EXPERIENCE IN PRESERVING THE GENETIC DIVERSITY OF STONE FRUITS USING THE BORDER HEDGING TECHNOLOGY by G. V. Eremin, T. A. Gasanova, V. G. Eremin, I. S. Chepinoga

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An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

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Assessing the potential for in vivo modulation of FTH1 gene expression with small peptides to restore and enhance androgen receptor pathway inhibition in prostate cancer by Crawford Currie, Christian Bjerknes, McKayla Nicol, Sateesh Kumar, Bomi Framroze

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Polypore fungi as a flagship group to indicate changes in biodiversity – a test case from Estonia by Kadri Runnel, Otto Miettinen, Asko Lõhmus

“…Four broad ecological patterns are described: (1) polypore assemblage organization in natural forests follows major soil and tree-composition gradients; (2) landscape-scale polypore diversity homogenizes due to draining of peatland forests and reduction of nemoral broad-leaved trees (wooded meadows and parks buffer the latter); (3) species having parasitic or brown-rot life-strategies are more substrate-specific; and (4) assemblage differences among woody substrates reveal habitat management priorities. …”
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An additional replication origin causes cell cycle specific DNA replication fork speed by Ole Skovgaard

“…Consequently, the number of active replication forks varies dynamically—from zero to four, then two, then one, and finally zero—compared to the fixed zero–two–zero pattern observed in wild-type cells. RFS was calculated using marker frequency analysis of deep sequencing data. …”
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Phaseolin diversity in cultivated common bean from the Caribbean Diversidad de faseolinas en frijol común cultivado del Caribe by Hidalgo Rigoberto, Blair Mathew, Pantoja Wilfredo

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BioImpedance Spectroscopy to maintain Renal Output: the BISTRO randomised controlled trial by Simon J Davies, David Coyle, Elizabeth Lindley, David Keane, John Belcher, Fergus Caskey, Indranil Dasgupta, Andrew Davenport, Ken Farrington, Sandip Mitra, Paula Ormandy, Martin Wilkie, Jamie MacDonald, Mandana Zanganeh, Lazaros Andronis, Ivonne Solis-Trapala, Julius Sim

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Diversidad de faseolinas en frijol común cultivado del Caribe Phaseolin diversity in cultivated common bean from the Caribbean by Matthew W. Blair, Wilfredo Pantoja D, Rigoberto Hidalgo

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Seasonal Changes in the Carbohydrate Pool of an Atlantic Forest Soil under Different Vegetation Types Variación estacional de los carbohidratos en un suelo forestal de la región at... by Ángela Martín, Montserrat Díaz-Raviña, Tarsy Carballas

“…Seasonal variations of hexoses and pentoses exhibited the same behaviour pattern, showing that for FA and FB fractions higher concentrations of both neutral sugars were found in spring and winter (mean values: 12 and 14 g total neutral sugars kg<sup>-1</sup> d.w., respectively) than in summer and autumn (7 and 8 g total neutral sugars kg<sup>-1</sup> d.w., respectively). …”
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Differences in Looking at Own- and Other-Race Faces Are Subtle and Analysis-Dependent: An Account of Discrepant Reports. by Joseph Arizpe, Dwight J Kravitz, Vincent Walsh, Galit Yovel, Chris I Baker

“…Though there were no significant differences in the spatial density maps, the qualitative patterns matched the results from the AOI analyses reflecting how, in certain contexts, Area of Interest (AOI) analyses can be more sensitive in detecting the differential fixation patterns than spatial density analyses, due to spatial pooling of data with AOIs. …”
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Proteomic profiling of kidney biopsies in nephrotic syndrome [version 1; peer review: 2 approved, 1 approved with reservations] by Emily Williams, Anna S Li, Maryline Fresquet, Elizabeth Colby, Craig Lawless, Gavin I Welsh, David Knight, Judy Watson, Rachel Lennon, Moin A Saleem

“…Background Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are patterns of kidney injury observed in the filtering units of the kidney known as glomeruli. …”
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Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

“…Abstract Pedestrian re‐identification (re‐ID) is an important research direction in computer vision, with extensive applications in pattern recognition and monitoring systems. Due to uneven data distribution, and the need to solve clustering standards and similarity evaluation problems, the performance of unsupervised methods is limited. …”
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Persistent Heterogeneities in the Oceanic Lithosphere Due To Differential Freezing Beneath Ridges by Shi Joyce Sim, Ting‐Ying Yu, Chris Havlin

“…In our models, some melt generated from decompression melting is frozen back into the lithosphere, forming a layered refertilization pattern. These refertilized layers are due to the stacked horizontal layering pattern of melt pooling beneath the freezing front. …”
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META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies. by Albert Rosenberger, Stefanie Friedrichs, Christopher I Amos, Paul Brennan, Gordon Fehringer, Joachim Heinrich, Rayjean J Hung, Thomas Muley, Martina Müller-Nurasyid, Angela Risch, Heike Bickeböller

“…The single marker association estimates of a predefined set of genes are either contrasted with those of all remaining genes or with a null non-associated background. To pool the p-values from several GSAs, it is important to take into account the concordance of the observed patterns resulting from single marker association point estimates across any given gene set. …”
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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

“…CNNs extract spatial pollutant patterns from satellite images, whereas BiLSTM networks simulate temporal dynamics in pollutant and weather data. …”
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Temporal dynamics of chicken host’s molecular response against Fowl adenovirus serotype 8b infection via RNA-sequencing by Bahiyah Azli, Nur Farhana Salim, Mohd Hair-Bejo, Abdul Rahman Omar, Norfitriah Mohamed Sohaimi, Ugwu Chidozie Clifford, Nor Asilah Wati Abdul Hamid, Nurulfiza Mat Isa

“…A total of 21,662 genes were identified in both control and infected groups, enriched in various biological processes and pathways, displaying patterns of disease progressions. The transcriptome analysis results revealed a three-fold reduced pattern of gene regulation with 9146, 7335, and 3800 significant differential expressed genes (DEGs) at 2-, 5-, and 7-dpi (dpi), respectively. …”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

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AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…However, under real-world conditions such as poor image quality, environmental interference, and complex crack patterns, existing models still face challenges in detecting fine cracks and often rely on large training parameters, limiting their practicality in complex environments. …”
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A Hybrid Attention Framework Integrating Channel–Spatial Refinement and Frequency Spectral Analysis for Remote Sensing Smoke Recognition by Guangtao Cheng, Lisha Yang, Zhihao Yu, Xiaobo Li, Guanghui Fu

“…Concurrently, the frequency branch explicitly enhances high-frequency edge patterns, which are critical for distinguishing subtle textural variations characteristic of smoke plumes. …”
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Delineating potential DRT operating areas: An origin–destination clustering approach by Hussein Mahfouz, Malcolm Morgan, Eva Heinen, Robin Lovelace

“…However, many DRT schemes fail—often due to overly flexible, poorly targeted service areas that do not align with actual travel patterns, making efficient pooling difficult. While planners may already have a general sense of where DRT might be useful, there is limited guidance on how to identify precise operating zones based on spatiotemporal demand. …”
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