Intermediate Values Research Articles

A Simple Nonlinear Classifier Using a Multimode Optical Chip

Neural network accelerator based on photonic‐integrated circuits is emerging as a promising technology for fast, power‐efficient, and parallel computing. Under such technology, optics is mainly used for linear transformations, e.g., through an array of cascaded switching networks. Nonlinear activation is implemented either electronically requiring extra optical–electrical conversion or via nonlinear optical materials that often suffer from high loss, large power consumption, and difficulty in integration. Herein, an optical neural chip with only one multimode waveguide, fabricated using low‐cost linear optical materials, plus seven heater electrodes to control the multimode interference, is proposed. The nonlinear networks are intrinsically integrated in the electrical‐to‐optical signal conversion through the waveguide. The linear computation, in the electronic domain, is included in the mandatory step to convert the input matrix to the intermediate current values on the seven electrodes. Though extremely simple, the proposed system can classify nonlinear datasets and images by optical readout with high accuracy and without calibration. Prospects for future development are given at the end. In this work, an alternative route is offered to exploiting the classic multimode interference for advanced optical computing applications.

Cognitive-affective manifestations since premanifest phases of Spinocerebellar Ataxia Type 3/Machado-Joseph Disease

BackgroundCognitive deficits were related to Spinocerebellar Ataxia type 3/Machado-Joseph Disease (SCA3/MJD), but the Cerebellar Cognitive Affective Syndrome (CCAS) needs further investigation in this disorder. We aimed to characterize cognitive-affective deficits in manifest and premanifest SCA3/MJD carriers. MethodsSubjects at 50% risk, manifest carriers and unrelated controls were evaluated in-person or in virtual settings with CCAS Scale (CCAS-S), Stroop Color-Word Test (SCWT), Trail-Making Test (TMT), and Reading the Mind in the Eyes Test (RMET). Scale for Assessment and Rating of Ataxia (SARA) >2.5 or Friedreich Ataxia Rating Scale/Activities of Daily Living (FARS-adl) >4 divided carriers into manifest and premanifest. Time after onset or time left to gait ataxia onset (TimeToAfterOnset) were estimated. Differences between groups and correlations with TimeToAfterOnset, SARA and FARS-adl were checked. ResultsAfter random selection to balance groups, 23 manifest and 35 premanifest carriers, and 58 controls were included. CCAS-S, semantic fluency, phonemic fluency, category switching, affect, SCWT, and RMET showed significant differences between manifest carriers and controls; premanifest carriers mostly displayed intermediate values between controls and manifest carriers. These variables correlated with TimeToAfterOnset and SARA scores of the carriers. Correlations with SARA were stronger in the pre-ataxic group. CCAS-S had the strongest correlations with time and SARA. DiscussionCognitive-affective deficits in SCA3/MJD involve executive function, language, affect, and social cognition, which seem to be altered prior to the ataxia onset, and correlate with markers of motor progression. CCAS-S was the most promising biomarker and should be evaluated in longitudinal studies.

Extremal statistics for a one-dimensional Brownian motion with a reflective boundary

In this work, we investigate the extreme value statistics of a one-dimensional Brownian motion (with the diffusion constant D) during a time interval 0,t in the presence of a reflective boundary at the origin, when starting from a positive position x0. We first obtain the distribution P(M|x0,t) of the maximum displacement M and its expectation 〈M〉. In the short-time limit, i.e., t≪td where td=x02/D is the diffusion time from the starting position x0 to the reflective boundary at the origin, the particle behaves like a free Brownian motion without any boundaries. In the long-time limit, t≫td, 〈M〉 grows with t as 〈M〉∼t, which is similar to the free Brownian motion, but the prefactor is π/2 times of the free Brownian motion, embodying the effect of the reflective boundary. By solving the propagator and using a path decomposition technique, we then obtain the joint distribution P(M,tm|x0,t) of M and the time tm at which this maximum is achieved, from which the marginal distribution P(tm|x0,t) of tm is also obtained. For t≪td, P(tm|x0,t) looks like a U-shaped attributed to the arcsine law of free Brownian motion. For t equal to or larger than order of magnitude of tm, P(tm|x0,t) deviates from the U-shaped distribution and becomes asymmetric with respect to t/2. Moreover, we compute the expectation 〈tm〉 of tm, and find that 〈tm〉/t is an increasing function of t. In two limiting cases, 〈tm〉/t→1/2 for t≪td and 〈tm〉/t→(1+2G)/4≈0.708 for t≫td, where G≈0.916 is the Catalan’s constant. Finally, we analytically compute the statistics of the last time tℓ the particle crosses the starting position x0 and the occupation time to spent above x0. We find that 〈tℓ〉/t→1/2 in the short-time and long-time limits, and reaches its maximum at an intermediate value of t. The fraction of the occupation time 〈to〉/t is a monotonic function of t, and tends towards 1 in the long-time limit. All the theoretical results are validated by numerical simulations.

Regression models for ultimate hogging moment prediction of composite cellular beams

ABSTRACT This work shows the accuracy and feasibility of polynomial regression models for the ultimate hogging moment prediction of composite cellular beams utilising different numbers of simulations. It discusses an attempt to reduce the number of samples in a finite element parametric study, which consists of using only the combination of extreme levels of each factor to develop the regression models. The parametric study has five parameters: cross-section dimensions, hogging moment distribution, unbraced length, opening diameter, and web-post width. The regression models are generated based on 32 (extreme values), 162 (extreme and intermediate values), and 360 numerical model results (all values). An ANOVA was performed on each regression model to assess the parameters’ order of relevance. According to ANOVA, the profile cross-section dimensions and hogging moment distribution were the most significant parameters on the beams’ ultimate moment for all regression models. As good precision was achieved, because of the insignificant differences within the regression models, it was observed that the combination of arbitrated extreme levels for the factors could significantly reduce the number of numerical simulations in a parametric study. Still, this approach could be used for any other type of structure to reduce the computational cost of future numerical investigations.

The Impact of Genotype on Chemical Composition, Feeding Value and In Vitro Rumen Degradability of Fresh and Ensiled Forage of Native Maize (Zea mays L.) from Mexico

The objective of this study was to evaluate the impact of the genotype on the chemical composition, feeding value and in vitro rumen degradability of fresh and ensiled forage of four native maize varieties (Amarillo, Olotillo, Tampiqueño and Tuxpeño) from Tamaulipas, Mexico, and a commercial hybrid, as well as the stability and aerobic deterioration of the silage. In all genotypes, fresh forage consisted of whole plants of maize that were harvested when the grain reached a milky-mass state, and silage was fresh forage chopped and ensiled in plastic bags, where it fermented for 120 days. The hybrid presented the highest content (p < 0.05) of dry matter (DM), organic matter (OM), ether extract, non-fibrous carbohydrates (NFCs) and starch, as well as the lowest content (p < 0.05) of fibers (NDF and ADF), acid detergent lignin and water-soluble carbohydrates (WSCs). Furthermore, the hybrid and Amarillo genotypes obtained the lowest pH and ammoniacal nitrogen content (p < 0.05), intermediate values (p < 0.05) of lactic and butyric acid, and the lowest and highest acetic acid content (p < 0.05), respectively. Although OM did not differ (p > 0.05) between states of the forage, the fresh forage presented a higher (p < 0.05) content of DM, crude protein, NDF, ADF, WSCs, pH and butyric acid in all genotypes, while the rest of the parameters were higher (p < 0.05) in the silage. However, Amarillo obtained the highest feeding value (p < 0.05) in terms of DM intake, relative forage value, digestible energy, metabolizable energy and rumen degradability (DM, NDF and ADF), and between states of the forage, ensiled obtained the highest feeding value (p < 0.05). During the aerobic exposure, the Amarillo and hybrid silage showed greater (p < 0.05) stability (>38 h), and less (p < 0.05) deterioration, pH increase and loss of DM and OM, while Tuxpeño obtained less stability and greater deterioration. In conclusion, the genotype did influence the chemical composition of fresh and ensiled forage, which affected the feeding value and in vitro rumen degradability, and the Amarillo and hybrid genotypes presented the best values in the evaluated parameters.

Multisoliton complex systems with explicit superpotential interactions

We consider scalar field theories in dimensions with N fields which interact through a potential , which is defined in terms of an explicit superpotential W. We construct W for any N in terms of a known superpotential w for a single-scalar model, such as that for the sine-Gordon equation or the ϕ 4 model, leading to an expression for V which has multiple minima that supports solitons. Static solitons which minimize the total energy in each soliton sector appear as solutions of first-order Bogomolny equations, which have a gradient structure. These are identical in form to equations which arise in the context of synchronization phenomena in complex systems, with the space and time variables interchanged. The sine-Gordon superpotential, for example, leads to an explicit periodic superpotential W for N scalar fields, with associated Bogomolny equations that are equivalent to the well-known Kuramoto equations which describe the synchronization of identical phase oscillators on the unit circle. The known asymptotic properties of the Kuramoto system, for both positive and negative coupling constants, ensure that finite-energy solitons exist for any given set of intermediate values imposed at the origin. Besides the models derived from the sine-Gordon equation, we investigate ϕ 4 and ϕ 6 models with N scalar fields and show numerically that solitons again exist over a wide range of parameters. We also derive general properties of the elementary meson excitations of the system, in particular we show that meson-soliton bound states exist over a restricted range of mass parameters with respect to an exact solution of the ϕ 6 system for N = 3.

Cache attacks on subkey calculation of Blowfish

Cache attacks pose a serious security threat to cryptographic implementations in processor architectures. In this paper, we first propose cache attacks against Blowfish, which can break the protection of key-dependent S-box. This attack targets at the subkey calculation of Blowfish, and fully exploits features of the subkey calculation to construct a leakage equation group about the key. Without any knowledge of plaintext and ciphertext, the attacker only needs to obtain the cache leakage once to recover a variable-length key in minute-level time. More than that, we establish a leakage model for cache attack situations to evaluate the exhausting space of the intermediate value of block ciphers, and estimate the time complexity of cache attacks. In our experiments, we perform Flush + Reload and Prime + Probe attacks and recover the random key of Blowfish in OpenSSL 1.1.1h in 4 minutes. Furthermore, we have applied our attacks to existing systems, such as JavaScript-blowfish and Bcrypt. Our attack on JavaScript-blowfish can recover any plaintext input by the user. As for Bcrypt, our attack can recover the hash values stored in the database, thereby allowing attackers to impersonate the user’s identity.

A Study to Investigate the Influence of Machining Parameters on Delamination in the Abrasive Waterjet Machining of Jute-Fiber-Reinforced Polymer Composites: An Integrated Taguchi and Response Surface Methodology (RSM) Optimization to Minimize Delamination

In recent years, abrasive waterjet machining has emerged as a promising machining technique for the machining of composites because of its non-thermal nature. In the present study, the effect of machining parameters on the quality of machining has been studied and the process parameters have been optimized to machine jute-fiber-reinforced polymer composites. The design of the experiment was used to predict the combination of the input parameters for L27 experiments. Taguchi and response surface methodology (RSM) techniques were employed to analyze the experimental data and identify the optimum combination of process parameters to achieve as little delamination as possible. The results indicate that an increase in the values of the parameters traverse speed and abrasive mass flow rate leads to an increase in the damage obtained. However, an increase in the value of the parameter stand-off distance minimizes the damage produced. To achieve minimum delamination, the optimum combination of input parameters is obtained through Taguchi and RSM. For the present experimental condition, to achieve minimum delamination, the parameter traverse speed should be set at 20 mm/min, the stand-off distance should be 4 mm, and the abrasive flow rate should be set at 0.25 kg/min. The results confirm that the optimum combination of parameters obtained through both approaches is similar. This investigation results indicated a significant improvement in the cutting quality with reduced damage, achieved through the optimized process parameters. For the considered range of parameters, graphs are plotted such that any intermediate values can be anticipated within the considered range without performing any further experiments. The present work signifies the effect of fiber orientation on delamination.

Evaluation of Shear Stress in Soils Stabilized with Biofuel Co-Products via Regression Analysis Methods

In recent years, the employment of artificial neural networks (ANNs) has risen in various engineering fields. ANNs have been applied to a range of geotechnical engineering problems and have shown promising outcomes. The aim of this article is to enhance the effectiveness of estimating unfamiliar intermediate values from existing shear stress data by employing ANNs. Artificial neural network modelling was undertaken through the Regression Learner program that is integrated with the Matlab 2023a software package. This program offers a user-friendly graphical interface for developing AI models absent of the need for any coding. The validation and training of the ANNs were executed by relying on shear box test data which had been conducted at the Geotechnical Laboratory situated at Iowa State University. The objective of these experiments was to explore the potential of biofuel co-products (BCPs) in soil stabilization. The data should be structured with input and output parameters in columns and samples in rows. The dataset comprises a 216 × 6 matrix. The data columns provide information on soil type (pure soil—unadulterated; and 12% BCP-adulterated soil), time (1, 7, and 28 days), normal stress (0.069-DS10, 0.138-DS20, and 0.207-DS30 MPa), moisture content (OMC−4%, OMC%, and OMC+4%), and corresponding shear stress (σ, MPa) values. The AI predictions for the test data output provide an outstanding R2 score of 0.94. This indicates that employing ANN to teach shear test data facilitates gaining a large quantity of data more efficiently, with fewer experiments and in less time. Such an approach seems encouraging for geotechnical engineering.

Visual Starch Stain Procedure Assists Cycad Propagation Decisions

Stem cuttings are often exploited for asexual propagation of cycad plants, and impaired health of the source plants may reduce success. A reliable procedure that screens potential source plants for predicted success would benefit conservationists. The cut surfaces of Cycas revoluta stem cuttings obtained from source plants that had endured 0–39 weeks of Aulacaspis yasumatsui herbivory were stained with potassium triiodide to determine if this visual test could predict asexual propagation success. The stem cuttings were sorted into three groups based on stain intensity, then specific gravity and starch concentration of pith and cortex tissue were measured. The cuttings were maintained in a propagation nursery for 27 weeks, then root growth was quantified as dry weight. Specific gravity ranged from 1.01 to 1.11 and scaled linearly with starch concentration, which ranged from 16 to 195 mg·g−1. The group of cuttings with the darkest stain intensity exhibited 100% propagation success with 23 g of roots per cutting, and the group with the least stain intensity exhibited 30% success with 2 g of roots per cutting. The group of stems with intermediate stain intensity exhibited intermediate values of every metric. These results indicated that cycad cuttings may be stained with iodine to estimate starch content in the field to provide an accurate instantaneous visual test for selection of the source plants that reliably generate the greatest level of asexual propagation success.

Dependence of reaction time in hydrothermal synthesis of MoS2 quantum dots: An investigation using optical tools and fractal analysis

The article discusses the novel fractal nature of hydrothermally synthesized Molybdenum Disulfide (MoS2) Quantum Dots (QDs), where the key parameter controlling the process is the 'reaction time’. This parameter is adjusted from 7 to 30 h, including five intermediate values, while keeping all other synthesis conditions constant. The study employs various structural, morphological, and optical techniques, including X-ray diffraction (XRD), X-ray photoelectron Spectroscopy (XPS), High-Resolution Transmission Electron Microscopy (HRTEM) equipped with Selected Area Electron Diffraction (SAED), Scanning Transmission Electron Microscopy (STEM), UV–Vis, and photoluminescence (PL) spectroscopy to track the evolution of MoS2 samples with changing reaction times. The average size of the QDs exhibits a trend of increase followed by a decrease with longer reaction times. This trend is also compared with band gap calculations. STEM images indicate that shorter reaction times lead to the formation of MoS2 sheets, while extended reaction times cause these sheets to fragment into MoS2 QDs. The concept of “compactness” in the system is explored and analyzed using fractal analysis, a statistical tool. The observations from PL, absorption, and STEM align with the time-evolved fractal dimensional analysis, demonstrating the synthesis dynamics.

Effects of dietary mycotoxins and mycotoxin adsorbent additives on production performance, hematological parameters, and liver histology in juvenile Nile tilapia (Oreochromis niloticus)

Mycotoxins are fungal secondary metabolites that can adversely affect animals consuming contaminated feeds. This 71-day feeding trial was conducted to assess the effects of dietary deoxynivalenol plus zearalenone (DON+ZEN = 1.6 + 0.3 ppm), and fumonisins (FUM = 15 ppm), and three adsorbent additives on the production performance, hematological parameters, and liver histology of juvenile Nile tilapia. A mycotoxin-free diet (Control) formulated to contain 35% protein and 8% lipid was spiked with either DON+ZEN or FUM using contaminated corn meals replacing portions of non-spiked corn. Subsequently, three out of four DON+ZEN- and FUM-spiked diets were supplemented (0.5%) with an adsorbent. The research was carried out in a recirculating water system (2,500 L) with a controlled temperature of (25.9 ± 1.1°C), feeding was carried out twice a day at rates ranging from 5 to 8%. The experiment included nine treatments with five replications, each experimental unit consisting of an aquarium with a useful volume of 75-L and fifteen juvenile Nile tilapia (average initial weight of 4.0 ± 0.1 g). Mycotoxin-spiked diets without added adsorbent supported lower final biomass and survival of Nile tilapia relative to control and adsorbent containing diets (P ≤ 0.05). Histological examinations revealed liver inflammation evidenced by lymphocytic infiltration adjacent to pancreatic tissue in fish fed mycotoxin-spiked diets without added adsorbent. Mycotoxin contamination significantly increased HSI (hepato somatic index), which was reverted to the Control value or reduced further by adsorbent addition. Lowest and intermediate hematocrit values were observed in groups fed mycotoxin-spiked diets without and with added adsorbents, respectively. Our results reinforce the importance of using adsorbents and the need to investigate the effect of sub-lethal concentrations of mycotoxins in aquaculture feeds.

Adverse events in the global healthcare practice of an Occupational Mutual Insurance Company in Spain.

Patient safety is currently a main issue in healthcare practice. Adverse events (AEs) management is a key instrument for the application of strategies to prevent harm to patients. To analyze the type, severity and preventability, according to validated scales, of AEs occurring annually in the healthcare practice of an Occupational Mutual Insurance Company in order to implement action plans to improve patient safety. We analyzed the reported AEs in an Incident Reporting System and AEs detected in the Audit program of clinical records as a result of treating injured or ill workers in our 88 ambulatory care centers. We detected 28 AEs in the clinical records (CR), representing 0.05 AE/CR, with maximum values in the COM sample (26 AEs, 0.11) and much lower in INT (1 AEs, 0.02) and MIN (1 AE, 0.02). The most frequent AE type was procedure-related, followed by infection and care. AEs of severity level D (11 cases) and E (9 cases) predominated, while level F was also detected (6 cases). Intermediate values in preventability (3 and 4) predominated, 61.5% were preventable. With the Incident Reporting System, 27 AEs were identified, predominated by procedural type. Most reported AE severities was in levels E (10 cases) and C (8 cases), 89% were preventable. Our company detects AEs via the Incident Reporting System and annual Audit program of clinical records, both of which are complementary, and may result in the implementation of more effective Patient Safety measures.

Myocardial Stiffness evaluation by shear wave elastography in transthyretin amyloidosis with and without cardiac involvement

Abstract Introduction Cardiac involvement (CI) in hereditary transthyretin amyloidosis (ATTRh) occurs by deposition of amyloid fibrils in the heart, resulting in stiffening and diastolic dysfunction. Shear wave elastography, non-invasively and without the emission of ionizing radiation, quantitatively assesses tissue stiffness, a passive component of diastole, complementing the complex echocardiographic assessment. Objective To evaluate myocardial stiffness, through diastolic myocardial elasticity (DME), in ATTRh patients with and without CI and a healthy control group (CG). Methodology Prospective, cross-sectional study, 60 patients divided into 3 groups: ATTRh with CI (n:20), ATTRh without CI (n:20) and GC (n:20). DME was evaluated in the septal wall of the left ventricle (LV) (basal, middle, and apical segments) and in the free wall of the right ventricle (RV). They were also submitted to 2D-ECO, EKG, troponin, BNP, 6-minutes-walking test and pyrophosphate-labeled scintigraphy (Tc-99m-PYP). Data were analyzed using a one-way ANOVA, verifying myocardial stiffness, measured by DME, among the 3 groups. Then, pairwise comparisons were adjusted using Tukey's technique. Results DME was a significant factor for distinguishing between groups when analyzed in the parasternal long axis (PLAX) basal septum (p=0.013), parasternal short axis (PSAX) basal septum (p=0.03) and in the PLAX RV free wall (p=0.004). Was observed in the apical septum segment similar stiffness between groups, suggesting a pattern of apical preservation. In the post hoc evaluation, DME in the basal septum region was significantly higher among the ATTRh with CI group than in the control group, but without significant difference between ATTRh with CI and ATTRh without CI, suggesting that the latter group has intermediate values between the sick patient and the healthy patient. Also, right ventricle DME in ATTRh with CI was greater than in the other two groups (Table 1 and Figure 1). In a regression model, the results indicate that 17.2% of the DME variance can be attributed to 3-hour scan uptake on the Tc-99m-PYP (R2=0.172, F (1-36) =7.2, p< 0.011), estimated by the equation: 3-hour scan uptake = 0.91 +0.078 x DME. Conclusion Myocardial stiffness is increased in ATTRh with CI, showing a decreasing pattern of stiffness in the apex direction, suggesting a pattern of apical preservation. Cardiac elastography has the potential to be an important tool in the assessment of cardiac involvement in systemic amyloidosis.

On the intermediate value property of spectra for a class of Moran spectral measures

We prove that the Beurling dimensions of the spectra for a class of Moran spectral measures are in 0 and their upper entropy dimensions. Moreover, for such a Moran spectral measure μ, we show that the Beurling dimension for the spectra of μ has the intermediate value property: let t be any value in 0 and the upper entropy dimension of μ, then there exists a spectrum whose Beurling dimension is t. In particular, this result settles affirmatively a conjecture involving spectral Bernoulli convolution in Fu et al. (2018) [20]. Furthermore, we prove that the set of the spectra whose Beurling dimensions are equal to any fixed value in 0 and dim‾eμ has the cardinality of the continuum.

Starch films loaded with tannin: the study of rheological and physical properties

Recently, the research on innovative food packaging has been oriented toward biodegradable materials to lower the environmental impact generated by conventional plastics. The films often carry functional additives interacting with the matrix and modifying its physical properties. In this work tannin, a scarcely exploited active additive, was used to obtain potato starch-based films, and its content was optimized on the basis of mechanical and microscopic tests. Rheological measurements were adopted to evaluate the tannin-starch interaction and the microstructure of the film forming solutions (FFSs). Their thickness, color, thermal conductivity, elastic modulus (Eel), elongation at break (EAB), surface wettability and water solubility were evaluated. Furthermore, microstructure was investigated through Fourier-transform infrared spectroscopy (FTIR), polarized light (POM) and scanning electron microscopy (SEM).It was observed that all FFSs behave as weak gels and tannin addition weakens the gel structure and decreases the gelatinization temperature from about 60 °C to 57 °C. Plastic and deformable films (Eel = 1.96 MPa and EAB = 189 %) were obtained at low tannin fractions, whereas, at a higher concentration, stiffer films (Eel = 12 MPa and EAB = 10 %), with hydrophobic behavior were produced. Among the tested tannin fractions, an intermediate value of 1.7 % (w/w) was found to be promising for industrial purposes.

Abstract 14964: Unsupervised Machine Learning of Imaging-Based Sub-Phenotypes of Aortic Stenosis With Differential Risks of Conduction Disturbances After Transcatheter Aortic Valve Replacement

Background: It is currently unclear whether various measurements of the aortic valvular complex routinely performed on pre-operative computed tomography angiograms (CTA) can collectively predict the risk of conduction disturbances after transcatheter aortic valve replacement (TAVR) for aortic stenosis (AS). Here, we aimed to use unsupervised machine learning to analyze a multitude of CTA features and identify distinct patient sub-phenotypes with different risks for TAVR-related conduction disturbances. Methods: The pre-TAVR CTAs of 660 AS patients (330 males, 330 females) were analyzed using TeraRecon to extract 21 features that included aortic valve leaflet calcification loads, dimensions of the aortic root (annulus, sinus of Valsalva, sinotubular junction) and the ascending aorta, coronary ostial heights, and aortic angle. Agglomerative hierarchical clustering was performed separately on male and female datasets using R, with assessment of clusterability based on Hopkins statistics and agglomerative coefficient and the optimal number of clusters based on 30 previously validated indices (NbClust package). Multivariable logistic regression was conducted to assess the dependence of significant conduction disturbances (new left bundle branch block, advanced atrioventricular block) on cluster type. Results: Both male and female datasets were fairly clusterable (Hopkins statistics, 0.70 vs 0.68; agglomerative coefficient, 0.93 vs 0.93), with 3 and 2 as the optimal number of clusters, respectively. Of the 3 male clusters identified, the cluster with intermediate median values of aortic valve leaflet calcification loads and aortic root dimensions (M2) was associated with the greatest risk of conduction disturbances, compared to clusters with low (M1) and high (M3) median values of these variables (OR M2/M1 =9.24, p =0.03; OR M2/M3 =1.33, p =0.40; OR M3/M1 =6.97, p =0.07). The risk of the M1 cluster was not statistically different from those of the female clusters (F1, F2; OR M1/F1 =0.31, p =0.27; OR M1/F2 =0.25, p =0.21), which were not different from each other (OR F1/F2 =0.82, p =0.68). Conclusion: Machine learning of pre-TAVR CTAs can help identify subgroups of patients with similar or varying risks of TAVR-related conduction disturbances.

Abstract 15420: Cost-Effectiveness of Sacubitril-Valsartan in Patients With Heart Failure With Mildly Reduced or Preserved Ejection Fraction With a Recent Worsening Heart Failure Event

Background: In a pooled analysis of the PARAGON-HF and PARAGLIDE-HF trials, sacubitril-valsartan was effective in the treatment of heart failure with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF) in patients who experienced a recent worsening heart failure event. Research Question: The cost-effectiveness of sacubitril-valsartan in this patient population has yet to be established. Aim: We performed a cost-effectiveness analysis of sacubitril-valsartan in patients with HFmrEF/HFpEF in patients with a recent worsening heart failure event. Methods: Using a 2-state Markov model, we simulated treatment with sacubitril-valsartan vs. placebo in populations of 1,000 patients with HFmrEF/HFpEF and a recent worsening heart failure event. Clinical event rates were based on 5-year data from the I-PRESERVE trial and calibrated to reproduce event rates observed in the pooled analysis of the PARAGON-HF and PARAGLIDE-HF trials. Based on a United States health care system perspective, outcome data from the trials were used to calculate incremental cost-effectiveness ratios. Results: Treatment with sacubitril-valsartan resulted in an increase of 0.88 and 0.53 life years and quality-adjusted life years, respectively, compared to placebo. Lifetime costs increased due to the cost of sacubitril-valsartan. The incremental cost-effectiveness ratio was $96,762 (Table 1). Conclusions: Use of sacubitril-valsartan in patients HFmrEF/HFpEF with a recent worsening heart failure event displayed intermediate value by American Heart Association/American College of Cardiology standards. This study supports the current guideline recommendation to consider sacubitril-valsartan in HFmrEF/HFpEF.

PSXI-23 Effects of Dietary Threonine, Tryptophan, and Glycine Supplementation on Growth Performance and Intestinal Barrier Function in Broiler Chickens Raised Under Multiple Stress Conditions

Abstract The objective of the current study was to compare the effects of dietary threonine, tryptophan, and glycine supplementation on growth performance and intestinal barrier function in broiler chickens raised under multiple stress conditions. All birds were allotted to 1 of 5 treatments with 8 replicates in a completely randomized design. Positive control (PC) treatment was normal condition and other treatments are multiple stress conditions with heat stress and high stocking density. Multiple stress conditions were exposed to a cyclic heat stress condition (30 ± 0.3°C for 10 h/d and 23 ± 0.2°C for 14 h/d). In addition, 10 birds per cage (16.9 birds/m2) were allotted in multiple stress conditions, but 15 birds per cage (25.3 birds/m2) were allotted in normal conditions. Basal diet was fed to broiler chickens in PC (normal condition) and negative control (NC; multiple stress conditions) treatments. Three additional diets were prepared by adding 0.68% threonine (99%), 0.19% tryptophan (99%), or 1.60% glycine (99%) to the basal diet. Four treatment diets such as NC, threonine, tryptophan, and glycine treatments were provided to birds in multiple stress conditions. All experimental diets and water were provided ad libitum for 14 d. The body weight gain (BWG) and feed intake (FI) were recorded at the end of the experiment. The feed efficiency (FE, g/kg) was calculated by dividing BWG with FI after mortality correction for FI. The intestinal barrier function was analyzed by trans-epithelial electrical resistance (TEER) value in a two-channel Ussing chamber system. Statistical analysis was conducted as a completely randomized design by using the PROC MIXED procedure of SAS (SAS Institute Inc., Cary, NC). The replicate was considered an experimental unit. Outlier data were confirmed by the UNIVARIATE procedure of SAS. The LSMEANS procedure was conducted to calculate treatment means. In addition, if the difference was significant, the PDIFF option of SAS was conducted to separate the means. The significance for statistical tests was considered at P < 0.05. Results indicated that all treatments under multiple stress condition (i.e., NC, Thr, Trp, and Gly treatments) caused a significant reduction (P < 0.05) in BW, BWG, FI, and FE as compared with PC treatment (Table 1). Dietary Thr supplementation under multiple stress conditions was similar FE compared with PC treatment (Table 2). Dietary threonine, tryptophan, and glycine supplementation under multiple stress condition induced intermediated values for TEER with dietary threonine supplementation having similar values to PC treatment. In conclusion, dietary supplementation of threonine seems the most effective functional amino acid. In addition, it can be a novel dietary treatment to improve growth performance and gut health in broiler chickens raised under multiple stress condition.

PSIII-22 Substituting Palm Oil By Polyunsaturated Fatty Acid Rich Oils Reduces Methane Emissions at a Different Degree Depending on Concentrate Formula of Dairy Beef Calves: in Vitro Screening

Abstract In dairy beef calves fed high-concentrate diets even methane emissions may be lesser than calves fed high-roughage diets there is still room to improvement. Substituting palm oil, an ingredient that is questioned by the impact on deforestation of some regions, by polyunsaturated fatty acids (PUFA) may be a good strategy that needs to be tested. Therefore, the aim of this study was to evaluate the rumen in vitro methane gas production by substituting palm oil by different oils rich in polyunsaturated fatty acids in two different concentrates in T1 the main protein source was SBM (8%) and in T2 the main protein source was corn DDG (15%); the remaining concentrate ingredients were 50% corn, 15 to 13% barley, 15 to 16% wheat middlings, beet pulp (5.5% in T1), 1.8% calcium carbonate, 0.5% salt, 0.2% premix. Palm oil was substituted (4 or 3.5 % in T1 or T2, respectively) by canola oil (CO), sunflower oil (SU) or soybean meal oil (SO), so 8 treatments were tested (T1, T1-CO, T1-SU, T1-SO, T2, T2-CO, T2-SU, T2-SO), which are rich in polyunsaturated fatty acids in two. Samples were 1-mm grinded at 1-mm and used in an in vitro digestibility assay as described by [Goeser and Combs (2009)]. The rumen liquid, obtained from rumens at slaughterhouse of beef animals fed high-concentrate diets with a close formula to T1 and T2, was strained through a cheesecloth, collected into pre-warmed thermal flasks, and kept at 39ºC until being used. Two incubation sets were done in parallel and in triplicate: one lasted 48 hours to calculate the DM digestibility; the second lasted 12 days to monitor the methane gas production. A tendency (P = 0.10) in the interaction among basal diet and oil source was observed in total methane production corrected by blank methane production; numerically the same trend (P = 0.14) was observed in net volume of CH4 per degraded DM. After 12 days, the least methane production values were observed in T1-SO and T2-CO (30 and 29 mL ± 4.6, respectively), while the largest methane values were observed in T1-SU (45 ± 4.6 mL) being the remaining treatments intermediate values (42, 39, 31, 38, 41 ± 4.6 mL for T1, T1-CO, T2, T2-SU, T2-SO, respectively). In conclusion, depending on the concentrate formula (protein source used) the effect of fat source used to substitute palm oil and reduce methane emission may differ.