Assessment and training in home-baesd telerehabilitation ofr arm mobility impairment

The aging population and limited healthcare capacities call for a change in how rehabilitation care is provided. There is a need to provide more autonomous and scalable care that can be more easily transferred out of the clinic and into home environments. One important barrier to this objective is achieving reliable assessment of motor performance using low-cost technology. Toward this end, an assessment framework and methodology is proposed. The framework uses 4 sequential games to measure aspects of range of motion, range of force, control of motion, and control of force. Parameters derived from the range of motion task are used to define motion requirements in all subsequent assessment games, while parameters derived from the range of force task are used to define subsequent lifting force requirements. A 12-week usability study was conducted in which 9 patients completed the clinical testing phase and 6 therapists and 7 patients completed the questionnaire. Feedback from the questionnaire shows the system is easy to use and integrates well in the clinical setting. The most commonly requested modifications were the inclusion of more games and the incorporation of hand training. Some initial position and force data are shown for one subject and discussion on implications for mobility assessment using the developed device are provided.Peer Reviewe

Adaptive Control of a Wearable Exoskeleton for Upper-Extremity Neurorehabilitation

The paper describes the implementation and testing of two adaptive controllers developed for a wearable, underactuated upper extremity therapy robot – RUPERT (Robotic Upper Extremity Repetitive Trainer). The controllers developed in this study were used to implement two adaptive robotic therapy modes – the adaptive co-operative mode and the adaptive active-assist mode – that are based on two different approaches for providing robotic assistance for task practice. The adaptive active-assist mode completes therapy tasks when a subject is unable to do so voluntarily. This robotic therapy mode is a novel implementation of the idea of an active-assist therapy mode; it utilizes the measure of a subject’s motor ability, along with their real-time movement kinematics to initiate robotic assistance at the appropriate time during a movement trial. The adaptive co-operative mode, on the other hand, is based on the idea of enabling task completion instead of completing the task for the subject. Both these therapy modes were designed to adapt to a stroke subject's motor ability, and thus encourage voluntary participation from the stroke subject. The two controllers were tested on three stroke subjects practicing robot-assisted reaching movements. The results from this testing demonstrate that an underactuated wearable exoskeleton, such as RUPERT, can be used for administering robot-assisted therapy, in a manner that encourages voluntary participation from the subject undergoing therapy

MULTIFUNCTIONAL BIOCOMPATIBLE MAGNETIC NANOPARTICLES AS THERAGNOSTIC AGENTS:APPLICATIONS IN CANCER NANOTECHNOLOGY（和訳：癌診断・治療剤としての多機能・生体整合磁性ナノ粒子の開発：癌ナノテクノロジーへの応用）

東洋大学201

Influence of Processing Parameters in Sicp - Aluminium Alloy Composite Produced by Stir Casting Method

Metal matrix composites are gaining wider acceptance in aerospace and defence industries due to their starving need for lightweight — high strength materials. The control of processing parameters is very important in order to obtain good quality casing with minimal defects. In this study the influence of processing parameters on the properties of SiC particle reinforced aluminium alloy (Al- 10%Si- 0.6%Mg) composite was investigated. The composites are prepared by stir casting method. This method involves mixing of SiC in the molten aluminium alloy aided with mechanical agitation. The processing parameters that were investigated include melt temperature and stirring speed. Specimens produced were subjected to mechanical testing. Microstructure observed through scanning electron microscope and optical microscope was correlated to the observed mechanical behavior. The results show that the melt temperature appears to have little effect on the mechanical properties and particle settling. SEM photographs show that there is particle clustering at low melt temperature

Influence of temperature and substrate composition on anaerobic biogas production in a pilot-scale reactor

 The research investigates how temperature and substrate composition impact anaerobic biogas production in a pilot-scale reactor. Anaerobic digestion is a vital process for converting organic substrates into biogas, mainly composed of methane and carbon dioxide. Temperature plays a crucial role in influencing this process. The experiment was conducted under mesophilic (35°C), thermophilic (55°C), and hyper thermophilic (80°C) conditions, using a pilot-scale reactor with a capacity of 50 liters and an effective volume of 40 liters. Key parameters, including biogas production, carbon and nitrogen content, carbon-to-nitrogen (C:N) ratios, pH levels, and biomass concentrations, were monitored throughout a 60-day operational period. The highest biogas production, reaching 6398 ml/d, occurred under mesophilic conditions. Scanning electron microscopy (SEM) and phylogenetic analysis were performed, revealing the presence of Methanococcus aeolicus species in the treated sludge. Received: 25 June 2024 Accepted: 31 July 2024 Published: 25 August 2024</p

International Conference on NeuroRehabilitation 2012

This volume 3, number 2 gathers a set of articles based on the most outstanding research on accessibility and disability issues that was presented in the International Conference on NeuroRehabilitation 2012 (ICNR).The articles’ research present in this number is centred on the analysis and/or rehabilitation of body impairment most due to brain injury and neurological disorders.JACCES thanks the collaboration of the ICNR members and the research authors and reviewers that have collaborated for making possible that issue

Algal Fuel Cell

Algal Fuel Cells (AFC) are bioelectric devices that use photosynthetic organisms to turn light and biochemical energy into electrical energy. The potential of a fully biotic AFC still remains an unexplored area of research and hence it has led to rethink the prospective use of plant-based bioelectricity. AFC consists of an anode and a cathode connected by an external electric circuit and separated internally by a membrane/no membrane in which the growth of algae is assessed. The key parameters for evaluating the performance of AFC are electrodes, separators, oxygen supplement, nutrients and its configurations. By controlling these parameters, the electric power production can be optimized. This chapter discusses the recent trends examined by a number of researchers and are interpreted to gain a better understanding. It is stressed that a greater focus must be given for a complete comprehension of the algal processes required for the development of AFC applications. Thus, it can be concluded that a further development of AFC technology with reduced costs and improved performance is required for sustainable development

Quantitative Assessment of Motor Deficit with an Intelligent Key Object: A Pilot Study

International audienceConventional assessment of sensorimotor functions is carried out using standard clinical scales which are subjective and insufficiently sensitive to changes in motor performance. Alternatively, sensor based systems offer a quantitative approach to motor assessment. We have designed a set of low cost, easy to use instrumented objects to assess a subject's performance during skilled tasks. In this pilot study we discuss the design of one object, the intelligent key, and describe how it can be used to assess a subject's performance during fine manipulation tasks using the proposed metrics and techniques. Three subjects with motor disability and one healthy subject participated in this study. Subjects performed insertion and rotation tasks that mimic the skills used in day to day key manipulation. A threshold detector algorithm based on Teager Energy Operator was applied to the object acceleration signal to quantify time spent struggling with the task and Spectral Arc Length was used to assess the smoothness of pronation/supination. Overall, the results indicate that increased difficulty in task performance correlates with decreased smoothness in task performance

Integrated AHP-TOPSIS framework for fodder pellet evaluation with fibre-digestibility correlation analysis

Pelleted feeds ensure balanced nutrition, improved digestibility, long-term preservation and enhanced palatability, making them vital for livestock during lean seasons. With the growing demand for optimized feed formulations, evaluating complex nutritional data has become crucial. However, ranking feed combinations using Multi-Criteria Decision-Making (MCDM) methods remains a significant challenge. This study, conducted at Tamil Nadu Agricultural University, Coimbatore, during 2024–2025, assessed 27 fodder pellet combinations using a Multi-Criteria Decision Analysis (MCDA) framework that integrated the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Pellets comprised Bajra Napier hybrid, Guinea grass, Fodder maize and legumes such as Lucerne, Desmanthus and Agathi, combined with crop residues from rice, maize and groundnut. Nutritional parameters, including crude protein, fibre fractions (ADF, NDF, ADL, cellulose and hemicellulose), crude fat, total ash, palatability and in vitro dry matter digestibility, were studied. AHP assigned weights to each parameter, while TOPSIS ranked combinations by closeness to the ideal solution. The Bajra Napier Hybrid + Agathi + Groundnut haulms combination had the highest TOPSIS score (0.8808), indicating superior nutritional performance. This study validates AHP-TOPSIS as a reliable tool for optimizing fodder pellet formulations. Correlation studies showed a negative relationship among various pellet formulations. Guinea grass + Desmanthus + Maize stover exhibited the highest crude fibre content (32 %) with moderate digestibility (66 %), indicating greater fibre accumulation. Conversely, Fodder Maize + Agathi + Groundnut haulms had a lower crude fibre content (28%) but achieved a digestibility of 64%, making it a favourable choice for improved nutrient bioavailability. The findings from this study can guide feed industries and farmers in selecting nutritionally balanced, cost-effective pellet combinations that contribute to local fodder availability and support sustainable livestock nutrition strategies