Survey data on strategic alignment in multispecialty hospitals: Implementing a balanced scorecard approach for optimal performanceMendeley Data by Shefali Mohan, Rohit Kushwaha, M. Venkatesan, Ramya Singh, Manish Mishra

“…The data collection process involved Interviews and administering structured questionnaires to participants, capturing their perceptions and experiences related to strategic alignment, BSC implementation, and performance outcomes.The dataset comprises responses from a diverse group of healthcare professionals, including doctors, nurses, administrators, and support staff. …”
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The financial and market impact of big data analytics and big data talent analytics capability: a knowledge management perspective by Fouzia Atlas, Yuan Yitong, Kashif Ullah Khan

“…Structural Equation Modeling (SEM) was employed using AMOS and SPSS for data analysis. …”
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Development and testing of data infrastructure in the American College of Emergency Physicians’ Clinical Emergency Data Registry for opioid‐related research by Andrew Taylor, Jeremiah Kinsman, Kathryn Hawk, Gail D'Onofrio, Caitlin Malicki, Bill Malcom, Pawan Goyal, Arjun K. Venkatesh

“…Future work should focus on implementing structured data collection tools, such as standardized documentation templates and adhering to data standards within the EHR that would better characterize ED‐specific care for opioid use disorder and related research.…”
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Data Journalism in Turkey: Developing a Scale and Measuring Journalists’ Skills by Seçil Özay, Serkan Bayrakcı

“…As a result of the item pool, expert views, and the scale application stages, it is understood that data journalism skills can be measured with a 2-factor structure: “data skills and tools” and “journalism skills.” …”
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Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning by Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

“…Lexical and semantic matching methods are used to align the structure of the heterogeneous, curated cohort data along with incremental learning algorithms including class imbalance handling and hyperparameter optimization to enable the development of disease prediction models. …”
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STRUCTURE OF SUNDA IN TANGERANG REGENCY AND THE TERRITORY OF USE by Agus Sulaeman

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Exploring Structural Characteristics of Lattices in Real World by Yu Chen, Jinguo You, Benyuan Zou, Guoyu Gan, Ting Zhang, Lianyin Jia

“…To the best of our knowledge, no work has paid enough attention to this challenging issue from the perspective of graph data, in spite of the importance of structures in lattice data. …”
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Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

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Coding structure of highway engineering information model by LIANG Cai, WANG Changhai

“…Model identification code is the key to the data integration and effective transmission of highway engineering information model from the early stage of design to project construction and operation management, so as to form structured data for integrated management and analysis. …”
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Frontiers in integrative structural modeling of macromolecular assemblies by Kartik Majila, Shreyas Arvindekar, Muskaan Jindal, Shruthi Viswanath

“…Integrative modeling enables structure determination for large macromolecular assemblies by combining data from multiple experiments with theoretical and computational predictions. …”
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STRUCTURE OF RHYTHMIC GYMNASTICS TRAININGS CENTER IN BRAZIL by Kizzy Fernandes Antualpa, Roberto Rodrigues Paes

“…Finally, data discussion was done, showing similarities and differences between the training centers assessed, always approaching the discussion of the physical structure of these places, and aiming, at the end of the discussion, to focus on the usefulness of these centers for the growth and development of the sport. …”
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Rapid structural analysis of bacterial ribosomes in situ by Barrett M. Powell, Tyler S. Brant, Joseph H. Davis, Shyamal Mosalaganti

“…Abstract Rapid structural analysis of purified proteins and their complexes has become increasingly common thanks to key methodological advances in cryo-electron microscopy (cryo-EM) and associated data processing software packages. …”
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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

“…The implementation of this algorithm allows to define the structure of the optimal subset as a union of certain elements of a Pareto layers group into which a initial data set is divided. …”
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Anatomical characteristics and structural features of the optic nerve by T. N. Kiseleva, A. V. Baeva, E. K. Eliseeva, K. V. Lugovkina

“…The review presents literature data about the anatomical structure, morphology and structural features of the optic nerve (ON). …”
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The use of vibration characteristic to update the structure model by Pham Xuan Khang

“… Many authors studied algorithms adjusting the structure model based on modal data. This paper proposes an algorithm to detect the structure model using correlation factors between experimental and theoretical modal data in a damage library. …”
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STRUCTURAL ANALYSIS OF CYCLOSPORIN-A BY RAMAN TECHNIQUE

“…The conformation of the molecule has been discussed on the basis of Raman data. It has been concluded that in agreement with X-ray data, cyclosporin-A molecule has an antiparallel P- pleated sheet conformation. …”
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Spanish word generation dataset from structured consonant prompts by Jon Andoni Duñabeitia

“…Participant-level data summarize age, gender, and aggregate lexical metrics per individual. …”
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Structure-based rational design of covalent probes by Matthew Holcomb, Manuel Llanos, Althea Hansel-Harris, Stefano Forli

“…In this review, we discuss the role of structure-based design in the discovery and optimization of covalent probes, with a special emphasis on computational methods to leverage structural data.…”
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NUMERICAL DISCRETISATION OF BUILT STRUCTURES ASSUMPTION AND REALITY by Marc Gutermann, Carsten Schröder

“…However, dealing with real problems, an appropriate numerical discretization of built structures is in many cases a difficult task, since fundamental input data concerning the actual properties of the structure, material and the mechanical boundary condition couldn’t always be met. …”
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