Integration Testing Research Articles

Long Run and Short Run Relationships Between Sensex Macro Economic Variables

This study delves into the intricate relationships between the Sensex, India's premier stock market index, and key macroeconomic variables, highlighting both long-term and short-term interactions. Macroeconomic variables such as GDP, inflation, interest rates, and foreign exchange reserves are analysed to understand their impact on the Sensex. Additionally, the study considers microeconomic variables, providing a comprehensive view of economic dynamics. By utilizing econometric methods like Vector Auto regression (VAR) and Johansen co integration tests, the research aims to distinguish between immediate economic shocks and sustained economic trends affecting the Sensex. The investigation focuses on Aditya Birla Money as a case study to explore financial market dynamics. The identified research gap emphasizes the need to consider the influence of emerging digital financial assets and fin tech innovations on traditional macroeconomic variables and market stability. By addressing this gap, the study aims to provide a deeper understanding of how technological advancements and digital transformation interact with established economic indicators to affect financial markets. The primary objectives include examining the long-term and short-term relationships between the Sensex and key macroeconomic indicators, identifying the most significant factors influencing Sensex performance, and assessing the predictive power of these variables. Data collection involves both primary sources, such as interviews with financial experts, and secondary sources, including financial databases. The study's findings are expected to offer valuable insights for investors, policymakers, and financial analysts, aiding in informed decision-making and enhancing strategies for risk management in the ever-evolving economic landscape.

Using Pupillometry to Evaluate Balance in Patients Implanted with a Cochleo-Vestibular Implant.

Maintaining balance comes naturally to healthy people. In subjects with vestibulopathy, even when compensated, and especially if it is bilateral, maintaining balance requires cognitive effort. Pupillometry is an established method of quantifying cognitive effort. Background/Objectives: We hypothesized that pupillometry would be able to capture the increased effort required to maintain posture in subjects with bilateral vestibulopathy in increasingly difficult conditions. Additionally, we hypothesized that the cognitive workload during balance tasks, indexed by pupil size, would decrease with the activation of the BionicVEST cochleo-vestibular implants. Methods: Subjects with a cochleo-vestibular implant as of March 2023 were recruited, excluding those with ophthalmological issues that precluded pupillometry. Pupillometry was performed using a validated modified videonystagmography system. Computed dynamic posturography and a Modified Clinical Test of Sensory Integration on Balance were performed while the pupil was recorded. Tests were first performed after 24 h of deactivating the vestibular component of the implant. Thereafter, it was reactivated, and after 1 h of rest, the tests were repeated. The pupil recording was processed using custom software and the mean relative pupil diameter (MRPD) was calculated. Results: There was an average of 10.7% to 24.2% reduction in MRPD when the vestibular implant was active, with a greater effect seen in tasks of moderate difficulty, and lesser effect when the task was easy or of great difficulty. Conclusions: Despite technical challenges, pupillometry appears to be a promising method of quantifying the cognitive effort required for maintaining posture in subjects with bilateral vestibulopathy before and after vestibular implantation.

IMPAIRED GAIT AND BALANCE DISORDERS AS RISK MARKERS FOR FALLS IN CHRONIC CEREBRAL ISCHEMIA

The main clinical syndromes of chronic cerebral ischemia (CCI) are impaired gait and balance disorders, which increase risks for falls. The objective of the study is to analyze correlation between impaired gait and postural instability to determine risk markers for falls in CCI patients. Materials and Methods. We examined 104 CCI patients (15 men and 89 women, median age 70 (63; 76) years). The patients did not have significant functional limitations in daily life (modified Rankin scale, 0–2 points). Thirteen patients (13 %) had a history of acute cerebrovascular accidents, thirty-seven patients (36 %) had a history of falls. Moderate cognitive impairment was detected in 53 patients (51 %). Impaired gait and balance disorders were assessed according to Tinetti test, Berg balance scale, and stabilometric platform. Statistica 13.0, SPSS 22 was used for statistical data processing. Results. According to the Tinetti test, impaired gait was detected in 101 patients (97 %), balance disorders were found in 32 patients (31 %). According to the Berg balance scale, most patients had a low risk for falls. Stabilometry showed a decrease in the limits of stability, mainly forward. Discriminant analysis revealed that significant predictors of falls in CCI patients are the “forward” limit of stability (<59 points), female gender, age (>67 y.o.), depression (>9 points, HADS), sway index (eyes closed) in the clinical test for sensory integration and balance (>0.855), balance score for the Tinetti test (<15 points), and a history of acute cerebrovascular accident. Conclusion. Stabilometry along with clinical assessment can improve the effectiveness of determining the risk group for falls in CCI patients.

Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing

Quantum computing has emerged as a promising field with the potential to revolutionize various domains by harnessing the principles of quantum mechanics. As quantum hardware and algorithms continue to advance, developing high-quality quantum software has become crucial. However, testing quantum programs poses unique challenges due to the distinctive characteristics of quantum systems and the complexity of multi-subroutine programs. This article addresses the specific testing requirements of multi-subroutine quantum programs. We begin by investigating critical properties by surveying existing quantum libraries and providing insights into the challenges of testing these programs. Building upon this understanding, we focus on testing criteria and techniques based on the whole testing process perspective, spanning from unit testing to integration testing. We delve into various aspects, including IO analysis, quantum relation checking, structural testing, behavior testing, integration of subroutine pairs, and test case generation. We also introduce novel testing principles and criteria to guide the testing process. We conduct comprehensive testing on typical quantum subroutines, including diverse mutants and randomized inputs, to evaluate our proposed approach. The analysis of failures provides valuable insights into the effectiveness of our testing methodology. Additionally, we present case studies on representative multi-subroutine quantum programs, demonstrating the practical application and effectiveness of our proposed testing principles and criteria.

Integrating scenario- and contract-based verification for automated vessels

Scenario-based verification defines the current state of the art for examining a vessel’s control systems for reliability and safety. However, software updates after release can only be covered to a limited extent. To take changes to a deployed system into account, the design and test phase must be harmonized with the operational phase. For all phases, regulatory, technical and safety requirements provide the scope to which the development process and the scenario-based tests need to be aligned and whose specifications the System under Test (SuT) must adhere to during operation. For this reason, a procedure is needed that converts the requirements into a format that can be utilized across all phases and measured in a structured manner comparing the original system to the updated version. This work does so by combining scenario-based verification methods with formal composition and monitoring techniques based on contract-based design into an integrated development approach. It is shown how safety requirements can be transferred into a Verification Descriptor that in turn provides the foundation for the division into model-based system development, contract-based virtual integration testing and a scenario-based test environment. For the entire lifecycle of the System under Test (SuT) to be included, the extended scenario and contract descriptors are carried forward up to the operational phase, such that the previously defined properties of the SuT can be monitored and validated during runtime. The approach is designed alongside a minimal-viable system and evaluated on an actual implementation of a safety-critical maritime LiDAR-based positioning system.

Inspection of Foundation Structures with Pile Integrity Test (PIT) of Steel Tower Building

Pile Integrity Test (PIT) is a tool from Pile Dynamic Inc. (PDI), consisting of a mini-computer, accelerometer, and hammer. Integrity testing on piles using PIT equipment is carried out by analyzing one-dimensional wave propagation provided by hammer blows on the pile head. An accelerometer sensor installed on the pole will read the reflection that occurs during wave propagation on the pole head. The wave propagation speed that occurs in concrete will range from 3,500 m/s to 4,200 m/s. The PIT test results indicate the reduction in impedance in the pole by the BTA value, which compares the theoretical impedance value to the residual impedance. From the results of the Pile Integrity Test carried out at three pile points, it was found that all samples experienced a reduction in impedance around a depth of ± 3.0 meters below the sensor with BTA values of 75%, 78%, and 72% and fell into the damaged category. The reduction in impedance at a depth of 3 meters is most likely part of the connection between piles because one pile point uses 2–3 spun piles, with the length of 1 spun pile being 9 meters. From the results of visual observations, it can be seen that the condition of the existing spun pile and pile cap is still quite good.

Physical Therapy and Aminopyridine for Downbeat Nystagmus Syndrome: A Case Report.

Individuals with downbeat nystagmus (DBN) syndrome present with DBN, dizziness, blurred vision, and unsteady gait. Pharmacological intervention with 4-aminopyridine (4-AP) may be effective in improving oculomotor function, but there is minimal evidence to date that it improves gait. This suggests the possible benefit of combining pharmacotherapy with physical therapy to maximize outcomes. This case report documents improvements in gait and balance after physical therapy and aminopyridine (AP) in an individual with DBN syndrome. The patient was a 70-year-old man with a 4-year history of worsening dizziness and imbalance, diagnosed with DBN syndrome. He demonstrated impaired oculomotor function, dizziness, and imbalance, which resulted in falls and limited community ambulation. The patient completed a customized, tapered course of physical therapy over 6months. Outcome measures included the 10-meter walk test, the Timed Up and Go (TUG), the Dynamic Gait Index (DGI), and the modified clinical test of sensory integration and balance. Improvements exceeding minimal detectable change were demonstrated on the TUG and the DGI. Gait speed on the 10-meter walk test did not change significantly, but the patient was able to use a cane to ambulate in the community and reported no further falls. Controlled studies are needed to explore the potential for AP to augment physical therapy in people with DBN syndrome. Physical therapists are encouraged to communicate with referring medical providers about the use of AP as pharmacotherapy along with physical therapy for individuals with DBN syndrome.

Highly Thermally Conductive Super-Aligned Boron Nitride Nanotube Films for Flexible Electronics Thermal Management.

Flexible electronics toward high integration, miniaturization, and multifunctionality, leading to a dramatic increase in power density. However, the low thermal conductivity of flexible substrates impedes efficient heat dissipation and device performance improvement. In this work, we propose a template-assisted chemical conversion strategy for obtaining boron nitride nanotube (BNNT) films with high thermal conductivity and great flexibility. Aligned carbon nanotube (CNT) films have been adopted as templates; a low-temperature chemical conversion followed by a high-temperature annealing has been carried out to produce a highly ordered BNNT film. Benefiting from the high orientation order, the BNNT film exhibits an exceptional thermal conductivity of 45.5 W m-1 K-1 and presents excellent heat dissipation capability, much superior to the commonly used polyimide film. Furthermore, the BNNT film demonstrated excellent flexibility and high insulation resistance. The test of integration with film resistors demonstrated its potential as a thermally conductive substrate for electronics cooling. This work provides a solution for the effective thermal management of flexible electronics.

RELAP5-3D validation studies based on the High Temperature Test facility

In the spring and summer of 2019, experiments were conducted at the High Temperature Test Facility (HTTF) that form the basis of an upcoming high-temperature gas-cooled reactor (HTGR) thermal hydraulics (T/H) benchmark. HTTF is an integral effects test facility for HTGR T/H modeling validation. This paper presents RELAP5-3D models of two of those experiments: PG-27, a pressurized conduction cooldown (PCC); and PG-29, a depressurized conduction cooldown (DCC). These models used the RELAP5-3D model of HTTF originally developed by Paul Bayless as a starting point. The sensitivity analysis and uncertainty quantification code, RAVEN was used to perform calibration studies for the steady-state portion of PG-27. We developed four PG-27 calibrations based on steady-state conditions. These calibrations all used an effective thermal conductivity equal to 36 % of the measured thermal conductivity, but they differed with respect to the frictional pressure drops and radial conduction models. These models all captured the trends in steady-state temperature distributions and transient temperature behavior well. All four calibrations show room for improvement in predicting the transient temperature rise. The smallest error in temperature rise during the transient was a 21 % underprediction, and the largest was a 48 % underprediction. The errors in transient temperature rise are largely a result of a mismatch in power density between the RELAP5-3D model and the experiment due to the location of active heater rods along the boundary between heat structures in the model. The best of these calibrations was applied to PG-29 to model the DCC. Once again, temperatures during the transient were underpredicted but trends in temperature were captured. The RELAP5-3D model captured trends in the data but could not reproduce measured temperatures exactly. This result is not attributed to deficiencies in the experimental data or to RELAP5–3D itself. Rather, this result likely arises due to the some of the assumptions and decisions made when the RELAP5-3D model was first developed, prior to the execution of HTTF experiments. An agreement in prediction of temperature trends but challenges reproducing HTTF temperatures within measurement uncertainty is consistent with previous analyses of HTTF in the literature. Future RELAP5-3D validation activities centered around HTTF may be able to provide greater insight into the code’s capabilities for HTGR modeling with a more finely nodalized model.

Bitmap-Based Security Monitoring for Deeply Embedded Systems

Deeply embedded systems powered by microcontrollers are becoming popular with the emergence of Internet of Things (IoT) technology. However, these devices primarily run C/C++ code and are susceptible to memory bugs, which can potentially lead to both control data attacks and non-control data attacks. Existing defense mechanisms (such as control flow integrity (CFI), data flow integrity (DFI) and write integrity testing (WIT), etc.) consume a massive amount of resources, making them less practical in real products. To make it lightweight, we design a bitmap-based allowlist mechanism to unify the storage of the runtime data for protecting both control data and non-control data. The memory requirements are constant and small, regardless of the number of deployed defense mechanisms. We store the allowlist in the TrustZone to ensure its integrity and confidentiality. Meanwhile, we perform an offline analysis to detect potential collisions and make corresponding adjustments when if happens. We have implemented our idea on an ARM Cortex-M based development board. Our evaluation results show a substantial reduction in memory consumption when deploying the proposed CFI and DFI mechanisms, without compromising runtime performance. Specifically, our prototype enforces CFI and DFI at a cost of just 2.09% performance overhead and 32.56% memory overhead on average.

Analysis of AP1000 Small-Break Loss-of-Coolant Accident Using Reactor Transient Simulator

The Westinghouse Electric Company’s Advanced Passive Reactor (AP1000) is characterized by the incorporation of passive safety systems (PSSs) designed to ensure core cooling during transient events. The assessment of PSSs requires evaluation of their performance through a combination of experiments and simulations employing various thermal-hydraulic codes. In addition, detailed evaluation of PSSs for a specific reactor system transient analysis such as loss-of-coolant-accident analysis supports understanding representative integral effects test facility development and the further evolution model development and assessment process. Developing a reactor system code is a complex and time-consuming process that requires significant engineering expertise and effort. It can take several months to even years to complete in the early stages of reactor system design and analysis. However, this process can be expedited through the use of transient simulator models for similar reactor systems, which can be used for lesson learning and training purposes. This study uses the Personal Computer Transient Analyzer (PCTRAN) code. The main advantage of PCTRAN is its ease of use and ability to run faster than real time. This study presents the results obtained for a small-break loss-of-coolant accident (SBLOCA) for two breaks using the full version (licensed) of PCTRAN. The purpose of this investigation is to evaluate the overall system behavior during the postulated SBLOCA event as well as assess the capability of the PCTRAN code to reproduce the system response during transient events. The obtained results were compared with the Westinghouse NOTRUMP system code. The PCTRAN code proved to be reliable in predicting the qualitative behavior of the system in both transient cases. As for the system response, it was found that it is contingent on the activation time of the PSSs. The differences in reactor coolant system pressure between the two codes were attributed to the critical flow model and simplification of mass and energy balance. Despite PCTRAN’s limitations, it can still provide a reasonable prediction of various reactor parameters such as pressure, mass flow rate, and void fraction during a SBLOCA scenario. It is worth noting that PCTRAN currently employs a bulk approach similar to that of the Modular Accident Analysis Program (MAAP) and MELCOR codes. However, the upcoming version of PCTRAN will include an artificial intelligence–based detection and accident prevention system, as well as different models for different reactor components. Consequently, PCTRAN has the potential to be upgraded to match the system thermal-hydraulic codes of the U.S. Nuclear Regulatory Commission and become more widely used in cybersecurity to safeguard nuclear power plants from cyberattacks.

Adoption of automated software engineering tools and techniques in Thailand

Readiness for the adoption of Automated Software Engineering (ASE) tools and techniques can vary according to the size and maturity of software companies. ASE tools and techniques have been adopted by large or ultra-large software companies. However, little is known about the adoption of ASE tools and techniques in small and medium-sized software enterprises (SSMEs) in emerging countries, and the challenges faced by such companies. We study the adoption of ASE tools and techniques for software measurement, static code analysis, continuous integration, and software testing, and the respective challenges faced by software developers in Thailand, a developing country with a growing software economy which mainly consists of SSMEs (similar to other developing countries). Based on the answers from 103 Thai participants in an online survey, we found that Thai software developers are somewhat familiar with ASE tools and agree that adopting such tools would be beneficial. Most of the developers do not use software measurement or static code analysis tools due to a lack of knowledge or experience but agree that their use would be useful. Continuous integration tools have been used with some difficulties. Lastly, although automated testing tools are adopted despite several serious challenges, many developers are still testing the software manually. We call for improvements in ASE tools to be easier to use in order to lower the barrier to adoption in small and medium-sized software enterprises (SSMEs) in developing countries.

Static and dynamic balance in children in the context of school readiness

BackgroundSchool readiness is the ability to perform coordinated motor tasks that are used in the activities of daily living in the context of starting compulsory education. It covers areas such as physical, sensorimotor, cognitive, emotional, and social development. ObjectiveThe aim of this study is to evaluate the level of balance in children preparing to start school based on selected clinical observation tests of sensory integration. MethodThe evaluation were conducted on 6-year-old children in 2019. The study included 75 girls and boys. Schilder test, dynamic balance, static balance, and gravitational insecurity tests were used to assess balance. Basic descriptive statistics were used to analyze the collected material. ResultsIn tests of walking foot by foot on a marked line (dynamic balance) low levels of dynamic balance were recorded in most 6-year-old participants. Medium to low levels of static balance (standing on one leg with eyes open and closed) were recorded in that group. In the gravitational insecurity test, more than 90% of the respondents showed good and average scores. It was found that girls scored significantly better on balance tests. In the Schilder test, correct postural responses were found in only 32% of the participants. There was a significant positive correlation of the results of the dynamic balance test with the static balance test, and the Schilder test assessing postural mechanism with the static balance test. ConclusionThe results of the study indicate the need for targeted measures to develop the postural balance of preschool children and compensatory measures to improve postural mechanism control.

Security Development Lifecycle-Based Adaptive Reward Mechanism for Reinforcement Learning in Continuous Integration Testing Optimization

Continuous automated testing throughout each cycle can ensure the security of the continuous integration (CI) development lifecycle. Test case prioritization (TCP) is a critical factor in optimizing automated testing, which prioritizes potentially failed test cases and improves the efficiency of automated testing. In CI automated testing, the TCP is a continuous decision-making process that can be solved with reinforcement learning (RL). RL-based CITCP can continuously generate a TCP strategy for each CI development lifecycle, with the reward mechanism as the core. The reward mechanism consists of the reward function and the reward strategy. However, there are new challenges to RL-based CITCP in real-industry CI testing. With high-frequency iteration, the reward function is often calculated with a fixed length of historical information, ignoring the spatial characteristics of the current cycle. Therefore, the dynamic time window (DTW)-based reward function is proposed to perform the reward calculation, which adaptively adjusts the recent historical information range based on the integration cycle. Moreover, with low-failure testing, the reward strategy usually only rewards failure test cases, which creates a sparse reward problem in RL. To address this issue, the similarity-based reward strategy is proposed, which increases the reward objects of some passed test cases, similar to the failure test cases. The DTW-based reward function and the similarity-based reward strategy together constitute the proposed adaptive reward mechanism in RL-based CITCP. To validate the effectiveness of the adaptive reward mechanism, experimental verification is carried out on 13 industrial data sets. The experimental results show that the adaptive reward mechanism can improve the TCP effect, where the average NAPFD is maximally improved by 7.29%, the average Recall is maximally improved by 6.04% and the average TTF is improved by 6.81 positions with a maximum of 63.77.

W-HYDRA: a new experimental platform for the Water-Cooled Lead Lithium Breeding Blanket

In the framework of the activities coordinated by the EUROfusion consortium, the Water thermal-HYDRAulic (W-HYDRA) experimental platform is being built at the ENEA Brasimone Research Centre in order to support the development of the Water-Cooled Lead Lithium (WCLL) Breeding Blanket (BB). In particular, this infrastructure will make possible the installation and testing of prototypical mock-ups under relevant working conditions, such as the First Wall (FW), the manifold and the Steam Generator (SG). Moreover, it will represent an integral test facility for the investigation of phenomena characteristic of WCLL BB concept, such as the PbLi/water interaction. Finally, the collection of data coming from the different planned experimental campaigns will allow to qualify and validate numerical models and codes currently adopted for the design of components, as well as for the modelling of complex phenomena typical of the WCLL BB. In order to come to a definitive design of the different facilities constituting the experimental platform, several design analyses assessing the thermal, hydraulic and structural performances of the different facilities and components are necessary. The paper reports a highlight of the W-HYDRA platform with a general description of the facilities. Some of the most relevant design studies carried out so far are reported as well, highlighting their impact on the evolution of the design.

Overview of Leak-Off Test and Formation Integrity Test: Test Interpretation and Pitfalls.

Formation strength tests, such as formation integrity test (FIT), leak-off test (LOT), and extended leak-off test (XLOT), are crucial for maintaining wellbore stability. Wellbore stability issues are the main reason for nonproductive time (NPT) especially in the drilling operation. Therefore, it is important to understand the stresses around the wellbore to better interpret the formation strength tests. These tests are carried out to (i) test the casing shoe strength, (ii) estimate the minimum horizontal stress, (iii) derive the maximum horizontal stress, and (iv) estimate the fracture pressure gradient. By understanding the stresses around the wellbore and the results of the formation strength tests, engineers can make informed decisions about casing design, cementing practices, and drilling operations. This can help to prevent wellbore instability and NPT, which can save time and money. This study comprehensively reviewed, examined, and analyzed all the available tests currently employed in the field. The goal is to provide an in-depth understanding of each technique and to identify any potential limitations. A deep literature review was conducted to identify all the available tests. Each test was examined in detail to understand its purpose, methodology, and limitations. Then, the results of the tests were analyzed to identify any trends or patterns. The findings of the study were summarized and presented in this paper. Several factors were considered in the analysis of the tests such as formation permeability, formation strength, stresses around the wellbore, fluid properties, and mud type. The results of the study can be used to improve the understanding of formation strength tests and to develop more accurate and reliable methods for interpreting the results. The study considers several factors in the analysis of the tests, such as formation permeability, formation strength, stresses around the wellbore, fluid properties, and mud type. This is different from previous studies, which have often focused on a single factor or a small number of factors.

Latch: Enabling large-scale automated testing on constrained systems

Testing is an essential part of the software development cycle. Unfortunately, testing on constrained devices is currently very challenging. First, the limited memory of constrained devices severely restricts the size of test suites. Second, the limited processing power causes test suites to execute slowly, preventing a fast feedback loop. Third, when the constrained device becomes unresponsive, it is impossible to distinguish between the test failing or taking very long, forcing the developer to work with timeouts. Unfortunately, timeouts can cause tests to be flaky, i.e., have unpredictable outcomes independent of code changes. Given these problems, most IoT developers rely on laborious manual testing.In this paper, we propose the novel testing framework Latch (Large-scale Automated Testing on Constrained Hardware) to overcome the three main challenges of running large test suites on constrained hardware, as well as automate manual testing scenarios through a novel testing methodology based on debugger-like operations—we call this new testing approach managed testing.The core idea of Latch is to enable testing on constrained devices without those devices maintaining the whole test suite in memory. Therefore, programmers script and run tests on a workstation which then step-wise instructs the constrained device to execute each test, thereby overcoming the memory constraints. Our testing framework further allows developers to mark tests as depending on other tests. This way, Latch can skip tests that depend on previously failing tests resulting in a faster feedback loop. Finally, Latch addresses the issue of timeouts and flaky tests by including an analysis mode that provides feedback on timeouts and the flakiness of tests.To illustrate the expressiveness of Latch, we present testing scenarios representing unit testing, integration testing, and end-to-end testing. We evaluate the performance of Latch by testing a virtual machine against the WebAssembly specification, with a large test suite consisting of 10,213 tests running on an ESP32 microcontroller. Our experience shows that the testing framework is expressive, reliable and reasonably fast, making it suitable to run large test suites on constrained devices. Furthermore, the debugger-like operations enable to closely mimic manual testing.

Status of the MDT Trigger Processor for the ATLAS Level-0 Muon trigger at the HL-LHC

The MDT Trigger Processor (MDTTP) is a key ATLAS Level-0 Muon trigger upgrade component designed to meet High-Luminosity LHC requirements. The MDTTP will use MDT hits in the hardware level trigger for the first time in ATLAS to improve the momentum resolution of muon candidates provided by RPC and TGC detectors and reduce the fake muon trigger rate.The MDTTP hardware is based on the Apollo ATCA platform. The prototype includes a VU13P-FPGA, high-speed FireFly optical transceivers, peripherals, and other improvements learned from using the previous hardware demonstrator. We present the prototype status, firmware implementation, core algorithm, slow-control software, and first integration tests.

Reverse integrity testing gaskets reduce costs and downtime

Reverse integrity testing gaskets reduce costs and downtime

10P Human papillomavirus integration testing and high-grade cytology improve diagnostic performance of colposcopy-guided biopsy

10P Human papillomavirus integration testing and high-grade cytology improve diagnostic performance of colposcopy-guided biopsy