4-Chloro-2-phenyl-2H-chromene-3-carbaldehyde by B. Punithavalli, A. Therasa Alphonsa

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2-{(E)-[(2-Hydroxy-1-phenylethyl)imino]methyl}-4-[(E)-(4-methylphenyl)diazenyl]phenol by Mohammad H. Ati, Basil A. Saleh, Adnan J. M. Al-Fartosy, Gamal A. El-Hiti, Benson M. Kariuki

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Prediction of secreted uncharacterized protein structures from Beauveria bassiana ARSEF 2860 unravels novel toxins-like families by Peter F. Farag, Aya A. Elsisi, Esraa W. Elabd, Jana J. Sadek, Nada H. Mousa, Rawan M. Zaky, Sara M. Ahmed

“…We implemented the integration of well-designed bioinformatic tools to characterize and anticipate their homologous similarities at the sequence (InterPro) and structural (AlphaFold2) levels. The structural function annotation of these proteins was predicted using DeepFRI. …”
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Designing a Model of Intangible Causes of Bankruptcy by TISM by Marzieh Mazaheri, leyla Safdarian, Mahnam Molaei

“…This study aims to design a model of intangible causes of bankruptcy of capital market companies based on modeling a Total Interpretive Structural Modelling. This research is methodologically based on the result, developmental, and data type is a mixed method. …”
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Bayesian networks for causal analysis in socioecological systems by Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón

“…Specifically, we present a case study using non-experimental data from southern Spain. For this, we propose the use of structural causal models, which are kind probabilistic models for causal analysis that simplify this kind of reasoning due to their graphical representation. …”
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Examining pathways between structural stigma and tobacco use: a comparison among young adults living in the United States by sexual orientation and gender identity by Wilson Figueroa, Srinivasan Sridhar, Emma Jankowski, Alysha Ennis, Anne Trinh, Eric Seiber, Joanne G. Patterson

“…Methods Structural Equation Modeling was used to conduct a secondary data analysis from a cross-sectional parent study. …”
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Structural barriers and facilitators to accessing postsurgical rehabilitation in adults who were treated with surgery for low back pain: protocol for a scoping review by Jessica J. Wong, Jen Rinaldi, Paulo Pereira, Silvano Mior, Lauren Ead, Alanna Veitch, Kent Murnaghan, Pierre Côté

“…However, many encounter barriers to accessing rehabilitation due to structurally generated inequities linked to socioeconomic position. …”
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Dynamics of tertiary lymphoid structures and immune cross talk in early versus advanced colorectal cancer: potential implications for immunotherapy by Zixu Chen, Bang Hu, Keyu Cai, Han Gao, Zhenyu Xian, Shuang Zhang, Zhen Fang, Qian Zhou, Donglin Ren, Qi Zou

“…Methods We comprehensively analyzed single-cell RNA sequencing data, bulk RNA transcription data and pathological tissue data to investigate the dynamic changes in the TME. …”
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From Tutte to Floater and Gotsman: On the Resolution of Planar Straight-line Drawings and Morphs by Giuseppe Di Battista, Fabrizio Frati

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A parallel kinship universe? A replication of Kolk et al. (2023) with Dutch register data on kinship networks by Vera de Bel, Eszter Bokányi, Karsten Hank, Thomas Leopold

Subjects: “…administrative data…”
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Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

“…Semi-structured decisions, which fall between highly structured and unstructured decision types, rely on human intuition and experience for the final choice, while using data and analytical models to generate tentative solutions. …”
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Constitutive Theories for Woven Composite Structures Subjected to Shock Loading; Experimental Validation Using a Conical Shock Tube by David R. Hufner

“…Correlation to transient response data, beyond an initial peak, is often difficult. …”
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Legend Categories and Structure in Nagari Sungai Limau Dharmasraya District and Its Implications for Indonesian Language Learning by Ahmad Fauzi, Nurizzati Nurizzati

“…Data analysis techniques are carried out by classifying or grouping data, analyzing categories and legend structures, drawing conclusions from the entire research work process, and compiling and reporting research results. …”
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Empowerment in structures. Practical-ethical considerations of the preconditions for technology-assisted dementia care in Germany based on an expert-interview study by Johannes Welsch, Silke Schicktanz

“…Therefore, the aim of this study was to explore these preconditions in the German context and so to contribute to more empowerment-sensitive structures.MethodsSemi-structured interviews were conducted with 20 German-speaking experts from health care, health policy and the fields contributing to IAT (e.g., computer science, engineering). …”
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

“…To validate the proposed method, nearly seven years of sensor data collected from a critical section of a dam structure were used. …”
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A Study of Practical Proxy Reencryption with a Keyword Search Scheme considering Cloud Storage Structure by Sun-Ho Lee, Im-Yeong Lee

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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…StructureNet improves existing DL methods by focusing entirely on structural descriptors to mitigate data memorization issues introduced by sequence and interaction data. …”
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Exploring the Emerging Evolution Trends of Probabilistic Service Life Prediction of Reinforced Concrete Structures in the Chloride Environment by Scientometric Analysis by Junzhi Zhang, Meng Wang, Xiaoyun Zhou, Weilong Yu, Yanhong Gao, Yurong Zhang

“…To reveal the global picture and emerging evolution trends with sufficiently large literature data of RC structure’s service life prediction, especially the time to corrosion initiation, the scientometric analysis on the corresponding evolution trends was performed by using visualization software CiteSpace and VOSviewer in this paper. …”
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Intelligent decision support system for iterative analysis of dysfunctions of the institutional system of human capital development based on neural structures by Zhukov Aleksandr, Pronichkin Sergey, Mihaylov Yuri, Kartsan Igor

“…Intelligent analysis of dysfunctions of the institutional system of human capital development is an iterative process of extracting useful information and decision-making templates from organized or unorganized arrays of big data of different formats. However, existing algorithms and approaches to intelligent analysis of human capital development data cannot be applied to solving problems of effective implementation of innovation programs, since they have a specific goal aimed at creating the results of intellectual activity. …”
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Updated number forecast, russian car fleet structures by type of power plants and greenhouse gas emissions until 2050 by IU. V. Trofimenko, V. I. Komkov

“…The results of forecast estimation of the number, structure of the Russian motor vehicle fleet by type of power units and greenhouse gas (GHG) emissions up to 2050 are presented, taking into account the update of the initial data used in the calculations and the assumption that it will be decided to stop production of passenger cars with internal combustion engines starting from 2045. …”
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