Variance In Frequency Research Articles

A novel satisfactory model predictive control based on current variance for high power three‐level‐NPC rectifiers

AbstractHere, a novel satisfactory model predictive control based on current variance (CV‐SMPC) is proposed for three level neutral point clamped (NPC) rectifiers. CV‐SMPC achieves global optimization of multiple control objectives rather than optimal control of a single control objective with the satisfaction interval. The current satisfaction interval is adjusted online based on the current variance in the CV‐SMPC. The relationship between the current total harmonic distortion (THD), switching frequency, and current variance is established through experimental investigation, enhancing the comprehensibility of control effects. In addition, three simplified sets of candidate vectors are proposed based on the voltage satisfaction interval, thereby reducing the computational burden. Furthermore, the control objectives are categorized into three levels and sequentially combined, eliminating the laborious process of adjusting the weighting factors. Finally, the experimental results conclusively demonstrate the exceptional control performance of CV‐SMPC in both steady‐state and dynamic processes.

Schrdinger equation for various quantum systems based on Heisenberg's uncertainty principle

This article establishes the proof of the Schrdinger equation for numerous quantum systems, utilizing Heisenberg's uncertainty principle. The Fourier transform connects functions in the time and frequency domains, resulting in the mathematical inequality that is the foundation of the uncertainty principle. In the part of Methods and Theory, the article derives the uncertainty principle through Fourier transforms by defining the mean and variance of angular frequency and time, and subsequently expanding the integral. This establishes the fundamental connection between time and frequency domains, illustrating the constraints imposed by quantum mechanics. In the part of Results and Application, the article applies the uncertainty principle to derive the Schrdinger equation under different conditions: free particle, particle in a box, harmonic oscillator, and hydrogen atom. For each case, the article assumes wave function solutions, uses the uncertainty in position and momentum to estimate kinetic and potential energies, and shows that the total energy matches the ground state energy derived from the Schrdinger equation. The results highlight the critical role of Heisenberg's uncertainty principle in understanding key aspects of quantum mechanics, providing a unified framework for these diverse systems.

Unveiling the Role of Climate and Environmental Dynamics in Shaping Forest Fire Patterns in Northern Zagros, Iran

Wildfires present a major global environmental issue, exacerbated by climate change. The Iranian Northern Zagros Forests, characterized by a Mediterranean climate, are particularly vulnerable to fires during hot, dry summers. This study investigates the impact of climate change on forest fires in these forests from 2006 to 2023. The analysis revealed significant year-to-year fluctuations, with notable fire occurrence in years 2007, 2010, 2021, and 2023. The largest burned area occurred in 2021, covering 2655.66 ha, while 2006 had the smallest burned area of 175.27 ha. Climate variables such as temperature, humidity, precipitation, wind speed, heat waves, and solar radiation were assessed for their effects on fire behavior. Strong correlations were found between higher average temperatures and larger burned areas, as well as between heat waves and increased fire frequency. Additionally, higher wind speeds were linked to larger burned areas, suggesting that increased wind speeds may enhance fire spread. Multiple linear regression models demonstrated high predictive accuracy, explaining 84% of the variance in burned areas and 69.6% in the variance in fire frequency. These findings document the growing wildfire risk in the Northern Zagros region due to climate change, highlighting the urgent need to integrate scientific research with policies to develop effective wildfire management strategies for sustainable forest management.

Autocorrelation—A Simple Diagnostic for Tropical Precipitation Variability in Global Kilometer‐Scale Climate Models

AbstractWe propose the lag‐1 autocorrelation of daily precipitation as a simple diagnostic of tropical precipitation variability in climate models. This metric generally has a relatively uniform distribution of positive values across the tropics. However, selected land regions are characterized by exceptionally low autocorrelation values. Low values correspond to the dominance of high frequency variance in precipitation, and specifically of high frequency convectively coupled equatorial waves. Consistent with previous work, we show that CMIP6 climate models overestimate the autocorrelation. Global kilometer‐scale models capture the observed autocorrelation when deep convection is explicitly simulated. When a deep convection parameterization is used, though, the autocorrelation increases over land and ocean, suggesting that land surface‐atmosphere interactions are not responsible for the changes in autocorrelation. Furthermore, the metric also tracks the accuracy of the representation of the relative importance of high frequency and low frequency convectively coupled equatorial waves in the models.

Regional Variability in MRI Scans with Different Magnetic Field Strengths in Japan: Implications for Healthcare Preparedness for Alzheimer's Disease Treatment.

(1) Background: The 2023 approval of lecanemab for early-stage Alzheimer's disease (AD) highlighted the need for routine 1.5T or 3.0T MRI scans to monitor amyloid-related imaging abnormalities (ARIAs). Regional disparities in MRI scan frequency, MRI scanner availability, and scanner magnetic field strengths could affect readiness for anti-amyloid therapy and lead to inconsistencies in ARIA detection nationwide. (2) Methods: We assessed regional variance in MRI scan frequency and field strength across Japan using the National Database (NDB) Open Data website, which summarizes Japanese public health insurance claims from the fiscal years (FYs) 2015 to 2021. We employed a mixed-effects model with prefecture-level random intercepts and slopes over time, subsequently categorizing prefectures into clusters based on MRI usage. (3) Results: 1.5T MRI was the most common magnetic field strength, remaining stable from FY2015 to FY2021. 3.0T MRI usage slightly increased, although the COVID-19 pandemic in FY2020 led to a maximum reduction of 5%. Prefecture-level variance was higher for 3.0T MRIs, with more frequent usage in western Japan. (4) Conclusions: This study highlights prefecture-level variance in MRI usage across Japan. The insights gained could be instrumental in improving healthcare preparedness for anti-amyloid treatment and patient management.

Correlation between human BDNF rs6265 gene polymorphism and type-2 diabetes and diabetic peripheral neuropathy

Background & objective: Diabetes mellitus is quite common and globally prevalent condition affecting patients’ quality of life. Patients who have type 2 diabetes mellitus (T2DM), are more likely to get diabetic peripheral neuropathy (DPN), which may affect feet, legs, hand, and arm. A BDNF gene rs6265 polymorphism in humans results in the substitution of valine with methionine at codon 66 (Val66Met). We aimed to find the possible link between human BDNF rs6265 gene polymorphism and T2DM with and without peripheral neuropathy and compare it with healthy subjects in Kirkuk City, Iraq. Methodology: One hundred subjects were chosen to participate in this research, aged from 35 to 75 y and divided into three groups: 35 DPN, 35 T2DM patients, and 30 healthy controls were selected randomly for BDNF gene rs6265 SNP screening by using conventional PCR with specific sets of primers. Products of PCR for patients and control groups were run on the gel electrophoresis to detect the SNP rs6265 fragment. A nerve-conducting study was used to examine DPN. Results: The observed results demonstrated the presence of two types of alleles identified as genotypic variants (GG and GA) among all participants in this investigation. By applying the Hardy-Weinberg Equilibrium principle (HWE) for both patient and control groups, the results proved that there was a statistically significant variance (P < 0.05) in the genotypic frequencies between each of the groups that had been studied. The wild homozygous GG genotype in type 2 diabetic without neuropathy, with DPN, and healthy control group were 51.4%, 40% and 80% respectively. The heterozygous GA genotype were 48.6%, 60% and 20%, respectively in the three groups. Conclusion: The present study showed that the BDNF (Val66Met) rs6265 polymorphism is associated with type 2 diabetes mellitus and diabetic peripheral neuropathy in heterozygous allele G/A (Met/Met) and homozygous allele GG (Val/Val) genotype. Also, the current study found the absence of the mutant genotype AA, possibly due to the evidence that the distribution of the BDNF polymorphisms varies widely among different ethnic groups. Abbreviations: BDNF - Brain-derived neurotrophic factor; DPN - Diabetic peripheral neuropathy Keywords: Type2 diabetes mellitus; Diabetic peripheral neuropathy; Brain-Derived Neurotrophic Factor; BDNF rs6265 SNP; BDNF Val66Met polymorphism. Citation: Hamid R, Al-Wasiti E, Jabbar AM. Correlation between human BDNF rs6265 gene polymorphism and type-2 diabetes and diabetic peripheral neuropathy. Anaesth. pain intensive care 2024;28(4):752−756. DOI: 10.35975/apic.v28i4.2517 Received: March 08, 2024; Reviewed: April 20, 2024; Accepted: April 28, 2024

Flow Analysis of Centrifugal Compressor using ANSYS

Abstract: The aerodynamic and structural designs of the impeller are vital to the functioning of the entire compressor stage in centrifugal compressors. In contrast to previous years, there has been a greater demand for industrial centrifugal compressors to operate with greater efficiency and operational range. Although the efficiency of low-pressure-ratio centrifugal compressors has nearly achieved its maximum, intermediate and high-pressure ratio machines still lag behind the state-of-the-art in terms of efficiency. Maintaining maximum efficiency while extending the working range is a challenging task in centrifugal compressor design. Furthermore, a single design must be usable globally due to product globalisation, even in the face of technological disparities and variances in electricity frequency of up to 10 percent in some nations. Often operating at different rotational speeds, centrifugal compressors add another layer of complexity to the impeller structural design. A full-3D impeller design that is optimised for both structural integrity and aerodynamic performance is shown in this study .For air conditioning systems of the future, centrifugal compressor performance must be improved. This research focusses on systematic numerical simulation, a computationally efficient method of optimising centrifugal compressor performance. ANSYS simulations are used in conjunction with a thorough literature review on the aerodynamic behaviour of materials used in centrifugal compressors. For the purpose of performing flow simulations under subsonic circumstances with suitable boundary conditions and grid independence checks, geometric modelling was completed using CATIAV5R22 and imported into ANSYS. Tests were conducted using various aluminium materials and mass flow rates, and enhanced efficiency findings were confirmed by comparison with experimental data. Materials Processing and Characterisations is in charge of peer review.

How Humans Run Faster: The Neuromechanical Contributions of Functional Muscle Groups to Running at Different Speeds.

How the neuromechanics of the lower limb functional muscle groups change with running speed remains to be fully elucidated, with implications for our understanding of human locomotion, conditioning, and injury prevention. This study compared the neuromechanics (ground reaction and joint kinetics, kinematics and muscle activity) of middle-distance athletes running on an instrumented treadmill at six wide-ranging speeds (2.78-8.33 m·s-1). Ground reaction forces and kinematics were analyzed using inverse dynamics to calculate flexor and extensor joint torques, and positive and negative work done by these torques. Contributions of each functional muscle group to the total positive and negative work done by the limb during stance, swing, and the whole stride were quantified. During stance, the ankle plantar flexors were the major energy generator and absorber (>60%) at all speeds, but their contribution to whole stride energy generation and absorption declined with speed. Positive work by the hip extensors rose superlinearly with speed during stance (3-fold) and especially during swing (12-fold), becoming the biggest energy generator across the whole stride at >5 m·s-1. Knee flexor and extensor negative work also rose superlinearly with speed during swing, with the knee flexors becoming the greatest energy absorber over the whole stride at >7.22 m·s-1. Across speeds, plantar flexor peak moment and positive work accounted for 97% and 96% of the variance in step length, and swing hip extension peak moment and positive work accounted for 98% and 99% of the variance in step frequency. There were pronounced speed, phase (stance/swing), and work (positive/negative) dependent contributions of the different functional muscle groups during running, with extensive implications for conditioning and injury prevention.

Research Note: Study on the in-situ preservation of pigeons based on the level of endangerment of genetic resources

The large-scale and intensive development of the meat pigeon breeding industry have resulted in the replacement of a large number of low-performance local breeds by a few breeds with excellent production performance. However, due to the characteristics of pigeon species that are monogamous, for which the W chromosome cannot be recovered and for which semen cannot be cryopreserved, the preservation of pigeon species is still mainly based on in-situ preservation. In this study, pigeons were classified into six classes of endangerment based on the criteria of the 100-year inbreeding coefficient of poultry populations in the “Assessment of Endangered Poultry Genetic Resources” (NY/T 2996-2016). The results show that when the generation interval was 1.5 years, the number of ideal populations with the same gene frequency variance or the same heterozygosity decay rate of pigeons in class 1 to 5 was ≤149, 150–204, 205–316, 317–649 and ≥650. In random-reserved breeding, when the generation interval was 1.5 years, the number of male (female) pigeons corresponding to class 1 to 5 was ≤74, 75–102, 103–157, 158–324 and ≥325. In family-equal-reserved breeding, when the generation interval was 1.5 years, the number of male (female) pigeons corresponding to class 1 to 5 was ≤36, 37–50, 51–78, 79–162 and ≥163. When the generation interval was 1.5 years, the inbreeding increments corresponding to class 1 to 5 were ≥0.00335, 0.00244–0.00334, 0.00159–0.00243, 0.00078–0.00158 and ≤0.00077; with the same population size, the inbreeding coefficient and inbreeding increment decreased with the increase of generation interval; the population effective content, inbreeding coefficient and inbreeding increment of family-equal-reserved pigeons were lower than those of random-reserved pigeons. The results of this study have certain reference value for analyzing the status quo of local and endangered species, constructing live gene banks and breeding farms of poultry genetic resources, and rescuing endangered species.

Behaviourally assessed negative urgency is uniquely associated with binge-eating frequency.

Binge eating appears to be associated with impulsivity, especially in response to negative affect (i.e., negative urgency). However, negative urgency is typically assessed via self-report, which captures only some aspects of urgency and may be subject to bias. Few studies have examined impulsivity following experimental manipulations of affect in binge-eating samples. In the present study, individuals who engage in regular binge eating completed a behavioural impulsivity (go/no-go) task with high- and low-calorie food stimuli, once following negative affect induction and once following neutral affect induction. Greater behavioural impulsivity to high-calorie food cues while in a negative (and not a neutral) affective state was associated with more frequent binge-eating behaviour. Further, this behavioural measure of negative urgency uniquely accounted for variance in binge-eating frequency when controlling for self-reported negative urgency, suggesting that behavioural measures may be a useful complement to self-report measures. These findings provide novel and compelling evidence for the relationship between negative urgency and binge eating, highlighting negative urgency as a potentially important target for intervention.

The Effect of Beauty Shop Service Quality on Revisit Intention

Purpose: The competitive environment of the beauty service industry entered into fierce competition due to factors such as the opening of the service industry and the diversification, advancement, and multi-attributes of the economy. Consumers choose a store with a wide variety of needs and thoughts, and their intention to reuse is determined by the behavior of internal customers they meet at one-on-one contact points with customers. The purpose of this study is to suggest a way to become a competitive beauty shop by providing better service to customers by confirming the relationship between service quality, customer satisfaction, and revisit intention through empirical analysis. Method: In this study, prior research and empirical research were conducted in parallel for the purpose of the study, and a research model was established based on the existing prior research. In order to verify the validity of the research model, 500 copies were finally used for empirical analysis using an online survey method centered on female users who visited domestic beauty shops (hair, skin, nail, makeup). Statistical analysis was performed using programs (SPSS 23.0, AMOS 23.0) as an analysis method, and statistical methods such as frequency analysis, cross-tabulation, factor analysis, variance analysis, and structural equations were analyzed and processed. Results: First, as a result of analyzing the difference in service quality according to age, it was found that response, empathy, materiality, and reliability factors were statistically different. Response, empathy, and reliability were high in the 40s, and materiality was high in the 20s. Second, as a result of analyzing the difference in service quality according to the most used beauty shop, it was found that there was a difference in the empathy factor. As a result of the post-hoc test, there were differences in makeup, skin care, and nail beauty, and the empathy of skin care and nail beauty was analyzed to be higher than makeup. Third, as a result of analyzing the differences in the Revisit Intention factor according to the Most used beauty shop, the Revisit Intention factor was statistically significant, and it was analyzed that the Revisit Intention of nail beauty was higher than that of makeup. Fourth, as a result of examining the extent to which service quality factors using AMOS affect overall Revisit Intention, among service quality factors, reliability has the greatest impact, and response, empathy, materiality, and professionalism do not directly affect Revisit Intention. Conclusion: Customers who visit beauty service companies today have a variety of needs, and it has become competitive to derive customer satisfaction with more delicate consideration. It can be seen that the improvement of overall ser-vice quality has a direct effect on Revisit Intention, and it was found that customers revisit due to reliability. Due to the nature of the beauty industry, which relies heavily on human resources, research on how it will affect customers' Revisit Intention is expected to provide many implications for strengthening the competitiveness of the beauty industry in the future.

Quantum-dot spin-VCSELs subject to optical injection and feedback for flexible photonic millimeter wave generation

A novel microwave and millimeter wave signal generation system is proposed and numerically demonstrated using an optically pumped quantum dot (QD) spin-polarized vertical-cavity surface-emitting laser (spin-VCSEL) with optical injection. Different from previous optical injection systems, the signal frequency in our proposed system is dominated by both the birefringence-splitting and injection detuning frequencies. By flexibly tailoring the frequency detuning and birefringence rate, the frequency ranges from a few gigahertz to nearly 150 GHz can be obtained. To evaluate the signal quality, the dynamical behaviors of the proposed system and the characteristics of the generated millimeter wave signal are evaluated including the center frequency, power, linewidth, and phase variance. We further adopt the optical feedback structure to improve the microwave and millimeter wave signal performance. Results show that the signal linewidth and phase variance can be optimized by three to four orders of magnitude. Compared to the case of a solitary QD spin-VCSEL, this work shows more stable performance, particularly in the frequency range above 90 GHz. This scheme offers an approach for high-purity microwave and millimeter sources in wireless communication and radar systems.

The different effects of a sensorimotor grounding on AoA between bilingual concepts.

Psycholinguistic studies have argued for the age of acquisition (AoA) of words as a marker of concept learning, showing that the semantic features of concepts themselves influence the age at which their labels are learned. However, empirical evidence suggests that semantic features such as imageability and linguistic phenomena such as frequency do not adequately predict AoA. The present study takes the developmental approach of embodied cognition and investigates the effects of sensorimotor experiences on the ease of acquisition of the concept acquired in bilinguals. Specifically, we investigated (1) whether the sensorimotor experience can explain AoA beyond frequency; (2) and whether these patterns are consistent across L1 Chinese and L2 English. We conducted sensorimotor rating measures in both Chinese and English on 207 items in which Chinese-English bilingual adults were requested to evaluate the extent to which they experienced concepts by employing six perceptual senses and five effectors for actions located in various regions of the body. Meanwhile, data on AoA and frequency were collected. The present study showed the sensorimotor experience was closely linked with AoAs in both languages. However, the correlation analysis revealed a trend of higher correlations between AoAs for the same concepts and L1 Chinese, relative to L2 English for the present Chinese-English bilinguals. Importantly, the hierarchical regression analysis demonstrated that after controlling for frequency, sensorimotor experience explained additional variance in L1 AoA. However, L2 sensorimotor experience did not explain the variance in L2 AoA. Sensorimotor experience explained more share of variance in L1 AoA but frequency accounted for more variance in L2 AoA. The findings suggest that concept acquisition should consider the grounding in appropriate sensorimotor experience beyond linguistic phenomena like frequency.

Spindle chirp and other sleep oscillatory features in young children with autism

ObjectivesTo determine whether spindle chirp and other sleep oscillatory features differ in young children with and without autism. MethodsAutomated processing software was used to re-assess an extant set of polysomnograms representing 121 children (91 with autism [ASD], 30 typically-developing [TD]), with an age range of 1.35–8.23 years. Spindle metrics, including chirp, and slow oscillation (SO) characteristics were compared between groups. SO and fast and slow spindle (FS, SS) interactions were also investigated. Secondary analyses were performed assessing behavioural data associations, as well as exploratory cohort comparisons to children with non-autism developmental delay (DD). ResultsPosterior FS and SS chirp was significantly more negative in ASD than TD. Both groups had comparable intra-spindle frequency range and variance. Frontal and central SO amplitude were decreased in ASD. In contrast to previous manual findings, no differences were detected in other spindle or SO metrics. The ASD group displayed a higher parietal coupling angle. No differences were observed in phase-frequency coupling. The DD group demonstrated lower FS chirp and higher coupling angle than TD. Parietal SS chirp was positively associated with full developmental quotient. ConclusionsFor the first time spindle chirp was investigated in autism and was found to be significantly more negative than in TD in this large cohort of young children. This finding strengthens previous reports of spindle and SO abnormalities in ASD. Further investigation of spindle chirp in healthy and clinical populations across development will help elucidate the significance of this difference and better understand this novel metric.

Electroencephalogram-Based Metastability in Mild Cognitive Impairment Alzheimer's Disease.

Background: In this study, we analyze metastability, a feature of brain dynamics in subjects experiencing mild cognitive impairment Alzheimer's disease (MCI-AD) under eyes open (EO) and eyes closed (EC) conditions. Alzheimer's disease (AD) is a critically prolonged brain disorder that interrupts neural synchronization and desynchronization. Thus, studying metastability under EO and EC conditions would help in understanding the cortical dynamics and its impact in early-stage AD. Methods: Metastability is investigated using three methods namely frequency variance analysis, Kuramoto order parameter, and through meta-state activation patterns. Frequency variance estimated from 21 electroencephalogram (EEG) channels was clustered into three regions namely anterior, central, and posterior to study the regional metastability analysis. Global metastability was assessed from Kuramoto order parameter and meta-state activation patterns by collating the 21 EEG channels. Results: Reduction in metastability was observed in central regions of MCI-AD subjects through the study of frequency variance analysis. There was a marked reduction in global metastability in the patient group under the resting EO condition. Reduction in meta-state activation properties such as temporal activation sequence complexity, modularity, and leap size in MCI-AD condition under the EO condition indicates an overall reduction in brain flexibility. Conclusion: Taken together, the study infers an underlying structural change in neuronal dynamics influencing the reduction of metastability under the MCI-AD condition. The study further revealed that this reduction in metastability is more pronounced in the EO condition.

Critical slowing down characteristics of acoustic emission for fracture instability of sandstone down-slope rock bridge under cyclic wetting and drying

Down-slope rock bridge in slopes and dangerous rock masses are often affected by cyclic wetting and drying, leading to severe geological disasters. In order to investigate the deterioration mechanism, deformation failure mode and instability precursor information of sandstone down-slope rock bridge under different cyclic wetting and drying, uniaxial compression tests combined with acoustic emission (AE) tests were conducted. The failure of the specimen experienced four stages. As the number of the cyclic wetting and drying increased, the specimen’s uniaxial compressive strength and elastic modulus decreased, and the failure mode transitioned from tensile to shear. Utilizing the critical slowing down theory, the variance and autocorrelation coefficient curves of AE multi-parameters were analyzed. The abrupt change of RA value, RA/AF value, and b value at the crack damage stress point and the abrupt change of the peak frequency lagging behind the crack damage stress point can be used as the precursors of instability. The instability precursor identified based on the peak frequency variance is closer to the specimen’s peak stress point and can be used for short-term failure prediction. The autocorrelation coefficient curve of AE multi-parameters aligned with the variance curve, indicating that with an increased number of cyclic wetting and drying, the instability precursor appeared earlier, leading to a larger failure prediction time interval.

An innovative fuzzy logic frequency regulation strategy for two-area power systems

Modern environmentally friendly power system designs offer several application benefits, but they also generate losses. In order for this structured power system to operate reliably, the total generation, total load demand, and system losses must be balanced. Changes in load demand disrupt both the real and reactive power balances. As a result, the system frequency and tie-line interchange power differ from their planned values. A large variance in system frequency can cause the system to crash. Multiple connected area systems use clever load frequency control techniques in this scenario to deliver dependable and high-quality frequency and tie-line power delivery. In this case, a freestanding hybrid power system is considered, with generated power and frequency intelligently managed. In addition to the unpredictability of the wind, frequent changes in the load profile can result in significant and damaging power variations. The output power of such renewable sources may fluctuate to the point where major frequency and voltage variations occur in the system. The fuzzy logic PID controller (FLPIDC) is an intelligent approach recently proposed to address the load frequency control (LFC) issue of an interconnected power system. Standard proportional integral derivative (PID) controllers operate each section of the system.

Effect of intermittent subchronic MK-801 administration on dopamine synthesis capacity and responsiveness in the prefrontal cortex.

The therapeutic potential of N-methyl-D-aspartate glutamate receptor (NMDAR) antagonists, particularly ketamine, in mood disorders, is linked to their modulation of dopamine dynamics in the medial prefrontal cortex (mPFC). However, conflicting effects of distinct NMDAR antagonists, like ketamine and phencyclidine, on mPFC dopamine levels stem from variances in their receptor affinity profiles. This study investigates the impact of intermittent subchronic administration of an NMDAR antagonist on dopamine synthesis capacity and responsiveness within the mPFC, focusing on Dizocilpine (MK-801), a highly selective NMDAR antagonist. In vivo microdialysis and high-performance liquid chromatography assessed extracellular dopamine levels in the mPFC following subchronic MK-801 treatment. Locomotor activity was measured using a computed video tracking system. Intermittent subchronic MK-801 administration, followed by a 24-h withdrawal, preserved both dopamine synthesis capacity and responsiveness to MK-801 challenge in the mPFC. However, altered locomotor activity was observed, deviating from previous findings indicating impaired dopamine synthesis and responsiveness in the mPFC with twice-daily subchronic NMDAR antagonist treatment. These findings offer crucial biochemical insights into the diverse impacts of NMDAR antagonists on dopamine dynamics and the distinct therapeutic mechanisms associated with ketamine in depression treatment. However, further investigation is imperative to pinpoint potential inconsistencies stemming from variances in drug type, dosage, or administration frequency.

Mitigation of electric vehicles impact on grid current harmonics using DERs

ABSTRACT The power quality (PQ) variations due to the introduction of electric vehicles (EVs) and Electric Vehicle Charging Stations (EVCS) into the power system network is the foremost limitation which is holding back the push for a complete overhaul of fossil fuel-based internal combustion (IC) engine vehicles by EVs. With the emergence of EVs into the mainstream in the automobile sector, this research article proposes a system wherein distributed energy resources (DERs) like Fuel-Cells (FCs) are integrated to grid in order to supply for the additional power demand created by the EVs such that the current injected from FC compensates the grid current harmonics maintain the grid current THD ≤ 5% as per IEEE519 standards. A Particle Swarm Optimized (PSO) based PI current controller and a Fuzzy-logic-based controller are proposed for a grid connected fuel cell so as to mitigate the grid current deterioration caused due to the presence of existing nonlinear loads as well as EVCS. In addition, the parameters like grid voltage distortion and frequency variance are considered simultaneously to ascertain the capability of proposed controllers. This work is carried out in the MATLAB/SIMULINK environment.

Dinucleotide biases in the genomes of prokaryotic and eukaryotic dsDNA viruses and their hosts.

The genomes of cellular organisms display CpG and TpA dinucleotide composition biases. Such biases have been poorly investigated in dsDNA viruses. Here, we show that in dsDNA virus, bacterial, and eukaryotic genomes, the representation of TpA and CpG dinucleotides is strongly dependent on genomic G + C content. Thus, the classical observed/expected ratios do not fully capture dinucleotide biases across genomes. Because a larger portion of the variance in TpA frequency was explained by G + C content, we explored which additional factors drive the distribution of CpG dinucleotides. Using the residuals of the linear regressions as a measure of dinucleotide abundance and ancestral state reconstruction across eukaryotic and prokaryotic virus trees, we identified an important role for phylogeny in driving CpG representation. Nonetheless, phylogenetic ANOVA analyses showed that few host associations also account for significant variations. Among eukaryotic viruses, most significant differences were observed between arthropod-infecting viruses and viruses that infect vertebrates or unicellular organisms. However, an effect of viral DNA methylation status (either driven by the host or by viral-encoded methyltransferases) is also likely. Among prokaryotic viruses, cyanobacteria-infecting phages resulted to be significantly CpG-depleted, whereas phages that infect bacteria in the genera Burkolderia and Staphylococcus were CpG-rich. Comparison with bacterial genomes indicated that this effect is largely driven by the general tendency for phages to resemble the host's genomic CpG content. Notably, such tendency is stronger for temperate than for lytic phages. Our data shed light into the processes that shape virus genome composition and inform manipulation strategies for biotechnological applications.