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Operant learning

Cristian Axenie, Christoph Richter, Jörg Conradt
Biological and technical systems operate in a rich multimodal environment. Due to the diversity of incoming sensory streams a system perceives and the variety of motor capabilities a system exhibits there is no single representation and no singular unambiguous interpretation of such a complex scene. In this work we propose a novel sensory processing architecture, inspired by the distributed macro-architecture of the mammalian cortex. The underlying computation is performed by a network of computational maps, each representing a different sensory quantity...
October 20, 2016: Sensors
Abra Jeffers, Vanessa Sochat, Michael W Kattan, Changhong Yu, Erin Melcon, Kosi Yamoah, Timothy R Rebbeck, Alice S Whittemore
BACKGROUND: Prostate cancer prognosis is variable, and management decisions involve balancing patients' risks of recurrence and recurrence-free death. Moreover, the roles of body mass index (BMI) and race in risk of recurrence are controversial [1,2]. To address these issues, we developed and cross-validated RAPS (Risks After Prostate Surgery), a personal prediction model for biochemical recurrence (BCR) within 10 years of radical prostatectomy (RP) that includes BMI and race as possible predictors, and recurrence-free death as a competing risk...
October 24, 2016: Prostate
Ningyu Zhang, Huajun Chen, Jiaoyan Chen, Xi Chen
With the design and development of smart cities, opportunities as well as challenges arise at the moment. For this purpose, lots of data need to be obtained. Nevertheless, circumstances vary in different cities due to the variant infrastructures and populations, which leads to the data sparsity. In this paper, we propose a transfer learning method for urban waterlogging disaster analysis, which provides the basis for traffic management agencies to generate proactive traffic operation strategies in order to alleviate congestion...
2016: Computational Intelligence and Neuroscience
Shafi Mussa, Nigel E Drury, John Stickley, Natasha E Khan, Timothy J Jones, David J Barron, William J Brawn
OBJECTIVES: Despite the challenges of surgical management of congenital heart disease, excellent outcomes are being achieved. Newly appointed congenital heart surgeons may have limited first operator experience for many complex conditions but are expected to achieve similar outcomes. A strategy of routine mentorship from more experienced surgeons may be the key to enabling new surgeons to become proficient while maintaining excellent outcomes for patients. METHODS: The arterial switch operation (ASO) is a technically demanding but relatively commonly performed, reproducible, and easily visualized neonatal procedure, making it valuable for mentoring newly appointed congenital heart surgeons...
October 23, 2016: European Journal of Cardio-thoracic Surgery
Yong Sung Won, Seung-Ju Lee, Hee Youn Kim, Dong Sup Lee
INTRODUCTION: Narrow working space is a major problem to overcome during retroperitoneoscopic ureterolithotomy. We evaluated initial 5 years experience of retroperitoneoscopic ureterolithotomy for large impacted upper ureteral calculi. PATIENTS AND METHODS: Between January 2011 and December 2015, a total of 37 consecutive patients were evaluated. A 12-mm camera port at middle of midaxillary line and two 5-mm working ports in posterior axillary line were created...
October 21, 2016: Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A
Benoit Peyronnet, Grégoire Robert, Vincent Comat, Morgan Rouprêt, Fernando Gomez-Sancha, Jean-Nicolas Cornu, Vincent Misrai
PURPOSE: To compare the learning curves, perioperative and early functional outcomes after HoLEP and GreenLEP. METHODS: Data from the first 100 consecutive cases treated by GreenLEP and HoLEP by two surgeons were prospectively collected from dedicated databases and analysed retrospectively. En-bloc GreenLEP and two-lobar HoLEP enucleations were conducted using the GreenLight HPS™ 2090 laser and Lumenis™ holmium laser. Patients' characteristics, perioperative outcomes and functional outcomes after 1, 3 and 6 months were compared between groups...
October 20, 2016: World Journal of Urology
Chao Zhang, Lei Du, Dacheng Tao
The techniques of random matrices have played an important role in many machine learning models. In this letter, we present a new method to study the tail inequalities for sums of random matrices. Different from other work (Ahlswede & Winter, 2002; Tropp, 2012; Hsu, Kakade, & Zhang, 2012), our tail results are based on the largest singular value (LSV) and independent of the matrix dimension. Since the LSV operation and the expectation are noncommutative, we introduce a diagonalization method to convert the LSV operation into the trace operation of an infinitely dimensional diagonal matrix...
October 20, 2016: Neural Computation
Kai Pun Wong, Kin Pan Au, Shi Lam, Brian H Lang
INTRODUCTION: Patients with hoarseness of voice, previous neck operation or suspicion of malignancy are at "high-risk" of having pre-thyroidectomy vocal cord (VC) palsy. Therefore, VC functions should be evaluated before the operation. We aimed to evaluate the accuracy of hoarseness, voice related questionnaire (Voice handicap Index (VHI) - 30) and transcutaneous laryngeal ultrasound (TLUSG) in diagnosing VC palsy, as well as the role of TLUSG in the evaluation of high-risk patients. METHODS: 1000 patients undergoing thyroidectomy or other endocrine-related neck procedures were prospectively included...
October 20, 2016: Thyroid: Official Journal of the American Thyroid Association
Hasseeb Azzawi, Jingyu Hou, Yong Xiang, Russul Alanni
Lung cancer is a leading cause of cancer-related death worldwide. The early diagnosis of cancer has demonstrated to be greatly helpful for curing the disease effectively. Microarray technology provides a promising approach of exploiting gene profiles for cancer diagnosis. In this study, the authors propose a gene expression programming (GEP)-based model to predict lung cancer from microarray data. The authors use two gene selection methods to extract the significant lung cancer related genes, and accordingly propose different GEP-based prediction models...
October 2016: IET Systems Biology
Catherine de Blacam, Sean Tierney, Odhran Shelley
BACKGROUND: Surgical training requires exposure to clinical decision-making and operative experience in a supervised environment. It is recognised that learning ability is compromised when fatigued. The European Working Time Directive requires a decrease in working hours, but compliance reduces trainees' clinical exposure, which has profound implications for plastic surgery training. The aim of this study was to evaluate plastic surgery registrars' experience of an EWTD-compliant rota, and to examine its impact on patient care, education, and logbook activity...
October 20, 2016: Journal of Plastic Surgery and Hand Surgery
Yoonsik Shim, Andrew Philippides, Kevin Staras, Phil Husbands
We propose a biologically plausible architecture for unsupervised ensemble learning in a population of spiking neural network classifiers. A mixture of experts type organisation is shown to be effective, with the individual classifier outputs combined via a gating network whose operation is driven by input timing dependent plasticity (ITDP). The ITDP gating mechanism is based on recent experimental findings. An abstract, analytically tractable model of the ITDP driven ensemble architecture is derived from a logical model based on the probabilities of neural firing events...
October 2016: PLoS Computational Biology
Vladimir Dedovic, Goran Stankovic
Despite permanent improvement in success rate and technical developments, chronic total occlusion (CTO) remains undertreated by percutaneous coronary intervention (PCI). Dedicated CTO operators from Japan, Europe and USA perform these procedures with success rate beyond 90%, but there is still huge gap between this group of specialists and broader population of PCI operators. Recently proposed CTO scores can be used for patients' selection according to the CTO operators' experience. Patients with low CTO score values may be suitable for less experienced operators at the beginning of the CTO PCI learning curve, while more complex CTOs (higher CTO score values) should be differed to CTO experts...
October 19, 2016: Panminerva Medica
Diane VonBehren, Molly M Killion, Carol Burke, Betsy Finkelmeier, Brigit Zamora
Three teams of perinatal expert nurses participated in planning and designing a new maternity unit, operationalizing the move to the new space, and evaluating care processes and workflows after the move. The hospitals involved were University of California, San Francisco Benioff Children's Hospital, Prentice Women's Hospital of Northwestern Memorial Healthcare in Chicago, IL, and Florida Hospital Orlando, Florida Hospital for Women. Although each team discussed specific details and lessons learned, there is remarkable consistency among the experiences of these teams and with the discussion of the process by the team at Mercy Hospital St...
November 2016: MCN. the American Journal of Maternal Child Nursing
R J Kastner, C M Stone, P Steinmann, M Tanner, F Tediosi
In the last few years, the concepts of disease elimination and eradication have again gained consideration from the global health community, with Guinea worm disease (dracunculiasis) on track to become the first parasitic disease to be eradicated. Given the many complex and interlinking issues involved in committing to a disease eradication initiative, such commitments must be based on a solid assessment of a broad range of factors. In this chapter, we discuss the value and implications of undertaking a systematic and fact-based analysis of the overall situation prior to embarking on an elimination or eradication programme...
2016: Advances in Parasitology
Timothy B Lannin, Fredrik I Thege, Brian J Kirby
Advances in rare cell capture technology have made possible the interrogation of circulating tumor cells (CTCs) captured from whole patient blood. However, locating captured cells in the device by manual counting bottlenecks data processing by being tedious (hours per sample) and compromises the results by being inconsistent and prone to user bias. Some recent work has been done to automate the cell location and classification process to address these problems, employing image processing and machine learning (ML) algorithms to locate and classify cells in fluorescent microscope images...
October 2016: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
Angela M Rose, Ian R Hambleton, Selvi M Jeyaseelan, Christina Howitt, Rhea Harewood, Jacqueline Campbell, Tanya N Martelly, Tracey Blackman, Kenneth S George, Trevor A Hassell, David O Corbin, Rudolph Delice, Patsy Prussia, Branka Legetic, Anselm J Hennis
Objective To describe the surveillance model used to develop the first national, population-based, multiple noncommunicable disease (NCD) registry in the Caribbean (one of the first of its kind worldwide); registry implementation; lessons learned; and incidence and mortality rates from the first years of operation. Methods Driven by limited national resources, this initiative of the Barbados Ministry of Health (MoH), in collaboration with The University of the West Indies, was designed to collect prospective data on incident stroke and acute myocardial infarction (MI) (heart attack) cases from all health care facilities in this small island developing state (SIDS) in the Eastern Caribbean...
February 2016: Revista Panamericana de Salud Pública, Pan American Journal of Public Health
Yuan Liu, Benoit M Dawant
Deep brain stimulation, as a primary surgical treatment for various neurological disorders, involves implanting electrodes to stimulate target nuclei within millimeter accuracy. Accurate pre-operative target selection is challenging due to the poor contrast in its surrounding region in MR images. In this paper, we present a learning-based method to automatically and rapidly localize the target using multi-modal images. A learning-based technique is applied first to spatially normalize the images in a common coordinate space...
February 2016: ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
Kerryn L Story, Asma S Bukhari, Maria Bovill
Military dietitians have long been valued members of the health care team, called on for their expertise as early as World War I. However, in the more recent conflicts over the past two decades, their role in health care delivery as a component of medical stability operations has been largely undefined. The purpose of this study was to explore the types of missions supported by U.S. military dietitians and characterize any unique competencies critical to their success during these missions using an online questionnaire...
October 2016: Military Medicine
Jason S Radowsky, Carlos J Rodriguez, Gary G Wind, Eric A Elster
The application of lessons learned on the battlefield for timely surgical control of lower extremity hemorrhage secondary to blast injuries to the civilian practice for similar wounding patterns from industrial accidents or terrorist activities is imperative. Although simple cut-down procedures are commonly sufficient for the control of blood vessels for distal extremity traumatic amputations, high-thigh or disarticulation wounding patterns often require more complex surgical methods. The following details both the decision-making process and operative techniques for controlling hemorrhage from lower extremity blast injuries...
October 2016: Military Medicine
Jeffrey Fagen, Phyllis Ohr, Kimberly Boller
In this article, we reflect upon Carolyn Rovee-Collier's pioneering research on learning and memory in infants, especially that using the mobile conjugate reinforcement task, for our understanding of (a) cognitive development in infants born prematurely and those with Down's syndrome and (b) her prediction that infants' performance in the mobile conjugate reinforcement and similar operant tasks would predict later intellectual functioning. We then examine the implications of her research on time windows (the integration of new information into a memory) and memory reactivation (the retrieval of a forgotten memory as a result of the re-exposure to a component of the original learning experience) for early intervention programs and clinicians treating victims of early trauma...
November 2016: Developmental Psychobiology
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