Structural Health Monitoring under Nonlinear Environmental or Operational Influences by Jyrki Kullaa

“…Vibration-based structural health monitoring is based on detecting changes in the dynamic characteristics of the structure. …”
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Interoperability Structure of Smart Water Conservancy Based on Internet of Things by SongSong Wang, Ouguan Xu

“…Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. …”
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FARM SIZE AND SPECIALIZATION STRUCTURE IN THE EUROPEAN COUNTRIES IN THE YEAR 2020 by Cosmina SMEDESCU, Marius Mihai MICU, Valentina Constanța TUDOR

“…The purpose of this article is to analyze the evolution of the areas cultivated in the conventional system, comparing the data at European and at the national level. With a solid foundation in analyzing data obtained from various agricultural organizations, this study aims to elucidate current trends and provide an in-depth understanding of how conventional agriculture is changing. …”
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Imperative Sentences In Surah Luqman: A Study Of Structure And Meaning by Vina Ulfa Mahfudhoh, Moch. Syarif Hidayatullah, Cahya Buana

“…While the data analysis method in this research uses content analysis method with semantic approach to dissect the structure and meaning. …”
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Household structure in Ghana: Exploring dynamics over three decades by Josephine Akua Ackah Baafi, Rebecca Sear, Estelle McLean, Kofi Awusabo-Asare, Anushé Hassan, Fabian Sebastian Achana, Sarah Walters

“…METHODS: We employ two methods of classification – manual and data-driven (latent class analysis) – to create household structures using Ghana’s censuses (1984–2021) and Demographic and Health Surveys (1993–2022). …”
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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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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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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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