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Thomas Young Ho Yoon, Richard A Michaud, Mitesh Patel, Alexandra M Manibo
OBJECTIVE: This study was conducted to evaluate variations in and the prevalence of the lingual concavity. MATERIALS & METHODS: This study used images taken between January 1st, 2011 and August 31st, 2015 from a total of 104 patient charts randomly selected from a private practice. These images were all acquired from a single cone beam computed tomography (CBCT) machine. The CBCT's were reviewed in cross sectional images of both the left and right anterior incisor and posterior molar regions...
October 19, 2016: Journal of Oral Implantology
Melanie L Chang, April Nowell
For the past few years, people everywhere have been "going Paleo." Websites and social media touting the benefits of eating a "Paleo diet" and following a "Paleolithic life style" serve as calls to arms for health-conscious individuals seeking information about the latest health and fitness trends. Many of these people participate in programs such as Crossfit, which involve major social and life-style modification components and therefore facilitate the dissemination of dietary fads.(1) The PALEOf(x)(TM) conference, which bills itself as "the world's premier holistic wellness event," has attracted sellout crowds of thousands of attendees for the last four years...
September 2016: Evolutionary Anthropology
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass
Using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The proposed methodology uses image processing and pattern recognition techniques. To classify volumes of interest into nodules and non-nodules, we used shape measurements only, analyzing their shape using shape diagrams, proportion measurements, and a cylinder-based analysis. In addition, we use the support vector machine classifier. To test the proposed methodology, it was applied to 833 images from the LIDC-IDRI database, and cross-validation with k-fold, where [Formula: see text], was used to validate the results...
October 17, 2016: Medical & Biological Engineering & Computing
Benjamin L Cook, Ana M Progovac, Pei Chen, Brian Mullin, Sherry Hou, Enrique Baca-Garcia
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data...
2016: Computational and Mathematical Methods in Medicine
Farzaneh Karimi-Alavijeh, Saeed Jalili, Masoumeh Sadeghi
BACKGROUND: Metabolic syndrome which underlies the increased prevalence of cardiovascular disease and Type 2 diabetes is considered as a group of metabolic abnormalities including central obesity, hypertriglyceridemia, glucose intolerance, hypertension, and dyslipidemia. Recently, artificial intelligence based health-care systems are highly regarded because of its success in diagnosis, prediction, and choice of treatment. This study employs machine learning technics for predict the metabolic syndrome...
May 2016: ARYA Atherosclerosis
H Wang, P J Lv, Y Wang, Y C Sun
OBJECTIVE: To quantitatively evaluate the assembly precision of fabricating complete denture by computer numerical control (CNC) in manufacturing dentition and baseplate separately plus adhesive molding. METHODS: The 3D surface data of a standard edentulous maxilla plaster cast model and the temporary base-plate were obtained using an Activity 880 3D scanner. The data (data1) of a complete denture were designed using a set of computer aided design (CAD) software developed by the research group of this study...
October 18, 2016: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
Y Wang, Y S Meng, Y Fan, C Chen, W Yu, H Hao, W K Han, J R Hao, J Jin, L Q Zhou
OBJECTIVE: To determine whether chewing gum during the postoperative period facilitates the recovery of bowel function in patients after radical cystectomy with ileum urinary diversion. METHODS: In the study, 60 patients who underwent radical cystectomy followed by ileum urinary diversions during Nov. 2014 and Nov. 2015 in Department of Urology of Peking University First Hospital were randomized into three groups: gum chewing group, placebo group treated with the abdomen physical therapy machine and control group treated with ordinary method...
October 18, 2016: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
Kun Zhang, Yanxi Chen, Minfei Qiang, Yini Hao
Single, double, and triple hindfoot arthrodeses are used to correct hindfoot deformities and relieve chronic pain. However, joint fusion may lead to dysfunction in adjacent articular surfaces. We compared range of motion in adjacent joints before and after arthrodesis to determine the effects of each procedure on joint motion. The theory of moment of couple, bending moment and balanced loading was applied to each of 16 fresh cadaver feet to induce dorsiflexion, plantarflexion, internal rotation, external rotation, inversion, and eversion...
October 18, 2016: Scientific Reports
Sridhar Ravi, Dmitry Kolomenskiy, Thomas Engels, Kai Schneider, Chun Wang, Jörn Sesterhenn, Hao Liu
The natural wind environment that volant insects encounter is unsteady and highly complex, posing significant flight-control and stability challenges. It is critical to understand the strategies insects employ to safely navigate in natural environments. We combined experiments on free flying bumblebees with high-fidelity numerical simulations and lower-order modeling to identify the mechanics that mediate insect flight in unsteady winds. We trained bumblebees to fly upwind towards an artificial flower in a wind tunnel under steady wind and in a von Kármán street formed in the wake of a cylinder...
October 18, 2016: Scientific Reports
Quynh C Nguyen, Dapeng Li, Hsien-Wen Meng, Suraj Kath, Elaine Nsoesie, Feifei Li, Ming Wen
BACKGROUND: Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. OBJECTIVE: The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors...
October 17, 2016: JMIR Public Health and Surveillance
Shanshan Xu, Lanlan Dong, Yingying Shi, Liujun Chen, Peipei Yuan, Shuang Wang, Zhi Li, Yan Sun, Song Han, Jun Yin, Biwen Peng, Xiaohua He, Wanhong Liu
Human foamy virus (HFV) is a complex and unique retrovirus with the longest genomes among retroviruses used as vectors for gene therapy. Long non-coding RNAs (lncRNAs) are regarded as key regulators that involved in diverse biological processes during viral infection. However, the role of lncRNAs in HFV infection remains unknown. In this study, we utilized next-generation sequencing to first characterize lncRNAs in 293T cells after HFV infection, evaluating length distribution, exon number distribution, volcano picture and lncRNA class distribution...
October 18, 2016: AIDS Research and Human Retroviruses
Jianjian Wang, Pingfa Feng, Jianfu Zhang, Wanchong Cai, Hao Shen
Rotary ultrasonic machining (RUM) is a well-known and efficient method for manufacturing holes in brittle materials. RUM is characterized by improved material removal rates, reduced cutting forces and reduced edge chipping sizes at the hole exit. The aim of this study is to investigate the critical feed rate to guarantee the effectiveness of RUM. Experimental results on quartz glass and sapphire specimens show that when the feed rate exceeds a critical value, the cutting force increases abruptly, accompanied by a significant decrease of ultrasonic amplitude...
October 6, 2016: Ultrasonics
Artur Carnicer, Oriol Arteaga, Josep M Suñé-Negre, Bahram Javidi
The counterfeiting of pharmaceutical products represents concerns for both industry and the safety of the general public. Falsification produces losses to companies and poses health risks for patients. In order to detect fake pharmaceutical tablets, we propose producing film-coated tablets with gold nanoparticle encoding. These coated tablets contain unique polarimetric signatures. We present experiments to show that ellipsometric optical techniques, in combination with machine learning algorithms, can be used to distinguish genuine and fake samples...
October 1, 2016: Optics Letters
Amit R Majithia, Ben Tsuda, Maura Agostini, Keerthana Gnanapradeepan, Robert Rice, Gina Peloso, Kashyap A Patel, Xiaolan Zhang, Marjoleine F Broekema, Nick Patterson, Marc Duby, Ted Sharpe, Eric Kalkhoven, Evan D Rosen, Inês Barroso, Sian Ellard, Sekar Kathiresan, Stephen O'Rahilly, Krishna Chatterjee, Jose C Florez, Tarjei Mikkelsen, David B Savage, David Altshuler
Clinical exome sequencing routinely identifies missense variants in disease-related genes, but functional characterization is rarely undertaken, leading to diagnostic uncertainty. For example, mutations in PPARG cause Mendelian lipodystrophy and increase risk of type 2 diabetes (T2D). Although approximately 1 in 500 people harbor missense variants in PPARG, most are of unknown consequence. To prospectively characterize PPARγ variants, we used highly parallel oligonucleotide synthesis to construct a library encoding all 9,595 possible single-amino acid substitutions...
October 17, 2016: Nature Genetics
Ahmer M Hameed, Henry C Pleass, Germaine Wong, Wayne J Hawthorne
BACKGROUND: The two main options for renal allograft preservation are static cold storage (CS) and machine perfusion (MP). There has been considerably increased interest in MP preservation of kidneys, however conflicting evidence regarding its efficacy and associated costs have impacted its scale of clinical uptake. Additionally, there is no clear consensus regarding oxygenation, and hypo- or normothermia, in conjunction with MP, and its mechanisms of action are also debated. The primary aims of this article were to elucidate the benefits of MP preservation with and without oxygenation, and/or under normothermic conditions, when compared with CS prior to deceased donor kidney transplantation...
October 2016: Medicine (Baltimore)
James McDonagh, David S Palmer, Tanja Van Mourik, John B O Mitchell
We compare a range of computational methods for the prediction of sublimation thermodynamics (enthalpy, entropy and free energy of sublimation). These include a model from theoretical chemistry that utilizes crystal lattice energy minimization (with the DMACRYS program) and QSPR models generated by both machine learning (Random Forest and Support Vector Machines) and regression (Partial Least Squares) methods. Using these methods we investigate the predictability of the enthalpy, entropy and free energy of sublimation, with consideration of whether such a method may be able to improve solubility prediction schemes...
October 17, 2016: Journal of Chemical Information and Modeling
Peter Sadowski, David R Fooshee, Niranjan Subrahmanya, Pierre Baldi
We demonstrate how machine learning (ML) and quantum mechanical (QM) methods can be used in two-way synergy to build chemical reaction expert systems. The proposed ML approach to reaction prediction identifies electron sources and sinks among the reactants, and then ranks all source-sink pairs. This is used to address a major bottleneck of QM calculations by providing a prioritized list of mechanistic reaction steps. QM modeling can then be used to compute the transition states and activation energies of the top-ranked reactions, providing additional or improved examples of ranked source-sink pairs...
October 17, 2016: Journal of Chemical Information and Modeling
William R Clark, Francesco Garzotto, Mauro Neri, Anna Lorenzin, Marta Zaccaria, Claudio Ronco
PURPOSE: Dialysis is a highly quantitative therapy involving large volumes of both clinical and technical data. While automated data collection has been implemented for chronic dialysis, this has not been done for acute kidney injury patients treated with continuous renal replacement therapy (CRRT). METHODS: After a brief review of the fundamental aspects of electronic medical records (EMRs), a new tool designed to provide clinicians with individualized CRRT treatment data is analyzed, with emphasis on its quality assurance capabilities...
October 10, 2016: International Journal of Artificial Organs
Shaoyu Yang, Xueqin Chen, Yuelong Pan, Jiekai Yu, Xin Li, Shenglin Ma
The present study aimed to identify potential serum biomarkers for predicting the clinical outcomes of patients with advanced non-small cell lung cancer (NSCLC) treated with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‑TKIs). A total of 61 samples were collected and analyzed using the integrated approach of magnetic bead‑based weak cation exchange chromatography and matrix‑assisted laser desorption/ionization‑time of flight‑mass spectrometry. The Zhejiang University Protein Chip Data Analysis system was used to identify the protein spectra of patients that are resistant and sensitive to EGFR‑TKIs...
October 11, 2016: Molecular Medicine Reports
Roshanak Farhoodi, Bahar Akbal-Delibas, Nurit Haspel
Discriminating native-like structures from false positives with high accuracy is one of the biggest challenges in protein-protein docking. While there is an agreement on the existence of a relationship between various favorable intermolecular interactions (e.g., Van der Waals, electrostatic, and desolvation forces) and the similarity of a conformation to its native structure, the precise nature of this relationship is not known. Existing protein-protein docking methods typically formulate this relationship as a weighted sum of selected terms and calibrate their weights by using a training set to evaluate and rank candidate complexes...
October 17, 2016: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
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