Software Prototype Research Articles

Minimum stent area, stent expansion and ultrasonic flow ratio post pci: insights from multivessel talent trial

Abstract Background Ultrasonic flow ratio (UFR) is a novel method for fast computation of fractional flow reserve (FFR) from intravascular ultrasound. Recently studies have shown the feasibility of morphofunctional computational methods to reliably estimate coronary physiology from intravascular ultrasound images. Purpose To assess minimum stent area and stent expansion and its relation to ultrasonic flow ratio post percutaneous coronary intervention. Methods The study population consisted of 150 consecutive patients (280 vessels) who underwent intravascular ultrasound for optimization of PCI for three vessel disease as mandated in the ongoing MULTIVESSEL TALENT trial (NCT04390672). The UFR analysis was performed at the CORRIB Core Lab by an analyst who was blinded to the clinical data using a prototype software package (IvusPlus prototype, Pulse Medical Imaging Technology, Shanghai, China). The stent expansion and minimum stent area was automatically detected by the software. Results The median and mean UFR of 280 vessels post-PCI was 0.94 (0.91-0.97).and 0.93±0.04, respectively. Twenty three percent (n=115) of the 280 vessels had a UFR less than 0.91.The average minimum stent area (MSA) among the population was 5.82 ± 1.95 mm2. The mean stent expansion among the population was 97% ± 22%. We compared the site reported MSA with the software derived MSA which showed strong correlation (r=0.859; P<0.001). There was no correlation between MSA and UFR (r= -0.13, P=0.81). The stent expansion among patients who had UFR <0.91 when compared to ≥0.91 was significantly lower (82% vs 98%, P<0.001). The delta UFR within the stent was significantly higher in patients who had a UFR<0.94 vs ≥0.94 (0.06 vs 0.02; P<0.01). Delta UFR within the stent was higher when the stent expansion was <80% and <90% when compared to >80% and >90% (0.07 vs 0.03; P<0.01) and (0.06 vs 0.02; P<0.01) respectively. Conclusion Combination of IVUS and FFR enables the operator to conform to highest standards in PCI. This study demonstrates that UFR is not related to the minimum stent area, and patients who have UFR <0.94 have sub-optimal stent expansion.MSA and UFRUFR and Stent expansion

Design of an Innovative Point Array Offshore Floating Wind Turbine System and Analysis of Hydrodynamic Coupling Response Law

The new lattice floating wind turbine integrated system (also known as dot matrix floating wind turbine, and hereinafter referred to as DMF) is proposed as a new concept. More far reaching, it has obvious advantages over the traditional floating wind turbine scheme in terms of structural cost and motion stability, which provides a new idea for the development of offshore wind power energy. First, the structural parameters and mechanical model of DMF are analyzed to determine the feasibility and superiority of the overall scheme of the new lattice foundation. It is concluded that the stability of DMF in pitching motion is 70% higher than that of the traditional OC4 system. In order to further verify the feasibility of the DMF system and the accuracy of the theoretical model, based on the similarity theory, the research carried out the small‐scale prototype processing of DMF and the simulation experiment of wind wave flume. The test results are in good agreement with the simulation data. This study provides a reference and theoretical basis for the research and development of offshore multi wind turbine combined equipment and hydrodynamic stability optimization. It has certain theoretical guiding significance and economic development value.

IrisVSA: Infinite-rotation infinite-stiffness Variable Stiffness Actuator towards physical human–robot-interaction

In Human–Robot-Collaboration applications, variable stiffness actuators provide an attractive actuation solution due to their well-established capabilities in ensuring accuracy and safety. Although, several existing VSAs have achieved an infinite-range of stiffness, those are generally relatively bulky, incapable of attaining an infinite-range of rotation, and their stiffness adjustment rate is rather slow. In this paper, we introduce a new infinite-rotation infinite-stiffness Variable Stiffness Actuator (irisVSA). The novelty of this actuator lies in its design topology, where two long-armed torsional springs are mounted on the output link and connected to the input link via a Force Contact Point (FCP). The variation in stiffness is realized by altering the relative distance from the FCP to the joint rotation center (effective arm). This unique topology offers a wide range of stiffness ranging from transparency (0 stiffness) to physically rigid. Moreover, the rate of stiffness adjustment is considerably fast (0.7 sec) through the utilization of a hypocycloid gear train. The working principle, design, prototyping, and characterization process for the irisVSA are detailed here. A Nonlinear Proportional–Integral–Derivative Controller is proposed to ensure the system’s accuracy. The safety of the actuator was evaluated by subjecting it to both impact force criterion experiments as well as Head Injury Criterion.

TCCC Decision Support With Machine Learning Prediction ofHemorrhage Risk, Shock Probability.

Expected future delays in evacuation during near-peer conflicts in remote locales are expected to require extended care including prolonged field care over hours to days. Such delays can increase potential complications, such as insufficient blood flow (shock), bloodstream infection (sepsis), internal bleeding (hemorrhage), and require more complex treatment beyond stabilization. The Trauma Triage Treatment and Training Decision Support (4TDS) system is a real-time decision support system to monitor casualty health and identify such complications. The 4TDS software prototype operates on an Android smart phone or tablet configured for use in the DoD Nett Warrior program. It includes machine learning models to evaluate trends in six vital signs streamed from a sensor placed on a casualty to identify shock probability, internal hemorrhage risk, and need for a massive transfusion. The project team used a mixed methods approach to create and evaluate the system including literature review, rapid prototyping, design requirements review, agile development, an algorithm "silent test," and usability assessments with novice to expert medics from all three services. Both models, shock (showing an accuracy of 0.83) and hemorrhage/massive transfusion protocol, were successfully validated using externally collected data. All usability assessment participants completed refresher training scenarios and were able to accurately assess a simulated casualty's condition using the phone prototype. Mean responses to statements on evaluation criteria [e.g., fit with Tactical Combat Casualty Care (TCCC), ease of use, and decision confidence] fell at five or above on a 7-point scale, indicating strong support. Participatory design ensured 4TDS and machine learning models reflect medic and clinician mental models and work processes and built support among potential users should the system transition to operational use. Validation results can support 4TDS readiness for FDA 510k clearance as a Class II medical device.

84 Advances, Challenges and Prospects for the Sustainable Use of the chigüiro in Colombia

Abstract The sustainable use of chigüiro or capybara is a strategy proposal to prevent the decline of the species population by maintaining and conserving appropriate habitats, reducing illegal capture, promoting its recognition, and achieving a better distribution of its benefits and its environmental services. The objective of this work is to present the progress made toward the sustainable use of capybaras in Colombia. The biological information compiled during the last 15 years indicates that the density of the populations of this species is heterogeneous throughout the flooded savannahs with space-time variations between < 1 individual/ha, and up to 6 individual/ha. These variations are associated with strong climatic variations, changes in habitat quality, and the impact of a series of conditioning factors, both natural (water availability over time) and anthropogenic origin (hunting, land use, eventual competition with cattle, and the incidence of burning). Commercial hunting as a sustainable strategy includes the identification of various products and by-products of the species, as well as its linkage in Bioeconomy projects (Figure 1) through the compliance of associated normative, the reinforcement of environmental authorities, an effective communication strategy and user commitment. Capybara meat is characterized by having a low-fat content and a protein ratio greater than 20%; and its carcass meat performance is between 44% and 53%. In addition to the training in the preparation of various meat by-products and the analysis and processing of the fur, there is an updated market study that includes an interview phase, a pilot test of exploitation, yields and tastings for approach to the actor of the commercial chain and meet future investors or buyers. With these results, a financial model was formulated with all the necessary costs to make use of the Chigüiro products. Additionally, a prototype processing plant was designed and it has three mobile components (A, B, C); two complementary fixed structures (D, E) and a module for the processing of by-products and waste (Figure 2). Finally, linking capybara population concentration points within ecotourism activities will expand the options for its use and conservation of the Chigüiro population and its habitats. Among the actual limitations for Chigüiro use we have the delay in issuing the resolution for the allocation of the global utilization quota, and the modification of the closure to increase the period of use. These resolutions will encourage the participation of other users and local investors, which is expected to reduce the transformation of natural ecosystems and their associated biodiversity.

AI-Supported Autonomous Uterus Reconstructions: First Application in MRI Using 3D SPACE with Iterative Denoising

T2-weighted imaging in at least two orthogonal planes is recommended for assessment of the uterus. To determine whether a convolutional neural network-based algorithm could be used for the re-constructions of uterus axes derived from a 3D SPACE with iterative denoising. 50 patients aged 18-81 (mean: 42) years who underwent an MRI examination of the uterus participated voluntarily in this prospective study after informed consent. In addition to a standard MRI pelvis protocol, a 3D SPACE research application sequence was acquired in sagittal orientation. Reconstructions for both the cervix and the cavum in the short and long axes were performed by a research trainee (T), an experienced radiologist (E), and the prototype software (P). In thenext step, the reconstructions were evaluated anonymously by two experienced readers according to 5-point-Likert-Scales. In addition, the length of the cervical canal, the length of the cavum and the distance between the tube angles were measured on all reconstructions. Interobserver agreement was assessed for all ratings. For all axes, significant differences were found between the scores of the reconstructions by research T, E and P. P received higher scores and was preferred significantly more often with the exception of the comparison of the reconstruction Cervix short of E (Cervix short: P vs. T: p=0.02; P vs. E: p=0.26; Cervix long: P vs. T: p=0.01; P vs. E: p<0.01; Cavum short: P vs. T: p=0.01; P vs. E: p=0.02; Cavum long: P vs. T: p<0.01; P vs. E: p<0.01). Regarding the measured diameters, (length of cervical canal/cavum/distance between tube angles) significantly larger diameters were recorded for P compared to E and T (Cervix long (mm): T: 25.43; E: 25.65; P: 26.65; Cavum short (mm): T: 26.24; E: 25.04; P: 27.33; Cavum long (mm): T: 31.98; E: 32.91; P: 34.41; P vs. T: p<0.01); P vs. E: p=0.04). Moderate to substantial agreement was found between Reader 1 and Reader 2 (range: 0.39-0.67). P was able to reconstruct the axes at least as well as or better than E and T. P could thereby lead to workflow facilitation and enable more efficient reporting of uterine MRI.

Room temperature roll-to-roll additive manufacturing of polydimethylsiloxane-based centrifugal microfluidic device for on-site isolation of ribonucleic acid from whole blood

Polymer-based lab-on-a-disc (LoaD) devices for isolating ribonucleic acid (RNA) from whole blood samples have gained considerable attention for accurate biomedical analysis and point-of-care diagnostics. However, the mass production of these devices remains challenging in manufacturing cost and sustainability, primarily due to the utilization of a laser cutter or router computer numerical control (CNC) machine for engraving and cutting plastics in the conventional prototyping process. Herein, we reported the first energy-efficient room-temperature printing-imprinting integrated roll-to-roll manufacturing platform for mass production of a polydimethylsiloxane (PDMS)-based LoaD to on-site isolate ribonucleic acid (RNA) from undiluted blood samples. We significantly reduced energy consumption and eliminated thermal expansion variations between the mold, substrate, and resists by accelerating the PDMS curing time to less than 10 min at room temperature without using heat or ultraviolet radiation. The additive manufacturing technology was applied to fabricate a multi-depth flexible polymer mold that integrated macro (2 mm) and micro-sized (500 μm) features, which overcomes the economic and environmental challenges of conventional molding techniques. Our integrated R2R platform was enabled to print adhesion-promoting films at the first printing unit and continuously in-line imprint with a high replication accuracy (99%) for high-volume manufacturing of a new centrifugal microfluidic chip with an enhancement of mixing performance by integrating an efficient mixing chamber and serpentine micromixer. This research paved the way for scalable green manufacturing of large-volume polymer-based microfluidic devices, often required in real-world sample-driven analytical systems for clinical bioanalysis.

A New Method for Common Femoral Arterial Access Using a Mixed Reality-Assisted Technique on a Phantom Model.

The purpose of this study was to investigate the technical feasibility and usability of a mixed reality (MiR)-assisted common femoral arterial (CFA) access technique using a sonography-assisted registration method. A total of 60 CFA punctures were performed on a phantom model by 2 observers. Thirty punctures were performed using MiR (MiR group) and 30 punctures were performed using a conventional sonography-guided access procedure (control group). In the MiR group, a virtual object was created based on a computed tomography (CT) angiography scan of the model and registered to the physical patient in an MiR environment utilizing a software prototype that allowed registration based on a sonography scan. Positional error assessment encompassed 4 measurements using cone beam CT scans: (1) distance of the needle tip to the centerline, (2) distance of the needle entry site from the mid-level of the ostium of the profound femoral artery, (3) angle of entry of the needle in coronal, and (4) sagittal planes. Technical success rates as well as positional errors were compared between both groups. In addition, the usability of the system was assessed according to the system usability scale (SUS). Technical success was 96.7% and 100% in the MiR and control groups, respectively. The median distance between the needle tip and the centerline was 3.0 (interquartile range [IQR]: 2.0-4.6) in the MiR group and 3.2 mm (IQR: 2.3-3.9) (p=0.63) in the control group. Similarly, the median distance from the needle entry site to the mid-level of the ostium of the profound femoral artery was 3.0 mm (IQR: 2.0-5.0) in the MiR group and 4.5 mm (IQR: 2.0-7.8) (p=0.18) in the control group. The median coronal angles of needle entry were 7.5° (IQR: 6-11) and 6° (IQR: 2-12) (p=0.13), and the median sagittal angles were 50° (IQR: 47-51) and 51° (IQR: 50-55) (p<0.01) in the MiR and control groups, respectively. The mean SUS score provided by both observers was 51.3. The feasibility of an MiR-assisted CFA access technique could be demonstrated on a phantom model. Further studies are needed to investigate the technique beyond phantom model experiments and in different anatomical settings. This study demonstrates the technical feasibility of a Mixed-Reality-assisted common femoral arterial access procedure on a phantom model. The positional accuracy was comparable to a conventional sonography-guided technique. However, there are several limitations that need to be resolved prior to potential implementation into clinical practice. Further studies are needed to investigate its performance beyond phantom model experiments and the prototypical application requires further technical refinement to increase its usability.

Research on Online Gas Volume Monitoring Technology of Intelligent Gas Relay

The gas relay is the main non-electrical protection device of the transformer, which plays an important role. Traditional detection methods can not reflect the gas relay level, and there will be gas relay false alarms in operation and maintenance. Firstly, the working principle of the gas relay was analyzed, and a non-conductive capacitance sensor was proposed to realize the real-time monitoring of gas volume in the gas relay. Then, a new online monitoring scheme for intelligent gas relays was constructed through the selection analysis and optimization design of the gas protection module and liquid-level measurement module. Based on the changing state of gas volume in the gas relay, a more accurate and timely fault diagnosis of the power transformer was realized, and the prototype processing was completed. Finally, the feasibility of the volumetric testing method was verified by comparing the two conditions of different liquid-level heights and different ambient temperatures. The proposed method is of great significance for discovering the latent faults of transformers and realizing the condition monitoring of oil-immersed power transformers, which ensures the safety of power grid equipment and personnel.

Designing User Interface (UI) &amp; User Experience (UX) Mobile Website Templates Digital Wedding Invitations

Wedding invitations have been using the conventional way, with paper. Costs are not cheap, invitation printing takes a long time, and environmental issues in the use of paper. Wedding invitations no longer use paper media. Wedding invitations with user interface (UI) and user experience (UX) designs provide a new experience. UI/UX design is an important stage because it gives an initial impression to potential users. The design of digital wedding invitations uses a design thinking method approach which is consists of several stages, namely empathize, define, ideate, prototype, and testing. Empathize process using questionnaires and interviews. Respondents to the questionnaire were 92 people with an age range of 25 to 35 years and had a middle to upper economic level.Apart from being well educated, the respondents are active internet users. The results showed that respondents preferred the simple modern invitation design style. In the define process, users need several digital wedding invitation templates with international and traditional nuances. It is designed to be interactive, user friendly, and has features that can be customized. Furthermore, the ideation process is carried out based on the analysis of the define process, namely the design of mobile website templates for digital wedding invitations. Bride and groom are made easy with several template choices. The prototype process is carried out by getting the initial design, then testing it and doing it iteratively to get feedback from the bride and groom in order to get the digital wedding invitations that the bride and groom need.

Promoting educational materials in digital fashion

Specialized fashion software, as a technological instrument for virtual modelling, has a critical role in reducing the length of the design process and time to market, simplifying communication with other departments and improving the quality of the creative process. This paper presents a survey of the modelling technologies used in Romanian clothing companies as a critical starting point for outlining a new methodology in teaching digital fashion. As part of the larger European survey in the framework of the Erasmus+ Digital Fashion Project, collected data from Romanian textile companies present their current needs for clothing designed with computer technologies and 3D software for virtual prototyping. According to the sampled companies, most have high (over 42%) and medium (over 33%) levels of digital skills. The most needed occupational profile was the 3D Designer, and the age expectation was between 25–40 years. The ability to design clothing patterns using virtual prototyping was the most selected preference when asked about future development requirements. The survey results are valuable both in establishing the new methodological framework for teaching digital fashion and in identifying the needs for the other project outcomes, such as the textile database, the virtual training platform, and the new curricula.

Untangling the Gordian Knot of Aplysia sea hare egg masses: An integrated open-hardware system for standardized egg strand sizing and packaging for cryopreservation research and application

The California sea hare (Aplysia californica) provides a powerful biomedical model system for studying aspects of neurological development and damage, behavior, aging, and hypoxia. Aplysia encapsulate their zygotes within strands that result in tangled egg masses that greatly complicate culture and experimentation. The historical and current importance of Aplysia for biomedical research and the mounting climate crisis necessitates protection of Aplysia genetic resources. The goal of this work was to prototype open-hardware sizing, processing, and packaging devices for A. californica early life stages suitable for integration into a cryopreservation pathway. The Strand Centi-Sizer was a low-cost, fused filament fabrication 3-D printable device that increased experiment preparation efficiency and standardized the cutting of egg strands customizable to user needs. A downstream system of 3-D printed devices was also prototyped to address inefficiencies in handling of egg strand sections for processing and packaging into existing cryopreservation straw platforms. Time studies were conducted comparing manual methods (i.e., no specialized equipment) with open hardware to demonstrate utility of the devices and to encourage community members to design and prototype new devices to address recurrent and novel problems in other aquatic animals that produce egg strands. Improvements in design could further increase efficiency, standardization, and reproducibility, and extend the application of these devices to other research communities, such as shrimp or salamander spermatophores, sea anemone body part (e.g., pedal lacerate) cryopreservation, or study areas such as vitrification.

Parametric Design and Shape Sensing of Geared Back Frame Shell Structure for Floating Cylindrical Reflector Antenna off the Coast

At present, numerous reflector antennas have been constructed worldwide on land. However, there are few applications of reflector antennas directly set off the coast. To expand the application region of reflector antennas, a floating cylindrical reflector antenna (FCRA) driven by the moving mass was developed to implement the elevation angle adjustment. Firstly, the structure design is introduced in detail. The design parameters are stated and analyzed to obtain the kinematic relationship while considering the water surface constraint. Then, the effects of each variable on the rotation capacity and structural stability are discussed. Further, the feasibility of the elevation angle adjustment process is demonstrated by using a prototype model test and software simulation. Finally, the deformation analyses and shape sensing of the back frame are carried out on the basis of the inverse finite element method (iFEM). We concluded that this new structure is feasible and expected to sit off the coast. In addition, the iFEM algorithm with sub-region reconstruction was proved to be suitable for the shape sensing of the over-constrained FCRA during the angle adjustment process via several quasi-static sampling moments.

Interleaved x-ray imaging: A method for simultaneous acquisition of quantitative and diagnostic digital subtraction angiography.

Flow altering angiographic procedures suffer from ill-defined, qualitative endpoints. Quantitative digital subtraction angiography (qDSA) is an emerging technology that aims to address this issue by providing intra-procedural blood velocity measurements from time-resolved, 2D angiograms. To date, qDSA has used 30 frame/s DSA imaging, which is associated with high radiation dose rate compared to clinical diagnostic DSA (up to 4 frame/s). The purpose of this study is to demonstrate an interleaved x-ray imaging method which decreases the radiation dose rate associated with high frame rate qDSA while simultaneously providing low frame rate diagnostic DSA images, enabling the acquisition of both datasets in a single image sequence with a single injection of contrast agent. Interleaved x-ray imaging combines low radiation dose image frames acquired at a high rate with high radiation dose image frames acquired at a low rate. The feasibility of this approach was evaluated on an x-ray system equipped with research prototype software for x-ray tube control. qDSA blood velocity quantification was evaluated in a flow phantom study for two lower dose interleaving protocols (LD1: and LD2: ) and one conventional (full dose) protocol ( . Dose was measured at the interventional reference point. Fluid velocities ranging from 24 to 45cm/s were investigated. Gold standard velocities were measured using an ultrasound flow probe. Linear regression and Bland-Altman analysis were used to compare ultrasound and qDSA. The LD1 and LD2 interleaved protocols resulted in dose rate reductions of -67.7% and -85.5%, compared to the full dose qDSA scan. For the full dose protocol, the Bland-Altman limits of agreement (LOA) between qDSA and ultrasound velocities were [0.7, 6.7] cm/s with a mean difference of 3.7cm/s. The LD1 interleaved protocol results were similar (LOA: [0.3, 6.9] cm/s, bias: 3.6cm/s). The LD2 interleaved protocol resulted in slightly larger LOA: [-2.5, 5.5] cm/s with a decrease in the bias: 1.5cm/s. Linear regression analysis showed a strong correlation between ultrasound and qDSA derived velocities using the LD1 protocol, with a of , a slope of and an offset of cm/s. Similar values were also found for the LD2 protocol, with a of , a slope of and an offset of cm/s. The interleaved method enables simultaneous acquisition of low-dose high-rate images for intra-procedural blood velocity quantification (qDSA) and high-dose low-rate images for vessel morphology evaluation (diagnostic DSA).

Accurate generation of stochastic dynamics based on multi-model generative adversarial networks.

Generative Adversarial Networks (GANs) have shown immense potential in fields such as text and image generation. Only very recently attempts to exploit GANs to statistical-mechanics models have been reported. Here we quantitatively test this approach by applying it to a prototypical stochastic process on a lattice. By suitably adding noise to the original data we succeed in bringing both the Generator and the Discriminator loss functions close to their ideal value. Importantly, the discreteness of the model is retained despite the noise. As typical for adversarial approaches, oscillations around the convergence limit persist also at large epochs. This undermines model selection and the quality of the generated trajectories. We demonstrate that a simple multi-model procedure where stochastic trajectories are advanced at each step upon randomly selecting a Generator leads to a remarkable increase in accuracy. This is illustrated by quantitative analysis of both the predicted equilibrium probability distribution and of the escape-time distribution. Based on the reported findings, we believe that GANs are a promising tool to tackle complex statistical dynamics by machine learning techniques.

4D-DSA for Assessment of the Angioarchitecture and Grading of Cranial Dural AVF.

Time-resolved 3D rotational angiography (4D-DSA) has been used to demonstrate details of the angioarchitecture of AVM, whereas it has rarely been used to describe features of dural AVF. In this exploratory study, we analyzed dural AVFs with a novel 4D software prototype, developed and provided by Siemens, to determine whether identification of the location of the fistulous point, grading, and treatment planning were feasible. 4D-DSA volumes were calculated from existing 3D rotational angiography data sets of patients with dural AVFs. The 4D-DSA volumes were displayed in a virtual DSA mode and MPR or MIP in 3 orthogonal planes and compared with 2D-DSA by 2 experienced neuroradiologists. Fusions with unenhanced CT or MR images were used to improve visualization of adjacent anatomic structures. Comparison with 2D-DSA showed that evaluation of the fistulous point and grading according to the classification of Borden, Cognard, or Barrow was feasible in 26 of 27 cases. In 8 of 27 cases, 4D-DSA was considered advantageous for determining the fistulous point and the course of the draining vein in the dural AVF with cortical venous drainage, especially in the frontoethmoidal and frontoparietal regions. In 6 cases, the display of angioarchitecture was considered inferior to that of 2D-DSA due to motion artifacts, suboptimal selection of the injected vessel, and lack of temporal resolution. Detailed analysis of dural AVFs according to the standardized display of 4D-DSA volumes was feasible and helpful in understanding the angioarchitecture in selected cases. Further improvement and validation of the 4D software should solidify the complementary role of 4D-DSA to conventional 2D-DSA series.

A novel fully automated method for measuring ASPECTS to improve stroke diagnosis: Comparison to traditional ASPECTS.

To compare the accuracy of subjective Alberta Stroke Program Early CT Score (sASPECTS) evaluation and that of an automated prototype software (aASPECTS) on nonenhanced CT (NECT) in patients with early anterior territory stroke and controls using side-to-side quantification of hypoattenuated brain areas. We retrospectively analyzed the NECT scans of 42 consecutive patients with ischemic stroke before reperfusion and 42 controls using first sASPECTS and subsequently aASPECTS. We assessed the differences in Alberta Stroke Program Early CT Score (ASPECTS) and calculated the sensitivity and specificity of NECT with CT perfusion, whereas cerebral blood volume (CBV) served as the reference standard for brain infarction. The clot was located in the middle cerebral artery (MCA) in 47.6% of cases and the internal carotid artery (ICA) in 28.6% of cases. Ten cases presented combined ICA and MCA occlusions. The stroke was right sided in 52.4% of cases and left sided in 47.6%. Reader-based NECT analysis yielded a median sASPECTS of 10. The median CBV-based ASPECTS was 7. Compared to the area of decreased CBV, sASPECTS yielded a sensitivity of 12.5% and specificity of 86.8%. The software prototype (aASPECTS) yielded an overall sensitivity of 65.5% and a specificity of 92.2%. The interreader agreement for ASPECTS evaluation of admission NECT and follow-up CT was almost perfect (κ=.93). The interreader agreement of the CBV color map evaluation was substantial (κ=.77). aASPECTS of NECT can outperform sASPECTS for stroke detection.

SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error

Abstract Disclosure: E. Yunasan: None. J. Park: None. R. Reddy: None. M. Pennant: None. Prescribing errors involving diabetes medications on discharge are common. The complexity of prescribing insulin, especially due to multiple insulin preparations and supplies contributes to these errors. For example, In our teaching hospital between 01/2021-06/2021, among 40 patients with diabetes mellitus (DM) that were discharged home with insulin, 22 patients (55 %) were discharged without or with incorrect insulin supplies. Well-designed order -set has the potential to reduce the potential of medication errors. Here we present a case study of utilizing FIGMA prototyping software to design a new insulin discharge order set. FIGMA is a web-based user interface design tool, that enables multiple parties to collaborate and work on user experience (UX) and User Interface (UI) prototyping. The aim of this case study is to explore design considerations using FIGMA software for establishing a patient-centered, and user-friendly insulin discharge order set involving multiple stakeholders in the hospital including residents, diabetes educators, attendings, pharmacists, and endocrinologists. We conducted multiple prototyping sessions using FIGMA software. Each participant is able to work simultaneously on the discharge order set together in real-time. The prototyping sessions result in a new discharge order set, which focused on simplicity and provider efficiency in the hope to reduce prescribing errors. Here we outline the advancement in order set design. The previous order set presents 20 different types of insulin pens/syringes that are listed together with a blood glucose meter, testing strips, lancets, alcohol pads, and a lancet device. After that, providers have to manually enter the order for insulin separately. In the new order set, providers will only see 2 options, “Patient uses insulin pen”, and “Patient uses vial and syringe”. When providers choose, “Patient uses insulin pen”, the new order set would automatically pre-selected the options for insulin pen, pen needle, glucometer, testing strips, lancets, and alcohol swabs. Testing supplies options come with default instructions and prefilled quantities. Options for endocrinology, diabetes educator and transitional care referrals are also automatically pre-selected. Additional orders such as metformin, GLP-1 agonist, and SGLT-2 inhibitors are presented as options. Alternatively, if providers choose the insulin syringe option, the order set would look similar, except the order set would present pre-selected options for insulin vials that are already linked with the correct syringe size. In conclusion, creating an insulin discharge order set using FIGMA is a great way to collaborate with multiple stakeholders. This platform can also be potentially utilized in developing other order sets. Presentation: Saturday, June 17, 2023

Optimizing Rapid Prototype Development Through Femtosecond Laser Ablation and Finite Element Method Simulation for Enhanced Separation in Microfluidics

In recent years, microfluidic systems have emerged as promising tools for blood separation and analysis. However, conventional methods for prototyping microfluidic systems can be slow and expensive. In this study, we present a novel approach to rapid prototyping that combines femtosecond laser ablation and finite element method (FEM) simulation. The optimization of the prototyping process was achieved through systematic characterization of the laser ablation process and the application of FEM simulation to predict the flow behavior of the microfluidic devices. Using a dean-coupled inertial flow device (DCIFD) that comprises one channel bend and three outlets side-channels. DCIF is a phenomenon that occurs in curved microfluidic channels and is considered by the existence of inconsequential flow patterns perpendicular to the main flow direction. The DCIF can enhance the separation efficiency in microfluidic devices by inducing lateral migration of particles or cells towards specific locations along the channel. This lateral migration can be controlled by adjusting the curvature and dimensions of the channel, as well as the flow rate and properties of the fluid. Overall, DCIF can provide a valuable means of achieving efficient and high-throughput separation of particles or cells in microfluidic devices. Therefore, various microfluidics designs that contain different outlet channels were studied in this research to improve blood plasma separation efficiency. Results from imitated blood flow experiments showed positive results for fluid flow and particle separation. The study also found that incorporating three various channel widths is the key to achieving efficient plasma separation, indicating that this result could serve as a guideline for future microfluidics geometry specifications in the field of blood plasma separation. According to the FEM simulation, the highest separation percentage for both microparticle sizes was obtained by incorporating a variable outlet channel width into the same microfluidic device. The FEM simulation revealed that around 95% of the larger microparticles separated while 98% of the smaller microparticles separated. This is consistent with the imitated blood separation results, which showed that 91% of the larger microparticles separated and around 93% of the smaller microparticles were separated. Overall, our results demonstrate that the combination of femtosecond laser ablation and FEM simulation significantly improved the prototyping speed and efficiency while maintaining high blood separation performance.

A literature review to determine the availability of materials for application in 3D printing processes within the Brazilian construction industry

In the present day, the civil construction industry grapples with various challenges, including low productivity, a shortage of skilled labour, resistance to technological innovations, and significant environmental impacts. Extensive literature underscores the urgency of modernizing the sector by embracing new technologies such as digital prototyping and advanced manufacturing processes. In light of these considerations, this article aims to assess the range of materials available for 3D printing to determine the feasibility of integrating this technology into the Brazilian civil construction industry (BCI). Through a comprehensive analysis of materials currently in use, drawn from scientific research, it becomes evident that mortar-based materials are emerging as a preferred choice for 3D printing components within civil construction. Considering that the Brazilian construction sector already heavily relies on cement as its primary material for constructing the built environment, a promising landscape unfolds for the gradual adoption and integration of three-dimensional printing technology into the industry. This alignment with existing practices and materials positions the BCI favourably for embracing the potential of 3D printing.