Risk Factors Involved in Postural Disorders in Children and Adolescents.

Postural disorders in children and adolescents have an increasing incidence. The aim of this study was to identify the type of postural defects in school-age and preschool children, as well as the external risk factors determined by an inadequate lifestyle. The research included 134 children aged between 5 and 18 years, in whom postural defects were identified.

Clostridium difficile infection in pediatric patients (Review).

infection (CDI) is the most common cause of healthcare-associated diarrhea and among adults, the worldwide incidence rate of the infection is increasing. There is a small amount of data in the literature for pediatric patients, but most indicate an increasing trend. is a constituent of the normal microbiota; however, under specific conditions that cause a disruption of the normal bacterial flora, colonization of and the released toxins that cause inflammation and mucosal damage occurs.

Immunoexpression of Ki67, p53 and cyclin D1 in osteosarcomas.

The main malignant tumor of the bone tissue is represented by osteosarcoma, neoplasia with a reserved prognosis and an unpredictable evolution, often aggressive. Cell cycle disruption is one of the complex biomolecular mechanisms involved in the progression of osteosarcomas. In this study, we analyzed the immunoexpression of Ki67, p53 and cyclin D1 for 18 primitive osteosarcomas in relation to the clinicopathological prognosis parameters of the lesions.

Identification and mapping of Algerian island vegetation using high-resolution images (Pléiades and SPOT 6/7) and random forest modeling.

Despite their proximity to the coast, few studies have focused on identifying and mapping the vegetation of Algerian islands and islets. To fill this lacuna, our work, using satellite images and machine learning methods, is mainly aimed at identifying and mapping the main vegetation groups on a few islands, while evaluating the effectiveness of the random forest classifier, which is effectively used in the study of the vegetation of large areas. However, despite the high heterogeneity of their vegetation cover, the use of very high-resolution images (Pléaides and SPOT 6/7), through the fusion bands and derived bands (NDVI), has allowed the elaboration of a fairly precise vegetation map that can be used for the preparation of management and protection plans for these habitats.

Non-Steroidal Anti-Inflammatory Drug Etoricoxib Facilitates the Application of Individualized Exercise Programs in Patients with Ankylosing Spondylitis.

The main objective of this study is to highlight the efficiency of different therapeutic means in patients with ankylosing spondylitis, resulting in the improvement of their quality of life. We conducted a randomized, longitudinal, controlled trial on 92 patients with ankylosing spondylitis over a period of 6 years. Disease activity was assessed using the BASDAI (Bath Ankylosing Spondylitis Disease Activity Index) score.

Revision Arthroplasty with Total Femur Replacement for the Management of Complex Post-traumatic Bone Defect in a Patient with Dwarfism.

Dwarfism leads to an early onset of osteoarthritis of the joints of the lower limb. Due to bone deformities, arthroplasty is challenging. The incidence of implant-associated complications is higher compared to the normal population and often ends up with multiple revision arthroplasties.

Polymorphism of clinical manifestation of HPV infection in the genital mucosa - 3-year retrospective study.

Background: Human papillomaviruses (HPVs) are associated with a wide variety of cutaneous and mucosal infections and with malignancies in humans. More than 100 HPV types have been identified, some of which have affinity for skin and others for mucosal sites.

Aim: The purpose of this study came from our desire to support the "Stop Cervical Cancer" campaign, adopted as "Cervical Cancer Removed as a Public Health Problem", following the World Health Organization (WHO) initiative in 2019-2020.

Midterm results of 36 mm metal-on-metal total hip arthroplasty.

Background: Despite the many perceived benefits of metal-on-metal (MoM) articulation in total hip arthroplasty (THA), there have been growing concerns about metallosis and adverse reaction to metal debris (ARMD). Analysis of size 36 mm MoM articulation THAs is presented. These patients were evaluated for patient characteristics, relationship between blood metal ions levels and the inclination as well as the version of acetabular component, cumulative survival probability at final followup and functional outcome at final followup.

Stability of car following with human memory effects and automatic headway compensation.

This paper addresses the study of some appropriate control strategies in order to guarantee the exponential stability of a class of deterministic microscopic car-following models including human drivers' memory effects and automated headway controllers. More precisely, the delayed action/decision of human drivers is represented using distributed delays with a gap and the considered automated controller is of proportional derivative type. The analysis is performed in both delay parameter and controller gain parameter spaces, and appropriate algorithms are proposed.

Physically based collaborative simulations under ring-like network configurations.

A state-synchronization method for physically based simulations provides equivalent visual scenes at remote sites on ring-like networks. The simulation runs independently on each participating site so that sites can immediately process and display any local user's action, allowing high responsiveness.

[Struma ovarii].

Unlabelled: Struma ovarii is a rare tumor in its pure form, but its true incidence is hard to estimate because of all the variation in the diagnostic criteria due to the fact that some authors reported it as within a teratoma and others only in its pure form. In general, it is an asymptomatic tumor, "benign-like" in most of the cases, and the diagnostic is based only on the histopathological findings.

Material And Method: This is a retrospective study of all ovarian tumors treated in our departments over a period of 11 years, from January 1, 1995 to January 1, 2006.

Probabilistic neural networks modeling of the 48-h LC50 acute toxicity endpoint to Daphnia magna.

Two modeling experiments based on the maximum likelihood estimation paradigm and targeting prediction of the Daphnia magna 48-h LC50 acute toxicity endpoint for both organic and inorganic compounds are reported. The resulting models computational algorithms are implemented as basic probabilistic neural networks with Gaussian kernel (statistical corrections included). The first experiment uses strictly D.

[Giant uterine fibroma. Case report].

The presence of the giant abdominal-pelvic tumours is more and more rare because of the precocious methods of diagnosis. Sometimes the rare cases of giant uterine fibroma are met in medical practice and they need the use of atypical surgical techniques that are not entirely risk-free. In the present case, the giant uterine fibroma that was diagnosed (23/21/20 cm) was investigated clinically, and with imaging and pathologic techniques, then it underwent a surgical procedure in two stages, with major difficulties, because the entire anatomical structure of the pelvis was totally modified.

Using fragment chemistry data mining and probabilistic neural networks in screening chemicals for acute toxicity to the fathead minnow.

The paper is illustrating how the general data mining methodology may be adapted to provide solutions to the problem of high throughput virtual screening of organic chemicals for possible acute toxicity to the fathead minnow fish. The present approach involves mining fragment information from chemical structures and is using probabilistic neural networks to model the relationship between structure and toxicity. Probabilistic neural networks implement a special class of multivariate non-linear Bayesian statistical models.

Robust stability of some oscillatory systems including time-varying delay with applications in congestion control.

This paper focuses on the stability of some second-order linear systems with multiple constant and time-varying delays, under the assumption that the corresponding system without delays is an oscillator. Sufficient conditions for delay-dependent stability will be derived using the integral quadratic constraint approach combined with the generalized eigenvalue distribution of some appropriate finite-dimensional matrix pencils. As applications, we shall discuss some fluid approximation models used in congestion control of high-speed networks, under the natural assumptions that the control-time intervals are constant, but the round-trip times are time-varying.

Probabilistic neural network modeling of the toxicity of chemicals to Tetrahymena pyriformis with molecular fragment descriptors.

We present the results of an investigation into the use of a probabilistic neural network (PNN) based methodology to model the 48-60-h ICG50 (inhibitory concentration for population growth) sublethal toxicity to the ciliate Tetrahymena pyriformis. The information fed into the neural network is solely based on simple molecular descriptors as can be derived from the chemical structure. In contrast to most other toxicological models, the octanol/water partition coefficient is not used as an input parameter and no rules of thumb, or other substance selection-criteria, are involved.

Modeling acute toxicity of chemicals to Daphnia magna: a probabilistic neural network approach.

A methodology based on probabilistic neural networks (PNNs) is applied to model the acute toxicity (48-h LC50) of a set of 700 highly diverse chemicals to Daphnia magna. First, cross-validation experiments confirming the potential use of the PNN as modeling tool for the problem at hand were performed. Next, various approaches to construct-improved models are presented.

Modeling the toxicity of chemicals to Tetrahymena pyriformis using molecular fragment descriptors and probabilistic neural networks.

The results of an investigation into the use of a probabilistic neural network (PNN)-based methodology to model the 48-h ICG50 (inhibitory concentration for population growth) sublethal toxicity of 825 chemicals to the ciliate Tetrahymena pyriformis are presented. The information fed into the neural networks is solely based on simple molecular descriptors as can be derived from the chemical structure. In contrast to most other toxicological models, the octanol/water partition coefficient is not used as an input parameter, and no rules of thumb or other substance selection criteria are employed.

Using probabilistic neural networks to model the toxicity of chemicals to the fathead minnow (Pimephales promelas): a study based on 865 compounds.

We investigate the use of probabilistic neural networks (PNN) to model the acute toxicity (96-hr LC50) to the fathead minnow (Pimephales promelas) based on a 865 chemicals data set. In contrast to most other toxicological models, the octanol/water partition coefficient is not used as input parameter. The information fed into the neural network is solely based on simple molecular descriptors as can be derived from the chemicals' structures and indicates the potential of this approach as general methodology for the estimation of toxicological effects of chemicals.

Morphopathology of mixed sweat-gland tumors.

Mixed sweat-gland tumors were studied on 11 biopsies, of which two showed clear-cut morphological features of malignancy. Stress was laid upon the sudoriferous-duct histogenesis of such tumors. Several peculiarities were carefully investigated, especially epithelial proliferation in sheets, cords, tubes, isolated cells and certain epithelial metaplasias correlated with various mesenchymal stroma changes, such as fibrosis, myxoid, chondroid or even osseous changes.