Verification Of Requirements Research Articles

A simultaneous analysis strategy of glycerophospholipids and lipid mediators based on secondary extraction scheme.

Lipid peroxidation plays an important role in physiological and pathophysiological conditions; it occurs mainly in the vicinity of the membrane. Glycerophospholipids are indispensable for normal structure of membranes. Lipid mediators are final products of lipid peroxidation. Glycerophospholipids as a source of lipid mediators are closely related with lipid mediators in lipid peroxidation process. This study developed a strategy for simultaneous analysis of glycerophospholipids and lipid mediators in a sample based on a secondary extraction scheme. Due to differences in physicochemical properties of glycerophospholipids and lipid mediators, we used different solvents and methods to extract glycerophospholipids and lipid mediators based on a sample. In addition, we compared three methods of extracting glycerophospholipids to select the best extraction method. In this study, a UPLC-MRM absolute quantification strategy for three deuterated internal standards of lipid mediator was established. The calibration range of all standards is linear, and the correlation coefficients are greater than 0.999. Quantitative range, precision, and accuracy of all analytes-based analysis method meet requirements of method validation. And the accuracy and precision of this method for glycerophospholipids meet the requirements of method verification. It is satisfactory to apply this method in the analysis of the changes of enzymes in lipid peroxidation during the treatment of asthma with dexamethasone. The quantitative results of phospholipids and lipid mediators in mouse lung tissue were obtained by this method, indicating that dexamethasone may inhibit the activity of phospholipase As enzyme and thus slow down the lipid peroxidation process. This work may be of great significance for exploring the changes of enzymes in lipid peroxidation metabolism.

The research of thermal environment test methodology for the Mars probe product

Abstract In order to ensure the success of the Mars exploration mission, it is necessary to accurately simulate the unique environment on the surface of Mars in a ground test and verify the effectiveness of the thermal control measures of the Mars rover. This paper proposes a thermal balance test method that can simultaneously simulate environmental factors such as Martian surface gas atmosphere, wind speed, pressure, solar radiation, and atmospheric temperature. This proposed test method meets the thermal design verification requirements of component-level products. Compared with similar large-scale facilities, the test cost is low, and the implementation efficiency is high. Furthermore, the influence of the Martian wind field on the surface temperature distribution of the product under both the Martian day and night environment was investigated using the proposed test method. The research results show that although the atmospheric pressure on the surface of Mars is much lower than the surface of the Earth, the Martian wind will still form forced convection heat transfer on the surface of the probe and its auxiliary products, which will affect the heat distribution of the products. In the thermal control design of the products, it is necessary to consider the impact of all the above environmental factors and carry out corresponding comprehensive environmental test verification.

Determination of vitamin D3 content in cod liver oil using column-switching technique.

To develop a two-dimensional liquid chromatography method to determine the content of vitamin D3 in cod liver oil preparations. The samples were prepared by saponification and extraction, and the content of vitamin D3 was determined by two-dimensional liquid chromatography with dual-pump-single-valve switching dual detectors. The chromatographic column, capture device, and detection wavelength were optimized; the linearity, system suitability, recovery rate, repeatability and sample stability of the method were investigated, and further validated in actual sample determination. A column switching two-dimensional chromatography method was developed. In the first dimensional chromatography, an Agilent PoroShell SB-C8 (50 mm×4.6 mm, 2.7 μm) column was used, and acetonitrile-water was used as mobile phase and gradiently eluted at a flow rate of 1.0 mL/min, the detection wavelength was 264 nm. An Agilent Zorbax SB-C18 (150 mm×3.0 mm,1.8 μm) column was used in the second dimensional chromatography, and acetonitrile was used as mobile phase at a flow rate of 0.42 mL/min, the detection wavelength was 264 nm. In determining content of Vitamin D3, there was a good linear relationship in the concentration range and the system suitability, recovery rate, repeatability and sample stability all met the verification requirements. The developed two-dimensional liquid chromatography method in the study is accurate, reproducible and simple, it can simultaneously separate pre-vitamin D3, trans-vitamin D3, vitamin D3, and tachysterol3, the baseline separation was achieved, indicating that it is worth promoting for application.

Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

AbstractMechatronic systems become ever more complex because of their increasing number of interconnected safety critical components and sophistication. MBSE (Model‐based Systems Engineering) and MBSA (Model‐Based Safety Assessment) are the most commonly adopted approaches to deal with the design and safety analysis of mechatronic systems. Unfortunately, both approaches are normally adopted separately, especially in the earlier phases of system design, thus leading to a lack of communication between system engineers and the safety team. This work aims to fill that gap at a high level, that is, through process interaction. This paper proposes an enhanced V‐model for the design of safety‐critical mechatronic systems. It relates a system development process with specific safety assessment methods. Specifically, the proposed workflow details exchange flows between the RFLP (Requirements, Functional, Logical, Physical) method, the FHA (Functional Hazard Analysis), the FMEA (Failure Mode and Effects Analysis), the MBSA and simulation, and the FTA (Fault Tree Analysis). These analyses are complemented with multiphysics modeling and simulation to observe system behavior in functional and failure scenarios, with the aim of requirements verification. The design workflow has been applied to a winged Unmanned Aerial Vehicle to apply the parallel process and the necessary interaction of MBSE and MBSA approaches. The information flows between the individual activities proved effective for designing a safe system before the verification phase. The main benefit of the proposed workflow is providing both the design and safety team with some interaction points, thus avoiding a lack of safety‐critical analysis in the early phases of system design.

X-RMTV: An Integrated Approach for Requirement Modeling, Traceability Management, and Verification in MBSE

Formal requirements modeling and traceability management are essential for effectively implementing Model-Based Systems Engineering (MBSE). However, few studies have explored the integration of requirement modeling, traceability management, and verification within MBSE-based systems engineering methodologies. Moreover, the predominant modeling language for MBSE, SysML, lacks sufficient capabilities for requirement description and traceability management and for depicting physical attributes and executable capabilities, making it challenging to verify functional and non-functional requirements collaboratively. This paper proposes an integrated approach for requirement modeling, traceability management, and verification, building on the previously proposed integrated modeling and the simulation language called X language. Our contributions primarily include defining the ReqXL specification for MBSE-oriented requirement modeling based on X language, proposing an algorithm for automatically generating requirement traces, and an integrated framework for requirements modeling, traceability management, and verification was developed by combining the X language with ReqXL. These functionalities were customized on the self-developed integrated modeling and simulation platform, XLab, which is specifically tailored for the X language. Furthermore, we showcase the efficacy and promise of our approach through a case study involving the design of an aircraft electrical system.

On the development of the first russian-chinese standard in the field of aircraft manufacturing GOST R 70066-2022 «Aircraft equipment. Requirements for aircraft acoustic design of passenger salon and crew cockpit»

The new national standard in the field of aircraft engineering GOST R 70066-2022 "Aircraft equipment. Requirements for aircraft acoustic design of passenger salon and crew cockpit" is reviewed. This standard was the first jointly developed by experts from Russia and China and approved as national standards in the Russia and China ( GB/T 41886-2022). The standard establishes general technical requirements for the acoustic design of the passenger cabin and crew cockpit, as well as requirements for verification of the acoustic design process of passenger cabin and cockpit of transport aircrafts.

Specification, validation and verification of social, legal, ethical, empathetic and cultural requirements for autonomous agents

Autonomous agents are increasingly being proposed for use in healthcare, assistive care, education, and other applications governed by complex human-centric norms. To ensure compliance with these norms, the rules they induce need to be unambiguously defined, checked for consistency, and used to verify the agent. In this paper, we introduce a framework for formal specification, validation and verification of social, legal, ethical, empathetic and cultural (SLEEC) rules for autonomous agents. Our framework comprises: (i) a language for specifying SLEEC rules and rule defeaters (that is, circumstances in which a rule does not apply or an alternative form of the rule is required); (ii) a formal semantics (defined in the process algebra tock-CSP) for the language; and (iii) methods for detecting conflicts and redundancy within a set of rules, and for verifying the compliance of an autonomous agent with such rules. We show the applicability of our framework for two autonomous agents from different domains: a firefighter UAV, and an assistive-dressing robot.

Formal Specification and Verification of Requirements in Architecture and Construction using the EXPRESS Modeling Language

Formal Specification and Verification of Requirements in Architecture and Construction using the EXPRESS Modeling Language

Stressing the System: Pediatric Trauma Centers May Be Unready to Implement Comprehensive Acute Stress Screening Programs for Pediatric Trauma Patients.

Children experiencing trauma are at risk of developing acute and chronic stress disorders. In 2022, the American College of Surgeons Committee on Trauma required verified pediatric trauma centers to screen at-risk patients and provide mental health provider referrals as needed. The study objective is to assess the current readiness of pediatric trauma centers to meet the new American College of Surgeons requirements. This study used an exploratory, electronic, cross-sectional survey design. The Pediatric Trauma Society distributed a survey on mental health screening practices to its members in February 2023. Results were summarized with descriptive statistics. Chi-square test was used to compare responses of Levels I and II pediatric trauma centers. There were 91 survey responses from the PTS membership of 1247 (response rate of 7.3%). Fifty-nine participants were from Level I and 27 from Level II pediatric trauma centers. 63.8% of Level I and 51.9% of Level II center respondents currently screened for acute stress (χ2(1)=1.09, p =.30). Of these, 75.7% of Level I and 57.1% of Level II center respondents routinely screened all admitted trauma patients (χ2(1)=1.68, p =.19). However, only 32.4% of Level I and 21.4% of Level II respondents reported having outpatient acute stress referral protocols. For pediatric trauma centers currently without screening, 65% of Level I and 46.2% of Level II pediatric trauma center respondents felt they needed more than six months to establish a program (χ2(1)=1.15, p =.28). Most respondents (68.9%) reported staff shortages as a barrier to the delivery of acute stress services. Pediatric trauma center compliance with acute stress screening requirements for verification is variable. Pediatric trauma centers may benefit from technical assistance with acute stress screening.

OCLVerifer: Automated Verfication of OCL Contracts in Requirements Models

Object Constraint Language (OCL) is one lightweight formal specification. Integrated within the Unified Modeling Language (UML) standard, it serves as a cornerstone in requirements modeling, enjoying widespread adoption across various domains. OCL can precisely define the pre- and post-condition of system operations and system invariants. While OCL provides a simple yet expressive syntax, it lacks clarity in mapping Object-Oriented (OO) concepts, such as object states, object links, and object attributes. This ambiguity makes it challenging for OO developers to identify errors in requirements. In this paper, we propose an approach named OCLVerifier, which can automatically detect the requirements errors of OCL, such as conflict, redundancy, and failure error. OCLVerifier first transforms OO contracts and detection patterns into SMT formulas and then proves them by using a SMT solver. Finally, the results are mapped to the original OCL contracts to display detailed error type and location information. To evaluate OCLVerifier, we conducted a comprehensive evaluation of four case studies. Experimental results indicate that OCLVerifier successfully identifies 65.5% of error cases, with each identified case offering accurate error location information. Compared with human experts, OCLVerifier can reduce evaluation time by 80.8% while enhancing repair accuracy by 18%. The results are satisfactory, and the proposed approach can be further extended to the software industry for requirements verification.

Influence of soot aerosol properties on the counting efficiency of instruments used for the periodic technical inspection of diesel vehicles

Abstract. In this work, we investigated the influence of different types of soot aerosol on the counting efficiency (CE) of instruments employed for the periodic technical inspection (PTI) of diesel vehicles. Such instruments report particle number (PN) concentration. Combustion aerosols were generated by a prototype bigCAST, a miniCAST 5201 BC, a miniCAST 6204 C, and a miniature inverted soot generator (MISG). For comparison purposes, diesel soot was generated by a Euro 5b diesel test vehicle with by-passed diesel particulate filter (DPF). The size-dependent counting efficiency profile of six PN–PTI instruments was determined with each one of the aforementioned test aerosols. The results showed that the type of soot aerosol affected the response of the PN–PTI sensors in an individualised manner. Consequently, it was difficult to identify trends and draw conclusive results about which laboratory-generated soot is the best proxy for diesel soot. Deviations in the counting efficiency remained typically within 0.25 units when using laboratory-generated soot compared to Euro 5b diesel soot of similar mobility diameter (∼ 50–60 nm). Soot with a mobility diameter of ∼ 100 nm generated by the MISG, the lowest size we could achieve, resulted in most cases in similar counting efficiencies as those generated by the different CAST generators at the same particle size, showing that MISG may be a satisfactory – and affordable – option for PN–PTI verification; however, further optimisation will be needed for low-cost soot generators to comply with European PN–PTI verification requirements.

Training and Verification Requirements for Interpretation of Cardiac CT and MRI: AJR Expert Panel Narrative Review.

The use of cardiac CT and MRI is rapidly expanding based on strong evidence from large international trials. The number of physicians competent to interpret cardiac CT and MRI may be unable to keep pace with the increasing demand. Societies and organizations have prescribed training requirements for interpreting cardiac CT and MRI, with recent updates focusing on the increased breadth of competency that is now required due to ongoing imaging advances. In this AJR Expert Panel Narrative Review, we discuss several aspects of cardiac CT and MRI training, focusing on topics that are uncertain or not addressed in existing society statements and guidelines, including determination of competency in different practice types in real-world settings and the impact of artificial intelligence on training and education. The article is intended to guide updates in professional society training requirements and also inform institutional verification processes.

Feasibility Study For Large Scale Thermal Convective Flow Measurements In Building Physics

The Department of Building Physics / Energy-efficient Buildings at the Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau is about to put a novel research-building into commission, the “Small House III”. Among other measurement equipment, a system for volumetric, large-scale, high-resolution flow velocity measurement should be utilized. In this paper, requirements for such a system are detailed, a suitable measurement system is proposed and a feasibility study for the verification of the system requirements is conducted. To this end, a tailored system for large-scale Lagrangian particle tracking (“Shake-the-Box”) is applied to thermal convective flow measurements above an electric radiator close to a wall. As a result, it is found that the designed volumetric velocity measurement system is capable of successfully operating in the design environment without minimal disturbance of the low-speed convection flow. . After a relatively short setup time (about 5 hours, including camera setup, calibration and self-calibration) up to 10000 images at 50 Hz (200 seconds) have been recorded continuously. Shake-the-Box results show a decline of the number of tracked particles from initially 48000 to about 8000 (with a half-life span of about 100 seconds for the helium filled soap bubbles used for seeding). Applying fine scale reconstruction (data assimilation), a vector spacing of 4 mm could be achieved for instantaneous volumetric velocity snapshots. Averaging resulted in a 2 mm vector spacing with an average of 3300 particles per bin and 410 particles per bin for 1 mm vector spacing (with 75% bin overlap). Weaker particles could only be detected in front of a black background. Using a white background (default background for later applications), weak particles could not be detected as well, so the number of detected particles and the measurement volume decreased slightly compared to the black background. Overall, the feasibility study successfully confirmed the readiness of the measurement system for the intended use for “Small House III” measurements.

A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

AbstractThis study presents the results from rapid review of how model‐based systems engineering (MBSE) is utilized in healthcare systems (HSs). We conduct a review of the last twelve years and find that MBSE adoption in HSs is accelerating, with use of various MBSE languages and tools, as well as their integration with other simulation and modeling techniques. We find that similar to engineered systems, the most common MBSE language is systems modeling language (SysML), followed by unified modeling language (UML) and others. Additionally, we observe that MBSE methods are frequently used in conjunction with other analytical techniques, such as simulation and co‐simulations, to analyze and enhance various HS operations, or to assist with making tradeoffs between HS attributes such as quality and cost. Moreover, we provide a non‐exhaustive classification of current research based on two dimensions: healthcare applications and MBSE use cases. Notably, MBSE is being implemented generally with patient‐centric objectives in various HS domains, including IoT‐enabled smart healthcare, clinical medicine, medical device development, healthcare process enhancement, and healthcare facilities management. While the primary MBSE use case involves modeling different aspects of healthcare operations, there is a significant number of studies that pursue requirements engineering, systems analysis, integration, verification and validation, as well as risk analysis and management. Furthermore, we identify two promising research gaps. First, there is a need for the integration of MBSE with state‐of‐the‐art data‐driven analytical methodologies such as hybrid simulation and artificial intelligence techniques. Second, HSs could greatly benefit from representing the cognitive functions and processes of human decision‐makers in the loop, such as healthcare providers (e.g., doctors and nurses), who are instrumental in sustaining the HS performance and functionality. We contend that MBSE and other SE methods and techniques could improve HSs design, operations, and management; while fostering resilience and long‐term sustainability.

Modeling and Verification of Natural Language Requirements based on States and Modes

The relationship between states (status of a system) and modes (capabilities of a system) used to describe system requirements is often poorly defined. The unclear relationship could make systems of interest out of control because of the out of boundaries of the systems caused by the newly added modes. Formally modeling and verifying requirements can clarify the relationship, making the system safer. To this end, an innovative approach to analyzing requirements is proposed. The MoSt language (a Domain Specific Language implemented on the Xtext framework) is firstly designed for requirements modeling and a model validator is realized to check requirements statically. A code generator is then provided to realize the automatic model transformation from the MoSt model to a NuSMV model, laying the foundation for the dynamic checks of requirements through symbolic model checking. Next, a NuSMV runner is designed to connect the NuSMV with the validator to automate the whole dynamic checks. The grammar, the model validator, the code generator, and the NuSMV runner are finally integrated into a publicly available Eclipse-based tool. Two case studies have been employed to illustrate the feasibility of our approach. For each case study, we injected 14 errors. The results show that the static and dynamic checks can successfully detect all the errors.

Emergent knowledge patterns in verification artifacts

AbstractKnowledge graphs have recently been introduced to the verification strategy field successfully representing the complexity of verification in real‐life applications. This format provides a scale‐free analysis of verification strategies compared to the more traditional verification artifacts such as requirement traceability matrices and verification matrices. Complexities can be observed visually and numerically both in terms of the problem scope and the entity interdependencies. In this paper, we retrieve verification strategy information patterns representing different aspects of verification. This is achieved by tapping into the network properties of knowledge graphs. They are dissected to detect knowledge patterns emerging from different parts of the verification artifacts. Similarities and differences between the two verification strategies are explained numerically and semantically. Seemingly unrelated requirements and verification activities are connected through indirect connections, and orthogonalities between independent requirements are analyzed. These findings validate the scalability of verification planning and assessment based on knowledge graphs.

Design of Library Collection Procurement System in Bali

The process of library collection development encompasses several crucial tasks, including identification, selection, acquisition, processing, and distribution of collections to the public. This study endeavors to develop a library collection procurement application focusing on two primary functionalities: selection and procurement. The system accommodates stakeholders, including publishers, librarian profiles, system masters, and other users, while adhering to specific user and system requirements. The design methodology employed in this study leverages the Unified Modeling Language (UML). The development process follows the waterfall method, encompassing stages such as requirements analysis, design, implementation, verification, and maintenance. The resulting application features an intuitive interface for collection procurement, incorporating essential components such as login mechanisms, a comprehensive book collection database, catalog data management, procurement selection tools, recommendation algorithms, catalog selection options, and access to selected catalog data. Employing the CodeIgniter (CI) framework, the system facilitates data filtration and selection processes based on publication year, price, and language criteria. Rigorous system testing, conducted through black box testing methods, confirms the functionality and reliability of the application. This research contributes to addressing the needs of libraries lacking robust collection procurement systems, offering a sophisticated solution to streamline and automate traditionally manual processes.

Implementasi Sistem Informasi Akuntansi Kredit Gadai Emas Di PT Pegadaian

This research was prepared to determine the procedures for granting, repaying, and auctioning gold pawn loans at PT Pegadaian (Persero) Tajur Branch Service Unit as one of the Fast and Secure Credit products offered by the company to the public to be able to obtain loans with collateral in the form of gold. The purpose of this writing is to find out about the Gold Pawn Credit Accounting Information System at PT Pegadaian and how the effectiveness of Internal Control on the Gold Pawn Information System at PT Pegadaian. The procedure for granting a gold pawn starts from a credit application, valuation of collateral, disbursement of credit loan funds, to storage of collateral, followed by settlement of the loan money within a maximum of four months by redemption, installments, or renewal. If the customer is unable to repay later, the collateral will be auctioned with the customer's consent based on the terms and conditions at the beginning of the credit loan process. Based on the results of the review, all of the above procedures have been carried out by the principles of good internal control, including standard procedures that are outlined in the form of flowcharts, there is a separation of duties made in the organizational structure and job descriptions, there are appraisers to overcome the risk of the insufficient value of collateral, there are adequate authorization procedures when granting credit and the auction process, there is verification of credit granting requirements, security of pawn deposits is very adequate, supported by a pawn application system and supporting documents to ensure the achievement of the objectives of granting credit with gold pawning. Keywords: Gold Pawn Credit Procedure, Internal Control, Accounting Information System

Analysis of Candy Tobacco Imitation Products Available Online in the United States.

Youth tobacco use remains a critical public health concern, and childhood use of candy tobacco imitation products (CTIP) is associated with cigarette use among youth. However, no research has examined the full extent of CTIP available for purchase in the United States. We conducted a content analysis of CTIP available on English-language, US-based websites. We identified sites that marketed CTIP utilizing Google and candy retail websites, examining each product for product names, the tobacco product being replicated (eg, cigar and cigarette), manufacturer, candy flavor, images, product rating, pack color, and if the product had packaging that may appeal to youth. We found 66 CTIP available. The most popular CTIP were cigars, with 39 separate products (59%), followed by candy cigarettes-14 products (21%), candy pipes-8 products (12%), and chewing tobacco-5 products (8%). In the 52 products where packaging design was available, 39 (75%) had packaging that may appeal to youth. CTIP, many of which contain packaging appealing to youth, are widely available for purchase online across the United States. These findings could stimulate policy actions, such as removal of CTIP from popular retail websites, labeling of CTIP as potentially dangerous to youth, or age verification requirements for purchasing CTIP. CTIP continues to be sold on the internet despite research indicating candy cigarette product use by youth increases their likelihood of smoking. We conducted research to understand the extent to which CTIP are sold on the internet and whether these products are being marketed to youth. The results provide evidence that some of the largest retail companies in the world continue to sell CTIP, and the majority are sold in packaging that likelyappeals to youth. The results suggest that further research into the market for these products is needed, and regulatory measures should be considered to prevent CTIP from leading to youth tobacco use.

Concept and Feasibility Analysis of the Alba Cubesat Mission

AlbaSat is a 2-Unit CubeSat which is being developed by a student team at the University of Padova. The Alba project aims to design, build, test, launch, and operate the first student CubeSat of the University of Padova, featuring four different payloads. The first goal is to collect data regarding the debris environment in Low Earth Orbit, the second goal is the study of the satellite vibrations, the third one is about CubeSat attitude determination through laser ranging technology, and the fourth goal concerns satellite laser and quantum communication. The Alba CubeSat mission has been selected by the European Space Agency to join the Fly Your Satellite! Design Booster program in December 2022. This paper presents the feasibility study of the Alba CubeSat mission reproduced in the framework of the “Space Systems Laboratory” class of Master of Science in Aerospace Engineering at the University of Padova. In the beginning, a mission requirements definition was conducted. After that, the mission feasibility was considered, with preliminary requirements verification to assess the ability of the spacecraft to survive the space environment, including compliance with Debris Mitigation Guidelines, ground station visibility and minimum operative lifetime evaluation. The Alba mission sets a base for a better understanding of the space environment and its interaction with nanosatellites, and an improvement of the accuracy of debris models. Furthermore, this paper, describing the educational experience and the results achieved, will provide a useful example for future students’ studies on CubeSat mission design.