A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting.

Automated generation of geometric models from point cloud data holds significant importance in the field of computer vision and has expansive applications, such as shape modeling and object recognition. However, prevalent methods exhibit accuracy issues. In this study, we introduce a novel hierarchical neural network that utilizes recursive PointConv operations on nested subdivisions of point sets.

Single-Atom Co-N Sites Mediate C=N Formation via Reductive Coupling of Nitroarenes with Alcohols.

It remains challenging to construct C=N bonds due to their facile hydrogenation. Herein, a single Co atom catalyst was discovered to be active for the selective construction of C=N bonds toward the synthesis of imines and heterocycles via reductive coupling of nitroarenes with various alcohols, including inert aliphatic ones. DFT calculations and experimental data revealed that the transfer hydrogenation proceeded via the intramolecular hydride transfer and the transfer of H from the α-C-H bond to the nitro group was the rate-determining step.

Characterization of the novel bequatrovirus vB-BcgM and its antibacterial effects in a food matrix.

Bacteria belonging to the Bacillus cereus group are ubiquitous in nature, causing food spoilage and food poisoning cases. A bequatrovirus, vB-BcgM, belonging to the C3 cluster infecting B. cereus group members, was isolated and characterized.

Sex steroid hormone residues in milk and their potential risks for breast and prostate cancer.

Milk was a source of important nutrients for humans and was especially important for children and adolescents. The modern dairy animal production pattern had contributed to residual sex steroid hormones in milk. When this milk was consumed by humans, these hormones entered the body leading to hormonal disruptions and potentially increasing the risk of various types of cancers.

Manganese Carbodiimide (MnNCN): A New Heterogeneous Mn Catalyst for the Selective Synthesis of Nitriles from Alcohols.

Earth-abundant manganese oxides (MnO) were competitive candidates when screening catalysts for ammoxidation of alcohols into nitriles due to their redox property. However, over-oxidation and possible acid-catalyzed hydrolysis of nitriles into amides still limited the application of MnO in nitrile synthesis. In this work, manganese carbodiimide (MnNCN) was first reported to be robust for the ammoxidation of alcohols into nitriles, avoiding over-oxidation and the hydrolysis.

Penicipyrrolizidinones A-C, three pyrrolizidinone alkaloids with unprecedented skeletons from the mangrove-derived fungus Penicillium sp. DM27.

Three previously undescribed pyrrolizidinone alkaloids, penicipyrrolizidinones A and B (1 and 2), possessing an unprecedented 2-methyl-2-(oct-6-enoyl)pyrrolizidin-3-one skeleton, and penicipyrrolizidinone C (3), featuring a rare 1-alkenyl-2-methyl-pyrrolizidin-3,7-dione skeleton, together with four known pyrrolidine derivatives (4-7) were isolated from the mangrove-derived fungus Penicillium sp. DM27. Their structures were elucidated through comprehensive spectroscopic analysis, theoretical calculations of ECD spectra, and the modified Mosher's method.

Resistance-based directed evolution of nanobodies for higher affinity in prokaryotes.

A prokaryotic resistance-based directed evolution system leveraging protein-fragment complementation assay (PCA) was devised, and its proficiency in detecting protein-protein interactions and discriminating varying degrees of binding affinity was demonstrated by two well-characterized protein pairs. Furthermore, we constructed a random mutant library based on the GBP mutant, characterized by almost no affinity towards EGFP. This library was subjected to PCA-based prokaryotic directed evolution, resulting in the isolation of back-mutated variants.

Penidaleodiolides A and B, Cage-Like Polyketides with Neurotransmission-Regulating Activity from the Soil Fungus L3SO.

L3SO is a fungus isolated from the rhizospheric soil of the chloroplast-deficient plant . A chemical study on the rice fermentation of this fungus led to the isolation and identification of two cage-like polyketides, penidaleodiolide A () and its biosynthetic-related congener penidaleodiolide B (). The structures of and were determined by a combination of extensive spectroscopic analysis, biosynthetic consideration, chemical derivatization, and computational methods.

Photocatalytic production of a C liquid biofuel precursor and H by Ni(OH)-ZnInS in anaerobic water.

Herein, we presented a bifunctional photocatalytic system for 5-hydroxymethylfurfural (HMF) valorization over Ni(OH)-modified ZnInS. Instead of forming 2,5-diformylfuran C products from conventional HMF aerobic oxidation, C-C coupling C products and H were produced in anaerobic water, which can be an important liquid fuel intermediate and gaseous energy carrier, respectively. This work could spark more insight for biomass utilization.

Integration of multi-level semantics in PTMs with an attention model for question matching.

The task of question matching/retrieval focuses on determining whether two questions are semantically equivalent. It has garnered significant attention in the field of natural language processing (NLP) due to its commercial value. While neural network models have made great strides and achieved human-level accuracy, they still face challenges when handling complex scenarios.

Rapid detection of murine-derived ingredients in meat products using real-time enzymatic recombinase amplification.

Background: Accurate identification of meat species is critical to prevent economic fraud and safeguard public health. The use of inappropriate meat sources, such as murine, poses significant health risks because of potential contamination with pathogens and allergens, leading to foodborne illnesses. The present study aimed to develop a novel real-time enzymatic recombinase amplification (ERA) method for the rapid and specific detection of murine DNA in meat products.

Prediction of Femtosecond Laser Etching Parameters Based on a Backpropagation Neural Network with Grey Wolf Optimization Algorithm.

Investigating the optimal laser processing parameters for industrial purposes can be time-consuming. Moreover, an exact analytic model for this purpose has not yet been developed due to the complex mechanisms of laser processing. The main goal of this study was the development of a backpropagation neural network (BPNN) with a grey wolf optimization (GWO) algorithm for the quick and accurate prediction of multi-input laser etching parameters (energy, scanning velocity, and number of exposures) and multioutput surface characteristics (depth and width), as well as to assist engineers by reducing the time and energy require for the optimization process.

Novel pillar[n]arenes magnetic nanoparticles: Preparation and application in quantitative analysis of trace perfluorinated compounds from aqueous samples.

Background: Perfluorinated compounds (PFCs) are a class of widely manufactured and used emerging persistent pollutants. The recent discovered new class of macrocycles pillararenes have garnered significant attention for the applications in environmental pollutant adsorption, with abundant π electron cavities, a symmetrical rigid structure, and host-guest recognition capabilities.

Results: In this work, we designed and synthesized novel cationic pillar [n]arenes magnetic nanoparticles (CWPA5@MNPs), and investigated its adsorption performance and mechanism as a type of new adsorbent for the enrichment of PFCs.

Exploration of the adsorption and desorption performance of volatile organic compounds by activated carbon with different shapes based on fixed-bed experiments.

Activated carbon (AC) has been widely used in volatile organic compounds (VOCs) treatment of industrial exhaust gases. Rather than modifying specific pore size distributions and surface properties, altering the shape of AC offers a more feasible approach to enhance its adsorption performance. This study investigates the adsorption-desorption performance of two different shaped ACs with highly similar properties for the removal of VOCs.

Oral delivery of sodium alginate/chitosan bilayer microgels loaded with Lactobacillus rhamnosus GG for targeted therapy of ulcerative colitis.

Probiotics regulate intestinal flora balance and enhance the intestinal barrier, which is useful in preventing and treating colitis. However, they have strict storage requirements. In addition, they degrade in a strongly acidic environment, resulting in a significant decrease in their activity when used as microbial agents.

The Chrysosplenium sinicum genome provides insights into adaptive evolution of shade plants.

Chrysosplenium sinicum, a traditional Tibetan medicinal plant, can successfully thrive in low-light environments for long periods of time. To investigate the adaptive evolution of shade plants in low-light environments, we generated a chromosome-scale genome assembly (~320 Mb) for C. sinicum by combining PacBio sequencing and Hi-C technologies.

Synthesis and antiproliferative evaluation of new hybrids of piperine and acylhydrazone.

Piperine, a natural amide isolated from the genus of , serves as a pharmacophore in medicinal chemistry. In this study, we synthesised and evaluated 18 novel piperine-acylhydrazone hybrids (-) for their antiproliferative activities . The structures of these hybrids were validated using H,C NMR, and HR-ESI-MS data.

Novel fungal diphenyl ether biosynthetic gene clusters encode a promiscuous oxidase for elevated antibacterial activities.

Diphenyl ethers (DPEs) are produced by filamentous fungi using polyketide synthases (PKSs) directly, or Cu oxidase-catalyzed oxidative rearrangements of benzophenone intermediates. Here, we use heterologous expression to reveal a third route towards DPEs in that relies on an oxidative multienzyme cascade to convert a PKS-generated, ester-linked didepside to depsidones and further to DPEs, and apply comparative genomics to identify conserved biosynthetic gene clusters for this pathway in multiple fungi. The distribution of DPE products is modulated by the expression chassis upon pathway reconstitution.