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This review paper presents a comprehensive analysis of the mitochondrial DNA (mtDNA) of Apis mellifera, commonly referred to as the Western honey bee. The present study aims to examine the genetic diversity, population structure, and evolutionary history of a species of insect that holds economic significance. This study elucidates the genetic determinants that impact the adaptive capacity, behavioral patterns, and overall well-being of honey bees through the examination of mitochondrial DNA (mtDNA) sequences derived from diverse honey bee populations across the globe. Furthermore, this study examines the potential implications of mitochondrial DNA (mtDNA) research on various aspects of beekeeping practices, conservation initiatives, and the comprehension of honey bee biology. This paper serves as a significant asset for researchers, beekeepers, and conservationists with a keen interest in exploring the genetic characteristics of Apis mellifera

Inulin is a source of fiber that can be used as a functional food. Foods that contain inulin can help overcome health problems such as obesity, colon cancer risk, lower blood sugar levels and reduce insulin resistance. The purpose of this paper is to summarize some research results on inulin content in tubers and their extraction methods. The inulin content in dahlia, gembili, uwi, potato, sweet potato, jicama, onion and garlic tubers are 74%; 15%; 12%; 7%; 13%; 41% and 33%, respectively. Extraction methods used include ethanol:water precipitation, microwave-assisted extraction, hot water extraction and ultrasound. In the future, inulin is expected to contribute to the treatment of digestive-related diseases.

The production of alternative fuels is a promising direction in the development of energy. Nowadays, in science the technology of heat treatment of various materials, including household solid waste is used. In order to obtain an alternative type of fuel from waste, the technology of heat treatment of raw materials without access to oxygen – thermolysis is used. Under the influence of low temperatures (400–500ºС) and without access to oxygen, the material decomposes into several components: water, gas, fuel oil and dark heating oil. To ensure the correct operation of such a line, it is required to supply finely divided raw materials to form the required plug in the loading zone from raw materials. Moreover, raw material should not be homogeneous. It is known that a mixture of rubber and paper gives cleaner results during heat treatment. To ensure proper operation and obtain the desired mixed raw materials, a rotary centrifugal unit with a complex dynamic effect on the material was developed. Calculations and studies showed that such a grinder design is capable of qualitatively grinding raw materials and mixing it in the right proportions. Small dimensions and a design solution in the form of a single rotor with several mechanisms of action on the material allow reducing energy consumption for grinding. The practical value of the paper is in the creation of an improved design of a rotary centrifugal unit on the basis of theoretical and experimental studies. It increases the productivity and quality of the resulting mixture. The results of the study can be used in the industry of waste processing plants.

This paper poses the problem of fuel energy and ecology in Russia. The paper discusses in detail the operation of biogas production plants. Advantages and disadvantages of such production, material costs, and raw material costs are presented. The statistics of biofuel production in the countries of the world is visualised. The paper compares different types of propulsion systems using different fuels, identifies the advantages and disadvantages, and examines the operation of one of the largest biogas plants in the world.

The paper deals with the determination and study of the drying rate. The authors believe that it is necessary to present the curves for changing the mass of the product and time, to take into account the possible ranges of changes in the parameters of the coolant. In addition, the paper discusses the actual speeds of airflow around the product, the required drying modes will become known owing to the knowledge of the features of the drying process. In this regard, the authors of the paper consider the volumetric and hydrodynamic characteristics of the product layer. The purpose of the study was to determine the area of the free section in the layer of products, the speed of air movement, the pressure loss in the layer. The results of computational and experimental studies have shown the possibility of determining the true speed of drying of various products.

In engineering, the use of mobile robots to teach automatic control is becoming more common because of the interesting experiments that can be conducted with them. In this paper, a mobile robot that applies reinforcement learning in different scenarios is shown, to get rewards, the agent learns by acting in the environment. creating a balance between new information and our current understanding of the environment. In this way, the algorithm can be divided into two stages: the learning stage and the operational stage. In the first phase, the robot learns how to go from where it is to a known destination, it builds a learning matrix that is subsequently utilized during the operational stage using the rewards and environment data. In this paper, the algorithm was studied in terms of rapid learning for the mobile robot and reducing the process of repetition in learning by specifying the values of alpha (α) and gamma (γ) in a way that is appropriate for preserving the variance and differentiation between them. To evaluate the robot’s adaptability to various dynamic situations, several simulated test scenarios were executed. In the testing situations, several target motion kinds and numbers of obstacles with various dynamicity patterns were used. The test scenarios illustrated the robot’s adaptability to various settings.

Encryption is vital for data security, converting information into an unreadable format to ensure privacy in online communication and sensitive sectors. Advanced encryption balances innovation and security in user-friendly applications. Image encryption employs techniques to protect image data from unauthorized access during transmission or storage, particularly crucial for safeguarding sensitive images in various applications. The goal is to prevent unauthorized access and ensure the safety of associated information. In this paper, I present a study on previous research related to my investigation, which focuses on encryption in general and image encryption in particular. The paper also discusses the methods used, particularly those closely related to my work, involving either SHA-256, MD5, or a combination of both. The review will look at the many strategies and techniques employed, as well as how precisely the task was completed by applying a set of parameters in comparison to earlier studies.

Individual Home Address is considered as an important sub set of attributes, and never find personnel record, whether a person is student, patient, or employee, etc. without having a home address. It is required to be recorded, registered, and documented in all personnel information systems, whether the system is manual or computerized. This research concern on the Coding, and Digitization of home address of Iraqi personnel in order to enhancing storage efficiency and reduce processing time. The conventional method of maintaining paper-based records for personnel home addresses has proven to be costly, and timeconsuming, and in most cases inefficient. The proposed solution involves the conversion of physical addresses into digital formats, allowing for streamlined data storage and faster retrieval, and update processes. The work starting by indicate the current challenges related to the paper-based address systems, including the demands on physical storage space and the delays incurred during information retrieval. Subsequently, it explores the potential benefits of digitizing home addresses, such as reduced storage requirements, improved data accessibility, and enhanced overall organizational efficiency. To implement this digitization process, the research investigates various technological solutions, including geographic information systems (GIS), databases, and data management protocols. The study also addresses potential concerns related to data security and privacy, proposing measures to safeguard sensitive information. The proposed solution for Digitization, Coding, with Optimizing the Personnel Home Address provide at least 85% of Optimizing Factor for each individual personnel record required storage space and processing time, this solution subsequently leed to better daily decision-making process in most business organizations.

Human face recognition and tracking (FRT) plays a vital role in various fields, including security, authentication, and human-computer interaction. The main modules of the FRT system are detection, feature extraction, and FRT. Using a database, these units recognize faces as well as their location, movement, and visible features. The framework aims to process large visual data in real-time, enabling accurate and fast FRT. The paper develops a real-time FRT framework using a lightweight CNN convolutional neural network to accurately match images of faces and environments with different illumination and expression differences to improve performance. This paper focused on the development of real-time facial recognition and tracking systems. The model used to achieve this is based on deep learning (DL) using a lightweight convolutional neural network (CNN) and post-feature extraction using linear discriminant analysis (LDA). Histogram of Oriented Gradients (HOG) experiments demonstrate that DL with lightweight CNN models provides a good solution for FRT tasks, even in challenging situations including changes in position, expression, illumination, and occlusion. The results of CNN-based DL were compared with several experiments. The model was also compared with many modern methods and achieved better results. The lightweight CNN model for DL outperformed it 100% of the time. When the split rate is 70:30 and the learning rate is 0.001, the epoch is 100. This demonstrates the dominance of DL over other techniques and shows how well it handles FRT tasks using lightweight and even real-time CNN methods.

Visible Light Communications (VLC) represents a new technology of wireless communications allowing high data rate, high-speed internet access, green and friendly communication system, especially for indoor users, where the use of Light Emitting Diodes (LEDs) is growing as a viable alternative to traditional illumination. Orthogonal frequency division multiplexing (OFDM) is a promising modulation format for optical wireless communication (OWC); however, precise channel estimation is required for synchronization and equalization. Moreover, one of the challenging issues for OFDM is its high Peak-to-Average Power Ratio (PAPR) due to the superposition of all subcarriers; therefore, the system requires a high linearity and dynamic range. This paper provides a systematic overview of OFDM-based VLC systems, highlighting the essential aspects of PAPR reduction and channel estimation techniques. Several technical challenges have been addressed to realize the full potential of OFDM-based VLC technology. Moreover, we provide new insights into the over-explored and under-explored areas, which lead us to identify open research problems of VLC based on OFDM. Concisely, this paper serves as a guide and a starting point for researchers willing to research VLC using OFDM.