沃度保兒謨ニ因セル濕疹

Evaluation of CNA-IC50 correlations by known cancer driver mutations. Distributions of PCCs for cancer cell lines with mutated or wild-type proto-oncogenes or tumor suppressors as depicted in each figure. The rank position of negatively correlated drugs (p < 0.10) is shown. (EPS 975 kb

Supplemental material for Connecting the city: A three-dimensional pedestrian network of Hong Kong

Supplemental Material for Connecting the city: A three-dimensional pedestrian network of Hong Kong by Guibo Sun, Chris Webster and Xiaohu Zhang in EPB: Urban Analytics and City Science</p

Robust Wide Visible-Light-Responsive Photoactivity for H₂ Production over a Polymer/Polymer Heterojunction Photocatalyst: The Significance of Sacrificial Reagent

A robust polymer/polymer surface heterojunction (SHJ) catalyst for wide visible-light-driven H₂ production is fabricated by a facile rotary evaporation of poly­(3-hexylthiophene) (P3HT) solution containing graphitic carbon nitride (g-C₃N₄). The photocatalytic H₂ production activity of the obtained SHJ catalyst (P3HT/g-C₃N₄) is significantly affected by the types of sacrificial reagents, and ascorbic acid (AA) shows the best photoactivity among the commonly used sacrificial reagents. The SHJ catalyst containing 3 wt % P3HT gives a H₂ evolution activity up to 3045 μmol/h in a saturated AA solution, which is ∼491 times higher than that (6.2 μmol/h) of P3HT/g-C₃N₄ without AA solution under λ ≥ 500 nm light irradiation. Especially, the SHJ catalyst containing 3 wt % P3HT shows a record apparent quantum yield (AQY) of 77.4% at 420 nm light irradiation in the field of g-C₃N₄-based catalyst, and wide visible/NIR-light-responsive ability with AQY of 59.4%, 20.2%, 3.2% and 0.68% at 500, 600, 700 and 800 nm monochromatic light irradiation, respectively. The extremely high photoactivity is caused by the wide visible-light absorption, efficient charge transfer at the interface of P3HT/g-C₃N₄ and suitable oxidation half-reaction caused by the added AA as a sacrificial reagent. This study not only demonstrates a new direction for the solar fuel conversion over the large family of polymer-based semiconductors but also emphasizes the importance of oxidation half-reaction caused by the sacrificial reagent, which can significantly affect the photoactivity for H₂ production

Development of Adenosine A_2A Receptor Antagonists for the Treatment of Parkinson’s Disease: A Recent Update and Challenge

Parkinson’s disease (PD) is a neurodegenerative disease with significant unmet medical needs. The current dopamine-centered treatments aim to restore motor functions of patients without slowing the disease progression. Long-term usage of these drugs is associated with diminished efficacy, motor fluctuation, and dyskinesia. Furthermore, the nonmotor features associated with PD such as sleep disorder, pain, and psychiatric symptoms are poorly addressed by the dopaminergic treatments. Adenosine receptor A2A antagonists have emerged as potential treatment for PD in the past decade. Here we summarize the recent work (2015–2018) on adenosine receptor A2A antagonists and discuss the challenge and opportunity for the treatment of PD

Valorization of asparagus-leaf by-product through nutritionally enriched chips to evaluate the effect of powder particle size on functional properties and rutin contents

This study first observed that the nutritional and phytochemical contents in asparagus leafy by-product were comparable or higher than those in edible portion. The extractable rutin in leaf was found to increase with a decrease in powder particle size (400–120 μm), as indicated by ultra-performance liquid chromatographic analysis. Then, such leaf powders of different particle sizes were incorporated into freeze-dried chips formulation to evaluate the effect on chips properties. There was an apparent higher retention of total chlorophylls (161%), total phenolic (46%), and total flavonoid (79%) due to the decrease in particle size, ultimately showing an increase in the antioxidant activities. Also, the color (L*, a*, and b* values) was significantly difference (p aw = 0.6). Conclusively, samples containing finer asparagus powder showed higher nutritional and phytochemical contents than those made with coarser powder.</p

¹⁵N NMR of RNA Fragments Containing Specifically Labeled GU and GC Pairs

15N and 13C NMR have been used to study three specifically labeled RNA fragments that include two tandem GU wobble pairs of different thermal stability and a tetraloop GU pair. The data are also compared to earlier 15N NMR work on an isolated, intrahelical GU pair. The results provide qualitative information on the relative contributions by stacking and hydrogen bonding to chemical shift changes at specific sites in a variety of GU pairs. Chemical shifts for the unpaired guanine amino groups in the isolated and both tandem wobble pairs are all significantly upfield of corresponding paired GC aminos. The guanine amino of the tetraloop is further downfield, as expected for a base paired hydrogen bond donor. Thus, 15N NMR can be diagnostic for the presence of base−base pairing in RNA. Chemical shifts of the guanine N1 in all four GU pairs show significant shielding effects, particularly those of the more stable tandem GU pair. Similar shielding is also seen in the 13C data for the C2 atom of the GU wobble pairs. Our results demonstrate that these adjacent ring atoms (N1 and C2) are in the shielding regions of neighboring bases, and that specific labeling can provide information on base stacking. Thus, where global structure is known, specific labeling can be invaluable as a complement to probe local interactions. It is likely, however, that the most important use of specific labeling will be with complex systems in which global structural information is incomplete

Data_Sheet_1_Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S..pdf

Given that the effectiveness of COVID-19 vaccines and other therapies is greatly limited by the continuously emerging variants, non-pharmaceutical interventions have been adopted as primary control strategies in the global fight against the COVID-19 pandemic. However, implementing strict interventions over extended periods of time is inevitably hurting the economy. Many countries are faced with the dilemma of how to take appropriate policy actions for socio-economic recovery while curbing the further spread of COVID-19. With an aim to solve this multi-objective decision-making problem, we investigate the underlying temporal dynamics and associations between policies, mobility patterns, and virus transmission through vector autoregressive models and the Toda-Yamamoto Granger causality test. Our findings reveal the presence of temporal lagged effects and Granger causality relationships among various transmission and human mobility variables. We further assess the effectiveness of existing COVID-19 control measures and explore potential optimal strategies that strike a balance between public health and socio-economic recovery for individual states in the U.S. by employing the Pareto optimality and genetic algorithms. The results highlight the joint power of the state of emergency declaration, wearing face masks, and the closure of bars, and emphasize the necessity of pursuing tailor-made strategies for different states and phases of epidemiological transmission. Our framework enables policymakers to create more refined designs of COVID-19 strategies and can be extended to other countries regarding best practices in pandemic response.</p

sj-docx-1-hol-10.1177_09596836231197736 – Supplemental material for Wells, fields and the emergence of early-to-middle Holocene villages in the Huai River region, China: Contesting regional similarities and differences on prehistoric water management with new archaeological and palaeo-environmental evidence

Supplemental material, sj-docx-1-hol-10.1177_09596836231197736 for Wells, fields and the emergence of early-to-middle Holocene villages in the Huai River region, China: Contesting regional similarities and differences on prehistoric water management with new archaeological and palaeo-environmental evidence by Yijie Zhuang, Xingtao Wei, Lina Zhuang, Xiaohu Zhang and Junjie Xu in The Holocene</p

DataSheet_1_Which land cover product provides the most accurate land use land cover map of the Yellow River Basin?.pdf

Precise land use land cover (LULC) data are essential for understanding the landscape structure and spatial pattern of land use/cover in the Yellow River Basin (YRB) to regulate scientific and rational territorial spatial planning and support sustainable development. However, differences in the multiple sets of LULC products in portraying the land composition of the YRB limit our understanding of the land cover composition in this region. To address this issue, this study chose five sets of open and high spatiotemporal LULC data in 2020, namely, CLCD, LSV10, ESRI10, CLC_FCS30, and Globeland30, to evaluate the accuracy and consistency of classification in the YRB. Our results show that: (1) The LULC composition of the YRB in 2020 was mapped consistently by the five datasets. Grasslands, croplands, and woodlands constitute the major LULC types, accounting for 96% of the total area of the study area. (2) The correlation coefficients of the LULC types of any two of the five datasets ranged from 0.926 to 0.998, showing high land compositional consistency. However, among the five datasets, there were considerable differences in the areas of a single LULC type. (3) The classification consistencies of croplands, woodlands, grasslands, and water bodies were higher than 60% in any two datasets. The spatial consistencies of grasslands, croplands, and woodlands were higher than those of other LULC types. An area with better consistency can reach more than 50% of the average area of the corresponding land types, but grasslands were mixed with other LULC types in ESRI10 and GLC_FCS30. (4) According to the accuracy assessments, LSV10 data have the highest overall classification accuracy, 79.32%, and the classification accuracy of major land types is also higher than 70%; GLC_FCS30 data have the lowest overall accuracy, 70.14%. Based on these results, LSV10 can more accurately demonstrate LULC than the other four datasets. This study can be used as a reference for selecting land cover data, and it also highlights that the necessary assessments of consistency and accuracy are essential when conducting land use/cover change studies in a specific region.</p

Data for: Changes along the Yiluo River influenced the emergence of the first urban center at the Erlitou Site, Central Plains of China

Table S1 (Supplementary Table). Lithostratigraphic and archaeostratigraphic descriptions of the 49 sections in Luoyang Basin