151 research outputs found
sj-docx-1-dhj-10.1177_20552076231176653 - Supplemental material for Kinect-based objective evaluation of bradykinesia in patients with Parkinson's disease
Supplemental material, sj-docx-1-dhj-10.1177_20552076231176653 for Kinect-based objective evaluation of bradykinesia in patients with Parkinson's disease by Zhuang Wu, Hongkai Gu, Ronghua Hong, Ziwen Xing, Zhuoyu Zhang, Kangwen Peng, Yijing He, Ludi Xie, Jingxing Zhang, Yichen Gao, Yue Jin, Xiaoyun Su, Hongping Zhi, Qiang Guan, Lizhen Pan and Lingjing Jin in DIGITAL HEALTH</p
DataSheet1_Protective effect of compatible herbs in Jin-Gu-Lian formula against Alangium chinense-induced neurotoxicity via oxidative stress, neurotransmitter metabolisms, and pharmacokinetics.DOCX
Background:A. chinense frequently used in Miao medicine to treat rheumatic diseases. However, as a famous toxic herb, Alangium chinense and its representative components exhibit ineluctable neurotoxicity, thus creating significant challenges for clinical application. The combined application with compatible herbs in Jin-Gu-Lian formula attenuates such neurotoxicity according to the compatible principle of traditional Chinese medicines.Purpose: We aimed to investigate the detoxification of the compatible herbs in Jin-Gu-Lian formula on A. chinense-induced neurotoxicity and investigate its mechanism.Methods: Neurobehavioral and pathohistological analysis were used to determine the neurotoxicity in rats administered with A. chinense extract (AC), extract of compatible herbs in Jin-Gu-Lian formula (CH) and combination of AC with CH for 14 days. The mechanism underlying the reduction of toxicity by combination with CH was assessed by enzyme-linked immunosorbent assays, spectrophotometric assays, liquid chromatography tandem-mass spectrometry and real-time reverse transcription-quantitative polymerase chain reaction.Results: Compatible herbs attenuated the AC-induced neurotoxicity as evidenced by increased locomotor activity, enhanced grip strength, the decreased frequency of AC-induced morphological damage in neurons, as well as a reduction of neuron-specific enolase (NSE) and neurofilament light chain (NEFL) levels. The combination of AC and CH ameliorated AC-induced oxidative damage by modulating the activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px), and total antioxidant capacity (T-AOC). AC treatment significantly reduced the levels of monoamine and acetylcholine neurotransmitters in the brains of rats, including acetylcholine (Ach), dopamine (DA), 3,4-dihydroxyphenylacetic acid (DOPAC), homovanillic acid (HVA), norepinephrine (NE), and serotonin (5-HT). Combined AC and CH treatment regulated the abnormal concentrations and metabolisms of neurotransmitters. Pharmacokinetic studies showed that the co-administration of AC and CH significantly decreased plasma exposure levels of two main components of AC, as evidenced by the reduction of maximum plasma concentration (Cmax), area under the plasma concentration-time curve (AUC) compared to AC. In addition, the AC-induced downregulation in mRNA expression of cytochrome P450 enzymes was significantly reduced in response to combined AC and CH treatment.Conclusion: Compatible herbs in Jin-Gu-Lian formula alleviated the neurotoxicity induced by A. chinense by ameliorating oxidative damage, preventing abnormality of neurotransmitters and modulating pharmacokinetics.</p
Parastrangalis houhensis N. Ohbayashi & Wang 2004
<i>Parastrangalis houhensis</i> N. Ohbayashi & Wang, 2004 (Figs 12–13) <p> <i>Parastrangalis houhensis</i> N. Ohbayashi & Wang, 2004: 456, figs 2, 5, 9.</p> <p> <b>Material examined.</b> 15♁♁ 20♀♀, China: Hubei, Shennongjia Forestry District, Muyu Town, Qingtianpao, E 110°22′29″ N 31°30′04″, Alt. 1526m, June 3, 2018, coll. by Lei Li and Ping Wang; 1♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yuergou, E 110°19′49″ N 31°34′34″ Alt. 1840m, July 12, 2018, coll. by Lei Li and Ping Wang; 3♁♁, China: Hubei, Shennongjia Forestry District, Hongping Town, Yuergou, E 110°19′49″ N 31°34′34″ Alt. 1840m, July 12, 2018, coll. by Lei Li and Ping Wang; 2♁♁ 1♀, China: Hubei, Shennongjia Forestry District, Dajiuhu Town, Dongxi, E 110°07′19″ N 31°34′32″ Alt. 928m, June 29, 2019, coll. by Xinyue Wang and Ping Wang; 30♁♁ 30♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yousongping, E 110°20′5″ N 31°34′52″ Alt. 1986m, June 26, 2019, coll. by Xinyue Wang and Ping Wang; 10♁♁ 20♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yousongping, E 110°20′20″ N 31°34′03″ Alt. 1972–2064m, June 24, 2019, coll. by Xinyue Wang and Ping Wang; 15♁♁ 30♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yousongping, E 110°20′20″ N 31°34′03″ Alt. 1972–2064m, June 23, 2019, coll. by Xinyue Wang and Ping Wang.</p> <p> <b>Distribution.</b> China: Hubei (Shennongjia).</p>Published as part of <i>Gu, Jiayi, Wang, Ping, Xie, Guanglin & Wang, Wenkai, 2023, Study on the genus Parastrangalis Ganglbauer, 1889 (Coleoptera, Cerambycidae Lepturinae) from Shennongjia, China, pp. 280-286 in Zootaxa 5330 (2)</i> on page 281, DOI: 10.11646/zootaxa.5330.2.6, <a href="http://zenodo.org/record/8249342">http://zenodo.org/record/8249342</a>
Parastrangalis palleago Holzschuh 1998
<i>Parastrangalis palleago</i> Holzschuh, 1998 (Figs 16–17) <p> <i>Parastrangalis palleago</i> Holzschuh, 1998: 25, fig. 33.</p> <p> <b>Material examined.</b> 10♁♁ 10♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yuergou, E 110°19′52″ N 31°34′35″ Alt. 1950m, July 15, 2018, coll. by Lei Li and Ping Wang; 15♁♁ 10♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yousongping, E 110°20′5″ N 31°34′52″ Alt. 1986m, June 27, 2019, coll. by Xinyue Wang and Ping Wang; 7♁♁ 6♀♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yousongping, E 110°20′35″ N 31°33′19″ Alt. 1879m, June 26, 2019, coll. by Xinyue Wang and Ping Wang; 4♁♁ 2♀♀, China: Hubei, Shennongjia Forestry District, Shennongding, E 110°11′33″ N 31°27′11″ Alt. 2551m, July 31, 2019, coll. by Xinyue Wang and Meike Liu.</p> <p> <b>Distribution.</b> China: Hubei (Shennongjia).</p>Published as part of <i>Gu, Jiayi, Wang, Ping, Xie, Guanglin & Wang, Wenkai, 2023, Study on the genus Parastrangalis Ganglbauer, 1889 (Coleoptera, Cerambycidae Lepturinae) from Shennongjia, China, pp. 280-286 in Zootaxa 5330 (2)</i> on page 282, DOI: 10.11646/zootaxa.5330.2.6, <a href="http://zenodo.org/record/8249342">http://zenodo.org/record/8249342</a>
Serum ACTH and Cortisol Level is Associated with the Acute Gastrointestinal Injury Grade in ICU Patients [Erratum]
Xu W, Qiu Y, Qiu H, Zhong M, Li L. Int J Gen Med. 2024;17:127–134.
On page 127, the third author’s name should read from “Hongping Qiu” to “Hongping Qu”.
This error was introduced by the Editorial staff during the publication process
Coating Layer Characterization of Laser Deposited AlSi Coating over Laser Weld Bead
AbstractCorrosion protection of steel components is an important topic in automotive industry. Laser beam welding makes a narrow weld bead, thus minimizing the damage to the original coating on the steel material. However, the weld bead loses its original coating and is vulnerable to corrosive attack. It was demonstrated in this study that laser beam generated AlSi coating is an effective way to apply a protective coating on the weld bead. Coatings with different thickness and topography have been deposited under different laser power and processing speed. The microstructure of the as-deposited coating and its evolution after heat treatment has been studied. EDS was employed to analyze the distribution of chemical compositions of the laser generated coatings. Several metallic compounds of Al and iron have been identified. It was found that the type of metallic compounds can be influenced by the laser processing parameters
Parastrangalis maridae Tichy & Viktora 2017
<i>Parastrangalis maridae</i> Tichý & Viktora, 2017 (Figs 14–15) <p> <i>Parastrangalis maridae</i> Tichý & Viktora, 2017: 506, figs. 3, 4.</p> <p> <b>Material examined.</b> 2♁♁ 1♀, China: Hubei, Shennongjia Forestry District, Hongping Town, Yuergou, E 110°19′49″ N 31°34′34″ Alt. 1840m, July 15, 2018, coll. by Lei Li and Ping Wang.</p> <p> <b>Distribution.</b> China: Hubei (Shennongjia).</p>Published as part of <i>Gu, Jiayi, Wang, Ping, Xie, Guanglin & Wang, Wenkai, 2023, Study on the genus Parastrangalis Ganglbauer, 1889 (Coleoptera, Cerambycidae Lepturinae) from Shennongjia, China, pp. 280-286 in Zootaxa 5330 (2)</i> on page 282, DOI: 10.11646/zootaxa.5330.2.6, <a href="http://zenodo.org/record/8249342">http://zenodo.org/record/8249342</a>
Evaluation of the Coupled WRF-Lake Model over the Great Lakes
A five-year simulation was performed using the advanced Research Weather Research and Forecasting (WRF) model version 3.2 coupled with a one-dimensional thermal diffusion lake scheme that has been enhanced with improved turbulent diffusion coefficients. In this study, the coupled WRF-Lake model is evaluated over the Great Lakes. The simulated monthly lake surface temperature (LST) and lake ice cover (LIC) during the winter months (December, January, and February) over the period of 2003 - 2007 are compared with MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data and output produced from WRF without a lake scheme. The results show that the coupled model is able to realistically simulate LST and LIC, and the spatial correlation coefficients between the WRF-Lake output and MODIS data are above 0.56 for the Great Lakes. The simulated biases from WRF-Lake for LST and LIC are significantly reduced as compared to those from WRF without a lake scheme. WRF-Lake also realistically reproduces the observed precipitation over the areas strongly affected by lake processes. The above results indicate that the coupled WRF-Lake model is very important to accurate predictions of weather and climate over lake-affected regions
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