Read by QxMD icon Read


Keivan Maghooli, Mostafa Langarizadeh, Leila Shahmoradi, Mahdi Habibi-Koolaee, Mohamad Jebraeily, Hamid Bouraghi
INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. OBJECTIVE: we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD...
October 2016: Acta Informatica Medica: AIM
Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris
Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, many attentions have been put on categorical data clustering, where data objects are made up of non-numerical attributes. For categorical data clustering the rough set based approaches such as Maximum Dependency Attribute (MDA) and Maximum Significance Attribute (MSA) has outperformed their predecessor approaches like Bi-Clustering (BC), Total Roughness (TR) and Min-Min Roughness(MMR). This paper presents the limitations and issues of MDA and MSA techniques on special type of data sets where both techniques fails to select or faces difficulty in selecting their best clustering attribute...
2017: PloS One
Bernhard Wieser
Why did the recumbent bicycle never become a dominant design, despite the fact that it was faster than the safety bicycle on the racetrack? Hassaan Ahmed et al. argue in their recently published paper that the main reason for the marginalization of the recumbent bicycle was semiotic power deployed by the Union Cycliste Internationale (UCI). Here, I demonstrate that the authors drew their conclusions from an incomplete application of the Social Construction of Technology (SCOT) framework. Understanding the diffusion of alternative bicycle designs requires considering more than speed, and more than the UCI as a powerful actor...
December 1, 2016: Social Studies of Science
Zhen-Yu Zhang, Susana Ravassa, Wen-Yi Yang, Thibault Petit, Martin Pejchinovski, Petra Zürbig, Begoña López, Fang-Fei Wei, Claudia Pontillo, Lutgarde Thijs, Lotte Jacobs, Arantxa González, Thomas Koeck, Christian Delles, Jens-Uwe Voigt, Peter Verhamme, Tatiana Kuznetsova, Javier Díez, Harald Mischak, Jan A Staessen
Current knowledge on the pathogenesis of diastolic heart failure predominantly rests on case-control studies involving symptomatic patients with preserved ejection fraction and relying on invasive diagnostic procedures including endomyocardial biopsy. Our objective was to gain insight in serum and urinary biomarkers reflecting collagen turnover and associated with asymptomatic diastolic LV dysfunction. We randomly recruited 782 Flemish (51.3% women; 50.5 years). We assessed diastolic LV function from the early and late diastolic peak velocities of the transmitral blood flow and of the mitral annulus...
2016: PloS One
Jonathan G Wagner, Todd Schneberk, Marissa Zobrist, H Gene Hern, Jamie Jordan, Megan Boysen-Osborn, Michael Menchine
BACKGROUND: Each application cycle, emergency medicine (EM) residency programs attempt to predict which applicants will be most successful in residency and rank them accordingly on their program's Rank Order List (ROL). OBJECTIVE: Determine if ROL position, participation in a medical student rotation at their respective program, or United States Medical Licensing Examination (USMLE) Step 1 rank within a class is predictive of residency performance. METHODS: All full-time EM faculty at Los Angeles County + University of Southern California (LAC + USC), Harbor-UCLA (Harbor), Alameda Health System-Highland (Highland), and the University of California-Irvine (UCI) ranked each resident in the classes of 2013 and 2014 at time of graduation...
December 9, 2016: Journal of Emergency Medicine
Peng-Bo Zhang, Zhi-Xin Yang
The AdaBoost algorithm is a popular ensemble method that combines several weak learners to boost generalization performance. However, conventional AdaBoost.RT algorithms suffer from the limitation that the threshold value must be manually specified rather than chosen through a self-adaptive mechanism, which cannot guarantee a result in an optimal model for general cases. In this paper, we present a generic AdaBoost framework with robust threshold mechanism and structural optimization on regression problems...
November 24, 2016: IEEE Transactions on Cybernetics
Thamiris Ricci de Araújo, Mayra Gonçalves Menegueti, Maria Auxiliadora-Martins, Valéria Castilho, Lucieli Dias Pedreschi Chaves, Ana Maria Laus
Objective: to calculate the cost of the average time of nursing care spent and required by patients in the Intensive Care Unit (ICU) and the financial expense for the right dimension of staff of nursing professionals. Method: a descriptive, quantitative research, using the case study method, developed in adult ICU patients. We used the workload index - Nursing Activities Score; the average care time spent and required and the amount of professionals required were calculated using equations and from these data, and from the salary composition of professionals and contractual monthly time values, calculated the cost of direct labor of nursing...
November 21, 2016: Revista Latino-americana de Enfermagem
Francielle Topolski, Mauricio A de O Accorsi, Hugo J Trevisi, Osmar A Cuoghi, Ricardo Moresca
AIM: To verify the influence of different bracket shapes and placement references according to Andrews and MBT systems on the expression of angulation in upper central incisors (UCI). MATERIALS AND METHODS: Bracket positioning and mesiodistal dental movement simulations were performed and the angulations produced in the dental crown were evaluated, based on computed tomography scan images of 30 UCI and AutoCAD software analysis. Rectangular (Andrews) and rhomboid (MBT) brackets were placed according to the references recommended by Andrews and MBT systems - long axis of the clinical crown (LACC) and incisal edge (IE) respectively...
October 1, 2016: Journal of Contemporary Dental Practice
Navid Alem, Joseph Rinehart, Brian Lee, Doug Merrill, Safa Sobhanie, Kyle Ahn, Ran Schwarzkopf, Maxime Cannesson, Zeev Kain
BACKGROUND: Efforts to mitigate costs while improving surgical care quality have received much scrutiny. This includes the challenging issue of readmission subsequent to hospital discharge. Initiatives attempting to preclude readmission after surgery require planned and unified efforts extending throughout the perioperative continuum. Patient optimization prior to discharge, enhanced disease monitoring, and seamless coordination of care between hospitals and community providers is integral to this process...
2016: Perioperative Medicine
Alice van Zon, Yvette E Smulders, Inge Stegeman, Geerte G J Ramakers, Veronique J C Kraaijenga, Simone P C Koenraads, Gijsbert A Van Zanten, Albert B Rinia, Robert J Stokroos, Rolien H Free, Johan H M Frijns, Wendy J Huinck, Emmanuel A M Mylanus, Rinze A Tange, Adriana L Smit, Hans G X M Thomeer, Vedat Topsakal, Wilko Grolman
OBJECTIVES/HYPOTHESIS: To investigate hearing capabilities and self-reported benefits of simultaneous bilateral cochlear implantation (BiCI) compared with unilateral cochlear implantation (UCI) after a 2-year follow-up and to evaluate the learning effect of cochlear implantees over time. STUDY DESIGN: Multicenter randomized controlled trial. METHODS: Thirty-eight postlingually deafened adults were included in this study and randomly allocated to either UCI or simultaneous BiCI...
September 26, 2016: Laryngoscope
Nivethitha Somu, M R Gauthama Raman, Kannan Kirthivasan, V S Shankar Sriram
The impact of internet and information systems across various domains have resulted in substantial generation of multidimensional datasets. The use of data mining and knowledge discovery techniques to extract the original information contained in the multidimensional datasets play a significant role in the exploitation of complete benefit provided by them. The presence of large number of features in the high dimensional datasets incurs high computational cost in terms of computing power and time. Hence, feature selection technique has been commonly used to build robust machine learning models to select a subset of relevant features which projects the maximal information content of the original dataset...
November 2016: Journal of Medical Systems
Thrissia Koralek, Miryha G Runnerstrom, Brandon J Brown, Chukwuemeka Uchegbu, Tania B Basta
Objectives. We examined the role of outbreak information sources through four domains: knowledge, attitudes, beliefs, and stigma related to the 2014 Ebola virus disease (EVD) outbreak. Methods. We conducted an online survey of 797 undergraduates at the University of California, Irvine (UCI) and Ohio University (OU) during the peak of the outbreak. We calculated individual scores for domains and analyzed associations to demographic variables and news sources. Results. Knowledge of EVD was low and misinformation was prevalent...
2016: PLoS Currents
L Di Luzio, E Masi, L Mandia, C Castagna, M Meroni, E Ferrazzi
No abstract text is available yet for this article.
September 2016: Ultrasound in Obstetrics & Gynecology
Oscar E Pecho, María M Pérez, Razvan Ghinea, Alvaro Della Bona
OBJECTIVES: To analyze the influence of lightness, chroma and hue differences on visual shade matching performed by dental students. METHODS: 100 dental students (DS) volunteers with normal vision participated in the study. A spectroradiometer (SP) was used to measure the spectral reflectance of 4 extracted human upper central incisors (UCI 1-4) and shade tabs from Vita Classical (VC) and Vita Toothguide 3D-Master (3D) shade guides. Measurements were performed over a gray background, inside a viewing booth and under D65 illuminant (diffuse/0° geometry)...
September 7, 2016: Dental Materials: Official Publication of the Academy of Dental Materials
Muhammad Sadiq Khan, Mohammed Ali Al-Garadi, Ainuddin Wahid Abdul Wahab, Tutut Herawan
Soft set theory is a mathematical approach that provides solution for dealing with uncertain data. As a standard soft set, it can be represented as a Boolean-valued information system, and hence it has been used in hundreds of useful applications. Meanwhile, these applications become worthless if the Boolean information system contains missing data due to error, security or mishandling. Few researches exist that focused on handling partially incomplete soft set and none of them has high accuracy rate in prediction performance of handling missing data...
2016: SpringerPlus
Anna J Warren, Danny Axford, Neil G Paterson, Robin L Owen
A reproducible, and sample independent means of predictably obtaining large, well-ordered crystals has proven elusive in macromolecular crystallography. In the structure determination pipeline, crystallisation often proves to be a rate-limiting step, and the process of obtaining even small or badly ordered crystals can prove time-consuming and laborious. This is particularly true in the field of membrane protein crystallography and this is reflected in the limited number of unique membrane protein structures deposited in the protein data bank (less than 650 by June 2016 - http://blanco...
2016: Advances in Experimental Medicine and Biology
Siti Norul Huda Sheikh Abdullah, Farah Aqilah Bohani, Baher H Nayef, Shahnorbanun Sahran, Omar Al Akash, Rizuana Iqbal Hussain, Fuad Ismail
Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is amongst the potential. The main goal of this paper is to enhance the performance of LVQ technique in order to gain higher accuracy detection for brain tumor in MRIs. The classical way of selecting the winner code vector in LVQ is to measure the distance between the input vector and the codebook vectors using Euclidean distance function...
2016: Computational and Mathematical Methods in Medicine
Z Zhang, S Ravassa, W Y Yang, T Petit, Z Petra, B Lopez, F F Wei, C Pontillo, L Thijs, L Jacobs, A Gonzalez, T Koeck, D Christian, J U Voigt, P Verhamme, T Kuznetsova, J Diez, H Mischak, J A Staessen
OBJECTIVE: Moving from multidimensional urinary proteomic markers to single urinary collagen fragments and linking these fragments to serum biomarkers of myocardial collagen turnover may generate new insights in the pathophysiology of diastolic LV function. DESIGN AND METHOD: In 782 randomly recruited Flemish (51.3% women; 50.5 years), we assessed diastolic LV function by echocardiography, sequenced urinary collagen I (uCI) and III (uCIII) fragments, and determined serum markers of collagen I synthesis (PICP, carboxyterminal propeptide of procollagen) and breakdown (CITP, carboxyterminal telopeptide) and the tissue inhibitor of matrix metalloproteinase type 1 (TIMP 1)...
September 2016: Journal of Hypertension
Levente Kovács, Fruzsina Luca Kézér, Ferenc Ruff, Ottó Szenci
Peripartal autonomic nervous system function and early maternal behavior were investigated in 79 multiparous Holstein-Friesian cows. Animals were allocated into four groups based on the technology of calving management: 1) unassisted calving in a group pen (UCG; N=19), 2) unassisted calving in an individual pen (UCI; N=21), 3) assisted calving with appropriately timed obstetrical assistance (ACA; N=20), and 4) assisted calving with premature obstetrical assistance (ACP; N=19). Heart rate, the high frequency (HF) component of heart rate variability (HRV) as a measure of vagal activity and the ratio between the low frequency (LF) and HF components (LF/HF ratio) as a parameter of sympathetic nervous system activity were calculated...
October 15, 2016: Physiology & Behavior
Bent R Rønnestad, Joar Hansen, Geir Vegge, Iñigo Mujika
Endurance athletes usually achieve performance peaks with 2-4 weeks of overload training followed by 1-3weeks of tapering. With a tight competition schedule, this may not be appropriate. This case investigates the effect of a 7-day overload period including daily high-intensity aerobic training followed by a 5-day step taper between two competitions in an elite cross-country mountain biker. Pre-test peak oxygen consumption was 89 ml·kg(-1)·min(-1), peak aerobic power 6.8 W·kg(-1), power output at 2 mmol·L(-1) blood lactate concentration 3...
August 1, 2016: Journal of Sports Sciences
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"