Quantaloidal Completions of Order-enriched Categories and Their Applications

By introducing the concept of quantaloidal completions for an order-enriched category, relationships between the category of quantaloids and the category of order-enriched categories are studied. It is proved that quantaloidal completions for an order-enriched category can be fully characterized as compatible quotients of the power-set completion. As applications, we show that a special type of injective hull of an order-enriched category is the MacNeille completion; the free quantaloid over an order-enriched category is the Down-set completion

METABOLITES ACTIVITY OF ENDOPHYTIC STREPTOMYCES SP. IPBCC. B.15.1539 FROM TINOSPORA CRISPA L. MIERS: ALPHA-GLUCOSIDASE INHIBITOR AND ANTI-HYPERGLYCEMIC IN MICE

Objective: This research work aimed to assess the capability of endophytic Streptomyces sp. IPBCC. b.15.1539 isolated from Tinospora crispa inproducing α-glucosidase inhibitor compound and examined the effect of its ethyl acetate extract containing α glucosidase inhibitor in lowering blood glucose in streptozotozin mice.Methods: Streptomyces sp. IPBCC. b.15.1539 was grown in a bioreactor filled with International Streptomyces Project 2 medium, for 5, 10, 15, and20 days, and assayed for its in vitro α-glucosidase inhibitory activity. The ethyl acetate extract was examined for its IC50Results: The crude extract produced value. An in vivo experimentwas set up using thirty mice, which were divided into five treatment groups: (a) acarbose (0.03 mg/30 g body weight) used as a positive control, (b) placebo used as a negative control, (c-e) treatment groups were treated with ethyl acetate extract at 0.036 mg/30 g body weight (P1), 0.36 mg/30 gbody weight (P2), 0.036 mg/30 g body weight (P3).98.5% α-glucosidase inhibitory activity, with 15,6 biomass after 10 days of production. The ethyl acetateextract at a concentration of 1000 µg/ml produced 96.08% α-glucosidase inhibitory activity, while acarbose at the same concentration gave 97.46%inhibition. The IC50 for the ethyl acetate extractConclusions: The was 0.047 µg/ml, while for acarbose was 0.003 µg/ml. The ethyl acetate extract applied as the P1treatment group lowered blood glucose levels in streptozotozin mice by 26%. α-glucosidase inhibitor of Streptomyces sp. IPBCC. b.15.1539 of T. crispa has the potency as an antidiabetic agent for type 2 DMtherapy

Revisiting Sparse Retrieval for Few-shot Entity Linking

Entity linking aims to link ambiguous mentions to their corresponding entities in a knowledge base. One of the key challenges comes from insufficient labeled data for specific domains. Although dense retrievers have achieved excellent performance on several benchmarks, their performance decreases significantly when only a limited amount of in-domain labeled data is available. In such few-shot setting, we revisit the sparse retrieval method, and propose an ELECTRA-based keyword extractor to denoise the mention context and construct a better query expression. For training the extractor, we propose a distant supervision method to automatically generate training data based on overlapping tokens between mention contexts and entity descriptions. Experimental results on the ZESHEL dataset demonstrate that the proposed method outperforms state-of-the-art models by a significant margin across all test domains, showing the effectiveness of keyword-enhanced sparse retrieval.Comment: EMNLP 202

Lipase Activity of Endophytic Actinobacteria from Medicinal Plants

Endophytic bacteria are known to reside within host plant tissue without giving a harmfull effect. The endophytes may play an important role, as they may produce similar bioactive compounds as produced by the host plant. Various medicinal plants have long been used to cure diseases. Traditionally, leaves extract of Guazuma ulmifolia, Psidium guajava, or the rhizome of Curcuma xanthorrhiza can be used to treat disease, e.g. hyperlipidemic. The mechanism can be through lipase activity, where the lipase catalyzes the hydrolysis of triacylglycerol to fatty acids and acylglycerol. The objective of this research was to assess potency of endophytic bacteria as anti-hyperlipidemic compounds producer through their lipase activity. Sixty nine endophytic bacteria which comprised of 22, 27 and 20 isolates were isolated from the leaves of G. ulmifolia, P. guajava, and the rhizome of C. xanthorrhiza, respectively. Eight out of the 69 isolates showed lipase activity, and the two selected isolates, i.e. DPG 3(2) and AJB 4(4) were considered as good lipase producers. The highest specific lipase activity of DPG 3(2) isolate was observed for 0.874 units per mg at 38 h, whereas AJB 4(4) isolates had the specific lipase activity at 1.139 units per mg after 72 h observation. These data indicate that the two selected isolates have the potency as antihyperlipidemic compounds producer through their lipase activity

A Read-and-Select Framework for Zero-shot Entity Linking

Zero-shot entity linking (EL) aims at aligning entity mentions to unseen entities to challenge the generalization ability. Previous methods largely focus on the candidate retrieval stage and ignore the essential candidate ranking stage, which disambiguates among entities and makes the final linking prediction. In this paper, we propose a read-and-select (ReS) framework by modeling the main components of entity disambiguation, i.e., mention-entity matching and cross-entity comparison. First, for each candidate, the reading module leverages mention context to output mention-aware entity representations, enabling mention-entity matching. Then, in the selecting module, we frame the choice of candidates as a sequence labeling problem, and all candidate representations are fused together to enable cross-entity comparison. Our method achieves the state-of-the-art performance on the established zero-shot EL dataset ZESHEL with a 2.55% micro-average accuracy gain, with no need for laborious multi-phase pre-training used in most of the previous work, showing the effectiveness of both mention-entity and cross-entity interaction.Comment: EMNLP 2023 Finding

4-(4-Bromo­phen­yl)-5-oxo-1,2,3,4,5,6,7,8-octa­hydro­quinazoline-2-thione

The title compound, C14H13BrN2OS, was synthesized from the multicomponent reaction between thio­urea, 4-bromo­benzaldehyde and cyclo­hexane-1,3-dione. The crystal packing is stabilized by inter­molecular N—H⋯O, N—H⋯S, C—H⋯O and C—H⋯S hydrogen bonds. Br⋯O inter­actions [3.183 (3) Å] are also observed in the crystal structure

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

Logo embedding plays a crucial role in various e-commerce applications by facilitating image retrieval or recognition, such as intellectual property protection and product search. However, current methods treat logo embedding as a purely visual problem, which may limit their performance in real-world scenarios. A notable issue is that the textual knowledge embedded in logo images has not been adequately explored. Therefore, we propose a novel approach that leverages textual knowledge as an auxiliary to improve the robustness of logo embedding. The emerging Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in both visual and textual understanding and could become valuable visual assistants in understanding logo images. Inspired by this observation, our proposed method, FashionLOGO, aims to utilize MLLMs to enhance fashion logo embedding. We explore how MLLMs can improve logo embedding by prompting them to generate explicit textual knowledge through three types of prompts, including image OCR, brief captions, and detailed descriptions prompts, in a zero-shot setting. We adopt a cross-attention transformer to enable image embedding queries to learn supplementary knowledge from textual embeddings automatically. To reduce computational costs, we only use the image embedding model in the inference stage, similar to traditional inference pipelines. Our extensive experiments on three real-world datasets demonstrate that FashionLOGO learns generalized and robust logo embeddings, achieving state-of-the-art performance in all benchmark datasets. Furthermore, we conduct comprehensive ablation studies to demonstrate the performance improvements resulting from the introduction of MLLMs

Nickel Nitride Particles Supported on 2D Activated Graphene–Black Phosphorus Heterostructure: An Efficient Electrocatalyst for the Oxygen Evolution Reaction

Hydrogen is regarded as the most promising green clean energy in the 21st century. Developing the highly efficient and low‐cost electrocatalysts for oxygen evolution reaction (OER) is of great concern for the hydrogen industry. In the water electrolyzed reaction, the overpotential and the kinetics are the main hurdles for OER. Therefore, an efficient and durable oxygen evolution reaction electrocatalyst is required. In this study, an activated graphene (AG)–black phosphorus (BP) nanosheets hybrid is fabricated for supporting Ni3N particles (Ni3N/BP‐AG) in the application of OER. The Ni3N particles are combined with the BP‐AG heterostructure via facile mechanical ball milling under argon protection. The synthesized Ni3N/BP‐AG shows excellent catalytic performance toward the OER, demanding the overpotential of 233 mV for a current density of 10 mA cm−2 with a Tafel slope of 42 mV dec−1. The Ni3N/BP‐AG catalysts also show remarkable stability with a retention rate of the current density of about 86.4% after measuring for 10 000 s in potentiostatic mode.A black phosphorus (BP)–activated graphene (AG) heterostructure is designed for supporting nickel nitride (Ni3N) to enhance the performance of oxygen evolution reaction (OER). The Ni3N/BP‐AG exhibits excellent electrocatalytic performance toward OER with low overpotential and small Tafel slope. It also shows remarkable stability with a retention rate of ≈86.4% OER activity after 10 000 s.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152804/1/smll201901530.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152804/2/smll201901530_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152804/3/smll201901530-sup-0001-S1.pd

Kinematics of the Broad-line Region of 3C 273 from a Ten-year Reverberation Mapping Campaign

Despite many decades of study, the kinematics of the broad-line region of 3C~273 are still poorly understood. We report a new, high signal-to-noise, reverberation mapping campaign carried out from November 2008 to March 2018 that allows the determination of time lags between emission lines and the variable continuum with high precision. The time lag of variations in H$\beta$ relative to those of the 5100 Angstrom continuum is $146.8_{-12.1}^{+8.3}$ days in the rest frame, which agrees very well with the Paschen-$\alpha$ region measured by the GRAVITY at The Very Large Telescope Interferometer. The time lag of the H$\gamma$ emission line is found to be nearly the same as for H$\beta$. The lag of the Fe II emission is $322.0_{-57.9}^{+55.5}$ days, longer by a factor of $\sim$2 than that of the Balmer lines. The velocity-resolved lag measurements of the H$\beta$ line show a complex structure which can be possibly explained by a rotation-dominated disk with some inflowing radial velocity in the H$\beta$-emitting region. Taking the virial factor of $f_{\rm BLR} = 1.3$, we derive a BH mass of $M_{\bullet} = 4.1_{-0.4}^{+0.3} \times 10^8 M_{\odot}$ and an accretion rate of $9.3\,L_{\rm Edd}\,c^{-2}$ from the H$\beta$ line. The decomposition of its $HST$ images yields a host stellar mass of $M_* = 10^{11.3 \pm 0.7} M_\odot$, and a ratio of $M_{\bullet}/M_*\approx 2.0\times 10^{-3}$ in agreement with the Magorrian relation. In the near future, it is expected to compare the geometrically-thick BLR discovered by the GRAVITY in 3C 273 with its spatially-resolved torus in order to understand the potential connection between the BLR and the torus.Comment: 17 pages, 12 figures, 6 tables, accepted for publication in The Astrophysical Journa