Order Of Priority Research Articles

Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive.

A novel diagnosis method based on the rotor slip is proposed in the paper to correctly detect current and speed sensor failures during the induction motor drive (IMD) operation. In order to enhance reliability and avoid confusion in the diagnosis algorithm due to the influence of measured signal quality, each fault type is determined in a priority order defined by the diagnosis method. Based on the features of the IMD applying the field-oriented control (FOC) technique, an innovative model uses the measured currents and reference speed as the input signals to estimate the rotor slip for the current sensor fault detection. After verifying the quality of the feedback of the current signals, a speed sensor fault function is continued, and performs according to relations among the reference speed, estimated speed based on the sliding mode method, and measured rotor speeds. Finally, the estimated quantities are selected to replace the wrong measured current or speed signals. The feasibility of the proposed approach is verified by simulations using Matlab-Simulink software as well as by practical experiments using an IMD prototype with a rated power of 2.2 kW and a DSC-TMS320F28335-based control system. The obtained simulation and experimental results demonstrated the feasibility, effectiveness, and reliability of the proposed diagnosis technique in detecting sensor failures and maintaining the stable operation of the IMD.

An extended interval regret theory method for ranking renewable energy alternatives in Fujian, China

In this paper, an improved hybrid MADM method based on interval Decision Making Trial and Evaluation Laboratory (DEMATEL) and interval regret theory are put forward to evaluate five renewable energy alternatives for Fujian province, China. Firstly, the volatility of the evaluation information and the subjectivity of experts or stakeholders are taken into account. Second, political factors are further considered based on existing research. Third, the influence of the subjective initiative of decision makers on the decision result has been paid attention to. Furthermore, the result of the analysis shows that the extended regret theory method should set different parameters to reflect the preferences of decision makers. The ranking results of renewable energy are different with different parameter settings. For example, when α=0.1,δ=0.1, the priority of clean energy in Fujian Province is hydropower, followed by wind energy, solar energy, geothermal energy, and biomass energy. Sensitivity analysis indicates that the model possesses good serviceability. Based on considering different parameter settings, the Fujian government should invest, in order of priority, in these renewable energy sources to obtain benefits. And the projects related to these renewable energy sources should be evaluated.

GMOM: An Offloading Method of Dependent Tasks Based on Deep Reinforcement Learning

Mobile edge computing (MEC) is considered as an effective solution to delay-sensitive services, and computing offloading, the central technology in MEC, can expand the capacity of resource-constrained mobile terminals (MTs). However, because of the interdependency among applications, and the dynamically changing and complex nature of the MEC environment, offloading decision making turns out to be an NP-hard problem. In the present work, a graph mapping offloading model (GMOM) based on deep reinforcement learning (DRL) is proposed to address the offloading problem of dependent tasks in MEC. Specifically, the MT application is first modeled into a directed acyclic graph (DAG), which is called a DAG task. Then, the DAG task is transformed into a subtask sequence vector according to the predefined order of priorities to facilitate processing. Finally, the sequence vector is input into an encoding-decoding framework based on the attention mechanism to obtain the offloading strategy vector. The GMOM is trained using the advanced proximal policy optimization (PPO) algorithm to minimize the comprehensive cost function including delay and energy consumption. Experiments show that the proposed model has good decision-making performance, with verified effectiveness in convergence, delay, and energy consumption.

Actions aimed at reducing, reusing and recycling waste in the construction of buildings

Being responsible for the generation of more than 50% of urban solid waste poses incessant challenges to the construction industry. Commonly called rubble, civil construction waste (RCC) causes major environmental impacts when an order of priority of actions in forwarding the management of discarded materials is not observed. It is a situation that requires the application of practices that aim to reduce, reuse and recycle (3R's) the waste generated by civil construction at construction sites. This work aims to present good practice guidelines, through an action plan, for the reduction, reuse and recycling of RCC in construction sites. The methodology included a systematic review of scientific articles considering the indications of the PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses). It also included a field research, with seven case studies, with five works located in the city of Recife and two works located in the city of Caruaru, both in the State of Pernambuco, in which we sought to investigate waste management in the works and the actions reduction, reuse and recycling carried out at construction sites. The results showed the identification of reduction actions applied to the management of services, materials and equipment used in the execution of works and good practices of reuse and recycling for the main construction materials, such as: concrete, wood, plastic, plaster and metal. The main contribution of this work was to identify and describe good practice guidelines for better management of civil construction waste in terms of the 3R's.
 
 KEYWORDS: Reduction. reuse. Recycling.

ANALISIS KONDISI PERKERASAN JALAN MENURUT METODE BINA MARGA DAN METODE PCI JALAN RAYA LINTAU – PAYAKUMBUH

On the Lintau - Payakumbuh highway, which connects the two areas, which are busy with light vehicles and heavy vehicles, the road surface is damaged. In this study, the authors conducted a survey on the Lintau - Payakumbuh road, Jorong Kalumpang, Nagari Lubuak Jantan, along KM 37 - KM 39, with a road width of 4.8 m. As time goes by, there is an increase in community needs in the mobility of daily activities with an increase in the volume of vehicles, resulting in damage to the pavement on this road segment. The purpose of this study was to determine the type and level of damage to the pavement that occurred on the Lintau – Payakumbuh road, Jorong Kalumpang, Nagari Lubuak Jantan with the PCI and Bina Marga methods and provide suggestions for maintenance and repair efforts. The types of damage found included crocodile cracks, subsidence, patches, longitudinal cracks, holes. In the PCI method the value obtained is 87.3 with excellent road conditions, in the Bina Marga method the priority order value is 10.6 with a routine maintenance program. From the results of the two methods, the values and results are almost the same, namely the road conditions are still in good condition. Handling road repairs by patching potholes, leveling subsidence, patching cracks on damaged roads. Routine maintenance should be carried out on this road segment in order to provide comfort for its users, such as maintenance on the shoulder of the road, drainage channels, and making rainwater barriers to avoid damage. Keywords : Analysis of road damage, PCI, Bina Marga, Demage rate, Routine maintenance.

Character Education Management Model in High School

Background: The Movement for Strengthening Character Education places character values as the deepest dimension of education that cultivates and civilizes educational actors. Character building involves the community, school culture and learning in the classroom. Purpose: To design a student character management model with Pancasila student profile character education Methods: This research uses qualitative and quantitative methods that are parallel. Its qualitative method is used at the time of measuring the relative between the factors affecting the character of the student and the list of views from the primary data. While quantitative methods are used to carry out hierarchical rankings and calculate the weighting of each criterion. The combination of qualitative and quantitative methods is used when validating research results by comparing the results of AHP analysis and interview results with stakeholders at the research site Results: The highest priority weighting factor was the learning factor in the classroom (0.5) and the lowest community engagement factor (0.22). This shows that learning conditions in the SMA Negeri 20 Jakarta class are the dominant factor for the formation of student character. Meanwhile, community involvement is the lowest weight factor but must still be met by schools in shaping the character of students. In the next stage, a Sensitivity Analysis is carried out to test how much influence the changes in each factor are in the extreme (very large or very small changes) Conclusion: Based on the results of the AHP analysis, it was found that SMA Negeri 20 Jakarta needs to manage the formation of student character in order of priority, namely learning in the classroom, school culture and community involvement. Keywords: Character Education, Classroom Learning, School Culture, Community

Prospects of Agribusiness as Supporting Food Security in the Semarang City

This study aims to elaborate on the potential of urban agricultural agribusiness in Semarang City and identify development sectors that can receive/provide co-benefits from urban agricultural development. The research method used is mixed, with primary and secondary data obtained and analyzed using quantitative and qualitative descriptive methods. The results of the study indicate that there is potential for agribusiness in Semarang City to support national food security. Agribusiness development can be carried out in accordance with the national agricultural development master plan, in order of priority, in accordance with the mapping of potential in the city of Semarang, and guided by the medium-term and long-term development plans of the city of Semarang.

The Readiness of Primary and Preschool Pre-Service Teachers' for Teaching Profession in Turkey: A Mixed Methods Research

This study aims to examine the readiness of pre-service teachers for teaching in terms of different dimensions. Among the mixed research designs, combined design in which the priority order of qualitative and quantitative methods is equal was preferred for the study. The participants were 127 pre-service teachers in the Faculty of Education. The research data set was obtained from the Preparedness to Teach Scale. In order to determine to what extent pre-service teachers, feel ready for teaching, two focus group sessions and the pre-service teachers were observed. In the study, it was determined that the pre-service teachers' level of readiness for teaching is at a medium level and the pre-service teachers used technology to attract attention and increase participation. It was observed that the pre-service teachers had problems in choosing appropriate teaching strategies, noticing special learning needs or difficulties, and classroom management.

Challenges and issues of green banking in Islamic and traditional banks of Pakistan

This study investigates the current challenges and issues in adopting green banking activities in Pakistan’s banking sector, especially in Islamic banks, due to their close link with green and ethical banking. A total of 26 interviews have been conducted (19 green banking officers and seven heads of the Shariah department) via a semi-structured questionnaire. The study reveals eight factors in priority order, causing hindrance in implementing green banking in Pakistan. These are lack of awareness, knowledge and skills, the culture of adoption to change, lack of pressure, lack of incentives, lack of legal power, culture, and infrastructure. Among the four green banking areas, interviewees have identified environmental risk management as the most challenging area. Most banks have demanded revision in green banking guidelines with legal power and incentives. The study is the first literature that identifies the problems in priority orders with reasons and after-effects. This study supports Jeucken’s and Chapra’s green and Islamic banking models, respectively. The study will help formulate the policy for revising green banking guidelines and environmental laws in Pakistan. The study will further help in achieving Maqasid-e-Shariah in Islamic banks.

Baptists and the Writing of Literature in the Nineteenth Century

ABSTRACT The attitude of Baptists towards writing creative literature in the nineteenth century was a matter of priority rather than widespread prejudice. This article suggests that on a highest level of priority, though ranked below the writing of theology, sermons and the defence of Christianity, seems to have been the production of essays, as closest in style and content to theology. Then came the writing of verse, sometimes rising to the level of poetry, and thereafter numerous examples of biography and juvenile fiction, with some autobiography. Less frequent are short stories and historical novels, and finally there are rare instances of the adult novel. This article offers examples of all these genres, and suggests that the order of priorities stems from the high value that Baptists placed on truthful witness to inner spiritual pilgrimage. As wider background, the article considers the part played by Baptist booksellers and editors in fostering the writing of literature.

Sustainable Restoration of Ancient Architectural Patterns in Fujian Using Improved Algorithms Based on Criminisi

Based on current manual restoration methods, a better algorithm for restoring images based on sample blocks is proposed, along with a sustainable restoration technique for digital virtualization, with the aim of preserving and restoring the priceless art of ancient architectural motifs. The paper uses curve fitting to pre-process the restored photos by re-constructing their damaged borders and filling in the structural information that is absent with the aid of an enhancement of the Criminisi method. The repaired photos have improved edges that were previously blurry, fractured, and over-extended. In order to increase the dependability of the priority calculation when restoring photos and make it possible to acquire a more precise restoration order, we rewrote the priority calculation formula for restoration blocks in the Criminisi algorithm. The purpose was to enhance the aesthetics of the photographs and provide a viable and sustainable restoration technique for the restoration of ancient architectural motifs in Fujian. The Criminisi algorithm with deep learning is used in the thesis to fully restore the content, color, and texture of the architectural photographs, bringing the murals as close to their original state as is practical. In order to improve the blurry, broken, and over-extended edges of the restored images, the broken edges of the images are first repaired through image pre-processing. Then, adjustment factors are added to the priority calculation to increase the weight of the data items, resulting in a more accurate priority order while preventing the priority values from degrading quickly in the later stages of restoration. The PSNR values of the restored images were calculated and compared to those of the Criminisi method, demonstrating that the revised algorithm produces better restoration results and can effectively improve restoration efficiency while lowering restoration costs and ensuring pattern restoration sustainability. By retaining as much of the structural information of the original image as possible in the design of the network model and allocating larger weights to the structural part, this process also uses style migration in deep learning to restore the texture and color of the mural. As a result, the final image is as similar to the original image as possible in terms of content and as similar as possible to the style image in terms of color and texture. A better solution is proposed based on the Criminisi algorithm. By comparing the experimental results of the three sets of building images, the PSNR values of the priority improvement algorithm (30.26, 38.06, 39.56) were significantly better than those of the Criminisi algorithm (27.59, 37.06, 37.59), using the peak signal-to-noise ratio (PSNR) values as a reference standard. In order to determine the appropriate restoration sequence and enhance the quality of picture repair, the broken edges of the pattern are strengthened. The algorithm’s matching criteria can be applied in subsequent work to improve sample-matching accuracy and produce better sustainable restoration results for ancient architectural patterns in Fujian. It no longer requires specialized professional knowledge to reproduce the color of faded architectural photos; instead, a style migration approach is employed to recover the color and texture of architectural images. This study proposes the use of a texture synthesis method and a layered processing method through which the PSNR values of the resulting restored images calculated are superior and significantly higher than those of the sample-based method and the variational framework of synthetic images with regular texture components. We achieved the creation of an updated Criminisi algorithm-based solution that improves the quality of image restoration by fortifying the pattern’s frayed edges and determining the optimum repair order. These two techniques can be combined to improve the sustainability of restoration of faded architectural photographs for issues such as pattern breakage, color loss and fading. To achieve better restoration results for the historic architectural patterns in Fujian, the accuracy of sample matching can be increased, starting with the algorithm’s matching criterion.

Assessing commuters’ perceptions towards improvement of intermediate public transport as access modes to metro stations

The study considers the perception of Metro commuters to investigate the priority areas of interventions for improving the service quality of Intermediate Public Transport (IPT) as an access mode to the Metro stations in Delhi. Tablet-based face-to-face surveys were conducted to collect responses from 1121 commuters towards perceived importance and satisfaction ratings of 18 service quality attributes under study on a 6-point Likert scale. Collected responses were analysed using Revised Importance Performance Analysis. Implicit importance values of all the attributes were calculated to derive the factor structures and management schemes using the Fuzzy C-means clustering technique. The priority attributes were identified by comparing the factor structures and management schemes. Finally, the study proposed a priority order of resource allocation to improve attributes influencing IPT as access modes to the Metro stations. The study findings identified that ‘Transportation Subsidy’, ‘Accessibility in Bad Weather’ and ‘Universal Design Considerations’ were top priority attributes that demanded resource allocation for improvement. ‘Access Time’, ‘In-vehicle Travel Time’, ‘Luggage Space’, ‘Hygiene’, ‘Security’, ‘Riding Comfort’, ‘Frequency’ and ‘Travel Fare’ were operating at optimum service levels, hence, occupied a second-level priority in terms of resource allocation to ensure the levels were maintained. Two low-priority attributes, ‘Information at IPT stop’ and ‘On-board Information’ occupied a third-level priority in terms of resource allocation for improvement. Attributes under ‘Possible Overkill’, namely, ‘Safety’, ‘Convenience’, ‘Waiting Time’, ‘Egress Time’ and ‘Seat Availability’, suggested transferring resources towards improving other priority service attributes. The study findings can assist transport planners and policymakers in formulating policies for improving the performance of IPT as access modes to Metro stations in Delhi and extending the approach to other contexts to supplement the mass transit systems suitably and increase their ridership.

MicroRNA biomarkers of type 2 diabetes: evidence synthesis from meta-analyses and pathway modelling

Aims/hypothesisMicroRNAs are being sought as biomarkers for the early identification of type 2 diabetes. This study aimed to synthesise the evidence from microRNA–type 2 diabetes association studies and microRNA-regulated type 2 diabetes pathway delineation studies that met stringent quality criteria to identify and validate microRNAs of both statistical and biological significance as type 2 diabetes biomarkers.MethodsEligible controlled studies on microRNA expression profiling of type 2 diabetes were retrieved from PubMed, ScienceDirect and Web of Science. MicroRNA-regulated type 2 diabetes pathway delineation studies were conducted by integrating and cross-verifying the data from miRTarBase, TransmiR, miRecords, TargetScanHuman, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Retraction Watch database. Before meta-analysis, quality assessment was performed according to the corresponding reporting guidelines for evidence-based medicine. To select the most statistically significant microRNAs, we conducted extensive meta-analyses according to the latest methodology. Subgroup and sensitivity analyses were carried out to further examine the microRNA candidates for their tissue specificity and blood fraction specificity and the robustness of the evidence. Signalling pathway impact analysis of dysregulated microRNAs identified from meta-analyses was performed to select biologically significant microRNAs that were enriched in our newly built microRNA-regulated pathways.ResultsOf the 404 differentially expressed microRNAs identified in the 156 controlled profiling studies with a combined sample size of >15,000, only 60 were both consistently and significantly dysregulated in human type 2 diabetes. No microRNAs were both consistently and significantly dysregulated in multiple tissues according to subgroup analyses. In total, 58 microRNAs were found to be robust in sensitivity analyses. A total of 1966 pathway delineation studies were identified, including 3290 microRNA–target interactions, which were further combined with KEGG pathways, producing 225 microRNA-regulated pathways. Impact analysis found that 16 dysregulated microRNAs identified from extensive meta-analyses were statistically significantly enriched in the augmented KEGG type 2 diabetes pathway.Conclusions/interpretationSixteen microRNAs met the criteria for biomarker selection. In terms of both significance and relevance, the order of priority for verification of these microRNAs is as follows: miR-29a-3p, miR-221-3p, miR-126-3p, miR-26a-5p, miR-503-5p, miR-100-5p, miR-101-3p, mIR-103a-3p, miR-122-5p, miR-199a-3p, miR-30b-5p, miR-130a-3p, miR-143-3p, miR-145-5p, miR-19a-3p and miR-311-3p.RegistrationPROSPERO registration number CRD42017081659.Graphical abstract

Numerical simulation and experiment on wrapping characteristics between sugarcane leaves and rotating roller of returning machine

In order to solve the problem of wrapping between sugarcane leaves and rotating roller of returning the machine, the length of rotating rollers (A), the number of bulges (B), and the leaf quantity (C) were taken as influence factors in this paper. A finite element model was built to simulate the process of the leaf wrapping around the rotating roller. Through the simulation analysis of the deviation value and the wrapping time, the results showed that: (1) these factors all had an influence on the wrapping degree by comparing the average deviation value; (2) there were four stages in the wrapping process; (3) the longer the roller length, the more the number of bulges, and the less the leaf quantity, causing the less the wrapping time. In addition, a test system was designed and constructed, and the model was validated using single-factor tests compared with simulation results. The results of the experiment using the orthogonal test method, range method, variance method, and comprehensive balance method showed that: (1) the priority order of these factors was B > C > A; (2) the effects of these factors were all significant; (3) the best wrapping combination was A1B2C4; and the best anti-wrapping combination was A4B4C1. This paper not only provides a reliable finite element model of the leaf wrapping around the rotating roller, but also provide a foundation for the optimization and improvement of the rotating roller’s anti-wrapping characteristics.

Multi-Arm Global Cooperative Coal Gangue Sorting Method Based on Improved Hungarian Algorithm.

The existing multi-manipulator sorting method for gangue that utilizes a multi-task allocation strategy is not satisfactory. The single manipulator working space is fixed, lowering the cooperation degree between the manipulators and leading to a low sorting rate. Therefore, this paper proposes a multi-manipulator cooperative sorting method that can work globally. First, a benefit function based on the sorting time and quality of the gangue is constructed by combining the gangue flow information and the manipulator state. The time parameter is obtained via the manipulator’s dynamic target tracking trajectory planning algorithm based on PID control. Secondly, the benefits matrix is standardized and updated many times to improve the Hungarian algorithm to achieve task allocation, and the initial solution with priority is obtained. Finally, the solutions are analyzed and processed cooperatively in order of priority. The conflicts between multiple robotic arms are eliminated through task cooperation and trajectory cooperation until the sorting task that the robot arm can execute is obtained from the allocation results. Experiments involving different sorting methods were completed on a multi-arm coal and gangue sorting experimental robot platform. The experimental results show that the sorting efficiency of the proposed method is about 10% and 20% higher than that of the fixed space dynamic and designated space fixed points methods, respectively, under different belt speeds. This method can guarantee system benefits, effectively implements cooperative control of multi-manipulator operations in the whole area, and improves the efficiency of coal gangue sorting.

Ranking criteria of university lecturers’ happiness index in Ho Chi Minh City, Vietnam

Happiness is the final goal targeted by every nation, community, and individual. It is the new pattern of economic development. However, happiness is a fuzzy concept, and much contextually depends. This study was conducted to rank the criteria of lecturers’ happiness index in Ho Chi Minh City, Vietnam. Based on the data from the in-depth interviews with 20 experts, Analytic Hierarchy Process (AHP) was applied. The research results show that the lecturer’s happiness measurement model consists of three levels. Level 2 includes five criteria with the priority orders as follows: 1) physical and spiritual health (50.9%), 2) employment and income (25.5%), 3) self-actualization (13.9%), 4) social networks (6.2%) and 5) family happiness (3.5%). Further ranking findings at level 3 confirm the highest share of non-material components in each factor. These findings are important for planning the key strategy to promote lecturers’ happiness to reach the goal of “happy school” in Vietnam.

Sustainability factors influencing para rubber resources for the implementation of circular economy in Songkhla province, southern Thailand

ABSTRACT Circular economy (CE) has grown in popularity among policymakers as a novel approach to sustainable development, and a trending tool driving sustainable development in many countries around the world. Fundamentally, interactions between socioeconomic, socioecological, and technological factors determine sustainable development. Para rubber is a vital feedstock for bio-based industries. However, utilizing para rubber resources inefficiently can be a barrier to the desirable shift towards a CE system and sustainable development. In this present study, the sustainability factors enhancing the implementation of the CE potential of Para rubber resources in Songkhla province, southern Thailand, was evaluated. The classical Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) were complementarily used to evaluate the main factors and sub-criteria for para rubber CE potential. The findings revealed the factors that will facilitate the implementation of para rubber CE and enhance sustainable development in the following order of priority: resource (0.420)> development (0.177)> environment (0.162)> economy (0.127)> population (0.114). Consequently, the para rubber resource has been identified as a bioeconomic gem in Thailand, with the potential to facilitate CE and enhance sustainable development in the study area. This study is useful to all stakeholders, including policymakers, in promoting para rubber resource efficiency, sustainable consumption and production trends at the national, provincial, and district levels, as well as improve the social, economic, ecological, and cultural resilience of rural areas. To drive Thailand’s CE transition, a comprehensive scientific assessment of Songkhla megatrends and prospects is recommended.

Journey towards World Class Stations: An Assessment of Platform Amenities at Allahabad Junction

Passengers spend considerable time on railway platforms using amenities thereon; thus, making their stay pleasurable would result in passenger satisfaction for a rail journey. The Ministry of Railways in India has initiated plans for developing stations of world-class standards by delivering state-of-the-art facilities and quality services at platforms. This paper is an attempt to assess levels of importance and satisfaction perceived by passengers with respect to amenities on platforms of Allahabad Junction in the State of Uttar Pradesh, India. A total of 32 platform amenities examined through a sample of 1,248 passengers were grouped under 7 factors using Exploratory Factor Analysis. A service quality performance matrix was prepared thereafter to identify amenities needing improvement, and a Customer Satisfaction Index was calculated to determine a priority order for improvement of these amenities. Security and cleanliness were revealed to be the aspects that need improvement. Findings of this study are expected to be useful for policymakers working on the concept of world-class stations.

Setting the top 10 eating disorder research and translation priorities for Australia.

People with eating disorders, as well as their caregivers, experience high symptom burden, reduced quality of life and increased risk of early mortality. A lack of resources, disjointed vision and limited uptake of the evidence have limited the translation and implementation of research into practice. Little is known about what stakeholders (people with a lived experience, caregivers, health care professionals, researchers and policymakers) see as the most important research priorities. This study aimed to identify Australia's top 10 consensus-derived research and translation priorities for eating disorders. Participants (n = 606) included people with a lived experience, carers, health care professionals (clinicians) and researchers working in eating disorders. The methodology aligned with the James Lind Alliance priority setting process, which involved oversight by a co-design advisory committee and utilised a national online interim priority setting survey and co-design workshops to identify the top 10 research and translation priorities. The initial national consultations elicited 1210 issues from 480 individuals. From this, 606 participants shortlisted 59 plain language questions in order of personal priority. In total, 16 questions were consistently ranked as important. As a final step, 24 individuals (with equal representation from all 4 stakeholder groups) attended the final prioritisation workshop to co-establish the top 10 research and translation priorities. The findings highlight the need for people with a lived experience, carers, health professionals and researchers to work collaboratively to develop co-designed research and translation activities that address the key areas of early intervention, prevention, understanding the aetiology of eating disorders and effective treatment of people experiencing eating disorders.

P.115 Functional follow-up of patients with spinal muscular atrophy treated post-symptomatically with spinraza: Clinical trial versus real life

In daily practice as in clinical trials, patients with spinal muscular atrophy (SMA) treated by a disease-modifying therapy (DMT) are classified as responders (R) or non-responders (NR) according to the fact that they reach or do not reach a specific level of improvement on validated functional scales. In several countries, being considered as a "NR" may limit further access to the DMT. From our clinical experience we hypothesised that small functional improvements or even stabilization not captured by current outcomes may appear inexistant or non-significant, although they can have a significant impact on a patient's daily life. The aim of this multicentre international study is to compare the treatment benefit after 12 months of a stable dose of Spinraza as perceived by post-symptomatically treated patients and as measured by current functional scales, as well as to individualise aspects of patients' perception that are not measured. We included patients with SMA type I, II and III and established an order of priority for the functional scales according to each SMA type and age at treatment initiation based on the literature (i.e., patients with SMA II from 24 months: 1) HFMSE 2) MFM 3) RULM). Patients were divided into two groups (R and NR) whether they did show clinically meaningful improvements (i.e., > 4 points on the CHOP Intend, > 3 points on MFM32 and HFMSE) 15 months after treatment initiation, or not. Finally, we designed and conducted for both groups a scoring system based on the Clinical Global Impression-Improvement scale, which uses 7 ratings scored from very much improved to very much worse on 22 questions targeting important aspects and tasks in daily life of patients with SMA (i.e., balance, fatigability, swallowing, ventilatory support) and which allows the patient to estimate whether a change is perceived after a year of stable Spinraza treatment. This quantification of patients' impressions on R and NR will be presented.