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"Zhang, Yi-Yi"
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معدات استخراج النفط الصينية عالميا
يستعرض الكتاب النهضة الصناعية في مجال استخراج النفط والغاز والبتروكيميائيات في الصين ويبحث في الآليات التي اتبعتها كبريات الشركات الهندسية الصناعية في هذا الحقل ويبيّن أهمية عملها من خلال شرح مبادئ عمل معدات بالغة الأهمية من أجل التنقيب عن المادة الخام في البحار والآبار، وهي معدات تمتاز بأنها متقدمة تكنولوجيا في مجال الطاقة وإعادة تدويرها والنقل بخطوط أنابيب النفط والغاز وتكسير الغاز الحجري وغير ذلك.
Book
A generalization of Gauss principle to the space spanned by arbitrary-order derivative of acceleration and its application to nonholonomic mechanics
As a universal principle in analytical mechanics, Gauss principle is characterized by its extremal property, which differs from other differential variational principles. Because of its universality and extreme properties, the Gauss principle is not only theoretically important, but also has great practical value, such as in robot dynamics, multi-body systems, approximate solutions to dynamics equations, etc. In this paper, the arbitrary-order Gauss principle is proposed and its application in nonholonomic mechanics is studied. Firstly, the concept of the space spanned by arbitrary-order derivative of acceleration is proposed, and Gauss principle of mechanical system with two-sided ideal constraints is established in this space. By defining the generalized compulsion function, it is proved that in the arbitrary-order derivative space of acceleration this function yields a stationary value along the path of real motion. Secondly, three kinds of arbitrary-order Gauss principles in generalized coordinates are derived. Thirdly, by constructing the generalized compulsion function of nonholonomic systems, the arbitrary-order Gauss principles are extended to nonholonomic systems, and Appell equations, Lagrange equations and Nielsen equations are derived.
Journal Article
Automotive power transmission systems
'Automotive Power Transmission Systems' provides technical details and developments for all automotive power transmission systems. The transmission system of an automotive vehicle is the key to the dynamic performance, drivability and comfort, and fuel economy.
Book
Prevalence of posttraumatic stress disorder after infectious disease pandemics in the twenty-first century, including COVID-19: a meta-analysis and systematic review
Pandemics have become more frequent and more complex during the twenty-first century. Posttraumatic stress disorder (PTSD) following pandemics is a significant public health concern. We sought to provide a reliable estimate of the worldwide prevalence of PTSD after large-scale pandemics as well as associated risk factors, by a systematic review and meta-analysis. We systematically searched the MedLine, Embase, PsycINFO, Web of Science, CNKI, WanFang, medRxiv, and bioRxiv databases to identify studies that were published from the inception up to August 23, 2020, and reported the prevalence of PTSD after pandemics including sudden acute respiratory syndrome (SARS), H1N1, Poliomyelitis, Ebola, Zika, Nipah, Middle Eastern respiratory syndrome coronavirus (MERS-CoV), H5N1, and coronavirus disease 2019 (COVID-19). A total of 88 studies were included in the analysis, with 77 having prevalence information and 70 having risk factors information. The overall pooled prevalence of post-pandemic PTSD across all populations was 22.6% (95% confidence interval (CI): 19.9–25.4%, I2: 99.7%). Healthcare workers had the highest prevalence of PTSD (26.9%; 95% CI: 20.3–33.6%), followed by infected cases (23.8%: 16.6–31.0%), and the general public (19.3%: 15.3–23.2%). However, the heterogeneity of study findings indicates that results should be interpreted cautiously. Risk factors including individual, family, and societal factors, pandemic-related factors, and specific factors in healthcare workers and patients for post-pandemic PTSD were summarized and discussed in this systematic review. Long-term monitoring and early interventions should be implemented to improve post-pandemic mental health and long-term recovery.
Journal Article
رن تشنغ في : براعة التنافس : قصة نجاح شركة هواوي
من أرد البحث عن الأمل والتفائل فلينظر لرجل الأعمال الصيني رن تشنغ في الذي تحول إلى أسطورة بجهده وعرقه وصبره حتى قيل فيه \"الرجل الأسطورة لا يولد أسطورة\" وقد تعامل تشنغ في مع الظروف التى عاشها بإيجابية وذكاء وحكمه، ولم يمنعه الفقر من التعلم والالتحاق بالجامعة، ثم خاص حياة عسكرية استمرت 14 عاما كان فيها القائد البعيد عن الأضواء الجندي المجهول الذي يعمل بعيدا عن السمعة والشهرة.
Book
Lnc SMAD5-AS1 as ceRNA inhibit proliferation of diffuse large B cell lymphoma via Wnt/β-catenin pathway by sponging miR-135b-5p to elevate expression of APC
Diffuse large B cell lymphoma (DLBCL) is a common and fatal hematological malignancy. Long noncoding RNAs (lncRNAs) have emerged as crucial biomarkers and regulators in many cancers. Novel lncRNA biomarker in DLBCL needs to be investigated badly, as well as its function and molecular mechanism. To further explore, microarray analysis was performed to identify the differentially expressed lncRNAs in DLBCL tissues. To investigate the biological functions of SMAD5-AS1, we performed gain- and loss-of-function experiments in vitro and in vivo. Furthermore, bioinformatics analysis, dual-luciferase reporter assays, Argonaute 2-RNA immunoprecipitation (AGO2-RIP), RNA pull-down assay, quantitative PCR arrays, western blot assay, TOPFlash/FOPFlash reporter assay, and rescue experiments were conducted to explore the underlying mechanisms of competitive endogenous RNAs (ceRNAs). We found that SMAD5-AS1 was down-regulated in DLBCL tissues and cell lines. Functionally, SMAD5-AS1 downregulation promoted cell proliferation in vitro and in vivo, whereas SMAD5-AS1 overexpression could lead to the opposite effects in vitro and in vivo. Bioinformatics analysis and luciferase assays revealed that miR-135b-5p was a direct target of SMAD5-AS1, which was validated by dual-luciferase reporter assays, AGO2-RIP, RNA pull-down assay, and rescue experiments. Also, dual-luciferase reporter assays and rescue experiments demonstrated that miR-135b-5p targeted the adenomatous polyposis coli (APC) gene directly. SMAD5-AS1/miR-135b-5p inhibits the cell proliferation via inactivating the classic Wnt/β-catenin pathway in the form of APC dependency. Our results indicated that SMAD5-AS1 inhibits DLBCL proliferation by sponging miR-135b-5p to up-regulate APC expression and inactivate classic Wnt/β-catenin pathway, suggesting that SMAD5-AS1 may act as a potential biomarker and therapeutic target for DLBCL.
Journal Article
Analytics and optimization for renewable energy integration
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration. The first part presents mathematical theories of stochastic mathematics; the second presents modelling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Book
Factors affecting variations of soil pH in different horizons in hilly regions
Soil pH is a key factor that controls soil nutrient availability, soil microbial activities, and crop growth and development. However, studies on the soil pH variations of cultivated lands in different horizons at the regional scale remain limited. In this work, 348 soil samples were collected from three soil horizons (A, B, and C) at 120 sites over the hilly region of Chongqing, southwestern China. Six topographic indicators, four climate parameters, and parent material were considered. Classification and regression trees (CARTs) were applied to investigate the relationships between soil pH and the variables in the A, B, and C horizons. Model performances were evaluated by root mean square error (RMSE), relative root mean square error (RRMSE), and coefficient of determination (R2). Results showed that soil pH increased obviously from the A to C horizons. Soil pH was predicted well by the forcing factors with the CART models in all horizons. RMSE, RRMSE, and R2 varied between 0.37 and 0.435, between 5.93 and 7.23%, and between 0.71 and 0.80, respectively. The relative importance of the studied variables to soil pH differed with the horizons. Annual temperature range (ATR), terrain wetness index (TWI), and Melton ruggedness number were critical factors that controlled soil pH variability in the A horizon. Parent material, precipitation of warmest quarter (PWQ), ATR, and TWI were important variables in the B horizon. Parent material, PWQ, ATR, and precipitation were key factors in the C horizon. The results are expected to provide valuable information for designing appropriate measurements for agricultural practices and preventing soil acidification.
Journal Article
MEST: An Action Recognition Network with Motion Encoder and Spatio-Temporal Module
As a sub-field of video content analysis, action recognition has received extensive attention in recent years, which aims to recognize human actions in videos. Compared with a single image, video has a temporal dimension. Therefore, it is of great significance to extract the spatio-temporal information from videos for action recognition. In this paper, an efficient network to extract spatio-temporal information with relatively low computational load (dubbed MEST) is proposed. Firstly, a motion encoder to capture short-term motion cues between consecutive frames is developed, followed by a channel-wise spatio-temporal module to model long-term feature information. Moreover, the weight standardization method is applied to the convolution layers followed by batch normalization layers to expedite the training process and facilitate convergence. Experiments are conducted on five public datasets of action recognition, Something-Something-V1 and -V2, Jester, UCF101 and HMDB51, where MEST exhibits competitive performance compared to other popular methods. The results demonstrate the effectiveness of our network in terms of accuracy, computational cost and network scales.
Journal Article