Perancangan Data Warehouse Rumah Sakit Berbasis Online Analytical Processing (OLAP) [PDF]
Joko Purwanto, Renny Renny
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Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
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A review and research agenda for recent socially and environmentally sustainable practices for warehouse management systems [PDF]
Daria Minashkina
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Optimization of Warehouse Management in the Specific Assembly and Distribution Company: a Case Study [PDF]
Ondřej Stopka, Vladimír Ľupták
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Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
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Credit Access through Warehouse Receipt System and Farm Productivity of Smallholder Coffee Farmers in Mbinga District, Tanzania [PDF]
Matei E. Mapunda +2 more
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An Assessement of the Air Quality in Apple Warehouses : New Record of Aspergillus Europaeus, Aspergillus Pulverulentus, Penicillium Allii and Penicllium Sumatraense as Decay Agents [PDF]
Marwa Smiri +5 more
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This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
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Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
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Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
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