High-fidelity QND readout and measurement back-action in a tantalum-based high-coherence fluxonium qubit by Gaurav Bothara, Srijita Das, Kishor V. Salunkhe, Madhavi Chand, Jay Deshmukh, Meghan P. Patankar, R. Vijay

“…We find that the measurement fidelity and the QND nature are limited by state-mixing errors, and our results suggest that a careful study of measurement-induced transitions in the fluxonium is needed to further optimize the readout performance.…”
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An architecture for two-qubit encoding in neutral ytterbium-171 atoms by Zhubing Jia, William Huie, Lintao Li, Won Kyu Calvin Sun, Xiye Hu, Aakash, Healey Kogan, Abhishek Karve, Jong Yeon Lee, Jacob P. Covey

“…Abstract We present an architecture for encoding two qubits within the optical “clock” transition and nuclear spin-1/2 degree of freedom of neutral ytterbium-171 atoms. …”
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Control scheme for waypoint navigation of an underactuated hovercraft by Ricardo Y. Almazan-Arvizu, Yair Lozano-Hernández, Octavio Gutiérrez-Frías, Sergio I. Palomino-Resendiz, Carlos M. Montelongo-Vazquez

“…The control scheme is made up of three feedforward Backstepping Controllers (BC); two act directly on the actuated coordinates, while the third corresponds to an auxiliary control that is responsible for manipulating the orientation angle (actuated coordinate) based on the error of the Y axis (underactuated coordinate), allowing the tracking of desired reference points in the X–Y plane. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…In contrast, the model reconstructed using the proposed method exhibited a smooth transition area, ensuring surface continuity. The deviation cloud map comparing the theoretical model with the complete point cloud indicated a maximum deviation of 0.802 mm, representing the largest error in 3D-printed part manufacturing in the middle of the outer cylinder. …”
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Causes of the Outer Spiral Rainbands in Typhoon Yagi （ 2018） in Shandong Province of China by Chunyan SHENG, Sudan FAN, Qiaona QU, Shijun LIU, Wengang ZHU

“…On August 14， 2018， Typhoon Yagi （2018） moved northward and impacted Shandong Province of China， resulting in widespread rainstorm and heavy rainstorm.The total rainfall caused by the typhoon in Shandong presents a round-shaped distribution.Specifically， on August 14， an outer spiral rainband appeared on the typhoon periphery in southeastern Shandong， bringing short-term heavy rainfall and local heavy rainstorms.Due to the relatively small scale of this rainband， both numerical forecasting models and forecasters face challenges in predicting its rainfall accurately.To study the mechanisms of the outer spiral rainbands of Typhoon Yagi， the characteristics and causes of the spiral rainbands are investigated in this study by using radar data and the observations from ground-based stations， radiosonde stations and aircraft.Numerical experiments are also conducted based on the Advanced Research WRF （Weather Research and Forecasting） model and its Hybrid-3DVAR （three-dimensional variational） data assimilation system.The model adopts 12 km and 4 km one-way nested grids， with 44 vertical layers.The initial ensemble perturbation fields are generated by using a stochastic perturbation method， and the Ensemble Transform Kalman Filter （ETKF） method is used for the bias correction of ensemble forecast， providing flow dependent background errors for the Hybrid-3DVAR assimilation module.Comparative experiments with and without the Aircraft Meteorological Data Relay （AMDAR） data assimilation are conducted by adopting 100% flow-dependent error covariance and by using a 45-minute assimilation time window.The results indicate that the outer spiral rainbands are formed by the merging and development of several linear mesoscale convective systems （MCSs）.The outer spiral rainbands exhibit distinct characteristics of the linear MCSs with leading stratiform precipitation， i.e.， the linear MCSs consist of several convective cells with back-building convection.There are several stronger linear MCSs merging laterally into other linear MCSs.Broad stratiform echoes appear in the front （eastern part） of the linear MCS in its maturity stage， and the convection develops up to 10 km or more.There is a weak-echo transition zone between the strong convective line and the sub-strong stratiform echo region.Short-term heavy rainfall occurs along the linear MCS at the maturity stage.The water vapor of heavy rainfall mainly comes from the near-surface layer （below 850 hPa） around the typhoon， and the water vapor flux convergence is mainly concentrated near the wind field convergence line.Before convection initiation， the middle and lower levels over Shandong are thermally unstable with high temperature and high humidity， and the wind rotates clockwise with height， which favor the development of convective systems.As the typhoon slowly moves northward， downward intrusion of cold air appears at 500 hPa.Below 900 hPa， on the southeast of the typhoon over central Shandong there are local convergence between southwesterly wind and southerly wind， and between southerly wind and southeasterly wind.The convergence-induced dynamic uplift triggers the release of unstable energy， stimulating several local linear MCSs.The MCSs develop northward along the steering flow.The linear MCSs merge and strengthen for several times， and finally the elongated spiral rainbands occur.During the convection lifetime， the updrafts are noticeably stronger than the downdrafts.At the mature stage of the convective systems， dry and cold downdrafts appear in the lower levels in the front of the MCS.Convective systems at the heights above 600 hPa move rapidly eastward with the upper-air steering flow， leading to the gradual weakening and dissipation of the linear MCS.Assimilation of AMDAR can improve the typhoon track and wind field forecasts of the WRF model， as well as the dynamical triggering mechanism of convective systems.Thus， the occurrence of spiral rainbands in the typhoon periphery could be accurately forecasted.Furthermore， central Shandong is a mountainous region， so how does the topography influence the triggering and developing of convective systems？ …”
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Nexus Between Economic Growth, Renewable Energy, Industry Value Added and CO2 Emissions in ASEAN by M. Silahul Mu’min, Indah Susilowati, Hanny Qudsyina, Hesti Asri Wahyuni, Suci Rismawati, Hapsari Ayu Kusumawardhani, Md. Ruyel Miah

“…This study uses the vector error correction model (VECM) for analysis. The estimation results show that CO2 emissions are only influenced by the CO2 variable itself in the previous period in the short term. …”
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Phase Behavior and Physical Parameters of Natural Gas Mixture with CO2 by Dali Hou, Hucheng Deng, Hao Zhang, Kai Li, Lei Sun, Yi Pan

“…The deviations between the saturation pressure calculated by using the model proposed in this study and experimental measured saturation pressure are very small; the average relative error is only 2.86%. Thus, the model can be used to predict the phase equilibrium parameters of high CO2 content natural gas.…”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…GEOMOD also predicts less complexity in shape but the difference between ground truth data and simulation in 2001 (relative error of 0.4 %) was more than 2010 (relative error of 0.1 %). …”
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Unraveling Patient Safety Culture Trends in U.S. Hospital Settings: A Yearly Retrospective Analysis by Hassan Alabdullah, Waldemar Karwowski

“…Key strengths across all years included “Supervisor/Manager Expectations” and “Teamwork within Units”, while persistent weaknesses were observed in “Nonpunitive Response to Error” and “Handoffs and Transitions”. Hospitals in the Southern and Central regions reported the highest positive perceptions. …”
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Multi-state models: metapopulation and life history analyses by A. N. Arnason, E. Cam

“…The presentation by Roger Pradel (Pradel, in press), represented in these proceedings as a brief abstract only, dealt with the problem of errors in sexing animals; an example of what Kendall refers to as bidirectional misclassification. …”
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Polish Steel Production Under Conditions of Decarbonization—Steel Volume Forecasts Using Time Series and Multiple Linear Regression by Bożena Gajdzik, Radosław Wolniak, Anna Sączewska-Piotrowska, Wiesław Wes Grebski

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Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle by Zhumu Fu, Dongfeng Wan, Zhikai Wang, Fazhan Tao

“…Compared with the single-model tracking algorithm, the proposed algorithm’s position root mean square error is significantly reduced by nearly one-third, while also reducing the single running time by nearly one-fourth compared to other multi-model tracking algorithms. …”
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Equilibrium Solubility of Ammonium Nitrate and Potassium Nitrate in (NH₄NO₃-KNO₃-H₂O-C₂H₅OH) Mixed System by Xian Wu, Ganbing Yao, Hao Feng

“…Correlation analysis of the solubility data for the multicomponent system was performed using the nonrandom two-liquid model. Error analysis demonstrates that the calculated values exhibit satisfactory agreement with the experimental data.…”
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Machine Learning Driven Synthesis of Cobalt Oxide Entrapped Heteroatom-Doped Graphitic Carbon Nitride for Enhanced Oxygen Evolution Reaction. by Abdullah Akhdhar, Abdullah S Al-Bogami, Waleed A El-Said, Farhan Zafar, Naeem Akhtar

“…Additionally, optimization of materials remains a complex task, often relying on trial-and-error approaches that do not clearly understand the key features that govern oxygen evolution reaction performance. …”
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Automation of maritime industry in the era of digitalization by Ismail Abdel Ghafar

“…Technical feasibility combined with compelling economic advantages, such as improved efficiency, reduced human error, and operating costs, are driving adoption, especially in the maritime industry. …”
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Determining the Idle Mode of the Last Stages of Powerful Steam Turbines for Wet Steam Area by Senetskaya D.O., Senetskyi A.V.

“…At present, there is no approach to determining the idle mode (the moment of transition from the generation of mechanical power to its consumption) for large fanning stages. …”
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Concomitant Entanglement and Control Criticality Driven by Collective Measurements by Thomas Iadecola, Justin H. Wilson, J.H. Pixley

“…Adaptive quantum circuits—where a quantum many-body state is controlled using measurements and conditional unitary operations—are a powerful paradigm for state preparation and quantum error-correction tasks. They can support two types of nonequilibrium quantum phase transitions: measurement-induced transitions between volume- and area-law-entangled steady states and control-induced transitions where the system falls into an absorbing state or, more generally, an orbit visiting several absorbing states. …”
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Application of porous materials in heat exchangers of heat supply system by N. V. Rydalina, B. G. Aksenov, O. A. Stepanov, E. O. Antonova

“…Divergence of results is within the limits of experimental error. If freon volatilizes inside the heat exchanger, the heat of phase transition has to be taken into account alongside with heat capacity. …”
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The Use of Organisational Learning Practices in Start-Ups Growth by Viktorija Baltrunaite, Jurgita Sekliuckiene

“…Start-ups are more likely to use the error-learning approach than cognitive or action learning practices. …”
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Hydration Tracking via Saliva Osmolarity in Recruit Firefighters Throughout a 12-Week Fire School by A. Maleah Holland-Winkler, Andrew R. Moore, Steven L. Parish, Tiffany J. Oberther

“…Bonferroni-adjusted post hoc tests were used to identify significant differences between weeks while maintaining test-wise error (α = 0.05). Results: AM was significantly lower in week 12 than in weeks 4 and 6, and lower in week 13 than in weeks 2, 4, 6, and 7 (<i>p</i> ≤ 0.035 for all). …”
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