Jan Pennig, Sarah N Schmidt, Axel Schmutz, Johannes Hell
{"title":"Biomechanical effects of length and angle of the subcutaneous tunnel on epidural catheter stability in a porcine model.","authors":"Jan Pennig, Sarah N Schmidt, Axel Schmutz, Johannes Hell","doi":"10.1038/s41598-026-71055-7","DOIUrl":"10.1038/s41598-026-71055-7","url":null,"abstract":"<p><p>Epidural catheter dislocation can lead to severe complications, especially in anticoagulated patients. Fixation techniques vary, and the role of subcutaneous tunneling and the biomechanical effects of length or angle towards dislocation forces of the tunnel remain unknown. This in vitro study evaluated the contribution of length and angle of subcutaneous tunneling (2-5 cm at six various angles relative to dislocation force) compared to different adhesive fixation methods (transparent film dressing, adhesive strips 10-20 cm) on epidural catheter stability. Dislocation forces were measured in a porcine skin model using a motorized traction system and a force transducer. The mean dislodgement force for tunneled catheters was 0.86 ± 0.3 N. This was significantly lower than the forces measured using transparent film dressing (9.89 ± 2.65 N; p < 0.001) or adhesive strips (10 cm: 8.03 ± 2.3 N; 20 cm: 10.92 ± 0.84 N; all p < 0.001). Tunnel length and angle had no significant impact on catheter stability whereas increasing the length of the adhesive strip significantly increased the dislodgement force (p < 0.001). In conclusion, subcutaneous tunneling of epidural catheters provides limited mechanical benefit on catheter stability under standardized conditions in a porcine model whereas adhesive fixation generates substantially greater resistance to immediate catheter dislocation.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hong K Tan, Logan Froese, Daniel Wilhelms, Josef Fagerström, Michelle S Chew
{"title":"Evaluating the generalisability of LiSep LSTM for early prediction of septic shock across US and european cohorts.","authors":"Hong K Tan, Logan Froese, Daniel Wilhelms, Josef Fagerström, Michelle S Chew","doi":"10.1038/s41598-026-63350-0","DOIUrl":"10.1038/s41598-026-63350-0","url":null,"abstract":"<p><p>Sepsis remains a major public health concern and is associated with high mortality. Early detection and timely intervention are critical for improving outcomes, yet no standardised approach has been universally adopted. The LiSep LSTM model, a Long Short-Term Memory neural network developed using the MIMIC-III database, has demonstrated promising predictive performance but generalisability across regions has not yet been explored. This study evaluated the LiSep LSTM model in an independent European cohort from the AmsterdamUMC (AUMC) database. Model performance was assessed using internal, external, and pooled validation to examine the effects of distributional shift and data heterogeneity across cohorts. Permutation feature importance (PFI) was further applied to quantify each feature's contribution to model performance across evaluation settings. When tested on the AUMC cohort, the model achieved an Area Under the Receiver Operating Characteristic Curve (AUROC) of 0.8851 (95% confidence interval [CI] 0.8612-0.909) with a median Hours Before Onset (HBO) of 47.0 hours (interquartile range [IQR]: 16.0-255.0), slightly outperforming its performance on MIMIC-III. External validation showed reduced calibration and recall, while pooled training improved AUROC and Brier score relative to external-only evaluation. Accuracy was moderate (0.60-0.77) and precision remained low (0.01-0.17), indicating a substantial false-positive burden. These findings suggest that pooled training enhances robustness and supports earlier identification of septic shock, but local calibration and strategies to manage false alarms remain necessary for reliable deployment.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eman S Ibrahim, Sohad M Dorgham, Rasha Hamdy Eid, Eman F Abdel-Latif, Doaa D Khalaf
{"title":"Molecular study of specific virulence genes of Pseudomonas aeruginosa isolated from sub clinical bovine mastitis cases.","authors":"Eman S Ibrahim, Sohad M Dorgham, Rasha Hamdy Eid, Eman F Abdel-Latif, Doaa D Khalaf","doi":"10.1038/s41598-026-69514-2","DOIUrl":"10.1038/s41598-026-69514-2","url":null,"abstract":"<p><p>Pseudomonas aeruginosa-caused bovine mastitis has received increased attention recently because it results in large financial losses for dairy farms and the dairy sector overall. P. aeruginosa mastitis is a complex illness that requires host, pathogen, and environmental interactions. The objective of this study was to examine the distribution and presence of virulence factors in 13 Pseudomonas aeruginosa isolates that were isolated from 70 milk samples from subclinical cases of bovine mastitis, with an incidence of 18.57%. The Vitek 2 system (bioMerieux) verified each isolate. Pseudomonas aeruginosa produces virulence factors, which give it significant roles in the cause of the disease These virulence factors are encoded by virulence genes found on the Pseudomonas chromosome. The ecfx gene was identified in 13 (100%) of the 13 P. aeruginosa isolates, according to molecular identification of the bacteria and detection of specific virulence genes. Additionally, all of the current genes) lasR, rhlI, pqsR, lecA, lasA, proC, toxA, exoS, and pelA) were found in 6 out of 13 isolates with an incidence of 46.15%.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562642/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148930729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Azadeh Alavi, Hamidreza Khalili, Stanley M H Chan, Fatemeh Kouchmeshki, Muhammad Usman, Ross Vlahos
{"title":"Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease.","authors":"Azadeh Alavi, Hamidreza Khalili, Stanley M H Chan, Fatemeh Kouchmeshki, Muhammad Usman, Ross Vlahos","doi":"10.1038/s41598-026-65964-w","DOIUrl":"10.1038/s41598-026-65964-w","url":null,"abstract":"<p><p>Skeletal-muscle dysfunction is an important extrapulmonary feature of chronic obstructive pulmonary disease (COPD), but advanced computational representations require conservative evaluation in small preclinical cohorts. We analysed a cigarette-smoke mouse model of experimental COPD comprising 213 animals with blood and bronchoalveolar-lavage biomarkers to predict tibialis anterior muscle weight, muscle quality, and force. We developed a kernel-geometric quantum hybrid method in which synthetic symmetric positive definite (SPD) references are mapped through a reproducing-kernel Hilbert space, compressed using train-only random projection, normalised, and supplied to low-dimensional simulated quantum regression circuits. We benchmarked this approach against classical Ridge/kernel models, SPD relational representations, and quantum-kernel regression using identical condition-stratified repeated cross-validation folds. Results were endpoint-specific. Biomarker-only Ridge had the lowest RMSE for force, indicating that a compact linear model was sufficient for this endpoint in the present cohort. Synth_ROSE had the numerically lowest RMSE for muscle weight and muscle quality, but paired fold-level testing did not establish statistically significant superiority after Holm adjustment. These findings support leakage-controlled, endpoint-specific benchmarking of SPD and simulated quantum feature maps, not claims of clinical readiness, quantum hardware advantage, or definitive superiority over classical learning.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562544/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A thermophone-based FM sonar for airborne ultrasonic sensing under drone flight noise.","authors":"Yasufumi Yamada, Kanta Hasegawa, Yuma Watabe, Shinichi Sasaki, Takaaki Asada, Shizuko Hiryu","doi":"10.1038/s41598-026-65909-3","DOIUrl":"10.1038/s41598-026-65909-3","url":null,"abstract":"<p><p>Bats achieve agile navigation, including obstacle avoidance and prey pursuit in complex environments, using a remarkably simple active sonar system consisting of a single sound emitter and two receivers. Their biosonar highlights the potential of broadband FM pulses in simple sensing architectures. Here, we present a bat-inspired FM sonar system for drones, employing a single ultrasonic transmitter and two receivers. The system integrates a lightweight thermoacoustic emitter (thermophone) capable of generating broadband frequency-modulated (FM) pulses, including echolocation-like signals. Owing to its resonance-free operation, the thermophone provides wideband ultrasonic emission with low voltage input. Using onboard cross-correlation processing, we demonstrate object detection, two-dimensional localization, and low-speed two-dimensional obstacle avoidance using ultrasound alone during autonomous drone flight. The proposed system successfully detects narrow obstacles even under flight conditions in which the raw onboard microphone signals are dominated by drone flight-induced noise. Our results demonstrate the feasibility of thermophone-based FM sonar for airborne ultrasonic sensing during drone flight and establish thermophone technology as a promising platform for future bat-inspired aerial sonar system.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562668/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148930979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction: Hybrid tuned deep learning model for breast cancer diagnosis using genetic data.","authors":"Farah Hesham, Mohamed M Abbassy, Mohammed Abdalla","doi":"10.1038/s41598-026-70814-w","DOIUrl":"10.1038/s41598-026-70814-w","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DeepLabCut-based automated system reveals diverse temperature tolerance among medaka strains and related Oryzias species.","authors":"Yoshiya Matsuo, Takuya Kato, Kiyoshi Naruse, Takashi Yoshimura, Tatsuhito Hasegawa, Tomoya Nakayama","doi":"10.1038/s41598-026-66712-w","DOIUrl":"10.1038/s41598-026-66712-w","url":null,"abstract":"<p><p>Temperature is a critical environmental factor influencing the physiology and behavior of ectothermic animals, yet conventional methods for evaluating thermal tolerance in fish rely on subjective manual observation of loss of equilibrium (LOE), limiting experimental throughput and introducing observer bias. Here, we developed an automated temperature tolerance evaluation system integrating DeepLabCut-based pose estimation with custom image processing algorithms to objectively quantify the timing of LOE during thermal stress tests. Our system incorporated region partitioning and color transformation preprocessing to improve keypoint detection accuracy, followed by a classification model combining ResNet34-based frame features with keypoint coordinates to objectively determine the timing of LOE without manual observation. Validation against manual annotation showed that the automated system achieved an accuracy comparable to the natural variability between trained investigators, and outperformed naive human observers, supporting its validity as an objective and reproducible alternative to manual scoring. Using this system, we characterized cold and heat tolerance across six medaka strains (Oryzias latipes: d-rR/TOKYO, HB11A, OK-Cab, HO5 and HdrR-II1; O. sakaizumii: HNI-II). Cold and heat tolerance assessment revealed inter-strain variation, with HdrR-II1 among the most cold- and heat-tolerant strains and HNI-II the least tolerant of both cold and heat stress. We further evaluated cold tolerance in medaka-related species (O. sinensis, O. cabaranensis, O. curvinotus, O. luzonensis, O. celebensis, and O. javanicus) and zebrafish (Danio rerio), revealing substantial interspecific variation that broadly corresponded with latitudinal distribution. O. latipes, distributed at the highest latitudes among the tested species, exhibited the greatest cold tolerance, whereas O. celebensis, O. javanicus, and other tropical or low-latitude species showed comparatively low cold tolerance. Our automated system provides a robust, high-throughput platform for thermal tolerance evaluation and, combined with the genetic and genomic resources available in medaka, establishes a foundation for elucidating the molecular mechanisms underlying temperature adaptation in fish.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anugula Rajamallaiah, Josep M Guerrero, Yadala Pavankumar, Kishore Bingi, Muhammad Zain Yousaf, Mamdouh L Alghaythi, Meshari S Alshammari
{"title":"Seamless grid following and grid forming inverter mode transition enabled by machine-learning based SCR estimation and smooth switching control.","authors":"Anugula Rajamallaiah, Josep M Guerrero, Yadala Pavankumar, Kishore Bingi, Muhammad Zain Yousaf, Mamdouh L Alghaythi, Meshari S Alshammari","doi":"10.1038/s41598-026-63339-9","DOIUrl":"10.1038/s41598-026-63339-9","url":null,"abstract":"<p><p>The increasing penetration of inverter-based resources has led to converter-dominated power systems in which grid strength varies significantly and strongly influences inverter control performance. Grid-following (GFL) and grid-forming (GFM) control strategies offer complementary advantages; however, inappropriate mode selection or abrupt transitions between these modes can result in power oscillations, frequency deviations, and degraded stability, particularly in weak grids. Reliable real-time awareness of grid strength is therefore essential to enable seamless hybrid GFL/GFM operation. This paper proposes a control-oriented, data-driven short-circuit ratio (SCR) estimation framework to support adaptive GFL/GFM mode transitions in grid-connected inverters. A lightweight multilayer perceptron (MLP) is employed to infer grid strength directly from locally measured point-of-common-coupling voltage and current signals, without relying on explicit grid models or intrusive signal injection. The estimated SCR is used as a supervisory signal to select the appropriate operating mode, while parallel GFL and GFM controllers with internal-state synchronization ensure smooth transitions with continuity of phase angle and current references. Comprehensive simulation studies under gradual and abrupt grid-strength variations demonstrate that the proposed approach significantly improves mode-transition behavior compared with conventional ordinary least squares-based estimation. In particular, active and reactive power oscillations are reduced and frequency stability is enhanced during GFL/GFM switching. The results highlight the importance of control-enabling grid-strength estimation for reliable operation of inverter-based resources in weak and converter-dominated power systems.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148930843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lobna Kamal, Mohamed S Yamany, Hossam E Hosny, Student
{"title":"Assessing the impact of construction material waste drivers on project cost overrun across material processing stages: a structural equation modeling approach.","authors":"Lobna Kamal, Mohamed S Yamany, Hossam E Hosny, Student","doi":"10.1038/s41598-026-63008-x","DOIUrl":"10.1038/s41598-026-63008-x","url":null,"abstract":"<p><p>A considerable quantity of materials supplied to construction sites becomes waste, hence escalating project costs. Nevertheless, research lacks a thorough assessment of the intricate, indirect, and non-linear correlation between material waste drivers at different processing stages and project cost overruns. This research study investigates this correlation using an advanced multivariate statistical technique known as structural equation modeling (SEM). Data were collected through a questionnaire survey to evaluate the construction material waste factors (CMWFs) and their association with cost overruns in construction projects in Egypt. An exploratory factor analysis was conducted to categorize CMWFs into material processing phases: (1) design and documentation, (2) material procurement, (3) material handling, storage, and transportation, and (4) on-site management. An SEM model was developed to uncover the impact of latent material processing phases on project cost overruns. The model's consistency, reliability, and accuracy were verified employing various performance metrics, including Cronbach's Alpha, composite reliability, and root mean squared error. The results demonstrate that factors related to material handling, storage, and transportation exhibit the highest correlation and impact on project cost overruns, as reflected by an R<sup>2</sup> value of 0.441 and a p-value below 0.05. This research helps decision-makers prioritize mitigation strategies for material waste and cost overruns, hence enhancing construction project performance.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of nickel doping on the optical, magnetic and electrical properties of CMFC ferrite.","authors":"A M Moustafa, A A Ward, A F Mabied, S A Gad","doi":"10.1038/s41598-026-67441-w","DOIUrl":"10.1038/s41598-026-67441-w","url":null,"abstract":"<p><p>The multifunctional properties of spinel ferrites can be effectively tailored through Ni substitution, particularly in systems where cation redistribution and electron hopping mechanisms govern the structural, optical, electrical, and magnetic responses. In this work, Cu₀.₇Mg₀.₃₋ₓNiₓFe₁.₇Cr₀.₃O₄ CMFC ferrites (0.05 ≤ x ≤ 0.30) were synthesized and systematically investigated using XRD, SEM, optical and transport properties analysis. Ni incorporation promoted improved lattice ordering and cation redistribution within the spinel structure, leading to modifications in electronic polarizability and charge transport pathways. These changes were reflected in a systematic widening of the optical band gap from 3.2 to 3.7 eV, accompanied by a reduction in the refractive index. Magnetic measurements confirmed the retention of soft ferromagnetic behaviour, although the saturation magnetization gradually decreased from 20.33 to 18.54 emu g⁻¹ due to variations in cation occupancy and superexchange interactions. The saturation magnetization slightly reduced while preserving soft magnetic behavior with low coercivity (44-57 G). The results of the magnetic properties indicated that, the magnetic response for specific applications such as High-Frequency Transformer Cores, Electromagnetic Interference (EMI) Suppression and Magnetic Recording Heads. Dielectric analysis performed over the frequency range 10⁻¹-1 M Hz at 30 °C revealed pronounced low-frequency dispersion associated with Maxwell-Wagner interfacial polarization at low frequency. The combined structural, optical, electrical, and magnetic characteristics indicate that Ni-substituted Cu-Mg ferrites are promising materials for MHz-frequency electronic devices, including high-frequency transformer cores, electromagnetic interference suppression, and magnetic recording components.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13562679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}