Search Results (32)

Lactic Acid Bacteria (LAB)-derived antimicrobial compounds are recognized as a promising source of novel antimicrobial agents, particularly for the treatment of Methicillin-Resistant Staphylococcus aureus (MRSA), where the mode of action and associated cellular effects remain largely unexplored. This study aims to evaluate antibacterial activity of Limosilactobacillus fermentum YTPP05 isolated from pickled radish against MRSA. Upon the initial antibacterial evaluations, it was found that strain YTPP05 inhibited the growth of MRSA isolates. Multiplex PCR identified multiple resistance genes in our MRSA strains, including mecA, blaZ, and aacA genes, aligning with antibacterial susceptibility profiles determined by the disc diffusion assay. An agar overlay assay showed that YTPP05 possessed antibacterial potential, with the largest inhibition zone diameters of 40.83 ± 8.43 mm, while the inhibition zones of the Cell Free Supernatant (CFS) of YTPP05 by an agar well diffusion were 27.16 ± 2.93 mm against the MRSA isolates. The minimum inhibitory concentration and minimum bactericidal concentration of YTPP05-derived CFS were 125 mg/mL. Scanning Electron Microscopy (SEM) demonstrated YTPP05 extracts caused cell membrane disruption, bubble-like protrusion, and cell lysis. Collectively, this study highlights the anti-MRSA potential of YTPP05 as an alternative antimicrobial agent for combating MRSA infections. Full article

Background and Objectives: Adenomyosis is increasingly being recognized as a heterogeneous uterine disorder with variable clinical expressions. Current ultrasound-based classifications do not consistently align structural severity with symptom burden. Given its role in angiogenesis, inflammation, and endometrial remodeling, vascular endothelial growth factor (VEGF) signaling may influence both morphological features and clinical manifestations. This study evaluated the association between three VEGF polymorphisms (−2578C/A, −634G/C, −936C/T) and adenomyosis presence, ultrasound-based severity, and symptoms in infertile women undergoing in vitro fertilization (IVF). Materials and Methods: In this prospective cohort study, 85 infertile women were assessed for adenomyosis using MUSA criteria and Exacoustos grading. VEGF genotyping was performed by PCR-RFLP. Clinical data included menstrual bleeding status scores and dysmenorrhea intensity. Results: Under a dominant model, the variant genotypes (AA+CA) of the VEGF–2578C/A polymorphism −2578 A showed increased odds of adenomyosis versus CC (adjusted OR = 4.00, 95% CI: 1.48–10.84; p = 0.0037). The A allele frequency was higher in women with adenomyosis (57.14% vs. 33%), which was consistent with increased susceptibility (OR = 2.71, 95% CI: 1.44–5.09; p = 0.003). The AA + CA genotypes were more frequent with higher ultrasound-based severity (p = 0.0029; 50% vs. 72% vs. 100% across increasing severity strata); however, among women with adenomyosis, AA + CA carriers had lower odds of clinically relevant dysmenorrhea (adjusted OR = 0.18, 95% CI: 0.06–0.55; p = 0.0017), which remained significant after correction for multiple testing (adjusted p = 0.0051). No significant associations were identified for −936C/T or −634G/C across adenomyosis presence, ultrasound-based severity, number of sonographic features, dysmenorrhea, or heavy menstrual bleeding (all p > 0.05). Conclusions: These preliminary findings suggest divergent associations of VEGF −2578C/A with structural severity versus symptom expression, supporting a partial dissociation between ultrasound-defined severity and clinical phenotype in adenomyosis. Full article

Oriented object detection in remote sensing images remains a challenging task due to arbitrary target rotations, extreme scale variations, and complex backgrounds. However, current rotated detectors still face several limitations: insufficient orientation-sensitive feature representation, feature misalignment for rotated proposals, and unstable optimization of rotation parameters. To address these issues, this paper proposes an enhanced Rotation-Sensitive Feature Pyramid Network (RSFPN) framework. Building upon the effective Oriented R-CNN paradigm, we introduce three novel core components: (1) a Dynamic Adaptive Feature Pyramid Network (DAFPN) that enables bidirectional multi-scale feature fusion through semantic-guided upsampling and structure-enhanced downsampling paths; (2) an Angle-Aware Collaborative Attention (AACA) module that incorporates orientation priors to guide feature refinement; (3) a Geometrically Consistent Multi-Task Loss (GC-MTL) that unifies the regression of rotation parameters with periodic smoothing and adaptive weight mechanisms. Comprehensive experiments on the DOTA-v1.0 and HRSC2016 benchmarks show that our RSFPN achieves superior performance. It attains a state-of-the-art mAP of 77.42% on DOTA-v1.0 and 91.85% on HRSC2016, while maintaining efficient inference at 14.5 FPS, demonstrating a favorable accuracy-efficiency trade-off. Visual analysis confirms that our method produces concentrated, rotation-aware feature responses and effectively suppresses background interference. The proposed approach provides a robust solution for detecting multi-oriented objects in high-resolution remote sensing imagery, with significant practical value for urban planning, environmental monitoring, and security applications. Full article

This study examines the genomic composition and resistance potential of eight putative plasmid-derived contig assemblies reconstructed from marine Enterobacterales isolated in the central Adriatic Sea. Using a combination of Illumina-based whole genome sequencing, de novo assembly, and a multi-tool bioinformatics pipeline, we annotated antimicrobial resistance genes (ARGs), insertion sequences (ISs), and plasmid replicon types. Clinically significant resistance markers such as bla_KPC, bla_TEM, aacA4, tetA, and folP were identified, frequently co-localised with mobile genetic elements including IS110, IS4, and IS1182. The plasmid-associated contigs were assigned to MOBP and MOBQ types and contained replicon markers (IncP6, IncA/C2) characteristic of broad-host-range plasmids. Our findings provide valuable insight into the plasmidome of environmental Enterobacterales, emphasising the role of coastal pollution in shaping the distribution and potential mobility of antimicrobial resistance genes. This supports the One Health framework by linking environmental reservoirs to clinically relevant resistance mechanisms. Full article

This paper presents three simple and efficient advanced optimization algorithms, namely the best–worst–random (BWR), best–mean–random (BMR), and best–mean–worst–random (BMWR) algorithms designed to address unconstrained and constrained single- and multi-objective optimization tasks of the metal casting processes. The effectiveness of the algorithms is demonstrated through real case studies, including (i) optimization of a lost foam casting process for producing a fifth wheel coupling shell from EN-GJS-400-18 ductile iron, (ii) optimization of process parameters of die casting of A360 Al-alloy, (iii) optimization of wear rate in AA7178 alloy reinforced with nano-SiC particles fabricated via the stir-casting process, (iv) two-objectives optimization of a low-pressure casting process using a sand mold for producing A356 engine block, and (v) four-objectives optimization of a squeeze casting process for LM20 material. Results demonstrate that the proposed algorithms consistently achieve faster convergence, superior solution quality, and reduced function evaluations compared to simulation software (ProCAST, CAE, and FEA) and established metaheuristics (ABC, Rao-1, PSO, NSGA-II, and GA). For single-objective problems, BWR, BMR, and BMWR yield nearly identical solutions, whereas in multi-objective tasks, their behaviors diverge, offering well-distributed Pareto fronts and improved convergence. These findings establish BWR, BMR, and BMWR as efficient and robust optimizers, positioning them as promising decision support tools for industrial metal casting. Full article

Background: The anterior cerebral artery (ACA), a critical component of the cerebral arterial circle, exhibits substantial morphological variability. While previous studies have explored ACA morphology using cadaveric and imaging methods, a comprehensive meta-analysis incorporating the latest evidence is lacking. Methods: Following current guidelines, a systematic review and meta-analysis were performed across four major databases, supplemented by the gray literature and targeted journal searches. Ninety-nine studies, encompassing 85,316 patients, met the inclusion criteria. Statistical analyses were conducted using R, applying random effects models to estimate pooled prevalence and morphometric parameters. Results: The pooled prevalence of typical ACA morphology was 93.75%, whereas variants were noted in 6.25% of cases. The predominant variation identified was the accessory ACA (aACA) (1.99%), followed by unilateral absence of the A1 segment (1.78%), with the latter being more frequently recognized in imaging studies (p < 0.0001). Rare variants encompassed azygos ACA (azACA) (0.22%), fenestrated ACA (fACA) (0.02%), and bihemispheric ACA (bACA) (0.02%). The mean diameter and length of the A1 segment were measured at 2.10 mm and 14.24 mm, respectively. Hypoplasia of the A1 segment (<1 mm diameter) was recorded in 3.15% of cases. The influences of imaging modality, laterality, and population distribution on prevalence estimates were minimal. No significant publication bias was detected. Conclusions: Although infrequent, variants of the ACA possess significant clinical importance attributable to their correlation with aneurysm formation and the impairment of collateral circulation. The aACA and the absence of the A1 segment emerged as the most common variations. This meta-analysis presents an updated and high-quality synthesis of ACA morphology, serving as a valuable reference for clinicians and anatomists. Full article

The formation of hot tearing during direct chill casting of aluminum alloys, specifically AA6111, is a significant challenge in the production of ingots for industrial applications. This study investigates the role of hydrostatic pressure and tensile stress in the formation of hot tearing during direct chill casting of rectangular ingots. Combining experimental results and finite element modeling with ABAQUS/CAE 2022, the mechanical behavior of the semi-solid AA6111 alloy was analyzed under different cooling conditions. “Hot” (low water flow) and “Cold” (high water flow) conditions were the two types of cooling conditions that produced cracked and sound ingots, respectively. The outcomes indicate that high tensile stress and localized negative hydrostatic pressure in the hot condition are the main factors promoting the initiation and propagation of cracks in the mushy zone, whereas the improvement of the cooling conditions reduces these defects. Full article

The simplest cyclo-peptides, also known as diketopiperazines (DKPs), are widespread in nature. The growing interest in these simplest cyclo-peptides is driven by their significant potential for therapeutic applications. In this study, we identified a biosynthetic gene cluster from Aspergillus aculeatus CRI323-04 through genome mining and heterologous expression in Aspergillus nidulans. The two core genes, aacA and aacB, within the gene cluster were characterized for their role in the biossoynthesis of aspkyncin, a novel DKP compound that incorporates a l-kynurenine (l-Kyn) unit. Furthermore, we successfully reconstituted the activities of the minimal bimodular non-ribosomal peptide synthetase (NRPS) AacA and the methyltransferase AacB both in vivo and in vitro. Our findings demonstrate that AacA catalyzes the condensation and cyclization of two non-proteinogenic amino acids, l-Kyn and N-methyl-l-alanine, to produce aspkyncin without the involvement of any release domain. Notably, the N-methyl-l-alanine is generated by a specialized l-alanine N-methyltransferase AacB prior to NRP assembly. This study reveals an unconventional pathway for the biosynthesis of fungal DKPs. Full article

Paclobutrazol (PAC) is a significant inhibitor of gibberellin biosynthesis that profoundly influences grape seed development (GSD) through the modulation of key molecular pathways. Here, we identified 6659 differentially expressed genes (DEGs) in GSD under PAC treatment, with 3601 up-regulated and 3058 down-regulated. An analysis of hormone-associated DEGs revealed that auxin-related genes (16) were the most up-regulated, followed by genes associated with brassinosteroid and ABA. In contrast, cytokinin- and gibberellin-related genes exhibited a suppressive response. PAC treatment also triggered extensive reprogramming of metabolic pathways, including 44 genes involved in starch and sucrose metabolism (24 up-regulated, 20 down-regulated), 101 cell wall-related genes (53 up-regulated, 48 down-regulated), and 110 transcription factors (77 up-regulated, 33 down-regulated). A cis-element analysis of the promoters of 76 hormone-responsive genes identified 14 types of hormone-responsive cis-elements, with ABRE being the most prevalent. Genes responsible for inactivating active hormones, such as ABA-VvPP2CA, IAA-VvGH3.1, and CK-VvARR9-1, were also identified. Concurrently, PAC negatively regulated hormone-active genes, including BR-VvXTH25, SA-VvTGA21-3, and JA-VvTIFY3B, leading to reduced levels of these hormones. PAC modulates GSD by mediating the dynamic balance of multi-hormone accumulations. Furthermore, development-related cis-elements such as the AACA-motif, AAGAA-motif, AC-I, AC-II, O2-site, as-1, CAT-box, CCAAT-box, circadian, GCN4-motif, RY-element, HD-Zip 1, HD-Zip 3, MSA-like, MYB-like sequence, MYB-binding site, and MYB recognition site, were found in key DEGs involved in starch and sucrose metabolism, cell wall remodeling, and epigenetic regulation. This indicates that these pathways are responsive to PAC modulation during GSD. Finally, we developed a comprehensive regulatory network to illustrate the PAC-mediated pathways involved in GSD. This network integrates multi-hormonal signaling, cell wall remodeling, epigenetic regulation, and transcription factors, highlighting PAC’s pivotal role in GSD. Our findings provide new insights into the complex mechanisms underlying PAC’s effects on grapevine development. Full article

Integrated energy systems (IESs) have been implemented with the objective of enhancing the efficiency of energy utilization and facilitating the sustainable transition of society and energy systems. To further explore the multi-energy coupling capacity and carbon reduction potential of the IESs, this study presents the design of an integrated cold-electricity-heat energy system (ICEHS) with advanced adiabatic compressed air energy storage (AA-CAES). AA-CAES has the capacity to not only store and release electric energy, but also to provide cold and heat energy, which makes it an ideal choice for this application. The main work of this study is fourfold: (1) the energy hub concept is employed to describe the energy transformations within AA-CAES, thereby reducing the modeling complexity; (2) integrated demand response (IDR) for cooling, heating, and electric loads, including shiftable loads, adjustable loads, interruptible loads, and replaceable loads, is considered; (3) Latin hypercubic sampling in conjunction with K-means clustering is employed to address the issue of source-load uncertainty; and (4) an ICEHS operation optimization model is developed with the objective of minimizing the daily operating cost, where the possible cost terms include energy purchase cost, operation and maintenance cost, demand response cost, and carbon emission cost. A typical community integrated energy system is employed as an illustrative example, and four different scenarios are established to validate the effectiveness of the proposed model. The results indicate that AA-CAES and IDR can effectively reduce the daily operating cost and carbon emissions of an ICEHS. In comparison to the scenario that did not incorporate AA-CAES and IDR, the daily operating cost and carbon emissions are reduced by 4.8% and 10.3%, respectively. Full article

Lithium-ion battery recycling includes discharging and processing exhausted batteries to recover valuable metals for reuse in new battery production. The improper disposal of e-waste draws attention to the possibility of reprocessing used lithium-ion batteries to make progress in recovering valuable metals. In this study, using biodegradable mixed organic acids, valuable metals were extracted from used batteries by a hydrometallurgical process under optimal conditions such as a stirring speed of 200 rpm, mixed acid concentration of ascorbic acid/citric acid (AA/CA) of 50:50 mM, temperature of 50 °C, time of 50 min, and slurry density of 20 g/L. Kinetic studies verified that the apparent activation energies, 43.6, 70.5, 49.8, 60.6, 45, and 6 kJ/mol, and surface chemical reactions controlled the leaching process for Li, Mn, Co, Ni, and Cu from cathode powder obtained from used LIBs. XRD and FT-IR confirmed the crystalline nature of the cathode powder. UV–visible spectra showed a Co(II) complex with λ_max at 380 nm by reduction of the Co(III) complex. Lithium was recovered by LiF and as MnO₂ using ammonium persulfate. Our efforts aimed to recover it through an economical and environmentally friendly approach. Full article

Drug-resistant Morganella morganii, a rod-shaped, Gram-negative, facultatively anaerobic bacillus belonging to the Enterobacteriaceae family, is a growing worldwide health concern due to its association with high morbidity and mortality rates. Recent advancements in machine learning, particularly Alphafold 2’s protein structure prediction using local physics and pattern recognition, have aided research efforts. This study focuses on the enzymatic activity of aminoglycoside N6′-acetyltransferase (aacA7), a critical transferase enzyme in bacteria that confers resistance to aminoglycosides. AacA7 modifies aminoglycoside molecules by catalyzing the acetylation of their 6′-amino group using acetyl-CoA, rendering antibiotics like kanamycin, neomycin, tobramycin, and amikacin inactive. We propose that Doripenem and OncoglabrinolC can interact with aacA7, potentially modifying its enzymatic activity. Molecular docking analysis of aacA7 with 22 drug targets revealed OncoglabrinolC as the most promising candidate, exhibiting a binding energy of −12.82 kcal/mol. These two top candidates, OncoglabrinolC and Doripenem, were then subjected to 100 ns of molecular dynamic simulations to assess their dynamic conformational features. Furthermore, the PredictSNP consensus classifier was used to predict the impact of mutations on aacA7 protein functionality. The study also investigated the interaction of wild-type and mutant aacA7 proteins with both Doripenem and OncoglabrinolC. These findings provide valuable insights into the binding behavior of OncoglabrinolC and Doripenem as potential lead molecules for repurposing against aacA7, potentially reducing the pathogenicity of Morganella morganii. Full article

1-deoxy-D-xylulose-5-phosphate synthase (DXS) is a rate-limiting enzyme in terpene synthesis that can affect the accumulation of secondary metabolites in plants. In this study, three DXS gene family members were identified in the tomato genome-wide database. Using bioinformatics methods, we analyzed the gene structure, evolutionary affinities, and cis-acting elements of the SlDXS gene family members. Promoters of SlDXS genes contain plant hormone-responsive elements such as the CGTCA-motif, TGACG-motif, ABRE, TCA-element, TGA-element, ERE, CAT-box, and AACA-motif, which suggested that the SlDXS gene family may play an important role in hormone response. The RT-qPCR analysis showed that the tomato DXS2 gene was able to respond upon exposure to methyl jasmonate (MeJA). The construction of a virus-induced gene silencing (VIGS) vector for the SlDXS gene showed that the SlDXS2 gene was also able to respond to MeJA in silenced plants, but the induction level was lower relative to that of wild-type plants. The SlDXS1 gene is associated with the synthesis of photosynthetic pigments. This study provides a reference for the further elucidation of the DXS gene’s biological function in the terpenoid synthesis pathway in tomatoes. Full article

This case series presents two cases of acute acalculous cholecystitis (AAC)—a rare condition—in young women with central nervous system (CNS) lesions. Both patients had significant neurologic deficits and no well-known risk factors or presence of comorbidities (such as diabetes or a history of cardiovascular or cerebrovascular disease). Early diagnosis is important in cases of AAC owing to its high mortality rate; however, due to neurological deficits in our cases, accurate medical and physical examinations were limited, thereby leading to a delay in the diagnosis. The first case was of a 33-year-old woman with multiple fractures and hypovolemic shock due to a traumatic accident; she was diagnosed with hypoxic brain injury. The second case was of a 32-year-old woman with bipolar disorder and early-onset cerebellar ataxia who developed symptoms of impaired cognition and psychosis; she was later diagnosed with autoimmune encephalopathy. In the first case, the duration between symptom onset and diagnosis was 1 day, but in the second case, it was 4 days from diagnosis based on the occurrence of high fever. We emphasize that if a young woman presents with high fever, the possibility of AAC should be considered, particularly if a CNS lesion is present because it may pose difficulty in the evaluation of typical symptoms of AAC. Careful attention is thus required in such cases. Full article

Direct-current (DC) microgrids have gained worldwide attention in recent decades due to their high system efficiency and simple control. In a self-sufficient energy system, voltage control is an important key to dealing with upcoming challenges of renewable energy integration into DC microgrids, and thus energy storage systems (ESSs) are often employed to suppress the power fluctuation and ensure the voltage stability. In this paper, the performances of three voltage control strategies for DC microgrids are compared, including the proportion integration (PI) control, the fuzzy PI control and particle swarm optimization (PSO) PI control. Particularly, two kinds of ESSs including battery and advanced adiabatic compressed air energy storage (AA-CAES) with different operational characteristics are installed in the microgrid, and their impacts on voltage control are investigated. The control performances are comprehensively compared under different control schemes, various scenarios of renewable energy fluctuations, participation in the control of the two ESSs or not, and different fault conditions. Additionally, the dynamic performances of the ESSs are exhibited. The results verify the validity of the control schemes and the feasibility of the configuration of the ESSs into the DC microgrid. Full article