Testing Workshop Research Articles

Applying Engagement Marketing And Human-Centered Design to Cocreate a Digital Decision Support Tool for Research Participation with LGBTQIA+ Community Members.

We used engagement marketing and human-centered design principles to cocreate a digital decision support tool for research participation with LGBTQIA+ community members to help them make an informed decision about joining the All of Us Research Program. Building on results from the research phase, we conducted eight problem validation and solutioning workshops with 48 LGBTQIA+ community members. Community members validated barriers to engagement with All of Us and brainstormed 47 potential digital solutions. We developed potential solutions into 27 concepts (descriptive text and visual storyboards) and assessed acceptability, appropriateness, feasibility, and engagement in a set of 10 concept testing workshops with 57 community members. We developed one of the highest rated concepts, the "Decide Later Tool," into a prototype and tested it with 45 LGBTQIA+ community members and 14 community advisory group members to assess acceptability, appropriateness, feasibility, usability, and engagement. Prototype testing participants indicated that the tool provides information to help with decision making, provides a clear value or benefit to them, was designed for someone like them, provides the right amount of information, and is easy to use; they also offered constructive feedback to improve it. Across the design and development phases, community members indicated that the process of engaging them demonstrated integrity, competence, dependability, trust, and collaboration; fostered a sense of connection to All of Us; and will enhance future engagement with All of Us. Our next steps are to develop the prototype into a fully functioning web tool and pilot test it in community and health care settings.

Multicomponent Support Program for Secondary Prevention of Stroke Using Digital Health Technology: Co-Design Study With People Living With Stroke or Transient Ischemic Attack.

Few individuals (<2%) who experience a stroke or transient ischemic attack (TIA) participate in secondary prevention lifestyle programs. Novel approaches that leverage digital health technology may provide a viable alternative to traditional interventions that support secondary prevention in people living with stroke or TIA. To be successful, these strategies should focus on user needs and preferences and be acceptable to clinicians and people living with stroke or TIA. This study aims to co-design, with people with lived experience of stroke or TIA (referred to as consumers) and clinicians, a multicomponent digital technology support program for secondary prevention of stroke. A consumer user needs survey (108 items) was distributed through the Australian Stroke Clinical Registry and the Stroke Association of Victoria. An invitation to a user needs survey (135 items) for clinicians was circulated via web-based professional forums and national organizations (eg, the Stroke Telehealth Community of Practice Microsoft Teams Channel) and the authors' research networks using Twitter (subsequently rebranded X, X Corp) and LinkedIn (LinkedIn Corp). Following the surveys, 2 rounds of user experience workshops (design and usability testing workshops) were completed with representatives from each end user group (consumers and clinicians). Feedback gathered after each round informed the final design of the digital health program. Overall, 112 consumers (male individuals: n=63, 56.3%) and 54 clinicians (female individuals: n=43, 80%) responded to the survey; all items were completed by 75.8% (n=85) of consumers and 78% (n=42) of clinicians. Most clinicians (46/49, 94%) indicated the importance of monitoring health and lifestyle measures more frequently than current practice, particularly physical activity, weight, and sleep. Most consumers (87/96, 90%) and clinicians (41/49, 84%) agreed that providing alerts about potential deterioration in an individual's condition were important functions for a digital program. Intention to use a digital program for stroke prevention and discussing the data collected during face-to-face consultations was high (consumers: 79/99, 80%; clinicians 36/42, 86%). In addition, 7 consumers (male individuals: n=5, 71%) and 9 clinicians (female individuals: n=6, 67%) took part in the user experience workshops. Participants endorsed using a digital health program to help consumers manage stroke or TIA and discussed preferred functions and health measures in a digital solution for secondary prevention of stroke. They also noted the need for a mobile app that is easy to use. Clinician feedback highlighted the need for a customizable clinician portal that captures individual consumer goals. Following an iterative co-design process, supported by evidence from user needs surveys and user experience workshops, a consumer-facing app that integrates wearable activity trackers and a clinician web portal were designed and developed to support secondary prevention of stroke. Feasibility testing is currently in progress to assess acceptability and use.

Summary of the 1st International Flaky Test Workshop (FTW 2024)

Test flakiness refers to the non-deterministic behavior of software tests. A flaky test may pass or fail without changes to the test case code or the code under test. This leads to decreased developer productivity, expensive and excessive retrying of tests, bugs masked or missed by persistent flakiness, and loss of developer trust in test suites. Despite the problem receiving increasing attention from both practitioners and researchers over the past decade, no workshop dedicated to flakiness had been established.

Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education

As artificial intelligence (AI) is playing an increasingly important role in our society and global economy, AI education and literacy have become necessary components in college and K-12 education to prepare students for an AI-powered society. However, current AI curricula have not yet been made accessible and engaging enough for students and schools from all socio-economic backgrounds with different educational goals. In this work, we developed an open-source learning module for college and high school students, which allows students to build their own robot companion from the ground up. This open platform can be used to provide hands-on experience and introductory knowledge about various aspects of AI, including robotics, machine learning (ML), software engineering, and mechanical engineering. Because of the social and personal nature of a socially assistive robot companion, this module also puts a special emphasis on human-centered AI, enabling students to develop a better understanding of human-AI interaction and AI ethics through hands-on learning activities. With open-source documentation, assembling manuals and affordable materials, students from different socio-economic backgrounds can personalize their learning experience based on their individual educational goals. To evaluate the student-perceived quality of our module, we conducted a usability testing workshop with 15 college students recruited from a minority-serving institution. Our results indicate that our AI module is effective, easy-to-follow, and engaging, and it increases student interest in studying AI/ML and robotics in the future. We hope that this work will contribute toward accessible and engaging AI education in human-AI interaction for college and high school students.

Potensi Umbi Porang (Amorphophallus oncophyllus Prain) Sebagai Pakan Ayam Broiler

Porang tuber (Amorphophallus oncophyllus Prain) contains glucomannan as a prebiotic source which can be used as animal feed to improve the performance of broiler chickens. The aim of the study was to determine the potential of porang, to analyze the nutritional content and its use as a feed ingredient for broiler chicken rations. The research was conducted at Rumah Mbacang Pancur Batu Village, from April-June 2022. This data was obtained from the results of proximate analysis at the Laboratory of Small Ruminant Instrument Standard Testing Workshop, Sei Putih, Galang. Data is processed manually and presented descriptively. The preparation of the ratio formulation consists of P0 (0% porang flour), P1 (5% porang flour), P2 (10% porang flour) and P3 (15% porang flour). The parameters studied: water content, crude protein (CP), crude fiber (CF), crude fat (EE) and NNFE. The results showed that the results of the proximate analysis on porang flour: moisture 12.92%, ash 8.22%, CP 4.19%, CF 4.79%, EE 0.62%, NNFE 69.26%. The water content and CP met the requirements according to SNI 7939: 2013, namely quality I. The conclusion from the results of formulation preparation was obtained a good composition of the formulation with nutritional content, starter phase: CP 20.08-20.59%, ME 2948.00-2985.08 Kcal/kg, CF 4.11-4.15%, EE 4.25-4.63%, Ca 0.78-0.79%, P 0.61-0.62% and finisher phase: CP 18.34-19.07 %, ME 3017.49-3050.65 Kcal/kg, CF 3.79-3.83%, EE 4.19-4.59%, Ca 0.56-0.68%, P 0.53-0.56%.

Integrated Project Development through Combined Theory and Practices of Core Courses focusing on Software Development Skills: Integrated Learning Framework

The National Education Policy promotes moving from the conventional content-heavy and memorization learning practice towards holistic learning/integrated learning. It imparts a creative and multidisciplinary curriculum that focuses equally on curriculum and assessment. All educational establishments assess students using written examinations, quizzes, seminars, term paper writing, and course projects. A semester typically includes 4-5 courses, and students must earn credits for these courses by scoring a good Cumulative Grade Point Average (CGPA). As course projects offer depth knowledge/holistic learning/lifelong learning of a course for the student, many courses include course projects as one of the activities in the course. If all the courses are intended to include course projects as a mandatory pedagogy, it will be difficult for students to acquire in-depth knowledge and required skills while also dealing with stress. So we are proposing an integrated learning framework by applying the theory and practices of two core courses- Software Engineering and Web Technologies to develop a web application. This integrated learning focuses on developing software development and software testing skills in computer science for undergraduate students pursuing a bachelor of engineering degree. This framework alleviated the pressure on students during placement and created job opportunities in software development. The framework consists of three important phases- The first phase includes the identification of the problem as a need for customers, writing requirements and analyzing the same. Students apply modular design principles and break down the codebase into distinct modules. This technique enhances code organization, reusability, and maintainability. The second phase focused on developing the front end by harnessing the power of Angular, a leading web framework, to craft a sleek and interactive user interface. The backend is built using Node.js, which serves as the foundation, enabling the software system to cater to highperformance server environments. These modules communicated seamlessly through well-defined APIs, facilitating the integration of various components within the application, ultimately delivering a seamless and responsive user experience. An industry expert conducted a workshop on Angularsoftware testing workshop was conducted for students by industry experts to expose the students to designing test cases, test plans, and testing strategies. The hands-on experience on testing tools was provided during the workshop. Faculty reviews are conducted on each phase, and rubrics-based assessment is done on each phase. Approximately sixty teams created web-based applications for real-world scenarios. Positive aspects of the framework in feedback indicated that more than 87% of the students agreed that they could apply Software engineering principles and practices such as requirements management. modular design and testing in web applications. Also, more than 85% of students acquire skills from code-to-web design mastery by developing web applications in Angular Node.js and backend implementation. This framework helped to improve teamwork, presentation and communication skills. Confidence in software development improved to a greater extent. The design and implementation of the framework met the stated outcome of the courses. The student's academic performance improved by 10% compared to the previous year when students were not involved in the integrated project development. Keywords— Framework, learning, practices, project, skills, technology, testing, web

Bio-Experiential Technology to Support Persons With Dementia and Care Partners at Home (TEND): Protocol for an Intervention Development Study.

Alzheimer disease and related dementias are debilitating and incurable diseases. Persons with dementia and their informal caregivers (ie, dyads) experience high rates of emotional distress and negative health outcomes. Several barriers prevent dyads from engaging in psychosocial care including cost, transportation, and a lack of treatments that target later stages of dementia and target the dyad together. Technologically informed treatment and serious gaming have been shown to be feasible and effective among persons living with dementia and their care partners. To increase access, there is a need for technologically informed psychosocial interventions which target the dyad, together in the home. This study aims to develop the toolkit for experiential well-being in dementia, a dyadic, "bio-experiential" intervention for persons with dementia and their caregivers. Per our conceptual model, the toolkit for experiential well-being in dementia platform aims to target sustained attention, positive emotions, and active engagement among dyads. In this paper, we outline the protocol and conceptual model for intervention development and partnership with design and development experts. We followed the National Institutes of Health (NIH) stage model (stage 1A) and supplemented the model with principles of user-centered design. The first step includes understanding user needs, goals, and strengths. We met this step by engaging in methodology and definition synthesis and conducting focus groups with dementia care providers (N=10) and persons with dementia and caregivers (N=11). Step 2 includes developing and refining the prototype. We will meet this step by engaging dyads in up to 20 iterations of platform β testing workshops. Step 3 includes observing user interactions with the prototype. We will meet this step by releasing the platform for feasibility testing. Key takeaways from the focus groups include balancing individualization and the dyadic relationship and avoiding confusing stimuli. As of September 2023, we have completed focus groups with providers, persons with dementia, and their caregivers. Additionally, we have conducted 4 iterations of β testing workshops with dyads. Feedback from focus groups informed the β testing workshops; data have not yet been formally analyzed and will be reported in future publications. Technological interventions, particularly "bio-experiential" technology, can be used in dementia care to support emotional health among persons with a diagnosis and caregivers. Here, we outline a collaborative intervention development process of bio-experiential technology through a research, design, and development partnership. Next, we are planning to test the platform's feasibility as well as its impact on clinical outcomes and mechanisms of action. DERR1-10.2196/52799.

6.I. Workshop: Assessing health system resilience to future shocks: a new tool for policy making

Abstract The COVID-19 pandemic has highlighted the importance of health system resilience, the ability of a health system to prepare for, manage and learn from a shock. Other recent adverse events, such as economic crises, conflict, migration and extreme weather have demonstrated how a wide range of shocks can challenge health systems. Health systems vary in their ability to respond to shocks and other challenges, mitigate adverse impacts, and learn from previous experience. While emergency preparedness and planning is a well established component of health system governance in many countries, no methodology currently exists to systematically test the resilience of a health system to a broad range of shocks. In this workshop, the European Observatory on Health Systems and Policies (OBS) and the Organization for Economic Cooperation and Development (OECD) share learnings from an ongoing project with the European Commission (EC) to help EU Member States assess and understand the resilience of their health system to a wide range of future shocks. The resilience testing methodology draws on two conceptual frameworks: the Health System Performance Assessment Framework for Universal Health Coverage (HSPA Framework for UHC) and the Shock Cycle. A specific shock scenario is chosen from a broad range of possible shocks to hypothetically challenge a given health system to its limits. This highlights key structural strengths and weaknesses of the health system. The country-led process culminates in a resilience test workshop that brings together policy makers, civil servants and other relevant experts. The test day is supported by an expert facilitator and research team, who provide background knowledge and structure the test day. Results of the resilience test include an understanding of the health system strengths and vulnerabilities specific to the shock. The test day may also anticipate spill-overs effects to other health system functions, and contribute towards a participatory approach to improve preparedness going forward. The objectives of the workshop are to: - present the new methodology for resilience testing; - showcase country examples that have piloted the methodology; - engage workshop participants in discussion towards a common approach to health system resilience strengthening. The workshop consists of presentations (40 minutes) and audience interaction (20 minutes). The presentations will cover the methodology, pilot countries’ experience, and an EU view of the resilience testing process. The audience interaction will consist of moderated discussion with an element of a digital feedback and Q&amp;A (if settings allow). Discussion will reflect on usability, potential adaptations to suit various national settings, and operationalisation for policy makers so that countries can prepare more systematically for future shocks and long-term challenges. Key messages • Resilience testing is a novel and systematic method to engage policy makers, understand health system vulnerabilities and identify weaknesses requiring action. • Country-led pilots show that shock scenarios can be employed to reveal structural vulnerabilities, which can be addressed to enhance health system resilience.

Managing Knowledge Transfer in Innovative Complex Systems Development: Case Study of Renewable Energy Project in the Oil and Gas Industry

AbstractMany oil and gas companies are looking for new opportunities in the renewable energy market. New energy systems, especially those with subsea large‐scale hydrogen storage functions, have become an important part of the global energy transition. Oil and gas companies, like the case company, utilize experience and technologies from the subsea oil and gas sector to develop large‐scale hydrogen storage systems. In systems development, there is a need for efficient knowledge transfer from the current team to new stakeholders joining the team. To meet this need, this research investigates how to use A3 Architectural Overviews (A3AOs) to facilitate the efficient knowledge transfer between the current team and the future engineer team in the renewable energy project of the case company. Drawing from the system engineering methodology, we first identified key stakeholders and their needs and studied the current knowledge transfer situation. The solution based on A3AOs has been developed and optimized in this study. This final solution has been verified and validated by the testing workshop, survey, and expert evaluation.

Development and evaluation of a co-designed website for delivering interactive self-directed cardiac rehabilitation.

The aim of this study is to report on the development and evaluation of the co-designed website for delivering interactive self-directed cardiac rehabilitation (CR). Multi-method user experience design framework was used to co-design the web application and complete usability testing. Participants were recruited based on their eligibility for CR. Thematic analysis collected the participants' design specifications and lived experiences. The System Usability Scale (SUS) was administered at the completion of the website development and the usability testing workshops. This collected the participants' perceptions of the website's effectiveness, efficiency, and their satisfaction. Website development and usability testing workshops included 39 and 35 participants with a mean age of 66.5 (SD 11.7) and 68.6 (SD 11.2), respectively. Both genders were equally represented across both workshops with 19 (48.7%) and 16 (45.7%) women. Workshop themes guided the design process. The mean SUS scores increased from 66.7 (SD 16.8) to 73.6 (21), P = 0.26. Easiness of use (P = 0.03), integration of the website functions (P ≤ 0.001), and consistency (P = 0.038) significantly improved from website development to usability testing. The proportion of participants rating it as excellent increased from 20.5% to 42.9%, P = 0.11. The evolution of our CR website development was completed with an improvement in usability. Upcoming evaluation of this intervention will report on its effectiveness.

JUGE: An infrastructure for benchmarking Java unit test generators

SummaryResearchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various languages (e.g., Java, C#, or Python) and various platforms (e.g., desktop, web, or mobile applications). The generators exhibit varying effectiveness and efficiency, depending on the testing goals they aim to satisfy (e.g., unit‐testing of libraries versus system‐testing of entire applications) and the underlying techniques they implement. In this context, practitioners need to be able to compare different generators to identify the most suited one for their requirements, while researchers seek to identify future research directions. This can be achieved by systematically executing large‐scale evaluations of different generators. However, executing such empirical evaluations is not trivial and requires substantial effort to select appropriate benchmarks, setup the evaluation infrastructure, and collect and analyse the results. In this Software Note, we present ourJUnit Generation Benchmarking Infrastructure(JUGE) supporting generators (search‐based, random‐based, symbolic execution, etc.) seeking to automate the production of unit tests for various purposes (validation, regression testing, fault localization, etc.). The primary goal is to reduce the overall benchmarking effort, ease the comparison of several generators, and enhance the knowledge transfer between academia and industry by standardizing the evaluation and comparison process. Since 2013, several editions of a unit testing tool competition, co‐located with the Search‐Based Software Testing Workshop, have taken place whereJUGEwas used and evolved. As a result, an increasing amount of tools (over 10) from academia and industry have been evaluated onJUGE, matured over the years, and allowed the identification of future research directions. Based on the experience gained from the competitions, we discuss the expected impact ofJUGEin improving the knowledge transfer on tools and approaches for test generation between academia and industry. Indeed, theJUGEinfrastructure demonstrated an implementation design that is flexible enough to enable the integration of additional unit test generation tools, which is practical for developers and allows researchers to experiment with new and advanced unit testing tools and approaches.

Developing a smart tool for integrated climate action planning (ICLAP 2050) in Asia-Pacific Cities

In light of the growing global environmental challenges, smart cities need to serve as testing workshops or labs to smartly tackle complex cross-sectional issues like jobs, seamless mobility, safety and security, sustained growth, while responding to the impending climate change too. This necessitates for developing a smart model or tool that integrates such varied but crucial climate concerns of a city into its direct decision-making and long-term planning. In this research, we conduct a literature review to have an overview of the state-of-the-affairs on urban climate planning in Asia-Pacific Cities covering China, Japan, India, Philippines, Singapore and Thailand. This is followed by an intensive theoretical understanding on the need of having a smart tool in urban climate action planning. This includes the study of recent urban climate metrics and tools, their different typologies based on key purpose, method, sectoral and geographical scope, and challenges and gaps in formulating smart urban climate tools. We then introduce the conceptual framework for integrated climate action planning (ICLAP) tool that transects spatial, statistical and bibliometric methods. We establish applicability of ICLAP in case of Indian cities by discerning climate vulnerabilities, GHG trends and relevant urban climate solutions. The paper eventually culminates with major scientific findings and policy recommendations, essentially underscoring more intensive and wider application of ICLAP like smart urban climate tools in local decision making and national urban policies duly supported by international scientific collaborations.

The design and development of an experience measure for a peer community moderated forum in a digital mental health service.

Online digital mental health communities can contribute to users' mental health positively and negatively. Yet the measurement of experience, outcomes and impact mechanisms relating to digital mental health communities is difficult to capture. In this paper we demonstrate the development of an online experience measure for a specific children and young people's community forum inside a digital mental health service. The development of the Peer Online Community Experience Measure (POCEM) is informed by a multi-phased design: (i) item reduction through Estimate-Talk-Estimate modified Delphi methods, (ii) user testing with think-aloud protocols and (iii) a pilot study within the digital service community to explore observational data within the platform. Experts in the field were consulted to help reduce the items in the pool and to check their theoretical coherence. User testing workshops helped to inform the usability appearance, wording, and purpose of the measure. Finally, the pilot results highlight completion rates, differences in scores for age and roles and "relate to others", as the most frequent domain mechanism of support for this community. Outcomes frequently selected show the importance of certain aspects of the community, such as safety, connection, and non-judgment previously highlighted in the literature. Experience measures like this one could be used as indicators of active therapeutic engagement within the forum community and its content but further research is required to ascertain its acceptability and validity. Multi-phased approaches involving stakeholders and user-centred design activities enhances the development of digitally enabled measurement tools.

Impact of OSCE test workshop on reducing anxiety in anesthesia and operating room students

Background: Objective Structural clinical evaluation (OSCE) is newly emerging evaluation methods that has been used in recent years in the medical and paramedical fields. However, one of its disadvantages is that it causes anxiety, which, in turn, reduces the effectiveness of the test. Therefore, the main purpose of the present study was to evaluate the OSCE test familiarity workshop effectiveness on test anxiety in anesthesia students and operating room of Ilam University of Medical Sciences, Iran. Methods: This research was of quasi-experimental study nature performed on 72 students who were studying anesthesia and operating room. In doing so, the students in each class were randomly assigned into control and intervention groups. Then, a workshop was held one hour before the test to familiarize students with OSCE stations, how to ask questions and how to answer students in the intervention group. Then, the Spielberger questionnaire was also completed. Besides, data analysis was performed using SPSS 21 statistical software (Chicago, IL, USA). Results: The highest frequency (52.77%) was related to anesthesia participants, of whom 58.33% were girls. The mean score of anxiety before the intervention was 48.15 7 7.15 which decreased to 30.80 98 6.98 after the intervention (P &lt;0.042).

Design of Air Quality Monitoring System in Battery Testing Workshop

In the battery test process, the gas data index in the test environment is very important. The system adopts the relevant air index sensor, based on the STM32F103C8T6 minimum system single-chip microcomputer as the core chip, to build the air quality monitoring system design in the battery test workshop. Use various types of sensors related to the main gas contained in the environment in the environment to collect the main gas data in the battery test workshop environment, and display the relevant environmental data in the configured OLED display screen, and send the relevant data to the user through the WIFI module to realize real-time monitoring of the environmental state. This air quality testing system has a wide range of application, excellent performance, and convenient maintenance. It can be applied to the environmental gas test in the test workshop under many special circumstances, which has certain practical value and research significance.

Values-Led Design Cards: Building Ethically Engaged Archaeology and Heritage Experiences

The agenda for an engaged and impactful archaeology has been set out emphatically in a variety of recent reports, positioning archaeology and heritage as important sources of public value and social benefit. While many ascribe to these aims, how to put them into practice in concrete terms remains a real challenge. Tools, methods and methodologies developed for the wider research community as it engages with the “impact agenda” at large have been adapted and applied in archaeological and heritage practice with variable success. In this paper, we discuss the creation of a values-led, card-based design toolkit and the considerations involved in customising it for use by archaeology and heritage sector practitioners. We evaluate reflexive feedback from participants in a toolkit testing workshop, together with our own reflections on the workshop experience. Building on these, we assess the potential and limitations of the toolkit and its underpinning values-led design theory to generate critically engaged archaeological and heritage experiences.

The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool

Cooking with polluting and inefficient fuels and technologies is responsible for a large set of global harms, ranging from health and time losses among the billions of people who are energy poor, to environmental degradation at a regional and global scale. This paper presents a new decision-support model-the BAR-HAP Tool-that is aimed at guiding planning of policy interventions to accelerate transitions towards cleaner cooking fuels and technologies. The conceptual model behind BAR-HAP lies in a framework of costs and benefits that is holistic and comprehensive, allows consideration of multiple policy interventions (subsidies, financing, bans, and behavior change communication), and realistically accounts for partial adoption and use of improved cooking technology. It incorporates evidence from recent efforts to characterize the relevant set of parameters that determine those costs and benefits, including those related to intervention effectiveness. Practical aspects of the tool were modified based on feedback from a pilot testing workshop with multisectoral users in Nepal. To demonstrate the functionality of the BAR-HAP tool, we present illustrative calculations related to several cooking transitions in the context of Nepal. In accounting for the multifaceted nature of the issue of household air pollution, the BAR-HAP model is expected to facilitate cross-sector dialogue and problem-solving to address this major health, environment and development challenge.

Shuffle, Cut, and Learn: Crypto Go, a Card Game for Teaching Cryptography

Cryptography is the mathematical core of information security. It serves both as a source of hard computational problems and as precise language allowing for the formalization of sound security models. While dealing with the mathematical foundations of cybersecurity is only possible in specialized courses (tertiary level and beyond), it is essential to promote the role of mathematics in this field at early educational stages. With this in mind, we introduce Crypto Go, a physical card game that may be used both as a dissemination and as an educational tool. The game is carefully devised in order to entertain and stimulate players, while boosting their understanding on how basic cryptographic tools work and interplay. To get a preliminary assessment of our design, we collected data from a series of test workshops, which engaged over two hundred players from different ages and educational backgrounds. This basic evaluation indeed confirms that Crypto Go significantly improves students’ motivation and has a positive impact in their perception and understanding of the field.

Study on the uneven distribution of vertical space humidity in a rocket testing workshop

In view of the problem of inconsistent air-conditioning delivery and uneven distribution of vertical space humidity in a rocket testworkshop at a coastal launch site, this paper analyzes the cause and mechanism of the problem based on the characteristics of high space air distribution, test plant structure and air-conditioning system. And puts forward the specific measures such as adjusting high-rise space air delivery target, optimizing the air-conditioning control strategy and improving the unit’s dehumidification capacity. These measures provide support for the solution of the problem and the optimal design and transformation of air-conditioning.

Improved Pseudo-Random Fault Coverage Through Inversions: a Study on Test Point Architectures

This article analyzes and rationalizes the capabilities of inversion test points (TPs) when implemented in lieu of traditional test point architectures. With scaling transistor density, logic built-in self-test (LBIST) quality degrades and additional efforts must keep LBIST quality high. Additionally, delay faults must be targeted by LBIST, but delay faults can be masked when using control-0/1 (i.e., traditional) TP architectures. Although inversions as TPs have been proposed in literature, the effect inversion TPs have on fault coverage compared to traditional alternatives has not been explored. This study extends work previously presented in the North Atlantic Test Workshop (NATW’19) and finds both stuck-at and delay fault coverage improves under pseudo-random tests using inversion TPs, and extended data collection finds noteworthy trends on the effectiveness of TP architectures.