BackgroundAlthough gait patterns disturbances are known to be related to cognitive decline, there is no consensus on the possibility of predicting one from the other. It is necessary to find the optimal gait features, experimental protocols, and computational algorithms to achieve this purpose.PurposesTo assess the efficacy of the Stable Sparse Classifiers procedure for discriminating young and healthy older adults, as well as healthy and cognitively impaired elderly groups from their gait patterns. To identify the walking tasks or combinations of tasks (...) and specific spatio-temporal gait features that allow the best prediction with SSC.MethodsA sample of 125 participants was studied. They underwent assessment with five neuropsychological tests that explore different cognitive domains. A summarized cognitive index, based on the Mahalanobis distance from normative data, was calculated. The sample was divided into three groups using k-means clustering of MDCog in addition to Age. The participants executed four walking tasks and their gait patterns, measured with a body-fixed Inertial Measurement Unit, were used to calculate 16 STGF and dual-task costs. SSC was then employed to predict which group the participants belonged to. The classification's performance was assessed using the area under the receiver operating curves and the stable biomarkers were identified.ResultsThe discrimination HE vs. MCI-E revealed that the combination of the easy dual-task and the fast walking task had the best prediction performance. The features related to gait variability and to the amplitude of vertical acceleration had the largest predictive power. SSC prediction accuracy was better than the accuracies obtained with linear discriminant analysis and support vector machine classifiers.ConclusionsThe study corroborated that the changes in gait patterns can be used to discriminate between young and healthy older adults and more importantly between healthy and cognitively impaired adults. A subset of gait tasks and STGF optimal for achieving this goal with SSC were identified, with the latter method superior to other classification techniques. (shrink)

This work presents a novel approach to forecast streaming big time series based on nearest similar patterns. This approach combines a clustering algorithm with a classifier and the nearest neighbours algorithm. It presents two separate stages: offline and online. The offline phase is for training and finding the best models for clustering, classification and the nearest neighbours algorithm. The online phase is to predict big time series in real time. In the offline phase, data are divided into clusters and a (...) forecasting model based on the nearest neighbours is trained for each cluster. In addition, a classifier is trained using the cluster assignments previously generated by the clustering algorithm. In the online phase, the classifier predicts the cluster label of an instance, and the proper nearest neighbours model according to the predicted cluster label is applied to obtain the final prediction using the similar patterns. The algorithm is able to be updated incrementally for online learning from data streams. Results are reported using electricity consumption with a granularity of |$10$| minutes for 4-hour-ahead forecasting and compared with well-known online benchmark learners, showing a remarkable improvement in prediction accuracy. (shrink)

Background:The high level of satisfaction of users of a health service is largely due to the fact that they receive excellent care from healthcare professionals. Compassionate care is an essential...

Rationale, aims and objectives Given the increasing prevalence of cataract and demand for cataract extraction surgery, patients must often wait to undergo this procedure. We validated a previously developed priority scoring system in terms of clinical variables, pre-intervention health status, appropriateness of surgery and gain in visual acuity (VA) and health-related quality of life (HRQoL).Methods Explicit prioritization criteria for cataract extraction created by a variation of the Research and Development (RAND) and University of California Los Angeles appropriateness methodology were retrospectively (...) applied to a prospective cohort of 5257 patients on waiting lists to undergo cataract by phacoemulsification at 17 hospitals in Spain. Demographic data, clinical data and data related to surgical technique were collected by trained ophthalmologists. Patients were evaluated by their ophthalmologist before the intervention and 6 weeks afterward. They also completed, by mail, the Visual Function Index (VF-14) before the intervention and 3 months afterward.Results High-priority patients experienced greater improvement in VA and HRQoL than those classified as intermediate or low-priority (P < 0.0001), even after adjusting by VA and the VF-14 score at baseline. The time to intervention was the same for high-priority patients as it was for intermediate and low-priority patients.Conclusions The priority score we developed identified patients most likely to experience the greatest improvements from cataract extraction. Use of this tool could provide a fairer and more rational way to prioritize patients for cataract extraction. (shrink)

As a 2006 Institute of Medicine report highlights, surprisingly little empirical attention has been paid to how prisoners arrive at decisions to participate in modern research. With our study, we aimed to fill this gap by identifying a more comprehensive range of factors as reported by prisoners themselves during semistructured interviews. Our participants described a diverse range of motives, both favoring and opposing their eventual decision to join. Many are well-recognized considerations among nonincarcerated clinical research participants, including a desire for (...) various forms of personal benefit, altruism, and concern about study risks and inconveniences. However, a number of influences seem unique to prisoners. Participants did not report that they were not coerced into enrolling, and they have even been under pressure not to enroll. However, many sought to enroll in order to obtain access to better health care, raising a concern about whether they were unfairly exploited. (shrink)

The US neutrino community gathered at the Workshop on the Intermediate Neutrino Program at Brookhaven National Laboratory February 4-6, 2015 to explore opportunities in neutrino physics over the next five to ten years. Scientists from particle, astroparticle and nuclear physics participated in the workshop. The workshop examined promising opportunities for neutrino physics in the intermediate term, including possible new small to mid-scale experiments, US contributions to large experiments, upgrades to existing experiments, R&D plans and theory. The workshop was organized into (...) two sets of parallel working group sessions, divided by physics topics and technology. Physics working groups covered topics on Sterile Neutrinos, Neutrino Mixing, Neutrino Interactions, Neutrino Properties and Astrophysical Neutrinos. Technology sessions were organized into Theory, Short-Baseline Accelerator Neutrinos, Reactor Neutrinos, Detector R&D and Source, Cyclotron and Meson Decay at Rest sessions.This report summarizes discussion and conclusions from the workshop. (shrink)

Background: Heart rate variability (HRV) has been considered as a measure of heart-brain interaction and autonomic modulation, and it is modified by cognitive and attentional tasks. In cognitive tasks, HRV was reduced in participants who achieved worse results. This could indicate the possibility of HRV predicting cognitive performance, but this association is still unclear in a high cognitive load sport such as chess Objective: To analyse modifications on HRV and subjective perception of stress, difficulty and complexity in different chess problem (...) tasks. Design: HRV was assessed at baseline. During the chess problems, HRV was also monitored, and immediately after chess problems the subjective stress, difficulty and complexity were also registered. Method: A total of 16 male chess players, age: 35.19 (13.44) and ELO: 1927.69 (167.78) were analysed while six chess problem solving tasks with different level of difficulty were conducted (two low level, two medium level and two high level chess problems). Participants were classified according to their results into two groups: high performance or low performance. Results: Friedman test showed a significant effect of tasks in HRV indexes and perceived difficulty, stress and complexity in both high and low performance groups. A decrease in HRV was observed in both groups when chess problems difficulty increased. In addition, HRV was significantly higher in the high performance group than in the low performance group during chess problems. Conclusions: An increase in autonomic modulation was observed to meet the cognitive demands of the problems, being higher while the difficulty of the tasks increased. Non-linear HRV indexes seem to be more reactive to tasks difficulty, being an interesting and useful tool in chess training. (shrink)

In the 1970s and 1980s, a multitude of cognitive rehabilitation programs proliferated to facilitate recovery after brain injury. However only a few programs provided a framework for ameliorating disturbances in the cognitive, psychological, and interpersonal spheres of the brain-injured patient. Greatly influenced by Leonard Diller and Yehuda Ben-Yishay’s ideas and methods, George P. Prigatano began, in early 1980, a holistic neuropsychological rehabilitation program at the Presbyterian Hospital in Oklahoma City (Oklahoma). The objective of this paper is to summarize the contributions (...) of George P. Prigatano to neuropsychological rehabilitation and clinical neuropsychology during his 50th year of practice. The main body of the paper is structured in three sections. The first section briefly explains the history of neuropsychological rehabilitation in the twentieth century and the emergence of holistic neuropsychological rehabilitation programs in the 1970s. The second section describes the contributions of George P. Prigatano to neuropsychological rehabilitation and clinical neuropsychology (written by AGM). In the third section, the second author (GPP) prepared an autobiographical statement, which attempts to summarize some of the personal and professional experiences which influenced his work. George P. Prigatano’s contributions to neuropsychological rehabilitation and clinical neuropsychology are essential to understanding the therapeutic approaches currently used in the treatment of brain-injured patients. (shrink)

This paper reports on the results of a survey of faculty members at California State University, Northridge in Los Angeles, California regarding their understanding of and familiarity with the concept of fake news. With very few studies published on the attitudes of teaching faculty at universities, this study is a unique approach to the issues facing educators, knowledge creators, and information specialists. The paper examines the origins of the term “fake news”, the factors contributing to its current prevalence, and proposes (...) a new definition. It also reports upon the attitudes that teaching faculty hold, and how they define fake news within their specific disciplines. Though nearly all surveyed faculty felt fake news was an important topic that impacted them professionally, the researchers also find that faculty across all disciplines and ranks, ages, and gender, hold widely differing conceptions of fake news. This lack of consensus may have future implications for students in particular and higher education in general and are worth exploring further. (shrink)

The idea that natural selection acts on many levels—and not only at the level of organisms or individual genes—is increasingly accepted among biologists. However, it is not easy to reconcile this idea with the strictly “individualistic” conception of the evolutionary process that has always characterized Darwinian thought. Moreover, the individuality of some forms of life is a vague concept and therefore controversial. This is the case of Candidatus Magnetoglobus multicellularis, whose discovery immediately inspired the following question: Does the concept of (...) individuality have degrees? Alternatively, how far is this structure of prokaryotic cells from deserving to be called an organism? In this article, we propose a new conceptual scheme based on an idea of individuality that is not limited to organisms and that makes sense in terms of Darwinian evolution. In this conceptual scheme, selection at levels above that of the individual organism is interpreted as the evolutionary emergence of higher-level individuality. This proposal may serve as a basis on which to construct a promising hierarchical evolutionary theory. (shrink)

The idea that natural selection acts on many levels—and not only at the level of organisms or individual genes—is increasingly accepted among biologists. However, it is not easy to reconcile this idea with the strictly “individualistic” conception of the evolutionary process that has always characterized Darwinian thought. Moreover, the individuality of some forms of life is a vague concept and therefore controversial. This is the case of Candidatus Magnetoglobus multicellularis, whose discovery immediately inspired the following question: Does the concept of (...) individuality have degrees? Alternatively, how far is this structure of prokaryotic cells from deserving to be called an organism? In this article, we propose a new conceptual scheme based on an idea of individuality that is not limited to organisms and that makes sense in terms of Darwinian evolution. In this conceptual scheme, selection at levels above that of the individual organism is interpreted as the evolutionary emergence of higher-level individuality. This proposal may serve as a basis on which to construct a promising hierarchical evolutionary theory. (shrink)