Analysis of China's Film Industry in 2022

In 2022, the COVID-19 epidemic significantly affected the effective supply of films in China, whereby the market fluctuated, and box-office sales decreased. However, China's resilient film industry continued to persevere with quality products being released. New government policies were launched to help the industry's enterprises alleviate their difficulties. Due to these policies, film enterprises endured to reduce costs, increase efficiency, and survive the difficult times. While the top-grossing films supported the market, a number of small and medium budget films were successful, with the reputation of young filmmakers growing rapidly. Creating healthy industry ecology, rebuilding the confidence of practitioners, giving full play to the main role of the market, increasing the effective supply of diversified products, and promoting the vertical and horizontal integration of film within other industries are of great significance to the recovery of both the Chinese film industry and its market in the post-epidemic period. © 2023 Walter de Gruyter GmbH, Berlin/Boston.

Enhanced electrochemiluminescence immunoassay: 2. Enabling signal detection at an early stage of incubation for rapid point-of-care testing

Signal detection in a label-based immunoassay is performed normally when the antigen/antibody binding reaction reaches the equilibrium state during the incubation period of an assay process. Shortening the incubation period in an assay helps reduce the turnaround time and is particularly valuable for point-of-care testing, but the cost is the reduction of signal level and, possibly, measurement precision as well. This work demonstrates that the signal loss could be offset by the stronger emission of an electronically neutral ruthenium(II) complex label, Ru(2, 2′-bipyridine) (bathophenanthroline disulfonate)[4-(2, 2′-bipyridin-4-yl)butanoic acid], used in the electrochemiluminescence (ECL) immunoassay. Combined with the uniquely well-established flow-through washing process in the automated ECL analyzers and the precise control over liquid handling, the assays performed with a 5-minute incubation period showed the same signal level and measurement precision as those of conventional ECL assays. Additionally, the absence of biotin and streptavidin components in the reagent formulation avoids the biotin-streptavidin interaction during assay incubation and fundamentally eliminates the interference of biotin, especially when used in some high-dose therapies. The results obtained from the procalcitonin prototype kit and the supporting evidence from other preliminary reagents (for SARS-CoV-2 N protein and troponin T) are general. The nonequilibrium detection, along with the downsized instrument design, makes the enhanced ECL (EECL) technology a fast high-performance POCT platform that provides the same high-quality data as those generated from the widely deployed [Ru(bpy)3]2+ based laboratorial ECL systems. The anticipated regulatory approval and follow-up clinical implementation will be a significant stride in the decade-long pursuit of novel ECL labels. © 2023 The Author(s)

Online and Offline Mixed Teaching Reform in the Practical Course of Artificial Intelligence and Application

It is necessary to ensure the quality of students' courses, especially practical courses, which is an important part of higher education, and plays a positive role in promoting and popularizing the improvement of innovation and entrepreneurship in the face of the non suspension of classes and schools under the COVID-19. This paper explores the mode of online and offline combined with ideological and political education mixed teaching reform in the course, in order to explore the educational functions and ideological and political elements of the course from the practical contents and objectives from the practical course of artificial intelligence foundation, explore the implementation methods and teaching concepts of ideological and political education in the course, so that students can better master and understand knowledge comprehensively, improve the results of students' ideological and moral education, and explore the reform mode which satisfy the requirements of talent training. © 2022 IEEE.

A Framing Analysis and Regional Comparison of Newspaper Media Reports of COVID-19 in Shanghai: Based on the LDA Topic Model

In this study, we analyzed reports published by local and non-local newspapers on the 2022 COVID-19 outbreak in Shanghai using the Latent Dirichlet Allocation (LDA) topic modeling technique. Framing Theory suggests that both coverage types would typically produce similar media frames, notwithstanding the presence of slight differences in bias. We identified the media frames used by local and non-local newspapers on the Shanghai outbreak and our analysis subsequently informed our discussion on the similarities and differences that were uncovered. The paper offers suggestions for media reporting on how to better cover the outbreak. © 2022 Redfame Publishing Inc.. All Rights Reserved.

Delivery Strategy Under Epidemic Based on Neural Network and ALNS

Under the background of the continuous spread of covid-19, fresh food delivery platforms need to make decisions on how to incorporate epidemic factors into their delivery strategies. In this paper, considering the factors of large activity range, long path, low efficiency and high risk of delivery staff in reservation-type fresh food delivery, combined with the perspective of delivery platform, a path planning model is constructed. we apply the ALNS algorithm to the proposed model and compares it with other classical heuristic algorithms. The results show that our proposed model can effectively reduce risks and improve delivery efficiency. © 2022 SPIE.

Delivery Strategy Under Epidemic Based on Neural Network and ALNS

Under the background of the continuous spread of covid-19, fresh food delivery platforms need to make decisions on how to incorporate epidemic factors into their delivery strategies. In this paper, considering the factors of large activity range, long path, low efficiency and high risk of delivery staff in reservation-type fresh food delivery, combined with the perspective of delivery platform, a path planning model is constructed. we apply the ALNS algorithm to the proposed model and compares it with other classical heuristic algorithms. The results show that our proposed model can effectively reduce risks and improve delivery efficiency. © 2022 SPIE.

Parental Perspectives on the Impact of the COVID-19 Pandemic on Infant, Child, and Adolescent Development.

OBJECTIVE: The purpose of this study is to understand how families from diverse sociodemographic backgrounds perceived the impact of the pandemic on the development of their children. METHODS: We used a multimethod approach guided by Bronfenbrenner's Ecological Systems Theory, which identifies 5 developmental systems (micro, meso, exo, macro, and chrono). Semistructured interviews were conducted in English or Spanish with parents living in 5 geographic regions of the United States between July and September 2021. Participants also completed the COVID-19 Exposure and Family Impact Survey. RESULTS: Forty-eight families participated, half of whose preferred language was Spanish, with a total of 99 children ages newborn to 19 years. Most qualitative themes pertained to developmental effects of the microsystem and macrosystem. Although many families described negative effects of the pandemic on development, others described positive or no perceived effects. Some families reported inadequate government support in response to the pandemic as causes of stress and potential negative influences on child development. As context for their infant's development, families reported a variety of economic hardships on the COVID-19 Exposure and Family Impact Survey, such as having to move out of their homes and experiencing decreased income. CONCLUSION: In addition to negative impacts, many parents perceived positive pandemic-attributed effects on their child's development, mainly from increased time for parent-child interaction. Families described economic hardships that were exacerbated by the pandemic and that potentially affect child development and insufficient government responses to these hardships. These findings hold important lessons for leaders who wish to design innovative solutions that address inequities in maternal, family, and child health.

Subacute Cardiac Tamponade With Massive Pericardial Effusion.

Subacute cardiac tamponade is a diagnostic challenge for clinicians because the symptoms would be non-specific upon presentation. The onset of cardiac tamponade may vary depending on the rate of accumulation and compensatory mechanism of the fibroelastic pericardial sac. In the case of subacute tamponade with effusion without cardiac arrest, it is usually challenging for the clinician to make the decision for urgent drainage. Usually, cardiac tamponade is treated as a medical emergency, and it occurs when fluid accumulated in the pericardial sac compresses the heart causing haemodynamic compromise and cardiac arrest. In our case, a 40-year-old man presented with a seven-day history of significant shortness of breath. He presented to the emergency department and the chest X-ray showed a large cardiac silhouette, which suggested a large pericardial effusion. ECG revealed minor changes in the heights of QRS complexes. Point-of-care echocardiography showed a large pericardial effusion, and he was immediately admitted to the cardiac unit. Urgent departmental echocardiography confirmed massive pericardial effusion with features of subacute tamponade. The patient was sent to the cardiac catheterisation lab and a total of approximately 4.2 litres of pericardial effusion was drained, while he was closely monitored for the risk of rapid physiologic decompensation after drainage. Pericardial fluid culture did not show any evidence of microorganism growth. The connective tissue disease screen was negative. CT scan did not show any stigmata of occult malignancy or features of infection. The coronavirus disease 2019 (COVID-19) polymerase chain reaction test was negative. He had rapid symptomatic improvement after the effusion was drained and recovery was uneventful. He was discharged from the hospital with a follow-up plan. We concluded that it was a case of subacute cardiac tamponade due to a massive pericardial effusion of idiopathic or subclinical viral causes. Clinical presentation of subacute cardiac tamponade could be easily missed, and a detailed assessment of the effusion with echocardiography was very helpful in making decisions for the management.

Deep learning-based optimization of a hydrogen and oxygen production system for patients in hospital with alkaline electrolyzer

The hybrid renewable system's potential to create standard type E capsules for Covid-19 patients was explored in this study. In addition to delivering the requisite energy to the building, standard oxygen capsules were produced using the electrolysis of water using nanomaterial-supported electrolysis in the hydrogen storage system. In addition to the simulation, multi-objective optimization was done using a deep learning neural network and a genetic algorithm to maximize the number of oxygen capsules generated in a year and the system price, and the system's front beam was acquired. The system can produce 19530 units of type E oxygen capsules in a year, and the price of the electrolyzer and fuel cell is 120296 Euros at the best point of the front beam, considering both the objective variable of price and the number of produced oxygen capsules. In this scenario, the electrolyzer and fuel cell have rated powers of 61.9 kW and 15.3 kW, respectively. After determining the optimal point, researchers investigated the connection between meteorological data and other system characteristics including the amount of hydrogen in the tank, the number of oxygen capsules generated each hour, fuel cell power, and the electrolyzer. Lastly, the system's capacity to lower the amount of power required for the office building from the municipal network was investigated, indicating the system's excellent capability in this respect. © 2022 Elsevier Ltd

ST-COVID: a Deep Multi-View Spatio-temporal Model for COVID-19 Forecasting

The outbreak of COVID-19 has caused a dramatic loss of human life worldwide. Reliable prediction results are crucial on pandemic prevention and control in the early stage. However, it is a very challenging task due to insufficient data and dynamic virus spread pattern. Unlike most existing works only considering local data for a given region, we propose a spatio-temporal prediction model (ST-COVID) for COVID-19 forecasting to borrow experience from historical observations of other regions. Specifically, our proposed model consists of two views: spatial view (modeling global spatial connectivity with neighbor regions in geography and semantic space via GCNs), temporal view (extracting local and global latent temporal trend via CNNs and GRU). Extensive experiments on two real-world datasets at state and county level in US indicate that the proposed model outperforms over nine baselines in both short-term and long-term prediction. © 2022 IEEE.

Efficient and Secure Pairing Protocol for Devices with Unbalanced Computational Capabilities

Wearable devices that collect data about human beings are widely used in healthcare applications. Once collected, the health data will be securely transmitted to smartphones in most scenarios. Authenticated Key Exchange (AKE) can protect wireless communications between wearables and smartphones, and a typical solution is the Bluetooth Secure Simple Pairing (SSP) protocol with numeric comparison. However, this protocol requires equivalent computation on both devices, even though their computational capabilities are significantly different. This paper proposes a lightweight numeric comparison protocol for communications in which two parties have unbalanced computational capabilities, e.g., a wearable sensor and a smartphone, named UnBalanced secure Pairing using numeric comparison (UB-Pairing for short). The security of UB-Pairing is analyzed using the modified Bellare-Rogaway model (mBR). The analysis results show that UB-Pairing achieves the security goals. We also carry out a number of experiments to evaluate the performance of UB-Pairing. The results show that UB-Pairing is friendly to wearable devices, and more efficient than standard protocols when the computation capabilities of the two communication parties are highly unbalanced.

Sensitivity of Fusarium pseudograminearum isolates to fludioxonil in Henan Province, China

Wheat crown rot caused by Fusarium pseudograminearum has become an important soilborne disease and affects the quality and yield of wheat. In order to detect the sensitivity of F. pseudograminearum to fludioxonil in Henan Province, China, 105 isolates of F. pseudograminearum were collected from six cities in 2019. Sensitivity was determined by the mycelial growth rate method, then the methods of least-significant difference (LSD) and SPSS cluster were used for result analysis. The sensitivity of F. pseudograminearum to carbendazim and tebuconazole was determined and the correlation coefficient which existed between fludioxonil and the two fungicides, carbendazim and tebuconazole was analyzed. The results showed that the minimum inhibitory concentration (MIC) of fludioxonil was 0.240 0 μg/mL. The sensitivity frequency distribution was a continuous single peak curve, and the EC50 value ranged from 0.002 7 to 0.047 0 μg/mL. The average EC50 value of (0.026 3 ± 0.010 1) μg/mL, could be used as the sensitivity baseline of the pathogen to fludioxonil. The variance analysis results showed that the sensitivity of the different cities to fludioxonil was different, and the EC50 value ranged from 0.015 0 to 0.033 5 μg/mL. The maximum EC50 value of the isolate from Zhongmu County Zhengzhou City was 16.78 times bigger than the minimum value. Cluster analysis showed that there was no significant correlation between the sensitivity of isolates to fludioxonil and their geographical origin. The mean EC50 values of carbendazimand tebuconazole against the pathogens were (0.788 1 ± 0.315 3) μg/mL and (0.088 6 ± 0.145 3) μg/mL, respectively. There was no significant correlation between the sensitivity of the isolates to fludioxonil, carbendazim and tebuconazole. The results of greenhouse trials showed that the control efficacy of fludioxonil suspension seed coat agent could reach 58.00% (75.0 μg a.i/g) in 2020 and 63.69% (50.0 μg a.i/g) in 2021 when used to treat wheat as a seed dressing agent. The results of this study provide the basis for the rational use of fludioxonil in the control of wheat crown rot and provide information for monitoring the sensitivity of pathogenic fungi to fungicides. (English) [ FROM AUTHOR] 由假禾谷镰刀菌 Fusarium pseudograminearum 引起的小麦茎基腐病已成为重要的土传 病害,并且影响小麦的品质和产量。为了明确中国河南省假禾谷镰刀菌对咯菌腈的敏感性，采用 菌丝生长速率法测定了咯菌腈对 2019 年从河南省 6 个地市分离的 105 株假禾谷镰刀菌 F. pseudograminearum 的敏感性，通过最小显著差异法 (LSD) 和 SPSS 聚类方法对测定结果进行了 分析，并测定了假禾谷镰刀菌对多菌灵和戊唑醇的敏感性，分析了咯菌腈与这两种杀菌剂毒力 的相关性。结果表明：咯菌腈对供试菌株的最低抑制浓度 (MIC) 为 0.240 0 μg/mL。敏感性频率 分布图显示，EC50 值范围在 0.002 7~0.047 0 μg/mL，敏感性差异达 17.41 倍；敏感性频率分布 为连续单峰曲线，平均 EC50 值为 (0.026 3 ± 0.010 1) μg/mL，可作为假禾谷镰刀菌对咯菌腈的敏 感性基线。方差分析结果显示，不同县市的小麦假禾谷镰刀菌对咯菌腈的敏感性差异较大， EC50 值变化范围为 0.015 0~0.033 5 μg/mL，其中咯菌腈对郑州中牟的敏感性最低和最高菌株的 EC50 值相差 16.78 倍。聚类分析结果显示，河南省小麦茎基腐病菌菌株对咯菌腈敏感性差异与 菌株的地理来源无明显关联性。多菌灵和戊唑醇对病菌的平均 EC50 值分别为 (0.788 1 ± 0.315 3) μg/mL 和 (0.088 6 ± 0.145 3) μg/mL。病菌对咯菌腈与其对多菌灵和戊唑醇的敏感性之间无明显 相关性。温室防效结果显示，用咯菌腈悬浮种衣剂对小麦进行拌种处理，2020 年 (咯菌腈有效 成分为 75.0 μg/g) 对小麦茎基腐病的防治效果可达 58.00%，2021 年 (咯菌腈有效成分为 50.0 μg/g) 的防治效果可达到 63.69%。本研究结果可为咯菌腈在小麦茎基腐病防治中的合理使用提供依 据，为病原菌对药剂的敏感性监测提供参考。 (Chinese) [ FROM AUTHOR] Copyright of Chinese Journal of Pesticide Science / Nongyaoxue Xuebao is the property of Chinese Journal of Pesticide Science 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 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 . (Copyright applies to all s.)

DIGITAL MICROFLUIDIC CHIP BASED ON DIRECT INK WRITING FOR NUCLEIC ACID MULTIPLEX PCR DETECTION

This study presents a facile route to fabricate a novel kind of digital microfluidic (DMF) chip via direct ink writing. The manufacture of this device does not rely on conventional microfabrication processes and cleanrooms, which makes it easy to prepare and low cost. By measuring the change of contact angle (CA) and droplet velocity, we proved that it could perform droplet manipulation like traditional DMF chips. In addition, after optimizing the chip structure, through a peripheral support circuit, polymerase chain reaction (PCR) reagents could be automatically partitioned and mixed on the chip. Furthermore, we realized the multi-target end-point fluorescence detection of SARS-CoV-2 RNA on this chip, showing promising potential for automatic nucleic acid tests.

COVID-19 vaccine hesitancy among low-income, racially and ethnically diverse US parents.

OBJECTIVE: Examine factors impacting U.S. parents' intention to vaccinate their children against COVID-19. METHODS: Data were collected February-May 2021 from parents living in six geographically diverse locations. The COVID-19 Exposure and Family Impact Survey assessed perceived susceptibility and severity to adverse outcomes from the pandemic. Semi-structured interviews assessed perceptions about benefits and risks of vaccinating children. RESULTS: Fifty parents of 106 children (newborn-17 years) were included; half were Spanish-speaking and half English-speaking. 62% were hesitant about vaccinating their children against COVID-19. Efficacy and safety were the main themes that emerged: some parents perceived them as benefits while others perceived them as risks to vaccination. Parent hesitancy often relied on social media, and was influenced by narrative accounts of vaccination experiences. Many cited the lower risk of negative outcomes from COVID-19 among children, when compared with adults. Some also cited inaccurate and constantly changing information about COVID-19 vaccines. CONCLUSION: Main drivers of parent hesitancy regarding child COVID-19 vaccination include perceived safety and efficacy of the vaccines and lower severity of illness in children. PRACTICE IMPLICATIONS: Many vaccine-hesitant parents may be open to vaccination in the future and welcome additional discussion and data.

How COVID-19 impacted child and family health and healthcare: a mixed-methods study incorporating family voices.

To describe how social disruptions caused by the COVID-19 pandemic impacted child access to healthcare and child health behaviors in 2020. We used mixed-methods to conduct surveys and in-depth interviews with English- and Spanish-speaking parents of young children from five geographic regions in the USA. Participants completed the COVID-19 Exposure and Family Impact Survey (CEFIS). Semistructured telephone interviews were conducted between August and October 2020. Of the 72 parents interviewed, 45.8% of participants were Hispanic, 20.8% Black (non-Hispanic), and 19.4% White (non-Hispanic). On the CEFIS, the average (SD) number of social/family disruptions reported was 10.5 (3.8) out of 25. Qualitative analysis revealed multiple levels of themes that influenced accessing healthcare during the pandemic, including two broad contextual themes: (a) lack of trustworthiness of medical system/governmental organizations, and (b) uncertainty due to lack of consistency across multiple sources of information. This context influenced two themes that shaped the social and emotional environments in which participants accessed healthcare: (a) fear and anxiety and (b) social isolation. However, the pandemic also had some positive impacts on families: over 80% indicated that the pandemic made it "a lot" or "a little" better to care for their new infants. Social and family disruptions due to COVID-19 were common. These disruptions contributed to social isolation and fear, and adversely impacted multiple aspects of child and family health and access to healthcare. Some parents of infants reported improvements in specific health domains such as parenting, possibly due to spending more time together.

Pandemic, risk-adaptation and household saving: evidence from China

Purpose - Scholars have not agreed with each other on how people would behave after experiencing a catastrophic event. They could save more as a precautionary action for future difficulties or save less with a carpe diem attitude. This study aims to attempt to shed light on this debate with empirical observations on how the Covid-19 pandemic has affected household saving decisions. Design/methodology/approach - The two waves of the survey data allowed us to investigate both instantaneous and ongoing effects of Covid-19 on household saving decisions. The instantaneous effect refers to the immediate impact of the crisis, while the ongoing effect refers to the lasting impact of the pandemic when economic recovery had started. The variation in the number of confirmed cases across cities during the two waves provides the source of power for identification. The authors extend their analyses of the impact of Covid-19 on the household saving decision by using ordinary least squares models. Due to the ordered nature of survey responses, the authors also rerun all baseline models using the ordered probit regression method. Findings - This paper studied the impact of the Covid-19 pandemic on household saving decisions in China. This study found that households in the most affected cities would save more during the Covid-19 but tend to save less when the disaster started fading away. Combining findings in Kun et al. (2013) and Filipski et al. (2015), people do become more pessimistic during and after the Covid-19, possibly driving their observed precautionary and cape diem behaviors during the two points of time. Heterogeneity analysis shows that specific households would dramatically change their saving behavior. These observations might be useful for policymakers who concern the economic recovery after this pandemic disaster. Originality/value - Understanding how the Covid-19 pandemic would affect household consumption vs saving decisions is important for the economic recovery after this disaster comes to an end. The analyses presented in this research could be useful for policymakers who concern appropriate policies aiming to boost consumption and economic activities after Covid.

Fine-scale risk assessment of COVID-19 in Wuhan based on multisource geographical data

The severe outbreak of Coronavirus disease 2019 (COVID- 19) demonstrates the importance of disease risk assessment. The existing risk assessment methods are limited by the real time and accuracy of data. Most of them take the administrative statistical unit as the analysis scale, which has modifiable areal unit problem (MAUP) . First, based on a random forest method, we integrated COVID-19 transmission data at community scale and multisource geospatial data to map COVID-19 disease outbreak risks at fine scale. The experimental results (overall accuracy = 0.85, Kappa = 0.70) indicated the feasibility of the model. Second, we built a spatial variable-infection risk model at community and place scale to assess the risk degree of epidemic spread in different places and facilities. Last, we analyzed the possibly spatial drivers of disease transmission. The results show that (1) the central area of Wuhan city has the highest risk of infection and the risk map presents a trend of decreasing from the center to the periphery;(2) The top five facilities with the highest risk of COVID- 19 infection are shopping, medical, financial, transportation and public facilities;(3) The transmission risk of the epidemic is low in primary and middle schools, but high in colleges and universities;(4) The model determines the degree of epidemic risk at the community scale and predicts that shopping and traffic places are two most significant driving factors with the epidemic outbreak. In conclusion, this study suggests a new method of disease risk assessment based on a fine scale, which can pave the way for future disease risk assessment. © 2021 Science Press. All rights reserved.

A survey on online services for children in public libraries in China under the background of public health emergencies

[Purpose/Significance] The article aims to show the situation of the online services for children in domestic libraries under the background of public health emergencies, and offer suggestions for online services for children. [Method/Process] Based on an on-line investigation of 50 Chinese public libraries during the period of libraries closed due to COVID-19, this article analyzes the online services for children during the epidemic. [Results/Conclusions] Results show that online services focus on the anti-epidemic knowledge, digital resource promotion, online story and lecture, online exhibition, online book recommendation and online interaction activities, etc. Public libraries should improve their ability of emergency management and popularize the anti-epidemic knowledge to children to reduce panic. On the basis of realizing the development of online resource sharing, public libraries need to further open up and make use of the mobile platform, introduce social forces to participate in coordination, so as to play their due role in the construction of the emergency management system for public health emergencies. © 2021 Agricultural Information Institute, Chinese Academy of Agricultural Sciences. All Rights Reserved.