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. …”

Neutrophil to Lymphocyte Ratio and Spontaneous Bacterial Peritonitis among Cirrhotic Patients: A Systematic Review and Meta-analysis by Seyed Arsalan Seyedi, Seyed Ali Nabipoorashrafi, Jairo Hernandez, Andrew Nguyen, Brandon Lucke-Wold, Shima Nourigheimasi, Shokoufeh Khanzadeh

“…The goal of this systematic review and meta-analysis was analyzing published studies on the role of neutrophil to lymphocyte ratio (NLR) in infection and spatially spontaneous bacterial peritonitis (SBP) among cirrhotic patients. …”
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Temporal RAGE Over-Expression Disrupts Lung Development by Modulating Apoptotic Signaling by Derek M. Clarke, Madison N. Kirkham, Logan B. Beck, Carrleigh Campbell, Hayden Alcorn, Benjamin T. Bikman, Juan A. Arroyo, Paul R. Reynolds

“…This study sought to evaluate the role of RAGE in lung development by using a transgenic (TG) mouse model that spatially and temporally controlled RAGE overexpression. …”
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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

“…As conventional insect pest monitoring methods are time-consuming and spatially restrictive, this study assessed the potential of UAV monitoring. …”
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Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine learning techniques. …”
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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. …”
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Skin-associated Corynebacterium amycolatum shares cobamides by M. H. Swaney, N. Henriquez, T. Campbell, J. Handelsman, L. R. Kalan

“…Therefore, we hypothesize that cobamide sharing mediates skin community dynamics. Preliminary work predicts that several skin-associated Corynebacterium species encode de novo cobamide biosynthesis and that their abundance is associated with skin microbiome diversity. …”
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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

“…Specifically, we used artificial neural networks (ANN) to incorporate object detection into segmentation. The proposed ANN model extracts the most useful information to differentiate different IS datasets. …”
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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. …”
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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

“…Firstly, the reliability of the simulation model was verified through a comparative analysis of experimental tests and simulation data. …”
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Oceanographic and trophodynamic underpinnings of anchovy success in the northern California Current by Kelsey Swieca, Kelsey Swieca, Su Sponaugle, Su Sponaugle, Moritz S. Schmid, Jami Ivory, Robert K. Cowen

“…Instead, consideration of larval fish trophodynamics together with local oceanography is likely necessary to mechanistically relate survival and recruitment to the physical environment.MethodsWe examined otolith-derived metrics of northern anchovy (Engraulis mordax) growth in the context of local oceanography and anchovy in situ prey and zooplankton predators in the northern California Current (NCC).ResultsAnchovy growth was spatially variable and the regions that conferred heighted growth differed with regard to the cross-shelf extent of upwelled waters. …”
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Previous reproductive success and environmental variation influence nest‐site fidelity of a subarctic‐nesting goose by Jordan M. Thompson, Brian D. Uher‐Koch, Bryan L. Daniels, Thomas V. Riecke, Joel A. Schmutz, Benjamin S. Sedinger

“…., the win‐stay lose‐switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. …”
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Analysis on Spatio-Temporal Variability of Fractional Vegetation Cover and Influencing Factors from 2000 to 2020 in Southwestern China by Yuting LIU, Lei WANG, Xiehui LI, Lei GUO

“…The southwestern China is a vital ecological safeguard and is characterized by ecological fragility and climate sensitivity.Based on the MOD13A3 NDVI dataset， this study used a pixel dichotomy model to calculate the average Fractional Vegetation Cover （FVC） from 2000 to 2020 annually， during growing seasons， and in each of the four seasons for the whole southwestern China and its provinces， a spatio-temporal variation analysis was then performed on FVC across different time scales.The study also discussed the primary factors influencing FVC changes over the past 21 years， using ERA5 temperature data， GPCP satellite precipitation data， and DEM data.Finally， the Hurst Index was used to predict future FVC trends.（1） The results indicate that from 2000 to 2020， the overall FVC in the eastern part of the southwestern China showed an increasing trend， particularly in Chongqing and Guizhou， while Tibet showed a general decline.（2） Spatially， the FVC generally showed a "higher in the east and lower in the west" trend， with areas where FVC increased accounting for 43.9% of the total area， and areas of decrease accounting for 53.5%.（3） Precipitation promotes FVC， while temperature has varied effects in different regions.（4） Human activity significantly impacts FVC， with promotion， suppression， and no effect zones accounting for 40.4%， 47.6%， and 12.0% of the grid percentage， respectively.（5） Elevation and FVC over different time scales are significantly correlated but both exhibit a pronounced declining trend.FVC increases significantly with slope， but decreases when the slope is greater than 25°.The effect of aspect on FVC in the southwestern China is less significant than that of slope， elevation， and climatic factors.（6） In the future， the FVC in Tibet and the eastern parts of Sichuan， Yunnan， and Guizhou in the southwestern China will increase， while most areas of western Sichuan and the Hengduan Mountains will exhibit a decreasing trend.The results can provide data support and scientific guidance for the formulation of ecological protection plans in the southwestern China.…”
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The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO). XI. Beam-corrected Gas Disk Sizes from Fitting 12CO Moment Zero Maps by Leon Trapman, Miguel Vioque, Nicolás T. Kurtovic, Ke Zhang, Giovanni P. Rosotti, Paola Pinilla, John Carpenter, Lucas A. Cieza, Ilaria Pascucci, Rossella Anania, Carolina Agurto-Gangas, Dingshan Deng, James Miley, Laura M. Pérez, Anibal Sierra, Benoît Tabone, Dary A. Ruiz-Rodriguez, Camilo González-Ruilova, Estephani TorresVillanueva

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Sugar Maple Litter Decay Rates Are Reduced More Strongly by Drought Than by American Beech Proliferation in the Understory by William F. J. Parsons, Claudele Ghotsa Mekontchou, Audrey Maheu, David Rivest

“…Mass loss did not change with mesh size in a consistent manner over 90 days (initial prediction: L > M > S). We estimated k‐values (year−1) by extending the linearized exponential decay model to 12 Proliferation‐Exclusion‐Species combinations. …”
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Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE) by B. R. Carter, B. R. Carter, J. Schwinger, R. Sonnerup, A. J. Fassbender, J. D. Sharp, J. D. Sharp, L. M. Dias, L. M. Dias, D. E. Sandborn

“…Unfortunately, C<span class="inline-formula">_anth</span> estimation methods are typically only accessible to trained scientists and modelers with access to significant computational resources. …”
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The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO). III. Dust and Gas Disk Properties in the Lupus Star-forming Region by Dingshan Deng, Miguel Vioque, Ilaria Pascucci, Laura M. Pérez, Ke Zhang, Nicolás Kurtovic, Leon Trapman, Estephani E. TorresVillanueva, Carolina Agurto-Gangas, John Carpenter, Paola Pinilla, Uma Gorti, Benoît Tabone, Anibal Sierra, Giovanni P. Rosotti, Lucas A. Cieza, Rossella Anania, Camilo González-Ruilova, Michiel R. Hogerheijde, James Miley, Dary A. Ruiz-Rodriguez, Maxime Ruaud, Kamber Schwarz

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