Differences between traditional Visualization and Virtual reality on motor performance in novel climbers
Published on: 6th February, 2018
OCLC Number/Unique Identifier: 7347073164
This paper analyses the effect of virtual reality visualization (VRV) on climbers, with respect to the traditional visualization methodology. The study sample was made up of 21 novel climbers: Control Group CG (N=7), Traditional Visualization Group TVG (N=7) and Virtual Reality Group VRG (N=7). In order to implement the mental imagery through virtual reality, a 360º Ricoh Theta S camera and a pair of Woxter Neo VR1 goggles were used. The data analysis was carried out with a simple ANOVA of three means. No statistically significant differences were found. The results are discussed and future lines of research are established.
Advances in the use of GABAergic interneurons for the treatment of epilepsy
Published on: 4th September, 2019
OCLC Number/Unique Identifier: 8333008407
Forebrain GABAergic neurons, the main inhibitory type of neuron in the cortex and hippocampus, represent a highly heterogeneous cell population that has been implicated in the predisposition to epilepsy and the onset of seizure. Earlier attempts to restore inhibition and reduce seizure in animal models of epilepsy have been carried out using embryonic basal forebrain tissue as source of immature GABAergic progenitors in cell-based therapies, with promising results. For therapeutic strategies this approach appears unrealistic, while the use of pluripotent stem cells to obtain immature GABAergic neurons opens new and promising avenues. Research on neural stem cells and pluripotent stem cells has greatly advanced and protocols have been established to efficiently direct progenitor cells to differentiate towards the GABAergic lineage. However, being highly heterogeneous, these neurons are difficult to be fully represented in vitro. Better knowledge on the expressed gene profiles, at single cell level, and the differentiation trajectory of these neurons will consent a more precise monitoring of the differentiation steps. Here we review the current literature about how to obtain and characterize genuine inhibitory neurons, how these can be grafted in animal models (and one day possibly in human) and which diseases could potentially be targeted and the efficiency of therapeutic outcome. The main obstacles that need to be overcome are: a) choice of an appropriate animal model, b) availability of human cells prone to GABA differentiation, c) the full representation of all IN subtypes, their proportions and their physiological activities, d) how to monitor them on the long-term after transplant.
Au26-35: A Special Geometrical Structure of Au33 (D2) Cluster with Highly Occupied - 14 Pairs of Double-State Degeneracy
Published on: 30th December, 2022
In this article, an interesting phenomenon has described the geometries and vibrational frequency of the stable AuN clusters with N = 26 to 35. We have found nine out of ten clusters are having the very same C1 symmetry, except the cluster N = 33 (D2). The finite-differentiation method has been implemented within the density-functional tight-binding (DFTB) approach. The effects of the range of interatomic forces were calculated and the desired set of system eigenfrequencies (3N-6) are obtained by diagonalization of the symmetric positive semidefinite Hessian matrix. Mainly, we have observed the vibrational spectra and the range comes in between 2.04 and 347.32 cm−1 at ground state, ∆E = 0. Most significantly, all the clusters have revealed double-state degeneracy. The vibrational spectrum is strongly dependent upon the size, shape, and structure, at the same time, the stretching and the bending mode of the atoms with respect to the bond length plays a major role. We have compared some of our results, which have an excellent agreement, with the less availability of the experimental and the theoretical predictions.
Endogenous archeological sciences: Physiology, Neuroscience, Biochemistry, Immunology, Pharmacology, Oncology and Genetics as instrument for a new field of investigation? Modern global aspects for a new discipline
Published on: 14th December, 2018
OCLC Number/Unique Identifier: 7976988064
In this work is analyzed scientific literature involved in human evolution to be used as an archeological Pathway to link different sciences in an overall new discipline.
A rational classification of single evidence make possible to better understand under new light some Physiological process.
The archeological instrument to be applied in other field like biology or other sciences.
A unique case of metastatic spinal epidural abscess associated with liver abscess following ascending cholangitis and Escherichia coli bacteremia
Published on: 6th November, 2019
OCLC Number/Unique Identifier: 8301352650
Pyogenic liver abscess (PLA) is a life-threatening infection that may develop as a result of an underlying hepatobiliary disease. A possible complication of PLA is metastatic spread, resulting in distant seeding of infection in other organs, and occasionally in the epidural space. Spinal epidural abscess (SEA) is a rare infection with severe potential complications. We describe a 71-year-old patient who presented with ascending cholangitis that was complicated by micro PLA, with a subsequent Escherichia coli bacteremia and metastatic SEA. An emergent surgical intervention with laminotomy and drainage of the epidural collection was performed. The patient was treated with a prolonged antibiotic regimen, with uneventful recovery and no neurologic sequelae. To our knowledge, this is the first reported case of a SEA following E. coli PLA.
Detecting Pneumothorax on Chest Radiograph Using Segmentation with Deep Learning
Published on: 9th July, 2024
Introduction: Pneumothorax is a life-threatening condition that requires prompt recognition and therapy to prevent deterioration. Radiologist workload often precludes rapid assessment of the usual diagnostic modality, the chest radiograph, particularly after hours. The aim was to develop a deep learning model using a segmentation-based Deep Convolutional Neural Network (DCNN) to detect pneumothorax on chest radiographs to provide rapid and accurate pneumothorax diagnosis.Methods: This is a retrospective study of spontaneous pneumothorax at a single center, containing 130 positive and 70 negative radiographs. Subsequent manual contour mapping was performed to draw a mask of the pneumothorax. These image pairs were used to train a DCNN model (a modified AlexNet) after pretraining on the ImageNet dataset.Results: The DCNN achieved an accuracy of 0.83, with sensitivity of 98.1%, and specificity of 68.5%.Conclusion: This segmentation-based DCNN accuracy is comparable to previous categorization-based CDNN models, despite using a smaller sample size for training, while including the benefits of visual representation for clinician feedback. Segmentation-based DCNNs show promise in the development of accurate and clinically useful models for medical imaging.
First trimester growth delay: An early marker of triploidy
Published on: 21st November, 2019
OCLC Number/Unique Identifier: 8444362890
Triploidy is one the most common chromosomal abnormality in humans, complicating about 1% of all human pregnancies. Most affected conceptions undergo spontaneous abortion in the first trimester, making the prevalence of second trimester triploidy low. Viable triploidy is associated with high rates of maternal morbidity, including hypertensive disorders, hemorrhage, and persistent trophoblasic disease, as well as fetal and neonatal severe adverse outcomes. Given these complications, early identification of triploidy in ongoing pregnancies may inform patient counseling and management.
New pharmacological strategies in some metabolic endocrine disorder under a toxicological approach
Published on: 9th March, 2018
OCLC Number/Unique Identifier: 7666353489
In this review After Observing biomedical literature (starting from some heart disease) results that some pathological phenomena are deeply involved in some metabolic endocrine condition: Kinetics and gradients in metabolism, catabolism, time related, toxic like effect, electrical cell membrane status, smooth vascular muscle cell hyper-reactivity, platelet iperactivations, central autonomic control after acute stroke, great electrolytes unbalances et other factors as pro-hypertrophic signaling and oxidative stress. Observing actual current therapy in some metabolic endocrine therapy often is used association of drugs (in example in type II diabetes). In Many other pathologies efficacy drug therapy exist, and often only 1 pharmacological molecule resolve the pathological condition. But in many disease even associating 2-3-4 drugs the % of cure not increase (efficacy, effectiveness). It mean that this drugs strategies are not the really best? Or it mean a low active level? Why for this pathological condition this association drugs in currently use not do the right works as really needed? There is the need for new really efficacy drugs strategy that show a profile of efficacy as requested in order to resolve the pathological condition? Or to be added to the actual therapy? The actual pharmacological strategies in some metabolic endocrine disorder is really the best? Or other strategies can be introduced?
Hypocomplementemic interstitial nephritis with long-term follow-up
Published on: 22nd February, 2019
OCLC Number/Unique Identifier: 8022180414
Prednisone-sensitive hypocomplementemia, renal insufficiency, and kidney biopsy demonstrating severe tubulointerstitial nephritis (TIN), storiform fibrosis, and tubulointerstitial immune deposits are typical of IgG4-related tubulointerstitial nephritis and hypocomplementemic interstitial nephritis. A diagnosis of hypocomplementemic interstitial nephritis requires clinical and pathologic exclusion of IgG4-related tubulointerstitial nephritis. We describe a patient with hypocomplementemic interstitial nephritis who did not develop diagnostic features of IgG4 related disease (RD) over 2-year follow-up. We conclude that hypocomplementemic interstitial nephritis could be on a biologic spectrum with IgG4-related disease, but not all cases will develop the abundance of IgG4-positive plasma cells, systemic manifestations, or elevated immunoglobulin levels characteristic of IgG4-RD.
Analysis of the characteristics of chinese traditional sports culture in the new period
Published on: 23rd July, 2019
OCLC Number/Unique Identifier: 8192136507
Through cultural consciousness, the characteristics of traditional Chinese sports culture in the new period are analyzed and studied, and the traditional Chinese sports culture in the new period has the following six characteristics: 1. Sports social model of “etiquette” 2. Sports personality model of the gentleman’s way; 3. The sports behavior mode of the golden mean; 4. The social nature of sports of socialism with Chinese characteristics; 5. Sports cultural nature of emotional culture; 6 limited competitive sports competition.
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