Browse Articles

Optimized placement and sizing of solar photovoltaic distributed generation using jellyfish search algorithm for enhanced power system performance

Abstract The strategic integration of distributed generation (DG) units into distribution power networks (DPNs) is pivotal for augmenting system efficiency and stability. This study introduces an advanced metaheuristic optimization framework leveraging the Jellyfish Search Algorithm (JSA) for the optimal placement and sizing of solar photovoltaic (PV) DG units. The formulated multi-objective function incorporates real power loss (RPL) minimization, voltage deviation index (VDI) reduction, and voltage stability index (VSI) enhancement, employing a weighted sum approach (WSA) to ensure computational rigor. The efficacy of the proposed methodology is rigorously validated on the IEEE 33-bus radial DPN under single and multiple PV system deployment scenarios. For single PV system optimized inclusion, RPL of the DPN is cut down from 210.98 kW to 102.89 kW, total VDI is reduced from 1.8047 p.u to 0.5331 p.u, and minimum VSI is increased from 0.6671 to 0.7559. For two PV DG units inclusion, RPL is reduced to 82.99 kW, total VDI is reduced to 0.6518 p.u with a least VSI improved to 0.8848. However, better result is obtained with three units of DG placement with RPL reduced to 69.59 kW, total VDI decreased to 0.3293 p.u with a least VSI of the test system increased to 0.8916. Comparative analyses against state-of-the-art metaheuristic algorithms underscore the superior convergence efficiency and optimality of JSA in addressing nonlinearity and high-dimensionality constraints. Empirical results substantiate substantial RPL reduction, bus voltage enhancement, and system stability reinforcement, establishing JSA as an avant-garde paradigm in DG optimization.

Phylogenetic analysis of the Critically Endangered Aquilaria khasiana (Thymelaeaceae) using barcode markers and chloroplast genome, with updated conservation status

Analyzing mental stress in Indian students through advanced machine learning and wearable technologies

Optimization of teaching quality of college physical education by using decision making technique under complex interval valued fermatean fuzzy model

Impact of proton-beam irradiation on the electrical reliability and performance of LTPS and a-IGZO thin-film transistors

Abstract We investigate the impact of 5 MeV proton beam irradiation on the electrical reliability of low-temperature polycrystalline silicon (LTPS) and amorphous In–Ga–Zn–O (a-IGZO) thin-film transistors (TFTs). After irradiation, the threshold voltage (V th) of a-IGZO TFTs shifted from 0.31 to − 7.87 V, while field-effect mobility (μ FE) increased from 8.4 to 11.7 cm2/V∙s due to oxygen vacancy (Vo) formation, enhancing channel conductivity. In contrast, LTPS TFTs exhibited severe degradation, with V th shifting from − 3.18 to − 33.51 V and μ FE dropping from 78.9 to 0.01 cm2/V s. Bias temperature instability tests showed significant deterioration in irradiated LTPS TFTs, whereas a-IGZO TFTs remained stable. This is attributed to the metastable a-IGZO lattice, which suppresses radiation-induced defect formation, whereas the LTPS lattice undergoes amorphization. X-ray Photoelectron Spectroscopy (XPS), and density of states (DOS) confirmed these mechanisms. Finally, we confirmed electrical performance recovery of irradiated TFTs through rapid thermal annealing (RTA) process. These findings provide insights into TFT degradation under radiation exposure and highlight the potential of a-IGZO and LTPS TFTs for radiation-hardened applications in radiography, military, aviation, and aerospace industries.

BSCL2 and CDK5 are two genes associated with circadian rhythm disturbance in Parkinson’s disease

Ensemble learning for prediction of inorganic scale formation: A case study in Oman

Deep crustal magnetotelluric imaging of continental accretion and intracontinental deformation in central Australia

Abstract Central Australia preserves a record of micro-continent and craton accretion during assembly of the Paleoproterozoic Nuna supercontinent 2500 − 1600 Ma, followed by Mesoproterozoic magmatic and orogenic events that formed the Musgrave Province. The Petermann Orogeny (630 − 520 Ma) and Alice Springs Orogeny (450 − 300 Ma) resulted in north-south crustal shortening and Moho offsets up to 20 km that yield gravity variations of ~ 160 mGals. Three-dimensional inversion of 614 long-period (10–10000 s) AusLAMP MT and 36 geomagnetic depth sounding (GDS) sites spaced ~ 55 km produced resistivity estimates to 250 km depth, covering 1500 km west-east, 1300 km north-south. From 0 to 5 km, resistivity maps the extent and thickness of Neoproterozoic Officer, Amadeus, Ngalia and Georgina Basins, and Mesozoic Eromanga basin. At all crustal depths the Arunta Province and northern Musgrave Province are resistive (> 10000 Ω.m), bounded by lower crustal conductive zones (< 10 Ω.m) to the north, east and south that align with suture zones associated with Paleoproterozoic accretion of ribbon continents. Lithospheric scale faults active in the Petermann Orogen (Woodroffe Thrust) and Alice Springs Orogen (Redbank Shear Zone) align with these low-resistivity zones, and we argue that graphite from carbon burial in Paleoproterozoic sediments reduces frictional strength and enable compressive deformation to localise strain.

Using structural equation modelling to reassess bias in judging the vault event in men’s artistic gymnastics

Potential role of avibactam in restoring susceptibility in Escherichia coli with two copies of blaKPC-3 and PBP3 mutations

Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians

Climate change is causing shifts in the spatial distribution of species and a reshuffling of the composition of multiple community types. On coral reefs, deep water can act as both refuges and refugia for corals from the combined negative effects of heat and light stress. Phenotypically plastic generalists that can tolerate both low and high light environments could be disproportionately important on future reefs, persisting in refugia and colonizing vacant shallow reefs. We performed a common garden experiment to investigate the effect of light on three different wild-collected genotypes of the abundant, depth-generalist coral Pavona varians. We measured the growth response and reaction norms of six other morphological and functional traits in full sunlight, 75%, and 90% shade. We also modeled the combined effects of light and temperature on growth. P. varians had positive growth in all three treatments, but increased both skeletal mass and 2-D colony footprint most in 90% shade, with a higher density of corallites, and a less rugose skeleton that may enhance light capture. Areas of the colony corresponding to new growth had greater fluorescence of Symbiodiniaceae communities in the darkest treatment. Light did not alter the functional lipid ratio, nor did communities of Symbiodiniaceae vary with light treatments. The model revealed additively negative, but not synergistic, effects of light and temperature on growth. This additively negative relationship in the model is consistent with the hypothesis that reductions in bleaching at depth could be the product of reduced light stress at depth rather than reduced temperature stress. Light-associated plasticity likely allows P.varians to live in a wide variety of habitats and across a broad depth gradient. In reduced light conditions, this species may mitigate some of the negative effects of bleaching temperatures on growth. We predict that P. varians is likely one of a minority of species that may benefit from deep reef refugia.

Efficacy and safety of a novel multivalent mRNA vaccine against SARS-CoV-2 in experimental animals

Potential role of TNFRSF12A in linking glioblastoma and alzheimer’s disease via shared tumour suppressor pathways

Abstract Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively studied in cancer biology. However, their roles in neurodegenerative diseases, particularly Alzheimer’s disease (AD), remain poorly understood. Recent evidence of an inverse association between cancer and AD suggests the existence of shared molecular mechanisms. We conducted an integrative analysis to identify TSGs with potential involvement in both AD and glioblastoma (GBM), using Mendelian randomization, transcriptomic profiling (bulk and single-cell RNA-seq), cell–cell communication inference, and in vitro validation. Among 1,217 TSGs screened, TNFRSF12A was consistently dysregulated in both GBM and AD datasets. Further analysis revealed its association with immune-related pathways and transcriptional programs relevant to both diseases. Knockdown of TNFRSF12A in glioma cells altered the expression of genes associated with amyloid precursor protein (APP) processing and Wnt signaling pathways. This study identifies TNFRSF12A as a cross-disease candidate gene in GBM and AD, based on transcriptomic convergence and partial functional validation. Our findings suggest that TSGs may contribute to shared molecular programs in neurodegeneration and cancer, and warrant further mechanistic investigation.

Profiles of growth mindset and grit among rural Chinese students and their associations with math anxiety, motivation, and self-efficacy

Assessment of the effect of pomegranate seed extracts on prostate cancer through cellular and animal models

Codon-deoptimized single-round infectious virus for therapeutic and vaccine applications

Robot assisted sentinel lymph node biopsy using indocyanine green combined with carbon nanoparticles staining improved detection rates in breast cancer

Development and usability evaluation of a mHealth application for prehospital triage

Halotolerant bacteria isolated from the soils of Indian mangrove ecosystem for metal removal and NPK enhancement

Computer-assisted rehabilitation system in the use of motor function recovery: A protocol for scoping review

Backgrounds Motor dysfunction, a prevalent sequela of neurological disorders such as stroke, Parkinson’s disease, and cerebral palsy, profoundly compromises patients’ capacity to perform daily activities and participate in social interactions. To address this challenge, computer-assisted rehabilitation systems (CARS) have emerged as innovative tools for facilitating motor function recovery. However, the rapid proliferation of diverse CARS modalities—encompassing novel technical approaches, interdisciplinary integrations, and heterogeneous clinical applications—has resulted in a fragmented and poorly delineated research landscape. This scoping review protocol aims to systematically map the current evidence, clarify conceptual boundaries, identify key research themes, and highlight critical knowledge gaps within the CARS field. Methods Following PRISMA-ScR guidelines, a comprehensive search across English (PubMed, Embase, Web of Science) and Chinese (CNKI, Wanfang, VIP, SinoMed) databases (inception to May 2025) will retrieve peer-reviewed studies using controlled vocabulary (MeSH: Rehabilitation/methods) and keywords (“computer-assisted rehabilitation system*”). After deduplication (EndNote X9) and manual verification, two reviewers will independently screen titles/abstracts and full texts, resolving discrepancies via third-party arbitration. Data extraction will categorize studies into study characteristics (design, population), technical specifications (sensors, AI), and clinical contexts (outcome measures, motor domains). Quantitative synthesis will map publication trends, geographic distributions, and methodological profiles using PRISMA diagrams and heatmaps. Thematic analysis will identify dominant research clusters (e.g., robotics, VR) and interdisciplinary linkages. Results will be disseminated via interactive evidence maps and narrative summaries emphasizing clinical translation. Any protocol deviations will be explicitly documented to ensure methodological transparency. Discussion This review will synthesize the heterogeneous CARS field into a structured framework, guiding future research prioritization and clinical implementation. By delineating technical innovations, clinical efficacy, and knowledge gaps, findings aim to optimize rehabilitation strategies for neurological populations. Detail of this review project can be found in Open Science Framework: https://doi.org/10.17605/OSF.IO/HXDT8.