_ Artificial intelligence(AI) techniques that use machine learning, particularly deep learning algorithms, have indeed been widely used and demonstrated superior demonstrated superior in recent years. It has excelled in a range of disciplines. As an academic study topic and a solutions to different Internet of Things concerns, machine learning is gaining traction. In several sectors, The Internet of Things makes use of machine learning. To gain a thorough picture of the various advancements, this survey conducts a stand-alone examination of machine learning as well as IoT applications in healthcare systems. In recent IoT research, there are a lot of machine learning (ML) systems have been investigated in order to increase the efficiency of use. This research was conducted to find out more about, we examine and report on current methods to machine learning algorithms. The goal of this paper is to lay out a research plan for looking into various machine learning methodologies and their impact on e-health systems based on IoT technology.

Background; We here present a first intraspecific eco-variant post natal attempt at evaluation of skull signaling in the small African pangolin (Boreoeutheria) family, sub-family phatagininae emphasizing evolutionary trend in ontogeny. Forty; digitally processed skulls and foramen magnum outlines of this species from different geo-locations were assessed for asymmetry, foramen magnum shape variations and modularity hypotheses on skull areas using geometric and Elliptical Fourier analyses methods. Results; Regression of log transformed centroid size and asymmetric components suggested significant expression of asymmetry through ontogeny (p˂0.03) with size accounting for 81.34% of asymmetric shape changes. Multivariate analysis of regression confirmed directional but low (p˂0.5) fluctuating asymmetry (F1539=3.4045, F882= 3.2665, for dorsal and ventral views respectively). Intraspecific ontogenetic allometric trajectories followed rostro-caudal and caudo-lateral directions; intercepts for shape/size predictions were parallel. Mahalanobis distances between centroids (2.42) of specimens were significant (p˂ 0.01). Variance-covariance matrix in ontogeny lies between 0.0017 and 0.56 suggestive of shape overlaps and variations. Foramen magnum outline descriptors by incremental harmonics explained morphologic details; the first 4 effective principal components defined 96.98% of shape properties, while (3.02%) constituted finer details. 74.1% accuracy decline after size factor elimination. Modulation PCA: of Covariance Matrix and Asymmetry component was 88.38% and 7.48% (PC1 and 2) variance % predicted 10.08%. Conclusions; The study confirmed directional ‘handedness’ and fluctuating asymmetries among skull samples studied, an attenuated ability to maintain paired symmetric bilaterality irrespective of geo-location. Foramen magnum shape assumed priority over size in ontogeny with profound asymmetry (from the 5th harmonic); an indication of precocity and early presumptive form for arboreal adaptation this observation in conjunction with modularity inference suggested instability and global weakness of cranial integration processes and modules. These findings will be of value for species conservation and may be vital in pangolin evolutionary systematics.

Semantic memory remains relatively stable with normal cognitive aging and declines in early stages of neurodegenerative disease. We measured electroencephalography (EEG) oscillatory correlates of semantic memory retrieval to examine the effects of normal and pathological aging. Twenty-nine cognitively healthy young adults (YA), 22 cognitively healthy aging adults (HA), and 20 patients with mild cognitive impairment (MCI) completed a semantic memory retrieval task with concurrent EEG recording in which they judged whether two words (features of objects) led to retrieval of an object (retrieval) or not (non-retrieval). Event-related power changes contrasting the two conditions (retrieval vs. non-retrieval) within theta, alpha, low-beta, and high-beta EEG frequency bands were analyzed across time to examine normal aging (YA versus HA) and pathological aging effects (HA versus MCI). Though no behavioral differences between the cognitively healthy groups were observed, we found later theta and alpha power differences between conditions only in YA, and a high-beta power difference between conditions only in HA. For pathological aging effects, we found reduced accuracy in MCI. While we found different EEG patterns of early beta power differences between conditions in MCI compared to HA, a low-beta power difference between conditions was found only in HA. We conclude that the aging brain relies on faster (beta) oscillations during the semantic memory task. With pathological aging, retrieval accuracy declines and patterns of beta oscillation changes. The findings improve understanding on age-related neural mechanisms underlying semantic memory and have implications for early detection of pathological aging.

Alzheimer’s disease (AD) is a neurological ailment that primarily affects the elderly and necessitates an efficient treatment regimen backed up by extensive care. At the moment, treatment for AD is still in its early stages and is often regarded as insufficient by the medical community, with synthetic medications commonly used that have several side-effects. Consequently, research groups are constantly attempting to improve its early detection, particularly through biomarkers, as well as to find effective complementary and alternative therapies for its management. Medicinal plants have long been used as a source of biomolecules as well as complementary medicines. Africa ranks second among biodiversity hotspots in the world due to geographical variances in distribution and vegetation zones. In comparison to nations like India and China, it is believed that much of its biodiversity remains unexplored, and that it may be home to many previously unknown medicinal plants. This calls for more research on African medicinal herbs and finding a key remedy to treat and manage AD. The major scientific biomedical literature databases viz. PubMed, Scifinder, The Lens, Google Scholar, etc. were accessed and the information available till September 2022 was reviewed, with a focus on documenting such herbs along with their active biomolecules that could lead to noble drugs against AD. Also, the review has looked up on the risk factors prevalent among African communities to have a perspective on how race may affect AD risk and expression.

Despite vigorous anti-corruption initiatives, the corruption scourge has reached epidemic proportions in Malaysia. This paper seeks to comprehend the public opinion of different stakeholders on the various manifestations of corruption in Malaysia.

In this paper, the prescribed tracking performance control problem is addressed for uncertain nonlinear systems with unknown periodically time-varying parameters and arbitrary switching signal. By utilizing radial basis function neural network and fourier series expansion, an approximator is developed to overcome the difficulty of identifying unknown periodically time-varying and nonlinearly parameterized functions. To achieve the ideal tracking control performance and eliminate the influence of filtering error, a performance function is constructed in advance, and then, a novel command filter-based adaptive neural network controller and a new compensating signal are designed. Differently from the traditional Backstepping technique, the proposed control scheme eliminates the “explosion of complexity” problem and relaxes the constraint condition on the reference signal. And then, it is warranted that the closed-loop system is semi-globally ultimately uniformly bounded and the tracking error is always limited to the specified region bounded by the performance functions. Two simulation examples are used to demonstrate the feasibility of the developed technique in this paper.

In order to effectively improve the work efficiency of the International Affairs Department, this paper proposes a coordination management and competition analysis of the International Affairs Department based on MS-VAR model. The main content of this method is based on the relevant research of MS-VAR model. This paper analyzes the impulse response function of each variable of the model, uses short-term international capital flow analysis, and finally constructs a system based on MS-VAR model through data calculation. The results showed that 33.76% of the samples were in the state of Zone 1, and the duration reached 8.8; 66.24% of the samples were in the system 2, and the duration reached 17.27. In general, the two systems had high stability. The technical method based on MS-VAR model can provide an effective and accurate way for the International Affairs Department to coordinate management and competitive analysis.

Among the animal species on which observations are available, humans have a uniquely high lifetime risk to suffer from cancer - over 38%, compared to less than 10% for all observed other species (except species suffering from environmental pollution). Peto’s paradox shows that this cannot simply be explained by mathematical models which view cancer genesis as a stochastic process, with resulting risks polynomial in lifespan and body mass - whales have a longer lifespan and about 30 times the human body mass, however their cancer risk remains constant throughout their life rather than increasing sharply after female reproductive age as observed in humans. Rather, it is well documented in the literature that species-specific tumour suppression mechanisms allow for large lifespan and body mass. Chimpanzees, being closely related to humans, have a very low cancer risk, and hence the weakness of human cancer defence is likely to have resulted from the specific development of homo sapiens. As this weakness appears past the reproductive years, a prominent hypothesis blames it to antagonistic pleiotropy. However, homo sapiens having lived in small tribes during most of its development, natural selection is likely to also have acted at the level of tribes, and higher degrees of inbreeding would quite certainly have been detrimental to a tribe. And males of high social status can attract new reproductive partners again and again until an age that has seen several generations grow, which in case of a not-so-large tribe would have considerably narrowed down its genetic pool. Furthermore, lowering tumour suppression activities might save calories and hence benefit tribes with limited food production; and individuals suffering from cancer after female reproductive age could still have made contributions to parental/grandparental care, while no more being attractive as a reproductive partner. Is creeping abandon of human cancer defences evolutionarily favoured?

Despite growing interactions between ecology and evolution, there still remain opportunities to further integrate the two disciplines, especially when considering multispecies systems. Here, we discuss two such opportunities. First, we suggest to relax the focus on the distinction between evolutionary and ecological processes. This focus is particularly unhelpful in the study of microbial communities, where the very notion of species is hard to define. Second, we propose that key processes of evolutionary theory such as adaptation should be exported to hierarchical levels higher than populations to make sense of biodiversity dynamics. Together, we argue that broadening our perspective of eco-evolutionary dynamics to be more inclusive of all biodiversity, both phylogenetically and hierarchically, will open up fertile new research directions and help us to address one the major scientific challenges of our time, i.e. to understand and predict changes in biodiversity in the face of rapid environmental change.

Cantharidin (CTD), extracted from the traditional Chinese medicine mylabris, has shown significant curative effects against a variety of tumors, but its clinical application is limited by its nephrotoxicity, and the underlying molecular mechanisms remain unclear. In this study, we investigated the toxic effects in mouse kidneys following CTD treatment by pathological observations, biochemical index detection, and transcriptomics, and explored the underlying molecular mechanisms by RNA sequencing (RNA-seq). The results showed that after CTD exposure, the kidneys had different degrees of pathological damage, altered uric acid and creatinine levels in serum, and the antioxidant indexes in tissues were significantly increased. RNA-seq analysis revealed 674 differentially expressed genes compared with the control group, of which 131 were upregulated and 543 were downregulated. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses showed that many differentially expressed genes were closely related to the stress response, the CIDE protein family, and the transporter superfamily, as well as the MAPK, AMPK, and HIF-1 pathways. The reliability of the RNA-seq results was verified by qRT-PCR. These findings offer new insight into the molecular mechanisms of renal toxicity caused by CTD.

Acquired temporal lobe epilepsy (TLE) characterized by spontaneous recurrent seizures (SRS) and hippocampal inhibitory neuron dysfunction is often refractory to current therapies. Gap junctional or electrical coupling between inhibitory neurons has been proposed to facilitate network synchrony and intercellular molecular exchange suggesting a role in both seizures and neurodegeneration. While gap junction blockers can limit acute seizures, whether blocking neuronal gap junctions can modify development of chronic epilepsy has not been examined. This study examined whether mefloquine, a selective blocker of Connexin 36 gap junctions which are well characterized in inhibitory neurons, can limit epileptogenesis and related cellular and behavioral pathology in a model of acquired TLE. A single, systemic dose of mefloquine administered early after pilocarpine-induced status epilepticus (SE) in rat reduced both development of SRS and behavioral co-morbidities. Immunostaining for interneuron subtypes identified that mefloquine treatment likely reduced delayed inhibitory neuronal loss after SE. Uniquely, parvalbumin expressing neurons in the hippocampal dentate gyrus appeared relatively resistant to early cell loss after SE. Functionally, whole cell patch clamp recordings revealed that mefloquine treatment preserved inhibitory synaptic drive to projection neurons one week and one month after SE. These results demonstrate that mefloquine, a drug already approved for malaria prophylaxis, is potentially antiepileptogenic and can protect against progressive interneuron loss and behavioral co-morbidities of epilepsy.

Background: Chemotherapy-induced peripheral neuropathy (CIPN) is common in pateints undergoing chemotherapy. Hexuetongbi (HXTB), a TCM, could treat CIPN. Objective: This study investigates HXTB in treating CIPN and the underlying mechanism in an oxaliplatin-induced rat model (model). Methods: The rat model was developed by intraperitoneal injection of oxaliplatin for four weeks. The HXTB was investigated on the behavior of rats. Network analysis, TCMSP, and GeneCards were used to identify CIPN targets and HXTB therapeutic entities. HXTB and CIPN molecular pathways were analyzed using GO enrichment and KEGG. H&E staining assessed dorsal root ganglion neuron morphology. qRT-PCR and Western Blot evaluated mRNA and protein levels. Results: The model group had significantly higher frequency of CPWR and lower MWT. HXTB reduced CPWR and increased MWT. H&E staining demonstrated abnormal neuron morphology, confirming model development. HXTB neurons remained normal. Skin, liver, kidney, and heart function were preserved. Network analysis identified 19 active HXTB constituents and 35 CIPN targets. Among the 35 targets, the PI3K/Akt signaling pathway was the main pathway identified. PI3K, Akt1, Akt2, and Bcl-2 mRNA and protein levels were up-regulated. Conclusion: HXTB can ameliorate CIPN by regulating the PI3K/Akt and Bcl-2 pathways to inhibit apoptosis of damaged dorsal ganglion neurons.

Esophageal cancer (ESCA) is the most common and aggressive tumor worldwide, and the long-term survival of ESCA patients remains poor. The competing endogenous RNAs (ceRNAs) hypothesis has been mostly applied in the study of molecular biological mechanisms of cancer occurrence and progression. However, studies on comprehensive analysis of lncRNA-miRNA-mRNA ceRNA prognostic regulatory network of ESCA based on high-throughput sequencing and the large-scale sample size is limited. Here, the expression profiles of lncRNAs and mRNAs were retrieved from both 555 Esophagus Mucosa (GTEx) as normal and 162 ESCA samples (TCGA). We applied the limma and edgeR packages to identify differentially expressed mRNAs and lncRNAs. We also applied the weighted gene co-expression network analysis (WGCNA) to identify differentially expressed pattern of mRNAs and lncRNAs. Then we further used MiRcode, starBase, miRTarBase, miRDB, and TargetScan to predict interactions between lncRNAs, miRNAs, and target mRNAs. Importantly, the 275 overlapped genes were analyzed by univariate and multivariate cox proportional hazard regression, and we set up a survival model for 5-year OS with 8 genes (SH3BP4+RUNX3+IGF2+COX20+TIAM2+BCAT1+NME2+HOXC8), of which the AUC was only 0.853 at 5th year. Finally, we constructed a ceRNA network including 99 lncRNAs, 4 miRNAs, and 6 mRNAs through these 8 genes. Consequently, these 6 hub genes might act as prognostic biomarkers and therapeutic targets of ESCA. Furthermore, BCAT1 may be involved in regulating immune cell infiltration and macrophage polarization, Ultimately, We verified that the expression of BCAT1 was significantly increased in Esophageal squamous cell carcinoma tissues, and its expression was correlated with DFS, which may provide new treatment strategies for ESCA.

Automatic classification of fish is essential for developing marine ecology, behavior analysis, aquaculture management, and health monitoring. However, the existing underwater categorization detection technology is far from keeping up with the escalating demands. In this study, Deepwater-SE based on the Squeeze-and-Excitation mechanism (SE) was proposed to classify fish with an unrestricted and real natural environment. To improve the efficiency of the network, the Depthwise Separable Convolution and the SE-ResNet were added, and at the same time, the detailed analysis module and the feature extraction module were designed before the backbone network specifically. A total of 27,370 photos of Fish4Knowledge(F4K) datasets were used for training and testing. The experimental results demonstrated that the proposed model had the highest mean accuracy of 99.58% among nine comparison models, including LDA+SVM, Raw-Pixel SVM, Raw-Pixel Softmax, Raw-Pixel Nearest Neighbour, Deep fish-Softmax-Aug, VLFeat Dense-SIFT, Alex-FT-Soft, Deep Fish-SVM, Deep-CNN. In addition, the proposed method also led to better results by providing excellent rates of Precision, Recall, and F1, respectively. All the results indicated that Deepwater-SE could categorize fish properly and effectively while showing great robustness and accuracy in large datasets.

The amphibian chytrid fungus *Batrachochytrium dendrobatidis* (*Bd*) has caused catastrophic frog declines on several continents, but disease outcome is mediated by a number of factors. Host life stage is an important consideration, and many studies have highlighted the vulnerability of recently metamorphosed or juvenile frogs compared to adults. The majority of these studies have taken place in a laboratory setting, and there is a general paucity of longitudinal field studies investigating the influence of life stage on disease outcome. In this study, we assessed the effect of endemic *Bd* on juvenile *Mixophyes fleayi* (Fleay’s barred frog) in subtropical eastern Australian rainforest. Using photographic mark-recapture, we made 386 captures of 116 individuals and investigated the effect of *Bd* infection intensity on the apparent mortality rates of frogs using a multievent model correcting for infection state misclassification. We found that *Bd* infection status nor infection intensity were not correlated with mortality in juvenile frogs, counter to the expectation that early life stages are more vulnerable to disease, despite high infection prevalence (0.35, 95% HDPI [0.14, 0.52]). Additionally, we found that observed infection prevalence and intensity were somewhat lower for juveniles than adults. Our results indicate that in this *Bd*-recovered species, the realised impacts of chytridiomycosis on juveniles were apparently low, likely resulting in high recruitment contributing to population stability. We highlight the importance of investigating factors relating to disease outcome in a field setting and make recommendations for future studies.

In the current context of biodiversity erosion, functional approaches have emerged to study community assembly mechanisms and to better predict the fate of plant species. Assessing patterns of trait variation should be a powerful tool to determine community assembly mechanisms. Yet, studies on trait variations and their consequences on individual performance are usually incomplete as they focus on a single ecological scale or filter, and do not include relationships between traits, resulting in a fragmented view of plant community assembly. We focused on the macrophyte communities living in particular freshwater ecosystems i.e. the ponds of the Iles Kerguelen, in the sub-Antarctic region. We measured different categories of traits (aerial, root, and clonal) on all occurring species to study trait variations across years, sites and phylogeny scale (between species and within species), and in response to multiple habitat abiotic and biotic variables. The consequences of these traits variations and the effects of their correlations for plant individual performance were also explored. Our results first highlighted a filter operating on the overall distribution of trait values within the region, whereas we observed a high amount of intraspecific trait variation allowing individuals to better resist to filters. Second, traits responses to biotic and/or abiotic factors were trait-dependent, and this combination of simultaneous trait responses should allow the plant as a whole to face several simultaneous constraints. Lastly, almost all traits have either direct or indirect effects on individual performance. As a conclusion, partitioning trait variance is a relevant approach to detect at which scale operate the most decisive processes in plant community assembly without scale dependency issues, and then orient further researches. Furhtermore, we plead to consider multi-traits approach, and several biotic and abiotic variables in future studies to better understand the effects of environmental changes on plant communities.

To understand how food resource use and partitioning by closely related species allows local coexistence, it is key to determine whether a species’ diet reflects food availability or food preferences; the latter can be rooted in functional traits and/or phylogenetic history. Here, we analysed the diets, seed selection and seed preferences of three closely related harvester ants: Messor barbarus, M. bouvieri, and M. capitatus. Sympatric within a Mediterranean shrubland, these species differ in foraging behaviour and worker polymorphism. For two years, we studied the ants’ diets and seed selection patterns as well as the local availability of seeds. Additionally, we performed a seed choice experiment using a paired comparison design, offering the ants seeds from eight native plant species. The three ant species had the same general diet, which was primarily granivorous. Although they all consumed a wide variety of seeds, they mostly selected seeds from a small subset of plant species. Despite their morphological and behavioural differences, the ants displayed similar seed preferences that were highly consistent with their diets and seed selection patterns. Our results support the idea that the trophic ecology of these three harvester ants is driven more by phylogeny, in the form of conserved seed preferences, than by functional traits. Seed diversity and abundance were high near the ants’ nests, suggesting that seed availability is not limiting and could in fact favour local species coexistence.

Limited research exists examining the effect of decreased tobacco use rather than complete cessation in improving the symptoms of Buerger's disease. This is a case of a patient with Buerger's disease who had an improvement in ulcer healing and pain through the reduction of tobacco even without discontinuation of smoking.

We show that the gradient of a strongly differentiable function at a point is the limit of a single coordinate-free Clifford quotient between a multi-difference pseudo-vector and a pseudo-scalar, or of a sum of Clifford quotients between scalars (as numerators) and vectors (as denominators), both evaluated at the vertices of a same non-degenerate simplex contracting to that point. Such result allows to fix a issue with a defective definition of pseudo-scalar field in Sobczyck’s Simplicial Calculus. Then, we provide some consequences and conjectures implied by the foregoing results.

This paper presents a low noise figure (NF) variable-gain low noise amplifier (VG-LNA) for the Long-Range (LoRa) Application. In the proposed circuit, a gain-cascaded branch is utilized to provide a rail-to-rail control voltage to vary the gain of LNA in a wide range and improve the dynamic range of the front-end LoRa receiver block. Besides, the proposed LNA’s gain is amplified using a current reused technique. The functionality of the suggested VG-LNA is assessed by the post-layout simulation results provided by TSMC 65 nm CMOS technology with a 1.2 V supply voltage. The simulation results demonstrate that the circuit’s gain is varied linearly from 7dB to 21dB by changing the control voltage from rail-to-rail. Besides, the proposed VG-LNA has an NF of less than 1.8 dB and S11 of better than -14 dB in a wide temperature range, while the power consumption is 6.8 mW @ 900 MHz. Also, the occupied area of the VG-LNA is 0.819 mm2 ( 910 µm× 900µm).

The paper aims to explore the exponential forms of octonion angular momenta in the electromagnetic and gravitational fields, researching the influencing factors and physical properties of octonion wavefunctions. J. C. Maxwell first utilized the quaternions and vectorial terminology to describe the electromagnetic theory. Nowadays, the scholars apply the quaternions and octonions to study the electromagnetic fields, gravitational fields, and quantum mechanics and so forth. The application of octonions is able to describe the physical quantities of electromagnetic fields and gravitational fields, including the octonion field strength, field source, linear momentum, angular momentum, torque, and force and others. According to the characteristics of octonions, the octonion physical quantities can be rewritten into the exponential forms. In particular, either the angular momentum or electromagnetic moment may be dominant under certain circumstances, in the octonion spaces. The product of the octonion angular momentum and Planck's constant can constitute a nondimensionalized octonion exponential form. As a result, the octonion wavefunctions can be obtained from the exponential forms of octonion angular momenta. When the direction of multidimensional unit vector in the octonion wavefunction cannot be determined, the imaginary unit can be used to substitute the multidimensional unit vector. As a compensation measure, it is necessary to replace one single octonion wavefunction, relevant to a multidimensional unit vector, with several wavefunctions related to the imaginary units. The dimension number of unit vector may be interrelated to the color number of color charges in the quantum chromodynamics.

In this paper, dual-input-dual-output (DIDO) dc-dc converter is used to interface solar PV and battery sources for CubeSat Electrical Power System. This non-isolated converter topology is efficient, compact and has fewer circuit components with only one inductor. DIDO topology is suitable for 3U to 6U CubeSat. Further, the proposed converter ensures MPPT operation of PV source using Fuzzy Logic Controller. Detailed Electrical Power System design and analysis for CubeSat presented.

This case reports an 89-year-old male who presented with sepsis, disseminated intravascular coagulopathy, acute kidney injury, and upper GI bleeding to the emergency department. He was admitted to the ICU, where he was managed for septic shock, diabetic ketoacidosis, and coagulopathy then sent home on medications with an improved status.

Background: The diagnostic work-up for cardiac arrest from ventricular tachyarrhythmias occurring in younger adults and structurally normal hearts is variable and often incomplete. Methods: We reviewed records for all recipients of a secondary prevention implantable cardiac defibrillator (ICD) younger than 60 years at a single quaternary referral hospital from 2010-2021. Patients were included if they had unexplained ventricular arrhythmias (UVA) and absence of structural heart disease on echocardiogram, normal coronary assessment and no clear diagnostic features on ECG. We specifically evaluated the adoption rate of five modalities of ‘second-line’ cardiac investigations: cardiac magnetic resonance imaging (CMR), exercise ECG, flecainide challenge, electrophysiology study (EPS) and genetic testing. We also evaluated patterns of anti-arrhythmic drug therapy and device-detected arrhythmias and compared them with secondary prevention ICD recipients with a clear aetiology found on initial assessment. Results: 102 recipients of a secondary prevention ICD under the age of 60 were analysed. 39 patients (38.2%) were identified with UVA and were compared with the remaining 63 patients with VA of clear aetiology (61.8%). UVA patients were younger (35.6 ± 13.0 years vs 46.0 ± 8.6 years, p<0.001) and were more often female (48.7% vs 28.6%, p=0.04). CMR was performed in 32 patients with UVA (82.1%), whereas flecainide challenge, stress ECG, genetic testing and EPS were only performed in a minority of patients. Overall, the use of a second-line investigation suggested an aetiology in 17 patients with UVA (43.5%). Compared to patients with VA of clear aetiology, UVA patients had lower rates of antiarrhythmic drug prescription (64.1% vs 88.9%, p=0.003) and had a higher rate of device-delivered tachy-therapies (30.8% vs 14.3%, p=0.045). Conclusion: In this real-world analysis of patients with UVA, the diagnostic work-up is often incomplete. While CMR was increasingly utilized at our institution, investigations for channelopathies and genetic causes appear to be underutilized. Implementation of a systematic protocol for work-up of these patients requires further study.