Miracle-dz/UniFAR-FTUs huggingface dataset:
Interprofessional Paediatric High-Fidelity Simulation Training: A Mixed Methods Study of Experiences and Readiness among Nursing and Medical Students

Background: Training in communication skills between nursing and medical students during interprofessional paediatric emergency simulation training represents a significant aspect of safe patient care. Evidence highlights that poor communication in paediatric emergency scenarios jeopardises patient safety. Through realistic simulations, students practice the communication strategies of crisis resource management (CRM), such as “closed-loop communication”, “speaking up”, and “team time-out”. Aims: In this study, we aimed to evaluate the impact of interprofessional simulation on enhancing teamwork and communication skills. Additionally, we sought to assess the occurrence of contexts for the three CRM communication strategies during simulations. Methods: Employing a mixed methods research design, the analysed students completed pre- and post-simulation online questionnaires. To measure attitudes towards interprofessional collaboration, we used the German version of the University of West England Interprofessional Questionnaire (UWE-IP_german), and to measure interprofessional attitudes, we used the Greifswald Questionnaire for the Measurement of Interprofessional Attitudes (Greif Mie), also in German, for both pre- and post-simulation. For qualitative video analysis, we utilised Grounded Theory Methodology (GTM). Results: Following simulation training, we observed a significant improvement (p > 0.001) in the subscale “attitude towards interprofessional learning” of the UWE-IP_german among nursing and medical students. Medical students consistently exhibited a significantly (p < 0.001) more positive attitude towards other professionals in both the pre- and post-simulation assessments. Overall, all the students expressed satisfaction with the interprofessional simulation training. In the qualitative selective coding process, the central phenomenon “participation” could be identified in the coding paradigm. Conclusion: This study presents substantial evidence of the learning impact of interprofessional paediatric simulation training on nursing and medical students.
Artifact reduction in magnetoneurography based on time-delayed second-order correlations

Artifacts in magnetoneurography data due to endogenous biological noise sources, like the cardiac signal, can be four orders of magnitude higher than the signal of interest. Therefore, it is important to establish effective artifact reduction methods. We propose a blind source separation algorithm using only second-order temporal correlations for cleaning biomagnetic measurements of evoked responses in the peripheral nervous system. The algorithm showed its efficiency by eliminating disturbances originating from biological and technical noise sources and successfully extracting the signal of interest. This yields a significant improvement of the neuro-magnetic source analysis.
Preliminary study of correlations between the intratumoral microvessel density and the morphological profile of colorectal carcinoma.

AIM New blood vessel formation (angiogenesis) is a fundamental event in the process of tumor growth and metastatic dissemination. The aim was to evaluate intratumoral vascular density (ITMVD) and to analyze possible correlations between ITMVD and the morphological profile of colorectal carcinoma. MATERIALS AND METHODS The studied group consisted of 50 patients that underwent surgery for colorectal tumors, 12 of them receiving preoperatory radiotherapy. The analyzed morphological parameters were tumor site, tumor gross aspect, tumor longitudinal and transverse diameter, tumor grading, local invasion (pT), regional invasion (pN), distant metastases (pM) and intratumoral microvessel density (ITMVD) expressed as number of capillaries÷mm². The malignant tissue samples were included in paraffin blocks and serial tissue sections were cut both for Hematoxylin-Eosin staining and CD34 immunomarking. For each case, five consecutive fields without necrosis were randomly selected with ×10 objective. Quantitative measurements were performed using special software for image analysis. RESULTS For non-irradiated colorectal tumors, ITMVD was the highest in rectal localization, in infiltrative tumors, in circumferential tumors, in tumors with low longitudinal extension, in moderately differentiated (G2) tumors and in pT4, pN0 and pM1 tumors. DISCUSSION Correlations showed different trends of ITMVD depending on each parameter: ITMVD was higher when the tumor was closer to the rectum, when it was more infiltrative, more circumferential or with low longitudinal diameter. These trends might be exploited in defining future anti-angiogenic therapeutic strategies. CONCLUSIONS There were some interesting correlations between ITMVD and studied morphological parameters that have to be validated on larger series of cases.
Epithelial-mesenchymal transition, the tumor microenvironment, and metastatic behavior of epithelial malignancies.

OBJECTIVE The mechanisms of cancer metastasis have been intensely studied recently and may provide vital therapeutic targets for metastasis prevention. We sought to review the contribution of epithelial-mesenchymal transition and the tumor microenvironment to cancer metastasis. SUMMARY BACKGROUND DATA Epithelial-mesenchymal transition is the process by which epithelial cells lose cell-cell junctions and baso-apical polarity and acquire plasticity, mobility, invasive capacity, stemlike characteristics, and resistance to apoptosis. This cell biology program is active in embryology, wound healing, and pathologically in cancer metastasis, and along with the mechanical and cellular components of the tumor microenvironment, provides critical impetus for epithelial malignancies to acquire metastatic capability. METHODS A literature review was performed using PubMed for "epithelial-mesenchymal transition", "tumor microenvironment", "TGF-β and cancer", "Wnt and epithelial-mesenchymal transition", "Notch and epithelial-mesenchymal transition", "Hedgehog and epithelial-mesenchymal transition" and "hypoxia and metastasis". Relevant primary studies and review articles were assessed. RESULTS Major signaling pathways involved in epithelial-mesenchymal transition include TGF-β, Wnt, Notch, Hedgehog, and others. These pathways converge on several transcription factors, including zinc finger proteins Snail and Slug, Twist, ZEB 1/2, and Smads. These factors interact with one another and others to provide crosstalk between the relevant signaling pathways. MicroRNA suppression and epigenetic changes also influence the changes involved in epithelial-mesenchymal transition. Cellular and mechanical components of the tumor microenvironment are also critical in determining metastatic potential. CONCLUSIONS While the mechanisms promoting metastasis are extremely wide ranging and still under intense investigation, the epithelial-mesenchymal transition program and the tumor microenvironment are both critically involved in the acquisition of metastatic potential. As our understanding of these complexities increases, the ability to target these processes for therapy will offer new promise in the treatment of epithelial malignancy and metastasis.
HPLC Evaluation of Phenolic Profile, Nutritive Content, and Antioxidant Capacity of Extracts Obtained from Punica granatum Fruit Peel

This study revealed polyphenolic content, nutritive content, antioxidant activity, and phenolic profile of methanol and aqueous extracts of Punica granatum peel extract. For this, extracts were screened for possible antioxidant activities by free radical scavenging activity (DPPH), hydrogen peroxide scavenging activity and ferric-reducing antioxidant power (FRAP) assays. The total phenolics and flavonoid recovered by methanolic (MPE) and the water extract (AQPE) were ranged from 185 ± 12.45 to 298.00 ± 24.86 mg GAE (gallic acid equivalents)/gm and 23.05 ± 1.54 to 49.8 ± 2.14 quercetin (QE) mg/g, respectively. The EC50 of herbal extracts ranged from 100 µg/ml (0.38 quercetin equivalents), for AQPE, 168 µg/ml (0.80 quercetin equivalents), for MPE. The phenolic profile in the methanolic extracts was investigated by chromatographic (HPLC) method. About 5 different flavonoids, phenolic acids, and their derivatives including quercetin (1), rutin (2), gallic acid (3), ellagic acid (4), and punicalagin as a major ellagitannin (5) have been identified. Among both extracts, methanolic extract was the most effective. This report may be the first to show nutritive content and correlation analysis to suggest that phenols and flavonoids might contribute the high antioxidant activity of this fruit peel and establish it as a valuable natural antioxidant source applicable in the health food industry.
Dynamic Cortical and Subcortical Networks in Learning and Delayed Recall of Timed Motor Sequences

We used positron emission tomography to examine learning and retention of timed motor sequences. Subjects were scanned during learning (LRN) and baseline (ISO) on 3 d: day 1, after 5 d of practice (day 5) and after a 4 week delay (recall). Blood flow was compared across days of learning and between the LRN and ISO conditions. Overall, significant changes in activity were seen across days for the LRN condition, but not the ISO baseline. Day 1 results revealed extensive activation in the cerebellar cortex, particularly lobules III/IV and VI. Day 5 results showed increased activity in the basal ganglia (BG) and frontal lobe, with no significant cerebellar activity. At recall, significantly greater activity was seen in M1, premotor, and parietal cortex. Blood flow in the cerebellum decreased significantly between day 1 and recall. These results reveal a dynamic network of motor structures that are differentially active during different phases of learning and delayed recall. For the first time our findings show that recall of motor sequences in humans is mediated by a predominantly cortical network. Based on these results, we suggest that during early learning cerebellar mechanisms are involved in adjusting movement kinematics according to sensory input to produce accurate motor output. Thereafter, the cerebellar mechanisms required for early learning are no longer called into play. During late learning, the BG may be involved in automatization. At delayed recall, movement parameters appear to be encoded in a distributed representation mediated by M1, premotor, and parietal cortex.
Effects of gestation housing system and floor type during lactation on locomotory ability; body, limb, and claw lesions; and lying-down behavior of lactating sows.

This study evaluated the influence of housing system during gestation and floor type during lactation on the welfare and lying-down behavior of lactating sows. Multiparous sows (n = 85) were housed either in individual gestation stalls (n = 42) or loose (n = 43) in a single dynamic group with 2 electronic sow feeders moved to farrowing crates on either slatted steel (n = 48) or cast iron (n = 37) flooring. Lameness (0 = normal to 5 = severely lame) was scored on transfer to the farrowing crate (-5 d). Limb and body lesions were recorded on -5 d, 24 h after entering the farrowing crate (-4 d), 10-d postpartum, and before weaning. Claw lesions were recorded on -5 d and before weaning, whereas all behavioral observations were made on -5, -4, and 10 d. Median (Me) scores were calculated for claw, body, and limb lesions and classified as either less than or equal to the Me or greater than the Me lesion scores. Sows were classified as nonlame (≤ 1) or lame (≥ 2). Loose-housed sows had an increased (P < 0.01) risk of lameness; a reduced (P < 0.05) risk for claw lesions, particularly white line damage, horizontal wall cracks, and dewclaw injuries; and a reduced (P < 0.05) risk for calluses and bursitis on the limbs compared to stall-housed sows. Sows housed on cast iron floors during lactation had a reduced (P < 0.01) risk for heel overgrowth and erosion and heel-sole cracks compared with sows on slatted steel floors. There was no (P > 0.05) association between flooring type during lactation and body lesion score. On -4 d, loose-housed sows had a shorter latency to lie down (P < 0.01), spent more time inactive (P < 0.05), and shifted weight between the limbs more often (P = 0.05) while standing compared with stall-housed sows. Lame sows had a shorter (P < 0.01) latency to lie down compared to nonlame sows on -5 and -4 d. In conclusion, there was an increased risk of lameness in sows housed loose compared to those housed in gestation stalls on transfer to the farrowing crate. Claw health deteriorated in the farrowing crate regardless of gestation housing or floor type but the deterioration in claw health was increased on slatted steel compared to on cast iron.
A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma

The diagnosis, prognosis, and management of patients with gliomas are largely dictated by the pathological analysis of tissue biopsied from a selected region within the lesion. However, the heterogeneous and infiltrative nature of gliomas make it difficult to identify the optimal region for biopsy with conventional magnetic resonance imaging (MRI). This is particularly true for low-grade gliomas, which are often nonenhancing tumors. To improve the management of patients with such tumors, neuro-oncology requires an imaging modality that can specifically identify a tumor's most anaplastic/aggressive region(s) for biopsy targeting. The addition of metabolic mapping using spectroscopic MRI (sMRI) to supplement conventional MRI could improve biopsy targeting and, ultimately, diagnostic accuracy. Here, we describe a pipeline for the integration of state-of-the-art, high-resolution, whole-brain 3-dimensional sMRI maps into a stereotactic neuronavigation system for guiding biopsies in gliomas with nonenhancing components. We also outline a machine-learning method for automated histological analysis that generates normalized, quantitative metrics describing tumor infiltration in immunohistochemically stained tissue specimens. As a proof of concept, we describe the combination of these 2 techniques in a small cohort of patients with grade 3 glioma. With this work, we aim to present a systematic pipeline to stimulate histopathological image validation of advanced MRI techniques, such as sMRI.
Accelerated volume rendering with homogeneous region encoding using extended anisotropic chessboard distance on GPU

Ray traversal is the most time consuming part in volume ray casting. In this paper, an acceleration technique for direct volume rendering is introduced, which uses a GPU friendly data structure to reduce traversal time. Empty regions and homogeneous regions in the volume is encoded using extended anisotropic chessboard distance (EACD) transformation. By means of EACD encoding, both the empty spaces and samples belonging to the homogeneous regions are processed efficiently on GPU with minimum branching. In addition to skipping empty spaces, this method reduces the sampling operation inside a homegeneous region using ray integral factorization. The proposed algorithm integrates the optical properties in the homogeneous regions in one step and leaps directly to the next region. We show that our method can work more than 6 times faster than primitive ray caster without any visible loss in image quality.
Where are they looking?

Humans have the remarkable ability to follow the gaze of other people to identify what they are looking at. Following eye gaze, or gaze-following, is an important ability that allows us to understand what other people are thinking, the actions they are performing, and even predict what they might do next. Despite the importance of this topic, this problem has only been studied in limited scenarios within the computer vision community. In this paper, we propose a deep neural network-based approach for gaze-following and a new benchmark dataset, GazeFollow, for thorough evaluation. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at. Our deep network is able to discover how to extract head pose and gaze orientation, and to select objects in the scene that are in the predicted line of sight and likely to be looked at (such as televisions, balls and food). The quantitative evaluation shows that our approach produces reliable results, even when viewing only the back of the head. While our method outperforms several baseline approaches, we are still far from reaching human performance on this task. Overall, we believe that gaze-following is a challenging and important problem that deserves more attention from the community.
A Description of an Unusual Salmonella Type with Special Reference to the Evolution of Salmonella Species

The bacillus described here was isolated by Dr. Henry Welch from rat feces collected in the vicinity of Salinas, California. The organism, which is designated as Salmonella salinatis, was identified by Dr. Welch as a member of the genus Salmonella and sent to the writers for further study. On examination it proved to be a motile rod which possessed the morphological, tinctorial, and biochemical characters of Salmonella. The bacillus produced hydrogen sulfide, did not form indole, and failed to liquefy gelatin. Glucose, arabinose, maltose, rhamnose, trehalose, xylose, sorbitol and dulcitol were fermented promptly with the production of acid and gas. Lactose, sucrose, inositol, adonitol, and salicin were not attacked. Dextro-tartrate, levo-tartrate, mucate and citrate were utilized by the bacillus but utilization of meso-tartrate could not be demonstrated. Serological examination of the organism revealed that it was a member of group B of the Kauffmann-White classification and possessed the somatic antigens IV, XII. An agglutinating serum was prepared for S. salinatis and it was found that all 0 agglutinins were removed from the serum by absorption with the Sandiego type (IV, XII. .: e, h e, n, Z15). The determination of the flagellar antigens of the bacillus presented greater difficulties. Broth cultures were sluggishly motile. When diluted with formalized saline and tested with serums representing the various H factors of the Kauffmann-White schema, the broth cultures were flocculated slowly by serum derived from Eberthella typhosa (d) and still more slowly by serum derived from the beta phase of the Mikawashima type (e, n, z15). The organism was passed through semi-solid agar until a very motile culture was obtained. This culture was flocculated rapidly and to the titre of E. typhosa serum as well as all other serums containing agglutinins for the antigen d. It was also actively flocculated by all serums containing agglutinins for antigens e, n. and to a lesser extent by e, h serums. This suggested that the organism was diphasic and possessed the H formula d e, n. which is known to exist in the Amersfoort type. Such a culture on plating should give rise to colonies some of which contain antigen d while others contain antigen e, n. This was not true. The culture was plated on a number of occasions and several hundred individual colonies examined. Each colony examined contained antigen d as the major H
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning

We describe a new instance-based learning algorithm called the Boundary Forest (BF) algorithm, that can be used for supervised and unsupervised learning. The al- gorithm builds a forest of trees whose nodes store previ- ously seen examples. It can be shown data points one at a time and updates itself incrementally, hence it is nat- urally online. Few instance-based algorithms have this property while being simultaneously fast, which the BF is. This is crucial for applications where one needs to respond to input data in real time. The number of chil- dren of each node is not set beforehand but obtained from the training procedure, which makes the algorithm very flexible with regards to what data manifolds it can learn. We test its generalization performance and speed on a range of benchmark datasets and detail in which settings it outperforms the state of the art. Empirically we find that training time scales as O(DN log(N )) and testing as O(Dlog(N)), where D is the dimensionality and N the amount of data.
Kinetic Chain Abnormalities in the Athletic Shoulder

Overhead activities require the shoulder to be exposed to and sustain repetitive loads. The segmental activation of the body’s links, known as the kinetic chain, allows this to occur effectively. Proper muscle activation is achieved through generation of energy from the central segment or core, which then transfers the energy to the terminal links of the shoulder, elbow, and hand. The kinetic chain is best characterized by 3 components: optimized anatomy, reproducible efficient motor patterns, and the sequential generation of forces. However, tissue injury and anatomic deficits such as weakness and/or tightness in the leg, pelvic core, or scapular musculature can lead to overuse shoulder injuries. These injuries can be prevented and maladaptations can be detected with a thorough understanding of biomechanics of the kinetic chain as it relates to overhead activity.
THE DISCOVERY OF Y DWARFS USING DATA FROM THE WIDE-FIELD INFRARED SURVEY EXPLORER (WISE)

We present the discovery of seven ultracool brown dwarfs identified with the Wide-field Infrared Survey Explorer (WISE). Near-infrared spectroscopy reveals deep absorption bands of H2O and CH4 that indicate all seven of the brown dwarfs have spectral types later than UGPS J072227.51−054031.2, the latest-type T dwarf currently known. The spectrum of WISEP J182831.08+265037.8 is distinct in that the heights of the J- and H-band peaks are approximately equal in units of fλ, so we identify it as the archetypal member of the Y spectral class. The spectra of at least two of the other brown dwarfs exhibit absorption on the blue wing of the H-band peak that we tentatively ascribe to NH3. These spectral morphological changes provide a clear transition between the T dwarfs and the Y dwarfs. In order to produce a smooth near-infrared spectral sequence across the T/Y dwarf transition, we have reclassified UGPS 0722−05 as the T9 spectral standard and tentatively assign WISEP J173835.52+273258.9 as the Y0 spectral standard. In total, six of the seven new brown dwarfs are classified as Y dwarfs: four are classified as Y0, one is classified as Y0 (pec? ), and WISEP J1828+2650 is classified as >Y0. We have also compared the spectra to the model atmospheres of Marley and Saumon and infer that the brown dwarfs have effective temperatures ranging from 300 K to 500 K, making them the coldest spectroscopically confirmed brown dwarfs known to date.
The sediments of lake on the Ardley Island, Antarctica: Identification of penguin-dropping soil

During CH IN ARE-15 (Dec. 1998-Mar. 1999), a lake core 67. 5 cm in length, was sampled in Y2 lake, which is located on the Ardley Island, Antarctica. The concentrations of some chemical elements in Y2 lake sediments were analyzed. According to compaiative research on elementary characters of sediments in Antarctic West Lake, fresh penguin dropping as well as guano soil on the Ardley Island and Pacific Island in South China Sea, it presents that the Y2 lake sediments were ameliorated by penguin dropping. The result of element cluster analysis shows that the type elements in the sediment impacted by penguin dropping include Sr, F, S, P, Ca, Se, Cu, Zn and Ba. This can provide a base for further interpreting the climatic and environmental event recorded in the sediment.