Development Of System Research Articles

Coupling Rotary Motion to Helicene Inversion within a Molecular Motor

Towards complex coupled molecular motions, the remote handedness inversion of a helicene moiety was achieved by a rotary molecular motor. The use of a specifically engineered dynamic helicene stator in a novel overcrowded‐alkene second‐generation molecular motor based on a fluorinated dibenzofluorene fragment allows for an unprecedented control over helicity inversion. This is achieved by the mechanical coupling of the rotation of the rotor to the helicene inversion of the stator half via a remote chirality transmission process. Thus, the unidirectional rotary motion generated upon irradiation is used to invert the dynamic stereochemistry of a helicene, leading to a 6‐steps cycle with eight intermediates. In this cycle, both alternation between P and M configurations of the helicene stator and dynamic thermal interconversion (paddling motion) can be achieved. In‐depth computational and spectroscopic studies were performed to support the associated mechanism. The control over coupled motion and dynamic helicity offers prospects for the development of complex responsive systems.

Coupling Rotary Motion to Helicene Inversion within a Molecular Motor

Towards complex coupled molecular motions, the remote handedness inversion of a helicene moiety was achieved by a rotary molecular motor. The use of a specifically engineered dynamic helicene stator in a novel overcrowded‐alkene second‐generation molecular motor based on a fluorinated dibenzofluorene fragment allows for an unprecedented control over helicity inversion. This is achieved by the mechanical coupling of the rotation of the rotor to the helicene inversion of the stator half via a remote chirality transmission process. Thus, the unidirectional rotary motion generated upon irradiation is used to invert the dynamic stereochemistry of a helicene, leading to a 6‐steps cycle with eight intermediates. In this cycle, both alternation between P and M configurations of the helicene stator and dynamic thermal interconversion (paddling motion) can be achieved. In‐depth computational and spectroscopic studies were performed to support the associated mechanism. The control over coupled motion and dynamic helicity offers prospects for the development of complex responsive systems.

Ontogenetic and evolutionary trends on cephalopod digestive systems

AbstractMeropelagic octopuses hatch as planktonic paralarvae, being the subject of progressive morphological and behavioural changes ending with settlement on the seafloor as juveniles. The comparative morphological study of digestive systems can help to understand the adaptation to particular niches during this challenging plankton-benthos transition. Here, the morphometric development of the digestive system of the common octopus (Octopus vulgaris) is described through 3D microscopy techniques over the first two months of life. This morphological development is compared with those of adults and the holobenthic cuttlefish Sepia officinalis, as well as with the holopelagic squids Loligo vulgaris and Illex coindetii. Based on present and published results, we suggest four stages for the early development of O. vulgaris: (1) post embryonic, (2) early paralarval, (3) advanced paralarval and (4) early juvenile. The digestive system development was variable over time, with faster growth during the first days of planktonic life and after settlement. All the paralarvae-bearing species showed very proportionally enlarged posterior salivary glands at hatching compared both to more developed conspecifics and to the cuttlefish hatchling. This could reflect a potential common feeding mechanism through external digestion and probably a compensatory mechanism for an early digestive gland underperformance. The proportionally smallest digestive system has been found in L. vulgaris, mainly because of their remarkably smaller digestive glands. All species showed major changes in digestive organs between hatchlings and developed phases, indicating how different ecological contexts over ontogeny are reflected in their digestive structures. Graphical abstract

Nowhere else in the world? The Korean Safe Rates System in global context

Abstract The Korean ‘Safe Trucking Freight Rates System’ (‘Safe Rates System’) was an important effort to address road safety risks by regulating road transport supply chains. In effect between 2020 and 2022, the system set minimum standards for truck driver pay and placed obligations on road transport supply chain parties to comply with these standards. In this article, we explain how the system developed in response to the deregulation and restructuring of the road freight market in the late 1980s and 1990s. We also trace the influence on the system of regulatory development in Australia and debates at the International Labour Organization (ILO). In 2019, workers, employers, and government representatives at the ILO reached an agreement on the main principles of the Safe Rates regulatory model through the adoption of the Guidelines on the promotion of decent work and road safety in the transport sector. We use these principles to explain and evaluate the Korean system. We also summarise assessments of the system’s impact, arguing that the results of the few studies that exist, justify the continuation of the system. By locating Korean Safe Rates as part of a broader global trend, we respond to opponents’ claims that the system is without international precedent and make the system eligible for a global audience. In so doing, we seek to contribute to the ongoing debate about the reintroduction of Safe Rates in Korea and draw lessons from the Korean experience that may be used in other countries.

EPCO-38. IDENTIFYING THE MOLECULAR SIGNATURE OF INFILTRATING EDGE IN GLIOBLASTOMA AS DRIVERS OF TUMOUR INVASION AND RECURRENCE

Abstract Complete tumour resection in glioblastoma patients is not possible. Residual therapy-resistant edge-derived cells drive tumour recurrence and infiltrative expansion in glioblastoma. Features that are specific to malignant edge-derived cells may serve as predictive biomarkers to allow individual tailoring of the treatment plan to slow down tumour invasion and prevent tumour recurrence in GBM patients following standard therapy. Intratumoural spatial heterogeneity facilitates therapeutic resistance and recurrence in glioblastoma. Our knowledge on glioblastoma heterogeneity is mostly restricted to the surgically resectable tumour core, while the functional characterization of tumour cells at the infiltrating edge remains largely elusive due to the presence of normal functional brain tissue in the peritumoural lesion. Edge-derived cells exhibit larger capacity for infiltrative expansion and are the main drivers of treatment failure and tumour recurrence, making them action targets for novel treatment approaches in glioblastoma. To resolve the transcriptional heterogeneity of GBM within the spatial context, we profiled gene expression of different tumour regions (“edge” and “core”) obtained at initial surgical resection from primary and recurrent IDH-WT GBM patients with Visium 10x and GeoMx. We show that infiltrative edge-derived cells are spatially segregated and are characterized by regionally shared distinct genomic and transcriptomic signatures that promote invasiveness and underly disease recurrence. Tumour edge is enriched for neuronal signatures, while tumour core displays larger transcriptional subpopulation diversity and abundance of proliferative cells with a high capacity for self-renewal, consistent with the proliferative and cancer stem cell-enriched phenotype in early GBM progressors. Upregulated DEGs of tumour edge cells are significantly associated with ion regulation of transport, chemical synaptic transmission, and nervous system development. These modules may represent tumour cell hijacking of neuronal programs specifically at the tumour periphery as described in the context of glioma-neuron synaptic communication and formation of neurite-like microtubes. Upregulation of ion regulation transport at the tumour periphery indicates enhanced neuronal activity and excitability driving infiltrating growth.

Bio‐Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics

AbstractInspired by the extensive signal processing capabilities of the human nervous system, neuromorphic artificial sensory systems have emerged as a pivotal technology in advancing brain‐like computing for applications in humanoid robotics, prosthetics, and wearable technologies. These systems mimic the functionalities of the central and peripheral nervous systems through the integration of sensory synaptic devices and neural network algorithms, enabling external stimuli to be converted into actionable electrical signals. This review delves into the intricate relationship between synaptic device technologies and neural network processing algorithms, highlighting their mutual influence on artificial intelligence capabilities. This study explores the latest advancements in artificial synaptic properties triggered by various stimuli, including optical, auditory, mechanical, and chemical inputs, and their subsequent processing through artificial neural networks for applications in image recognition and multimodal pattern recognition. The discussion extends to the emulation of biological perception via artificial synapses and concludes with future perspectives and challenges in neuromorphic system development, emphasizing the need for a deeper understanding of neural network processing to innovate and refine these complex systems.

Developing a Real Time Non Invasive Approach to Distinguish Natural and Artificial Ripened Fruits

In this project we focuse on detecting artificial and natural ripened fruit using the sensor introduces a novel Internet of Things-based method. An ESP32 microcontroller serves as the system's central hub and is responsible for gathering and interpreting data from a wide range of sensors. These sensors include a DHT sensor that measures the temperature and humidity inside the fruit container, a moisture sensor that determines the moisture content of the fruits and vegetables, a weight/load sensor that tracks the weight of the produce, and a MQ2 gas sensor that carefully measures the concentration of ethylene gas released by fruits [7]. This strategy reduces food waste and preserves agricultural products by providing a more effective and sustainable substitute for conventional techniques. A key component of guaranteeing the freshness, quality, and market value of fruits and vegetables is their timely ripening.The ability of the system to continuously evaluate the complex interactions between temperature, humidity, moisture, etc. This project presents the development of an IoT-based system for preventing the premature ripening of fruits and vegetables. The system utilizes sensors to monitor ethylene gas concentration, temperature, humidity, moisture content, and weight, enabling timely intervention to regulate ripening conditions. By detecting changes in these parameters, the system can activate a DC fan to improve air circulation and disperse ethylene gas, and a DC pump to spray ethylene absorbent onto the fruits. This helps to control the ripening process and prolong the shelf life of fruits and vegetables.

The critical impact of remote pilot modelling in evaluation of detect-and-avoid systems explained for ACAS Xu

Detect-and-avoid (DAA) systems for remotely piloted aircraft systems (RPAS) can provide remain well clear (RWC) guidance as well as shorter term resolution advisories (RAs) for collision avoidance, which are both provided in the vertical and horizontal planes. Simulation-based studies for large sets of encounter scenarios are used in the development and evaluation of DAA systems, which encompass safety and operational acceptability of the DAA supported operations. Given the key role of the remote pilot (RP) in responding to RWC guidance and RAs, a RP model is an essential element in such simulations. This paper describes the development of a RP model for evaluation of encounter scenarios involving the ACAS Xu DAA system. The model describes RP situation awareness (perception, comprehension, projection) as basis for decision-making, modes for responding to RAs and/or RWC guidance, response delays, response strengths, and the flight control actions. The RP model includes deterministic and stochastic settings. It is integrated in a simulation environment for encounters of manned and/or unmanned aircraft, the involved DAA and airborne collision avoidance systems, the surveillance and communication systems, and the human operators. Simulation results are provided for a set of encounters between pairs of RPAS both having ACAS Xu for various configurations of the RP model, and for cases with and without sensor errors. The results show that there can be large differences between the results of deterministic and Monte Carlo simulations, indicating that limited sensor errors can have a large impact on the nonlinear system dynamics. Furthermore it is shown that deadlock conditions can exist where the RPAS show oscillatory behaviour and do not manage to effectively pass each other, dependent on the encounter geometry and RP model settings. It is advised to perform a broad sensitively study for RP performance and to study extending the scope of DAA systems to include guidance for efficiently returning to mission without triggering new conflicts.

DEVELOPMENT OF HIGHER MEDICAL EDUCATION ABROAD IN THE STUDIES OF UKRAINIAN COMPARATIVISTS

The article presents a synthesized historiographical analysis of Ukrainian pedagogical comparativistsʼ works on the development of higher medical education in foreign countries, identifying trends, achievements, bottlenecks, and prospects for studying this problem. The presented sample of dissertations, monographs, and textbooks demonstrated their narrow country-specific vector and similarity in formulating the subject of research. Historiographical and comparative analysis revealed similar approaches of scientists to determining trends in the development and functioning of national systems of professional training for doctors. These concern the preservation and expansion of decentralization in higher medical education management; strengthening the interaction of its various links; shifting emphasis in determining the prerequisites for the development of national higher medical education systems from “traditional” factors (political, socio-economic, cultural situation of the country, etc.) to clarifying the influences of international medical organizations and documents in the field of healthcare that substantiate general strategies for training doctors in higher medical education institutions, etc. Scientists also propose original approaches to studying the functioning of national systems of higher medical education. These are manifested in the development of authors periodizations and classifications of the specified process; thorough characteristics of university environments for training future doctors in different countries; comprehensive understanding of the determinants of their formation and development, which, in addition to social, economic, and cultural factors of the country's development, relate to the level of education of the population, its multiculturalism, the specifics of educational systems, etc. In these perspectives, the analyzed studies mark two main country-specific vectors of research in higher medical education: “overseas” (USA and Canada) and “European” (mainly Great Britain, Poland, and German-speaking countries).

Integration of Mental Health Concepts in the Middle School Curriculum

This qualitative study explores the experiences of middle school teachers of Liaocheng Vocational and Technical School with student mental health education within their school setting. Drawing on interviews with teachers, supported interviews with school administrators and parents, the study aims to understand the challenges, resources, and support systems in promoting student well-being that teachers believe would be most beneficial in facilitating effective mental health education. Through a qualitative inquiry, and specifically using purposeful sampling, ten participants will be selected to provide rich insights into the phenomenon. Data will be collected through semi-structured interviews and analyzed using thematic analysis. Results may highlight the multifaceted nature of supporting student mental health, encompassing recognition of mental health issues, role breadth, efficacy in providing support, and barriers faced within the school environment. It is hoped that the study contributes to the literature by offering insights into the complexities of addressing student mental health within the middle school context and informing the development of effective interventions and support systems.

Relationship between stratigraphic overlap and sedimentary facies evolution of the Junggar Basin, Northwest China

The interaction between the topography of the slope zone on the edge of the basin and the distribution of sediments is crucial for accurately predicting sediment distribution, but few studies emphasize the impact of stratigraphic overlap on the spatial evolution of sedimentary facies. The tectonic movement and sedimentary environment of Hala’alat Mountain in the northwest margin of the Junggar Basin are complex, and the sedimentary model of the whole Cretaceous system is still unclear. This article uses lithology, logging, and seismic data to explain the evolution process and sedimentary model of the Cretaceous system. The significant overlap of Cretaceous strata in the research area has a significant impact on the distribution of sedimentary facies zones and the development of sedimentary systems. Furthermore, this article explores the genesis mechanism of the Cretaceous stratigraphic overlap phenomenon, clearly defines the boundary range of stratigraphic overlap, and deeply analyzes how sedimentary facies zones are distributed and their subsequent evolution trends after the formation of overlap. The results demonstrate that there are apparent stratigraphic overlap phenomena in the second member (K1q2) and the third member (K1q3) of the Cretaceous Qingshuihe Formation in this area. The lithology at the bottom of the formation is grey sand conglomerate with finer grain size in the upper part, and the sedimentary facies are transitioned from fan delta facies to shore shallow lake beach bar facies. In member 1 (K1h1), member 2 (K1h2) and member 3 (K1h3) of the Hutubi Formation, due to the gradual slope and relatively stable sedimentary environment, the distance of stratigraphic overlap becomes shorter, the stratigraphic overlap phenomenon is no longer apparent and the sedimentary facies zone does not change. The study not only reveals the intrinsic relationship between stratigraphic overlap and the distribution of sedimentary facies zones, but also deepens the understanding of the dynamic evolution laws of sedimentary systems. The study on the overlap sedimentary mechanism of the Hala’alat Mountain in the northwest margin of Junggar Basin has reference significance.

Emotion Aware AI for Mental Health Monitoring

Mental health challenges like depression, anxiety, and stress are increasingly common in today’s fast-paced world. Early detection and consistent monitoring of emotional states are essential for timely support. This report outlines the development of an Emotion-Aware AI system that tracks and evaluates an individual’s emotional well-being in real time. By integrating advanced machine learning models and deep neural networks, the system analyzes facial expressions, voice tones, and text data to provide a holistic understanding of the user’s emotional state

Gigaton gear – policy insights for scaling up the global deployment of direct air carbon capture and sequestration technology (DACCS)

ABSTRACT Direct Air Carbon Capture and Sequestration (DACCS) is increasingly recognized as a pivotal technology for mitigating climate change by removing carbon dioxide (CO2) from the atmosphere and storing it securely. Despite significant technical potential, the current global capacity for DACCS is minimal, emphasizing the urgent need for accelerated deployment to meet climate targets. While there are technical intricacies, an accelerated deployment is substantially dependent on setting the right policy frameworks. This paper presents a comprehensive analysis of the global DACCS innovation system using the Technological Innovation Systems (TIS) framework, focusing on identifying systemic policy problems and suggesting policy leverage points. Through 34 semi-structured interviews with 37 key actors across Europe and North America, this study captures the current state and challenges within the DACCS innovation system. It offers insights on the status quo concerning entrepreneurial activities, knowledge creation and diffusion, supportive policy, market formation, resource mobilization, as well as public and local legitimacy issues. To advance the development of the DACCS innovation system towards achieving gigaton-scale carbon removal, the paper provides targeted insights for policymakers, such as creating clearer policy frameworks and incentives, securing demand, and investing more into research, as well as knowledge creation and knowledge diffusion. By pointing out these systemic issues and creating policy insights, the paper contributes valuable insights to scale DACCS technologies globally.

Development of a Drone-Based Phenotyping System for European Pear Rust (Gymnosporangium sabinae) in Orchards

Computer vision techniques offer promising tools for disease detection in orchards and can enable effective phenotyping for the selection of resistant cultivars in breeding programmes and research. In this study, a digital phenotyping system for disease detection and monitoring was developed using drones, object detection and photogrammetry, focusing on European pear rust (Gymnosporangium sabinae) as a model pathogen. High-resolution RGB images from ten low-altitude drone flights were collected in 2021, 2022 and 2023. A total of 16,251 annotations of leaves with pear rust symptoms were created on 584 images using the Computer Vision Annotation Tool (CVAT). The YOLO algorithm was used for the automatic detection of symptoms. A novel photogrammetric approach using Agisoft’s Metashape Professional software ensured the accurate localisation of symptoms. The geographic information system software QGIS calculated the infestation intensity per tree based on the canopy areas. This drone-based phenotyping system shows promising results and could considerably simplify the tasks involved in fruit breeding research.

Utilizing Technology and Artificial Intelligence in Educational Administration to Enhance School Performance at Junior High School

This study aims to explore the use of technology and artificial intelligence (AI) in education administration to improve school performance. In the growing digital era, demands for efficiency and effectiveness in education administration are increasing, especially with the development of school information management systems (SIMS) and AI-based technologies. This research examines how these technologies can automate routine tasks such as class scheduling, student data management, as well as improve data-driven decision-making that is more accurate and efficient. The research method used in this study is descriptive qualitative, with the process of collecting data through in-depth interviews, observation, and document analysis directly from several schools that have adopted this technology. In analyzing the data, I used Miles and Hubberman's data triangulation technique in the form of data reduction, data analysis, and conclusion drawing. The results show that the implementation of technology and AI has improved operational efficiency, accelerated administrative processes, and facilitated the monitoring of student and staff performance. However, the study also found challenges in technology adoption, including limited infrastructure, resistance to change, and concerns regarding data privacy. To overcome these obstacles, a holistic strategy is needed, including the development of supportive policies, digital skills training for staff, and improvement of technology infrastructure in schools. This research concludes that although the application of technology and AI in education administration faces various barriers, the potential benefits are significant, especially in terms of improving the efficiency, transparency and overall quality of school performance.

Investigation of container strength when fixed in an open wagon equipped with pneumatic bags

Ensuring the efficiency of railway transport in international traffic needs the development of combined transport systems. Container transportation is the most relevant among them. Containers are usually transported by rail on platform wagons. Along with this, the lack of platform wagons in operation makes it necessary to use other types of wagons for container transportation, such as open wagons. The fastening of containers in open wagons is carried out using pneumatic bags. To study the effectiveness of applying such a fastening scheme, the load of the container during transportation in an open wagon was determined. The conducted research will contribute to creating recommendations for improving rail transport operations' efficiency.

Mundane Technologies and Community Informatics

In this short paper, I explore how my academic journey through Social Informatics (SI) and Science and Technology Studies (STS) has guided me toward the field of Community Informatics (CI), emphasizing the critical distinctions among these disciplines. While SI and STS primarily address the theoretical dimensions of science and technology within various institutional and cultural contexts, CI centers on the practical applications of Information and Communication Technology (ICT) within specific communities. Bringing this interdisciplinary foundation and drawing on a decade of critical ethnographic research, I present the framework of "Mundane Technology," which investigates how marginalized individuals appropriate everyday technologies to navigate and resist systemic oppression. This framework, which was originally introduced in my book “Technology of the Oppressed” (2022, MIT Press), is grounded in a decolonial perspective and enhances our understanding of how ordinary artifacts, processes, and spaces contribute to the agency and aspirations of oppressed communities. This framework also critiques traditional utilitarian approaches in Information Systems and ICT for Development, advocating for a shift towards recognizing the intangible benefits of technology in marginalized contexts. Ultimately, it underscores the importance of incorporating these narratives into CI research, reinforcing democratic values and expanding the scope of technology studies to include the voices and experiences of those historically excluded from power and representation.

The perspective of ceRNA regulation of circadian rhythm on choroidal neovascularization

Abnormal growth of blood vessels (choroidal neovascularization) can lead to age-related macular degeneration (AMD) and eventually cause vision loss due to detachment of the retinal pigmented epithelium. This indicates that choroidal neovascularization is important for the treatment of AMD. The circadian clock in the mammalian retina is responsible for controlling various functions of the retina, enabling it to adjust to changes in light and darkness. Recent studies have revealed a potential connection between the circadian clock and eye diseases, although a cause-and-effect relationship has not been definitively established. C57BL/6J male mice (aged 6 weeks) were randomly divided into two groups (Control group: 9:00–21:00 light period (300 lx); Jet lag group: 8-hour phase advance once every 4 days). A laser-induced CNV model was created after 2 weeks of feeding in a controlled or jet-lagged environment. Then, full transcriptome sequencing was performed. The pathways regulated by differentially expressed mRNAs were identified by GO analysis and GSEA. Further protein networks were constructed with the STRING database and Cytoscape software. WGCNA was used to further explore the co-expression modules of these differential genes and the correlation between these differential genes and phenotypes. ceRNA networks were constructed with miRanda and TargetScan. The pathways associated with the overlapping differentially expressed mRNAs in the ceRNA network were identified, and the hub genes were validated by qPCR. A total of 661 important DEGs, 31 differentially expressed miRNAs, 106 differentially expressed lncRNAs and 87 differentially expressed circRNAs were identified. GO and GSEA showed that the upregulated DEGs were mainly involved in reproductive structure development and reproductive system development. The STRING database and Cytoscape were used to determine the protein interaction relationships of these DEGs. WGCNA divided the expression of these genes into several modules and screened the hub genes of each module separately. Furthermore, a ceRNA network was constructed. GO analysis and GSEA showed that these target DEmRNAs mainly function in wound healing, cell spreading, epiboly involved in wound healing, epiboly, and morphogenesis of an epithelial sheet. Finally, ten key genes were identified, and their expression patterns were confirmed by real-time qPCR. In this study, we investigated the regulatory mechanism of ceRNAs in choroidal neovascularization according to different light-dark cycles in the eyeball.

Hypervelocity impact investigations of composite truss tubes for in orbit assembly risk assessment

As the number of orbital structures increases, so does the threat posed by micrometeoroid and orbital debris (MMOD) impacts. These impacts range from the ballistic range (less than 1.5 km/s) to exceeding 20 km/s and can significantly weaken space structures such as the International Space Station (ISS), leading to further risk as the debris shed could damage the in-orbit assembly field. Space structures, including the James Webb Space Telescope (JWST) and the in-space assembled telescope (ISAT), often employ fiber-matrix composites in various shapes and sizes. While the effects of hypervelocity impacts (HVI) on flat plate composites have been extensively studied, there is a notable lack of research on HVI of composite tubes. Understanding how MMOD impacts affect the integrity of individual truss members, as well as the structure as a whole is essential for assessing the condition of existing space structures and improving future designs. To replicate MMOD impacts, HVI investigations from 1 to over 3 km/s were conducted on a specialized two-stage light-gas gun, showing the transition from single inlet wall damage to cascading internal fragmentation inside the tube, leading to increased damage with increasing velocity. Our investigation focuses on the image analysis of the damage area and ejecta fragmentation in the carbon fiber reinforced polymer (CFRP) tubes, as well as quantifying the resulting hole diameter. This data is crucial for validating corresponding computational models. In this study we present three separate methods of characterizing HVI including: impedance matching through equations of state, a hybrid Lagrangian finite element (FE) model using LS-DYNA with smoothed particle hydrodynamics (SPH), and experimental investigations. All methods agree that HVI can cause nearly three times the amount of damage within a tube compared to similar conditions on a plate. Our findings help enhance our understanding of MMOD impact risks on existing structures and contribute to the development of systems with greater resilience to HVI.

High-precision Roundness Measuring System for Tungsten Ball Tips with the Diameter of Less than 100 µm

Abstract Tungsten balls with a diameter of less 100 μm can function as probe tips for micro-coordinate measuring machines (CMMs) to measure ultraprecise workpieces with complex features. A high-precision measuring system was developed to evaluate the roundness of self-made tungsten ball tips. The system based on two-point method was composed of two oppositely placed interferometers and a turntable. The turntable rotated the tested ball, and the interferometers measured the variation in radius. A new model based on minimum zone method was proposed to evaluate roundness. The fabrication principle of tungsten balls was introduced and the analysis was conducted on the maximum permissible contact force and bending stress of tungsten ball tips. The elastic mechanism was designed based on the analysis. A ruby sphere with a sphericity of 130 nm was measured to verify the system's effectiveness. Repeated experiments were performed for two tungsten ball tips. Results show the roundness error of tungsten ball-A is between 550.9 and 586.2 nm with a standard deviation of 11.0 nm while tungsten ball-B’s roundness error is between 898.5 and 959.9 nm with a standard deviation of 21.7 nm. The uncertainty is calculated as 144.6 nm. The developed system can stably measure the roundness of tungsten ball tips.