Omron (Japan)

The degradation of electric vehicle (EV) batteries in tropical environments is poorly understood in the literature. This study aims to experimentally characterize the degradation of EV lithium-ion batteries and to assess the influence of climatic factors (temperature, humidity, dust) and local driving conditions (road quality, mileage) in the tropical environment of Cameroon. Our contribution lies in providing unique empirical data, obtained from real-world monitoring, specifically adapted for sub-Saharan environments and incorporating variables often overlooked. An on-board experimental device was developed on a test EV, integrating Arduino-compatible sensors (DHT22 for temperature/humidity, Sharp GP2Y1010AU0F for dust, ADXL345 for road quality, Neo-6M for mileage) and an existing battery monitoring module (BMS) (an LTC6811-based data acquisition system for cell voltage and a shunt for current) for continuous collection of battery parameters over two years (SoH, SoC, internal temperature, and internal resistance). The analysis focused on trends in SoH and internal resistance and their correlations with environmental and driving parameters. The results show a gradual degradation of SoH and capacity, as well as an increase in internal resistance. High temperatures, humidity, and dust, as well as poor road quality, are directly correlated with an acceleration of this degradation. In conclusion, tropical climatic conditions and local driving characteristics have a significant impact on the aging of EV batteries. These findings are crucial for the development of adapted BMS and the optimization of EV performance in similar environmental contexts, promoting sustainable mobility in Africa. • First comprehensive analysis of electric vehicle battery degradation in a tropical climate (Cameroon), offering unique insights into real-world performance. • Internal battery temperatures reached critical peaks (up to 55°C), strongly correlating (0.83) with increased internal resistance and accelerated degradation. • Significant thermal inertia was observed between ambient and internal battery temperatures, highlighting sustained thermal stress in hot environments. • Dust accumulation and high ambient humidity are identified as major environmental stressors, exacerbating battery degradation. • Multicollinearity was identified among key environmental variables, necessitating careful statistical consideration for accurate interpretation of individual parameter effects .

Traversability assessment of deformable terrain is vital for safe rover navigation on planetary surfaces. Machine learning (ML) is a powerful tool for traversability prediction but its inherent predictive uncertainty increases the risk of wheel slips and permanent rover immobilization. To address this issue, we integrate principal approaches to uncertainty handling—quantification, exploitation, and adaptation—into a single learning and planning framework for rover navigation. The key concept is deep probabilistic traversability, an end-to-end probabilistic ML model that predicts slip distributions directly from terrain appearance and geometry. This probabilistic model quantifies uncertainties in slip prediction and exploits them as uncertainty-aware traversability costs in path planning. Its end-to-end nature also allows adaptation of pre-trained models with in-situ traverse experience to reduce prediction errors. We perform extensive simulations in synthetic environments posing representative uncertainties in planetary analog terrains. Simulation results show that our method achieves more robust path planning under novel environmental conditions than existing methods.

Abstract Background The association between inflammatory bowel disease (IBD) and venous thromboembolism (VTE) is well-studied in the adult population. However, in paediatric-onset IBD (PIBD; < 18 years) data are scarce. Most studies are limited in size, as pointed out by the recently published ESPGHAN-ECCO guidelines for the treatment of paediatric acute severe ulcerative colitis. Several studies have indicated an increased risk of cerebral venous sinus thrombosis (CSVT). Assessing the risk among children and adolescents across clinical characteristics is crucial to guide clinical decisions about prophylactic treatment. Methods We used data from nationwide population-based registers to identify patients diagnosed with PIBD in Denmark (1996-2022) and Sweden (2006-2023). Patients with PIBD were matched on the date of first IBD diagnostic listing with up to 10 reference individuals from the general population by age, sex, and place of residence. Occurrence of VTE was compared in absolute (incidence rate difference, IRD) and relative terms (hazard ratios, HR) with 95% confidence intervals (95%CI). Data from Denmark and Sweden were combined using random effects meta-analyses. Comparisons included VTE overall, by VTE subtypes, sex, age, IBD subtypes, and time since diagnosis; and in the data from Sweden only, by disease activity (steroid prescriptions or addition/change of immunomodulators or advanced therapies, hospitalisation or surgery for IBD) and hospitalisation. Results We included 4,009 (Denmark) + 6,781 (Sweden) patients with PIBD and 39,096 + 64,497 reference individuals. Median follow-up time was 9.6 and 8.9 years, respectively. The incidence rate of VTE among patients with IBD was 1.3 per 1,000 person-years (95%CI: 1.1-1.5), and 0.4 (95%CI: 0.2-0.7) among reference individuals, with an IRD of 0.9 (95%CI: 0.7-1.2) per 1,000 person-years and an HR of 3.3 (95%CI: 1.8-6.3) (Table 1). The HR within the first 2 years of IBD was 18.8 (95%CI: 10.3-34.1). While CSVT and other thrombotic events had the highest HRs among VTE subtypes, the absolute risk of CSVT was low, at 1 per 10,000 person-years. In Sweden, disease activity, and hospitalisation, particularly hospitalisation for IBD, were strongly associated with VTE. Conclusion PIBD was associated with a substantially increased relative risk of VTE compared to the general population, although the absolute risk, including that for CSVT, was very low. Clinicians should carefully consider the risk of VTE in this population, in particular early on in the disease course, and during disease activity and hospitalisation. Conflict of interest: Dr. Bröms, Gabriella: Dr Bröms has served as a speaker for Takeda and Janssen and worked on projects at Karolinska Institute, partly financed by Janssen, Pfizer and UCB, unrelated to this study. Trudu, Beatrice: None. Modin, Frederikke Agerbo: None. Moshtaghi-Svensson, John: None. Burisch, Johan: Dr. Burisch reports grants from AbbVie, Janssen-Cilag, MSD, Takeda, Tillots Pharma, Bristol Myers Squibb, and Novo Nordisk Foundation personal fees from AbbVie, Janssen-Cilag, Celgene, MSD, Pfizer, Takeda, Tillots Pharma, Bristol Myers Squibb, Samsung Bioepis, Pharmacosmos, Ferring, Galapagos, Eli Lilly, Dr Falk Pharma, Celltrion, Zealand Pharma and Orion Pharma. Forss, Anders: Served as speaker/advisory board member for Janssen Cilag AB, Pfizer and Tillotts Pharma. Jansson, Sabine: Dr Jansson has received travel support from Ferring Pharmaceuticals and research grants from Takeda Pharma A/S, and Ferring Pharmaceuticals. Unrelated to the work submitted. Ludvigsson, Jonas: Dr Ludvigsson has received financial support from Merck/MSD for a study on inflammatory bowel disease and fibrosis and for developing a paper reviewing national healthcare registers in China. Dr Ludvigsson also has an ongoing research collaboration on celiac disease with Takeda. Earlier support includes a grant from Janssen for an unrelated study on behalf of the Swedish IBD quality register (SWIBREG). Mårild, Karl: Dr Mårild has received payment for two lectures for Pfizer Osooli, Mehdi: Dr Osooli participated in projects at Karolinska institute partly financed by pharmaceutical companies. All unrelated to this study. de Ridder, Lissy: Non-financial Support: Pfizer Other: Abbvie, Pfizer, Janssen, Eli Lilly, Takeda, Medtronic, Alvotech Wewer, Vibeke: None. SWIBREG Study Group, Swibreg: None Malham, Mikkel: None. Olen, Ola: Dr Olén has led projects at Karolinska Institutet financed by grants from Pfizer, Janssen, Alfasigma, AbbVie, Takeda, Bristol Myers Squibb, and Ferring. OO has served as speaker for lectures organized by Janssen, Pfizer, Takeda, and Bristol Myers Squibb.

The increasing loads in distribution grids lead to higher currents. To measure these, the transformation ratio of the current transformers (CTs) needs to be increased. This can be done by replacing the existing CTs with new ones or by changing the transformation ratio of the existing CTs to a higher ratio. The second option comes with less costs but with a higher measurement error. One of the sub-grids that is affected has an isolated start point. To detect the earth fault direction, the protection devices currently use the earth fault current 3I0 by summing up the three secondary phase currents in Holmgreen formation. The motivation of this paper is to find out whether the accuracy of the existing CTs with higher transformation ratio is still enough to reliably detect the earth fault direction. To do so, three different measurement setups were compared: 3 conventional CTs (CCT) in Holmgreen connection, a cable-type CT (CA), and a calibrated cable-type CT (CCA) as reference. With a specific test setup, it was possible to inject realistic primary currents from a network calculation into the different CT configurations. After analysing the measurement data, it was possible to confirm that using existing CTs with a higher transformation ratio is still sufficient.

This work investigates how inverter control modelling influences protection in distribution networks with Inverter-Based Distributed Generation (IIDG). This paper analyse two representative fault-response schemes—(i) conventional, positive-sequence only, and (ii) advanced, with coordinated positive- and negative-sequence injection—both configured to satisfy Fault Ride-Through (FRT) requirements and to provide dynamic voltage support during disturbances. As international standards (e.g., IEEE 1547-2018; IEEE 2800-2021) continue to evolve, incorporating such models into protection assessments is increasingly essential. Our objective is to validate MATLAB/Simulink fault-response models and benchmark them against implementations available in OMICRON RelaySimTest software, quantifying their impact on relay-measured currents in medium-voltage feeders. The results validate the model across multiple fault types and elucidate the direct implications of inverter control choices on the behaviour of protection devices in distribution networks.

Video understanding in the biomedical domain presents unique challenges due to specialized visual content and technical terminology, yet existing multimodal models have been primarily evaluated on general domain benchmarks. We introduce PMC-Vid, the largest biomedical video captioning dataset to date, containing over 77,000 video-caption pairs extracted from PubMed Central. This dataset significantly surpasses existing resources in both scale and domain coverage, filling a critical gap in specialized biomedical video understanding. PMC-Vid features a dataset curated through LLM-assisted annotation and subsequently verified by a medical doctor, enabling reliable evaluation of video-language models across diverse biomedical domains such as molecular biology, structural biology, clinical medicine, and surgical procedures. Our experimental validation demonstrates that existing vision-language models struggle with domain-specific content despite their strong performance on general domain tasks, highlighting specific challenges in biomedical video understanding. Through baseline implementations using state-of-the-art video-language models, we provide insights for future research and domain adaptation techniques to improve performance on specialized medical and biological content. The dataset is available at https://huggingface.co/datasets/omron-sinicx/PMC-Vid.

Abstract This study investigates electro‐osmosis in an Oldroyd‐B fluid with a nonlinear Arrhenius reaction to model temperature‐dependent chemical kinetics, enhancing concentration predictions. Similarity transformations reduce the governing equations to ODEs, solved via a MATLAB‐based shooting technique and RungeKutta method. The analysis highlights the combined effects of electro‐osmosis, MHD flow, radiation, melting, and nonlinear reactions. Results reveal the interplay of these mechanisms, offering insights into thermal transport and microfluidic applications, with implications for engineering and industrial processes involving complex fluids.