remains constant. This is in contrast to the behaviour of dwarf novae around the outburst cycle. A wavelet analysis reveils a remarkable constancy of the distribution of flickering energy among different time scales as compared to other CVs. With the exception of the particular, not well understood feature that the activity can disappear temporar- ily, flickering in T CrB is on the whole indistinguishable from that in normal cataclysmic variables, in particular in classical novae, although the geometrical dimensions are very different. This is one more indication that the vicinity of a white dwarf, being of similar size in all CVs independent of their absolute dimensions, is the site of the flickering.
Advancing spinal cord injury research with optical clearing, light sheet microscopy, and artificial intelligence-based image analysis

From the days of Ramon y Cajal’s first sketches, neuroscientists have recognized the importance of visualizing the complex architecture of the central nervous system. In the past century, we have come to appreciate how the rich structural and functional complementarity of axons and cell types in the spinal cord make it uniquely suited for information transfer between the periphery and the brain. However, appreciating these relationships has been limited by the lowthroughput histology techniques in common usage. For example, axon projections span many spinal segments, traversing centimeters to meters (depending on the species), with many spinal nuclei also occupying more than one spinal level. Spinal cord injuries also disrupt many levels of the spinal cord, with secondary inflammatory responses reaching far beyond the epicenter and surrounding penumbra after injury. These injuries affect the primary injury site, the penumbra, and descending and ascending white matter tracts that pass through the injury site, ultimately impacting communication between the periphery, the spinal cord, and the supraspinal structures. Therefore, holistically examining spinal structures or injuries that span multiple segments with two-dimensional (2D) sections is extremely challenging. At best, 2D sections can give a snapshot of axons and neighboring cells, however, they provide no information about axon trajectory and only offer variable representations of cells in any given cross-section. Additionally, these approaches are labor-intensive and can only produce short reconstructions of projection axons in sparsely labeled samples due to the optical limitations associated with imaging thick tissue sections. These drawbacks may severely limit the novelty, scope, and impact of studies, as useful data is left uncollected due to the biased nature and technical limitations of traditional 2D histology and imaging techniques. In light of these disadvantages and the difficulty in acquiring samples from complex SCI experiments, tools that can effectively resolve structures across multiple scales, from the tissue to the subcellular level, while preserving spatial relationships, are highly needed.