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The Chinese film <i>Wolf Warrior II</i> floats all the way at the domestic box office, and jumps into the top 100 of the world's film box office rankings. It has achieved great economic success and ratings are overwhelmingly positive in China. Nevertheless, in stark contrast to this, <i>Wolf Warrior II</i> is cold at the box office abroad, and the word of mouth is not satisfactory. Transcreation is the re-creation or adaptation of content for a group of specific target audience. As an inter-related process of translation, a successful and holistic transcreation can arouse the same emotions as well as connotations produced in the target language as the source language. There are different perspectives to detailed translation analysis of China’s identity as a prominent character of contemporary society. Insofar as this research probes into the branding and in subtitle translation, it also constructs a binary theoretical model based on triadic signs of intersemiotic translation and metafunctional framework of multimodal analysis to testify China’s core values in this film and beyond.

Women must be aware of the risk factors of pregnancy complications and the negative maternal and fetal health consequences to take preventative measures and management strategies that will result in a successful pregnancy. This study aimed to assess the Level of Knowledge about obstetric warning signs and the associated factors among pregnant Saudi women attending antenatal care in a tertiary care maternity set-up in Riyadh City. Data for this cross-sectional study were obtained using a structured questionnaire from eligible pregnant women admitted to King Saud Medical City (KSMC) between August 2020 and March 2021. Data were analyzed using descriptive and inferential statistics. Out of a minimum estimated sample size of 170, researchers recruited 362 participants. As observed, only 92 people, or 25.4%, had enough knowledge about various educational levels. The majority (91.2%) lived in villages, had no history of chronic disease (74.0%), and said that it took them at least 30 minutes to commute from their home to the hospital (69.3%). Two hundred two (55.7%) lacked appropriate knowledge, although most women (76.2%) had one to four pregnancies. Poor psychological health resulted from 37 people's (10.2%) inadequate Awareness. Even though 139 (38.4%) had spent more than 15 minutes receiving education from medical staff and 200 (61.5%) had attended the prenatal care clinic more than four times, most lacked adequate knowledge. The variables education level (P=0.000), working status (P=0.022), and place of residence (P=0.044) showed a statistically significant association with the knowledge level, also only education level statistically significantly affected the likelihood of knowledge gaps. In conclusion, early identification of obstetric warning signs and associated risk factors of pregnancy complications is integral to prevention.

War is a deformation in the civilization field.

This article provides an overview of the opportunities and risks of Diversity Management. It also attempts to close the research gap that results from the interrelationship between Diversity Man-agement and the War of Talents. The thesis is that the full benefits of Diversity Management in the War of Talents can only be real-ized if an appropriate diversity strategy has been established and communicated. Through teleological and historical perspectives as well as causal research of the topics and inter-faces, research questions will be answered and research gaps will be closed. The article thus pre-sents the essential theories on the significance of Diversity Management in the War of Talents. Mutual dependencies can thus be identified in order to assess the impact of Diversity Manage-ment. The bottom line is that diversity efforts must be concentrated and qualitative. A solid strategy forms the basis for this. However, external, non-operational influences are also of decisive im-portance for successful Diversity Management.

<b>Background:</b> Food borne outbreaks have been associated with sourcing unsafe food. Therefore, the first preventative strategy should be to source safe food. Even if the sourced food is safe, measures need to be put in place to ensure that it remains safe during the transfer, storage, preparation and serving activities that follow. An understanding of the ship food supply and transfer chain will help to illustrate the points at which the food can become contaminated en route to the point of consumption. <b>Objectives:</b> The study was conducted in selected sea port in the core Niger Delta to assessed the microbiological quality of food served at different ship galley to crew and passengers and compered it to standard. <b>Methods:</b> Samples of food were taken from three (Port Harcourt Area one (PHSP), Warri (WSP) and Koko (KSP)) seaports within the South-South zone for laboratory analysis to uncover food spoilage microorganisms capable of causing disease outbreak among ship which could result to Trans border diseases. Eleven samples of different ready to eat food were collected from the locations, which included cooked rice; fried fish, irish potato porridge, vegetable soup, griki, pepper soup, fried irish potato, salad and bread were collected randomly. The samples were prepared and analyzed using standard procedures. Mean viable counts of aerobic and anaerobic bacteria were determined, ranging from (13×103cfu/g to 78×104 cfu/g) for ready to eat food. <b>Results:</b> Based on the finding KSP I, KSP J and KSP K food samples had the highest bacterial contamination on food while WSP F, WSP G and WSP H food samples had the least with the following isolates <i>Salmonella </i><i>spp</i><i>, Nocardia </i><i>spp</i><i>, Shigella </i><i>spp</i><i>, Listeria </i><i>spp</i><i>, Bacillus cereus, </i><i>Leuconostoc</i><i> </i><i>spp</i><i>, Acinetobacter </i><i>spp</i><i>, Acetobacter </i><i>spp</i><i>, campylobacter </i><i>spp</i><i>, Clostridium </i><i>spp</i> and <i>Vibrio </i><i>spp</i> which revealed that the isolates were susceptible to any of these antibiotics Septrin, Chloramphenicol, Gentamycin, Tarvid, Streptomycin, Reflacin, Augumetin, Ceporex, Nalidixic acid, Ampicillin, Ciproflox, Penicillin and Erythromycin. <b>Conclusion:</b> Thus, ships operators and regulatory body are expected to take all practicable measures to ensure that they do not receive unsafe or unsuitable food and maintain adequate food temperature at all time.

Scalable architecture principles for data warehousing are introduced to support population health management and predictive analytics. These principles are validated through the design of an accompanying Data Pipeline that allows the integration of non-traditional data sources, the use of real-time data for descriptive analytics dashboards, and support for the generation of supervised Machine Learning models. Several analytical capabilities have been implemented to exemplify the practical application of the principles, including predictive models for Risk Stratification in health care. Optimal cost-effectiveness and performance considerations ensure the practical relevance of the architectural principles and associated Data Pipeline. In recent years, the availability of Low-Cost Data Storage services and the increasing popularity of Streaming technologies opened new possibilities for the storage and processing of Streaming data on a near-real-time basis. These technologies can help Developing Countries in tackling many relevant issues such as Urban Planning, Environmental Management, Migration Policies, etc. A multi-tier approach combining Cloud-based Storage with Data Warehousing and Data Mining technologies can offer an interesting architecture to exploit Big Data related to populations.

Data warehousing is a technique for collecting, managing, and presenting data to help people analyze and use that data effectively. It involves a large database designed to support management-level staff by providing all the relevant historical data for analysis. This chapter begins with a definition of data warehousing, followed by an overview of large-scale policy management to highlight the need for data warehousing. Next, an overview of an ETL framework is presented, along with a discussion of advanced ETL techniques. The chapter concludes with an outline of performance optimization techniques for data warehousing. Data warehousing is considered a key enabler for efficient reporting and analysis, with implementation choices ranging from cost-effective desktop systems to large-scale, mission-critical data marts and warehouses containing petabytes of data. Extract, transform, and load (ETL) systems remain one of the largest cost and effort areas within data warehouse development projects, requiring significant planning and resources to build, manage, and monitor the flow of data from source systems into the data warehouse. The technology and techniques used for ETL can greatly influence the success or failure of a data warehouse. Complex business requirements for data cleansing, loading, transformation, and integration have intensified, while operational plans for real-time and near-real-time reporting add additional challenges. Parallel loading mechanisms, incremental data loading, and runtime update and insert strategies not only improve ETL performance but also optimize data warehousing performance, particularly for large-scale policy management.

The medallion architecture applied to large-scale ETL pipelines and Azure Data Lake is examined. The Azure-specific aspects of medallion architecture are deciphered for improved design, operation, and governance of ETL pipelines. Bronze-layering covers data ingestion and retention, storage organization, naming conventions, schema-on-read and schema-on-write trade-offs, and accessibility by non-technical users. The design of the silver layer focuses on cleansing, standardization, deduplication, conformance, and data enrichment. Finally, gold-layering deals with the creation of data products—curated datasets that are cataloged, ready to be consumed by visual-analysis tools, and offered through published APIs. The work centers on using medallion architecture to tackle the challenges of ETL pipelines running in Azure Data Lake. Such pipelines face increasing volumes and complexities, including new data sources, customer mandates for improved product quality, stricter regulatory requirements, and the need for customer-oriented APIs. The analysis is further filtered by success criteria expressed in data quality, observability, and monitoring för the whole medallion architecture, and data-organizational strategy for the silver and gold layers with specific focus on the definition and creation of data products.

Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide and it has been a widespread concern. Japan had some problems in psychiatric wards such as long hospital stay. The purpose of this study investigated recognition of nurses in psychiatric wards for future care. We conducted questionnaire research for psychiatric nurses and they described recognition of nursing in free description. Qualitative analysis was performed on description. Results showed that six categories were chosen like “I<b>ncrease of stress and fatigue caused of infection control</b>,” “<b>Negative effects to body and mind of patients</b>,” “<b>Effects to nursing care in psychiatric nursing</b>,” “<b>Differences of attitude toward infection control in the hospital</b>,” “<b>Cognition for social </b><b>mo</b><b>vement </b><b>related to Coronavirus</b>,” and “<b>New </b><b>awareness </b><b>by Coronavirus infection and future</b><b>.</b><b>”</b> These results suggest the following, 1) some kind of supports will be needed for nurses’ stress for infection control, 2) supports or interventions for palliate of patients stress like limitation of prolonged quarantine, limit of visiting or home stay overnight, 3) integrated leaderships to cognition and behavior for infection control in a hospital.

The global banking industry is subject to ever-growing regulatory requirements, designed to prevent financial tour de force repeats tearing through the world economy. The changes are incomplete and new rules being enacted each year. Implementing and executing these rules and regulations requires the guiding principles from senior management to reach the product desks in a clear and efficient way. Technical systems must implement these rules. Differences in interpretation, implementation, and warnings must be addressed during normal operations. Most importantly, systems must provide warning alerts to management and the business as early as possible, to allow for proper handling. History has shown that the importance of early warnings has been overlooked repeatedly. Real-time capabilities are essential to meet these business needs. Organizations must therefore be ready to embrace a next-generation architecture that enables real-time alert and warning generation. Systems based on a streaming architecture, combined with systems enabling the real-time flow of events between domains supported by orchestration, provide a solid foundation to meet these requirements.