Revisiting cosmic acceleration with DESI BAO by Jincheng Wang, Hongwei Yu, Puxun Wu

“…Our findings indicate significant deviations from the predictions of the $$\Lambda $$ Λ CDM model. Specifically, DESI BAO, DESI BAO + CMB, DESI BAO + CMB + Union3, and DESI BAO + CMB + DESY5 all provide strong evidence for a slowing down of cosmic acceleration at late times, as indicated by $$j(0) < 0$$ j ( 0 ) < 0 at more than 1 $$\sigma $$ σ confidence level, within the framework of $$w_0w_a$$ w 0 w a CDM model. …”
Get full text

Multimessenger Probes of Supermassive Black Hole Spin Evolution by Angelo Ricarte, Priyamvada Natarajan, Ramesh Narayan, Daniel C. M. Palumbo

“…We further predict spin distributions accessible via spatially resolved event horizons by the next-generation Event Horizon Telescope and Black Hole Explorer, as well as gravitational waves by the Laser Interferometer Space Antenna (LISA), each of which offers unique and distinct windows into the population of spinning BHs. …”
Get full text

Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques by Arati Reddy Nilap, H. N. Rajakumara, Ali Aldrees, Hasan Sh. Majdi, Wahaj Ahmad Khan

“…The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. …”
Get full text

Tensor network analysis of the maple-leaf antiferromagnet spangolite by Philipp Schmoll, Harald O. Jeschke, Yasir Iqbal

“…Experimental measurements revealed a non-magnetic ground state at T ~ 8 K with magnetic properties dominated by dimerization. We propose a spatially anisotropic Heisenberg model for the Cu2+ spin-1/2 degrees of freedom on this geometrically frustrated and effectively two-dimensional maple-leaf lattice, featuring five symmetry inequivalent couplings with ferromagnetic bonds on hexagons and antiferromagnetic triangular bonds. …”
Get full text

The impact of offshore wind turbine foundations on local hydrodynamics and stratification in the Southern North Sea by Erik Hendriks, Kobus Langedock, Luca A. van Duren, Jan Vanaverbeke, Wieter Boone, Karline Soetaert, Karline Soetaert

“…Furthermore, our research provides valuable data for validating and improving the models used to predict the ecological impact of OWFs.…”
Get full text

Variations of soil thermal conductivity in the Three-River Source Region, Qinghai‒Xizang Plateau by Jia Liu, Dong-Liang Luo, Wen-Jie Lei, Fang-Fang Chen, Rui-Xia He, Cheng-Song Yang, Yan Lu, Shi-Zhen Li

“…Meanwhile, our results show that an artificial neural network model (R2 = 0.78, p < 0.0001) incorporating ten measured soil physical parameters, outperforms traditional theoretical and empirical models in predicting STC. …”
Get full text

Spatiotemporal dynamics of future hydrology in the Pearl River Basin: Controls of climate change and land surface by Ying Zhang, Jianping Gan

“…Driven by an optimized subset of General Circulation Models through a comprehensive framework of multi-level calibrations, we employed a well-validated Soil and Water Assessment Tool to predict streamflow and investigate the underlying dynamics in the basin. …”
Get full text

Multi‐Frequency Oscillatory Hydraulic Tomography Improves Heterogeneity Imaging and Resolution and Reduces Uncertainty by Jeremy R. Patterson, Michael Cardiff

“…Abstract Understanding subsurface heterogeneity is crucial to predicting groundwater flow pathways, mixing, and other processes in aquifers and other fluid reservoirs. …”
Get full text

Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma by Rimbaud, Loup, Papaïx, Julien, Rey, Jean-François, Moury, Benoît, Barrett, Luke G., Thrall, Peter H.

“…Using the demogenetic, spatially explicit, temporal, stochastic model landsepi, this study is a first attempt to investigate how resistance efficiency, age at the time of resistance activation and target pathogenicity trait jointly impact resistance durability and disease control at the landscape scale. …”
Get full text

NF-κB RelA regulates temporal oligodendrocyte differentiation in the postnatal brains by Kamonrapat Sompub, Norihisa Bizen, Albert S. Baldwin, Albert S. Baldwin, Hirohide Takebayashi, Hirohide Takebayashi, Hirohide Takebayashi

“…In RelA cKO mice, we observed a transient delay of oligodendrocyte differentiation in the postnatal cerebral cortex, albeit in a spatially and temporally restricted manner. Similarly, in the primary cultured oligodendrocyte differentiation model, the loss of RelA resulted in impaired terminal differentiation. …”
Get full text

In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…To improve their efficacy and expand their applicability to solid tumors, scientists optimize different CARs with different modifications. However, predicting and ranking the efficacy of different "off-the-shelf" immune products (e.g., CAR or Bispecific T-cell Engager [BiTE]) and selection of clinical responders are challenging in clinical practice. …”
Get full text

Experimental measurement of mean transition path velocities of colloidal particles surmounting energy barriers by Brandon R Ferrer, Juan Ruben Gomez-Solano

“…Owing to the slow dynamics of the bead in this viscous medium, we can spatially resolve the mean velocity profiles of the transition paths for distinct potentials, which agree with theoretical predictions of a one-dimensional model for the motion of a Brownian particle traversing a parabolic barrier. …”
Get full text

Isotopic niche plasticity of American alligators within the southern Everglades. by Mathew J Denton, Michael S Cherkiss, Frank J Mazzotti, Laura A Brandt, Sidney T Godfrey, Darren Johnson, Kristen M Hart

“…Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. …”
Get full text

Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks by Yongxu Zhang, Catalin Mitelut, David J. Arpin, David Vaillancourt, Timothy Murphy, Shreya Saxena

“…To enable the network to utilize all temporal features of the neural input data, and to enhance the memory of recurrent neural networks, this paper proposes a novel approach: recurrent neural networks with time-varying weights, here termed Time-varying recurrent neural networks. These models are able to not only predict the class of the time-sequence correctly, but also lead to accurate classification earlier in the sequence than standard recurrent neural networks, while also stabilizing gradient dynamics. …”
Get full text

The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock by Jean B. Contina, Rachel L. Seibel, Bhim Chaulagain, Karasi B. Mills, Michael J. Tildesley, Christopher C. Mundt

“…The objectives were to (1) determine the impact of connectivity of the initially infected farm on the size of FMD outbreaks in four counties of differing connectivity; (2) compare FMD spread in counties that have different mean farm connectivity levels over all farms in the county; and (3) determine how connectivity relationships affect an example control measure. We used a spatially explicit stochastic model to simulate FMD outbreaks on livestock farm operations in four UK counties. …”
Get full text

Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…Building on the aforementioned Fourier analysis, this study develops a cylindrical pebble-bed reactor model for steady-state 3D neutron simulation. The results demonstrate that the acceleration efficiency of the CMFD method aligns with the phenomena predicted by the Fourier analysis in cylindrical geometry. …”

Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis by Jangho Lee

“…Seasonal and diurnal evaluations show higher errors in spring and midday hours, likely due to rapid vegetation changes and stronger physical and dynamical processes that make T2M less predictable. Spatially, stations with denser vegetation exhibit elevated errors, suggesting that transpiration and canopy effects complicate the LST-T2M linkage. …”
Get full text

Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations by Phumlani Nzuza, Michelle L. Schröder, Rene J. Heim, Louis Daniels, Bernard Slippers, Brett P. Hurley, IIaria Germishuizen, Benice Sivparsad, Jolanda Roux, Wouter. H Maes

“…XGBoost, Support Vector Machine and Random Forest (RF) were used to predict damage levels using five input spectral data types. …”
Get full text

Clinical, Genetics, and Bioinformatic Characterization of Mutations Affecting an Essential Region of PLS3 in Patients with BMND18 by Ting Chen, Haiying Wu, Chenxi Zhang, Jiarong Feng, Linqi Chen, Rongrong Xie, Fengyun Wang, Xiuli Chen, Huiting Zhou, Hui Sun, Fei Xiao

“…Further bioinformatic analyses of the previously reported mutations revealed that LOOP-1 is predicted to physically connect the calponin-homology 1 (CH1) and CH2 domains of the ABD1 fragment and spatially locates within the interface of ABD1 and ABD2. …”
Get full text

Optimization Analysis of Kitchen Cooking Environment for Air Conditioning Range Hood Based on Thermal Comfort and PM₁₀ Concentration by Shunyu Zhang, Hai Huang, Feng Ye, Fayin Wang, Liangguo Cheng, Yongqiang Tan, Zhihang Shen, Zhenlei Chen

“…Secondly, the temperature field, relative humidity, PM₁₀ concentration, and Predicted Mean Vote (PMV) distribution in the kitchen were analyzed before and after air conditioning activation, confirming its positive effects and limitations. …”
Get full text