In recent years, germanium (Ge) based 2D material has drawn significant attention for its remarkable atomic structure, analogous to other group IV elements such as graphene and silicene. This arrangement provides high carrier mobility and a large bandgap, creating promising candidates for electronic, thermoelectric, and optoelectronic devices. Unlike graphene, germanium and its 2D derivatives can be easily tuned by chemical functionalization, which has made an extraordinary achievement in catalysis and energy storage applications. This work summarizes the fabrication of free-standing (FS) germanene sheets on different metallic, semimetallic, and semiconductive substrates, as well as their properties (mechanical and electrical). Afterward, germanane's methyl and hydrogen-terminated (functionalized) formation processes are briefly illustrated and differentiated by the properties of different topotactical deintercalation approaches. Finally, this review concludes with an outlook on the progress and critical challenges of Ge-based 2D materials based on recent developments.

Keywords: 2D material, carrier mobility, catalysis, electronic property, energy storage, cancer treatment, germanene.

Aims: In order to complete the task of land resources survey in Panzhihua Xi District, make clear the distribution of soil types in the Xi District, analyze the nutrient components of the soil in the Xi District, and enrich the content of soil science. There is no systematic classification of soils in Panzhihua Xi District, so this study will make up for this gap. Methods: In this research, the soil pH, organic matter, ammonium nitrogen, available phosphorus and effective potassium were determined by TPY-6A soil tester. Using ARCGIS, SPSS and Sigmaplot software, the original data were analyzed, and the soil type distribution sketch map, soil nutrient.........

Keywords: Soil Taxonomy, Soil Nutrients, Organic Matter, Ammonium Nitrogen, Available Phosphorus, Effective Potassium.

This research explores the application value and innovative strategies of Ruyi patterns in modern China Chic fashion design. As a typical representative of traditional Chinese auspicious patterns, Ruyi patterns contain rich cultural connotations and artistic characteristics. With their symmetrical double-spiral structure, flowing lines, and diverse forms of expression, Ruyi patterns provide abundant creative materials for China Chic fashion design. Through a systematic review of the historical development, classification features, aesthetic qualities, and cultural connotations of Ruyi patterns, this study analyzes the evolutionary trajectory.........

Keywords: Ruyi Pattern; China Chic Fashion; Traditional Culture; Pattern Application; Innovative Design.

With the comprehensive revival of Chinese culture, China Chic has been widely recognized as a unique cultural phenomenon in the field of fashion design. However, existing research has mainly focused on aspects such as cultural communication, marketing, and fashion trends, with limited studies on the application of textile technology in China Chic fashion, particularly regarding photochromic materials. Photochromic textiles, due to their ability to respond to changes in light conditions, have shown great potential in the field of smart textiles. This study reviews relevant domestic and international literature, analyzes the characteristics of photochromic materials and their application value in China.......

Keywords: Photochromic textiles; China Chic; Fashion design; Smart textiles.

The proliferation of digital data has transformed the journalism industry, offering new opportunities for journalists to access and analyze information more efficiently. However, the vast amounts of data available often require sophisticated methods to extract meaningful insights. This paper explores the application of data extraction mechanisms to e-court systems for enhancing journalistic practices. E-courts contain a wealth of legal documents, case files, judgments, and public records, which, if properly analyzed, can provide valuable insights into legal trends, case outcomes, and judicial behavior.........

Keywords: Data Extraction, E-courts, Journalism, Legal Data, Case Analysis.

This research is proposed that, with the rises of short video platforms and the growing popularity of video content on social media, entertainment and customer feedback platforms, understanding human emotions has become very crucial. Users are shift from text-based interactions to short videos, vast amounts of multimodal data are being generated. Traditional sentiment analysis methods, which rely on a single type of data, struggle to accurately interpret emotions in these videos. This research presents a new approach to sentiment analysis by combining text, audio, and visual data using deep learning techniques. We use BERT to analyze the sentiment of text, LSTM to interpret emotions in audio, and CNN to recognize facial expressions. These individual models work together to classify the overall sentiment of a video as positive, negative, or neutral which is known as a Fusion model (Multimodel). By combining these different methods, our model offers a more accurate and reliable way to understand emotions in video content. This approach can be applied to areas like social media monitoring, customer feedback analysis, and human-computer interaction, providing a deeper and more complete analysis of emotions. .

Keywords:LSTM, BERT, CNN, Machine Learning,Artificial Intelligence, Video data, Sentiment Analysis..