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Carboxylic acids and aromatic compounds are essential building blocks and starting materials for the production of a wide range of fine chemicals and materials. Their recovery from kraft black liquor, an industrial effluent from pulp and paper mills, is a promising way to produce alternative bio-based chemicals. Reliable methods are needed to identify and quantify the molecules of interest in complex mixtures such as black liquors.

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Background: Traditional teaching dictated that patients with recurrent thyroid cysts undergo excision owing to a 12% risk malignancy. Ultrasound evaluation now determines management of these patients augmented by fine needle biopsy. In UK, a non-diagnostic category for thyroid cysts (Thy1c) exists, whereas the Bethesda system combines 'non-diagnostic-cyst fluid only' into Category I along with paucicellular and acellular results.

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Spin State Modulation with Oxygen Vacancy Orientates C/N Intermediates for Urea Electrosynthesis of Ultrahigh Efficiency.

Adv Mater

January 2025

State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide & Agricultural Bioengineering, Ministry of Education, State-Local Joint Laboratory for Comprehensive Utilization of Biomass, Center for R&D of Fine Chemicals, Guizhou University, Guiyang, 550025, China.

The co-electrolysis of CO and NO to synthesize urea has become an effective pathway to alternate the conventional Bosch-Meiser process, while the complexity of C-/N-containing intermediates for C-N coupling results in the urea electrosynthesis of unsatisfactory efficiency. In this work, an electronic spin state modulation maneuver with oxygen vacancies (Ov) is unveiled to effectively meliorate the oriented generation of key intermediates NH and CO for C-N coupling, furnishing urea in ultrahigh yield of 2175.47 µg mg h and Faraday efficiency of 70.

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Reliable and robust robotic handling of microplates via computer vision and touch feedback.

Front Robot AI

January 2025

CREATE Lab, Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Laboratory automation requires reliable and precise handling of microplates, but existing robotic systems often struggle to achieve this, particularly when navigating around the dynamic and variable nature of laboratory environments. This work introduces a novel method integrating simultaneous localization and mapping (SLAM), computer vision, and tactile feedback for the precise and autonomous placement of microplates. Implemented on a bi-manual mobile robot, the method achieves fine-positioning accuracies of 1.

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Single-cell RNA-seq data augmentation using generative Fourier transformer.

Commun Biol

January 2025

Precision Medicine and Computational Biology, Sanofi, Cambridge, MA, 02141, USA.

Single-cell RNA sequencing (scRNA-seq) provides a powerful tool for dissecting cellular complexity and heterogeneity. However, its full potential to achieve statistically reliable conclusions is often constrained by the limited number of cells profiled, particularly in studies of rare diseases, specialized tissues, and uncommon cell types. Deep learning-based generative models (GMs) designed to address data scarcity often face similar limitations due to their reliance on pre-training or fine-tuning, inadvertently perpetuating a cycle of data inadequacy.

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