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https://www.readbyqxmd.com/read/28343025/recording-skeletal-completeness-a-standardised-approach
#1
Samantha K Rowbotham, Soren Blau, Jacqueline Hislop-Jambrich
Recording the preservation of human skeletal remains is the foundation of osteological analyses for forensic and archaeological skeletal material. Methods for recording the skeletal completeness, one of the components of skeletal preservation documentation, are however currently non-standardised and subjective. To provide practitioners with a scientific means to accurately quantify skeletal completeness in an adult skeleton, percentage values for each skeletal element have been established. Using computed tomography (CT) volume rendering applications and post-mortem CT skeletal data for one adult individual, the percentage value for each bone relative to the complete skeleton was calculated based on volume...
March 8, 2017: Forensic Science International
https://www.readbyqxmd.com/read/28335445/deciphering-egyptian-hieroglyphs-towards-a-new-strategy-for-navigation-in-museums
#2
Jaime Duque-Domingo, Pedro Javier Herrera, Enrique Valero, Carlos Cerrada
This work presents a novel strategy to decipher fragments of Egyptian cartouches identifying the hieroglyphs of which they are composed. A cartouche is a drawing, usually inside an oval, that encloses a group of hieroglyphs representing the name of a monarch. Aiming to identify these drawings, the proposed method is based on several techniques frequently used in computer vision and consists of three main stages: first, a picture of the cartouche is taken as input and its contour is localized. In the second stage, each hieroglyph is individually extracted and identified...
March 14, 2017: Sensors
https://www.readbyqxmd.com/read/28334975/apricot-an-integrated-computational-pipeline-for-the-sequence-based-identification-and-characterization-of-rna-binding-proteins
#3
Malvika Sharan, Konrad U Förstner, Ana Eulalio, Jörg Vogel
RNA-binding proteins (RBPs) have been established as core components of several post-transcriptional gene regulation mechanisms. Experimental techniques such as cross-linking and co-immunoprecipitation have enabled the identification of RBPs, RNA-binding domains (RBDs) and their regulatory roles in the eukaryotic species such as human and yeast in large-scale. In contrast, our knowledge of the number and potential diversity of RBPs in bacteria is poorer due to the technical challenges associated with the existing global screening approaches...
March 2, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28327421/adult-intussusceptions-clinical-presentation-diagnosis-and-therapeutic-management
#4
H Maghrebi, A Makni, R Rhaiem, S Atri, M Ayadi, M Jrad, M Jouini, M Kacem, Z Bensafta
BACKGROUND: Adult intussusception is a rare clinical entity. It is an uncommon cause of intestinal obstruction in adult. It often presents with nonspecific symptoms and preoperative diagnosis remains difficult. The purpose of this study was to determine the clinical entity and surgical approach of adult intussusception. METHODS: We have conducted a retrospective descriptive study starting from 2006 until 2014. We reviewed data for all patients that had been admitted to our department for intestinal intussusception...
February 20, 2017: International Journal of Surgery Case Reports
https://www.readbyqxmd.com/read/28325448/diagnosis-of-autism-through-eeg-processed-by-advanced-computational-algorithms-a-pilot-study
#5
Enzo Grossi, Chiara Olivieri, Massimo Buscema
BACKGROUND: Multi-Scale Ranked Organizing Map coupled with Implicit Function as Squashing Time algorithm(MS-ROM/I-FAST) is a new, complex system based on Artificial Neural networks (ANNs) able to extract features of interest in computerized EEG through the analysis of few minutes of their EEG without any preliminary pre-processing. A proof of concept study previously published showed accuracy values ranging from 94%-98% in discerning subjects with Mild Cognitive Impairment and/or Alzheimer's Disease from healthy elderly people...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28320652/spectral-learning-for-supervised-topic-models
#6
Yong Ren, Yining Wang, Jun Zhu
Supervised topic models simultaneously model the latent topic structure of large collections of documents and a response variable associated with each document. Existing inference methods are based on variational approximation or Monte Carlo sampling, which often suffers from the local minimum defect. Spectral methods have been applied to learn unsupervised topic models, such as latent Dirichlet allocation (LDA), with provable guarantees. This paper investigates the possibility of applying spectral methods to recover the parameters of supervised LDA (sLDA)...
March 15, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28302053/a-fast-and-efficient-python-library-for-interfacing-with-the-biological-magnetic-resonance-data-bank
#7
Andrey Smelter, Morgan Astra, Hunter N B Moseley
BACKGROUND: The Biological Magnetic Resonance Data Bank (BMRB) is a public repository of Nuclear Magnetic Resonance (NMR) spectroscopic data of biological macromolecules. It is an important resource for many researchers using NMR to study structural, biophysical, and biochemical properties of biological macromolecules. It is primarily maintained and accessed in a flat file ASCII format known as NMR-STAR. While the format is human readable, the size of most BMRB entries makes computer readability and explicit representation a practical requirement for almost any rigorous systematic analysis...
March 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28297341/assessment-of-monte-carlo-algorithm-for-compliance-with-rtog-0915-dosimetric-criteria-in-peripheral-lung-cancer-patients-treated-with-stereotactic-body-radiotherapy
#8
Damodar Pokhrel, Sumit Sood, Rajeev Badkul, Hongyu Jiang, Christopher McClinton, Christopher Lominska, Parvesh Kumar, Fen Wang
The purpose of the study was to evaluate Monte Carlo-generated dose distributions with the X-ray Voxel Monte Carlo (XVMC) algorithm in the treatment of peripheral lung cancer patients using stereotactic body radiotherapy (SBRT) with non-protocol dose-volume normalization and to assess plan outcomes utilizing RTOG 0915 dosimetric compliance criteria. The Radiation Therapy Oncology Group (RTOG) protocols for non-small cell lung cancer (NSCLC) currently require radiation dose to be calculated using tissue density heterogeneity corrections...
May 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297189/pelvic-inlet-shape-is-not-as-dimorphic-as-previously-suggested
#9
Hillary Delprete
It is well known that there are significant differences in the pelves of males and females due, in part, to differing constraints. The male and female pelves must be suitable for upright posture and locomotion, but the female pelvis must also be suitable for reproduction. These differing requirements lead to differences in the shape and size of various pelvic dimensions. These differences are reflected in the pelvic inlet, midplane, and outlet. Current research has documented dimorphisms in the posterior and anterior spaces in all three of these planes...
April 2017: Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology
https://www.readbyqxmd.com/read/28286031/a-passage-retrieval-method-based-on-probabilistic-information-retrieval-model-and-umls-concepts-in-biomedical-question-answering
#10
Mourad Sarrouti, Said El Alaoui Ouatik
BACKGROUND AND OBJECTIVE: Passage retrieval, the identification of top-ranked passages that may contain the answer for a given biomedical question, is a crucial component for any biomedical question answering (QA) system. Passage retrieval in open-domain QA is a longstanding challenge widely studied over the last decades. However, it still requires further efforts in biomedical QA. In this paper, we present a new biomedical passage retrieval method based on Stanford CoreNLP sentence/passage length, probabilistic information retrieval (IR) model and UMLS concepts...
March 7, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28281722/intracranial-region-of-the-vertebral-artery-morphometric-study-in-the-context-of-clinical-usefulness
#11
Jarosław Dzierżanowski, Arkadiusz Szarmach, Bartosz Baścik, Piotr Czapiewski, Adam Muc, Maciej Piskunowicz, Mateusz Krakowiak, Tomasz Szmuda, Paweł Słoniewski, Edyta Szurowska, Paweł J Winklewski
BACKGROUND: The aim of this study was to analyse the morphometry of the intracranial segment of the vertebral artery in the context of clinical usefulness. The results were compared with published data available in full-text archived medical journals. MATERIALS AND METHODS: More than 100 DSA (digital subtraction angiography) and 3D angio-CT (computed tomography) examinations were used to measure the following parameters: the whole and partial length of V4 in characteristic anatomical points, the diameter in three places (on the level of foramen magnum, in point of exit to the PICA, and in the vertebro-basilar junction), the angle of connection to the VAs, and all anatomical variations including fenestration, duplication, dolichoectasia or absent artery...
March 10, 2017: Folia Morphologica (Warsz)
https://www.readbyqxmd.com/read/28272810/deep-learning-for-computational-chemistry
#12
REVIEW
Garrett B Goh, Nathan O Hodas, Abhinav Vishnu
The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models...
March 8, 2017: Journal of Computational Chemistry
https://www.readbyqxmd.com/read/28261935/rectal-gas-volume-defining-cut-offs-for-screening-for-evacuation-disorders-in-patients-with-constipation
#13
S-Y Park, D Khemani, A Acosta, D Eckert, M Camilleri
BACKGROUND: Diagnosis of rectal evacuation disorders (RED) is currently based on anorectal manometry (ARM) and evacuation tests in specialized laboratories; we recently showed higher rectal gas volume (RGV) and maximum rectal gas transaxial area (MRGTA) measured on abdominal and pelvic computed tomography (CT) in patients with documented RED.The aim of this study was to obtain cut-off values of RGV, MRGTA, and rectal area on scout film (RASF) to differentiate constipated patients with RED from those without RED, based on ARM, balloon expulsion test (BET), and colon transit test...
March 6, 2017: Neurogastroenterology and Motility: the Official Journal of the European Gastrointestinal Motility Society
https://www.readbyqxmd.com/read/28258046/patient-similarity-in-prediction-models-based-on-health-data-a-scoping-review
#14
REVIEW
Anis Sharafoddini, Joel A Dubin, Joon Lee
BACKGROUND: Physicians and health policy makers are required to make predictions during their decision making in various medical problems. Many advances have been made in predictive modeling toward outcome prediction, but these innovations target an average patient and are insufficiently adjustable for individual patients. One developing idea in this field is individualized predictive analytics based on patient similarity. The goal of this approach is to identify patients who are similar to an index patient and derive insights from the records of similar patients to provide personalized predictions...
March 3, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28255517/generation-of-pig-airways-using-rules-developed-from-the-measurements-of-physical-airways
#15
Md Khurshidul Azad, Hansen A Mansy
BACKGROUND: A method for generating bronchial tree would be helpful when constructing models of the tree for benchtop experiments as well as for numerical modeling of flow or sound propagation in the airways. Early studies documented the geometric details of the human airways that were used to develop methods for generating human airway tree. However, methods for generating animal airway tree are scarcer. Earlier studies suggested that the morphology of animal airways can be significantly different from that of humans...
September 2016: Journal of Bioengineering & Biomedical Science
https://www.readbyqxmd.com/read/28252588/-transethmoidal-decompressive-orbitotomy-in-the-patients-presenting-with-endocrine-ophthalmopathy-at-the-stage-of-remission-peculiarities-of-the-surgical-intervention-and-the-results-of-exophthalmos-correction
#16
P A Kochetkov
The objective of the present study was to analyze the original results of the transethmoidal decompressive surgical interventions on the eye orbits of the patients presenting with endocrine ophthalmopathy (EOP) including the evaluation of regress of exophthalmos during the post-operative period. The study included 51 patients with endocrine ophthalmopathy at the stage of remission or pharmacotherapeutic compensation of the underlying process. A total of 80 eye-socket were treated in 29 patients with unilateral exophthalmos and 22 ones having bilateral exophthalmos...
2017: Vestnik Otorinolaringologii
https://www.readbyqxmd.com/read/28252401/robust-and-low-rank-representation-for-fast-face-identification-with-occlusions
#17
Michail Iliadis, Haohong Wang, Rafael Molina, Aggelos K Katsaggelos
In this paper we propose an iterative method to address the face identification problem with block occlusions. Our approach utilizes a robust representation based on two characteristics in order to model contiguous errors (e.g., block occlusion) effectively. The first fits to the errors a distribution described by a tailored loss function. The second describes the error image as having a specific structure (resulting in lowrank in comparison to image size). We will show that this joint characterization is effective for describing errors with spatial continuity...
February 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28252101/sclereids-are-strong-enough-to-support-the-delicate-corollas-experimental-and-computational-data-evidence-from-camellia-sinensis-l
#18
Wei Zhang, Yuanyuan Xue, Shuo Yang, Yangang Wang, Hong Zhao
Sclereids are a fundamental cell type that widely exist in higher plants and are generally thought to have a mechanical function. However, the occurrence of sclereids in the ephemeral corolla has rarely been documented and their biological significance is poorly understood. In this study, flower buds from Camellia sinensis at various ontogenetic stages were sampled, cleared, sectioned, stained, and examined using light microscopy to ascertain the morphology and distribution of sclereids and their variation...
March 2, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28244409/external-validation-and-optimization-of-international-consensus-clinical-target-volumes-for-adjuvant-radiation-therapy-in-bladder-cancer
#19
Abhinav V Reddy, John P Christodouleas, Tianming Wu, Norman D Smith, Gary D Steinberg, Stanley L Liauw
PURPOSE: International consensus (IC) clinical target volumes (CTVs) have been proposed to standardize radiation field design in the treatment of patients at high risk of locoregional failure (LRF) after radical cystectomy. The purpose of this study was to externally validate the IC CTVs in a cohort of postsurgical patients followed up for LRF and identify revisions that might improve the IC CTVs' performance. METHODS AND MATERIALS: Among 334 patients with pT3 to pT4 bladder cancer treated with radical cystectomy, LRF developed in 58 (17%), of whom 52 had computed tomography scans available for review...
March 15, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28231282/mindboggling-morphometry-of-human-brains
#20
Arno Klein, Satrajit S Ghosh, Forrest S Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted...
February 2017: PLoS Computational Biology
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