Lung Cancer Detection Using Artificial Neural Network

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy

Knowledge-based Intelligent Tutoring System for Teaching Mongo Database

Recently, Intelligent Tutoring Systems (ITS) got much attention from researchers even though ITS educational technology began in the late 1960s and ITS is just embryonic from laboratories into the field. In this paper we outline an intelligent tutoring system for teaching basics of the databases system called (MDB). The MDB was built as education system by using the authoring tool (ITSB). MDB contains learning materials as a group of lessons for beginner level which include relational database system and lessons in the process to install and set up a database. MDB system has exams for each level of the Lessons. An evaluation was done to see the effectiveness the MDB among learners and instructors. The outcome of the evaluation was promising

Web Application for Generating a Standard Coordinated Documentation for CS Students’ Graduation Project in Gaza Universities

The computer science (CS) graduated students suffered from documenting their projects and specially from coordinating it. In addition, students’ supervisors faced difficulties with guiding their students to an efficient process of documenting. In this paper, we will offer a suggestion as a solution to the mentioned problems; that is an application to make the process of documenting computer science (CS) student graduation project easy and time-cost efficient. This solution will decrease the possibility of human mistakes and reduce the effort of documenting process

An Intelligent Tutoring System for Learning TOEFL

An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields. In this paper, we have an example and an evaluating are presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning

The field of machine learning (ML) has witnessed significant advancements in recent years. However, many existing algorithms lack interpretability and struggle with high-dimensional and imbalanced data. This paper proposes SPINEX, a novel similarity-based interpretable neighbor exploration algorithm designed to address these limitations. This algorithm combines ensemble learning and feature interaction analysis to achieve accurate predictions and meaningful insights by quantifying each feature's contribution to predictions and identifying interactions between features, thereby enhancing the interpretability of the algorithm. To evaluate the performance of SPINEX, extensive experiments on 59 synthetic and real datasets were conducted for both regression and classification tasks. The results demonstrate that SPINEX achieves comparative performance and, in some scenarios, may outperform commonly adopted ML algorithms. The same findings demonstrate the effectiveness and competitiveness of SPINEX, making it a promising approach for various real-world applications

3D Bioprinting In Bone And Cartilage Regeneration Review

 Bone and articular cartilage degeneration and damage are the most common causes of musculoskeletal disability. 3D bioprinting can help regenerate these structures. Autologous/allogeneic bone and cartilage transplantation, vascularized bone transplantation, autologous chondrocyte implantation, mosaicplasty, and joint replacement are all common clinical and surgical procedures. In vitro layer-by-layer printing of biological materials, living cells, and other biologically active substances using 3D bio printing technology is anticipated to replace the aforementioned repair methods. With the ability to prepare various organs and tissue structures, 3D bio printing has largely solved the issue of insufficient organ donors. Researchers use biomedical materials and cells as discrete materials. Bioprinting cell selection and its use in bone and cartilage repair are the primary topics of discussion in this paper

miRNAs and COVID-19 Therapy Review

These days, the extreme intense respiratory condition Coronavirus 2 (SARS-CoV-2) disease is recognised on the grounds that the primary cause behind mortality in people. SARS-CoV-2 is transmitted through human-to-human contact and is a symptomless in many patients. furthermore, to approved vaccines against SARS-CoV-2 infection, miRNAs may additionally be promising decisions against the current new virus. miRNAs are small and noncoding RNAs 18–25 nucleotides in length that focus on the mRNAs to degrade them or block their interpretation miRNAs go about as an observer in cells.This review in regards to evaluated the writing on the potential role of cellular miRNAs inside the SARS-CoV-2-have collaboration as a therapeutic option in COVID-19 patients

Transcranial Photobiomodulation (tPBM) Therapy in Brain Disorders

Photobiomodulation (PBM) portrays the utilization of red or near infrared light to stimulate, heal, recover, and protect tissue that has either been harmed, is degenerating, or, else likely is in risk of dying. The brain experiences various issues that can be ordered into three general groupings: traumatic (stroke, traumatic brain injury, and global ischemia), degenerative diseases (dementia, Alzheimer's and Parkinson's), and psychiatric (depression, anxiety, post- traumatic stress disorder). There is some proof that this multitude of apparently different circumstances can be advantageously impacted by applying light to the head. There is even the likelihood that PBM could be utilized for cognitive enhancement in normal healthy individuals. In this transcranial PBM (tPBM) application, near infrared (NIR) light is frequently applied to the temple in view of the better entrance (no hair, longer wavelength). A few workers have utilized lasers, yet as of late the presentation of modest light emitting diode (LED) arrays has permitted the improvement of light radiating head helmets or "brain caps". This review will cover the mechanisms of action of photobiomodulation to the brain and sum up some of the key pre-clinical studies and clinical trials that have been embraced for different brain disorders

Perinatalcovid-19: Viewpoints Review

The Covid disease 2019 (COVID-19) pandemic, coming about due to the fact of disease with severe acute respiratory syndrome Covid 2 (SARS-Co2) , has brought about severe and boundless ailment in adults, along with pregnant women, whilst not often infecting neonates. An incomplete comprehension of disease pathogenesis and viral spread has brought about growing guidelines to lessen transmission from infected mothers to neonates. The risk of neonatal infection via perinatal/neonatal transmission is low when recommended precautions are followed. Notwithstanding, the psychosocial implications of these practices and racial/ethnic disparities featured via this pandemic should likewise be tended to when actually focusing on mothers and their new-borns. This review offers an exhaustive define of neonatal–perinatal viewpoints of COVID-19, going from the basic science of disease and proposals for care of pregnant female and neonates to necessary psychosocial, moral, and racial/ethnic factors emerging due to the fact of both the pandemic and the reaction of the healthcare community  to the care of infected individuals