Linear Scaling Research Articles

The Atacama Cosmology Telescope: DR6 Gravitational Lensing Map and Cosmological Parameters

We present cosmological constraints from a gravitational lensing mass map covering 9400 deg2 reconstructed from measurements of the cosmic microwave background (CMB) made by the Atacama Cosmology Telescope (ACT) from 2017 to 2021. In combination with measurements of baryon acoustic oscillations and big bang nucleosynthesis, we obtain the clustering amplitude σ 8 = 0.819 ± 0.015 at 1.8% precision, S8≡σ8(Ωm/0.3)0.5=0.840±0.028 , and the Hubble constant H 0 = (68.3 ± 1.1) km s−1 Mpc−1 at 1.6% precision. A joint constraint with Planck CMB lensing yields σ 8 = 0.812 ± 0.013, S8≡σ8(Ωm/0.3)0.5=0.831±0.023 , and H 0 = (68.1 ± 1.0) km s−1 Mpc−1. These measurements agree with ΛCDM extrapolations from the CMB anisotropies measured by Planck. We revisit constraints from the KiDS, DES, and HSC galaxy surveys with a uniform set of assumptions and find that S 8 from all three are lower than that from ACT+Planck lensing by levels ranging from 1.7σ to 2.1σ. This motivates further measurements and comparison, not just between the CMB anisotropies and galaxy lensing but also between CMB lensing probing z ∼ 0.5–5 on mostly linear scales and galaxy lensing at z ∼ 0.5 on smaller scales. We combine with CMB anisotropies to constrain extensions of ΛCDM, limiting neutrino masses to ∑m ν < 0.13 eV (95% c.l.), for example. We describe the mass map and related data products that will enable a wide array of cross-correlation science. Our results provide independent confirmation that the universe is spatially flat, conforms with general relativity, and is described remarkably well by the ΛCDM model, while paving a promising path for neutrino physics with lensing from upcoming ground-based CMB surveys.

Understanding the hydrolysis mechanism of cyanogen chloride on copper and chromium surfaces

AbstractCyanogen chloride (CNCl) is a highly toxic agent, but there is currently a lack of research on the catalytic hydrolysis reaction of CNCl on metal surfaces. The low efficiency and unclear mechanism of CNCl hydrolysis reaction have hampered the development and enhancement of protective equipment. In this work, we focused on investigating the adsorption behavior and hydrolysis mechanism of CNCl on copper and chromium surfaces through first‐principle methods. Our findings revealed the most stable adsorption configuration of CNCl on metal surfaces and its terminal flipping behavior during the hydrolysis process. Subsequently, we designed and studied a series of CNCl hydrolysis reaction pathways, primarily involving C‐terminal intermediates. Notably, the adsorption energy of CN* displayed strong linear scaling relationships with that of other key reaction intermediates, directly influencing the activity and selectivity of CNCl hydrolysis. By employing the adsorption energy expression based on the intrinsic properties of substrates and adsorbates, we extended them to identify the adsorption energies of various complex reaction intermediates involved in CNCl hydrolysis. This comprehensive understanding of the reaction mechanism on metal surfaces provides a theoretical foundation and innovative perspective for the further exploration of CNCl hydrolysis catalysts.

Constraining the growth rate on linear scales by combining SKAO and DESI surveys

In the pursuit of understanding the large-scale structure of the Universe, the synergy between complementary cosmological surveys has proven to be a powerful tool. Using multiple tracers of the large-scale structure can significantly improve the constraints on cosmological parameters. We explore the potential of combining the Square Kilometre Array Observatory (SKAO) and the Dark Energy Spectroscopic Instrument (DESI) spectroscopic surveys to enhance precision on the growth rate of cosmic structures. We employ a multi-tracer Fisher analysis to estimate precision on the growth rate when using pairs of mock surveys that are based on SKAO and DESI specifications. The pairs are at both low and high redshifts. For SKA-MID, we use the HI galaxy and the HI intensity mapping samples. In order to avoid the complexities and uncertainties at small scales, we confine the analysis to scales where linear perturbations are reliable. The consequent loss of signal in each individual survey is mitigated by the gains from the multi-tracer. After marginalising over cosmological and nuisance parameters, we find a significant improvement in the precision on the growth rate.

Combination of standardised methods to create a detailed source-based reconstruction of the Tepidarium at L’Alcudia de Elche, Alicante, Spain

This study proposes a combined method for Virtual Archaeological Reconstructions (Extended Matrix, Reconstructive Units and Evidence Graphic Scale) to ease understanding, recording and display of archaeology. It aims to create new questions and challenges to increase knowledge. The Tepidarium project at L’Alcudia de Elche, Spain, showed the need to reduce duplicity and quicken the workflow; however, it increases the possibility of comparative studies due to similar results in other projects.

Insights Into Electrophysiological Metrics of Cochlear Health in Cochlear Implant Users Using a Computational Model

PurposeThe hearing outcomes of cochlear implant users depend on the functional status of the electrode-neuron interface inside the cochlea. This can be assessed by measuring electrically evoked compound action potentials (eCAPs). Variations in cochlear neural health and survival are reflected in eCAP-based metrics. The difficulty in translating promising results from animal studies into clinical use has raised questions about to what degree eCAP-based metrics are influenced by non-neural factors. Here, we addressed these questions using a computational model.MethodsA 2-D computational model was designed to simulate how electrical signals from the stimulating electrode reach the auditory nerve fibers distributed along the cochlea, evoking action potentials that can be recorded as compound responses at the recording electrodes. Effects of physiologically relevant variations in neural survival and in electrode-neuron and stimulating-recording electrode distances on eCAP amplitude growth functions (AGFs) were investigated.ResultsIn line with existing literature, the predicted eCAP AGF slopes and the inter-phase gap (IPG) effects depended on the neural survival, but only when the IPG effect was calculated as the difference between the slopes of the two AGFs expressed in linear input–output scale. As expected, shallower eCAP AGF slopes were obtained for increased stimulating-recording electrode distance and larger eCAP thresholds for greater electrode-neuron distance. These non-neural factors had also minor interference on the predicted IPG effect.ConclusionsThe model predictions demonstrate previously found dependencies of eCAP metrics on neural survival and non-neural aspects. The present findings confirm data from animal studies and provide insights into applying described metrics in clinical practice.

De Novo Atomistic Discovery of Disordered Mechanical Metamaterials by Machine Learning.

Architected materials design across orders of magnitude length scale intrigues exceptional mechanical responses nonexistent in their natural bulk state. However, the so-termed mechanical metamaterials, when scaling bottom down to the atomistic or microparticle level, remain largely unexplored and conventionally fall out of their coarse-resolution, ordered-pattern design space. Here, combining high-throughput molecular dynamics (MD) simulations and machine learning (ML) strategies, some intriguing atomistic families of disordered mechanical metamaterials are discovered, as fabricated by melt quenching and exemplified herein by lightweight-yet-stiff cellular materials featuring a theoretical limit of linear stiffness-density scaling, whose structural disorder-rather than order-is key to reduce the scaling exponent and is simply controlled by the bonding interactions and their directionality that enable flexible tunability experimentally. Importantly, a systematic navigation in the forcefield landscape reveals that, in-between directional and non-directional bonding such as covalent and ionic bonds, modest bond directionality is most likely to promotes disordered packing of polyhedral, stretching-dominated structures responsible for the formation of metamaterials. This work pioneers a bottom-down atomistic scheme to design mechanical metamaterials formatted disorderly, unlocking a largely untapped field in leveraging structural disorder in devising metamaterials atomistically and, potentially, generic to conventional upscaled designs.

Prediction of M3 B4 -type MBenes as Promising Catalysts for CO2 Capture and Reduction.

The rational design of novel catalysts with high activity and selectivity for carbon dioxide reduction reaction (CO2 RR) is highly desired. In this work, we have extensive investigations on the properties of two-dimensional transition metal borides (MBenes) to achieve efficient CO2 capture and reduction through first-principles calculations. The results show that all the investigated M3 B4 -type MBene exhibit remarkable CO2 capture and activation abilities, which proved to be derived from the lone pair of electrons on the MBene surface. Then, we emphasize that the investigated MBenes can further selectively reduce activated CO2 to CH4 . Moreover, a new linear scaling relationship of the adsorption energies of potential-determining intermediates (*OCH2 O and *HOCH2 O) versus ΔG(*OCHO) has been established, where the CO2 RR limiting potentials on MBenes are determined by the different fitting slopes of ΔG(*OCH2 O) and ΔG(*HOCHO), allowing significantly lower limiting potentials to be achieved compared to transition metals. Especially, two promising CO2 RR catalysts (Mo3 B4 and Cr3 B4 MBene) exist quite low limiting potentials of -0.48 V and -0.66 V, as well as competitive selectivity concerning hydrogen evolution reactions have been identified. Our research results make future advances in CO2 capture by MBenes easier and exploit the applications of Mo3 B4 and Cr3 B4 MBenes as novel CO2 RR catalysts.

Method for Forming Linear Scales for Assessing Learning Outcomes with Control of the Adequacy of Indicator Variables

The purpose of the research is to construct a linear scale for assessing learning outcomes, and to assess the relevance of the indicator variables involved in the formation of the scale.Methods. An analysis of existing approaches to assessing competencies has shown that the most effective approach is the activity-based approach, which involves assessing competencies as a result of current, milestone and/or final control in a discipline or group of disciplines. For this, a scale is needed ‒ a measuring tool that allows you to assess the level of knowledge in a given competency. The quality of the measurement instrument was assessed within the framework of latent variable theory based on the Rasch model. We used the interactive environment “Measurement of Latent Variables, developed in the laboratory of objective measurements of Kuban State University, and the RUMM 2020 software, which is widely used in our country for processing student testing results.Results. For the universal competence Able to manage one’s time, build and implement a trajectory of self-development based on the principles of lifelong education, software and a pool of test tasks have been developed. Using latent variable theory, the validity of a linear scale for this competency was tested. Linear scale indicators have been identified that most adequately characterize the quality of knowledge level assessment, and indicators with the greatest and least sensitivity to the level of knowledge in this competency have been identified.Conclusion. The developed linear scale for assessing learning outcomes was used to measure the level of development of the universal competence UC-6 among students of Kuban State University. The results obtained are necessary for monitoring the formation of the UC-6 competence and for determining the factors influencing the formation of this competence.

Upper Extremity Motion-Based Telemanipulation with Component-Wise Rescaling of Spatial Twist and Parameter-Invariant Skeletal Kinematics

This study introduces a framework to improve upper extremity motion-based telemanipulation by component-wise rescaling (CWR) of spatial twist. This method allows for separate adjustments of linear and angular scaling parameters, significantly improving precision and dexterity even when the operator’s heading direction changes. By finely controlling both the linear and angular velocities independently, the CWR method enables more accurate telemanipulation in tasks requiring diverse speed and accuracy based on personal preferences or task-specific demands. The study conducted experiments confirming that operators could precisely control the robot gripper with a steady, controlled motion even in confined spaces, irrespective of changes in the subject’s body-heading direction. The performance evaluation of the proposed motion-scaling-based telemanipulation leveraged Optitrack’s motion-capture system, comparing the trajectories of the operator’s hand and the manipulator’s end effector (EEF). This verification process solidified the efficacy of the developed framework in enhancing telemanipulation performance.

Digitalisierung und Georeferenzierung einer überdimensionalen historischen Karte der Landvogtei Neuland (Winsen/Luhe) mittels Structure-from-Motion (SfM) Photogrammetrie

AbstractThe study of historical maps has gained significant importance in recent years due to their ability to shed light on past geographical and topographic landscapes since they serve as crucial sources for understanding past conditions. They not only provide insights into the geography and topography during the time they were created but also allow for studying long-term changes over time. In this study, an oversized historical map of the Bailiwick of Neuland from the years 1780 to 1790 was discovered in the archives of the municipal building office in Winsen an der Luhe, Germany. The map, measuring approximately 5 m × 2 m, was digitised by photogrammetric methods and subsequently georeferenced. The process involved photographing the map with two different cameras and two UAV systems at the Geodetic Laboratory of HafenCity University Hamburg. This allowed to generate a high-resolution orthophoto from each data set. The resulting orthophoto achieved a pixel size of 0.2 mm, ensuring a detailed representation of the map. To ensure accuracy, the best photo block was scaled in a bundle block adjustment using ground control points with an accuracy of 1 mm and scale bars with an accuracy of 0.1 mm. Georeferencing of the historical map was conducted using current digital orthophotos of Lower Saxony with a resolution of 20 cm. A third-degree polynomial transformation was applied during georeferencing, resulting in mean residuals of 2.5 m at the ground control points. This process ensured that the historical map was accurately aligned with the current digital orthophotos, allowing for precise spatial referencing.

Photogrammetric Point-Cloud Replicability When Documenting Forensic Archaeological Scenes under Variable Lighting Conditions

Forensic archaeological scenes involving human skeletal remains in wooded environments can be challenging to documentutilizing close-range photogrammetry (CRP) due to the complex nature of outdoor scenes. Previous research has demonstrated that changinglighting conditions can negatively affect three-dimensional (3D) model quality. The purpose of this research was therefore to test theimpact of variable lighting on the replicability of 3D point clouds using CRP in a wooded environment. One scattered scene was createdusing a composite human skeleton and several clothing items. The scene was photographed three times during one day to capture changinglighting conditions: at 9:45 am (Model 1), at noon (Model 2), and at 2 pm (Model 3). Photographs were collected freehand from multipleview angles using a Sony α7 III camera with a fixed wide-anglelens, and the models were processed using Agisoft Metashape Professional.All three models achieved a total scale bar error of less than 1 mm and therefore met the accepted standards for crime scene mappingbest practices. The dense point clouds were then analyzed using CloudCompare to assess point-cloud replicability between modelpairs. The Multiscale Model to Model Cloud Comparison (M3C2) tool was used to calculate signed distances between point-cloud pairs.Also, histograms that display these point-to-pointdeviations were generated for each comparison, and a Gaussian distribution was fittedto each histogram. Deviations between point clouds were minimal, indicating that CRP-generated point clouds are replicable under changinglighting conditions, as well as other environmental variables, such as mild wind conditions and complex ground surfaces. Thus, it isrecommended that forensic archaeologists incorporate CRP into their documentation protocol.

Microscopic theory of current-induced skyrmion transport and its application in disordered spin textures

Introduction: Magnetic skyrmions hold great promise for realizing compact and stable memory devices that can be manipulated at very low energy costs via electronic current densities.Methods: In this work, we extend a recently introduced method to describe classical skyrmion textures coupled to dynamical itinerant electrons. In this scheme, the electron dynamics is described via nonequilibrium Green’s function (NEGF) within the generalized Kadanoff–Baym ansatz, and the classical spins are treated via the Landau–Lifshitz–Gilbert equation. Here, the framework is extended to open systems by the introduction of a non-interacting approximation to the collision integral of NEGFs. This, in turn, allows us to perform computations of the real-time response of skyrmions to electronic currents in large quantum systems coupled to electronic reservoirs, which exhibit linear scaling in the number of time steps. We use this approach to investigate how electronic spin currents and dilute spin disorder affect skyrmion transport and the skyrmion Hall drift.Results: Our results show that the skyrmion dynamics is sensitive to a specific form of the spin disorder, such that different disorder configurations lead to qualitatively different skyrmion trajectories for the same applied bias.Discussion: This sensitivity arises from the local spin dynamics around the magnetic impurities, a feature that is expected not to be well-captured by phenomenological or spin-only descriptions. At the same time, our findings illustrate the potential of engineering microscopic impurity patterns to steer skyrmion trajectories.

On the evolution of turbulent boundary layers during flame–wall interaction investigated by highly resolved laser diagnostics

The turbulent boundary layer behavior in the presence of flame–wall interactions (FWI) has an important role on the mass and energy transfer at the gas/solid interface. Detailed experiments resolving the turbulent boundary layer evolution in the presence of FWI are lacking, which impedes knowledge. This work presents a combination of particle image velocimetry (flow field), dual-pump coherent anti-Stokes Raman spectroscopy (gas temperature), and OH laser induced fluorescence (flame topology) measurements to study the evolution of the boundary layer structure in the presence of FWI. Experiments are conducted in a side-wall quenching (SWQ) burner. Findings reveal that the reacting boundary layer flow adheres to the linear scaling law u+=y+ in the viscous sublayer until y+ = 5. Beyond y+ = 5, the flame modifies the velocity and temperature field such that the uz+ streamwise velocity deviates from the viscous sublayer and the law-of-the-wall scaling in the log-layer with uz+ being smaller than that of the non-reacting flow (the subscript z refers to the streamwise coordinate and is used throughout this manuscript). As the fluid approaches the flame impingement location at the wall, the gas temperature increases significantly, causing a threefold increase in kinematic viscosity, ν. Although the near-wall streamwise velocity gradient d〈Uz〉/dy|y=0mm decreases, the larger increase in ν reduces uz+ and leads to the deviation from the law-of-the-wall. Downstream the flame impingement location, ν is relatively constant and uz+ values begin to approach those of the law-of-the-wall. Trends are presented for SWQ and head-on quenching flame topologies, and are intended to help development of more accurate wall models.

Thermal error compensation in length inspection of large-scale aircraft spars in nonuniform temperature environments

As the primary load-bearing structures, large-scale aircraft spars are subject to the influence of nonuniform temperatures in field conditions, resulting in thermal errors during on-site length inspections. These errors require accurate compensation. Conventional linear scaling methods, based on the assumption of uniform temperatures and a retrieved coefficient of thermal expansion (CTE), suffer from low accuracy in nonuniform temperature environments. To address this issue, this paper proposed a thermal error compensation method that incorporates CTE recalibration. First, we established a predictive model for thermal errors in nonuniform temperature fields through differential thermoelastic analysis. Secondly, a recalibration technique for the sensitive parameter, CTE, was introduced to enhance the prediction accuracy. Finally, leveraging the equivalent form of the model, an uncertainty assessment approach tailored for nonuniform temperature conditions was formulated for the compensated lengths. Numerical and case studies of a nearly 1 m long simplified wing spar were implemented to validate the performance of the thermal error compensation method. The results indicate that the presented method improved accuracy by over 57.6% in terms of RMSE compared to the linear scaling method using average temperatures, which would provide a viable approach to achieve a more accurate on-site length inspection of aircraft components.

Rare-earth Element-based Electrocatalysts Designed for CO2 Electro-reduction.

Electrochemical CO2 reduction presents a promising approach for synthesizing fuels and chemical feedstocks using renewable energy sources. Although significant advancements have been made in the design of catalysts for CO2 reduction reaction (CO2RR) in recent years, the linear scaling relationship of key intermediates, selectivity, stability, and economical efficiency are still required to be improved. Rare earth (RE) elements, recognized as pivotal components in various industrial applications, have been widely used in catalysis due to their unique properties such as redox characteristics, orbital structure, oxygen affinity, large ion radius, and electronic configuration. Furthermore, RE elements could effectively modulate the adsorption strength of intermediates and provide abundant metal active sites for CO2RR. Despite their potential, there is still a shortage of comprehensive and systematic analysis of RE elements employed in the design of electrocatalysts of CO2RR. Therefore, the current approaches for the design of RE element-based electrocatalysts and their applications in CO2RR are thoroughly summarized in this review. The review starts by outlining the characteristics of CO2RR and RE elements, followed by a summary of design strategies and synthetic methods for RE element-based electrocatalysts. Finally, an overview of current limitations in research and an outline of the prospects for future investigations are proposed.

On-Machine Calibration of Pitch Deviations of a Linear Scale Grating by Using a Differential Angle Sensor

A differential angle sensor is newly developed to calibrate the pitch deviations of a linear scale grating with a nominal pitch of 1.6 µm on an ultra-precision lathe. The angle sensor is composed of two angle detection units based on the laser autocollimation method. A collimated laser beam with a diameter of 1 mm, which is output from a laser diode with a wavelength of 685 nm, is projected onto the linear scale grating. The positive and the negative first-order diffracted beams from the scale are received by the two angle detection units, respectively. The X-slide of the ultra-precision lathe is employed to generate the necessary scanning motion for the calibration. Based on the fact that the pitch deviations will cause changes in the positive and the negative first-order diffraction angles, which are equal in magnitude and opposite in sign, the pitch deviations can be obtained from the differential output of the angle sensor. The tilt error motion of the X-slide, which is a major error factor in on-machine calibration, can also be removed in the differential output. The robustness of the developed angle sensor for on-machine calibration has been confirmed by testing the basic performances of the sensor on the machine tool. The feasibility of the on-machine calibration result of pitch deviations has been verified through comparing with the off-machine calibration result.

Pengaruh Influncer, Hedonic Shopping Motive, Dan Impulse Buying Terhadap Keputusan Pembelian Pada Pengguna Tiktok Shop Di Jabodetabek

This research was conducted because the researcher saw an interest in purchasing on the TikTok Shop platform. This study has a purpose to understand the influence of influencers and hedonic shopping motivation on Impulse Purchases and the influence of Impulse Buying, Influencers and Hedonic Shopping Motivation on Purchasing Decisions at Tiktok Shop in Jabodetabek. This study uses purposive sampling and probability sampling techniques by taking 170 samples of TikTok Shop user respondents in JABODETABEK. Data collection using the G-form tool with a statement questionnaire with 4 levels of linear scale. This study uses PLS-SEM techniques in hypothesis testing and data validity. The conclusion obtained from this study is that hedonic shopping motivation in TikTok Shop users and Influencers used by TikTok Shop can influence user purchases, but TikTok Shop must re-improve strategies to increase impulse purchases in its users.

Ab. No. 101 A Conceptual Model of a Unified Wrist Sensor (UWS) for Non-Invasive Real-Time Preterm Infant Monitoring at NICU

Introduction: This study introduces a groundbreaking conceptual model for a Unified Wrist Sensor (UWS) designed to revolutionize non-invasive real-time monitoring of preterm infants in the Neonatal Intensive Care Unit (NICU). Current pain, sleep, and stress assessments in NICU settings are fraught with subjectivity and time constraints. The proposed UWS addresses these challenges by integrating multiple sensors into a single, non-restrictive wristband. Methods: The conceptual model employs a systematic approach, encompassing pre-processing, feature extraction, optimization, and learning models. Deep learning and machine learning techniques are harnessed to enhance accuracy in processing diverse physiological data. Standardization methods such as linear scaling, log scaling, or z-score are strategically applied to reduce variability, ensuring reliable outcomes across different individuals. Result: The discussion underscores the critical need for intelligent fusion structures that incorporate multiple sensor data and rich contextual information. The UWS aims to strike a balance between clinical utility and practicality, offering complementary, robust, and reliable multimodal sensor data. This approach provides a comprehensive understanding of pain, sleep, and stress patterns in preterm infants, paving the way for personalized treatment protocols. Conclusion: In conclusion, the proposed UWS emerges as a potential game-changer, appropriately reweighting data and enabling real-time monitoring of pain, stress, and sleep in NICU infants. The implications of this research are far-reaching, as the UWS can monitor physiological changes using multiple modalities, assess real-time patient outcomes, and dynamically adjust treatment protocols. Implication: This study contributes significantly to the field of neonatal care and introduces the prospect of seamlessly integrating advanced sensor technology into routine NICU practices.

A comparative study on the linear scaling relations for the diffusion of S-vacancies on MoS2 and WS2.

This work uses density functional theory (DFT) calculations and kinetic Monte Carlo (kMC) simulations to compare the diffusion of S-vacancies on defective MoS2 and WS2, two structures that are often discussed as catalysts. Similar to what has been discussed for MoS2, the vacancy diffusion barriers on WS2 also follow Brønsted-Evans-Polanyi (BEP) type linear scaling relations. The vacancy diffusion kinetics is discussed at the example of a large vacancy cluster consisting of 37 unoccupied sites in direct vicinity and how its structure changes with time. Using barriers estimated via linear scaling relations as input for the kMC simulations yields results that qualitatively agree with results calculated self-consistently at DFT level. As the diffusion barriers for WS2 are significantly higher than those for MoS2, the vacancy diffusion on WS2 is poorly described by the linear scaling relations derived from MoS2 and vice versa. This work further shows that one needs DFT level barriers of about 40% of all S-vacancy diffusion processes on a material to derive sufficiently reliable linear scaling relations. This means that computational costs for future studies may be reduced by only explicitly computing one fraction of the diffusion barriers while estimating the remaining ones via linear scaling. However, in this case, one would lack information about the partition function of the transition states, which are needed for calculating the rate constants. Thus, we have also proposed a scheme to estimate the contribution of the partition functions based only on the initial state's vibrational modes.

Investigating the role of geo-fluvial parameters on model river banks: A flume study

This experimental investigation aimed to analyze the failure profile of a model river bank composed of sand and silty clay. A model river bank with a length of 446 cm, a depth of 32 cm, and a slope of 1V:1.5H was prepared in a flume that was 550 cm long, 150 cm wide, and 60cm deep. Froude-number-based reduced-scale distorted river modeling was considered in this study. For modeling different parameters of flume, the linear scale 1:250 and depth scale 1:20 have been taken. The study was divided into two distinct series: Series-A and Series-B, each designed to explore specific soil types and moisture content variations. In Series-A, physical model tests were conducted using cohesionless soil (sand) with an initial moisture content set at 6% and 13%. Conversely, Series-B involved model banks constructed with silty clay soil, with initial moisture contents of 10% and 15%. Both series utilized a consistent model bank slope of 1V:1.5H. The drawdown conditions, set at 50% and 80% of the model riverbank’s height, were integral to the experiments in both Series-A and Series-B. The impact of moisture content, drawdown, and bank material was observed in the failure of the model bank.