60 research outputs found

    Agricultural Co-Operatives and Training of Male and Female Farmers on Improved Rice (Oryza sativa) Production Techniques in Ini Local Government Area, Akwa Ibom State, Nigeria

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    This study assessed the extent to which agricultural cooperatives carryout the training of male and female farmers on improved rice (Oryza sativa) production techniques in Ini Local Government Area of Akwa Ibom state, Nigeria using research questions for 2,500 (male and female) rice farmer cooperative members in the study Area. Data analysis for 1600 completed questionnaire collected revealed that male and female farmers were not efficiently trained by agricultural cooperatives on improved rice production techniques. Moreso, there were no significant difference on the extent of carrying out the training of male and female farmers by agricultural cooperatives on improved rice production techniques in Ini Local Government Area. It is recommended among others that Agricultural cooperatives should organize periodic training sessions for rice farmers through the use of facilities and demonstration in the farm. The Government, through The Ministry of Agriculture should encourage and support agricultural cooperatives by providing materials and adequate funding to enable them perform their primary assignment creditably

    A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty

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    Efficient human motor control is characterized by an extensive use of joint impedance modulation, which is achieved by co-contracting antagonistic muscles in a way that is beneficial to the specific task. While there is much experimental evidence available that the nervous system employs such strategies, no generally-valid computational model of impedance control derived from first principles has been proposed so far. Here we develop a new impedance control model for antagonistic limb systems which is based on a minimization of uncertainties in the internal model predictions. In contrast to previously proposed models, our framework predicts a wide range of impedance control patterns, during stationary and adaptive tasks. This indicates that many well-known impedance control phenomena naturally emerge from the first principles of a stochastic optimization process that minimizes for internal model prediction uncertainties, along with energy and accuracy demands. The insights from this computational model could be used to interpret existing experimental impedance control data from the viewpoint of optimality or could even govern the design of future experiments based on principles of internal model uncertainty

    Fatigue-induced changes of impedance and performance in target tracking

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    Kinematic variability is caused, in part, by force fluctuations. It has been shown empirically and numerically that the effects of force fluctuations on kinematics can be suppressed by increasing joint impedance. Given that force variability increases with muscular fatigue, we hypothesized that joint impedance would increase with fatigue to retain a prescribed accuracy level. To test this hypothesis, subjects tracked a target by elbow flexion and extension both with fatigued and unfatigued elbow flexor and extensor muscles. Joint impedance was estimated from controlled perturbations to the elbow. Contrary to the hypothesis, elbow impedance decreased, whereas performance, expressed as the time-on-target, was unaffected by fatigue. Further analysis of the data revealed that subjects changed their control strategy with increasing fatigue. Although their overall kinematic variability increased, task performance was retained by staying closer to the center of the target when fatigued. In conclusion, the present study reveals a limitation of impedance modulation in the control of movement variability

    Patterns of utilization of different carbon sources by Chytridiomycota

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    A phylogenetically diverse set of seventeen isolates of Chytridiomycota were selected for a study of the utilization of common carbohydrates as sole carbon sources in synthetic media. Rhizophlyctis rosea AUS 13 is capable of the digestion of crystalline cellulose in the form of lens paper, filter paper and powdered filter paper and grows well with noncrystaline carboxymethyl cellulose or cellobiose, but cannot use starch or maltose as sole carbon sources in liquid and on solid media. None of the other sixteen isolates tested can digest crystalline cellulose, but all grow well on starch and maltose and several can also use cellobiose and/or sucrose as a sole carbon source. Four of the other sixteen isolates could also digest carboxymethyl cellulose slowly. Glucose is an excellent sole source of carbon in synthetic media for all seventeen isolates in the present study. In general, these data suggest variability in the ability of zoosporic true fungi to use carbohydrates other than glucose as sole sources of carbon. Four patterns of carbohydrate utilization emerged from this study of seventeen isolates. R. rosea degrades cellulose over a relatively wide pH range which suggests that the cellulase enzymes are stable over a wide pH range.Facultad de Ciencias Naturales y MuseoInstituto de Botánica "Dr. Carlos Spegazzini"Laboratorio de Investigación de Sistemas Ecológicos y Ambientale

    Muscle co-contraction patterns in robot-mediated force field learningto guide specific muscle group training

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    BACKGROUND: Muscle co-contraction is a strategy of increasing movement accuracy and stability employed in dealing with perturbation of movement. It is often seen in neuropathological populations. The direction of movement influences the pattern of co-contraction, but not all movements are easily achievable for populations with motor deficits. Manipulating the direction of the force instead, may be a promising rehabilitation protocol to train movement with use of a co-contraction reduction strategy. Force field learning paradigms provide a well described procedure to evoke and test muscle co-contraction. OBJECTIVE: The aim of this study was to test the muscle co-contraction pattern in a wide range of arm muscles in different force-field directions utilising a robot-assisted force field learning paradigm of motor adaptation. METHOD: 42 participants volunteered to participate in a study utilising robot-assisted motor adaptation paradigm with clockwise or counter-clockwise force field. Kinematics and surface electromyography (EMG) of eight arm muscles has been measured. RESULTS: Both muscle activation and co-contraction was earlier and stronger in flexors in clockwise condition and in extensors in the counter-clockwise condition. CONCLUSIONS: Manipulating the force field direction leads to changes in the pattern of muscle co-contraction

    Distinct Haptic Cues Do Not Reduce Interference when Learning to Reach in Multiple Force Fields

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    Background: Previous studies of learning to adapt reaching movements in the presence of novel forces show that learning multiple force fields is prone to interference. Recently it has been suggested that force field learning may reflect learning to manipulate a novel object. Within this theoretical framework, interference in force field learning may be the result of static tactile or haptic cues associated with grasp, which fail to indicate changing dynamic conditions. The idea that different haptic cues (e.g. those associated with different grasped objects) signal motor requirements and promote the learning and retention of multiple motor skills has previously been unexplored in the context of force field learning. Methodology/Principle Findings: The present study tested the possibility that interference can be reduced when two different force fields are associated with differently shaped objects grasped in the hand. Human subjects were instructed to guide a cursor to targets while grasping a robotic manipulandum, which applied two opposing velocity-dependent curl fields to the hand. For one group of subjects the manipulandum was fitted with two different handles, one for each force field. No attenuation in interference was observed in these subjects relative to controls who used the same handle for both force fields. Conclusions/Significance: These results suggest that in the context of the present learning paradigm, haptic cues on their own are not sufficient to reduce interference and promote learning multiple force fields

    Motor Control and Learning Theories

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    Patients who have suffered impairment of their neuromotor abilities due to a disease or accident have to relearn to control their bodies. For example, after stroke the ability to coordinate the movements of the upper limb in order to reach and grasp an object could be severely damaged. Or in the case of amputees, the functional ability is completely lost
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