Numerous biological timing mechanisms are associated with the duration required for key regulatory molecules to reach critical threshold levels. Recent studies have mainly explored how random fluctuations affect the t...
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This study presents experimental results showing that weak, extremely low frequency electromagnetic (EM) fields influence the growth rates of HT-1080 fibrosarcoma cells in vitro and offers a theoretical explanation fo...
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Amidst the growing complexity of inverter-based power systems, the security of smart inverters is becoming increasingly critical, particularly for protecting power electronics components from counterfeit threats. Typi...
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In the Internet of Things (IoT), optimizing machine performance through data analysis and improved connectivity is pivotal. Addressing the growing need for environmentally friendly IoT solutions, we focus on "gre...
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Lack of attention is a chronic behavior in attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and other disorders that harm academic and social performance. ADHD is a disorder whose typic...
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Lack of attention is a chronic behavior in attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and other disorders that harm academic and social performance. ADHD is a disorder whose typical symptoms include inattention, hyperactivity, and impulsivity. They have a major impact on the affected person’s function and development. The electroencephalogram (EEG) device is a diagnostic tool, whereas the quantitative EEG (QEEG) device is a diagnostic and therapeutic tool for most mental disorders. QEEG applies the neurofeedback method in treatment. Neurofeedback is a technique for training brain functions and is an alternative to the traditional oral treatment of inattention disorders due to its numerous side effects. The proposed software can upgrade most EEG devices in hospitals and clinics into QEEGs capable of neurofeedback. The upgrading tools and stages are introduced in this study. The cost of upgrading an EEG device is 25 times less than the purchase price of a QEEG device. The EEG device (Open BCI) has been upgraded with MATLAB to function as a QEEG system, integrating a variety of feature extraction methods for inattention detection such as fractal dimension (FD), wavelet transform (WT), multi-resolution techniques (MR), and empirical mode decomposition (EMD) which signified a notable progress in the field. Furthermore, the implemented software is easily customizable to include any forthcoming superior techniques that may arise. Earlier research distinguished the differences between states of relaxation and concentration using a simple fixed threshold. In this paper, short training has been utilized to calculate adaptive thresholds to optimize individual effects. Different thresholding techniques were employed with the EMD_Dt technique to distinguish between focused and unfocused epochs. The adaptive threshold method results have been more accurate reaching the benchmark of 99.82%, as opposed to the fixed threshold method, which reach
Power line communication (PLC) systems enable information exchange over existing electric power grids at a low deployment cost. Such systems constitute a crucial component of smart grids. However, PLC is negatively af...
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Tuberculosis is a severe disease caused by Mycobacterium tuberculosis (MT). In handling it, the sputum examination method was used because it is relatively cheap and easy. The importance of MT detection in medical per...
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Hydrocephalus is characterized by the accumulation of excess cerebrospinal fluid(CSF)in the cranium due to an imbalance between production and absorption of *** standard treatment involves the implantation of a shunt ...
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Hydrocephalus is characterized by the accumulation of excess cerebrospinal fluid(CSF)in the cranium due to an imbalance between production and absorption of *** standard treatment involves the implantation of a shunt to divert excess CSF into the peritoneal cavity,but these shunts exhibit high failure rates over *** pursuit of improved reliability and performance,this study proposes a miniaturized valve designed to mimic the natural one-way valve function of the arachnoid granulations and thereby replace the shunts.A benchtop testing setup was employed to characterize the behavior of the fabricated ***,an animal study was conducted to assess the valve’s in vivo *** involved the injection of saline into the lateral ventricle to elevate intracranial pressure(ICP),followed by the drainage of the saline through the valve inserted into the cisterna magna(CM)to reduce *** prototype features a silicone duckbill valve design combined with a silicone tube as an *** benchtop testing,the valve exhibited unidirectional flow with negligible reverse leakage,revealing that critical parameters such as the width of the fluid channel(W)and bill length(L)could be controlled to optimize valve ***,the valve configuration with W=0.8mm and L<0.5mm achieved the lowest cracking pressure(2.22±0.07 mmHg)and outflow resistance(22.00±0.70 mmHg/mL/min)within the low cracking pressure range of conventional *** observations of the in vivo test demonstrated that when untreated states,pressure differences from baseline to peak exceeded 20 mmHg due to the absence of drainage,resulting in sustained pressure ***,upon treating states by removing the clamp,pressure differences from baseline to peak remained below 5 mmHg,indicating effective drainage of injected saline through the *** promising results highlight the potential of the miniaturized duckbill valve as an alternative for ICP management in hydr
Two types of Fe-based nanocrystalline powder composite magnetic core for tens of MHz were fabricated and applied to the planar power inductor. One was Fe-Si-B-Nb-Cu-C spherical fine powder composite magnetic core for ...
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Large language models (LLMs) have recently shown remarkable performance in a variety of natural language processing (NLP) *** further explore LLMs'reasoning abilities in solving complex problems,recent research [1...
Large language models (LLMs) have recently shown remarkable performance in a variety of natural language processing (NLP) *** further explore LLMs'reasoning abilities in solving complex problems,recent research [1-3]has investigated chain-of-thought (CoT) reasoning in complex multimodal scenarios,such as science question answering (ScienceQA) tasks [4],by fine-tuning multimodal models through human-annotated CoT ***,collected CoT rationales often miss the necessary rea-soning steps and specific expertise.
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