Endangered Pinto/Northern Abalone (Haliotis kamtschatkana) are Panmictic Across Their 3700 km Range Along the Pacific Coast of North America by J. L. Dimond, J. V. Bouma, F. Lafarga‐De la Cruz, K. J. Supernault, T. White, D. A. Witting

“…ABSTRACT Connectivity is integral to the dynamics of metapopulations through dispersal and gene flow, and understanding these processes is essential for guiding conservation efforts. …”
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Pharmacogenomics and Pharmacometabolomics in Precision Tramadol Prescribing for Enhanced Pain Management: Evidence from QBB and EMR Data by Dhoha Dhieb, Najeha Anwardeen, Dinesh Velayutham, Mohamed A. Elrayess, Puthen Veettil Jithesh, Kholoud Bastaki

“…<b>Conclusions</b>: This study underscores the importance of integrating genetic and omics-based approaches to enhance tramadol’s efficacy and safety. …”
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Sustainability and Water Management: A technological approach to evaluate water infiltration in different soils by Luis Fernando Fantti, Willian José Ferreira, Marcelo dos Santos Targa, Julio Cesar Raposo de Almeida, Rafael Barbosa Rodrigues, Marcos Cleve da Silva

“…In order to promote sustainable water management practices and maintain soil integrity, it is essential to explore methods that provide accurate measurements and a deeper understanding of these processes.   …”
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De novo establishment of an ex vivo culture for living myocardial slices applying a microphysiological system – MPSlms by Jordan Maria, Schmieder Florian, Waleczek Florian J. G., Polk Christoph, Stucki-Koch Angelika, Philipp Jürgen, Dietzel Leila, Clement Alexander, Behrens Stephan, Thum Thomas, Sonntag Frank, Fiedler Jan

“…Basic cell culture models lack cardiac tissue architecture and intercellular communication, limiting their translational capability. Force measurement methods on ex vivo cultured living myocardial slices (LMS) have been described for contraction analysis studies after compound treatment. …”
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Enhancing wheat genomic prediction by a hybrid kernel approach by Jaime Cuevas, Jose Crossa, Jose Crossa, Abelardo Montesinos-López, Johannes W. R. Martini, Guillermo Sebastiáń Gerard, Jaime Ortegón, Susanne Dreisigacker, Velu Govindan, Paulino Pérez-Rodríguez, Carolina Saint Pierre, Leonardo Abdiel Crespo Herrera, Osval A. Montesinos-López, Paolo Vitale

“…This study integrates genomic and pedigree data by leveraging advanced modeling techniques, aiming to enhance the predictive performance of genomic selection models by capturing complex genetic relationships through the interaction of both matrices and exploring the utility of non-linear methods, such as kernel matrices. …”
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Optimal Res-UNET architecture with deep supervision for tumor segmentation by Rahman Maqsood, Fazeel Abid, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Onur Osman, Shtwai Alsubai

“…However, optimizing U-Net variants to enhance performance and computational efficiency remains challenging.ObjectiveTo develop an optimized Residual U-Net (Res-UNET) architecture enhanced by deep supervision techniques to improve segmentation accuracy of brain tumors on MRI datasets, specifically addressing challenges of conventional segmentation methods.MethodsThe study implemented a detailed evaluation of multiple U-Net variations, including basic U-Net, Res-UNet with Autoencoder regularization, and attention-enhanced U-Net architectures. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…However, methods based on CNN pay insufficient attention to valuable pixels in 3-D HSI samples and cannot adapt to variations in these samples. …”
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Colombian centenarians: A Geohealth approach to longevity study. by Clímaco de Jesús Pérez-Molina, Flor Elena Chavarro-Bermeo, Luis-Fernando Gutiérrez-Fernández, Santiago Galvis-Villamizar, Wanderley Augusto Arias Ortiz, Laura Cabezas-Pinzón, Carlos-Felipe Escobar-Roa

“…<h4>Methods</h4>An ecological study was conducted using anonymized microdata from the 2018 National Population and Housing Census (CNPV). …”
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Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill. by Vanessa Forte, Luisa Sartori, Antonino Visalli, Mustafa Yildirim, Gaspare Galati, Massimo Vidale, Emanuela Faresin, Antonino Vallesi

“…In this study, we explored the biocultural mechanisms underlying ancient craft behaviours. Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. …”
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Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…Indeed,  due  to  the  complex architectural  features  and  the  still  ongoing  fieldwork  activities,  Segesta  represents  an  ideal  context  where  to  test  and develop a research approach integrating both traditional and more innovative tools and methods.…”
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Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor mic... by Wenyang Nie, Wangzheqi Zhang, Zhikai Xiahou, Yuxuan Meng, Yuhang Liu, Jingwen Zhang, Zhen Wang, Yong Wang

“…Notwithstanding therapeutic advancements, resistance to treatment remains a significant obstacle. scRNA-seq offers comprehensive insights into the immune signaling network and immunological dynamics inside the CRC’s TME.MethodsWe integrated scRNA-seq data from GEO with extensive RNA-seq data from TCGA to elucidate immunological signaling and dynamic cellular variation in the TME of CRC. …”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

“…This study aims to enhance the prediction of marine Chl-a concentrations by introducing the chlorophyll-a concentration prediction model (ChlaPM), which was developed on the basis of a convolutional long short-term memory (ConvLSTM) network. The model integrates recent spatiotemporal feature extraction (RSTFE), periodic feature extraction (PFE), and denoising fusion (DNF) modules to effectively capture short-term spatiotemporal changes and periodic variations in Chl-a concentrations. …”
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A proteotranscriptomic approach to dissect the molecular landscape of human retinoblastoma by Julian Wolf, Rozina Ida Hajdu, Stefaniya Boneva, Ira Godbole, Lucas Stürzbecher, Claudia Auw-Haedrich, Wolf A. Lagrèze, Hansjürgen Agostini, Thomas Reinhard, Stefan Tholen, Oliver Schilling, Günther Schlunck, Bertram Bengsch, Clemens Lange

“…This study aimed to perform an integrated proteotranscriptomic characterization of human retinoblastoma to provide a deeper understanding of disease biology and to identify novel therapeutic targets.MethodsPaired tumor and adjacent retinal tissue samples were dissected from seven eyes. …”
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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

“…In comparison with existing methods, DSHA outperformed the existing state-of-the-art methods on the benchmark dataset. …”
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Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective In... by Nisha Sharma, Alice Leaver, Ben Glocker, William Teh, Cary J G Oberije, Rachel Currie, Alan Redman, Georgia Fox, Galvin Khara, Jonathan Nash, Annie Y Ng, Peter D Kecskemethy

“…Objectives Evaluate an Artificial Intelligence (AI) system in breast screening through stratified results across age, breast density, ethnicity and screening centres, from different UK regions.Methods A large-scale retrospective study evaluating two variations of using AI as an independent second reader in double reading was executed. …”
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Enhanced YOLO11n-Seg with Attention Mechanism and Geometric Metric Optimization for Instance Segmentation of Ripe Blueberries in Complex Greenhouse Environments by Rongxiang Luo, Rongrui Zhao, Bangjin Yi

“…This study proposes an improved YOLO11n-seg instance segmentation model to address the limitations of existing models in accurately identifying mature blueberries in complex greenhouse environments. Current methods often lack sufficient accuracy when dealing with complex scenarios, such as fruit occlusion, lighting variations, and target overlap. …”
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Deep learning-based classification of lymphedema and other lower limb edema diseases using clinical images by Thanat Lewsirirat, Taravichet Titijaroonroj, Sirin Apichonbancha, Ason Uthatham, Veera Suwanruangsri, Nirut Suwan, Surakiat Bokerd, Tossapol Prapassaro, Wanchai Chinchalongporn, Nutcha Yodrabum

“…Conventional diagnostic methods rely heavily on clinical expertise, which may fail to distinguish subtle variations between these conditions. …”
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R2SCAT-LPR: Rotation-Robust Network with Self- and Cross-Attention Transformers for LiDAR-Based Place Recognition by Weizhong Jiang, Hanzhang Xue, Shubin Si, Liang Xiao, Dawei Zhao, Qi Zhu, Yiming Nie, Bin Dai

“…However, these methods often struggle with capturing global contextual information and maintaining robustness to viewpoint variations. …”
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Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…Given the importance of safety in autonomous driving, existing methods are constantly striving to improve accuracy and reduce error. …”
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Tactics and strategy analysis in professional badminton: insights from match data and performance metrics- a systematic review by Eval Edmizal, Dally Rahman, Eri Barlian, Donie Donie, Alnedral Alnedral

“…This study uses match data and performance metrics as the primary evaluation tools. Materials and Methods: This study adopted a systematic review design with strict selection criteria for data sources. …”
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