Automated generation of structure datasets for machine learning potentials and alloys by Marvin Poul, Liam Huber, Jörg Neugebauer

“…Abstract We propose a strategy for generating unbiased and systematically extendable training data for machine learning interatomic potentials (MLIP) for multicomponent alloys, called Automated Small SYmmetric Structure Training or ASSYST. …”
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Initial Phase and Modulation Factor Optimization for Structured Illumination Microscopy by Yanwei Zhang, Cong Luo, Hongwei Wang, Song Lang, Yan Gong, Yuguo Tang

“…Structured illumination microscopy (SIM) is a widefield super-resolution technique in fluorescent imaging. …”
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Enterprises' effectiveness: A study on structure, focus, and enterprises' outcomes by Zlatković-Radaković Matea

“…To fulfil the aim of the research, a quantitative, research design based on cross-section data was carried out to collect and analyses data from 224 organizational representatives. …”
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Survey Based on Edge Structured File Systems in Edge Computing by Ravula Rajesh, Ripon Patgiri

“…Overall, edge-computing ecosystems rely on ESFs to deliver optimal performance, resilience, and data availability. The article discusses several studies on edge-structured file systems, highlighting their features and limitations of previous works. …”
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FEATURES OF THE STRUCTURE AND FORMATION OF THE KAMCHATKA CANYON (THE PACIFIC MARGIN OF KAMCHATKA) by V. L. Lomtev

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Constructing age-structured matrix population models for all fishes by Masami Fujiwara

“…However, the development of these models is often limited by insufficient life history data, particularly for non-charismatic species. This study addresses this gap by using life history data from FishBase and the FishLife R package, complemented by size-dependent natural mortality estimates, to parameterize age-structured matrix population models applicable to most fish species. …”
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catena-Poly[[diphenyltin(IV)]-di-μ-isothiocyanato]: an unprecedented layered coordination polymer resulting from bridging κ2N:S thiocyanato ligands by Ann-Kathrin Pancratz, Anne Kamrowski, Hans Reuter

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Brain Structure Segmentation From MRI by Geometric Surface Flow

“…<p>We present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. …”
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The impact of digital transformation on organizational structure and decision-making processes by Dabetić Arsenije

“…This paper explores the impact of digital transformation on organizational structure and decision-making processes. The aim of the research is to determine how technological innovations, such as cloud computing, artificial intelligence, and data analytics, are changing traditional management and organizational models. …”
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Investigation of nuclear structure near doubly magic 132Sn by Das Sangeeta, Gupta Arkabrata

“…Recent expansions of the level schemes has provided valuable structural insights. A detailed comparison of excitation energies and electromagnetic transition rates between experimental data and theoretical predictions offers a deep understanding of these nuclei. …”
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Board Structure and the Profitability of Listed Consumer Goods Firms in Nigeria by Yusufu, Ojochenemi Sunday, Ibrahim, Mohammed Gaddafi, Ali, Abubakar, Sunday Alewo Omale

“…This study investigated the relationship between board structure and the profitability of Listed Consumer Goods Firms in Nigeria. …”
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Comparison of methods for vehicle emissions calculation and their sensitivity to fleet structuring by O. V. Maksimova, V. A. Ginzburg, V. M. Lytov

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ClusterEmbed: Efficient Protein Structure Prediction with Clustering and Embeddings by Mu Bowei

“…To address this, we introduce ClusterEmbed, a novel, lightweight method for generating training data for protein structure prediction. ClusterEmbed combines rapid clustering-based MSA generation using MMSeqs2 with small-scale sequence sets and embedding extraction via pretrained protein language models, bypassing the need for extensive MSA datasets like those in OpenProteinSet. …”
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The effect of immune selection on the structure of the meningococcal opa protein repertoire. by Martin J Callaghan, Caroline O Buckee, Keith A Jolley, Paula Kriz, Martin C J Maiden, Sunetra Gupta

“…We analysed the Opa repertoire structure in a large, well-characterised collection of asymptomatically carried meningococci. …”
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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…However, like all mass spectrometers, non-uniform (heteroscedastic) noise introduces bias in multivariate analysis complicating data interpretation. Here, we study the noise structure of an Orbitrap mass analyser integrated into a secondary ion mass spectrometer (OrbiSIMS). …”
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Structure and mineralization potential of the southwestern part of Sokoto Basin in Nigeria by U. Z. Magawata, U. Z. Magawata, N. K. Olasunkanmi, G. B. Egbeyale, A. Saleh

“…This study investigates the lithological boundaries, structural features, and mineralization potential in the southwestern part of the Sokoto Basin, Nigeria, using an integrated approach involving high-resolution aeromagnetic, radiometric, and Landsat 8 multispectral data. …”
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Plant cyanogenic glycosides: from structure to properties and potential applications by Beáta Piršelová, Jana Jakubčinová

“…In recent years, advanced analytical tools have greatly expanded our knowledge of CGs by enabling the identification of less abundant forms. Based on the latest data from published scientific studies, this review presents a comprehensive overview of CGs, with a focus on their structural variability, biosynthetic pathways, ecological functions, and inherent toxicity. …”
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Climate, predation, and the controls of island lizard abundance and community structure by Edita Folfas, D. Luke Mahler, Luke O. Frishkoff

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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…Neuromorphic engineering aims to advance computing by mimicking the brain’s efficient processing, where data is encoded as asynchronous temporal events. …”
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Brain Structure Segmentation from MRI by Geometric Surface Flow by Greg Heckenberg, Yongjian Xi, Ye Duan, Jing Hua

“…We present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. …”
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