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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.

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.

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.

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.

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.

Plant extracts and their constituents have a long history as antifungal agents, but their use in biotechnology as preservatives, due to the increasing resistance of fungi to fungicides, has been rarely reported in Libya. The aim of this study is to evaluate the antifungal activity of ethanol extract and water extract of the wild native plant Artemisia herba-alba against two genera of mold fungi Aspergillus sp. and Rhizopus sp. This mold fungal causes significant damage to crops in the field or during storage. In this study, a hot ethanol extract was prepared using a device Soxhlet, and water extract hot as well as a cold ethanol extract and cold-water extract aqueous extract three concentrations (25% - 50% - 75%) of plant extracts were used on the tested fungi. All extracts showed an effect on the tested fungi. The concentrations of (75% - 50%) of the extracts had an effect on the tested fungi, while most concentrations of 25% of the extracts did not record any effect on the tested fungi. The hot ethanol extract of the Artemisia herba-alba plant was more effective than the other extracts. Aspergillus sp. was recorded with the highest inhibitory zone (0.73 mm).  

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.

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?

Biochemical systems are analytically investigated after encoding the properties of the dynamics, which rule the time evolution of the transition properties, using some Markov models, such as the Hierarchical Markov-State Models. The present paper is aimed at analytically writing the (finite) Markov chain originating from the considered Markov models. Within this framework, the interaction with the environment is considered, and the ergodicity of the systems obtained from numerical simulation is controlled and compared with the qualities of the Markov chain. The (von Neumann) conditions to be imposed on the Bloch equations for the biomaterial structures to be described analytically in a consistent way are governed. The formalisms of the ’heat bath’ and that of the control of the numerical errors ensure the good measure-theoretical framework and the ergodicity of the finite chain, respectively.The finite Markov chains are investigated and the analytical expressions are presented, after which the Hierarchical Markov-State-Model provides the time evolution of the transition probabilities in biochemical systems.The notion of heat bath is used to describe the interactions of the biomaterial with the environment and thus to control the uses of the projection operators in the Markovian processes where the appropriate measure is defined; the stochastic equations allow one to obtain the wanted measure from the probability spaces.The cases in which a violation of the Markov property of the process occurs, i.e. in open systems, or dissipative processes are also considered. Furthermore, in complex molecules in biological systems, these features are investigated to be possibly even more dramatic. As far as molecular processes are concerned, this occurrence is associated with the appearance of chaotic effects with certain characteristics of potential surfaces: rather than the technique of isocommittors, the method of projectors in measure spaces is used for the Nakajima-Zwanzig paradigm for the density operator; this latter method complementary compares the time-convolution-less technique.The finite Markov chains are finally proven to be ergodic after the control of the numerical errors which provide the Sinai-Markov partitions to be applied for the analysis of the measure space of the Markov chain, that is, one endowed with a Hilbert measure. The von Neumann conditions are therefore newly demonstrated to be apt to be applied to the Bloch equations for biomaterial structures after the use of the notion of heat bath, from which the measure space arises.The qualities of the Hierarchical Markov-Sate Models which bring the analytical expression of the time evolution of probabilities of biomaterials are therefore newly analytically studied.

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.