Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

Background: Diabetes mellitus is spreading throughout the world and diabetic individuals have been shown to often assess their food intake inaccurately; therefore, it is a matter of urgency to develop automated diet assessment tools. The recent availability of mobile phones with enhanced capabilities, together with the advances in computer vision, have permitted the development of image analysis apps for the automated assessment of meals. GoCARB is a mobile phone-based system designed to support individuals with type 1 diabetes during daily carbohydrate estimation. In a typical scenario, the user places a reference card next to the dish and acquires two images using a mobile phone. A series of computer vision modules detect the plate and automatically segment and recognize the different food items, while their 3D shape is reconstructed. Finally, the carbohydrate content is calculated by combining the volume of each food item with the nutritional information provided by the USDA Nutrient Database for Standard Reference. Objective: The main objective of this study is to assess the accuracy of the GoCARB prototype when used by individuals with type 1 diabetes and to compare it to their own performance in carbohydrate counting. In addition, the user experience and usability of the system is evaluated by questionnaires. Methods: The study was conducted at the Bern University Hospital, “Inselspital” (Bern, Switzerland) and involved 19 adult volunteers with type 1 diabetes, each participating once. Each study day, a total of six meals of broad diversity were taken from the hospital’s restaurant and presented to the participants. The food items were weighed on a standard balance and the true amount of carbohydrate was calculated from the USDA nutrient database. Participants were asked to count the carbohydrate content of each meal independently and then by using GoCARB. At the end of each session, a questionnaire was completed to assess the user’s experience with GoCARB. Results: The mean absolute error was 27.89 (SD 38.20) grams of carbohydrate for the estimation of participants, whereas the corresponding value for the GoCARB system was 12.28 (SD 9.56) grams of carbohydrate, which was a significantly better performance ( P=.001). In 75.4% (86/114) of the meals, the GoCARB automatic segmentation was successful and 85.1% (291/342) of individual food items were successfully recognized. Most participants found GoCARB easy to use. Conclusions: This study indicates that the system is able to estimate, on average, the carbohydrate content of meals with higher accuracy than individuals with type 1 diabetes can. The participants thought the app was useful and easy to use. GoCARB seems to be a well-accepted supportive mHealth tool for the assessment of served-on-a-plate meals.

GENETIC ORGANIZATION OF THE STRUCTURAL GENES FOR NITRATE REDUCTASE (TN5)

Nitrate reductase in Escherichia coli is a membrane-bound anaerobic enzyme that is repressed by oxygen and induced by nitrate. The genetic organization of the structural genes for the two larger subunits of nitrate reductase ((alpha) and (beta)) was determined by immunoprecipitation analysis of the formation of these proteins in nitrate reductase-deficient mutants resulting from transposon Tn5 mutagenesis. The results suggested that the genes encoding the (alpha) and (beta) subunits (narG and H) were arranged in an operon with transcription in the direction promoter(--->)(alpha)(--->)(beta). Segments of the chromosome containing the Tn5 inserts from several of the mutants were cloned into plasmid pBR322 and the positions of the transposons determined by restriction mapping. The Tn5 insertion sites were localized on two contiguous EcoRI fragments spanning about 6.6 kilobases of DNA. The narI gene (proposed to encode the (gamma) subunit) was positioned immediately downstream from the (beta)-gene (narH) by Southern analysis of Tn10 insertions into the narI locus. A Tn10 insertion into the narK locus, proposed to encode a nitrate-sensitive repressor of other anaerobic enzymes, was located about 1.5 kilobases upstream from the narGHI operon promoter. The narL locus, proposed to encode a nitrate-sensitive positive regulator of the narGHI operon and known to be genetically linked to the other nar genes, was demonstrated to lie outside a 19.3-kilobase region of the chromosome which encompasses the other nar genes. The physical limit of the narGHI promoter was defined by studying the effect of Tn5 insertions into a hybrid plasmid containing the functional operon. The points of origin of the coding regions for the (alpha) and (beta) genes were deduced by alignment of the chromosomal map of Tn5 insertion sites with the sizes of (alpha) and (beta) subunit fragments produced by plasmids carrying these Tn5 inserts in the nar operon. The coding region for the (alpha) subunit (143,000 daltons) begins about 250 nucleotides downstream from the deduced limit of the promoter region and includes about 4.0 kilobases of DNA; the region encoding (beta) (60,000 daltons) lies immediately downstream from the (alpha)-gene and is approximately 1.6 kilobases in length. The adjacent region encoding the (gamma) subunit (19,000 daltons) is approximately 0.5 kilobase in length. ^

THE ULTRASTRUCTURAL ORGANIZATION OF THE HYPOGLOSSAL NUCLEUS IN THE RAT (SYNAPTOLOGY, CRANIAL NERVES)

An ultrastructural study of the hypoglossal nucleus (XII) in the rat has revealed two distinct neuronal populations. Hypoglossal motoneurons comprised the largest population of neurons in XII and were identified following injection of horseradish peroxidase (HRP) into the tongue. Motoneurons were large (25-50(mu)m), multipolar in shape and distributed throughout XII. The nucleus was large, round and centrally located, and the cytoplasm was characterized by dense lamellar arrays of rough endoplasmic reticulum. In contrast, a second population of small (10-18(mu)m), round to oval shaped neurons was found restricted to the ventral and dorsolateral regions of XII. The nucleus was markedly invaginated and eccentric, the cytoplasm scant and filled with free ribosomes, and the absence of lamellar arrays of rough endoplasmic reticulum was conspicuous. Neurons of this type were never found to contain HRP reaction product. These results demonstrate that the hypoglossal nucleus does not consist solely of motoneurons, but includes a distinctly separate, presumably non-motoneuronal pool. Arguments are presented in favor of this second neuron population being interneurons. The functional significance of these findings in relation to tongue control is discussed. ^

Cognitive Comparative Advantage and the Organization of Work: Lessons from Herbert Simon's Vision of the Future

In a marvelous but somewhat neglected paper, 'The Corporation: Will It Be Managed by Machines?' Herbert Simon articulated from the perspective of 1960 his vision of what we now call the New Economy the machine-aided system of production and management of the late twentieth century. Simon's analysis sprang from what I term the principle of cognitive comparative advantage: one has to understand the quite different cognitive structures of humans and machines (including computers) in order to explain and predict the tasks to which each will be most suited. Perhaps unlike Simon's better-known predictions about progress in artificial intelligence research, the predictions of this 1960 article hold up remarkably well and continue to offer important insights. In what follows I attempt to tell a coherent story about the evolution of machines and the division of labor between humans and machines. Although inspired by Simon's 1960 paper, I weave many other strands into the tapestry, from classical discussions of the division of labor to present-day evolutionary psychology. The basic conclusion is that, with growth in the extent of the market, we should see humans 'crowded into' tasks that call for the kinds of cognition for which humans have been equipped by biological evolution. These human cognitive abilities range from the exercise of judgment in situations of ambiguity and surprise to more mundane abilities in spatio-temporal perception and locomotion. Conversely, we should see machines 'crowded into' tasks with a well-defined structure. This conclusion is not based (merely) on a claim that machines, including computers, are specialized idiots-savants today because of the limits (whether temporary or permanent) of artificial intelligence; rather, it rests on a claim that, for what are broadly 'economic' reasons, it will continue to make economic sense to create machines that are idiots-savants.

The Old Ball Game: Organization of Nineteenth Century Professional Base Ball Clubs

The first professional base ball clubs came in two varieties: stock clubs, which paid their players fixed wages, and player cooperatives, in which players shared the proceeds after expenses. We argue that stock clubs were formed with players of known ability, while co-ops were formed with players of unknown ability. Although residual claimancy served to screen out players of inferior ability in co-ops, the process was imperfect due to the team production problem. Based on this argument, we suggest that co-ops functioned as an early minor league system where untried players could seek to prove themselves and eventually move up to wage teams. Empirical analysis of data on player performance and experience in early professional base ball provides support for the theory.

The Organization of Consumption

No abstract available.

Second, do less harm: The state of states' medical error reporting programs

Statement of the problem and public health significance. Hospitals were designed to be a safe haven and respite from disease and illness. However, a large body of evidence points to preventable errors in hospitals as the eighth leading cause of death among Americans. Twelve percent of Americans, or over 33.8 million people, are hospitalized each year. This population represents a significant portion of at risk citizens exposed to hospital medical errors. Since the number of annual deaths due to hospital medical errors is estimated to exceed 44,000, the magnitude of this tragedy makes it a significant public health problem. ^ Specific aims. The specific aims of this study were threefold. First, this study aimed to analyze the state of the states' mandatory hospital medical error reporting six years after the release of the influential IOM report, "To Err is Human." The second aim was to identify barriers to reporting of medical errors by hospital personnel. The third aim was to identify hospital safety measures implemented to reduce medical errors and enhance patient safety. ^ Methods. A descriptive, longitudinal, retrospective design was used to address the first stated objective. The study data came from the twenty-one states with mandatory hospital reporting programs which report aggregate hospital error data that is accessible to the public by way of states' websites. The data analysis included calculations of expected number of medical errors for each state according to IOM rates. Where possible, a comparison was made between state reported data and the calculated IOM expected number of errors. A literature review was performed to achieve the second study aim, identifying barriers to reporting medical errors. The final aim was accomplished by telephone interviews of principal patient safety/quality officers from five Texas hospitals with more than 700 beds. ^ Results. The state medical error data suggests vast underreporting of hospital medical errors to the states. The telephone interviews suggest that hospitals are working at reducing medical errors and creating safer environments for patients. The literature review suggests the underreporting of medical errors at the state level stems from underreporting of errors at the delivery level. ^

Organization of the inferotemporal cortex in the macaque monkey: Connections of areas PITv and CITvp

Visual cortex of macaque monkeys consists of a large number of cortical areas that span the occipital, parietal, temporal, and frontal lobes and occupy more than half of cortical surface. Although considerable progress has been made in understanding the contributions of many occipital areas to visual perceptual processing, much less is known concerning the specific functional contributions of higher areas in the temporal and frontal lobes. Previous behavioral and electrophysiological investigations have demonstrated that the inferotemporal cortex (IT) is essential to the animal's ability to recognize and remember visual objects. While it is generally recognized that IT consists of a number of anatomically and functionally distinct visual-processing areas, there remains considerable controversy concerning the precise number, size, and location of these areas. Therefore, the precise delineation of the cortical subdivisions of inferotemporal cortex is critical for any significant progress in the understanding of the specific contributions of inferotemporal areas to visual processing. In this study, anterograde and/or retrograde neuroanatomical tracers were injected into two visual areas in the ventral posterior and central portions of IT (areas PITv and CITvp) to elucidate the corticocortical connections of these areas with well known areas of occipital cortex and with less well understood regions of inferotemporal cortex. The locations of injection sites and the delineation of the borders of many occipital areas were aided by the pattern of interhemispheric connections, revealed following callosal transection and subsequent labeling with HRP. The resultant patterns of connections were represented on two-dimensional computational (CARET) and manual cortical maps and the laminar characteristics and density of the projection fields were quantified. The laminar and density features of these corticocortical connections demonstrate thirteen anatomically distinct subdivisions or areas distributed within the superior temporal sulcus and across the inferotemporal gyrus. These results serve to refine previous descriptions of inferotemporal areas, validate recently identified areas, and provide a new description of the hierarchical relationships among occipitotemporal cortical areas in macaques. ^

THE FUNCTIONAL ORGANIZATION OF SYNAPTIC VESICLE POOLS IN A RETINAL BIPOLAR NEURON

Ribbon synapses are found in sensory systems and are characterized by ‘ribbon-like’ organelles that tether synaptic vesicles. The synaptic ribbons co-localize with sites of calcium entry and vesicle fusion, forming ribbon-style active zones. The ability of ribbon synapses to maintain rapid and sustained neurotransmission is critical for vision, hearing and balance. At retinal ribbon synapses, three vesicle pools have been proposed. A rapid pool of vesicles that are docked at the plasma membrane, and whose fusion is limited only by calcium entry, a releasable pool of ATP-primed vesicles whose size also correlates with the number of ribbon-tethered vesicles, and a reserve pool of non-ribbon-tethered cytoplasmic vesicles. However evidence of vesicle fusion at sites away from ribbon-style active zones questions this organization. Another fundamental question underlying the mechanism of vesicle fusion at these synapses is the role of SNARE (Soluble N-ethylmaleimide sensitive factor Attachment Protein Receptor) proteins. Vesicles at conventional neurons undergo SNARE complex-mediated fusion. However a recent study has suggested that ribbon synapses involved in hearing can operate independently of neuronal SNAREs. We used the well-characterized goldfish bipolar neuron to investigate the organization of vesicle pools and the role of SNARE proteins at a retinal ribbon synapse. We blocked functional refilling of the releasable pool and then stimulated bipolar terminals with brief depolarizations that triggered the fusion of the rapid pool of vesicles. We found that the rapid pool draws vesicles from the releasable pool and that both pools undergo release at ribbon-style active zones. To assess the functional role of SNARE proteins at retinal ribbon synapses, we used peptides derived from SNARE proteins that compete with endogenous proteins for SNARE complex formation. The SNARE peptides blocked fusion of reserve vesicles but not vesicles in the rapid and releasable pools, possibly because both rapid and releasable vesicles were associated with preformed SNARE complexes. However, an activity-dependent block in refilling of the releasable pool was seen, suggesting that new SNARE complexes must be formed before vesicles can join a fusion-competent pool. Taken together, our results suggest that SNARE complex-mediated exocytosis of serially-organized vesicle pools at ribbon-style active zones is important in the neurotransmission of vision.

Inactivation and self -association of CaM kinase: Effects of ATP, substrate binding domains, and isozymic forms

Calcium/calmodulin-dependent protein kinase II (CaM kinase) is a multifunctional Ser/Thr protein kinase, that is highly enriched in brain and is involved in regulating many aspects of neuronal function. We observed that forebrain CaM kinase from crude homogenates, cytosolic fractions and purified preparations inactivates and translocates into the particulate fraction following autophosphorylation. Using purified forebrain CaM kinase as well as recombinant $\alpha$ isozyme, we determined that the formation of particulate enzyme was due to enzyme self-association. The conditions of autophosphorylation determine whether enzyme self-association and/or inactivation will occur. Self-association of CaM kinase is sensitive to pH, ATP concentration, and enzyme autophosphorylation. This process is prevented by saturating concentrations of ATP. However, in limiting ATP, pH is the dominant factor, and enzyme self-association occurs at pH values $\rm{<}7.0.$ Site-specific mutants were produced by substituting Ala for Thr286, Thr253, or Thr305,306 to determine whether these sites of autophosphorylation affect enzyme inactivation and self-association. The only mutation that influenced these processes was Ala286, which removed the protective effect afforded by autophosphorylation in saturating ATP. Enzyme inactivation occurs in the presence and absence of self-association and appears predominantly sensitive to nucleotide concentration, because saturating concentrations of $\rm Mg\sp{2+}/ADP$ or $\rm Mg\sp{2+}/ATP$ prevent this process. These data implicate the ATP binding pocket in both inactivation and self-association. We also observed that select peptide substrates and peptide inhibitors modeled after the autoregulatory domain of CaM kinase prevented these processes. The $\alpha$ and $\beta$ isozymes of CaM kinase were characterized independently, and were observed to exhibit differences in both enzyme inactivation and self-association. The $\beta$ isozyme was less sensitive to inactivation, and was never observed to self-associate. Biophysical characterization, and transmission electron microscopy coupled with image analysis indicated both isozymes were multimeric, however, the $\alpha$ and $\beta$ isozymes appeared structurally different. We hypothesize that the $\alpha$ subunit of CaM kinase plays both a structural and enzymatic role, and the $\beta$ subunit plays an enzymatic role. The ramifications for the functional differences observed for inactivation and self-association are discussed based on potential structural differences and autoregulation of the $\alpha$ and $\beta$ isozymes in both calcium-induced physiological and pathological processes. ^

Self-learning of fault diagnosis identification

A good and early fault detection and isolation system along with efficient alarm management and fine sensor validation systems are very important in today¿s complex process plants, specially in terms of safety enhancement and costs reduction. This paper presents a methodology for fault characterization. This is a self-learning approach developed in two phases. An initial, learning phase, where the simulation of process units, without and with different faults, will let the system (in an automated way) to detect the key variables that characterize the faults. This will be used in a second (on line) phase, where these key variables will be monitored in order to diagnose possible faults. Using this scheme the faults will be diagnosed and isolated in an early stage where the fault still has not turned into a failure.

Bio-inspired FPGA Architecture for Self-Calibration of an Image Compression Core based on Wavelet Transforms in Embedded Systems

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

Response threshold models and stochastic learning automata for self-coordination of heterogeneous multi-task distribution in multi-robot systems.

This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-selection of heterogeneous specialized tasks by autonomous robots. In this paper we focus on a specifically distributed or decentralized approach as we are particularly interested in a decentralized solution where the robots themselves autonomously and in an individual manner, are responsible for selecting a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we have established an experimental scenario to solve the corresponding multi-task distribution problem and we propose a solution using two different approaches by applying Response Threshold Models as well as Learning Automata-based probabilistic algorithms. We have evaluated the robustness of the algorithms, perturbing the number of pending loads to simulate the robot’s error in estimating the real number of pending tasks and also the dynamic generation of loads through time. The paper ends with a critical discussion of experimental results.

Training organization of a middle-size company engaged in information technology services: theory and practice

In order to establish an active internal know-how -reserve~ in an information processing and engineering services . company, a training architecture tailored to the company as an whole must be defined. When a company' s earnings come from . advisory services dynamically structured i.n the form of projects, as is the case at hand, difficulties arise that must be taken into account in the architectural design. The first difficulties are of a psychological nature and the design method proposed here begjns wi th the definition of the highest training metasystem, which is aimed at making adjustments for the variety of perceptions of the company's human components, before the architecture can be designed. This approach may be considered as an application of the cybernetic Law of Requisita Variety (Ashby) and of the Principle of Conceptual Integrity (Brooks) . Also included is a description of sorne of the results of the first steps of metasystems at the level of company organization.

Self-Organizing Architectural design based on Morphogenetic Programming.

In this paper, we present our research into self-organizing building algorithms. This idea of self-organization of animal/plants behaviour interests researchers to explore the mechanisms required for this emergent phenomena and try to apply them in other domains. We were able to implement a typical construction algorithm in a 3D simulation environment and reproduce the results of previous research in the area. LSystems, morphogenetic programming and wasp nest building are explained in order to understand self-organizing models. We proposed Grammatical swarm as a good tool to optimize building structures.