Acceptance Test Research Articles

Aquasoya powder from the upcycled soybean cooking water can be a suitable ingredient for plant‐based yoghurt alternatives

SummaryAquasoya, or soybean cooking water, is a novel plant‐based material as an egg substitute due to its functional proteins. However, research on its fermentation is still emergent. To assess its prebiotic potential, we developed a plant‐based yoghurt alternative using aquasoya powder (ASP). After analysing the main components of ASP, six variants of aquasoya yoghurt, employing commercial cultures, underwent physicochemical, rheological properties, lactic acid bacteria viability and sensory attributes. The results showed that all samples were maintained under pH 4.6 and acidity over 0.7 for 20 days of storage and displayed prebiotic potential. Additionally, yoghurt with 8% ASP content and Sacco starter culture exhibited a thinner network phase. Panellists noted yoghurt with culture – Culture For Health – had weaker flavour intensity and yoghurt with 8% ASP received the highest overall liking score in the preliminary consumer acceptance test. This study established aquasoya as a promising food ingredient for incorporation into a novel milk substitute.

Integrating Change Management with a Knowledge Management Framework: A Methodological Proposal

This study proposes the integration of change management with a knowledge management framework to address knowledge retention and successful change management in the context of Industry 5.0. Using the ADKAR model, it is suggested to implement strategies for training and user acceptance testing. The research highlights the importance of applying the human capital life cycle in knowledge and change management, demonstrating the effectiveness of this approach in adapting to Industry 5.0. The methodology includes a review of the state of the art in intangible asset management, change management models, and the integration of change and knowledge management. In addition, a case study is presented in a food production company that validates the effectiveness of the ADKAR model in implementing digital technologies, improving process efficiency and increasing employee acceptance of new technologies. The results show a significant improvement in process efficiency and a reduction in resistance to change. The originality of the study lies in the combination of the ADKAR model with intangible asset and knowledge management, providing a holistic solution for change management in the Industry 5.0 era. Future implications suggest the need to explore the applicability of the ADKAR model in different industries and cultures, as well as its long-term effects on organisational sustainability and innovation. This comprehensive approach can serve as a guide for other organisations seeking to implement successful digital transformations.

The Ambiguous Cue Task: Measurement reliability of an experimental paradigm for the assessment of interpretation bias and associations with mental health

Interpretation biases in the processing of ambiguous affective information are assumed to play an important role in the onset and maintenance of emotional disorders. Reports of low reliability for experimental measures of cognitive biases have called into question previous findings on the association of these measures with markers of mental health and demonstrated the need to systematically evaluate measurement reliability for measures of cognitive biases. We evaluated reliability and correlations with self-report measures of mental health for interpretation bias scores derived from the Ambiguous Cue Task (ACT), an experimental paradigm for the assessment of approach-avoidance behavior towards ambiguous affective stimuli. For a non-clinical sample, the measurement of an interpretation bias with the ACT showed high internal consistency (rSB = .91 – .96, N = 354) and acceptable 2-week test–retest correlations (rPearson = .61 – .65, n = 109). Correlations between the ACT interpretation bias scores and mental health-related self-report measures of personality and well-being were generally small (r ≤ |.11|) and statistically not significant when correcting for multiple comparisons. These findings suggest that in non-clinical populations, individual differences in the interpretation of ambiguous affective information as assessed with the ACT do not show a clear association with self-report markers of mental health. However, in allowing for a highly reliable measurement of interpretation bias, the ACT provides a valuable tool for studies considering potentially small effect sizes in non-clinical populations by studying bigger samples as well as for work on clinical populations, for which potentially greater effects can be expected.

Evaluasi Penerapan Software Akuntansi Accurate dalam Penyusunan Laporan Laba Rugi

Accurate accounting software is a business application that helps SMEs manage their business easily. Processing financial data into financial reports needed to help plan the company's future. The profit and loss report is a financial report that reports on the company's operational activities by calculating income and expenses for one period and then the profit and loss report can be determined. The profit and loss report can be used as a way to assess the company's level of success in a certain period and also to understand the company's development. This research aims to determine the evaluation of the application of accurate accounting software in preparing profit and loss reports. The type of research used is qualitative research, with a sampling technique, purposive sampling. The research method used is User Acceptance Testing, with a type of testing, Black Box Testing. The results of this research show that accurate accounting software is effective in preparing profit and loss reports, easy to understand and easy to detect errors. This error can be detected by reviewing the transaction data that has been input. With the help of Standard Operating Procedures, companies can minimize errors, make control easier and enable to run company smoothly

Beetroot pulp and residue improve the shelf life of Greek yogurt when added as syrup

The physicochemical parameters of the pulp, the raw and steamed beetroot residue and the Greek yogurt after adding the beetroot as syrup were evaluated. The parameters pH, titratable acidity, antioxidant activity, mineral content and color were analyzed for both the yogurt and the raw and steamed beetroot during 28 days of storage, and acceptability only for the yogurt. Comparing fresh and steamed beetroot (p<0.05), the steamed beetroot pulp showed higher values of Mg (2.73 mg/100g), Na (74.76 mg/100g) and phenolic compounds (101 mg/mL). Similar results were observed for the residues, with Mg (2.42 mg/100g), Na (100.71 mg/100g) and phenolic compounds (117.77 mg/mL); the beetroot pulp syrup showed higher (p<0.05) average levels of Mg (8.62 mg/100g) and Na (80.95 mg/100g). Yogurt with 5% pulp syrup showed increased oxidation values over the 28 days. However, the yogurt with 15% waste syrup showed high levels of magnesium, sodium and potassium. In the acceptability test, the yogurts with 5% pulp syrup and 15% residue syrup showed the better scores. The aerial parts (residue) of beetroot, which are commonly rejected because they are hard and consumers are unwilling to use them, have shown to be a valuable source of phenolic compounds. Producing syrups from plant parts that are not commonly edible improves acceptability and visual appearance, and yogurt can be used as a base for adding these syrups.

Sensory Characterization and Acceptance of Amazonian Robustas Coffee Brews by Consumers Using a Home-Use Test

This study evaluated consumers’ perceptions of beverages obtained from the intervarietal hybrids of Coffea canephora, Conilon and Robusta, produced in the Western Amazon, through a home-use test with 127 participants. An acceptance test and a Check-All-That-Apply procedure were applied. Two clones, BRS 2314 and BRS 2357, were studied (both in natural and fermented versions) and their roasted coffee composition was also evaluated. All beverages were described as having a mild aroma, roasted flavor, and slightly sour taste; consumers noticed both the effect of the fermentation process and genetics. Natural coffees had greater sensory acceptance than fermented ones. Natural coffees were most associated with a slightly bitter taste, and were well accepted by almost half of the participants, mainly women. Fermented coffees were both associated with fermented flavor, but also presented specific characteristics. BRS 2314F was most associated with a fruity flavor and slightly bitter taste and was well accepted by younger consumers with higher levels of education. BRS 2357F was most associated with tobacco flavor and bitter taste and was well accepted by older consumers with a lower education level and a higher coffee consumption frequency. The positive acceptance of C. canephora intervarietal hybrid beverages allowed us to confirm its material market potential.

Longitudinal Risk Analysis of Second Primary Cancer after Curative Treatment in Patients with Rectal Cancer.

Predicting and improving the response of rectal cancer to second primary cancers (SPCs) remains an active and challenging field of clinical research. Identifying predictive risk factors for SPCs will help guide more personalized treatment strategies. In this study, we propose that experience data be used as evidence to support patient-oriented decision-making. The proposed model consists of two main components: a pipeline for extraction and classification and a clinical risk assessment. The study includes 4402 patient datasets, including 395 SPC patients, collected from three cancer registry databases at three medical centers; based on literature reviews and discussion with clinical experts, 10 predictive variables were considered risk factors for SPCs. The proposed extraction and classification pipelines that classified patients according to importance were age at diagnosis, chemotherapy, smoking behavior, combined stage group, and sex, as has been proven in previous studies. The C5 method had the highest predicted AUC (84.88%). In addition, the proposed model was associated with a classification pipeline that showed an acceptable testing accuracy of 80.85%, a recall of 79.97%, a specificity of 88.12%, a precision of 85.79%, and an F1 score of 79.88%. Our results indicate that chemotherapy is the most important prognostic risk factor for SPCs in rectal cancer survivors. Furthermore, our decision tree for clinical risk assessment illuminates the possibility of assessing the effectiveness of a combination of these risk factors. This proposed model may provide an essential evaluation and longitudinal change for personalized treatment of rectal cancer survivors in the future.

Gastronomic revaluation of vegetable discards generated in the culinary transformation of products

Currently, food waste and food loss have become issues of great interest worldwide. Approximately 1300 million tons of food are lost or wasted each year worldwide (FAO, 2020). To contribute to the mitigation of food loss, the gastronomy programs of the Universidad Autónoma de Manizales and the Institución Universitaria Colegio Mayor de Antioquia, along with the Food Engineering Program of the Universidad de Caldas, proposed a project. The project aimed to characterize the vegetable waste (VW) obtained in the cooking workshops of one of the institutions during a regular academic period of 18 weeks. Through this project, they identified 351 kg of VW generated. Based on this information, 16 recipes were designed, formulated, and prepared. Among them, eight recipes were selected based on their gastronomic potential. These selected recipes were then rated on a scale of one to eight by gastronomic experts. Following this evaluation, the first four recipes from the list were chosen. The results of the quality analysis indicated that the products made from vegetable discards are microbiologically viable, meaning they are suitable for consumption. Both acceptance tests and sensory analysis yielded favorable results. However, significant differences (P < 0.05) were observed among certain samples in terms of preference and attributes such as color, odor, and flavor. In conclusion, vegetables composed of by-products such as hulls and seeds, as well as non-compliant food items, are deemed suitable for gastronomic processing and human consumption.

Optimization of HS-SPME/GC-MS Method for Determining Volatile Organic Compounds and Sensory Profile in Cocoa Honey from Different Cocoa Varieties (Theobroma cacao L.).

This study aimed to develop an analytical method using HS-SPME/GC-MS to determine the volatile organic compound (VOC) profiles and evaluate the sensory attributes of cocoa honey from four cocoa varieties (CCN51, PS1319, SJ02, and Parazinho). Using a multivariate factorial experimental design, the HS-SPME/GC-MS method was optimized to determine the VOC profiles. Twenty previously trained tasters participated in the ranking descriptive analysis, while 108 consumers participated in the acceptance and purchase intention tests. A total of 84 volatile organic compounds were identified from various chemical classes, including acids, alcohols, aldehydes, esters, ketones, monoterpenes, oxygenated monoterpenoids, sesquiterpenes, and oxygenated sesquiterpenoids. Palmitic acid was the compound found in the highest concentration in all varieties (5.13-13.10%). Multivariate analysis tools identified key compounds for differentiation and grouping of the samples. The results revealed that the variety significantly influenced both the VOCs' concentrations and sensory profiles. The CCN51, PS1319, and SJ02 varieties exhibited the highest diversity of VOCs and sensory attributes. Notably, the SJ02 and CCN51 varieties demonstrated superior acceptability and purchase intention, with means ranging from 7.21 and 7.08 to 3.71 and 3.56, respectively. These results indicate their potential as promising sources of cocoa honey for the food industry.

User Acceptability Testing of Mobile Application in Indian Local Languages for Cardiovascular Risk Stratification and Modification among Patients with Type 2 Diabetes

Introduction: Cardiovascular disease is the leading cause of death in patients with type 2 diabetes. Digital health tools like mobile application have fast emerged as a technology capable of closing the gap in cardiovascular disease self- management and revolutionizing the way healthcare is traditionally delivered. One of the causes for low app engagement of Apps in India is perhaps that few of these apps are available in local languages. The goal is to reach as many diabetic patients as possible while avoiding linguistic hurdles.  Methodology: The ‘healthy heart’ mobile app was developed and translated into Hindi and Marathi languages for CVD risk stratification and risk management among Type 2 diabetes mellitus patients. User acceptability testing of the app on its design, presentation, content, and user- friendliness was undertaken. The feedback on utility of the app for CVD risk stratification and modification was assessed. A total 100 multilingual app users profile were noted for CVD Risk Status, Life Style Practices and CVD Risk Factors.  Results: The Healthy Heart multi-lingual app was successfully developed for CVD risk classification and risk management among Type 2 diabetes mellitus patients. The patients had the choice to select the desired language of the app from the versions available in English, Hindi and Marathi. The Mobile App's Home Screen displayed the CVD risk score and category, a health tracker to monitor compliance with WHO recommendations regarding diet, physical activity, addictions, medication adherence, diabetic, and CVD Risk Profile. The majority of respondents rated the App's design, presentation, content, and user- friendliness favorably and emphasized the utility of App for CVD self-management and risk reduction. Characteristics of Type 2 Diabetic patients demonstrated poor compliance for total fruits and vegetable intake, total fat intake and total salt intake, physical activity Guidelines apart from poor control for blood pressure, glycemic control and lipid targets.  Conclusion: The multilingual mobile App for CVD risk stratification, self-management and CVD risk reduction among diabetic patients was successfully developed in Hindi and Marathi language. User acceptability testing results were found to be favorable for the mobile app.

Rancang Bangun Aplikasi Sistem Pakar Diagnosis Penyakit Jantung: Studi Kasus pada Klinik Siaga Menggunakan Metode Case-Based Reasoning (CBR) Berbasis Web

In the era of modernization, technological advancements are developing rapidly and play an essential role in various aspects of life, including healthcare. Technology enables people to easily access information in fields such as business, education, and health. In the medical field, computer-based expert systems assist professionals in diagnosing diseases and solving specific problems. This study focuses on developing an expert system application for diagnosing heart diseases using the Case-Based Reasoning (CBR) method, implemented as a web-based system with PHP and MySQL. The heart, a vital organ responsible for pumping blood, is slightly larger than a fist (around 200–425 grams). According to Dr. Helmanu Kurniadi and Ulfa Nurrahmani, S.Kep., smoking is identified as one of the contributing factors to heart disease. The developed application consists of five primary elements, with several menus such as the homepage, user data, disease information, disease list, and login page. Based on black box testing, the application has been thoroughly tested to ensure it functions correctly and is free from coding errors. Additionally, acceptance testing was conducted eight times, resulting in a 100% accuracy rate, aligning with the intended design. Thus, the application is ready to be deployed and is expected to assist both the public and healthcare professionals in diagnosing heart diseases effectively.

On the Determination of Efficiency of a Gas Compressor

For a gas undergoing a compression process, it is more appropriate to think of either isentropic or polytropic efficiency as process-defining parameters indicating that a given end state of compression has been achieved, rather than a measure of effectiveness of conversion of one form of energy into another. The polytropic efficiency, as defined in ASME PTC-10 standard for compressor field trials and acceptance tests, actually involves the comparison of two distinct compression processes, neither of which are actually connected to the performance of the compressors producing them. Consequently, it is not rational to compare the ASME PTC-10 polytropic efficiency of a compressor designed to compress a gas predominantly adiabatically with that for a compressor designed to compress a gas predominantly isothermally. A framework correcting this situation is set out and is illustrated with several numerical examples. Suggestions for maintaining backward compatibility with ASME PTC-10 are also put forward.

Economic Impact Assessment of Structural Health Monitoring Systems on the Lifecycle of a Helicopter Blade

Structural Health Monitoring Systems (SHMS) are currently widely investigated in the literature, however, their application to the aerospace industry is still limited. One of the reasons lies in the lack of methods aimed at evaluating their economic impact on the lifecycle of the structural element to be monitored [1]. In this work the economic impact of FBG-based SHMS was evaluated on a composite helicopter rotor blade, considering two perspectives: Beginning Of Life (BOL), concerning the blade production, and Middle Of Life (MOL), concerning its usage. The processes were modeled using the IDEF0 methodology, which allowed deriving the cost models for two scenarios: the current one, and the one including the SHMS. In BOL, the SHMS was supposed providing support to the development of new composite rotor blades, including the curing cycle definition and certification tests. In MOL the SHMS was supposed performing automatic scheduled inspections coupled with the traditional ones. The cost model was implemented in the Probabilistic Damage Tolerance Analysis [2] to compare the scenarios having the same blade Probability Of Failure and considering the performances of the SHMS in terms of Probability Of Detection and Probability of False Alarm. Results show that an economic benefit may be achieved using the SHMS in the development of new blades, potentially reducing the number of blades tested and number of autoclave cycles. Moreover, it was found that the traditional scheduled detailed inspection intervals could be extended if automatic SHMS inspections are performed in addition, maintaining the same Probability Of Failure. [1] Büchter, K. D. et al. (2022). Modeling of an aircraft structural health monitoring sensor network for operational impact assessment. Structural Health Monitoring, 21(1), 208-224. [2] Lin, K. Y., &amp; Styuart, A. V. (2007). Probabilistic approach to damage tolerance design of aircraft composite structures. Journal of Aircraft, 44(4), 1309-1317.

Acceptance Tests of more than 10 000 Photomultiplier Tubes for the multi-PMT Digital Optical Modules of the IceCube Upgrade

More than 10000 photomultiplier tubes (PMTs) with a diameter of 80 mm will be installed in multi-PMT Digital Optical Modules (mDOMs) of the IceCube Upgrade. These have been tested and pre-calibrated at two sites. A throughput of more than 1000 PMTs per week with both sites was achieved with a modular design of the testing facilities and highly automated testing procedures. The testing facilities can easily be adapted to other PMTs, such that they can, e.g., be re-used for testing the PMTs for IceCube-Gen2. Single photoelectron response, high voltage dependence, time resolution, prepulse, late pulse, afterpulse probabilities, and dark rates were measured for each PMT. We describe the design of the testing facilities, the testing procedures, and the results of the acceptance tests.

Visual Testing Method Personnel Qualification and Certification: An Overview

Visual Testing Method Personnel Qualification and Certification: An Overview

Assessment of the Performance of the Dose Calibrator Used in Radioactivity Measurement

Aims: This study aimed to evaluate the principal technical characteristics of a well-type gas-filled ionization chamber dose calibrator used in measuring radiopharmaceutical activity, namely accuracy, repeatability, and linearity. Furthermore, this work also explored the correlation between the device’s response and the position and volume of the radiopharmaceutical I-131. Materials and Methods: Experimental measurements were conducted on the ATOMLAB 500 dose calibrator using NIST traceable Cs-137 source to determine the accuracy and repeatability. For the linearity test, the Tc-99m solution produced at the Dalat Nuclear Research Institute, Vietnam was utilized to examine the performance of the device over a wide measurement range. Effects resulting from different volumes and measuring positions were also determined by experiments and Monte Carlo simulations. Results: Based on acceptance test results, it is revealed that the dose calibrator’s characteristics comply with international standards, where the deviations of accuracy, repeatability, and linearity are all lower than 1.0%. The response of the dose calibrator to different measuring positions and volumes was well controlled. To rectify the discrepancy in the response to the changes in solution volume, correction functions were proposed. Conclusions: It is concluded that the dose calibrator is suitable for radioactivity quantification and adheres to standards recommended by international organizations for nuclear medicine activities. The outcome of this work will serve as the foundation for establishing a standard for I-131 radiopharmaceuticals’ radioactivity in Vietnam.

Development of Factory-Based Learning Modules in Clothing Production Units

The aim of research and development is to develop a factory-based learning module in fashion production units in vocational schools that can be used in the classroom or for independent learning. This study was developed based on an analysis of the needs of class XI fashion students at SMK Negeri 1 Beringin. Development research using the 4D method by Thiagarajan. Has the Define, Design, Develop, and Disseminate research stages. The development process involves input from material experts, media experts, and instructional experts, as well as acceptability testing from students. The results of the research show that (1) the Teaching Factory-Based Learning Module in the Clothing Production Unit received a material expert score in the content feasibility aspect of 3.43, or 85.83% (very feasible). In the feasibility aspect of the presentation, it was 3.23, or 80.68% (feasible). Language assessment aspect: 3.54, or 88.46% (very decent). Instructional expert validation aspect: 3.32, or 82.93% (feasible). Media expert aspects of graphic feasibility are 3.68, or 91.94% (very feasible). Each validation shows that the product is suitable for use in learning. (2) The Teaching Factory Based Learning Module in the Clothing Production Unit is tested using the N-Gain Score to see the effectiveness of media use on learning outcomes. The research results showed a figure of 0.57 (medium effectiveness). Research conclusions: The Teaching Factory-Based Learning Module in the Clothing Production Unit at SMK Negeri 1 Beringin is suitable for use and is effective in improving learning outcomes.

Web-Based Application of Indonesia-Manado Translation Forum Using Extreme Programming Methodology

Manado language (Manadonese) is one of the languages that is registered in the ISO 639-3 standard system with the code of xmm and used by 3.320.000 users. In daily life, Manadonese is commonly used verbally. In its oral use, Manadonese becomes a low-resource language, meaning it lacks text-based resources, which makes it difficult to develop various linguistic-based technologies to preserve Manadonese. This research aimed to provide a data source to develop advanced linguistic-based technology. The methodology used for this research is extreme programming (XP). The result of this research is a Web-Based Application Of Indonesia-Manado Translation Forum with various functions, such as uploading Indonesian articles that will be translated into Manadonese, from this diverse amount of translation the best of it will be chosen to be processed every word and sentence that will be saved in the database. The application is tested with Acceptance Testing as an indicator and the result shows that the forum managed to accomplish the goal set up before.

Design of Mobile-Based HR Management Application in Pekanbaru Army Hospital

Pekanbaru Army Hospital as a health institution that has a strategic role in health services for military personnel and the people of Pekanbaru city still faces challenges in carrying out human resource management (HRM). This research aims to build a mobile-based medical HR management application using Flutter technology. This software development applies the Rapid Application Development (RAD) methodology which allows application development to be carried out in stages and iteratively, focusing on speed and flexibility, and for application testing using the black box testing method. This research produces a mobile-based HR management application with location-based online attendance features, medical performance monitoring for medical clusters, online leave applications, and e-file management. This application has been tested with Blackbox Test to ensure all functionality runs well and as expected. User Acceptable Test also shows that this application gets a satisfaction percentage of 84%, so it can be concluded that this application can be well received by users and is suitable for use.

Improving the Functionality of the Electronic Health Record System through the Development of the Anesthesia Module

Background: With the advancement of healthcare technology, the use of Electronic Health Records (EHR) has become more effective, providing benefits such as cost reduction, improved healthcare quality, and enhanced data recording and mobility. To remain effective, EHRs must meet requirements such as data completeness, failure resilience, high availability, and security. Pekanbaru army hospital has adopted EHR since 2022 for several main services, except for the anesthesia service. The anesthesia service still uses paper records, which are inefficient and lag behind other services. The anesthesia process, involving extensive information and coordination, greatly requires an EHR system. The development of an anesthesia module is expected to facilitate anesthesiologists and nurse anesthetists in managing patient medical information and assist in the execution of surgical procedures. Objective: This study aims to improve the functionality of the electronic health record system (EHRS) in managing medical records in the anesthesia installation service by developing an anesthesia module at the Pekanbaru Army Hospital. Method: The software development methodology used in this research is Agile Methodology where the process of analyzing user needs, collecting data, implementing the system, and evaluating and validating the system. Result: The Anesthesia Module that has been built has various features including: anesthesia patient registration, pre-anesthesia patient data recording, anesthesia induction, post-anesthesia, anesthesia reports, and integration with laboratory and radiology systems. Through testing carried out with the black box test technique, 98% of the system functionality runs well and with the user acceptance test technique, 94% of the system functionality can be accepted by users.