Association between EMS response time and return of spontaneous circulation in out-of-hospital cardiac arrest patients in Busan, South Korea.

Sustainability and performance trustworthiness of IoT monitoring software architectures in the Edge

Beyond mean RTs in visual word recognition: Extensions of a remarkably stable three-way interaction amongst word frequency, stimulus degradation, and RT distributions.

The computational dynamics of shape orientation perception.

Decision-making dynamics of digital user innovators: A temporal and regional perspective

Clinical benefit measures and surrogates for leukaemic transformation or overall survival are scarce in MF. Circulating myeloblast (CMB) counts have the biological plausibility to indicate disease evolution, but they are still determined by an outdated approach with microscopic examination and fixed cut-offs. Our aim was to evaluate the prognostic value of CD117+/CD34+/CD45dim CMBs (CMB-FC) as continuous variables in MF patients at diagnosis and during cytoreductive therapy. Absolute counts (CMB-FC#) and relative percentages (CMB-FC%) were determined using multiparameter flow cytometry (FC). Associations of CMB-FCs and well-established prognostic markers of MF were determined by linear regression and non-parametric tests. Longitudinal CMB-FC changes were analysed using linear mixed-effects models. In the 29 analysed patients, meaningful correlations were observed between CMB-FCs and blood counts, JAK2 VAF and LDH levels among several other markers. Patients with overt MF had higher CMB-FC# and CMB-FC% compared to those with a pre-fibrotic histological subtype, while CMB-FC# increased gradually with fibrosis grade and within well-established prognostic scores. No significant effect on CMB-FC levels was observed over time in response to treatment. This novel approach for quantifying CMBs has strong potential to reflect disease activity and prognosis in MF.

Response time and lag time of vegetation drought to meteorological, soil, and groundwater droughts: Non-stationary, linear and nonlinear perspectives

Determinants of bicyclist injury severity in vehicle-bicycle crashes: Model specification and the assessment of temporal and age effects.

Exploring individual differences in the mental rotation of hands and their links to mental health.

Direct electrooxidation of artificial sweetener sucralose on Cu/Cuo modified electrodes

Association between prehospital time and injury severity in traffic crash patients.

Intensive care unit (ICU) clinicians respond to over 900 alarms per day, resulting in sensory overload that leads to delayed and inaccurate clinician responses. Integrating vital signs into object-based visual displays has been shown to yield quicker and more accurate responses than standard ICU alarm displays. We designed a ring-based visual alarm system that integrates heart rate (HR), blood pressure (BP), and peripheral oxygen sat-uration (SpO2) and evaluated its effectiveness using a virtual reality (VR) testing environment. VR offers significant advantages over traditional setups, notably by providing highly controlled, immersive, and replicable testing en-vironments. This display was compared against an existing graph-based dis-play that had been previously proven more effective than standard numerical ICU alarms. Using an HTC VIVE Pro Eye headset, we created controlled virtual environments to test participant speed and accuracy in identifying simulated clinical events. Tests were conducted with the graph-based, ring-based, and both displays shown, using head orientation software to determine which display participants viewed. When shown individually, the ring-based display had 33% higher accuracy and a 1.00s faster mean response time than the graph-based dis-play. When both displays were present, subjects viewed the ring-based dis-play 82.2% of the time. Display location in the visual field had no significant impact on performance. The ring-based display yielded improved alarm identification accuracy and response time compared to the graph-based alarm display. VR provided a robust, controlled method for testing medical interfaces. Future work should implement eye-tracking into alarm evaluation. This work's end goal is to combine our visual alarm with auditory alarms to create a multi-sensory alarm system.

Encoder decoder architecture with Bi-LSTM for model free sensorless control of induction motor

Piemonte Plain (upper Po plain), northwestern Italy. The relationship between meteorological and groundwater droughts of shallow aquifers is investigated in the Piemonte Plain, characterized by widespread irrigation, mainly supplied by Alpine-fed streamflow distributed through a complex irrigation network. Groundwater-level trends (2000–2023) were analyzed considering also seasonal behaviors. Anomalies in precipitation and groundwater levels were studied through the Standardized Precipitation Index (SPI) and Standardized Groundwater Index (SGI) across multiple time-windows and lags. A correlation-weighted lag was introduced to assess SPI–SGI response times during and outside the irrigation period. A conditional frequency analysis was carried out to study the propagation of meteorological drought into groundwater drought. The aquifer system exhibits a widespread decline over the 2000–2023 period. The analysis of the SPI-SGI correlations shows different results for the irrigation and non-irrigation periods. Irrigation weakens the relationship between precipitation and groundwater levels and the rice-cultivated area, mostly irrigated with flooding, shows the lowest SPI-SGI correlation values. The newly introduced weighted lag allows for a better characterization of groundwater response time to precipitation, overcoming the use of a single lag corresponding to maximum correlation. The propagation of meteorological drought into groundwater drought is disentangled during the irrigation period, mitigating SGI negative values in case of scarce precipitation. • Groundwater levels declined in last twenty years in the region (according to monthly trend analysis). • The SPI-SGI correlation describes the propagation of meteorological to groundwater drought. • A novel weighted-lag approach is developed to analyze SPI-SGI relationship. • Current irrigation practices recharge shallow aquifers thus buffering groundwater droughts.

Traumatic brain injury (TBI) induced by rotational loading is a major contributor to neurological dysfunction, yet the biomechanical mechanisms underlying these injuries remain poorly understood. In this study, a high-resolution, anatomically accurate three-dimensional finite element model of the mouse brain (FEM-MB) was developed. The FEM-MB was validated against previously published experimental data, showing good agreement in both the timing and magnitude of strain responses. The FEM-MB was then subjected to unidirectional and multidirectional rotational loading scenarios at low (100 rad/s), moderate (150 rad/s), and high (200 rad/s) peak angular velocities to investigate the mouse brain's response to multidirectional rotational loading. The FEM-MB results consistently revealed that deep brain regions, particularly the thalamic-hippocampal region, hypothalamus, and brainstem, experienced the highest maximum principal strains. These results highlight that not only the magnitude, but also the direction and temporal asymmetry of rotational loading, significantly affect the strain distribution across brain regions. In particular, the thalamic-hippocampal and brainstem regions had the highest strains under coronal and axial plane rotations, aligning with known injury patterns. These findings underscore the critical role of rotation direction and loading profile on strain magnitude and distribution in the mouse brain under dynamic rotational loading. Overall, the FEM-MB provides a robust in silico platform to investigate the effects of dynamic rotation loading in preclinical models of TBI.

The integration of collaborative robots into manufacturing has significantly transformed industry dynamics by enhancing the effectiveness and adaptability of production processes. This study investigates the potential of mixed reality (MR) technology to revolutionize employee training through immersive and interactive environments that seamlessly merge digital and physical realities. We introduce an MR training system for human–robot collaborative assembly tasks and evaluate its effectiveness as a training tool. The evaluation applies the following metrics: User Experience, Interaction Effectiveness, Affective-Cognitive Response, Technology Readiness, and Task Completion Time. Sixty-three participants with varied technical backgrounds, experience levels, and job roles completed a collaborative assembly task using the MR system. Our analysis includes (1) the overall effectiveness of the MR system on an absolute scale, and (2) the difference in effectiveness given the participants’ backgrounds. For the latter, participants were split into two MR-Affinity groups. Our results suggest that the MR system can effectively train people to jointly work with robots. Secondly, no significant difference between the two MR-Affinity groups was found except for the Task Completion Time. Both results together indicate that MR-based training for human–robot collaboration is generally useful and applicable to users from varied backgrounds.

Rural-urban differences in prehospital deaths due to injury in North Carolina.

A neuromorphic safety monitor for verifiable runtime assurance in stochastic control loops

This paper presents a power gating circuit with triple-mode overload protection, which can be integrated into low power charger or regulators for interface protection. It can respond in tens of microseconds while consuming 0.8μA quiescent current under low-power mode (LPM) conditions. A voltage-to-resistance converter (VRC) is proposed to generate a resistance inversely proportional to the input supply voltage for setting the overload threshold. A temperature compensation mechanism is also integrated to maintain overload threshold deviations within ±2% over the −40°C to 125°C range. The mode control logic implements an auto-recovery function that automatically reconnects the power gating path after the overload condition clears. Fabricated in 0.18-μm BCD technology, the design operates over a 5–40 V range with an area of 0.35 mm², achieving an RDSON of 600 mω for the integrated power switches. For over-power protection (OPP, threshold: 1.2 W), the power conduction path is turned off with a response time of 17μs under an abrupt 3 W power surge. For over-current protection (OCP, threshold: 106 mA), the path is shut down within 12 μs upon an abrupt 300 mA load current surge. For over-voltage protection (OVP, threshold: 24 V) for an abrupt voltage transition from 10 V to 40 V, the conduction path is cut off within 1 μs via slope detection.

Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.