A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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Consistent microbial insights across sequencing methods in soil studies: the role of reference taxonomies by Niranjana Rose Edwin, Aoife Duff, Coline Deveautour, Fiona Brennan, Florence Abram, Orla O'Sullivan

“…Our findings reveal that both methods offer moderately similar outcomes, providing consistent detection of major phyla, similar microbial community differentiation patterns, and largely identifying the same relationships between the phyla and nitrogen functions. …”
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Mobile phone encryption as an obstacle in criminal investigation: Review of comparative solutions by Pisarić Milana

“…In detecting criminal offences, the police increasingly rely on electronic evidence. …”
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TRIM study protocol - a prospective randomized multicenter Trial to assess the Role of Imaging during follow-up after radical surgery of stage IIB-C and III cutaneous malignant Mel... by Ylva Naeser, Hildur Helgadottir, Yvonne Brandberg, Johan Hansson, Roger Olofsson Bagge, Nils O. Elander, Christian Ingvar, Karolin Isaksson, Petra Flygare, Cecilia Nilsson, Frida Jakobsson, Olga del Val Munoz, Antonis Valachis, Malin Jansson, Charlotte Sparring, Lars Ohlsson, Ulf Dyrke, Dimitrios Papantoniou, Anders Sundin, Gustav J. Ullenhag

“…Early onset of treatment seems to improve outcome, which suggests that early detection of recurrent disease should be beneficial. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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TSLP pretreatment inhibits M1 macrophage polarization and attenuates LPS-induced iNKT cell-dependent acute lung injury by Ting Zhou, Ziyao Zhang, Yawen Zhan, Meiying Wang, Meiying Wang, Meiying Wang, Mi Wu, Xiufang Weng, Xiufang Weng, Xiufang Weng, Xiufang Weng, Younian Xu, Younian Xu, Younian Xu

“…The ratio, number, phenotype, and function of immune cells and cytokine levels were measured. …”
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Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

“…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
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Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

“…Annovar, Intervar, Variant Effect Predictor (VEP), and OncoKB software tools were used to functionally annotate and interpret somatic variants detected. …”
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THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

“…However, this error is detected through the values of the nonlinear term included in the differential equation, which is determined according to the binomial representation through the quadratic forms of the matrix of the trial function. …”
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Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows by Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-e Qiang, Ziren Luo

“…Detecting the coalescences of massive black hole binaries (MBHBs) is one of the primary targets for space-based gravitational wave observatories such as laser interferometer space antenna, Taiji, and Tianqin. …”
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Distribution, Occupancy, and Habitat of the Endangered Carolina Madtom: Implications for Recovery of an Endemic Stream Fish by W. Robert Cope, Thomas J. Kwak, Tyler R. Black, Krishna Pacifici, Jennifer M. Archambault, W. Gregory Cope

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Transcriptome-wide identification of 5-methylcytosine by deaminase and reader protein-assisted sequencing by Jiale Zhou, Ding Zhao, Jinze Li, Deqiang Kong, Xiangrui Li, Renquan Zhang, Yuru Liang, Xun Gao, Yuqiang Qian, Di Wang, Jiahui Chen, Liangxue Lai, Yang Han, Zhanjun Li

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JWST/NIRCam Narrowband Survey of Paβ Emitters in the Spiderweb Protocluster at z = 2.16 by Rhythm Shimakawa, J. M. Pérez-Martínez, Helmut Dannerbauer, Yusei Koyama, Tadayuki Kodama, Pablo G. Pérez-González, Chiara D’Eugenio, Yuheng Zhang, Abdurrahman Naufal, Kazuki Daikuhara

“…Furthermore, we examine the possibility of detecting faint line emitters visible only in the narrowband image but find no promising candidates.…”
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Simple fuzzy classification of metal qualities of Ona River, Ibadan, Nigeria, and its implication for fish production and other uses by Olayiwola Akin Akintola, Foluso Oyedotun Agunbiade, Tolulope Omolayo Ariyomo, Toju Esther Babalola, Bolaji Adelanke Adabembe, Oluwaseun Temitope Faloye, Opeyemi Samuel Sajo

“…The results revealed that the PTEs: Fe, Pb, Cd, Cr, and Mn were detected above guideline limits in several sampling points, indicating possible contamination from anthropogenic sources. …”
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Glyceraldehyde-3-phosphate dehydrogenase acts as a mitochondrial trans-S-nitrosylase in the heart. by Mark J Kohr, Elizabeth Murphy, Charles Steenbergen

“…Mitochondrial proteins have been shown to be common targets of S-nitrosylation (SNO), but the existence of a mitochondrial source of nitric oxide remains controversial. SNO is a nitric oxide-dependent thiol modification that can regulate protein function. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…To get a fast solution using limited computational resources, those methods assume the tissue is homogeneous and non-dispersive, and thus, a simplified far-field Green’s function is used. …”
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Sunlight Noise Mitigation in FMCW LiDAR Using FADOF by Longfei Yin, Wei Tang, Ziwei Geng, Haodi Zhan, Lei Chen, Dasheng Qian, Guohua Wu, Bin Luo

“…Additionally, the system achieves a detection range of at least 17 meters under direct sunlight conditions. …”
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Role of Polyphosphate as an Inorganic Chaperone to Prevent Protein Aggregation Under Copper Stress in <i>Saccharolobus solfataricus</i> by José Acevedo-López, Gabriela González-Madrid, Claudio A. Navarro, Carlos A. Jerez

“…In <i>Escherichia coli</i>, polyphosphates also function as inorganic molecular chaperones. The present study aims to investigate whether polyphosphate serves a similar chaperone function in archaea, using <i>Saccharolobus solfataricus</i> as a model organism. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…<h4>Objectives</h4>The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). …”
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