Potential Parameters Research Articles

Green AI‐Driven Concept for the Development of Cost‐Effective and Energy‐Efficient Deep Learning Method: Application in the Detection of Eimeria Parasites as a Case Study

Although large‐scale pretrained convolutinal neural networks (CNN) models have shown impressive transfer learning capabilities, they come with drawbacks such as high energy consumption and computational cost due to their potential redundant parameters. This study presents an innovative weight‐level pruning technique that mitigates the challenges of overparameterization, and subsequently minimizes the electricity usage of such large deep learning models. The method focuses on removing redundant parameters while upholding model accuracy. This methodology is applied to classify Eimeria species parasites from fowls and rabbits. By leveraging a set of 27 pretrained CNN models with a number of parameters between 3.0M and 118.5M, the framework has identified a 4.8M‐parameter model with the highest accuracy for both animals. The model is then subjected to a systematic pruning process, resulting in an 8% reduction in parameters and a 421M reduction in floating point operations while maintaining the same classification accuracy for both fowls and rabbits. Furthermore, unlike the existing literature where two separate models are created for rabbits and fowls, this article presents a combined model with 17 classes. This approach has resulted in a CNN model with nearly 50% reduced parameter size while retaining the same accuracy of over 90%.

Corrosion behavior of Mg–Bi–Ca alloys prepared via high vacuum melting as biodegradable materials in Hank solution

The study investigated the corrosion behavior of Mg–Bi–Ca alloys in a balanced Hank solution through potentiodynamic polarization (PP) and electrochemical impedance spectroscopy (EIS). Corrosion potential (Ecorr), Current density (Icorr), Corrosion rate (CR), Impedance modulus (|Z|) and phase angle parameters were employed to analize the electrochemical test results. The effects of the quantity and distribution of the different phases, as well the percentage of Bi in the alloys, were assessed. The cell compatibility results indicated that both alloys are suitable for use as biodegradable implants, and the electrochemical testing results demonstrated that the primary corrosion mechanism observed in the alloys is continuous anodic dissolution, meaning the material steadily dissolves without forming a protective passivation layer. The behavior of impedance modulus and phase angle, which are indicators of the material's resistance to corrosión, were influenced by the reactions occurring at the material-electrolyte interface and the types of corrosion products formed. Additionally, the content of Bi in the alloys plays a role in determining these behaviors, particularly the eutectic phase. According to the CR criteria, the as-received Mg–4 %Bi–1 %Ca alloy in Hank solution at 37 °C is the most suitable for the fabrication of biodegradable implants.

Effect of mixed carbon phase state on detonation parameters and reaction zone of explosives under extreme condition

A precise description of the thermodynamic states of gaseous and solid detonation products is essential when using thermodynamic calculations to determine the detonation performance and destructive power of explosives. For high oxygen-lean explosives (the oxygen contained in explosives is insufficient to completely oxidize combustible elements and excess solid carbon will be generated in the detonation products), the phase state of solid carbon product affects the Chapman–Jouguet (CJ) detonation performance parameters, reaction zone, and energy release process. However, the recovery of detonation products demonstrates that the actual detonation carbon product is primarily a mixed state of diamond/graphite stack, as opposed to the existing thermodynamic codes, which essentially treat detonation carbon as single-phase carbon. To understand the thermodynamic effect of the mixed carbon phase state on the non-ideal detonation behavior, in this work, the matching relationship among the VINET equation of state parameters, thermodynamic potential parameters of the solid products of the equivalent system and the phase mixed system was constructed by using the nonlinear fitting method. The relationship between the carbon phase composition at the CJ point and the explosive composition structure was researched. Investigations were conducted into how the mixed carbon phase affected the volume and content of gas products as well as the composition at CJ points. Diamond formation in products is good for enhancing explosive's working capacity. Based on mixed-state potential parameters, the correlation mechanism between the mixed carbon phase and the chemical reaction zone was investigated, and it was found that intramolecular carbon/intermolecular carbon and more detonation graphite/diamond products all would lead to the extension of the reaction zone.

Retrospective Correlation of the Circulation Time of Test Bolus Injections in MR Angiography and Cardiac Function

This retrospective study examines 248 test bolus examinations preceding contrast-enhanced magnetic resonance angiography (CE-MRA) to extract clinically relevant data for critical limb ischemia (CLI) management. The method involved a retrospective review of test bolus exams, analysing 60 graphs for time to peak (TTP), full-width half-maximum (FWHM) time, and time to continual rise in signal intensity. These values were correlated with heart function parameters (ejection fraction, ASA classification, Lee index, and MET score). The results indicate a mean TTP of 31.2 ± 7.3 s, showing a correlation between the ejection fraction and ASA classification. Patients with atrial fibrillation exhibited prolonged TTP compared to those without. Despite population heterogeneity, these findings facilitate risk stratification for limb-saving interventions in CLI. TTP emerges as a potential clinical cardiovascular parameter and a risk factor for vascular interventions. Given the variation in injection protocols across centres, this study underscores the importance of precise bolus arrival time documentation for future multicentre studies.

Possibility of persistent current in S-states

In this study, we investigate the profound impact of the Pöschl–Teller double-ring-shaped Coulomb (PTDRSC) potential to induce persistent currents within the S-states of the hydrogenic atom. The confinement of the system is achieved through an impenetrable spherical boundary. Leveraging first-order perturbation theory, we quantify the charge current across various states induced by the PTDRSC potential with its inherent angular and azimuthal dependence, leading to angular and azimuthal distortion, respectively. Notably, persistent currents are observed within S-states without external excitation mechanisms. The magnitude of the induced current is intricately linked to the strength of the PTDRSC potential parameters. These results underscore the prospect of manipulating persistent currents and their associated induced magnetic fields within S-states by tailoring the potential strength and confining boundary size. This discovery presents a compelling avenue for the controlled generation and experimental verification of induced S-state magnetism, opening new possibilities for innovative applications.

Melting heat transfer and irreversibility analysis in Darcy-Forchheimer flow of Casson fluid modulated by EMHD over cone and wedge surfaces

The present mathematical model analyses the melting heat transfer and irreversibility in Darcy-Forchheimer flow of Casson fluids modulated by the electroosmosis and magnetohydrodynamic mechanisms over the wedge and cone surfaces. The effects of thermal radiation, thermal buoyancy and heat generation/absorption are taken into consideration. Appropriate similarity transformations are utilized to establish a system of ordinary differential equations which are non-linear. The model has been numerically simulated using shooting approach in conjunction with the fourth order Runge-Kutta method under the bvp4c tool of MATLAB. Numerical results are computed for fluid velocity, fluid temperature, Nusselt number and Bejan number for analysing the fluid flow behaviour and heat transfer characteristics for the Casson fluid. A comparative analysis is performed to determine the irreversibility and heat transfer in the absence and presence of melting parameters, respectively. Variations in skin friction coefficient, local Nusselt number and Bejan number have also been examined under the effects of key parameters. Key findings of the present study indicate enhanced velocity distribution with increasing zeta potential and electric field parameters, while it diminishes with higher Prandtl number and Forchheimer terms. Moreover, fluid temperature reduces with rising zeta potential, while the Bejan number escalates with greater thermal radiation in the core region of geometries. The findings of the model may be useful in various applications of thermal systems.

Relativistic energy spectra of diatomic molecules through the solutions of general conformable fractional (GCF) Klein-Gordon equation for Hulthen potential with position-dependent mass (PDM) and the thermodynamic properties

In this study, we investigate the thermodynamic properties of some diatomic molecules modelled by Hulthen potential with PDM. The GCF Klein-Gordon equation in the GCF cylindrical coordinate for the Hulthen potential and the PDM function is solved by using the GCF Laplace method to obtain the GCF energy equation and GCF wave function. The effect of the fractional order, quantum number, potential parameter, and PDM parameter on the energy eigenvalue of the H2, LiH, and HF diatomic molecules is discussed through the corresponding graphs computed using MATLAB software. The results show that the fractional order, quantum number, and potential parameter cause the energy spectrum to increase. In addition, the thermodynamic properties are examined by calculating the partition function. Based on the results, internal energy tends to be constant at lower temperatures, and the specific heat capacity decreases with increasing β . Whereas free energy and entropy increase monotonically with increasing β . To validate our findings, we compare our results with those obtained in the literature.

Influence of external electric field on molecular microscopic descriptors of non-polar insulating gases

Molecular microscopic descriptors without external electric field are commonly used for the prediction of insulating strength in gaseous medium. However, insulating gases are subjected to external electric field in electrical equipment, and the molecular microscopic descriptors are affected. Therefore, it is necessary to investigate the influence of external electric field on molecular microscopic descriptors. The Gaussian 16 software is employed to calculate the global parameter with the M06-2X functional and the 6–311++G (d, p) basis set. The wavefunction analysis software Multiwfn is used to obtain electrostatic potential parameter. In this paper, three directions of external electric field with magnitude ranging from 0 to 0.03 a.u. have been set to 10 non-polar insulating gas molecules. According to the type of molecular point group, the effect of direction and magnitude of external electric field on the molecular microscopic descriptors has been analyzed. The results indicate that the molecular microscopic descriptors are affected by the direction and magnitude of external electric field. The change rate of microscopic descriptors increases with the increase of external electric field magnitude. And the influence of the direction of external electric field is associated with the molecular symmetry. In conclusion, the effect of direction and magnitude of external electric field is needed to be considered when analyzing the effect of external electric field on molecular microscopic descriptors.

Arrested states in colloidal fluids with competing interactions: A static replica study.

We present the first systematic application of the integral equation implementation of the replica method to the study of arrested states in fluids with microscopic competing interactions (short-range attractive and long-range repulsive, SALR), as exemplified by the prototype Lennard-Jones-Yukawa model. Using a wide set of potential parameters, we provide as many as 11 different phase diagrams on the density (ρ)-temperature (T) plane, embodying both the cluster-phase boundary, TC(ρ), and the locus below which arrest takes place, TD(ρ). We describe how the interplay between TC and TD-with the former falling on top of the other, or the other way around, depending on thermodynamic conditions and potential parameters-gives rise to a rich variety of non-ergodic states interspersed with ergodic ones, of which both the building blocks are clusters or single particles. In a few cases, we find that the TD locus does not extend all over the density range subtended by the TC envelope; under these conditions, the λ-line is within reach of the cluster fluid, with the ensuing possibility to develop ordered microphases. Whenever a comparison is possible, our predictions favorably agree with previous numerical results. Thereby, we demonstrate the reliability and effectiveness of our scheme to provide a unified theoretical framework for the study of arrested states in SALR fluids, irrespective of their nature.

The GAPS Programme at TNG

Context. Atmospheric escape plays a fundamental role in shaping the properties of exoplanets. The metastable near-infrared (nIR) helium triplet at 1083.3 nm (He I) is a powerful proxy of extended and evaporating atmospheres. Aims. We used the GIARPS (GIANO-B + HARPS-N) observing mode of the Telescopio Nazionale Galileo to search for He I absorption in the upper atmospheres of five close-in giant planets hosted by the K and M dwarf stars of our sample, namely WASP-69 b, WASP-107 b, HAT-P-11 b, GJ 436 b, and GJ 3470 b. Methods. We focused our analysis on the nIR He I triplet, performing high-resolution transmission spectroscopy by comparing the in-transit and out-of-transit observations. In instances where nightly variability in the He I absorption signal was identified, we investigated the potential influence of stellar magnetic activity on the planetary absorption signal by searching for variations in the Hα transmission spectrum. Results. We spectrally resolve the He I triplet and confirm the published detections for WASP-69 b (3.91 ± 0.22%, 17.6σ), WASP-107 b (8.17−0.76+0.80%, 10.5σ), HAT-P-11 b (1.36 ± 0.17%, 8.0σ), and GJ 3470 b (1.75−0.36+0.39%, 4.7σ). We do not find evidence of extra absorption for GJ 436 b. We observe night-to-night variations in the He I absorption signal for WASP-69 b, associated with variability in Hα, which likely indicates the influence of pseudo-signals related to stellar activity. Additionally, we find that the He I signal of GJ 3470 b originates from a single transit observation, thereby corroborating the discrepancies found in the existing literature. An inspection of the Hα line reveals an absorption signal during the same transit event. Conclusions. By combining our findings with previous analyses of GIANO-B He I measurements of planets orbiting K dwarfs, we explore potential trends with planetary and stellar parameters that are thought to affect the absorption of metastable He I. Our analysis is unable to identify clear patterns, thus emphasising the necessity for additional measurements and the exploration of potential additional parameters that may be important in controlling He I absorption in planetary upper atmospheres.

Understanding the Formation and Intensification Process of Several Cyclonic Systems over the Bay of Bengal using the Revised Genesis Potential Parameter Index

Understanding the Formation and Intensification Process of Several Cyclonic Systems over the Bay of Bengal using the Revised Genesis Potential Parameter Index

Interpolation of local potential parameters in allocating village fund formulation as an effort to development of local-based tourism

Interpolation of local potential parameters in allocating village fund formulation as an effort to development of local-based tourism

An Extended Analysis of 14N(17F, 18Ne)13C and 14N(7Be, 8B)13C Proton Transfer Reactions Depending on the Temperature, Density Distribution, Nuclear Potential and Nucleon-Nucleon Interactions

The angular distributions of 14N(17F, 18Ne)13C at 170 MeV and 14N(7Be, 8B)13C at 84 MeV proton-transfer reactions depending on the density distributions, temperature, nuclear potentials, and nucleon-nucleon interactions are studied. The calculations are performed by using the code FRESCO based on the distorted wave Born approximation (DWBA) method. The theoretical results of all the approaches are compared with both each other and experimental data, and the similarities and differences of the results are discussed. Additionally, new potential parameter sets for the description of the experimental data of each reaction are developed. Finally, alternative density, nuclear potential, and nucleon-nucleon interactions are proposed for the analysis of the angular distributions of the 14N(17F, 18Ne)13C and 14N(7Be, 8B)13C protontransfer reactions.

The Scale-Invariant Vacuum Paradigm: Main Results and Current Progress Review (Part II)

This is a summary of the main results within the Scale-Invariant Vacuum (SIV) paradigm based on Weyl integrable geometry. We also review the mathematical framework and utilize alternative derivations of the key equations based on the reparametrization invariance as well. The main results discussed are related to the early universe; that is, applications to inflation, Big Bang Nucleosynthesis, and the growth of the density fluctuations within the SIV. Some of the key SIV results for the early universe are a natural exit from inflation within the SIV in a later time texit with value related to the parameters of the inflationary potential along with the possibility for the density fluctuations to grow sufficiently fast within the SIV without the need for dark matter to seed the growth of structure in the universe. In the late-time universe, the applications of the SIV paradigm are related to scale-invariant dynamics of galaxies, MOND, dark matter, and dwarf spheroidals, where one can find MOND to be a peculiar case of the SIV theory. Finally, within the recent time epoch, we highlight that some of the change in the length-of-the-day (LOD), about 0.92 cm/yr, can be accounted for by SIV effects in the Earth–Moon system.

Impacts of DCM-linked gating pore currents on the electrophysiological characteristics of hiPSC-CM monolayers

BackgroundVariants of the SCN5A gene, which encodes the NaV1.5 cardiac sodium channel, have been linked to arrhythmic disorders associated with dilated cardiomyopathy (DCM). However, the precise pathological mechanisms remain elusive. The present study aimed to elucidate the pathophysiological consequences of the DCM-linked Nav1.5/R219H variant, which is known to generate a gating pore current, using patient-specific human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) cultured in monolayers. MethodsVentricular- and atrial-like hiPSC-CM monolayers were generated from DCM patients carrying the R219H SCN5A variant as well as from healthy control individuals. CRISPR-corrected hiPSC-CMs served as isogenic controls. Simultaneous optical mapping of action potentials (APs) and calcium transients (CaTs) was employed to measure conduction velocities (CVs) and AP durations (APDs) and served as markers of electrical excitability. Calcium handling was evaluated by assessing CaT uptake (half-time to peak), recapture (tau of decay), and durations (TD50 and TD80). A multi-electrode array (MEA) analysis was conducted on hiPSC-CM monolayers to measure field potential (FP) parameters, including corrected Fridericia FP durations (FPDc). ResultsOur results revealed that CVs were significantly reduced by more than 50 % in both ventricular- and atrial-like hiPSC-CM monolayers carrying the R219H variant compared to the control group. APDs were also prolonged in the R219H group compared to the control and CRISPR-corrected groups. CaT uptake, reuptake, and duration were also markedly delayed in the R219H group compared to the control and CRISPR-corrected groups in both the ventricular- and the atrial-like hiPSC-CM monolayers. Lastly, the MEA data revealed a notably prolonged FPDc in the ventricular- and atrial-like hiPSC-CMs carrying the R219H variant compared to the control and isogenic control groups. ConclusionsThese findings highlight the impact of the gating pore current on AP propagation and calcium homeostasis within a functional syncytium environment and offer valuable insights into the potential mechanisms underlying DCM pathophysiology.

#2539 Effects of relative blood volume and ultrafiltration volume on pulse wave characteristics during hemodialysis

Abstract Background and Aims Measures of non-invasive pulse wave (PW) analysis can help to assess the status of the central cardiovascular system and to predict clinical outcomes, including morbidity and mortality. During hemodialysis (HD), fluid is extracted from blood. The resulting reduction in relative blood volume (RBV) and collected ultrafiltration volume (UFV) were hypothesized to substantially influence PW characteristics during HD. Volume overload (VO) is common in HD patients and may affect the chance of improving the cardiovascular status of patients during HD. The present study aimed to explore associations between RBV, UFV, VO and a wide range of PW parameters. Method In a single center in Vienna, Austria, 24 patients on maintenance HD underwent four HD sessions each, with whole-body bioimpedance spectroscopy (BIS) before, and automated, cuff-based PW measurements every 15 minutes, RBV- and UFV-monitoring throughout each session. Associations between RBV or UFV as independent variable and 26 different PW characteristics as dependent variables (52 separate models) were tested using confounder-adjusted generalized estimating equations with sandwich estimator and multilevel nested working covariance structure, reporting standardized effect estimates and drop-in-R² to assess variable importance. Sensitivity models including both RBV and UFV as predictors (26 models) were used to assess effects adjusted for confounding and mediation, respectively. The intra-patient correlation between BIS-derived VO and PW parameters at the start of sessions and PW parameter change by end of sessions was assessed using repeated measures correlation analysis. Results Data from 990 PW measurements were available for analysis from an 88% male cohort with median age of 66 years. In half of the PW parameters analyzed, each percent RBV was significantly associated with in summary about 4.3 to 5.7% (95% confidence intervals [CI] 0.9 to 10.46) of the PW parameter's respective standard deviation (SD), negatively so only in heart rate and R-Peak. UFV was negatively associated with a third of PW parameters (effects ranging from −2.5 to −5.47% SD [95% CIs −0.9 to −10.0]), mostly in classical peripheral and central pressures and peripheral resistance. In models including both predictors, RBV overall exhibited greater effect size and variance capture than UFV, except for peripheral resistance. On within-patient level, VO was positively correlated with initial medians of pressure excess (r=0.34, p=0.034), augmentation-index (0.34, p=0.031) and augmentation-pressure (0.32, p=0.042), increase in heart rate (0.32, p=0.04) and decreases in peripheral resistance (0.31, p=0.05), peripheral (systolic: 0.34, p=0.032; diastolic: 0.45, p=0.004; mean: 0.41, p=0.008) and central (diastolic: 0.46, p=0.003) blood pressures during HD. Conclusion The observed PW characteristics were associated with RBV and UFV during HD and may represent modifiable targets for intervention studies. Pressure excess, S-Peak, R-Peak, cardiac and preload parameters were more closely associated with RBV, while classic (especially diastolic) blood pressure parameters, ejection duration and S/D-Ratio were more associated with UFV, in models using both predictors. On average, blood pressure and peripheral resistance tended to decrease less when a patient began HD in a volume-expanded state, which may affect day-to-day feasibility of more classical pressure targets, but perhaps not of other PW parameters. Multiple PW characteristics have previously been shown to be associated with mortality and morbidity and are potential target parameters for future intervention trials. Utilizing RBV modification as an intervention may offer superior precision compared to UFV goals, requiring further studies. PW technology could also be adopted by HD-machine manufacturers at low cost, enabling more precise and individualized treatment options.

#1762 Reduction in intradialytic glycemia and increased oxygen consumption as potential indicators of intradialytic parenchymal stress

Abstract Background and Aims Patients undergoing chronic hemodialysis (HD) face heightened all-cause and cardiovascular mortality due to various risk factors, with intradialytic stress playing a fundamental role. Recently, the assessment of intradialytic oxygen trends has emerged as a potential parameter for evaluating parenchymal stress. Specifically, an intradialytic increase in the oxygen extraction ratio (OER), derived from the ratio of peripherical oxygen saturation to central venous oxygen saturation, identifies patients at a greater risk of intradialytic events and increased clinical risk. In addition to OER, intradialytic consumption of glucose indicates higher tissue metabolic demand, likely indicative of parenchymal stress. We hypothesize that OER and intradialytic glucose consumption may be phenomena related to increased intradialytic parenchymal stress and, therefore, may be correlated. This study aimed to assess the potential correlation between intradialytic glycemia trends and oxygen extraction (OER). Method Patients in chronic HD treatment with a central venous catheter (CVC) for HD were enrolled from January 2019 to January 2020. The exclusion criteria were: ongoing acute pathology, diabetes mellitus, and undergoing hemodialysis for less than six months. OER and glycemia were measured during three consecutive HD sessions at baseline, 15, 30, 60, and 120 minutes into treatment, and post-HD. For statistical analysis, average values for each patient across the three dialysis sessions were considered. Results Twenty patients with a permanent CVC (10 males, 10 females; age 74 ± 13 years; HD vintage 46 ± 34 months) were enrolled. The pre-HD mean OER in the initial three HD sessions was 34 ± 7, increasing to 46 ± 9 post-HD, with a mean percentage delta OER of 39 ± 20%. Evaluating OER trends in the entire population revealed an increase in OER (∆OER) from the first 15 minutes of treatment (∆OER% 15’: 14 ± 7; ∆OER% 30’: 18 ± 22, p < 0.01). Patients' baseline glycemia was 120 ± 31 mg/dl at the start of the HD session and 111 ± 21 at the end, with a delta of −11 ± 21 mg/dl and a glucose delta percentage of 4%. Patients with higher oxygen consumption after 15 and 30 minutes of treatment experienced a greater decrease in glycemia. Specifically, ∆OER at 15’ negatively correlated with glycemia values at 15’ (r: −0.494, p < 0.05), 30’ (r: −0.521, p < 0.05), 60’ (r: −0.644, p < 0.01, Fig. 1), and 120’ (r: −0.714, p < 0.01), and post-HD (r: −0.634, p < 0.05). Patients were then divided based on the magnitude of mean O2 consumption measured post-HD into two groups: ΔOER ≤ mean and ΔOER > mean (threshold 40%). Patients with a higher ∆OER showed a more significant decrease in glycemia from the first 15 minutes of HD, confirmed at the end of HD (ΔOER ≤ 40%: Δglucose post-HD −2 ± 40; ΔOER > 40%: −22 ± 28, p < 0.05, Fig. 2). Conclusion The data confirm that oxygen extraction during hemodialysis progressively increases from the first 30 minutes of treatment. Changes in OER are associated with a reduction in glycemia, particularly patients with higher ΔOER have a more pronounced decrease in glycemia. This association between OER and glycemia supports the hypothesis that these two parameters are linked to the same pathophysiological phenomenon, such as increased intradialytic cellular metabolic activity. Studies with larger populations will help confirm this association and propose glycemia delta as an indicator of intradialytic parenchymal stress.

Prediction of high latitude nightside Geomagnetic Field Disturbances (GGFDs) during the 9-March-2012 geomagnetic storm using Recurrent Neural Network (RNN)

Geomagnetically Induced currents (GICs) pose a potentially catastrophic threat to the safety and security of large-scale power distribution systems. Using a recurrent neural network, we predict high (≥60°) magnetic latitude (MLAT) and night side (06–18) magnetic local time (MLT) geomagnetic field disturbances (surface dBs/dt and vertical dBz/dt), the trigger of GICs, during a geomagnetic storms occurred on March 09, 2012. We use the high latitude geomagnetic field data from SuperMAG and the solar wind particle and magnetic field data from NASA-OMNIWeb. We divide the high latitude night side of Earth’s globe into multiple sectors and obtain a time series of maximum geomagnetic disturbances observed in each sector. We use the Long Short Term Memory (LSTM) network technique sector by sector on both, the solar wind data and the sectored geomagnetic field disturbance (10° geomagnetic latitude, 1-hour MLT) time series obtained from SuperMAG. Each sector prediction is plotted on a polar map to reveal high latitude night side geomagnetic disturbance patterns. This high latitude nigh side model has great potential. With solar wind input at a Lagrangian-1 point, and geomagnetic field data from SuperMAG, it can predict the peak magnetic disturbance at any given sector for couple of hours in advance. Our machine learning techniques provide the best set of solar wind input that gives the best disturbance prediction. This paper presents a prototype of the global geomagnetic disturbance model with low-resolution spatial grids and a subset of potential solar wind input parameters. Once matured, the global magnetic disturbance model will be provided to the public.

Liquid-liquid transition in a simple model fluid with competitive interactions

The possible existence of low-density and high-density fluid phase equilibria in fluids with a simple potential consisting in a combination of a square shoulder and a square well is explored by means of perturbation theory and histogram-reweighting grand canonical Monte Carlo simulation. Theory is useful as a simple and computationally inexpensive way to explore large sets of potential parameters to search for potential shapes susceptible to present multiple fluid phases, later confirmed or discarded from computer simulation. It is found that some combinations of the length and energy parameters of the potential actually give rise to such behaviour.

Abstract B025: Luminal-to-basal phenotypic plasticity promotes invasive phenotypes in a live-imaging assay using patient-derived bladder tumor organoids

Abstract Lineage plasticity in cancer is characterized by changes in cell state that are often associated with tumor progression and treatment resistance. While nearly all non-muscle invasive bladder cancer (NMIBC) tumors have a luminal epithelial phenotype, many muscle invasive bladder cancers (MIBC) display a basal identity. NMIBC to MIBC progression may therefore be related to a phenotypic switch from luminal-to-basal subtypes, which in turn may be associated with poorer clinical outcomes. However, current understanding of the molecular processes linking cell plasticity and tumor invasion is limited, due in part to a lack of physiologically relevant in vitro models and assays. To address these questions, we are utilizing a living biobank of 82 patient-derived bladder tumor organoid lines that our group has established. These organoids represent a 3-dimensional, heterogeneous model system for studying bladder cancer, as they can be genetically manipulated and recapitulate the molecular and histopathological features of the parental tumor. Notably, in previous work, we described luminal-to-basal phenotypic plasticity in a subset of organoid lines derived from luminal tumors, which display a shift to basal/squamous identity in culture that is reversible by orthotopic xenografting. In current studies, we are investigating cell migration and invasiveness using a live-imaging assay that we have developed to examine bladder tumor organoid outgrowth in vitro. Importantly, this assay allows longitudinal visualization as well as quantitation of invasiveness over a four-day time span. Analysis of over 25 organoid lines with plastic, stable luminal, and stable basal properties has revealed a broad spectrum of organoid outgrowth phenotypes that do not correlate with cell proliferation or clinical parameters. Instead, the degree of outgrowth correlates precisely with luminal-to-basal phenotypic plasticity, as assessed by transcriptome analyses, immunofluorescence microscopy, and in vivo xenografting. Organoid lines with minimal outgrowth have stable luminal phenotypes, whereas lines that produce their own extracellular matrix to create a leading edge of migrating cells have plastic phenotypes. Furthermore, movies of the invading organoids reveal distinct cell migratory patterns, as several organoid lines display collective migration that generates an invasive front at the leading edge. This collective migration phenotype is distinct from phenotypic plasticity, is at least partially independent from organoid outgrowth, and is undergoing further analysis. Thus, our organoid outgrowth assay identifies two different parameters of invasive potential, one of which correlates with phenotypic plasticity. Our findings characterize bladder tumor invasion patterns for the first time and suggest that lineage plasticity in NMIBC represents a key mechanism that promotes tumor invasion in MIBC. Citation Format: Clementine Le Coz, John R. Christin, Talal Syed, Zejian Wang, Caroline J. Laplaca, Andrew T. Lenis, Michael M. Shen. Luminal-to-basal phenotypic plasticity promotes invasive phenotypes in a live-imaging assay using patient-derived bladder tumor organoids [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr B025.