Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images.

Brain MR images are the most suitable method for detecting chronic nerve diseases such as brain tumors, strokes, dementia, and multiple sclerosis. They are also used as the most sensitive method in evaluating diseases of the pituitary gland, brain vessels, eye, and inner ear organs. Many medical image analysis methods based on deep learning techniques have been proposed for health monitoring and diagnosis from brain MRI images.

GAHBT: Genetic-Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain Technology.

A method for managing, securing, and validating health data distribution records using a genetic-based hashing algorithm in a decentralized environment is presented in this research report. The rationale for choosing blockchain is to secure the transaction of health data and protect these data from manipulated fraudulent movement and corruption by a contributor to the chain, or any individual. Our approach uses technology that provides an efficient surveillance measure, including transparency of records, immunity from fraud, and protection from tampering, as well as sustaining the order of data.

Application of hybrid SFLA-ACO algorithm and CAM softwares for optimization of drilling tool path problems.

Abstract: In drilling process almost seventy percent time is spent in tool switching and moving the spindle from one hole to the other. This time travel is non productive as it does not take part in actual drilling process. Therefore, this non productive time needs to be optimized.

Effects of Small Deviations in Fiber Orientation on Compressive Characteristics of Plain Concrete Cylinders Confined with FRP Laminates.

The effectiveness of concrete confinement by fiber-reinforced polymer (FRP) materials is highly influenced by the orientation of fibers in the FRP laminates. In general, acceptable deviation limit from the intended direction is given as 5° in most design guidelines, without solid bases and reasoning. In this paper, a numerical study using finite element modeling was conducted to assess the effects of small deviations in fiber orientation from the hoop direction on compressive behavior of concrete cylinders confined with FRP.

Anchoring Mechanism for Capsule Endoscope: Mechanical Design, Fabrication and Experimental Evaluation.

Capsule endoscopes are widely used to diagnose gut-related problems, but they are passive in nature and cannot actively move inside the gut. This paper details the design process and development of an anchoring mechanism and actuation system to hold a capsule in place within the small intestine. The design centres around the mechanical structure of the anchor that makes use of compliant Sarrus linkage legs, which extend to make contact with the intestine, holding the capsule in place.

An Experimental Study on Non-Destructive Evaluation of the Mechanical Characteristics of a Sustainable Concrete Incorporating Industrial Waste.

Structural materials sustainability is gaining popularity across the globe at present. Reusing natural resources, building, demolition debris, and solid waste are the most apparent tools to make construction more environmentally friendly. Traditional concrete is believed to be less durable, stronger, environmentally friendly, and socially and commercially feasible than industrial waste concrete.

Smart face shield for the monitoring of COVID-19 physiological parameters: Personal protective equipment (PPE) for health-care workers (HCW's) and COVID-19 patients.

The COVID-19 pandemic has triggered instabilities in various aspects of daily life. This includes economic, social, financial, and health crisis. In addition, the COVID-19 pandemic with the evolution of different virus strains such as delta and omicron has led to frequent global lockdowns.

A novel multi-criteria decision-making approach for prioritization of elective surgeries through formulation of "weighted MeNTS scoring system".

Background: Publicly funded healthcare system has long non-manageable elective surgery waiting lists due to the non-existence of systematic mathematical modelling that can assess the relative priority of patients on elective surgery waiting lists thus denying the provision of surgical support to the patients with higher urgency. Mostly the patients of general surgery are entertain with highly subjective "time-honoured" methods that are inadequate to measure and compare the urgency of surgical procedure.

Objective: A methodology of assigning priorities to patients on elective surgery waiting lists has been presented in this paper using weighted criteria objectives.

Social Media-Based Collaborative Learning Effects on Student Performance/Learner Performance With Moderating Role of Academic Self-Efficacy.

Social media has always been described as the channel through which knowledge is transmitted between communities, students, and learners. This social media has been utilized by university students in a way to encourage collaborative learning and social interaction. This study explores the use of social media in the process of collaborative learning among university students in China using a survey method, a total of 583 students from different universities were surveyed in this study.

Convergence Analysis of Path Planning of Multi-UAVs Using Max-Min Ant Colony Optimization Approach.

Unmanned Aerial Vehicles (UAVs) seem to be the most efficient way of achieving the intended aerial tasks, according to recent improvements. Various researchers from across the world have studied a variety of UAV formations and path planning methodologies. However, when unexpected obstacles arise during a collective flight, path planning might get complicated.

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance.

Locating a missing child or elderly person in a large gathering through face recognition in videos is still challenging because of various dynamic factors. In this paper, we present an intelligent mechanism for tracking missing persons in an unconstrained large gathering scenario of Al-Nabawi Mosque, Madinah, KSA. The proposed mechanism in this paper is unique in two aspects.

An Ensemble Approach to Predict Early-Stage Diabetes Risk Using Machine Learning: An Empirical Study.

Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and can affect various organs if left untreated. It contributes to heart disease, kidney issues, damaged nerves, damaged blood vessels, and blindness. Timely disease prediction can save precious lives and enable healthcare advisors to take care of the conditions.

Strengthening the Bridge Between Academic and the Industry Through the Academia-Industry Collaboration Plan Design Model.

The study has been undertaken to integrate two different aspects of the triple helix model: universities and the industry. Special attention has been paid to the prevailing difference between the two, hampering their working as a coherent unit. Integrating the existing knowledge in the study, we proposed the Academia-Industry Collaboration Plan (AICP) design model.

A benchmarking program to support software process improvement adaptation in a developing country, a Pakistan case.

Background: Standardization of software development processes using the software process improvement (SPI) frameworks like capability maturity model integration (CMMI) or the International Organization for Standardization (ISO) are vital for better performance and defect-free delivery of software engineering projects.

Problem: The studies from developing countries show that the organizations are unable to get the desired SPI benefits during early adaptation due to lack of benchmarking initiatives. These initiative needed bridging of the gap between major software engineering fields such as project performance, productivity, and SPI measurement metrics like effort, schedule, cost, productivity, quality, and customer satisfaction.

Relationship Between Vitamin D Status and Brain Perfusion in Neuropsychiatric Lupus.

Purpose: Neuropsychiatric manifestation of lupus (NPSLE) is related with vitamin D (vit-D) deficiency which is possibly amenable to supplementation. This study was done to explore link of serum vit-D level and clinical mini-mental state examination (MMSE) with brain perfusion SPECT (BS) in patients with NPSLE.

Methods: Patients who underwent BS with the diagnosis of NPSLE and had serum levels of vit-D and MMSE within a span of 1 month were retrospectively included.

Proactive approach for preamble detection in 5G-NR PRACH using supervised machine learning and ensemble model.

The physical random access channel (PRACH) is used in the uplink of cellular systems for initial access requests from the users. It is very hard to achieve low latency by implementing conventional methods in 5G. The performance of the system degrades when multiple users try to access the PRACH receiver with the same preamble signature, resulting in a collision of request signals and dual peak occurrence.

Modeling and prediction of KSE - 100 index closing based on news sentiments: an applications of machine learning model and ARMA (p, q) model.

The main financial markets of every country are stock exchange and consider as an imperative cause for the corporations to increase capital. The novelty of this study to explore machine learning techniques when applied to financial stock market data, and to understand how machine learning algorithms can be applied and compare the result with time series analysis to real lifetime series data and helpful for any investor. Investors are constantly reviewing past pricing history and using it to influence their future investment decisions.

Performance comparison of structured [Formula: see text] based looptune and LQR for a 4-DOF robotic manipulator.

We explore looptune, a MATLAB-based structured [Formula: see text] synthesis technique in the context of robotics. Position control of a 4 Degree of Freedom (DOF) serial robotic manipulator developed using Simulink is the problem under consideration. Three full state feedback control systems were developed, analyzed and compared for both steady-state and transient performance using the Linear Quadratic Regulator (LQR) and looptune.

Investigating the factors of enterprise social media strain: The role of enterprise social media's visibility as a moderator.

The significant effect of enterprise social media (ESM) usage has been extensively researched. However, recent studies and analysis have also emphasized the importance of understanding the negative aspects of ESM's use. By applying uses and gratifications theory (UGT), this study proposes a research model that tests how employees' ESM usage (hedonic, social, and information values) leads to ESM-related strain through perceived information overload.

Role of Social Commerce Constructs and Social Presence as Moderator on Consumers' Buying Intentions During COVID-19.

Social interactions through social commerce platforms empower consumers to share their personal experiences with others, but its role becomes more significant for societal protection during COVID-19. Numerous scholars have studied e-commerce extensively, but there is a lack of studies to identify social commerce characteristics to attract potential consumers during COVID-19. This study aims to examine the role of social commerce constructs by integrating social presence as a moderator in the model to explain consumers online shopping intentions in a Pakistani context, where lack of trust on the reliability and validity of comments from other consumers being considered the growing concern toward the success of social commerce.

The Neoepitopes on Methylglyoxal- (MG-) Glycated Fibrinogen Generate Autoimmune Response: Its Role in Diabetes, Atherosclerosis, and Diabetic Atherosclerosis Subjects.

Objectives: In diabetes mellitus, hyperglycemia-mediated nonenzymatic glycosylation of fibrinogen protein plays a crucial role in the pathogenesis of micro- and macrovascular complications especially atherosclerosis via the generation of advanced glycation end products (AGEs). Methylglyoxal (MG) induces glycation of fibrinogen, resulting in structural alterations that lead to autoimmune response via the generation of neoepitopes on protein molecules. The present study was designed to probe the prevalence of autoantibodies against MG-glycated fibrinogen (MG-Fib) in type 2 diabetes mellitus (T2DM), atherosclerosis (ATH), and diabetic atherosclerosis (T2DM-ATH) patients.

Low Shear Stress at Baseline Predicts Expansion and Aneurysm-Related Events in Patients With Abdominal Aortic Aneurysm.

Background: Low shear stress has been implicated in abdominal aortic aneurysm (AAA) expansion and clinical events. We tested the hypothesis that low shear stress in AAA at baseline is a marker of expansion rate and future aneurysm-related events.

Methods: Patients were imaged with computed tomography angiography at baseline and followed up every 6 months >24 months with ultrasound measurements of maximum diameter.

Quercetin exhibits potent antioxidant activity, restores motor and non-motor deficits induced by rotenone toxicity.

The rotenone-induced animal model of Parkinson's disease (PD) has been used to investigate the pathogenesis of PD. Oxidative stress is one of the main contributors of neurodegeneration in PD. Flavonoids have the potential to modulate neuronal function and combat various neurodegenerative diseases.

Design, analysis, and experimental investigation of micro-displacement amplification compliant mechanism for micro-transducers.

This paper presents experimental force and buckling analysis of a compliant micro-displacement amplification mechanism fabricated using the commercially available PolyMUMPs process. The proposed mechanism proficiently amplifies displacement, at two output ends, with an optimal amplification factor of 7.2.

Spectroscopic interaction studies of H2 receptor antagonists with levocetirizine.

Patients with allergic rhinitis may also suffer abdominal pain, gastritis or peptic ulcer. In this condition patient may use levocetirizine with famotidine or ranitidine. These drugs have potential to interact with another drug and form complex.