Reliable Characteristics Research Articles

A versatile gas transmission device with precise humidity control for QCM humidity sensor characterizations

Previously, several high-sensitivity and inexpensive humidity sensors with rapid response times have been reported. However, obtaining reliable humidity characteristics of highly sensitive devices, such as quartz crystal microbalance (QCM) sensors, requires the development of new, affordable gas transmission setups. With that in mind, we developed a novel, comprehensive gas transmission system that combined elements from two commonly used systems (saturated salts and gas mixing), which facilitated automatic gas humidity changes, reliable gas flows in closed measurement chambers, and limited the influence of the external atmosphere/pollutants. The gas transmission device performance was tested using a commercial digital hygrometer and highly sensitive QCM coated with graphene oxide for six different humidity sets in range 5.3–82.6% RH. The dynamic repeatability tests proved the superb stability of the system, as QCM frequency deviation did not exceed 2% of frequency shifts among ten switching cycles (one hour each). Therefore, this system allowed a thorough investigation of humidity sensors properties in a controlled environment with a high precision.

Recent Progress in Visualization and Analysis of Fingerprint Level 3 Features.

Fingerprints provide sufficient and reliable discriminative characteristics which have been considered one of the most robust evidence for individualization. The limitation of current minutiae-based fingerprint technology seems to be solved with the development of level 3 features since they can offer additional information for problematic fingerprint recognition and even donor profiling. So far, tremendous efforts have been devoted to detecting and analysing the third-level details. This review summarizes the advances in level 3 details with an emphasis on their reliability assessment, visualization methods based on physical interaction, residue-response, mass spectrometry and electrochemical techniques, as well as the potentiality for individualization, donor profiling and even other application scenarios. In the end, we also give a personal perspective on the future direction and the remaining challenges in the third-level-detail-related field. We believe that the new exciting progress is expected in the development of level 3 detail detection and analysis with continued interest and attention to this field.

The effect of venting structures on overpressure caused by an indoor explosion

Introduction. The article considers an accidental indoor gas explosion on condition of pressure relief through openings in which venting structures were installed.A solution to this problem can protect residential buildings from consequences of explosions due to the fact that the volume of premises in residential buildings is small compared to industrial buildings, and it determines more stringent pressure relief conditions at the initial moment of the explosion development. The article shows that pressure can reach critical values in a small space during the motion of a venting structure in the opening before the onset of pressure relief.Goals. The authors aim to identify the pattern of blast load development from the moment of explosion to the attainment of the maximum pressure value with account taken of the properties of venting structures and patterns of their opening. This goal is relevant due to the fact that until now at this stage pressure development has been considered without any account taken of how deeply the venting structure is installed in the wall opening. Much attention was focused on the selection of the opening size.Methods. The methods of the theory of dimensions, numerical and analytical modeling of explosion processes, patterns of gas escape and rigid body motion were applied to obtain dimensionless groups describing the development of an explosive load until maximum values. These dimensionless groups allow identifying explosive loads for rooms having different volumes, which is also a new result.Results. In this work, the influence of individual factors on the ultimate result has been identified. These factors are the room volume, the pressure at which the venting structure starts moving, the mass and position of the venting structure in the opening, the opening perimeter and the rate of explosive combustion.Conclusions. The results, obtained in the course of this work, allow identifying the dynamic load of an explosion at the stage of its growth. This value can be used to set more reliable bearing characteristics of structures for cases of accidental explosions in living accommodations.

Magnitude Filter Combined with Mass Filter: A Reliable Strategy to Improve the Reproducibility of ESI-FT-ICR-MS Analysis on the Fingerprint of Dissolved Organic Matter.

Dissolved organic matter (DOM) has been used frequently to distinguish different environmental samples based on its abundant fingerprint information. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is the most powerful technique to analyze the complex composition of DOM. Balancing between the reproducibility of peak magnitude and peak diversity is a key factor for achieving reliable and reproducible fingerprint information of DOM with FT-ICR-MS. In this paper, a novel magnitude filter (MGF) method and a novel MS-MGF strategy were proposed to improve the data reproducibility of FT-ICR-MS analysis. With the MS-MGF strategy, a 20% magnitude filter threshold (TMGF) was recommended to remove magnitude outliers, and a relatively low signal-to-noise ratio (SNR) threshold of 3.5 was recommended to retain those low but stable-magnitude peaks. The total relative magnitude was recommended since it could obtain better reproducibility of MS analysis compared to other types of peak magnitude. In addition, three replicates were enough to obtain satisfactory reproducibility. More importantly, the proposed MS-MGF strategy was also adaptable to different FT-ICR-MS instruments and different experimental conditions. Overall, the results are expected to initiate the promising applications of the MS-MGF strategy to distinguish the reliable fingerprint characteristics of DOM samples from different sources.

Experimental investigation on mechanical characteristics of low-voltage driving traveling-wave ultrasonic motor with the flexible rotor

Classical traveling-wave ultrasonic motors (TWUMs) usually generate the elliptical clusters on the stator surface through the bending vibration of the annular stator on the basis of piezoelectric excitation, and the torque output and power transmission are realized by friction coupling under the rational preload. Stable and reliable working characteristics attracted the focus of various applications. High energy consumption and low efficiency are restricted factors for the service performance of motors. Displacement amplification and stress regulation based on flexible design become a possible approach to improve motor performances. In this study, a TWUM30 prototype was proposed with consideration of (sub) structure optimization, i.e., tooth height and backlash of the stator elastomer. The flexible design of the rotor structure was carried out for consideration of the contact area and stress regulation. After integrated bonding of the stator and PZT4, the electrical and vibration characteristics of the stator prototype are measured by an impedance analyzer and high-precision laser micro-displacement sensor. Results showed that the proposed TWUM30 is capable of operation under low-voltage driving (41.9 kHz @ 80 Vp), and the extreme mechanical performances presented the stall toque of 64mN∙m and the no-load speed of 153.8 rpm. With the combination of the flexible design and systematic integrated manufacturing of the stator/rotor, low-voltage driving of the TWUM30 motor under ultra-low preload was realized at low cost and the adverse effects of excessive preload were suppressed. This study is expected to provide support for high reliability design and long-life service of the TWUMs. It also provides a realistic possibility for the flexible design and application of energy-saving and high-efficient traveling-wave piezoelectric drivers.

공정 산포에 강한 1.2 kV급 SiC MOSFET 설계

A design of a 1.2 kV SiC MOSFET for reliable characteristics against process dispersion is presented. The profile of p-base concentration was designed in consideration of incomplete ionization and electric field crowding at the gate oxide. The structure of RA-JTE was optimized in consideration of surface charge density and critical dimension. The 1.2 kV SiC MOSFET with the optimized design parameters showed reliable characteristics against process dispersion.

Dot‐Product Operation in Crossbar Array Using a Self‐Rectifying Resistive Device

AbstractReducing computational complexity is essential in future computing systems for processing a large amount of unstructured data simultaneously. Dot‐product operations using crossbar array devices have attracted considerable attention owing to their simple device structure, intuitive operation scheme, and high computational efficiency of parallel operation. The resistive switching device is considered a promising candidate as the main data storage in the crossbar array owing to its highly reliable performance. In this study, a tri‐layer TaOx/Al2O3/Ti:SiOx‐based resistive switching device is proposed. The proposed device exhibits a high electrical selectivity of 2.5 × 105 based on the optimized biasing scheme, a stable non‐volatility, and reliable read disturbance characteristic of up to 108. Additionally, the device achieves high reading current of 1 µA and a low off‐leakage current of 1 pA, which favors the reliable characteristics in the data writing sequence and the dot‐product operation in the crossbar array device. Furthermore, the resistive switching mechanism based on the material and electrical conduction characteristics is analyzed. Lastly, the dot‐product operation in an 8 × 8 crossbar array is performed. As a result, the calculated and measured signal values in each column in the crossbar array of the device are found to be in good agreement.

Predictive Models for Equine Emergency Exploratory Laparotomy in Spain: Pre-, Intra-, and Post-Operative-Mortality-Associated Factors.

Simple SummaryColic syndrome poses a potentially devastating situation in equine patients. Therefore, the prediction of survival has been an important research area over the years, especially in surgical cases. However, prognoses and survival rates are highly diverse in different populations. Many clinically relevant and numerical variables have been used in several large-scale studies. We aimed to determine the survival percentage and other predictive variables in a specific population with concrete characteristics in Spain, in an attempt to predict prognosis and survival using only easily accessible variables.The extrinsic and intrinsic characteristics of an equine population may influence the onset of gastrointestinal lesions and affect the survival rate of patients. The equine population in Spain has been the focus of a small number of studies, none of which have involved more than one surgical center. In this retrospective cohort study, we aimed to analyze the survival rate, identify the variables that influenced death, and generate multivariate models using clinical variables. Data were collected from the clinical records of two surgical referral centers in the same region, and a total of 566 horses met the inclusion criteria. The statistical analysis was divided into three parts: The first and second included logistic analysis, in order to identify the variables most closely associated with survival. The third part assessed all previous variables in terms of survival and hospitalization time, using a COX survival analysis. The main risk factors associated with intra-operative mortality were related to seasonality (winter and summer), patient age (older than 9 years), distance from the hospital, the presence of a strangulating lesion, and the bowel segment affected (small intestine). Furthermore, the main factors associated with mortality during hospitalization were the characteristics of the lesions (strangulating) and the differences between surgical centers. The models generated in this study have good predictive value and use only reliable and easily obtainable variables. The most reliable characteristics are those related to the type of colic and the location of the lesion.

Combinatorial Physical Vapor Deposition : A New Methodology for Exploring Eco‐friendly Composition for Halide‐based Resistive Switching Memory

AbstractDue to the excellent charge mobility and tunable composition engineering, halide materials are being considered as new resistive switching (RS) memory materials. However, conventional halide materials‐based RS memory devices primarily comprise lead‐based compounds and solution‐based processes, implying that researching new compositions for eco‐friendly RS memory one‐by‐one synthesis would be extremely time consuming. This study reports the fabrication of an eco‐friendly RS memory composition using a combinatorial physical vapor deposition (PVD) technique. The fabricated films are classified into three device types: RS memory, write‐only‐read‐many, and insulator device type, based on the mole fraction of bismuth sulfide (Bi2S3). The 0.75BiI3–0.25Bi2S3 mixture devices exhibit reliable and stable RS memory characteristics with an electroforming‐free process. Additionally, the study of cohesive, formation, and migration energies via first‐principles simulations demonstrate that the type of device changes because of their inability to develop and migrate their anion vacancies, implying that the amorphous nature of the device cannot retard the movement of iodine vacancies. This study is the first to investigate a new composition of eco‐friendly halide materials‐based RS memory via the combinatorial PVD method. These findings will serve as a powerful tool for investigating new compositions of eco‐friendly RS memory.

Detection of Ischemic Colitis on Routine Lower Endoscopy and Its Implications After Repair of Ruptured Abdominal Aortic Aneurysm.

Ischemic colitis (IC) is a known significant complication after repair of a ruptured abdominal aortic aneurysm (rAAA). Lower endoscopy (colonoscopy or flexible sigmoidoscopy) is a helpful adjunct to aid decision making for surgical exploration. We believe routine use of lower endoscopy after rAAA repair provides better patient care through expeditious diagnosis and surgical care. We performed a retrospective chart review of rAAA repairs from 2008 to 2019. All patients undergo screening lower endoscopy after rAAA repair at our institution. The incidence of IC, mortality, and diagnostic characteristics of routine lower endoscopy was analyzed. Of these, 182 patients underwent rAAA repair, among which 139 (76%) underwent routine lower endoscopy. Ischemic colitis of any grade was diagnosed in 25% of patients. The 30-day mortality was 11% compared to 19% in those without lower endoscopy. The presence of IC portended a 4-fold increase in mortality rate compared to those without (26% vs 6%, P = .005). Surgical exploration rate was 8% after routine lower endoscopy. Grade III ischemia on lower endoscopy had a sensitivity of 50% (95% CI 12-88) and specificity of 99% (95% CI 94-100) for transmural necrosis. We found increased incidence of IC and reliable diagnostic characteristics of routine lower endoscopy in predicting the presence of transmural colonic ischemia. There was decreased mortality with use of routine lower endoscopy but this was not statistically significant.

Rare Earth Element Geochemistry of Late Cenozoic Island Carbonates in the South China Sea

Marine carbonates, precipitating from seawater through inorganic geochemical and biogeochemical processes, are considered to have recorded the seawater geochemical signatures reflecting the marine environmental conditions during their formation. However, they are susceptible to post-depositional diagenetic alteration. The redox conditions and chemical composition of the diagenetic fluid may be different from those of the overlying seawater. Therefore, assessing whether carbonate rocks that have experienced variable diagenesis could still preserve primary seawater geochemistry is a prerequisite before inferring ancient marine environments using geochemical tracers such as the cerium anomaly (Ce/Ce*). Here, we investigate rare earth elements plus yttrium (REY) geochemical features of reefal carbonates from the XK-1 core in the Xisha Islands of the South China Sea. We aim to evaluate whether island carbonates have the potential to preserve reliable primary seawater REY geochemical characteristics after experiencing meteoric diagenesis, marine burial diagenesis, or dolomitization. The results show that even after variable diagenetic alteration, all carbonate samples exhibit seawater-like REY patterns, which are characterized by negative Ce anomalies (Ce/Ce* < 1), distinctively high Y/Ho ratios (>44), and uniform depletion of light rare earth elements (LREE) relative to heavy rare earth elements (HREE) ((Pr/Yb)N < 1). This suggests that the original seawater REY signatures are retained, regardless of varying degrees of changes in the mineralogical composition, diagenetic fluid composition, and redox state. The unmodifiable REY characteristics in carbonates during diagenesis can be attributed to three aspects: (1) during meteoric diagenesis, the low REY content of meteoric fluids and the short-term reactions between fluids and carbonates make it difficult to significantly alter the REY composition of carbonates; (2) during marine burial diagenesis, the ubiquitous cementation creates a relatively closed environment that facilitates the inheritance of REY signatures from primary carbonates; (3) during dolomitization, the dolomitizing fluids derived from penecontemporaneous seawater would not destroy but rather promote the preservation of the original seawater REY signatures in dolostones. The Ce/Ce* variations indicate that the Xisha carbonates have been deposited under constantly oxic conditions since the Neogene, consistent with paleontological and redox-sensitive element geochemical evidence.

Influences of Boundary Temperature and Angular Velocity on Thermo-Elastic Characteristics of a Functionally Graded Circular Disk Subjected to Contact Forces

The behaviors of functionally graded (FG) engineering structures are influenced by various parameters, such as the boundary temperature, the angular velocity, variations in the thickness, the weight of the structure, and the loading state. The thermo-elastic characteristics of FG rotating circular disks under the loading of contact forces were investigated. Hooke’s law in plane stress problems was applied to derive a pair of partial differential equations and a finite volume method was developed due to the complexity of the governing equations. The thermo-elastic characteristics of the FG rotating disks were investigated according to the variations in their outer boundary temperature and angular velocity. The increase in the outer boundary temperature caused crack generation at the inner surface of the circular disk and on the opposite side to the loading point. The increase in the angular velocity caused unstable thermo-elastic behaviors near the area of the outer boundary surface, especially at 0.7<(r−a)/(b−a) < 0.9, and may have led to crack generation at the outer surface of the rotating disk. These results may be applied to the design of functionally graded circular cutters or grinding disks undergoing contact forces to produce proper and reliable thermo-elastic characteristics for practical applications.

The "hump" a new arthroscopic phenomenon guiding for reliable therapy of osteochondritis dissecans of variable stability status.

Despite 150years of research, there are currently no reliable morphological characteristics that can be used to differentiate between stable and unstable juvenile osteochondritis dissecans (JOCD) lesions in the knee joint. Arthroscopic probing is still the gold standard. In arthroscopic evaluation, a previously undescribed pattern of a cartilaginous convex elevation ("hump") was identified as a new feature and potential sign of JOCD in transition to instability. The aim of the study was to evaluate the clinical outcomes after surgical intervention (drilling) on the "hump". In a retrospective case series of sixteen patients with an arthroscopically detectable "hump", the analysis of clinical function scores (Lysholm, Tegner) and morphological MRI monitoring of radiological healing were performed. The assessment of lesion healing was based on pre- and postoperative MRI examinations. The "hump" was defined as an arthroscopically impressive protrusion of the femoral articular surface with a minimally softened, discolored, but intact cartilage margin that, is not mobile upon in the arthroscopic palpation hook test. The primary therapy of choice was drilling of all "humps". The "hump" could be detected arthroscopically in 16 of 59 JOCD lesions. Specific MRI correlations with the "hump" or arthroscopic unstable lesions could not be detected. Not all "humps" showed signs of MRI-based healing after the drilling, and in some a dissection of the osteochondral flap occurred within the first postoperative year. As a result, secondary refixation became necessary. In the present study, the "hump" was identified as an important differential diagnostic arthroscopic feature of an arthroscopically primarily stable JOCD lesion, potentially placing the lesion at risk of secondary loosening over time. Therefore, drilling alone may not be appropriate in the event of arthroscopic "hump" discovery, but additional fixation may be required to achieve the healing of the lesion. III.

Emerged human-like facial expression representation in a deep convolutional neural network.

Recent studies found that the deep convolutional neural networks (DCNNs) trained to recognize facial identities spontaneously learned features that support facial expression recognition, and vice versa. Here, we showed that the self-emerged expression-selective units in a VGG-Face trained for facial identification were tuned to distinct basic expressions and, importantly, exhibited hallmarks of human expression recognition (i.e., facial expression confusion and categorical perception). We then investigated whether the emergence of expression-selective units is attributed to either face-specific experience or domain-general processing by conducting the same analysis on a VGG-16 trained for object classification and an untrained VGG-Face without any visual experience, both having the identical architecture with the pretrained VGG-Face. Although similar expression-selective units were found in both DCNNs, they did not exhibit reliable human-like characteristics of facial expression perception. Together, these findings revealed the necessity of domain-specific visual experience of face identity for the development of facial expression perception, highlighting the contribution of nurture to form human-like facial expression perception.

CeO2 Doping of Hf0.5Zr0.5O2 Thin Films for High Endurance Ferroelectric Memories

AbstractFerroelectric switching is demonstrated in CeO2‐doped Hf0.5Zr0.5O2 (HZCO) thin films with application in back‐end‐of‐line compatible embedded memories. At low cerium oxide doping concentrations (2.0–5.6 mol%), the ferroelectric orthorhombic phase is stabilized after annealing at temperatures below 400 °C. HZCO ferroelectrics show reliable switching characteristics beyond 1011 cycles in TiN/HZCO/TiN capacitors, several orders of magnitude greater than identically processed Hf0.5Zr0.5O2 (HZO) capacitors, without sacrificing polarization and retention. Internal photoemission and photoconductivity experiments show that CeO2‐doping introduces in‐gap states in HZCO that are nearly aligned with TiN Fermi level, facilitating electron injection through these states. The enhanced average bulk conduction, which may lead to more uniform thermal dissipation in the HZCO films, delays irreversible degradation via breakdown that leads to device failure after repeated programming cycles.

Cathode structural design enabling interconnected ionic/electronic transport channels for high-performance solid-state lithium batteries

Great achievements have been accomplished for high performance solid-state electrolytes, however, the poor electrode/electrolyte interfacial contact severely impedes the development of solid-state lithium batteries (SSLBs). Herein, we design a 3D structural composite cathode based on cross-linked electrospun LiNi0.5Co0.2Mn0.3O2 (ES-NCM) network and ductile Li+ conductive polymer electrolyte. Improved electrochemical kinetics and intimate interface are realized through infiltrating polymer precursor into ES-NCM network followed by in-situ polymerization. Assembled with Li1.3Al0.3Ti1.7(PO4)3-polyvinylidene fluoride (LATP-PVDF) solid electrolyte, the composite ES-NCM||LATP-PVDF||Li battery exhibits satisfactory electrochemical performance (with an initial discharge capacity of 143.2 mAh g−1 at 0.1C and a capacity retention of 74.0% after 80 cycles) since continuous Li+/e− conduction channels are generated by ES-NCM skeleton and Li+ conductive polymer. Besides, the high areal capacity of 1.19 mAh cm−2 at a high ES-NCM loading of 9.28 mg cm−2 further supports the feasibility of our composite cathode design in the application of high energy-density SSLBs. Additionally, the flexible solid-state pouch cell exhibits excellent electrochemical performance (with a discharge capacity of 131.6 mAh g−1) and reliable safety characteristics under mechanical abuse. This work is anticipated to provide a new perspective in overcoming solid-solid contact issues in SSLBs.

Unrevealing Reliable Cortical Parcellation of Individual Brains Using Resting-State Functional Magnetic Resonance Imaging and Masked Graph Convolutions.

Brain parcellation helps to understand the structural and functional organization of the cerebral cortex. Resting-state functional magnetic resonance imaging (fMRI) and connectivity analysis provide useful information to delineate individual brain parcels in vivo. We proposed an individualized cortical parcellation based on graph neural networks (GNN) to learn the reliable functional characteristics of each brain parcel on a large fMRI dataset and to infer the areal probability of each vertex on unseen subjects. A subject-specific confidence mask was implemented in the GNN model to account for the tradeoff between the topographic alignment across subjects and functional homogeneity of brain parcels on individual brains. The individualized brain parcellation achieved better functional homogeneity at rest and during cognitive tasks compared with the group-registered atlas (p-values < 0.05). In addition, highly reliable and replicable parcellation maps were generated on multiple sessions of the same subject (intrasubject similarity = 0.89), while notable variations in the topographic organization were captured across subjects (intersubject similarity = 0.81). Moreover, the intersubject variability of brain parcellation indicated large variations in the association cortices while keeping a stable parcellation on the primary cortex. Such topographic variability was strongly associated with the functional connectivity variability, significantly predicted cognitive behaviors, and generally followed the myelination, cytoarchitecture, and functional organization of the human brain. This study provides new avenues to the precise individualized mapping of the cortical areas through deep learning and shows high potentials in the personalized localization diagnosis and treatment of neurological disorders.

Clinical Characteristics of Patients with Pulmonary Thromboembolism Based on Computer Statistical Analysis.

In order to explore the reliable clinical characteristics of patients with pulmonary thromboembolism, this paper applies computer statistical analysis methods to the analysis of clinical characteristics of patients with pulmonary thromboembolism. Moreover, starting from the actual situation, this paper combines experiments to study the case, uses sample screening and sample processing to group samples freely, and conducts grouping reliability research through data statistics methods. After verifying the reliability of the grouping, this paper combines the samples to test the effectiveness of the computer statistical analysis method applied to the clinical characteristic analysis of patients with pulmonary thromboembolism and conducts numerical analysis in combination with the comparative analysis method. The results of the research show that the computer statistical method proposed in this paper has a good effect on the clinical characteristics of patients with pulmonary thromboembolism and meets the actual needs of clinical analysis.

Iron regulates the interfacial charge distribution of transition metal phosphides for enhanced oxygen evolution reaction

Using earth abundant elements to develop oxygen evolution reaction (OER) electrocatalysts presents one of the most promising strategies to generate clean and renewable energy systems to deal with the ever-growing energy crisis. The challenge comes as how to rationally design the chemical composition and nanostructure to increase the OER efficiency. In this work, we demonstrated an operational ion strategy to improve OER performances of iron cobalt bimetallic phosphide (Fe0.5Co-P), which was fabricated by simultaneous annealing and phosphating metal organic framework (MOF) precursors. The iron regulates the charge density of the Co sites, changing the electronic structure of the phase interface for endowing dramatically enhanced OER activity. The Fe0.5Co-P catalyst possesses excellent durable and reliable characteristics and exhibits dramatically enhanced OER efficiency with an overpotential of only 260 mV to drive a current density of 10 mA cm−2 and a Tafel slope of 65.53 mV dec-1 in 1.0 M KOH. The work provides useful insights into the design and synthesis of multicomponent metal phosphides-based OER catalysts for practical application in water splitting.

Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult.

BackgroundTreatment decisions in myocardial infarction (MI) are currently stratified by ST elevation (ST‐elevation myocardial infarction [STEMI]) or lack of ST elevation (non‐ST elevation myocardial infarction [NSTEMI]) on the electrocardiogram. This arose from the assumption that ST elevation indicated acute coronary artery occlusion (OMI). However, one‐quarter of all NSTEMI cases are an OMI, and have a higher mortality. The purpose of this study was to identify features that could help identify OMI.MethodsProspectively collected data from patients undergoing percutaneous coronary intervention (PCI) was analyzed. Data included presentation characteristics, comorbidities, treatments, and outcomes. Latent class analysis was undertaken, to determine patterns of presentation and history associated with OMI.ResultsA total of 1412 patients underwent PCI for acute MI, and 263 were diagnosed as OMI. Compared to nonocclusive MI, OMI patients are more likely to have fewer comorbidities but no difference in cerebrovascular disease and increased acute mortality (4.2% vs. 1.1%; p < .001). Of OMI, 29.5% had delays to their treatment such as immediate reperfusion therapy. With latent class analysis, while clusters of similar patients are observed in the data set, the data available did not usefully identify patients with OMI compared to non‐OMI.ConclusionFeatures between OMI and STEMI are broadly very similar. However, there was no difference in age and risk of cerebrovascular disease in the OMI/non‐OMI group. There are no reliable characteristics therefore for identifying OMI versus non‐OMI. Delays to treatment also suggest that OMI patients are still missing out on optimal treatment. An alternative strategy is required to improve the identification of OMI patients.