Unreal Reality: Post-socialist China\u27s Massive Infrastructural Agenda in Jia Zhangke\u27s Three Gorges Films

This thesis focuses on Chinese Six-Generation film director Jia Zhangke’s “Three Gorges films” Still Life (2006) and Ash Is Purest White (2018) to demonstrate the impact of post-socialist China\u27s massive infrastructural agenda on Chinese citizens’ lives and psyches in contemporary Chinese society. Starting with the analysis of Still Life, this thesis first examines Jia’s experimentation with the computerized UFO imagery incorporated into the film’s realist narratives and themes to deliver the sense of unreality people feel towards the construction of the Three Gorges Dam, the world’s largest hydroelectric power station and post-socialist China’s largest infrastructural project. Revisiting the subject matter of the Three Gorges Dam in Ash Is Purest White, Jia extends his examination of China\u27s infrastructural agenda into the country\u27s other parts outside the Three Gorges region. This thesis connects Still Life and Ash Is Purest White in which both films’ female protagonists go to the Three Gorges construction site in search of their estranged male partners, and they both experience the unreal moments of UFO sightings. While he presents the Three Gorges construction’s consequences of housing demolitions, resident evictions and hazards and casualties in Still Life, Jia emphasizes the psychological impact China\u27s infrastructural agenda has on the psyche of Ash Is Purest White’s female protagonist

Vapnik-Chervonenkis dimension in neural networks

This thesis aims to explore the potential of statistical concepts, specifically the Vapnik-Chervonenkis Dimension (VCD)[33], in optimizing neural networks. With the increasing use of neural networks in replacing human labor, ensuring the safety and reliability of these systems is a critical concern. The thesis delves into the question of how to test the safety of neural networks and optimize them through accessible statistical concepts. The thesis presents two case studies to demonstrate the effectiveness of using VCD in optimizing neural networks. The first case study focuses on optimizing the autoencoder, a neural network with both encoding and decoding functions, through the calculation of the VCD. The conclusion suggests that optimizing the activation function can improve the accuracy of the autoencoder at the mathematical level. The second case study explores the optimization of the VGG16 neural network by comparing it to VGG19 in terms of their ability to process high-density data. By adding three hidden layers, VGG19 outperforms VGG16 in learning ability, suggesting that adjusting the number of neural network layers can be an effective way to analyze the capacity of neural networks. Overall, this thesis proposes that statistical concepts such as VCD can provide a promising avenue for analyzing neural networks, thus contributing to the development of more reliable and efficient machine learning systems. The final vision is to allocate the mathematical model reasonably to machine learning and establish an idealized neural network establishment, allowing for safe and effective use of neural networks in various industries

Research methodology in acupuncture and moxibustion for managing primary dysmenorrhea: A scoping review

Background: Acupuncture and moxibustion have promising effects in managing primary dysmenorrhea. However, some evidence from clinical trials remains controversial due to methodological flaws in study designs that involve acupuncture and its related modalities and require urgent attention and dialogue. Methods: Allied and Complementary Medicine Database (AMED), Cochrane Library, Excerpta Medica database (EMBASE), PubMed, Web of Sciences, Chinese Biological Medicine (CBM), China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP), and Wanfang database were searched from their inception to July 2021. Data were extracted based on the types of study design, primary outcome measures, adverse events (AEs), and participants\u27 subjective views. Results: Most studies (n = 282, 93 %) were published in Chinese and 21 (7 %) in English. Among these, there were 209 (69 %) randomized controlled trials (RCTs), 39 (13 %) non-randomized controlled trials (nRCTs), 30 (10 %) case-series reports, 15 (5 %) cohort studies, and 10 (3 %) case reports. The most frequent reported outcome was pain, followed by emotion, sleeping quality, quality of life, skin temperature, changes in brain function, uterine and ovarian blood flow, and reproductive endocrine level. AEs were reported in 37 studies with mild events, and all recovered without actions taken; 31 trials reported no AEs; 235 failed to report any AEs. One RCT found that the satisfaction rate of the intervention group was statistically significantly higher than the control group. Conclusion: Clinical studies on acupuncture and its related modalities face methodological challenges and require urgent attention. RCT with blinding and sham control might be the gold standard trial design. However, it may not be the most suitable research method for these modalities. We recommend using pragmatic RCTs in this field, where trial protocol registration on the trial registry platforms and detailed safety reporting should be mandatory

Efficacy and safety of acupuncture and or moxibustion for managing primary dysmenorrhea: A systematic review and meta-analysis

Acupuncture and moxibustion have been accepted as add-on options for primary dysmenorrhea (PD); however, the clinical evidence is still inadequate. We searched AMED, CENTRAL, EMBASE, PubMed, Web of Science, CBM, CNKI, VIP, Wangfang database, ANZCTR, ClinicalTrials.gov, and the WHO ICTRP, from their inception to February 2021. The pooled analysis of 13 RCTs with 675 participants for VAS showed that acupuncture and moxibustion were more effective in managing PD than the control group with the MD of −1.93 (95% CI [−2.80, −1.06] and −2.67 (95% CI [−4.96, −0.38]). With the CMSS, seven studies with 487 participants showed that these modalities were more effective than the control group with the MD of −7.58 (95% CI [−10.97, −4.19]) and −3.78 (95% CI [−6.90, −0.66]). The findings indicated that acupuncture and moxibustion could relieve pain effectively and has fewer adverse events (AEs) in managing PD

Antagonistic Actions of Juvenile Hormone and 20-Hydroxyecdysone Within the Ring Gland Determine Developmental Transitions in \u3cem\u3eDrosophila\u3c/em\u3e

In both vertebrates and insects, developmental transition from the juvenile stage to adulthood is regulated by steroid hormones. In insects, the steroid hormone, 20-hydroxyecdysone (20E), elicits metamorphosis, thus promoting this transition, while the sesquiterpenoid juvenile hormone (JH) antagonizes 20E signaling to prevent precocious metamorphosis during the larval stages. However, not much is known about the mechanisms involved in cross-talk between these two hormones. In this study, we discovered that in the ring gland (RG) of Drosophila larvae, JH and 20E control each other’s biosynthesis. JH induces expression of a Krüppel-like transcription factor gene Kr-h1 in the prothoracic gland (PG), a portion of the RG that produces the 20E precursor ecdysone. By reducing both steroidogenesis autoregulation and PG size, high levels of Kr-h1 in the PG inhibit ecdysteriod biosynthesis, thus maintaining juvenile status. JH biosynthesis is prevented by 20E in the corpus allatum, the other portion of the RG that produces JH, to ensure the occurrence of metamorphosis. Hence, antagonistic actions of JH and 20E within the RG determine developmental transitions in Drosophila. Our study proposes a mechanism of cross-talk between the two major hormones in the regulation of insect metamorphosis

Proteomics Analysis of the Spinal Dorsal Horn in Diabetic Painful Neuropathy Rats With Electroacupuncture Treatment

BackgroundClinical evidence demonstrates that electro-acupuncture (EA) of the Zu sanli (ST36) and Shen shu (BL23) acupoints is effective in relieving diabetic painful neuropathy (DPN); however, the underlying molecular mechanism requires further investigation, including the protein molecules associated with EA’s effects on DPN.MethodsSprague-Dawley adult male rats (n =36) were randomly assigned into control, DPN, and EA groups (n=12 each). After four weeks of EA treatment, response to mechanical pain and fasting blood glucose were analyzed. A tandem mass tag (TMT) labeling approach coupled with liquid chromatography with tandem mass spectrometry was used to identify potential biomarkers in the spinal dorsal horn. Further, proteomics analysis was used to quantify differentially expressed proteins (DEPs), and gene ontology, KEGG pathways, cluster, and string protein network interaction analyses conducted to explore the main protein targets of EA.ResultsCompared with the DPN model group, the mechanical pain threshold was significantly increased, while the fasting blood glucose levels were clearly decreased in EA group rats. Proteomics analysis was used to quantify 5393 proteins, and DEPs were chosen for further analyses, based on a threshold of 1.2-fold difference in expression level (P < 0.05) compared with control groups. Relative to the control group, 169 down-regulated and 474 up-regulated proteins were identified in the DPN group, while 107 and 328 proteins were up- and down-regulated in the EA treatment group compared with the DPN group. Bioinformatics analysis suggested that levels of proteins involved in oxidative stress injury regulation were dramatically altered during the EA effects on DPN.ConclusionsOur results provide the valuable protein biomarkers, which facilitates unique mechanistic insights into the DPN pathogenesis and EA analgesic, antioxidant stress and hypoglycemic effect