Morphological Variation and Spatial Distribution Patterns of <i>Krascheninnikovia compacta</i> (Losinsk.) Grubov in the Tibetan Antelope Breeding Grounds of the Western Kunlun Moun... by Kailing Huang, Fengbing Lai, Mengyu Chen, Ying Song, Shujiang Chen, Zubaydah Wubuaysan, Xiaopeng Zhuang

“…Point pattern analysis, using the g(r) function combined with two null models, demonstrated changes in plant distribution during scale transitions. …”
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Dynamics of post fire plant community assembly in Doñana coastal dunes by Sergio Chozas, André F. Mira, Manuel Serrano, Nagore G. Medina, Joaquín Hortal, María Cruz Díaz-Barradas

“…Abstract Fire significantly contributes to the distribution, composition, and functioning of ecosystems. It is also among the most damaging disturbances, exacerbated by increasing fire intensity and extent due to climate change. …”
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The Gut Bacteria of <i>Gampsocleis gratiosa</i> (Orthoptera: Tettigoniidae) by Culturomics by Hongmei Li, Huimin Huang, Ying Jia, Yuwei Tong, Zhijun Zhou

“…These data reflect the physiological functions of the intestinal microorganisms of <i>G. gratiosa</i> and provide support for subsequent research on the interaction mechanism between microorganisms and their hosts.…”
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Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

“…Four ML models – logistic regression (LR), random forest (RF), eXtreme gradient boosting machine (XGBM), and light gradient boosting machine (LGBM) were used to predict SA in participants, and their results were compared to identify key predictive variables as well as the best-performing model. …”
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Robust ConvLSTM Model With Deep Reinforcement Learning for Stealth Attack Detection in Smart Grids by Ahmad N. Alkuwari, Abdullatif Albaseer, Saif Al-Kuwari, Marwa Qaraqe

“…The advent of modern electricity distribution systems, comprising digital communication technologies and principles, has triggered a new era of smart grids, in which advanced metering infrastructure plays a crucial role in functions, such as digital monitoring and billing. …”
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Reversible Data Hiding of Digital Image Based on Pixel Combination Algorithm by Jingmin Zhang

“…In order to improve the security effect of image information, this paper studies the reversible information hiding of the digital images combined with the pixel combination algorithm and proposes an improved simulated annealing algorithm using the incremental calculation method of statistical functions. Moreover, according to the gray gradient information contained in the image, this paper proposes an automatic threshold determination algorithm suitable for the unimodal gray distribution images and uses this algorithm to complete the threshold determination and binary segmentation of all images. …”
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Shape Optimization of a Labyrinth Seal Applying the Simulated Annealing Method by V. Schramm, J. Denecke, S. Kim, S. Wittig

“…It allows the finding of global minima or maxima of arbitrary functions.…”
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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Abstract This paper introduces the Welsh Advanced Neuroimaging Database (WAND), a multi-scale, multi-modal imaging dataset comprising in vivo brain data from 170 healthy volunteers (aged 18–63 years), including 3 Tesla (3 T) magnetic resonance imaging (MRI) with ultra-strong (300 mT/m) magnetic field gradients, structural and functional MRI and nuclear magnetic resonance spectroscopy at 3 T and 7 T, magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS), together with trait questionnaire and cognitive data. …”
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Plasma Proteomic Profiles of White British and British Indian Vegetarians and Non-Vegetarians in the UK Biobank by Tammy Y. N. Tong, Karl Smith-Byrne, Keren Papier, Joshua R. Atkins, Timothy J. Key, Ruth C. Travis

“…The proteins identified are involved in a range of different biological processes, particularly in gastrointestinal tract function, as well as kidney, liver and muscle functions, and cell growth and cell adhesion, among other processes. …”
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Toward the end-to-end optimization of the SWGO array layout by Tommaso Dorigo, Max Aehle, Cornelia Arcaro, Muhammad Awais, Fabiola Bergamaschi, Julien Donini, Michele Doro, Nicolas R. Gauger, Rafael Izbicki, Jan Kieseler, Ann Lee, Luca Masserano, Federico Nardi, Raaghav Rajesh, Luis Recabarren Vergara, Alexander Shen

“…The pipeline employs stochastic gradient descent to maximize a utility function aligned with the scientific goals of the experiment. …”
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A Unified Approach to Aitchison’s, Dually Affine, and Transport Geometries of the Probability Simplex by Giovanni Pistone, Muhammad Shoaib

“…Frequently, when the data points are compositions of probability functions, the similarity is reduced to affine geometric concepts; the basic notion is that of the straight line connecting two data points, defined as a zero-acceleration line segment. …”
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Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

“…The blood metabolites (15 blood biomarkers related to hepatic damage and function, oxidative stress, inflammation, and innate immunity) were predicted using milk Fourier-transform mid-infrared (MIR) spectroscopy. …”
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An extracellular vesicle based hypothesis for the genesis of the polycystic kidney diseases by Marie C. Hogan, Christopher J. Ward

“…The resultant PKD-ELVs can have multiple functions in different biological contexts. One of the roles of the resultant PKD-ELVs is to generate a planar cell polarity (PCP) signaling gradient along kidney tubules in developing or regenerating kidney. …”
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POWDER METALLURGY AND POSTNONCLASSICAL SCIENCE THE ABSTRACT by A.JU. KEM, L.A. ZHADKO

“…It is shown, that the powder porous body possessing attributes of functionality and distinction in properties (a gradient of structure and properties) as the technical object corresponds to principles antropomorfizm.…”
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Universal thermalization dynamics in (1+1)d QFTs by Richard A. Davison, Luca V. Delacretaz

“…Furthermore, for theories with central charge $c→∞$ we solve for the emergent hydrodynamic theory to all orders in the gradient expansion by arguing that all transport parameters appearing in two-point functions have universal expressions in terms of the scaling dimension $\Delta$ of the perturbation. …”
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The Pore Diffusion Coefficient of Iodide Ion in Rock Samples Using X-ray K-edge Imaging by Jiujiang ZHAO, Zhe WANG, Zhidu ZHANG, Hong ZHAO

“…The value of Δμ is a function of the mass of a tracer along the X-ray path. …”
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Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks? by Jowaria Khan, Rana Elfakharany, Hiba Saleem, Mahira Pathan, Emaan Shahzad, Salam Dhou, Fadi Aloul

“…Smart cities rely on these systems seamlessly functioning with one another, and any successful cyberattack could have devastating effects, including large-scale data theft. …”
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TIMP-1 associates with myelin membrane and preserves myelin in injured peripheral nerve by Hanbum Joe, Hyungseok Seo, Jennifer Dolkas, Megh Jawala, Swathi K. Hullugundi, Yang Hoon Chung, Hemal H. Patel, Andrei V. Chernov, Veronica I. Shubayev

“…Immunoblotting and mass-spectrometry of sucrose gradient-fractionated nerves further confirmed presence of TIMP-1 in myelin/membrane lipid rafts. …”
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Rapid and high-throughput identification of thermal-responsive genes based on cDNA-library in upland cotton by Biyu Xu, Tao Jiang, Yan Wang, Jiani Chen, Wangshu Liu, Ying He, Zhanfeng Si, Yan Hu

“…As a result, a total of 16,120, 13,216 and 172 effective survival genes were filtered after HT stress exposure (42 °C, 220 rpm) for 48 h, 60 h and 72 h, respectively. Functional annotation and enrichment analysis revealed that 170 common genes were involved in regulatory processes associated with HT stress, and the relevant transcriptome data indicated that the majority of these genes responded to temperature fluctuations. …”
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Tactic of diagnostic and treatment of patients with bilateral adrenal gland’s lesions associated with primary aldosteronism by А. O. Nykonenko, I. V. Zubryk, А. А. Podluzhnyi, Ye. I. Нaidarzhi, I. V. Rusanov, A. L. Makarenkov

“…Indication for the surgical treatment or REVD was a gradient of lateralization rated 3:1 and more. If the gradient was below a specified value, the result was regarded as idiopathic aldosteronism (IA) and aldosterone antagonists (verospiron, eplerenonum) with control of K+ concentration level were used. …”
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