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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The community of marine alveolate parasites in the Atlantic inflow to the Arctic Ocean is structured by season, depth, and water mass by Elianne Egge, Daniel Vaulot, Aud Larsen, Bente Edvardsen

“…The community was structured by season, depth, and water mass. In the epipelagic zone, the taxonomic composition varied strongly by season; however, there was also a difference between Arctic and Atlantic water masses in winter. …”
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3D complex: a structural classification of protein complexes. by Emmanuel D Levy, Jose B Pereira-Leal, Cyrus Chothia, Sarah A Teichmann

“…Finally, through comparison of Biological Units in the Protein Data Bank with the Protein Quaternary Structure database, we identified many possible errors in quaternary structure assignments. …”
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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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FEATURES OF THE STRUCTURE AND FORMATION OF THE KAMCHATKA CANYON (THE PACIFIC MARGIN OF KAMCHATKA) by V. L. Lomtev

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Hemomicrocirculation and immune structural components changesin Chernobyl accident liquidators by F. F. Tetenev, Ya. V. Porovsky, T. N. Bodrova, A. I. Ryzhov, T. P. Vetlugina

“…The aim of the study was to investigate correlation of immunity structural components (morphologic-functional changes in derma and systemic immune reactionof the organisms of Chernobyl accident liquidators. …”
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A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks by Mattia Piccinini, Matteo Zumerle, Johannes Betz, Gastone Pietro Rosati Papini

“…This paper introduces a novel road friction-aware ABS, leveraging model-structured neural networks (MS-NNs) to learn the vehicle longitudinal dynamics in different road conditions. …”
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Improving learning and confidence through small group, structured otoscopy teaching: a prospective interventional study by Peng You, Saad Chahine, Murad Husein

“…In this study, we aimed to examine the effect of a small-group, structured teaching session on medical students’ confidence with and learning of otoscopic examination. …”
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University-based physical education as a structured temporal and spatial opportunity for shaping health-oriented lifestyles by Lu Zhang, Tao Zhong, Kui Dong

“…Logistic regression analyses confirmed that PE attendance was a protective factor against these unhealthy behaviors, with significant gender-based differences observed in lifestyle patterns.ConclusionThis study highlights the importance of PE in promoting healthier lifestyles among university students and underscores the need for continued access to structured PE programs throughout the undergraduate years.…”
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Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification by Tao Liu, Jiahao Liu, Dong Li, Shan Tan

“…Abstract The objective of optical super-resolution imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination microscopy (SIM) is acknowledged as the optimal modality for live-cell super-resolution imaging. …”
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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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Developing organization structure of retail enterprises (on the example of the Czech Republic) by Aleksandr L. Bobkov, Igor V. Denisov, Oksana V. Kuchmaeva

“…The authors’ hypothesis is that these two types of structures – consequent and parallel – replace each other dialectically, and change qualitatively in the process of enterprises growth, but, at the same time, they maintain their constitutive properties at each level of organizations development.The retail sector was chosen as the object of analysis, since the generalized organizational structure in it is characterized by separate sales outlets, which makes it possible to conduct statistical processing of data. …”
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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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