Rapid Assessment Method Research Articles

PERANCANGAN PRODUK KERETA PERKAKAS DORONG MENGGUNAKAN METODE RAPID ENTIRE BODY ASSESMENT

The aim of this research is to produce product specifications for CTR Pillar LH type tool trolley that suit the user's body size. The research methodology uses the Rapid Entire Body Assessment (REBA) method. Data were collected using anthropometric data on body posture of 10 workers who used CTR Pillar LH type tool trolley. Visualization of product specifications developed in the form of concept sketches in two and three dimensions using solidworks software. Based on the research results, it was concluded that redesigning tool trolley using the REBA method produced specifications that were in accordance with the anthropometric measurements of the user's body, especially the upper body, which consists of shoulder width and upright shoulder height. Improvements to the CTR Pillar LH type tool trolley using the user's anthropometric measurements resulted in changes to the height of the tool trolley from 1300 mm to 1335 mm, the length of the tool trolley from 1200 mm to 860 mm, and the width of the tool trolley from 800 mm to 530 mm.

INVESTIGATE THE FUNCTIONING OF THE POWER-LOOM INDUSTRY THROUGH RULA AND REBA

Employees in India frequently complain about musculoskeletal issues. Currently, manual labor is a common component of power loom industries, making the problems of job-related musculoskeletal ailments and injuries at various body sites of important importance. To measure job processes, workload assessment, and work stress in the current study, video was taken. The Rapid Upper Limb Assessment (RULA) method was utilized to quantify the risk variables connected to upper extremity problems. While the physical issues were measured with the Rapid Entire Body Assessment (REBA). This ergonomic study sheds light on the analysis of worker posture in the power loom sector. The study's participants were the 15 power-loom industry employees at MIDC Solapur (Maharashtra, India).Then, using a video clip that showed the workers' various tasks, images were taken for analysis. It was concluded as a result that the power loom industry is not ergonomicsaware or aware. According to RULA and REBA's examination of the problem utilising postural analysis, the staff is working more than is safe. The vast majority of workers are stooped over. Since there is a moderate to high risk of musculoskeletal issues among the workforce, many interventions are employed to avoid WMSDs or their symptoms, such as training, ergonomic adjustments, rest relief, and exercises.

Analysis of Work Positions in Microbiological Sample Testing in Food Industry Laboratories using the Rapid Whole Body Assessment (REBA) Method and Nordic Body Maps (NBM)

In a food industry laboratory, some activities are at risk of causing MSDs (Muscullos Skeletal Disorder). Based on the results of general interviews addressed to 10 microbiology laboratory assistants, the results obtained by workers experiencing complaints of pain in the upper neck, lower neck, shoulders, back, right upper arm, waist, buttocks, elbows, wrists, and calves. Based on the number of complaints due to work disturbances, it is necessary to identify a more in-depth assessment of work factors and risk levels using theRapid Entire Body Assessment (REBA) method. The results of this study based on the Nordic Body Maps questionnaire aimed at 10 microbiology laboratory assistants in the food industry laboratory, the highest value is complaints of pain in the waist, this isrelated to work position no. 7, namely the position of placing the Erlenmeyer that has been tested into a basket located on the floor. Then the assessment of work positions in group A = 7 and group B = 2 so that the results of the group C table assessment= 9 + 1 (load value) = 10 (including the risk level category 3 / high), so further investigation is needed.

E-Airs: Interactive Ergonomic Monitoring System for Work Posture

Work posture and/or position of work is a crucial problem in work system. Unnatural posture will lead to discomfort when doing the task such as pain at part of body such that it will cause accident in the end. This accident will affect level of work performance of the worker so as the work productivity fails achieve a target determined. The failure mode, of course, results in a big loss for a company. This state should be avoided by use of the natural posture by worker in completing a job. However, many workers do not still understand what kind of a natural and unnatural work posture directly. So, this condition has high risk for being occurred the discomfort. Thus, it is important to develop a tool for helping them to identify a certain posture of work. Objective of this study is to design a monitoring system devices to capture and to determine an natural posture of the worker based on ergonomic principles. Rapid Upper Limb Assessment method is applied to determine a risk of work posture. Machine Learning concept is implemented to support in designing a system by also applying python programming language. Result of this study shows that monitoring system devices developed is usable in informing an unnatural posture of worker in completing a job. Thus, this result will beneficial for worker to improve work posture to be natural position so as discomfort can be prevented.

A Big Data and FRAM-Based Model for Epidemic Risk Analysis of Infectious Diseases.

The use of multi-source precursor data to predict the epidemic risk level would aid in the early and timely identification of the epidemic risk of infectious diseases. To achieve this, a new comprehensive big data fusion assessment method must be developed. With the help of the Functional Resonance Analysis Method (FRAM) model, this paper proposes a risk portrait for the whole process of a pandemic spreading. Using medical, human behaviour, internet and geo-meteorological data, a hierarchical multi-source dataset was developed with three function module tags, ie, Basic Risk Factors (BRF), the Spread of Epidemic Threats (SET) and Risk Influencing Factors (RIF). Using the dynamic functional network diagram of the risk assessment functional module, the FRAM portrait was applied to pandemic case analysis in Wuhan in 2020. This new-format FRAM portrait model offers a potential early and rapid risk assessment method that could be applied in future acute public health events.

Coverage of Child Disability Detection, Management, and Rehabilitation Health Services in Central Uganda.

Child disability is a significant public health concern which impacts 1 in 20 children. Children with disabilities (CwDs) encounter deprivation of rights, biases in society, and a lack of access to necessary services, all of which are exacerbated by structural obstacles. This study assessed the coverage of child disability prevention, management and rehabilitation services in four districts of Central Uganda after two years of interventions to improve these services. The Lot Quality Assurance Sampling (LQAS) rapid health facility assessment method was employed to assess coverage of services based on sixteen indicators. The indicators were set based on constructs of: provision of disability-related services to CwDs; use of rehabilitation services; readiness of the health facilities (HFs) to provide basic disability management and rehabilitation services; community structures for linkage to disability management and rehabilitation services; psychosocial support provision; and upholding and protecting the rights of CwDs. A district-level decision rule was set based on 80% coverage target. Despite the interventions, the services have yet to provide the desired level of benefit to CwDs and their caregivers. Out of the sixteen indicators for healthcare service coverage for CwDs, only three attained the 80% coverage target. The findings suggest that greater focus by health service planners and project implementers is still needed, especially at the community and health facility levels to enhance the prevention, management and rehabilitation of CwDs. Psychosocial health services for caregivers of CwDs need special attention in order to achieve better service approaches.

An Rapid Assessment Method for Bearing Capacity of RC Girder Bridges Based on Residual Strain

An Rapid Assessment Method for Bearing Capacity of RC Girder Bridges Based on Residual Strain

Arduino-Based Development of Automatic Body Posture Measuring Device for Rapid Entire Body Assessment Method

Workers from various industries can be exposed to musculoskeletal disorders (MSDs) risks in the workplace. Most cases of MSDs happen because of the accumulation of repetitive bad postures. Postural analysis can be done to implement changes that minimize MSDs risks in the workplace. The rapid entire body assessment (REBA) method provides an easy and fast measurement to analyze various postures. The accuracy of REBA assessments from observations is not good enough due to the limitations of human vision. The input of photo-based postural analysis also has a lot of error potential and takes up even more time. Therefore, this study aims to design a tool to do body posture measurements accurately and quickly. The Arduino-based postural analysis tool measures the position of several body segments, which are then used as the input of REBA in real time. The acceleration of each body segment recorded by the MPU6050 will be processed as displacement data and used to analyze the posture. The posture measurements detected by the tool is then used as input for REBA assessment. The device's accuracy was tested by comparing the photo-based postural analysis result to the postural analysis result of the tool. The reliability of the device was tested by Cronbach's Alpha method. The Cronbach's Alpha value of normal standing posture is 0.692, and the extreme posture's Cronbach's alpha value is 0.537. Multiple postures can be recorded at once using the tool. The tool can capture and assess multiple postures in approximately 6 minutes.

Study of vertical electrical resistance changes in reservoir beds of Tournaisian oil deposits

The article proposes a method for rapid assessment of the initial position of oil-water contacts, oxidized oil zones, transition zones, zones of high and decreasing resistance in the Lower Carboniferous Tournaisian oil deposits at one of the oilfields of the Republic of Tatarstan. As initial data, the values of electrical resistivity of effective interlayers from the catalog of geological and geophysical data, determined from induction logging curves, were used. Well log data for more than 200 wells drilled in elevation areas were used in analysis. The change in the electrical properties of deposits vertically is considered using the average resistivity values of effective interlayers averaged over all wells. Conclusions are based on the results of the done work: according to the resistivity values in massive carbonate deposits of the Tournaisian age, it is possible to distinguish various zones of oil saturation along the vertical; initial oil saturation does not grow exponentially, as in the Leverett function, but linearly in each zone.

Analysis of Employee Work Posture with the Quick Exposure Check (QEC) and Rapid Entire Body Assessment (REBA) Method (Case Study: CV. Wijaya Mandiri Label)

CV Wijaya Mandiri Label is a company engaged in offset printing label printing. The products produced from the company can vary according to customer demand. The printing industry generally still uses work activities in the form of manual material handling which includes lifting, pushing, and pulling to move an object. This research aims to identify the level of potential risk of injury to employee work postures. In this study, the methods uses were Quick Exposure Check (QEC) and Rapid Entire Body Assessment (REBA). The QEC method is used as an initial identification of potential ergonomic problems and the risk of injury at workstations where the exposure level is 83% (very high risk) and 82.7% (very high risk). So that further research is needed by assessing work postures using the REBA method with REBA score 11 (very high) and REBA score 9 (high). The proposed improvements are in the form of manual scissor lift table and an adjustable work desk following the anthropometry of workers. From these tools can reduce the risk level REBA score from 11 to 7 (medium) and REBA score from 9 to 5 (medium) which is known from the simulation results of using tools using 3D software.

CLINICIAN PERSPECTIVES ON PRE-VISIT AGENDA-SETTING FOR PERSONS WITH DEMENTIA AND THEIR CARE PARTNERS

Abstract Family care partners often assist persons with dementia in managing their health care, including through healthcare system patient portals. Thus, gaps in communication with family care partners can lead to unmet care needs. OurNotes is an agenda setting intervention included within pre-visit questionnaires that is sent through the patient portal. The intervention aims to encourage patients to share concerns before the visit to enhance communication between patients and clinicians. The objective of this study was to understand clinician perspectives on use of OurNotes in dementia care, including engaging care partners and suggestions for improving the intervention. Semi-structured interviews were conducted with 20 clinicians from two health systems with experience using OurNotes and caring for patients with dementia. Using rapid assessment methods, a codebook was developed and used in a team-based, thematic analysis. Participants were majority White, female, between 30-39 years, worked in primary care, and physicians. Clinicians identified: 1) Benefits of pre-visit preparation that enhanced clinician knowledge of the patient and/or care partner agenda; 2) Improved delivery of family-centered dementia care through greater care partner involvement; 3) Challenges of balancing patient and care partner concerns during clinical visits; and 4) Suggestions for focused efforts on improving care partners’ accessibility and use of OurNotes (and the patient portal). We conclude that optimizing use of OurNotes by care partners may support effective agenda setting by patients, care partners, and clinicians, and ultimately improve dementia care.

Posture analysis of the workers of railway maintenance unit

Maintenance of railways is done periodically by the railway maintenance unit. The work activities executed in uncertain weather and with the use of relatively heavy equipments are done in a quick manner. Therefore, work posture examination is required using Rapid Entire Body Assessment (REBA) and Nordic Body Map (NBM) methods. This study aimed to find out the work posture of the workers in the railway maintenance unit of Resort IV.6 Ketapang, North Lampung. The study was qualitative in nature using a case study approach. The data were collected through interviews and observation using Nordic Body Map (NBM) forms. Data collection from informants was conducted using purposive sampling with 1 key informant and 4 triangular informants, with the characteristics of already working for more than 3 years and also being the workers in the railway raising projects. The results of the study showed that, based on REBA calculation, the score obtained upon the observation of the informants’ working posture was 10, which was categorized as high. As such, immediate identification is required regarding the informants’ working posture. Based on the results of the study, it is concluded that working postures of the workers in the railway maintenance unit have effects on the pain in the muscle parts of the workers. Therefore, Improvement on working postures should be made immediately. In addition, during their work using working equipments, they should do short stretching to reduce the pain complained.

Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis

Background & AimsThe multicompartment approach to body composition modeling provides a more precise quantification of body compartments in healthy and clinical populations. We sought to develop and validate a simplified and accessible multicompartment body composition model using 3-dimensional optical (3DO) imaging and bioelectrical impedance analysis (BIA). MethodsSamples of adults and collegiate-aged student-athletes were recruited for model calibration. For the criterion multicompartment model (Wang-5C), participants received measures of scale weight, body volume (BV) via air displacement, total body water (TBW) via deuterium dilution, and bone mineral content (BMC) via dual energy x-ray absorptiometry. The candidate model (3DO-5C) used stepwise linear regression to derive surrogate measures of BV using 3DO, TBW using BIA, and BMC using demographics. Test-retest precision of the candidate model was assessed via root mean square error (RMSE). The 3DO-5C model was compared to criterion via mean difference, concordance correlation coefficient (CCC), and Bland-Altman analysis. This model was then validated using a separate dataset of 20 adults. Results67 (31 female) participants were used to build the 3DO-5C model. Fat-free mass (FFM) estimates from Wang-5C (60.1 ± 13.4 kg) and 3DO-5C (60.3 ± 13.4 kg) showed no significant mean difference (-0.2 ± 2.0 kg; 95% limits of agreement [LOA] -4.3 to +3.8) and the CCC was 0.99 with a similar effect in fat mass that reflected the difference in FFM measures. In the validation dataset, the 3DO-5C model showed no significant mean difference (0.0 ± 2.5 kg; 95% LOA -3.6 to +3.7) for FFM with almost perfect equivalence (CCC = 0.99) compared to the criterion Wang-5C. Test-retest precision (RMSE = 0.73 kg FFM) supports the use of this model for more frequent testing in order to monitor body composition change over time. ConclusionsBody composition estimates provided by the 3DO-5C model are precise and accurate to criterion methods when correcting for field calibrations. The 3DO-5C approach offers a rapid, cost-effective, and accessible method of body composition assessment that can be used broadly to guide nutrition and exercise recommendations in athletic settings and clinical practice.

Musculoskeletal Disorders Risk Levels in Tofu Workers in North Aceh: An Ergonomic Assessment

Tofu is a soy-based food that is popular in Indonesia. One of the supporting factors is that it has high nutritional value and low price. Tofu is produced by micro, small, and medium enterprises (MSMEs) in all provinces in Indonesia, including in the region of Aceh. Based on the results of observations, the tofu production process still predominantly uses human labor, starting from the washing process to the cutting process. This activity is carried out every day with a high repetition rate. If this is allowed to happen for a long time, workers will be exposed to the risk of musculoskeletal disorders. This study uses the Cornell Musculoskeletal Disorders (CMDQ) questionnaire to assess the workers' work posture and determine the level of occupational hazard risk using the Rapid Entire Body Assessment (REBA) method. The results of the distribution of questionnaires show that the body parts that experienced pain complaints were the shoulder (right dan left), upper back, upper arm (right and left), lower back, forearm (right and left), also wrist (right and left). It happens in the filtering process. The results of the assessment of work posture with the REBA method show the score of work posture in the filtering process is 13, which means that the filtering posture of workers has a very high risk and must be improved immediately. The present research recommended additional intervention that includes engineering and administrative control methods for reducing those workers' complaints of muscle pain.

ISI SURAKARTA HOLDS TRAINING TO EMPOWER AISYIYAH RESIDENTS INCREASE THE TRADE VALUE OF TYPICAL KARANGANYAR SOUVENIRS

Packaging is an important element in maintaining food quality and safety. Aisyiyah is a women's organization that exists to support the government in various fields, one of which is the welfare of the people through the Economic and Welfare Council in developing and marketing food that has economic value as tourist souvenirs. The obstacle faced is the weak packaging design. Training and empowerment in visual merchandising design management was carried out for Aisyiyah residents in Karanganyar. Aisyiyah residents as a partnership network of lecturers under LPPMPP ISI Surakarta handle problems with training assistance from the design and postgraduate departments. The strategy chosen for empowerment is ecologically based, using the Rapid Rural Appraisal (RRA) Method. In this method, participants are invited to learn to understand the potential and awareness of maintaining environmental safety, and are able to build motivation for EcoDesign creativity. The Participatory Rural Appraisal (PRA) method emphasizes participant involvement in being able to foster creativity related to the personal potential of traders, building creative interior design abilities, especially related to merchandise image. The results of the empowerment training consist of (1) participants' skills in analyzing packaging design needs for culinary businesses; (2) The creative results of merchandise packaging designs consist of snacks, side dishes, bags, batik in the concept of plastic wrap, paper, and environmentally friendly rattan bags and paper bags. Empowerment activities can be utilized: (1) Recommendations on design offers for group businesses; (1) Providing participants with skills and knowledge in developing culinary businesses independently

Work posture analysis and complaint risk using Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) methods

Work posture analysis and complaint risk using Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) methods

METHODOLOGY FOR SELECTION OF MILITARY AUTOMOTIVE EQUIPMENT BY QUALITY INDICATORS

The article analyses the current state of the military vehicle fleet and problematic issues and proposes how to provide the units of the Ukrainian Defence Forces (UDF) with new models of military vehicles in the context of russia’s war against Ukraine. The question arises as to what basic technical characteristics and design requirements the military vehicles should meet.
 It should be clearly understood that due to objective reasons (hostilities, destroyed economy, lack of money for the production of new models of military vehicles), in the near future, all the necessary nomenclature of modern military vehicles will not be produced in Ukraine, but the problem is to choose foreign models of military vehicles in terms of quality indicators that will best meet the needs of the Armed Forces in terms of tactical and technical characteristics, structure and mobility in difficult war conditions.
 Due to the natural and climatic conditions, difficult terrain and a wide range of weapons used by the enemy, there is a need to constantly renew the fleet of ATVs.
 The Rapid Situation Assessment (RSA) method will allow for a quick assessment and selection of military vehicles in a minimum of time. To process the obtained estimates, we will apply the method of hierarchy analysis, which is widely used to formalise the process of managerial decision-making.
 The purpose of the article is to use a methodological approach to the selection of military vehicles for the needs of the UDF using the hierarchy analysis method with consideration of qualitative criteria.
 The chosen scientific approach allows identifying and ranking the basic mobility properties of military vehicles in terms of importance, which in turn will help the evaluators to identify those that are currently the most important indicators for the selection of military vehicles. The criteria for selecting military vehicles are based on the current legal and regulatory framework for defence procurement with public funds.
 This analysis will allow us to formulate some proposals for improving the evaluation methodology for the procurement of military vehicles.
 For this purpose, first of all, it is necessary to define and formulate
 
 specialised structures for the selection and evaluation of military vehicles;
 algorithm, mechanisms and tools for its implementation;
 professional training (retraining) of personnel who are able to carry out a professional, informed choice of military vehicles.

Determination of the main technological parameters of cyclic-steam stimulation of oil reservoirs with account of heat losses along the borehole

Due to the decline in light oil reserves, the development of high-viscosity oil fields has become more relevant today. One of the most common methods of thermal enhanced oil recovery is cyclic-steam stimulation. Compared to other techniques, this method has an advantage of providing higher thermal efficiency due to selection of its parameters with account of variations in the basic properties of a heat carrier as it moves towards the well bottom. The purpose of this work is to create a method for rapid assessment of optimal technological parameters of cyclic-steam stimulation, in which the temperature distributions along boreholes obtained from geophysical research are used as initial data. The created method allows determination of the time of hot carrier injection, steam soak and oil production. The scientific novelty of the study refers to the fact that an integrated approach relating the problem of hot carrier transportation with the problem of determination of optimal parameters for reservoir treatment is proposed for the first time. The cyclic-steam stimulation process is described by the equations of mechanics of multiphase systems. Euler’s method is used to solve the resulting system of equations. The paper presents: functions of depth-wise distributions of pressure, temperature and velocity and dryness fraction of steam; temperature distribution in the multilayer wall of the well and in the rock (considering a specified heat transfer between the layers of the well materials, water and rock at known temperatures); optimal values of the time of hot carrier injection, steam soak and oil production. The calculations have shown that, due to the in the layer of basalt fiber, the temperature in the multilayer wall of the well decreases within 80%. The maximum value of additional cumulative oil recovery has been established by analyzing the calculated bottom-hole parameters of the heat carrier.

Visualization of Caregiving Posture and Risk Evaluation of Discomfort and Injury

There is a high risk of musculoskeletal discomfort and injury due to the lack of professional guidance and training in caregiving postures. This study aimed to develop a risk assessment and visualization method by analyzing caregiving postures. Participants with (n = 8) and without (n = 10) caregiving experience were recruited to simulate patient transfer from bed to wheelchair. The Rapid Entire Body Assessment (REBA) method lacked sensitivity in distinguishing the experienced and inexperienced groups. We found that the visualization of the center of gravity (COG) trajectory could represent distinct posture differences between the two groups. Based on this finding, we considered a modified REBA method combining the COG trajectory, load-bearing time, and asymmetric load parameters, named the Caregiving-REBA (C-REBA) method. Our results demonstrated that C-REBA could effectively distinguish experienced and inexperienced caregivers, especially in caregiving task Stages 2–4. In conclusion, the present work explored adjusting to the parameters of the REBA method. The proposed C-REBA method could be easily imbedded into the Internet of Things (IoT) device to assess the caregiving posture for providing visual guidance and warning of the risk of discomfort or injury.

Spatial relationship-aware rapid entire body fuzzy assessment method for prevention of work-related musculoskeletal disorders

In the advent of Industry 5.0, advances in human-centered smart manufacturing (HSM) accentuate the role of humans in human–machine collaboration. This development has catapulted human health in human-machine systems to the forefront of the conversation. Although various tools have emerged to mitigate work-related musculoskeletal disorders (WMSDs), combining biomechanics with human morphology, the extant methods primarily hinge on expert scoring. Such methods display a step-wise change between risk levels, yielding inadequate assessment accuracy and posing challenges to human health assurance in HSM. To address these issues, this study proposes a spatial relationship-aware rapid entire body fuzzy assessment technique. The proposed method enhances the rapid entire body assessment (REBA) by enacting a dynamic evaluation of WMSD-related risk via a deep learning-based 3D pose reconstruction. Contrary to the step-wise transitions between REBA's different risk levels, the proposed method actualizes a fuzzy assessment of WMSD risk by introducing weights between these levels. This innovation allows for a more accurate risk assessment for workers engaged in HSM. Validation through experiments conducted on data from an automobile production line demonstrates that the proposed method can achieve a precision rate of 99.31%. Demo videos and code are available at https://github.com/giim-hf-lab/REBA-PLUS.