Chinese Science Bulletin

The present research study is related to internal control and its relationship with administrative management in the Tax Management of the Provincial Municipality of Tacna, where the analysis of the variables mentioned is carried out, the field of study is related to Public Management, since it focuses on analyzing the different tasks and activities that public institutions must perform to achieve the objectives and goals, also analyzes the different alternatives of efficient and effective solutions to address the problems presented at local, regional and national level. The main objective of

AESs, or Adaptive E-learning Systems, have become prominent instruments within the realm of education, providing learners with tailored and adaptive learning experiences. These systems use a range of technologies and methodologies to adapt and customize the delivery, pace, and support of educational content in response to the unique requirements, preferences, and achievements of individual learners. The effective use of AESs presents a significant promise in terms of enhancing learner engagement, knowledge retention, and overall learning outcomes. As the demand for personalized and adaptive le

In this paper, we introduce a novel integral operator, termed as ψ-Riemann-Liouville fractional conformable integral operator, which extends the concept of fractional conformable integration. We also present a result concerning the Hermite-Hadamard dual inequality for the class of convex functions, incorporating this newly introduced operator. Additionally, we establish an identity for differentiable functions within the scope of the aforementioned operator. Furthermore, using this identity and employing various techniques, we derive several results associated with Hermite-Hadamard type inequ

The research project aims to analyze and classify network traffic from IoT devices to detect ever-expanding and sophisticated cyber-attacks. The goal is to achieve high detection accuracy while reducing the time required detecting these attacks. The experimental study was conducted in various settings across Bangladesh over three months, beginning in January 2024 and ending in March 2024. The study proposes a lightweight malware detection framework using LSTM to classify malware into benign and hazardous categories. Python was used for data analysis. The framework uses a multi-layered distribu

A popular payment method, cryptocurrency has several risks that affect risk assessors' basic assessment. The financial industry has historically been at risk from the development of crypto-currencies due to the possibility of laundering currency. Within the realm of financial institutions, such as anti-money laundering regulations, banks, and privacy laws, risk professionals, bank executives, and law enforcement officials look into connected digital currency transactions as well as consumers hiding money laundering. The goal of the current study is to use machine learning to examine financial