Browse Articles

Crucial role and conservation of the three [2Fe-2S] clusters in the human mitochondrial ribosome

Exploring the thermal-induced optical nonlinearity of crude oil via spatial self-phase modulation technique

Inositol phosphates dynamically enhance stability, solubility, and catalytic activity of mTOR

Research on maximum power point tracking of photovoltaic power generation based on improved hybrid optimization algorithm

The cobalamin processing enzyme of Trichoplax adhaerens

The impact of locus of control on somatic and psychological profiles of patients with irritable bowel syndrome engaging in aerobic exercise

Magnesium-dependent-protein phosphatase 1B regulates the protein arginine methyltransferase 5 through the modulation of myosin phosphatase

Changes in optic nerve head microvasculature following disc hemorrhage absorption in glaucomatous eyes

Abstract This study investigated the changes in optic nerve head (ONH) microvasculature, circumpapillary retinal nerve fiber layer (cpRNFL) thickness, and visual field (VF) sensitivity following the absorption of optic disc hemorrhage (DH). Intradisc vessel density (dVD) was calculated using a 3 × 3 mm optic disc scan in 60 eyes of 60 patients with primary open angle glaucoma and DH who had undergone two or more swept-source optical coherence tomography angiography exams. Clinical parameters at the time of DH occurrence and after absorption, as well as those between the subgroups based on DH recurrence and location, were compared. Linear regression analysis was performed to identify factors associated with changes in cpRNFL thickness in the DH-affected quadrant. Mean dVD, cpRNFL thickness, and VF sensitivity significantly decreased after DH absorption (all P < 0.05). The reduction in dVD was more pronounced in eyes with recurrent DH compared to those with a single episode (P = 0.032). Eyes with DH occurring within or at the margin of the disc cup showed a greater dVD reduction than those with DH occurring outside the disc cup (P = 0.049). The reduction in cpRNFL thickness in the DH-affected quadrant correlated with dVD reduction in the same quadrant (β = 0.370, P = 0.013) and DH recurrence (β = -2.617, P = 0.033). This finding suggests that DH pathogenesis may be associated with changes in optic disc vasculature, contributing to glaucomatous progression.

Familial Alzheimer’s disease mutations in amyloid precursor protein impair calcineurin signaling to NMDA receptors

Effect of thermal stress on the life of DC link capacitors for smart grid

Acute heat stress upregulates Akr1b3 through Nrf-2 to increase endogenous fructose leading to kidney injury

MSC-EVs and UCB-EVs promote skin wound healing and spatial transcriptome analysis

Prenylation-dependent membrane localization of a deubiquitinating enzyme and its role in regulating G protein–mediated signaling in yeast

A hybrid Prairie INFO fission naked algorithm with stagnation mechanism for the parametric estimation of solar photovoltaic systems

Abstract This paper presents a study to enhance the performance of a recently introduced naked mole-rat algorithm (NMRA), by local optima avoidance, and better exploration as well as exploitation properties. A new set of algorithms, namely Prairie dog optimization algorithm, INFO, and Fission fusion optimization algorithm (FuFiO) are included in the fundamental framework of NMRA to enhance the exploration operation. The proposed algorithm is a hybrid algorithm based on four algorithms: Prairie Dog, INFO, Fission Fusion and Naked mole-rat (PIFN) algorithm. Five new mutation operators/inertia weights are exploited to make the algorithm self-adaptive in nature. Apart from that, a new stagnation phase is added for local optima avoidance. The proposed algorithm is tested for variable population, dimension size, and efficient set of parameters is analysed to make the algorithm self-adaptive in nature. Friedman as well as Wilcoxon rank-sum tests are performed to determine the effectiveness of the PIFN algorithm. On the basis of a comparison of outcomes, the PIFN algorithm is more effective and robust than the other optimization techniques evaluated by prior researchers to address standard benchmark functions (classical benchmarks, CEC 2017, and CEC-2019) and complex engineering design challenges. Furthermore, the effectiveness as well as reliability of the PIFN algorithm is demonstrated by testing using various PV modules, namely the RTC France Solar Cell (SDM, and DDM), Photowatt-PWP201, STM6- 40/36, and STP6-120/36 module. The results obtained from the PIFN algorithm are compared with various MH algorithms reported in the existing literature. The PIFN algorithm achieved the lowest root-mean-square error value, for RTC France Solar Cell (SDM) is 7.72E−04, RTC France Solar Cell (DDM) is 7.59E−04, STP6-120/36 module is 1.44E−02, STM6-40/36 module is 1.723E−03, and Photowatt-PWP201 module is 2.06E−03, respectively. In order to enhance the accuracy of the obtained results of parameter estimation of solar photovoltaic systems, we integrated the Newton-Raphson approach with the PIFN algorithm. Experimental and statistical results further prove the significance of the PIFN algorithm with respect to other algorithms.

Redox potential tuning by calcium ions in a novel c-type cytochrome from an anammox organism

Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition

Between scents and sterols: Cyclization of labdane-related diterpenes as model systems for enzymatic control of carbocation cascades

Association between cardiometabolic index and hypertension among US adults from NHANES 1999–2020

Disorder within order: Identification of the disordered loop of STAS domain as the inhibitory domain in SLC26A9 chloride channel

Biomass production and silage quality of ensiled BRS Capiaçu elephant grass at different regrowth ages and residue heights