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With the advancement of economic level and science and technology, electronic products are flooding the lives of teenagers. While many people are willing to show themselves on social media, they can freely experiment with different ways to present themselves on the Internet, which could be thought of as a kind of social laboratory. The objective of this article is to analyze whether self-expression will bring satisfaction or anxiety to people’s lives. This article uses self-presentation(Ideal self, Multiple selves, Consistent self, Online presentation preference) as an independent variable, life satisfaction and appearance anxiety as dependent variables. This paper is based on use and satisfaction theory and investigates self-presentation based on prior beliefs utilizing the method of a questionnaire survey which includes a primary focus on people’s degree of satisfaction or anxiety. The final sample included 419 individuals in Weibo, the percentage of female participants is 70.74%, while the proportion of the male participants is 29.26%. According to the findings, appearance anxiety may be more severe when a person is more willing to exhibit themselves on online social media. Additionally, the teens' life satisfaction increased with their willingness to present themselves on online social media.

Purpose: To compare the refractive outcomes and optical zone decentration between patients with symmetrical and asymmetrical high astigmatism after small incision lenticule extraction (SMILE). Methods: This was a prospective analysis of 89 patients (152 eyes) with myopia and astigmatism of more than 2.00 diopters (D) treated with the SMILE procedure. There were 69 eyes with asymmetrical topographies (asymmetrical astigmatism group) and 83 eyes with symmetrical topographies (symmetrical astigmatism group). Decentralization values were assessed using the tangential curvature difference map preoperatively and 6 months after surgery. Decentration, visual refractive outcomes, and induced changes in corneal wavefront aberrations were compared between the two groups 6 months postoperatively. Results: Both groups achieved favorable visual and refractive outcomes, with a mean postoperative cylinder of −0.22 ± 0.23 and −0.20 ± 0.21 D in the asymmetrical and symmetrical astigmatism groups, respectively. In addition, visual and refractive outcomes and induced changes in corneal aberrations were comparable between the asymmetrical and symmetrical astigmatism groups (all P > .05). However, the total and vertical decentration in the asymmetrical astigmatism group was greater than that in the symmetrical astigmatism group (all P < .05), whereas no significant differences were found in the values of horizontal decentration between the two groups ( P > .05). There was a weak positive correlation between induced total corneal higher order aberrations and total decentration ( r = 0.267, P = .026) in the asymmetrical astigmatism group but not in the symmetrical astigmatism group ( r = 0.210, P = .056). Conclusions: An asymmetrical corneal surface might affect treatment centration after SMILE. Subclinical decentration may be associated with the induction of total higher order aberrations, but it did not affect high astigmatic correction or induced corneal aberrations. [ J Refract Surg . 2023;39(4):273–280.]

Multivariate statistical process monitoring are the essential approaches to achieve better prognostics and health management (PHM) of process industries. However, incipient faults and complex behaviors (such as nonlinearity and dynamics) always render the traditional multivariate statistical process monitoring approaches inadequate. Thus, a complex-valued slow independent component analysis (CSICA) is proposed, which is able to extract optimized features from a complex-valued matrix containing both of raw data and their changing rates by resorting to a complex-valued independent component analysis operation and a batch of phase shifts. These features, named slow independent components (SICs), not only guarantee the statistical independence but also capture slowly-changing patterns, thus refining both dynamic and non-Gaussian information mostly related with incipient faults. The proposed algorithm together with novel statistics, I

With the popularity of the Internet and the increase of social platforms, fans have more opportunities to communicate with their idols online. Because of this, idols are more likely to influence their fans by their words and actions. This paper will explore the effect of celebrity speeches on fans' self-worth and sense of belonging based on addiction model, Maslow's hierarchy of needs theory and cultivation theory. By studying the influence of celebrities on fans' self-worth and sense of belonging, this paper can analyze what types or styles of celebrities are more sought after by fans, the psychological reasons why fans' sense of self-worth and belonging are influenced by their idols and remind society to look at following celebrities rationally. Let the public understand the extent to which sensible groupies can relieve stress, make people aware of themselves, and give them a sense of belonging. A questionnaire was used to explore the influence of Yuning Liu on his fans' sense of identity and belonging.

Damage to the knee's cartilage, notably the menisci, is thought to be a substantial contributor to musculoskeletal morbidity. The unique anatomical, biomechanical, and functional properties of knee cartilage make it vulnerable to injury and destruction. Knee cartilage is essential for both everyday use and long-term health. Due to its importance and its injury susceptibility, treatment toward this injury also is important. Considering the contraindications of surgery and the requirements of anesthesia, and the characteristics of the disease in the age distribution, surgery might unsuitable for some people then conservative treatment is worth consider. The purpose of this review is to summarize and analyze recent conservative treatment toward the injury of cartilage in knee and some of the current developments in order to search for the future target. By analyzing several conservative treatments, including pharmacotherapy, physical therapy, Kinesio tape and tissue engineering, it can be clear that conservative treatments have significant effect on symptoms and part of its function but can hardly rebuild its structure and all physiological functions.

In the context of the digital economy, the Internet platform economy has gradually matured and developed, gradually flooding the domestic and foreign markets with its intelligence and efficiency. Various platforms such as e-commerce platforms, social platforms, mobile payment platforms, etc. have been integrated into our lives. At the same time, competition in this field is also gradually intensifying. In order to gain competitive advantage, the abuse of market dominance such as big data killing on the platform and restricted trading in one of two options has become increasingly fierce, seriously damaging the network market environment and social public interests, as well as the legitimate rights and interests of consumers and businesses within the platform. This article is mainly based on the "Anti monopoly Law of the People's Republic of China", the "Anti monopoly Guide in the Field of Platform Economy", as well as relevant laws and regulations and relevant cases at home and abroad, providing a certain reference for the maintenance of order in the field of platform economy and the optimization of the platform market environment.

The evolution of the wavy surface of an iron electrode with anodic polarization time in a sulfuric acid solution under a 0.4 T magnetic field is quantified by 3D tomographic depth profile measurements. The electrode surface after anodic dissolution under a magnetic field is irregular and the 3D profile changes with the anodic polarization time. The anodic dissolution rate is specific to the geometrical location on the electrode, which is, in general, insensitive to the polarization time as well as the surface irregularity.

Summary The economic value of real-time optimization of the drilling process has attracted extensive attention in the period of crude oil price fluctuation. Because of the complicated bottomhole conditions and coupling relationship among subsystems, it is difficult for the driller to continuously adjust the primary manipulation variables—weight on bit (WOB), revolutions per minute (RPM), and managed pressure drilling (MPD) equipment—which leads to unsatisfactory drilling effect and increased nonproductive time. Here, we propose an integrated control strategy based on economic model predictive control with zone tracking (ZoneEMPC), nonlinear model predictive control (NMPC), and Lyapunov-based model predictive control (LMPC) to optimize hydraulic mechanical specific energy (HMSE) while stabilizing bottomhole pressure (BHP). During normal drilling, ZoneEMPC is used to minimize HMSE through operating RPM, WOB, mud pump flow, and choke-valve opening as well as its tracking performance, which ensures that the BHP is maintained within the pressure window. Moreover, the controller is switched to NMPC, which adjusts the BHP to quickly reach the new setting zone. The reason for controller switching is that the tracking accuracy of ZoneEMPC could decline when encountering high-pressure formation with gas invasion. As the BHP reaches the new pressure range, the controller is switched to ZoneEMPC again and the HMSE is reoptimized. In addition, the transmission rate of mud pulse telemetry is not enough to meet the real-time control in practical engineering. Therefore, the LMPC controller is used to ensure the closed-loop stability of the system when the downhole measurement data (e.g., BHP) delayed. This study uses the drilling data of a vertical well located in Tarim, China, to verify the control strategy. The results indicated that the proposed integrated control strategy could improve the rate of penetration (ROP), especially in a formation with high rock strength. Meanwhile, the BHP could be adjusted efficiently and stably under different conditions. This work provides a unified framework integrating multiple system models for practical engineering, which has certain theoretical guiding significance for the automation and intelligent development of the oil and gas industry.

In this study, we aimed to classify 7 cow behavior patterns automatically with an inertial measurement unit (IMU) using a fully convolutional network (FCN) algorithm. Behavioral data of 12 cows were collected by attaching an IMU in a waterproof box on the neck behind the head of each cow. Seven behavior patterns were considered: rub scratching (leg), ruminating-lying, lying, feeding, self-licking, rub scratching (neck), and social licking. To simplify the data and compare classification performance with or without magnetometer data, the 9-axis IMU data were reduced using the square root of the sum of squares to develop 2 datasets. Comparing the classification accuracy of the 3 models using a window size of 64 with 6-axis data and a window size of 128 with both 6-axis and 9-axis data, the best overall accuracy (83.75%) was achieved using the FCN model with a window size of 128 (12.8 s) using all IMU data. This model achieved classification accuracies of 83.2, 96.5, 92.8, 98.1, 82.9, 87.2, and 45.2% for ruminating-lying, lying, feeding, rub scratching (leg), self-licking, rub scratching (neck), and social licking, respectively. As a sequence of varied and intensive movement, the classification accuracy of behavior patterns related to skin disease was lower; better classification of these behavior patterns could be achieved with full IMU data and a larger window size. In the future, additional data will take into account different data types, such as audio and video data, to further enhance performance. In addition, an adaptive sliding window size will be used to improve model performance.

Ti3C2Tx MXene thin-film electrodes are promising for flexible and wearable energy storage devices.

The crystallinity of semiconductors plays a vital role in boosting the separation and transportation of photogenerated carriers and their photocatalytic performance.

The crystallization mode during the SET operation in the nanoscale GST-based mushroom cell has been studied. The nucleation process detected in TEM has been quantified by modelling.