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目的 探索系统性免疫炎症指数（systemic immune-inflammatory index，SII）与卒中后抑郁（post-stroke depression，PSD）的关系及SII对PSD的预测价值。 方法 连续纳入2019年2月—2021年2月在宝鸡市中心医院神经内科住院治疗的缺血性卒中患者，进行回顾性分析。根据发病30 d后HAMD-17评分分为PSD组和非PSD组。比较两组患者人口学特点、影像资料、临床基线数据、SII等信息，采用多因素logistic回归分析法来研究SII与PSD的关系。 结果 本研究共纳入307例患者，其中PSD组103例，非PSD组204例。PSD组患者的SII明显高于非PSD组[518.89×109/L（478.20×109/L～559.12×109/L）vs. 448.15×109/L（407.88×109/L～ 490.16×109/L），P＜0.001]。PSD组患者HAMD-17评分与SII呈正相关（r=0.364，P＜0.001）。多因素logistic分析提示SII增高是PSD发病的独立性危险因素（中间三分位数：OR 1.770，95%CI 1.325～2.364，P=0.003；较高三分位数：OR 2.472，95%CI 1.747～3.469，P=0.001）。ROC分析显示，SII预测PSD对应的AUC为0.765（95%CI 0.709～0.820，P＜0.001），SII预测PSD的最佳临界值为478.18×109/L，此时敏感度为75.7%，特异度为67.6%。 结论 SII增高可能是PSD的独立性危险因素，对PSD有潜在的预测价值。 Abstract: Objective This study explored the correlation between systemic immune-inflammatory index (SII) and post-stroke depression (PSD) and the predictive value of SII for PSD diagnosis. Methods Patients diagnosed with acute ischemic stroke for the first time in the Department of Neurology of Baoji Central Hospital from February 2019 to February 2021 were consecutively enrolled. The patients were divided into PSD group and non-PSD group according to the results of the HAMD-17, 30 days after onset. The two groups’ demographic characteristics, imaging data, baseline clinical data, and SII were compared, and multivariate logistic regression analysis was used to explore the correlation between SII and PSD. Results A total of 307 patients were included in this study, including 103 patients in the PSD group and 204 patients in the non-PSD group. The SII in the PSD group was significantly higher than that in the non-PSD group[518.89×109/L (478.20×109/L-559.12×109/L) vs. 448.15×109/L (407.88×109/L-490.16×109/L), P﹤0.001]. HAMD-17 score was positively correlated with SII in PSD patients (r=0.364, P﹤0.001). Multivariate logistic results indicated that increment of SII was an independent risk factor for PSD (middle tertile: OR 1.170, 95%CI 1.325-2.364, P=0.003; highest tertile: OR 2.472, 95%CI 1.747-3.469, P=0.001). ROC analysis showed that the AUC of PSD predicted by SII was 0.765 (95%CI 0.709-0.820, P﹤0.001) , the cut-off point for predicting PSD was 478.18×109/L, the sensitivity was 75.7%, and the specificity was 67.6%. Conclusions Increased SII is an independent risk factor for PSD, which has a potential predictive value for diagnosing PSD.

随着旅行方式的不断演变，传统旅游管理服务模式的滞后已不再满足现代游客对个性化、品质化出行的需求。为解决该问题，搭建了甘肃省智慧旅游系统。首先对相关研究进行综述，然后详细描述了系统的构成和实现过程，包括甘肃智慧旅游大数据中心的构建和“一部手机游甘肃”综合服务平台的设计。系统通过分层架构和逻辑框架，实现了旅游数据与游客行为的关联映射，并对多元数据进行融合计算。最后，以高速公路自驾车流量预测模型、旅游目的地形象代表的图片选择模型和旅游评论情感影响因素分析模型为例，阐述了综合服务平台面向政府、业态、游客提供的智能化服务。应用成效表明，该系统的实施有效地提高了甘肃地区旅游服务的质量和游客满意度，进一步推动了甘肃智慧旅游的快速发展。

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The misuse of metronidazole（MNZ） has caused serious pollution of the water environment. In this paper, the adsorption effects of MNZ on single-walled carbon nanotube（CNT） and Fe doped carbon nanotube（Fe-CNT） were studied by first-principles calculation. The adsorption structure, adsorption energy, electron orbital, charge transfer and state density of single-walled CNT and Fe-CNT and MNZ were calculated respectively. The results show that the original CNT has a weak adsorption effect on MNZ, while the interaction between Fe-CNT and MNZ is significantly enhanced. Therefore, Fe-CNT is expected to be candidates for adsorbing the water contaminant MNZ. [ABSTRACT FROM AUTHOR]

Mercury is a toxic heavy metal, and mercury emitted in various forms in production and life poses a certain degree of threat to ecology and human health. Therefore, it is of great importance to find highly effective mercury adsorbents. Based on the first-principles calculation method of density functional theory, the adsorption and oxidation mechanism of mercury on Ti2NO2（MXene） and Ti2NO2 with an oxygen vacancy(Ov-Ti2NO2) defect was studied. The calculation results show that the adsorption of Hg0 on the surface of Ti2NO2 is physical adsorption and the adsorption on the surface of Ov-Ti2NO2 is chemical adsorption. The presence of oxygen vacancies on the surface of Ti2NO2 can improve the interaction between HgO and Ov-Ti2NO2, thereby increasing the adsorption energy by 116 kJ/mol. The reaction barrier of Hg0 oxidation to HgO on the surface of Ov-Ti2NO2 is 92.55 kJ/mol, which is smaller than the energy barrier of its oxidation reaction on the surface of Ti2NO2（101.42 kJ/mol), which is more conducive to the oxidation of Hg0. In addition, the energy required for the desorption of HgO on Ov-Ti2NO2 surface is 226.18 kJ/mol, which is much higher than that of 110.49 kJ/mol on Ti2NO2 surface, indicating that the Ov-Ti2NO2 has better control ability of product HgO than Ti2NO2, which can inhibit secondary pollution caused by HgO desorption. [ABSTRACT FROM AUTHOR]

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Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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[Objective] The detection of lameness in dairy cows is an important issue that needs to be solved urgently in the process of large-scale dairy farming. Timely detection and effective intervention can reduce the culling rate of young dairy cows, which has important practical significance for increasing the milk production of dairy cows and improving the economic benefits of pastures. Due to the low efficiency and low degree of automation of traditional manual detection and contact sensor detection, the mainstream cow lameness detection method is mainly based on computer vision. The detection perspective of existing computer vision-based cow lameness detection methods is mainly side view, but the side view perspective has limitations that are difficult to eliminate. In the actual detection process, there are problems such as cows blocking each other and difficulty in deployment. The cow lameness detection method from the top view will not be difficult to use on the farm due to occlusion problems. The aim is to solve the occlusion problem under the side view. [Methods] In order to fully explore the movement undulations of the trunk of the cow and the movement information in the time dimension during the walking process of the cow, a cow lameness detection method was proposed from a top view based on fused spatiotemporal flow features. By analyzing the height changes of the lame cow in the depth video stream during movement, a spatial stream feature image sequence was constructed. By analyzing the instantaneous speed of the lame cow's body moving forward and swaying left and right when walking, optical flow was used to capture the instantaneous speed of the cow's movement, and a time flow characteristic image sequence was constructed. The spatial flow and time flow features were combined to construct a fused spatiotemporal flow feature image sequence. Different from traditional image classification tasks, the image sequence of cows walking includes features in both time and space dimensions. There would be a certain distinction between lame cows and non-lame cows due to their related postures and walking speeds when walking, so using video information analysis was feasible to characterize lameness as a behavior. The video action classification network could effectively model the spatiotemporal information in the input image sequence and output the corresponding category in the predicted result. The attention module Convolutional Block Attention Module (CBAM) was used to improve the PP-TSMv2 video action classification network and build the Cow-TSM cow lameness detection model. The CBAM module could perform channel weighting on different modes of cows, while paying attention to the weights between pixels to improve the model's feature extraction capabilities. Finally, cow lameness experiments were conducted on different modalities, different attention mechanisms, different video action classification networks and comparison of existing methods. The data was used for cow lameness included a total of 180 video streams of cows walking. Each video was decomposed into 100 ‒ 400 frames. The ratio of the number of video segments of lame cows and normal cows was 1:1. For the feature extraction of cow lameness from the top view, RGB images had less extractable information, so this work mainly used depth video streams. [Results and Discussions] In this study, a total of 180 segments of cow image sequence data were acquired and processed, including 90 lame cows and 90 non-lame cows with a 1:1 ratio of video segments, and the prediction accuracy of automatic detection method for dairy cow lameness based on fusion of spatiotemporal stream features reaches 88.7%, the model size was 22 M, and the offline inference time was 0.046 s. The prediction accuracy of the common mainstream video action classification models TSM, PP-TSM, SlowFast and TimesFormer models on the data set of automatic detection method for dairy cow lameness based on fusion of spatiotemporal stream features reached 66.7%, 84.8%, 87.1% and 85.7%, respectively. The comprehensive performance of the improved Cow-TSM model in this paper was the most. At the same time, the recognition accuracy of the fused spatiotemporal flow feature image was improved by 12% and 4.1%, respectively, compared with the temporal mode and spatial mode, which proved the effectiveness of spatiotemporal flow fusion in this method. By conducting ablation experiments on different attention mechanisms of SE, SK, CA and CBAM, it was proved that the CBAM attention mechanism used has the best effect on the data of automatic detection method for dairy cow lameness based on fusion of spatiotemporal stream features. The channel attention in CBAM had a better effect on fused spatiotemporal flow data, and the spatial attention could also focus on the key spatial information in cow images. Finally, comparisons were made with existing lameness detection methods, including different methods from side view and top view. Compared with existing methods in the side-view perspective, the prediction accuracy of automatic detection method for dairy cow lameness based on fusion of spatiotemporal stream features was slightly lower, because the side-view perspective had more effective cow lameness characteristics. Compared with the method from the top view, a novel fused spatiotemporal flow feature detection method with better performance and practicability was proposed. [Conclusions] This method can avoid the occlusion problem of detecting lame cows from the side view, and at the same time improves the prediction accuracy of the detection method from the top view. It is of great significance for reducing the incidence of lameness in cows and improving the economic benefits of the pasture, and meets the needs of large-scale construction of the pasture. [ABSTRACT FROM AUTHOR]

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OBJECTIVE: Exercise intervention is one of the main treatments for fibromyalgia, but there is no consistent conclusion on the choice of different exercise modalities. In this article, a network Meta-analysis was used to comprehensively and quantitatively evaluate the effects of different exercise modalities on fibromyalgia syndrome. METHODS: PubMed, EMbase, Scoups, The Cochrane Library, Web of Science, CNKI, WanFang Database, and China Biomedical Literature Database were searched for relevant literature, with a search timeframe from the establishment of each database to June 2023. The outcome indicators included five continuous variables, including fibromyalgia impact questionnaire-revised (FIQ) scores, visual analogue scale (VAS) scores, quality of life, quality of sleep, and depression. The Cochrane Risk of Bias Assessment Tool was used to evaluate the quality of the included literature. RevMan 5.4 software was used to perform effect sizes, subgroup analyses, and sensitivity analyses of the data. Stata 17 software was used to perform reticulation and network Meta-analysis of the data. RESULTS: A total of 13 articles with 14 randomized controlled trials were finally included. The overall methodological quality of the literature was high. The results of traditional Meta-analysis showed that, compared with the control group, exercise therapy significantly improved the FIQ score [standardized mean difference (SMD)=-0.67, 95% confidence interval (CI): -0.83 to -0.50, P < 0.01], VAS score (SMD=-0.72, 95% CI:-0.90 to -0.54, P < 0.01), quality of life (SMD=1.03, 95% CI: 0.45 to 1.61, P=0.000 5), sleep quality (SMD=-0.62, 95% CI: -0.98 to -0.25, P=0.001), and depression (SMD=-0.63, 95% CI: -1.09 to -0.18, P=0.007). Network Meta-analysis showed that the probability of optimal intervention effect of exercise modalities on FIQ scores was ranked as: mind-body exercise (86.5) > resistance exercise (70.5) > aerobic exercise (41.7); the probability of optimal intervention effect of exercise modalities on VAS scores was ranked as: resistance exercise (85.3) > mind-body exercise (74.3) > aerobic exercise (34.5). CONCLUSION: Exercise therapy significantly improves FIQ scores, VAS scores, quality of life, sleep quality, and depression in patients with fibromyalgia syndrome. Mind-body exercise and resistance exercise are the most effective exercise modalities to reduce FIQ scores and VAS scores in patients with fibromyalgia syndrome. [ABSTRACT FROM AUTHOR]

In order to explore the mechanism of digital economy enabling high-quality development in the Yellow River Basin and provide reference for the full implementation of major national strategies for ecological protection and high-quality development in the Yellow River Basin, based on the theoretical analysis of the relationship between digital economy and high-quality development, the evaluation index systems of high-quality development level and digital economy development level were built respectively. Based on the panel data of 60 cities along the Yellow River from 2011 to 2020, the entropy method was used to measure the digital economy development level index and high-quality development level index in the Yellow River Basin. Then, taking the high-quality development level as the explained variable, the digital economy development level as the core explanatory variable, the industrial structure upgrading and green technology innovation as the mechanism variables, and the environmental level and employment level as the control variables, the benchmark measurement model and the mechanism test model were built. Through the model regression, the mechanism of digital economy promoting the high-quality development of the Yellow River Basin was empirically analyzed, and the empirical analysis results were endogenous and robust. The results show that the high-quality development of the Yellow River Basin empowered by the digital economy is significant, and its internal mechanism is to promote the upgrading of industrial structure and green technology innovation. There are spatial differences in the high-quality development of the Yellow River Basin enabled by the digital economy. Its role is most obvious in the middle reaches of the Yellow River and relatively smaller in the upper and lower reaches. It puts forward policy suggestions such as comprehensively promoting the development of digital economy in the Yellow River Basin and further enabling high-quality development, promoting the upgrading of industrial structure, improving the level of green technology innovation, implementing regional differentiation development strategy, and promoting regional integration development. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Low permeability reservoir has the characteristics of dense rock, poor physical properties and small pore throat. External fluid can enter the pore throats of the reservoir under the action of capillary force, causing water lock damage, which seriously affects the production of low permeability reservoir. To solve this problem, a new type of fluorocarbon waterproof lock agent (FS-1) was prepared with perfluorooctanoic acid, ethanolamine and sodium chloroacetate as raw materials, and its structure was characterized by infrared spectrum, and the effect of fluorocarbon waterproof lock agent on the water-locking performance of brine solution in core pores was studied. The results showed that the waterproof lock agent can significantly reduce the surface tension of the brine solution (＜15 mN/m), and increase the contact angle of the distilled water on the sandstone surface to 85.3°, indicating that the developed waterproof lock agent can change the core surface wettability from hydrophilic to neutral wet, and effectively reduce the water locking damage to the cores. In addition, the waterproof lock agent (FS-1) contains multiple adsorption and salt-resistant groups, which can improve the adsorption ability of the molecule on the rock surface and makes its salt tolerance reach 7% (NaCl). Imbibition experiment, permeability test experiment and nuclear magnetic resonance experiment found that the waterproof lock agent(FS-1) slowed down the self-imbibition of the core, reduced the binding ability of the core pores to salt water and the water locking damage of the core, and improved the recovery rate of the core permeability. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Silk is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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As a new type of intelligent mine, homing mine plays an important role in modern maritime warfare. In order to improve the interception probability of the passing target by the mine barrage composed of homing mine. Firstly, in order to obtain the detection area of homing mine in the battlefield environment, the target detection system of homing mine was modelled in this dissertation. Then, based on the genetic algorithm, the deployment position of the homing mine is optimized. By simulating the situation when multiple targets pass through mine barrage before and after optimization, obtain the average probability of the target triggering the homing mine before and after the optimization. The superiority of homing mine placement after optimization is verified. It has guiding significance for the laying of mine positions of homing mine. [ABSTRACT FROM AUTHOR]

Mo2 FeB2 is a good boron based cermet material with high temperature resistance, wear resistance and high strength. It has broad application in the field of mould. The structural stability, elastic properties, hardness and electronic structure of Mo2 FeB2 with Nb alloying were investigated by using first-principles calculations. The calculated cohesive energy and formation enthalpy showed that Nb prefers to occupy the Fe site of Mo2 FeB2, and the Nb at Fe site of Mo2 FeB2 possesses better mechanical properties compared with that at Mo site. Moreover, the calculated results showed that Nb doping could increase the shear modulus, Young’s modulus, bulk modulus and hardness, but slightly decrease the ductility. The suitable doping concentration should be 2.5 at. %. The calculated electronic structure indicated that the increase of mechanical properties is attributed to the formation of Nb-B covalent bonds. [ABSTRACT FROM AUTHOR]

Copyright of Arid Zone Research / Ganhanqu Yanjiu is the property of Arid Zone Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Continue Education Research is the property of Harbin Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)