Editable Neural Radiance Fields Convert 2D to 3D Furniture Texture

Our work presents a neural network designed to convert textual descriptions into 3D models. By leveraging the encoder-decoder architecture, we effectively combine text information with attributes such as shape, color, and position. This combined information is then input into a generator to predict new furniture objects, which are enriched with detailed information like color and shape.[1] The predicted furniture objects are subsequently processed by an encoder to extract feature information, which is then utilized in the loss function to propagate errors and update model weights. After training the network, we can generate new 3D objects solely based on textual input, showcasing the potential of our approach in generating customizable 3D models from descriptive text.[2

Substituent Effects on the Ultraviolet Absorption Properties of 2,4-Dihydroxy Dibenzophenone

Substituent effects on the ultraviolet absorption properties of 2,4-dihydroxy dibenzophenone were investigated experimentally. Nine compounds of 2,4-dihydroxy dibenzophenone with different substituents were prepared by a solvent-free reaction of benzoyl chloride. The maximum absorption wavelength (λmax) of these samples was measured, and their UV resistance properties in cotton fabric as well as in polyester were determined. The results show that the λmax is dependent on the substituents at the benzylidene ring, and both electron donating substituents and electron withdrawing substituents cause a bathochromic shift. The UV resistance of fabric increases with the increase in compound concentration. The dyeing rate of each compound on polyester was higher than that of cotton. On cotton fabric, the dyeing rate of 2,4-dihydroxybenzophenone was the highest, 77.8%. On polyester, that of 2,4-dihydroxy-4′-ethyl dibenzophenone was the highest, 84.1%. The study provides new insights into the effect of substituents on the properties of 2,4-dihydroxy dibenzophenone that are related to the whitening of cotton and polyester materials

Automatic and Precise Localization and Cortical Labeling of Subdural and Depth Intracranial Electrodes

Object: Subdural or deep intracerebral electrodes are essential in order to precisely localize epileptic zone in patients with medically intractable epilepsy. Precise localization of the implanted electrodes is critical to clinical diagnosing and treatment as well as for scientific studies. In this study, we sought to automatically and precisely extract intracranial electrodes using pre-operative MRI and post-operative CT images.</p

Scanning optical microscopy for porosity quantification of additively manufactured components

Electron beam melting (EBM) is a representative powder-bed fusion additive manufacturing technology, which is suitable for producing near-net-shape metallic components with complex geometries and near-full densities. However, various types of pores are usually present in the additively manufactured components. These pores may affect mechanical properties, particularly the fatigue properties. Therefore, inspection of size, quantity and distribution of pores is critical for the process control and assessment of additively manufactured components. Here, we propose a method to quantify the pore size distribution and porosity of additively manufactured components by utilizing scanning optical microscopy. The advantages and limitations of the developed method are discussed based on the comparison study between Archimedes method, conventional optical microscopy and x-ray computed tomography. It is revealed that the new method exhibits the advantages of high precision (∼ 1.75 μm), more information, high repeatability and low time consumption (20 min/per sample). This provides a new metrology for measurement of not only pores but also micro-cracks, which are the common defects in additively manufactured components.ASTAR (Agency for Sci., Tech. and Research, S’pore

Green synthesis of nanobelt-membrane hybrid structured vanadium oxide with high electrochromic contrast

Vanadium oxide with a nanobelt-membrane hybrid structure is synthesized under the structural directing effect from tannic acid, a green extract from plants. The electrochromic property of the resultant film was investigated and revealed a high contrast of 62% at the wavelength of 700 nm. Furthermore, with linear polyethylenimine (LPEI) surface treatment on ITO glass, the stability of the drop-casted film is greatly enhanced with only 18.6% reduction in transmission after 100 cycles.Published Versio

Foliar Exposure of Cu(OH)₂ Nanopesticide to Basil (<i>Ocimum basilicum</i>): Variety-Dependent Copper Translocation and Biochemical Responses

In this study, low and high anthocyanin basil (<i>Ocimum basilicum</i>) varieties (LAV and HAV) were sprayed with 4.8 mg Cu/per pot from Cu­(OH)₂ nanowires, Cu­(OH)₂ bulk (CuPro), or CuSO₄ and cultivated for 45 days. In both varieties, significantly higher Cu was determined in leaves of CuSO₄ exposed plants (691 and 672.6 mg/kg for LAV and HAV, respectively); however, only in roots of HAV, Cu was higher, compared to control (<i>p</i> ≤ 0.05). Nanowires increased <i>n</i>-decanoic, dodecanoic, octanoic, and nonanoic acids in LAV, but reduced <i>n</i>-decanoic, dodecanoic, octanoic, and tetradecanoic acids in HAV, compared with control. In HAV, all compounds reduced eugenol (87%), 2-methylundecanal (71%), and anthocyanin (3%) (<i>p</i> ≤ 0.05). In addition, in all plant tissues, of both varieties, nanowires and CuSO₄ reduced Mn, while CuPro increased chlorophyll contents, compared with controls (<i>p</i> ≤ 0.05). Results suggest that the effects of Cu­(OH)₂ pesticides are variety- and compound-dependent