Prediction of tumor metastases, occurring among cancer patients after surgery plays a vital role in the survival of cancer patients. Prediction of tumor metastases also permits to determine the efficiency of conducted after surgery prophylactic treatment. Today, oncologists expect detection of metastases of malignant neoplasms at cancer patients after operation in accordance with the exponential decrease over time of the number of cancer patients at whom metastases were detected after surgery, which is scientifically unfounded and leads to an incorrect determination of the moment of detection of metastases at cancer patient after operation, and therefore to untimely examination of a cancer patient and his preventive treatment. Predicting in statistics is carried out, using polynomial regression, where a certain relationship, called regression, with a certain accuracy between a pair of studied medical symptoms is determined, multiple linear regression, where a certain relationship, called regression, with a certain accuracy between studied symptom with multiple symptoms is determined in linear form and stepwise multiple linear regression, where a certain relationship, called regression, with a certain accuracy is determined also between studied symptom with multiple symptoms in a linear form.

The Threads App merges Twitter, Instagram, and Reddit features, redefining social media. This abstract delves into its architecture, functions, and transformative potential. It seamlessly integrates Twitter's rapid communication, Instagram's visual storytelling, and Reddit's community focus. Unique features include Communities for discussions, a voting system for content curation, and Organization-based Threads for collaboration. By combining these elements, Threads fosters diverse interactions, enriching digital engagement and community building on a groundbreaking scale.

Understanding emotions from speech is like deciphering a rich tapestry of human expression in the realm of human-computer interaction. It's akin to listening to someone's tone and inflection to discern whether they're happy, surprised, or experiencing a range of other feelings. Researchers use a variety of techniques, from analyzing speech patterns to utilizing advanced technologies like fMRI, to decode these emotional cues. Emotions aren't just simple labels; they're complex and nuanced, demanding sophisticated methods for accurate interpretation. Some methods break emotions down into simple categories, while others embrace the intricacies of human emotion, treating them as continuous variables. Ultimately, the goal is to enhance communication between humans and computers by enabling machines to understand and respond appropriately to our emotional states. This pursuit underscores the significance of emotion detection in speech analysis and highlights the need for continually evolving methodologies in human-computer interaction research.

The software development life cycle process is a crucial methodology that software developers use to create high-quality software products. In the requirements-gathering phase, the software development team works with stakeholders to define the project's objectives, scope, and requirements. The design phase involves creating the software architecture, which outlines the software's structure, components, and interactions. In the testing phase, the software is tested to ensure that it meets the requirements and functions correctly. The SDLC process plays a critical role in creating software that meets user requirements, is of high quality, and can be maintained and updated over time. By following a systematic approach, software development teams can ensure that the software they create is reliable, secure, and efficient. Overall, the SDLC process is a comprehensive methodology that software developers use to create high-quality software products. Software Development Life Cycle plays a major role in the life of a software engineer. Design thinking can be used to make the software development life cycle more powerful. This paper involves a discussion on how software development life cycle can be made powerful and used to satisfy the client's requirements.

Computer statistical modeling plays a huge role in medicine for making an accurate diagnosis and, on its basis, choosing the right method of treatment, predicting the outcome of the disease, and evaluating the effectiveness of the chosen treatment tactics. Computer-statistical modeling of the course of the disease on the example of oncology, carried out by the author on the basis of a scientific-statistical SSP package adapted to medical data (rewritten in the Turbo Basic programming language), included all the main elements of computer statistical data processing underlying computer statistical modeling with regard to communication, based on the creation of computer-aided medical-statistical models of the disease, to actively participate in the effective treatment of patients in clinical practice. Effective participation in the treatment of cancer patients was carried out through the implementation of the developed computer-statistical models of the tactics of individual planning of the examination of the patient, individualized prognosis of the course of the disease, which determine the possibility of an individual approach to observation and postoperative treatment of the patient. The paper presents the results of computer-statistical data processing using the SSP scientific-statistical software package, which became the basis of the development of a computer-statistical model of accurate interpolation prediction of the timing of the appearance of metastases in cancer patients after surgical treatment, and of evaluation of the effectiveness of preventive treatment for the appearance of metastases after surgery.

Current technologies give us the flexibility to enhance and replace-in person classes with computer-based resources, often referred to as virtual labs. Before the pandemic, offline classes used to provide a practical learning environment for students. Because of the pandemic, it is not possible to arrange labs in-person for students where they can directly interact with the faculties. Nowadays, students prefer education from home as it is safe. Students can easily perform experiments from anywhere if they have proper access to an internet connection. There are many challenges in online to the mode of learning. Virtual Labs aids in conquering those challenges to some extent. Simulation-based study of subjects like physics, chemistry, and biology helps students to understand concepts in a better way. Virtual labs can enhance and increase students ‘problem solving, deep thinking, creativity, imagination understanding, scientific process skills, laboratory skills, interest, perception, and learning outcomes. Therefore, teachers need to apply virtual labs to improve teaching quality and student learning outcomes.

Parking is an under-appreciated issue that requires considerable consideration. Here, we propose the concept of developing a parking system to lessen the need for labour. Each Android-compatible smartphone has the capacity to read QR codes and scan them to retrieve a wealth of data. Quick Response code is referred to as a QR code. Due to their uniqueness, QR codes are utilised to assign spaces in real-time. The system authorises the vehicle by scanning the code of the one that is going to enter. After scanning, a space will be assigned to the user depending on availability and empty as soon as the vehicle exits the slot. By doing so, we will essentially use less complex technology and software to decrease human labour. This system will be in charge of authorization and spot selection. An online parking system that makes use of the ESP8266. A parking system is developed, this website allows the user to check vacancy spots. The device also assists in storing the user's information in a database, allowing for quick parking access, and thereby decreasing traffic congestion. The hardware is built with an ESP8266 and an infrared sensor. Furthermore, the system is managed by a website, which allows the user to keep track of changes regarding available parking spaces. On thing speak, a scalable and accurate database may be developed and hosted on a real-time application for data storage. The technology is an ideal companion for customers who want to check parking vacancy spots from faraway areas without wasting time and avoiding traffic congestion.