Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review.

Numerous individuals encounter challenges in verbal communication due to various factors, including physical disabilities, neurological disorders, and strokes. In response to this pressing need, technology has actively pursued solutions to bridge the communication gap, recognizing the inherent difficulties faced in verbal communication, particularly in contexts where traditional methods may be inadequate. Electroencephalogram (EEG) has emerged as a primary non-invasive method for measuring brain activity, offering valuable insights from a cognitive neurodevelopmental perspective.

Advancements in automated diagnosis of autism spectrum disorder through deep learning and resting-state functional mri biomarkers: a systematic review.

Autism Spectrum Disorder(ASD) is a type of neurological disorder that is common among children. The diagnosis of this disorder at an early stage is the key to reducing its effects. The major symptoms include anxiety, lack of communication, and less social interaction.

Enhancing motor imagery EEG signal decoding through machine learning: A systematic review of recent progress.

This systematic literature review explores the intersection of neuroscience and deep learning in the context of decoding motor imagery Electroencephalogram (EEG) signals to enhance the quality of life for individuals with motor disabilities. Currently, the most used non-invasive method for measuring brain activity is the EEG, due to its high temporal resolution, user-friendliness, and safety. A Brain Computer Interface (BCI) framework can be made using these signals which can provide a new communication channel to people that are suffering from motor disabilities or other neurological disorders.

Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations.

Objectives: Dental health is integral to overall well-being, with early detection of issues critical for prevention. This research work focuses on utilizing artificial intelligence and deep learning-based object detection techniques for automated detection of common dental issues in orthopantomography x-ray images, including broken roots, periodontally compromised teeth, and the Kennedy classification of partially edentulous arches.

Methods: An orthopantomography dataset has been used to train several models employing various object detection architectures, hyperparameters, and training techniques.

Facile and ecofriendly green synthesis of CoO/MgO-SiO composites towards efficient asymmetric supercapacitor and oxygen evolution reaction applications.

The development of low-cost, eco-friendly, and earth-friendly electrode materials for energy storage and conversion applications is a highly desirable but challenging task for strengthening the existing renewable energy systems. As part of this study, orange peel extract was utilized to synthesize a magnesium oxide-silicon dioxide hybrid substrate system (MgO-SiO) for coating cobalt oxide nanostructures (CoO) hydrothermal methods. A variety of MgO-SiO compositions were used to produce CoO nanostructures.

Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN.

Respiratory disorders are commonly regarded as complex disorders to diagnose due to their multi-factorial nature, encompassing the interplay between hereditary variables, comorbidities, environmental exposures, and therapies, among other contributing factors. This study presents a Clinical Decision Support System (CDSS) for the early detection of respiratory disorders using a one-dimensional convolutional neural network (1D-CNN) model. The ICBHI 2017 Breathing Sound Database, which contains samples of different breathing sounds, was used in this research.

A Modified Johnson Cook Model-Based Kalman Filter Method to Determine the Hot Flow Behavior of Sustainable AA6082 Al Alloy.

AA6082 alloys play a significant role in advancing sustainable development goals (SDGs) by contributing to environmental sustainability, economic growth, and social well-being. These alloys are highly recyclable and align with SDG 12 by promoting resource efficiency and reducing waste. Their application in lightweight vehicles and improving energy efficiency in construction supports SDG 9 and SDG 11, as they help reduce carbon emissions and enhance the sustainability of urban environments.

Synthesis, highly potent α-glucosidase inhibition, antioxidant and molecular docking of various novel dihydropyrimidine derivatives to treat diabetes mellitus.

1,4-dihydropyrimidine-2-thiones were synthesized in five series that include 5-carboxylic acid derivatives of dihydropyrimidine (series A, 6-8), novel 5-carboxamide derivatives of dihydropyrimidine (series B, 9-14), N,S-dimethyl-dihydropyrimidine (series C, 15-20), N-hydrazinyl derivatives of dihydropyrimidine (series D, 21-24) and tetrazolo dihydropyrimidine derivatives (series E, 25-28), and evaluated for anti-diabetic capability. The prepared novel compounds were structurally established by FTIR, HNMR, CNMR, ESI and HRMS. All of these compounds from series A-E were first time examined for α-glucosidase inhibition as to evaluate their anti-diabetic potential.

A Preliminary Study on Kinetic Analysis of Ground Reaction Force and Impulse During Gait in Patients With Total Hip Replacement and Implication for Rehabilitation.

Background: There is little research done on ground reaction forces (GRF) in terms of 3D impulses after total hip replacement (THR). This study aimed to investigate the GRFs and 3D impulses in four sub-phases of stance during gait in the patients undergoing THR.

Methods: A total of 10 pain-free THR patients and 10 healthy people were recruited.

Maximizing energy efficiency in HetNets through centralized and distributed sleep strategies under QoS constraint.

This research addresses the critical need to optimize the Energy Efficiency (EE) for Ultra-Dense HetNets amid the ever-increasing demands for high-speed data networks. The rapid increase in high-speed devices highlights the urgent necessity for a transformative change in upcoming 5G cellular networks. According to Ericsson's 2022 report, mobile data traffic volume is expected to double by 2027, with mobile video traffic anticipated to rise by nearly 30% each year.

Enhanced electrochemical performance with exceptional capacitive retention in Ce-Co MOFs/TiCT nanocomposite for advanced supercapacitor applications.

This study introduces a high-performance Ce-Co MOFs/TiCT nanocomposite, synthesized via hydrothermal methods, designed to advance supercapacitor technology. The integration of Ce-Co metal-organic frameworks (MOFs) with TiCT (Mxene) yields a composite that exhibits superior electrochemical properties. Structural analyses, including X-ray Diffraction (XRD) and Scanning Electron Microscopy (SEM), confirm the successful formation of the composite, featuring well-defined rod-like Ce-Co MOFs and layered TiCT sheets.

Application of Hydrothermal Synthesized Titanium Dioxide-Doped Multiwalled Carbon Nanotubes on Filtration Properties-Response Surface Methodology Study.

The success of any drilling activity mainly depends on the characteristics of the drilling fluid. Therefore, a high-performance drilling fluid is substantial for any drilling operation. During overbalance drilling operations, the drilling mud invades the permeable formations and causes the loss of circulation, which is responsible for nonproductive time events.

Impact of hydroxypropylation coupled with extrusion treatment on the morphological, structural, and rheological properties of sorghum and corn starch.

The purpose of the present study to prepare hydroxypropyl derivatives (HP) instant (partially cold-water swell-able) starches via extrusion technique (Ex) from sorghum and corn. The native and hydroxypropylated (at propylene level 5 % and 12 %) starch extrudates were evaluated for functional, structural, thermal and rheological properties. The development of extrudates provides ease to industries as they are easily soluble in aqueous mediums and does not require any prior heating.

Compatibility and performance study of electrohydrodynamic printing using zinc oxide inkjet ink.

The demand for modern electronics and semiconductors has increased throughout the years, which has enabled the innovation and exploration of solution-processed deposition. Solution-based processes have gained a lot of interest due to the low-cost fabrication and the large fabrication areas without the need for high-vacuum equipment. In this study, we utilized the ZnO ink for inkjet printer ink to fabricate a thin film via Electrohydrodynamic printing.

Letter to editor: Clinical severity of aneurysmal subarachnoid hemorrhage over time: systematic review.

The letter to the editor titled "Clinical severity of aneurysmal subarachnoid hemorrhage over time: systematic review" provides a comprehensive and systematic examination of the changing clinical landscape of aSAH, emphasizing the importance of advancements in medical technology and treatment protocols. The review's methodological rigor ensures reliable findings, highlighting the positive trends in clinical outcomes due to improved diagnostic tools and early interventions. However, potential publication bias and the need for a more detailed analysis of specific medical innovations and regional variations are notable limitations.

Exploring the priorities of ageing populations in Pakistan, comparing views of older people in Karachi City and Thatta.

As a lower middle-income country, Pakistan faces multiple issues that influence the course of healthy ageing. Although there is some understanding of these issues and the objective health outcomes of people in Pakistan, there is less knowledge on the perceptions, experiences, and priorities of the ageing population and their caretakers (hereafter, "stakeholders"). The aim of the study was to identify the needs and priorities of older adults and stakeholders across both urban and rural locations.

Hybrid constructed wetlands and filamentous fungi for treatment of mixed sewage and industrial effluents.

Developing countries face multifaceted problems of water pollution and futile measures to combat water pollution. This study was conducted to explore the potential application of sustainable nature-based solutions, hybrid constructed wetlands, and the application of filamentous fungi to treat polluted river water that receives sewage and industrial wastewater. A pilot-scale hybrid constructed wetland design comprising two types of floating plants in distinct tanks along with a floating wetland and a free-water surface wetland connected in series was commissioned and tested.

Letter to editor: Brain tissue oxygen partial pressure monitoring and prognosis of patients with traumatic brain injury: a meta-analysis of published cases.

This critique evaluates a letter to the editor discussing the role of brain tissue oxygen partial pressure (PbtO2) monitoring in the prognosis of patients with traumatic brain injury (TBI). The meta-analysis aims to synthesize existing evidence, highlighting the potential of PbtO2 monitoring as an early indicator of cerebral hypoxia and its correlation with improved patient outcomes. Despite these promising findings, the analysis is constrained by significant methodological variability among the included studies, potential publication bias, and the practical challenges of implementing PbtO2 monitoring widely.

A comprehensive study on the impact of human hair fiber and millet husk ash on concrete properties: response surface modeling and optimization.

Revolutionizing construction, the concrete blend seamlessly integrates human hair (HH) fibers and millet husk ash (MHA) as a sustainable alternative. By repurposing human hair for enhanced tensile strength and utilizing millet husk ash to replace sand, these materials not only reduce waste but also create a durable, eco-friendly solution. This groundbreaking methodology not only adheres to established structural criteria but also advances the concepts of the circular economy, representing a significant advancement towards environmentally sustainable and resilient building practices.

Characteristics of advanced anaerobic digestion sludge-based biochar and its application for sewage sludge conditioning.

The utilization of sludge-based biochar, characterized by abundant pore structures, proves advantageous in enhancing sludge dewatering performance. In this study, advanced anaerobic digestion sludge underwent pyrolysis to produce biochar, subsequently employed for sludge conditioning. Results revealed that biochar, obtained at 800 °C, exhibited the highest specific surface area (105.

Compact rover surveying and laser scanning for BIM development.

This paper presents a custom made small rover based surveying, mapping and building information modeling solution. Majority of the commercially available mobile surveying systems are larger in size which restricts their maneuverability in the targeted indoor vicinities. Furthermore their functional cost is unaffordable for low budget projects belonging to developing markets.

Managing the low carbon transition pathways through solid waste electricity.

The potential of solid waste as an energy source is clear, owing to its wide availability and renewable properties, which provide a critical answer for energy security. This can be especially effective in reducing the environmental impact of fossil fuels. Countries that rely heavily on coal should examine alternatives such as electricity from solid waste to provide a constant energy supply while also contributing to atmospheric restoration.