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https://www.readbyqxmd.com/read/28549603/an-augmented-iterative-method-for-identifying-a-stress-free-reference-configuration-in-image-based-biomechanical-modeling
#1
Manuel K Rausch, Martin Genet, Jay D Humphrey
Continued advances in computational power and methods have enabled image-based biomechanical modeling to become an important tool in basic science, diagnostic and therapeutic medicine, and medical device design. One of the many challenges of this approach, however, is identification of a stress-free reference configuration based on in vivo images of loaded and often prestrained or residually stressed soft tissues and organs. Fortunately, iterative methods have been proposed to solve this inverse problem, among them Sellier's method...
May 5, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28549512/infection-prevention-workforce-potential-benefits-to-educational-diversity
#2
Sara M Reese, Heather M Gilmartin
BACKGROUND: Nurses have historically occupied the infection preventionist (IP) role. As the knowledge and skills needed to advance the field expand, professionals from public health and the laboratory sciences have become IPs. Our study describes the characteristics of current IPs and assesses for relationships between background, certification, experience, and type of work performed. METHODS: The data were drawn from an existing dataset collected in the conduct of the Association for Professionals in Infection Control and Epidemiology (APIC) MegaSurvey...
June 1, 2017: American Journal of Infection Control
https://www.readbyqxmd.com/read/28548893/dynamic-decision-making-learning-processes-and-new-research-directions
#3
Cleotilde Gonzalez, Pegah Fakhari, Jerome Busemeyer
OBJECTIVE: The aim of this manuscript is to provide a review of contemporary research and applications on dynamic decision making (DDM). BACKGROUND: Since early DDM studies, there has been little systematic progress in understanding decision making in complex, dynamic systems. Our review contributes to better understanding of decision making processes in dynamic tasks. METHOD: We discuss new research directions in DDM to highlight the value of simplification in the study of complex decision processes, divided into experimental and theoretical/computational approaches, and focus on problems involving control tasks and search-and-choice tasks...
May 1, 2017: Human Factors
https://www.readbyqxmd.com/read/28547802/the-power-of-exclusion-using-automated-osteometric-sorting-pair-matching
#4
Jeffrey James Lynch, John Byrd, Carrie B LeGarde
This study compares the original pair-matching osteometric sorting model (J Forensic Sci 2003;48:717) against two new models providing validation and performance testing across three samples. The samples include the Forensic Data Bank, USS Oklahoma, and the osteometric sorting reference used within the Defense POW/MIA Accounting Agency. A computer science solution to generating dynamic statistical models across a commingled assemblage is presented. The issue of normality is investigated showing the relative robustness against non-normality and a data transformation to control for normality...
May 26, 2017: Journal of Forensic Sciences
https://www.readbyqxmd.com/read/28546583/hybridizing-feature-selection-and-feature-learning-approaches-in-qsar-modeling-for-drug-discovery
#5
Ignacio Ponzoni, Víctor Sebastián-Pérez, Carlos Requena-Triguero, Carlos Roca, María J Martínez, Fiorella Cravero, Mónica F Díaz, Juan A Páez, Ramón Gómez Arrayás, Javier Adrio, Nuria E Campillo
Quantitative structure-activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a specific target property plays a critical role. Two main general approaches can be used for this modeling procedure: feature selection and feature learning. In this paper, a performance comparative study of two state-of-art methods related to these two approaches is carried out. In particular, regression and classification models for three different issues are inferred using both methods under different experimental scenarios: two drug-like properties, such as blood-brain-barrier and human intestinal absorption, and enantiomeric excess, as a measurement of purity used for chiral substances...
May 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28545640/artificial-intelligence-in-precision%C3%A2-cardiovascular-medicine
#6
REVIEW
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang, Mehmet Aydar, Takeshi Kitai
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine and statistics, to apply the optimal machine-learning algorithm...
May 30, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28544705/sma3s-a-universal-tool-for-easy-functional-annotation-of-proteomes-and-transcriptomes
#7
Carlos S Casimiro-Soriguer, Antonio Muñoz-Mérida, Antonio J Pérez-Pulido
The current cheapening of next-generation sequencing has led to an enormous growth in the number of sequenced genomes and transcriptomes, allowing wet labs to get the sequences from their organisms of study. To make the most of these data, one of the first things that should be done is the functional annotation of the protein-coding genes. But it used to be a slow and tedious step that can involve the characterization of thousands of sequences. Sma3s is an accurate computational tool for annotating proteins in an unattended way...
May 20, 2017: Proteomics
https://www.readbyqxmd.com/read/28544106/inappropriate-prescribing-in-chronic-kidney-disease-a-systematic-review-of-prevalence-associated-clinical-outcomes-and-impact-of-interventions
#8
REVIEW
Wubshet Hailu Tesfaye, Ronald L Castelino, Barbara C Wimmer, Syed Tabish R Zaidi
INTRODUCTION: Adjusting doses of renally cleared medications and/or avoidance of nephrotoxic medications are standard clinical practices in chronic kidney disease (CKD), albeit the prevalence of inappropriate prescribing (IP) in these patients remains high. Therefore, this work sought to systematically review the prevalence of IP and compare the relative effectiveness of available interventions in reducing IP in CKD. METHODS: Studies were identified searching PubMed/Medline, EMBASE, Cochrane Library, IPA, Web of Science, Ovid/Medline, CINAHL, and PsychINFO databases...
May 23, 2017: International Journal of Clinical Practice
https://www.readbyqxmd.com/read/28541337/quantum-computing-election-pledges-and-a-thief-who-made-science-history
#9
(no author information available yet)
No abstract text is available yet for this article.
May 24, 2017: Nature
https://www.readbyqxmd.com/read/28541225/stability-of-enzymatic-biosensors-for-wearable-applications
#10
Apurva Sonawane, Pandiaraj Manickam, Shekhar Bhansali
Technological evolution in wearable sensors is accounting for major growth and transformation in multitude of industries ranging from healthcare to computing & informatics to communication and biomedical sciences. The major driver for this transformation is the new-found ability to continuously monitor and analyze the patients' physiology in patients' natural setting. Numerous wearable sensors are already on the market and are summarized. Most of the current technologies have focused on electro-physiological, electro-mechanical or acoustic measurements...
May 19, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28540260/the-quality-of-educational-services-from-students-viewpoint-in-iran-a-systematic-review-and-meta-analysis
#11
REVIEW
Ahmad Moosavi, Mohammad Mohseni, Hajar Ziaiifar, Saber Azami-Aghdash, Mahdi Gharasi Manshadi, Aziz Rezapour
BACKGROUND: Students' view is an important factor in assessing the quality of universities. Servqual pattern is regarded as the most prominent for services quality measurement. This study aimed to review systematically studies that investigated the quality of educational services. METHODS: A systematic review and meta-analysis of studies evaluating students' viewpoint about quality of educational services were conducted. Required data were collected from PubMed, Embase, Scopus, Science Direct, Google Scholar, SID, Magiran, and Iranmedex, without time restriction...
April 2017: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/28539731/improved-annotations-of-23-differentially-expressed-hypothetical-proteins-in-methicillin-resistant-s-aureus
#12
Jessica Marklevitz, Laura K Harris
Antibiotic resistant Staphylococcus aureus is a major public health concern effecting millions of people annually. Medical science has documented completely untreatable S. aureus infections. These strains are appearing in the community with increasing frequency. New diagnostic and therapeutic options are needed to combat this deadly infection. Interestingly, around 50% of the proteins in S. aureus are annotated as hypothetical. Methods to select hypothetical proteins related to antibiotic resistance have been inadequate...
2017: Bioinformation
https://www.readbyqxmd.com/read/28539087/artificial-intelligence-methodologies-and-their-application-to-diabetes
#13
Mercedes Rigla, Gema García-Sáez, Belén Pons, Maria Elena Hernando
In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a wide variety of functions and physiologic variables, such as heart rate, hours of sleep, number of steps walked and movement, have been available through wristbands or watches. New data, hydration, geolocation, and barometric pressure, among others, will be incorporated in the future. All these parameters, when analyzed, can be helpful for patients and doctors' decision support...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28538404/pregabalin-can-decrease-acute-pain-and-morphine-consumption-in-laparoscopic-cholecystectomy-patients-a-meta-analysis-of-randomized-controlled-trials
#14
Shijie Li, Junqiang Guo, Fangjun Li, Zhijia Yang, Shuai Wang, Changjiang Qin
BACKGROUND: Pregabalin has been used as an adjunct for the management of acute pain in laparoscopic cholecystectomy. This meta-analysis aimed to illustrate the efficacy and safety of pregabalin for pain management following laparoscopic cholecystectomy. METHODS: In March 2017, a systematic computer-based search was conducted in PubMed, EMBASE, Web of Science, Cochrane Database of Systematic Reviews, and Google databases. Data on patients prepared for laparoscopic cholecystectomy in studies that compared pregabalin versus placebo were retrieved...
May 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28538385/surgical-outcomes-of-different-approaches-to-esophageal-replacement-in-long-gap-esophageal-atresia-a-systematic-review
#15
Jia Liu, Yifan Yang, Chao Zheng, Rui Dong, Shan Zheng
BACKGROUND: Esophageal replacement (ER) surgery has been widely used in long-gap esophageal atresia (LGEA) over the past few decades. The most commonly used surgical approaches in many pediatric surgical centers include colon interposition (CI), gastric pull-up (GPU), jejunal interposition (JI), and gastric tube reconstruction (GTR). However, there is no systematic evidence on which is the optimal conduit for the native esophagus. The aim of this systematic review was to evaluate the short- and long-term outcomes among these 4 replacement approaches in LGEA cases based on current evidence...
May 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28536089/smart-devices-for-older-adults-managing-chronic-disease-a-scoping-review
#16
REVIEW
Ben Yb Kim, Joon Lee
BACKGROUND: The emergence of smartphones and tablets featuring vastly advancing functionalities (eg, sensors, computing power, interactivity) has transformed the way mHealth interventions support chronic disease management for older adults. Baby boomers have begun to widely adopt smart devices and have expressed their desire to incorporate technologies into their chronic care. Although smart devices are actively used in research, little is known about the extent, characteristics, and range of smart device-based interventions...
May 23, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28535714/non-muscle-invasive-bladder-cancer-a-vision-for-the-future
#17
Per-Uno Malmström, Sachin Agrawal, Mats Bläckberg, Peter J Boström, Bernard Malavaud, Dirk Zaak, Gregers G Hermann
The management of non-muscle-invasive bladder cancer (NMIBC) has evolved from the first reports on bladder endoscopy and transurethral resection to the introduction of adjuvant intravesical treatment. However, disease recurrence and progression remain an ongoing risk, placing a heavy burden on healthcare resources and on patients' quality of life. Deeper understanding of the molecular basis of the disease and developments in optics, lasers and computer science are already offering opportunities to revolutionize care and improve long-term prognosis...
February 7, 2017: Scandinavian Journal of Urology
https://www.readbyqxmd.com/read/28535553/differences-in-pain-processing-between-patients-with-chronic-low-back-pain-recurrent-low-back-pain-and-fibromyalgia
#18
Dorien Goubert, Lieven Danneels, Thomas Graven-Nielsen, Filip Descheemaeker, Mira Meeus
BACKGROUND: The impairment in musculoskeletal structures in patients with low back pain (LBP) is often disproportionate to their complaint. Therefore, the need arises for exploration of alternative mechanisms contributing to the origin and maintenance of non-specific LBP. The recent focus has been on central nervous system phenomena in LBP and the pathophysiological mechanisms underlying the various symptoms and characteristics of chronic pain. Knowledge concerning changes in pain processing in LBP remains ambiguous, partly due to the diversity in the LBP population...
May 2017: Pain Physician
https://www.readbyqxmd.com/read/28534676/applications-of-raman-spectroscopy-in-biopharmaceutical-manufacturing-a-short-review
#19
Kevin Buckley, Alan G Ryder
The production of active pharmaceutical ingredients (APIs) is currently undergoing its biggest transformation in a century. The changes are based on the rapid and dramatic introduction of protein- and macromolecule-based drugs (collectively known as biopharmaceuticals) and can be traced back to the huge investment in biomedical science (in particular in genomics and proteomics) that has been ongoing since the 1970s. Biopharmaceuticals (or biologics) are manufactured using biological-expression systems (such as mammalian, bacterial, insect cells, etc...
June 2017: Applied Spectroscopy
https://www.readbyqxmd.com/read/28533945/the-role-of-speed-in-adhd-related-working-memory-deficits-a-time-based-resource-sharing-and-diffusion-model-account
#20
Alexander Weigard, Cynthia Huang-Pollock
Several recent commentaries suggest that, for psychological science to move beyond "homuncular" explanations for cognitive control, it is critically important to examine the role of basic and computationally well-defined processes (e.g. cognitive processing speed). Correlational evidence has previously linked slow speed to working memory (WM) deficits in ADHD, but the directionality of this relationship has not been investigated experimentally and the mechanisms through which speed may influence WM are unclear...
March 2017: Clinical Psychological Science
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