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https://www.readbyqxmd.com/read/28214992/data-mining-in-hiv-aids-surveillance-system-application-to-portuguese-data
#1
Alexandra Oliveira, Brígida Mónica Faria, A Rita Gaio, Luís Paulo Reis
The Human Immunodeficiency Virus (HIV) is an infectious agent that attacks the immune system cells. Without a strong immune system, the body becomes very susceptible to serious life threatening opportunistic diseases. In spite of the great progresses on medication and prevention over the last years, HIV infection continues to be a major global public health issue, having claimed more than 36 million lives over the last 35 years since the recognition of the disease. Monitoring, through registries, of HIV-AIDS cases is vital to assess general health care needs and to support long-term health-policy control planning...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28214930/investigation-of-optical-neuro-monitoring-technique-for-detection-of-maintenance-and-emergence-states-during-general-anesthesia
#2
Gabriela Hernandez-Meza, Meltem Izzetoglu, Mary Osbakken, Michael Green, Hawa Abubakar, Kurtulus Izzetoglu
The American Society of Anesthesiologist recommends peripheral physiological monitoring during general anesthesia, which offers no information regarding the effects of anesthetics on the brain. Since no "gold standard" method exists for this evaluation, such a technique is needed to ensure patient comfort, procedure quality and safety. In this study we investigated functional near infrared spectroscopy (fNIRS) as possible monitor of anesthetic effects on the prefrontal cortex. Anesthetic drugs, such as sevoflurane, suppress the cerebral metabolism and alter the cerebral blood flow...
February 18, 2017: Journal of Clinical Monitoring and Computing
https://www.readbyqxmd.com/read/28214683/neutron-measurements-in-radiotherapy-a-method-to-correct-neutron-sensitive-devices-for-parasitic-photon-response
#3
L Irazola, J A Terrón, R Bedogni, A Pola, M Lorenzoli, E Jimenez-Ortega, A R Barbeiro, B Sánchez-Nieto, F Sánchez-Doblado
One of the major causes of secondary malignancies after radiotherapy treatments are peripheral doses, known to increase for some newer techniques (such as IMRT or VMAT). For accelerators operating above 10MV, neutrons can represent important contribution to peripheral doses. This neutron contamination can be measured using different passive or active techniques, available in the literature. As far as active (or direct-reading) procedures are concerned, a major issue is represented by their parasitic photon sensitivity, which can significantly affect the measurement when the point of test is located near to the field-edge...
February 12, 2017: Applied Radiation and Isotopes
https://www.readbyqxmd.com/read/28214537/biomechanical-behavior-of-endodontically-treated-premolars-using-different-preparation-designs-and-cad-cam-materials
#4
Diogo Pedrollo Lise, Annelies Van Ende, Jan De Munck, Thaís Yumi Umeda Suzuki, Luiz Clovis Cardoso Vieira, Bart Van Meerbeek
OBJECTIVES: To evaluate the effect of restoration design ('2.5-mm deep endocrown', '5-mm deep endocrown' or '5-mm deep post&crown') and CAD/CAM material type (composite or lithium disilicate glass-ceramic) on the load-to-failure of endodontically treated premolars in absence of any ferrule. METHODS: The crowns of 48 single-rooted premolars were cut and the roots were endodontically treated. Teeth were randomly divided into six groups (n=8); teeth in each group were restored using one of the two tested materials with standardized CAD/CAM fabricated endocrowns (with either 2...
February 15, 2017: Journal of Dentistry
https://www.readbyqxmd.com/read/28214535/multilevel-ensemble-model-for-prediction-of-iga-and-igg-antibodies
#5
Divya Khanna, Prashant Singh Rana
Identification of antigen for inducing specific class of antibody is prime objective in peptide based vaccine designs, immunodiagnosis, and antibody productions. It's urge to introduce a reliable system with high accuracy and efficiency for prediction. In the present study, a novel multilevel ensemble model is developed for prediction of antibodies IgG and IgA. Epitope length is important in training the model and it is efficient to use variable length of epitopes. In this ensemble approach, seven different machine learning models are combined to predict variable length of epitopes (4 to 50)...
February 15, 2017: Immunology Letters
https://www.readbyqxmd.com/read/28213949/peri-implant-bone-remodeling-at-the-interface-of-three-different-implant-types-a-histomorphometric-study-in-mini-pigs
#6
Wenjuan Zhou, Sonja Kuderer, Zhonghao Liu, Christian Ulm, Xiaohui Rausch-Fan, Stefan Tangl
OBJECTIVES: The aim of this study was to perform a histomorphometric evaluation of the healing characteristics and jawbone remodeling processes in the peri-implant bone tissue of three commonly used implant surfaces, during the early weeks of osseointegration. MATERIAL AND METHODS: Dental implants with three different surfaces (anodically modified, hydroxyapatite (HA)-coated and machined) were inserted into the mandibular side-tooth region of twelve adult mini-pigs...
February 18, 2017: Clinical Oral Implants Research
https://www.readbyqxmd.com/read/28213338/a-uniaxial-cyclic-compression-method-for-characterizing-the-rheological-and-textural-behaviors-of-mechanically-dewatered-sewage-sludge
#7
Fenglin Liang, Martial Sauceau, Gilles Dusserre, Patricia Arlabosse
The mechanically dewatered sewage sludge with total solid content around 20% on a weight basis is very similar to yield stress fluid, its complex transition between solid and fluid states is not perfectly reversible and especially challenging in terms of pumping, land spreading and drying. To characterize the rheological and textural properties of highly concentrated sludge, a specific methodology based on uniaxial single and cyclic compression tests is developed. Three types of sludge samples (fresh original, fresh premixed and aged original ones) are extruded into cylinders and pressed between two parallel plates using a material testing machine...
February 7, 2017: Water Research
https://www.readbyqxmd.com/read/28213254/chips-how-to-build-and-implement-fluidic-devices-in-flow-based-systems
#8
Víctor Cerdà, Jessica Avivar, Daniel Moreno
The development of automatic analyzers based on flow techniques involves the use and continuous innovation of fluidic devices. New trends tend toward miniaturization of sophisticated fluidic platforms requiring continuous advances in this field. The availability of a mechanic and electronic workshop together with the know-how to build new fluidic devices provides the tools for the creation of innovative instrumentation and stimulates the creativity of analytical chemists. Thus, in this review we present how to build and use flow-based fluidic devices, together with the tools required, such as computerized controlled lathes, milling machines, laser engraver machines, low-temperature co-fired ceramics technology and 3D printers, highlighting their strong and weak points...
May 1, 2017: Talanta
https://www.readbyqxmd.com/read/28213166/influence-of-clamping-stress-and-duration-on-the-trauma-of-liver-tissue-during-surgery-operation
#9
Jin Wang, Qing-Yuan Yu, Wei Li, Bing-Rui Wang, Zhong-Rong Zhou
BACKGROUND: Tissue grasping damage often occurs in minimally invasive surgery, which would increase the postoperative recovery time and the risk of surgical complications. The purpose of this study was to evaluate the relationship between liver tissue trauma and compression stress magnitude and duration during tissue clamping operation. METHODS: The clamping experiments of liver tissues in vivo were conducted by using a universal soft tissue mechanical testing machine under different clamping stress magnitudes and durations...
February 10, 2017: Clinical Biomechanics
https://www.readbyqxmd.com/read/28213145/how-are-you-feeling-a-personalized-methodology-for-predicting-mental-states-from-temporally-observable-physical-and-behavioral-information
#10
Suppawong Tuarob, Conrad S Tucker, Soundar Kumara, C Lee Giles, Aaron L Pincus, David E Conroy, Nilam Ram
It is believed that anomalous mental states such as stress and anxiety not only cause suffering for the individuals, but also lead to tragedies in some extreme cases. The ability to predict the mental state of an individual at both current and future time periods could prove critical to healthcare practitioners. Currently, the practical way to predict an individual's mental state is through mental examinations that involve psychological experts performing the evaluations. However, such methods can be time and resource consuming, mitigating their broad applicability to a wide population...
February 14, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28212907/improving-preoperative-throughput
#11
Jennifer Franklin, Tony Franklin
Preoperative throughput is an important piece in achieving the perioperative goal for first case on time starts. An inefficient preoperative (preop) department can delay surgery starts and impact the patient flow throughout the day. Research is abundant in applying lean six sigma principles in the operating room, however there are minimal studies that specifically apply these tools in the preop. The perioperative process includes the preop, operating room, and the postoperative departments. All areas have to run like a well-oiled machine to improve performance and achieve positive outcomes...
February 2017: Journal of Perianesthesia Nursing: Official Journal of the American Society of PeriAnesthesia Nurses
https://www.readbyqxmd.com/read/28212880/automatic-detection-of-hypoxia-in-renal-tissue-stained-with-hif-alpha
#12
Aline Rodrigues Buzin, Nayana Damiani Macedo, Isabela Bastos Binotti Abreu De Araujo, Breno Valentim Nogueira, Tadeu Uggere De Andrade, Denise Coutinho Endringer, Dominik Lenz
OBJECTIVE: The objective of this study was the identification of the stain HIF-alpha using the Image Cytometry, and to help to count the positive cells (with HIF-alpha) and the negative cells (without HIF-alpha) from the same sample. METHOD: 17 images of renal tissues from male rats of Winstar lineage; overall, there were 12.587 objects (cells) in the images for analysis. The acquired images were then analyzed through the free softwares CellProfiler (version 2.1...
February 14, 2017: Journal of Immunological Methods
https://www.readbyqxmd.com/read/28212605/erratum-to-mirnacle-machine-learning-with-smote-and-random-forest-for-improving-selectivity-in-pre-mirna-ab-initio-prediction
#13
Yuri Bento Marques, Alcione de Paiva Oliveira, Ana Tereza Ribeiro Vasconcelos, Fabio Ribeiro Cerqueira
No abstract text is available yet for this article.
February 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28212419/evaluating-the-lexico-grammatical-differences-in-the-writing-of-native-and-non-native-speakers-of-english-in-peer-reviewed-medical-journals-in-the-field-of-pediatric-oncology-creation-of-the-genuine-index-scoring-system
#14
Alberto Alexander Gayle, Motomu Shimaoka
INTRODUCTION: The predominance of English in scientific research has created hurdles for "non-native speakers" of English. Here we present a novel application of native language identification (NLI) for the assessment of medical-scientific writing. For this purpose, we created a novel classification system whereby scoring would be based solely on text features found to be distinctive among native English speakers (NS) within a given context. We dubbed this the "Genuine Index" (GI). METHODOLOGY: This methodology was validated using a small set of journals in the field of pediatric oncology...
2017: PloS One
https://www.readbyqxmd.com/read/28212312/genome-wide-prediction-of-dna-methylation-using-dna-composition-and-sequence-complexity-in-human
#15
Chengchao Wu, Shixin Yao, Xinghao Li, Chujia Chen, Xuehai Hu
DNA methylation plays a significant role in transcriptional regulation by repressing activity. Change of the DNA methylation level is an important factor affecting the expression of target genes and downstream phenotypes. Because current experimental technologies can only assay a small proportion of CpG sites in the human genome, it is urgent to develop reliable computational models for predicting genome-wide DNA methylation. Here, we proposed a novel algorithm that accurately extracted sequence complexity features (seven features) and developed a support-vector-machine-based prediction model with integration of the reported DNA composition features (trinucleotide frequency and GC content, 65 features) by utilizing the methylation profiles of embryonic stem cells in human...
February 16, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28212101/fast-solving-quasi-optimal-ls-s-%C3%A2-vm-based-on-an-extended-candidate-set
#16
Yuefeng Ma, Xun Liang, James T Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
The semisupervised least squares support vector machine (LS-S³VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S³VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S³VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model...
February 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28212054/machine-learning-for-medical-imaging
#17
Bradley J Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L Kline
Machine learning is a technique for recognizing patterns that can be applied to medical images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be misapplied. Machine learning typically begins with the machine learning algorithm system computing the image features that are believed to be of importance in making the prediction or diagnosis of interest. The machine learning algorithm system then identifies the best combination of these image features for classifying the image or computing some metric for the given image region...
February 17, 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28211904/structural-and-functional-characterization-of-deep-sea-thermophilic-bacteriophage-gve2-hnh-endonuclease
#18
Likui Zhang, Dandan Xu, Yanchao Huang, Xinyuan Zhu, Mianwen Rui, Ting Wan, Xin Zheng, Yulong Shen, Xiangdong Chen, Kesen Ma, Yong Gong
HNH endonucleases in bacteriophages play a variety of roles in the phage lifecycle as key components of phage DNA packaging machines. The deep-sea thermophilic bacteriophage Geobacillus virus E2 (GVE2) encodes an HNH endonuclease (GVE2 HNHE). Here, the crystal structure of GVE2 HNHE is reported. This is the first structural study of a thermostable HNH endonuclease from a thermophilic bacteriophage. Structural comparison reveals that GVE2 HNHE possesses a typical ββα-metal fold and Zn-finger motif similar to those of HNH endonucleases from other bacteriophages, apart from containing an extra α-helix, suggesting conservation of these enzymes among bacteriophages...
February 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28211713/quantum-performance-of-thermal-machines-over-many-cycles
#19
Gentaro Watanabe, B Prasanna Venkatesh, Peter Talkner, Adolfo Del Campo
The performance of quantum heat engines is generally based on the analysis of a single cycle. We challenge this approach by showing that the total work performed by a quantum engine need not be proportional to the number of cycles. Furthermore, optimizing the engine over multiple cycles leads to the identification of scenarios with a quantum enhancement. We demonstrate our findings with a quantum Otto engine based on a two-level system as the working substance that supplies power to an external oscillator.
February 3, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28211693/a-probabilistic-finite-state-logic-machine-realized-experimentally-on-a-single-dopant-atom
#20
Barbara Fresch, Juanita Bocquel, Sven Rogge, Raphael D Levine, Francoise Remacle
Exploiting the potential of nanoscale devices for logic processing requires the implementation of computing functionalities departing from the conventional switching paradigm. We report on the design and the experimental realisation of a probabilistic finite state machine in a single phosphorus donor atom placed in a silicon matrix electrically addressed and probed by Scanning Tunnelling Spectroscopy (STS). The single atom logic unit simulates the flow of visitors in a maze whose topology is determined by the dynamics of the electronic transport through the states of the dopant...
February 17, 2017: Nano Letters
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