Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil.

Purpose: To investigate the discordance in sarcoma diagnoses between nonspecialized institutions following revision by dedicated sarcoma pathologists at a reference center in Brazil and the relevance of molecular pathology in this context.

Methods: We conducted a retrospective analysis of sarcoma samples initially analyzed at outside laboratories and subsequently reviewed by two specialized pathologists between January 2014 and December 2020. After obtaining demographic and tumor characteristics, pathology results were matched and classified as complete discordance (CD; benign malignant, sarcoma other malignancies), partial concordance (similar diagnosis of connective tumor, but different grade/histological subtype/differentiation), and complete concordance (CC).

Increased grey wolf diurnality in southern Europe under human-restricted conditions.

Wolves have been the archetype of wildlife persecution by humans for centuries all over the world, and still are heavily persecuted in some regions. Facultative diurnal/nocturnal wild mammals are known to become more nocturnal when persecuted. Conversely, little is known regarding the possibility of wolves becoming more diurnal if not persecuted.

Nuclear Anxiety Amid the Russian-Ukrainian War 2022 (RUW-22): Descriptive Cross-Sectional Study.

Nuclear anxiety, which refers to the fear of nuclear war and its consequences, is expected to increase amid the Russian-Ukrainian War of 2022 (RUW-22). This study aimed to evaluate the prevalence of nuclear anxiety and its associated variables among university students in the Czech Republic during the first weeks of RUW-22. A cross-sectional survey-based study was carried out from March-April 2022, utilizing a digital self-administered questionnaire (SAQ) to collect data from the target population.

Mental Health Burden of the Russian-Ukrainian War 2022 (RUW-22): Anxiety and Depression Levels among Young Adults in Central Europe.

Armed conflicts are public health emergencies that affect human lives at multiple levels. The mental health of adolescents and young adults is at high risk during crisis settings; therefore, this cross-sectional survey-based study aimed to evaluate anxiety and depressive symptoms among university students in the Czech Republic following the Russian-Ukrainian war of 2022 (RUW-22). The study used standardized screening instruments; the Generalized Anxiety Disorder (GAD-7) for anxiety and the Patient Health Questionnaire (PHQ-9) for depression.

Global Transcriptomic Analysis During Murine Pneumonia Infection Reveals New Virulence Factors in Acinetobacter baumannii.

Background: Infections caused by multidrug-resistant pathogens such as Acinetobacter baumannii constitute a major health problem worldwide. In this study we present a global in vivo transcriptomic analysis of A. baumannii isolated from the lungs of mice with pneumonia infection.

Use of laser-assisted indocyanine green angiography in breast reconstruction: Systematic review and meta-analysis.

Laser-assisted indocyanine green angiography allows surgeons to determine intraoperative flap perfusion and achieve the best outcomes in breast reconstruction. This study stratified outcomes based on a meta-analysis of complications including longitudinal trials comparing the clinical assessment of skin flaps during breast reconstruction. Nine studies met inclusion criteria and reported outcomes of interest (n = 2256).

Isolation and characterization of 21 polymorphic microsatellite loci for the rockpool shrimp Palaemon elegans using Illumina MiSeq sequencing.

The rockpool shrimp Palaemon elegans is considered an important crustacean species within the European coastline fauna. This species is experiencing an ongoing geographical expansion beyond its native distribution range due to unintentional human introductions. A better knowledge of the genetic diversity, geographic structure and connectivity of its populations is necessary.

Latent Constrained Correlation Filter.

Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance. The idea is equivalent to estimating variable distribution based on the data sampling (bagging), which can be interpreted as finding solutions (variable distribution approximation) directly from sampled data space.

Leiomyosarcoma of the inferior vena cava: Survival rate following radical resection.

Leiomyosarcoma (LMS) of inferior vena cava (IVC) is a rare neoplasm affecting approximately 1/100,000 people. The prognosis is poor and potential curative intent occurs through challenging operations, such as vena cava resection, occasionally multivisceral when required, and vascular reconstruction. There are few retrospective series regarding this retroperitoneal neoplasm, and the aim of the present study was to discuss the experience at the São Paulo Cancer Institute and Clinics Hospital of University of São Paulo Medical School, São Paulo, Brazil.

Comparative cytogenetic analysis of marine species reveals a XXXX/XXY sex chromosome system in .

Background: The maintenance of species and the promotion of speciation are closely related to chromosomal rearrangements throughout evolution. Decapoda represents the most species-rich order among crustaceans and, despite its ecological and economic importance, little is known about decapod karyology. We aim at cytogenetically characterizing two sympatric prawn species.

transcriptome assembly of shrimp .

Unlabelled: The shrimp is a coastal decapod crustacean with a high commercial value. It is harvested for human consumption. In this study, we used Illumina sequencing technology (HiSeq 2000) to sequence, assemble and annotate the transcriptome of .

Traveling on discrete embeddings of gene expression.

Objective: High-throughput technologies have generated an unprecedented amount of high-dimensional gene expression data. Algorithmic approaches could be extremely useful to distill information and derive compact interpretable representations of the statistical patterns present in the data. This paper proposes a mining approach to extract an informative representation of gene expression profiles based on a generative model called the Counting Grid (CG).

Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features.

In recent scene recognition research images or large image regions are often represented as disorganized "bags" of features which can then be analyzed using models originally developed to capture co-variation of word counts in text. However, image feature counts are likely to be constrained in different ways than word counts in text. For example, as a camera pans upwards from a building entrance over its first few floors and then further up into the sky Fig.

Mapping brains on grids of features for schizophrenia analysis.

This paper exploits the embedding provided by the counting grid model and proposes a framework for the classification and the analysis of brain MRI images. Each brain, encoded by a count of local features, is mapped into a window on a grid of feature distributions. Similar sample are mapped in close proximity on the grid and their commonalities in their feature distributions are reflected in the overlap of windows on the grid.

Popliteal lymph node dissection for metastases of cutaneous malignant melanoma.

Popliteal lymph node dissection is performed when grossly metastatic nodal disease is encountered in the popliteal fossa or after microscopic metastasis is found in interval sentinel nodes during clinical staging of cutaneous malignant melanoma. Initially, an S-shaped incision is made to gain access to the popliteal fossa. A careful en bloc removal of fat tissue and lymph nodes is made to preserve and avoid the injury of peroneal and tibial nerves as well as popliteal vessels, following the previous recommendations.

Accessing transcriptomic data for ecologically important genes in the goose barnacle (Pollicipes pollicipes), with particular focus on cement proteins.

In this study 4310 expressed sequence tags (ESTs) were used to identify potentially useful transcripts for future studies in the gooseneck barnacle Pollicipes pollicipes (Gmelin, 1789). 119 ESTs were obtained in this work and 4191 were taken from Meusemann et al. (2010).

Bags of words models of epitope sets: HIV viral load regression with counting grids.

The immune system gathers evidence of the execution of various molecular processes, both foreign and the cells' own, as time- and space-varying sets of epitopes, small linear or conformational segments of the proteins involved in these processes. Epitopes do not have any obvious ordering in this scheme: The immune system simply sees these epitope sets as disordered "bags" of simple signatures based on whose contents the actions need to be decided. The immense landscape of possible bags of epitopes is shaped by the cellular pathways in various cells, as well as the characteristics of the internal sampling process that chooses and brings epitopes to cellular surface.

Investigating topic models' capabilities in expression microarray data classification.

In recent years a particular class of probabilistic graphical models-called topic models-has proven to represent an useful and interpretable tool for understanding and mining microarray data. In this context, such models have been almost only applied in the clustering scenario, whereas the classification task has been disregarded by researchers. In this paper, we thoroughly investigate the use of topic models for classification of microarray data, starting from ideas proposed in other fields (e.

Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers.

A score function induced by a generative model of the data can provide a feature vector of a fixed dimension for each data sample. Data samples themselves may be of differing lengths (e.g.

Molecular organization and phylogenetic analysis of 5S rDNA in crustaceans of the genus Pollicipes reveal birth-and-death evolution and strong purifying selection.

Background: The 5S ribosomal DNA (5S rDNA) is organized in tandem arrays with repeat units that consist of a transcribing region (5S) and a variable nontranscribed spacer (NTS), in higher eukaryotes. Until recently the 5S rDNA was thought to be subject to concerted evolution, however, in several taxa, sequence divergence levels between the 5S and the NTS were found higher than expected under this model. So, many studies have shown that birth-and-death processes and selection can drive the evolution of 5S rDNA.

Brain morphometry by probabilistic latent semantic analysis.

The paper propses a new shape morphometry approach that combines advanced classification techniques with geometric features to identify morphological abnormalities on the brain surface. Our aim is to improve the classification accuracy in distinguishing between normal subjects and schizophrenic patients. The approach is inspired by natural language processing.

Sentinel node biopsy in breast cancer: results in a large series.

Sentinel lymph node biopsy (SLNB) is an appropriate method for the evaluation of axillary status in cases of early breast cancer. We report our experience in treating cases evaluated using SLNB. We analyzed a total of 1192 cases assessed by means of SLNB from July 1999 to December 2007.

Fully non-homogeneous hidden Markov model double net: a generative model for haplotype reconstruction and block discovery.

Objective: In the last decade, haplotype reconstruction in unrelated individuals and haplotype block discovery have riveted the attention of computer scientists due to the involved strong computational aspects. Such tasks are usually addressed separately, but recently, statistical techniques have permitted them to be solved jointly. Following this trend we propose a generative model that permits researchers to solve the two problems jointly.