Cell fate analysis of embryonic ventral mesencephalic grafts in the 6-OHDA model of Parkinson's disease. by Sonya Carvalho Neto, Ahmad Salti, Zoe Puschban, Nadia Stefanova, Roxana Nat, Georg Dechant, Gregor K Wenning

“…To investigate this further, we used a GFP reporter mouse as source of VM tissue that enabled the detection and dissection of the grafts 6 weeks post implantation. …”
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Reconstructing real-space geometries of polyatomic molecules undergoing strong field laser-induced Coulomb explosion by Aydin Ashrafi-Belgabad, Reza Karimi, Mohammad Monfared, Kaili Tian, Parviz Parvin, Benji Wales, Éric Bisson, Samuel Beaulieu, Mathieu Giguère, Jean-Claude Kieffer, Philippe Lassonde, François Légaré, Heide Ibrahim, Joseph H. Sanderson

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Organics in the stratosphere: new insights from weather balloon flights conducted in France by Roland Benoit, Hazel Vernier, Jean-Paul Vernier, Lilian Joly, Nicolas Dumelié, Gisèle Krysztofiak, Loïc Vieille, Sandrine Delpeux, Cyril Crevoisier, Philippe Dagaut, Gwenaël Berthet

“…Abstract Atmospheric aerosols significantly influence the Earth’s climate, yet they remain a major source of uncertainty in climate projections. Here, we present a set of unique offline analysis of organics collected from the ground to the stratosphere with ultimate sensitivity using a new balloon-borne sampling technique deployed on simple weather balloons. …”
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Targeting Amyloid Pathology in Early Alzheimer’s: The Promise of Donanemab-Azbt by Nadia Khartabil, Ayda Awaness

“…It specifically targets and reduces amyloid beta plaques, a hallmark of the disease, potentially slowing progression and preserving cognitive function. However, its administration requires careful patient selection, including genetic testing for ApoE ε4 status, to mitigate risks of ARIA. …”
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Rehabilitation impact indices and their independent predictors: a systematic review by Amardeep Thind, Gerald Choon-Huat Koh, Robert Petrella, Cynthia Huijun Chen

“…Objectives To (1) identify all available rehabilitation impact indices (RIIs) based on their mathematical formula, (2) assess the evidence for independent predictors of each RII and (3) propose a nomenclature system to harmonise the names of RIIs.Design Systematic review.Data sources PubMed and references in primary articles.Study selection First, we identified all available RII through preliminary literature review. …”
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Association of Trace Elements with Polycystic Ovary Syndrome in Women—A Case-Control Study by Tinkara Srnovršnik, Bojana Pinter, Milena Horvat, Janja Snoj Tratnik, Ingrid Falnoga, Darja Mazej, Ivan Verdenik, Irma Virant-Klun

“…This case–control study aimed to determine levels of essential TEs (manganese (Mn), copper (Cu), zinc (Zn), selenium (Se), molybdenum (Mo)) and non-essential TEs (arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb)) in urine, whole blood, and serum to investigate a possible association with kidney and liver function, endocrine and metabolic parameters, and environmental and lifestyle sources of potential exposure and provide possible recommendations. …”
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Fluxgate Magnetometers Based on New Physical Principles by Ivan V. Bryakin, Igor V. Bochkarev, Vadim R. Khramshin, Vadim R. Gasiyarov, Ivan N. Erdakov

“…The authors considered a generalized flow of the physical processes in the FM to obtain a detailed representation of the operating functions of the FM. The presented experimental results for the proposed FM in the field meter mode confirm its operating parameters (±40 μT—measurement range, 0.5 nT—detection threshold). …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. …”
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Extracellular vesicles in cancer´s communication: messages we can read and how to answer by Alena Semeradtova, Michaela Liegertova, Regina Herma, Magdalena Capkova, Chiara Brignole, Genny Del Zotto

“…This review provides a comprehensive overview of the biogenesis, composition, and functional roles of EVs in cancer, highlighting their significance in both basic research and clinical applications. …”
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring by Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu

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3D Heisenberg universality in the van der Waals antiferromagnet NiPS3 by Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa, Lingjia Shen, Nicholas Burdet, Zach Porter, Alexander Petsch, Aidan Israelski, Hongwei Chen, Jun-Sik Lee, Sophie Morley, Sujoy Roy, Gilberto Fabbris, Elizabeth Blackburn, Adrian Feiguin, Arun Bansil, Wei-Sheng Lee, Aaron M. Lindenberg, Sugata Chowdhury, Mike Dunne, Joshua J. Turner

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Systematic Analysis for fNIRS Measurement Combining Sensitivity and SNR Based on the Colin27 Brain Template by Yalin Wang, Wei Chen

“…Functional near-infrared spectroscopy (fNIRS) is widely used in brain science. …”
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Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network. by Tingting Wang, Tong Wu, Defu Yang, Ying Xu, Dongyang Lv, Tong Jiang, Hengjiao Wang, Qi Chen, Shengnan Xu, Ying Yan, Baoguang Lin

“…This method offers significant guidance for medical diagnosis, grading, and treatment strategy selection.<h4>Methods</h4>Glioma case data were sourced from the BraTS2023 public dataset. …”
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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…Due to the active use of bioreactors, in order to optimize production processes and reduce operating costs, new highly efficient automated devices with a variety of functions are being developed using modern automation technologies, artificial intelligence and 3-D printing. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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MGSurvE: A framework to optimize trap placement for genetic surveillance of mosquito populations. by Héctor M Sánchez C, David L Smith, John M Marshall

“…For these projects, monitoring will be required to detect unintended spread of gene drive mosquitoes beyond field sites, and the emergence of alternative alleles, such as drive-resistant alleles or non-functional effector genes, within intervention sites. …”
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Prokaryotic microbial compositions and physicochemical characteristics of Huangshui, a by-product of Baijiu fermentation by TANG Yanping, GAO Xiubing, NI Jie, ZHANG Fengqin

“…In this study, the similarities and differences in physicochemical properties and prokaryotic microbial structures among different sources of Huangshui were comprehensively analyzed by physicochemical detection methods and high-throughput sequencing technology. …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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