Search Results (41,305)

Although adding phosphorus (P) and zinc (Zn) fertilizers to rhizobial inoculation improves nutrient accumulation in chickpeas, it is unclear which is most effective. This study evaluated whether inoculating chickpeas grown in silty-loam or silty-clay-loam soil with liquid- or peat-based rhizobial inoculants, in addition to P and/or Zn fertilizer, alters shoot nutrient concentration. The following genotypes were used: ICCV3110, ICCV8101, ICCV97024 and ICCV92944. The following levels of fertilizer were used: no addition of fertilizer, 10 kg/ha Zn, 40 kg/ha P, and Zn plus P. The following combinations of fertilizer and rhizobial inoculation were used: Zn plus P (peat-based inoculant), denoted as Zn + P + R_P, and Zn plus P (liquid-based inoculant), denoted as Zn + P + R_L. Our results showed that ICCV97024 exhibited increased shoot P, Ca, Mg, Fe and Zn concentrations when grown in silty-loam soil and increased shoot Ca, Zn, Mn and B concentrations when grown in silty-clay-loam soil. Adding P, or P plus Zn, increased shoot P, while adding Zn, or Zn plus P + R_L, enhanced shoot P, Fe and B. Adding Zn increased shoot Zn, K and Ca, and adding Zn plus P + RP increased shoot Ca. Overall, chickpeas grown in silty-loam soil accumulated the most nutrients. Adding P, P plus Zn and Zn + P + R_L improved shoot P, while adding Zn and Zn + P + R_P enhanced shoot Zn and Ca, respectively. Full article

To address the emerging multidrug-resistance crisis caused by Klebsiella pneumoniae, we expressed the endolysin Lys59 derived from phage VB_KpP_HS106 and performed a comprehensive analysis of its antibacterial activity and structural features. Molecular modeling revealed that Lys59 carries a highly positively charged N-terminus and an amphipathic helix at the C-terminus. In vitro antibacterial assays showed that Lys59 exhibited significant bactericidal activity against K. pneumoniae with an approximately 4 log reduction at 50 µg/mL in 2 h. Meanwhile, Lys59 exhibited potent, broad-spectrum activity against both Gram-negative and Gram-positive bacteria. Stability analysis indicated that Lys59 retained high activity over a pH range of 3–9 and a temperature range of 4–55 °C. Notably, the antibacterial activity of Lys59 was found to be regulated by metal ions. Molecular docking indicated that K⁺ can enhance binding stability by interacting with ASN35 and VAL57. In contrast, Mg²⁺ and Ca²⁺ suppressed catalytic function by binding to the essential GLU17 residue. Furthermore, treatment with 200 µg/mL of Lys59 resulted in a 44.6% reduction in K. pneumoniae biofilm biomass. Overall, this study identified a phage-derived endolysin with broad-spectrum antimicrobial activity and demonstrated its potential as an antibacterial agent against multidrug-resistant K. pneumoniae. Full article

Background: Carbonic Anhydrases (CAs) represent regulators of cell adaptation to hypoxia, pH regulation, and metabolic fitness. Among cancers, multiple myeloma (MM) is a plasma cell malignancy sustained by hypoxia-driven metabolic adaptation, extracellular acidification, and redox imbalance. Tight regulation of tumor extracellular pH, mediated by Carbonic Anhydrases IX and XII, is crucial for myeloma survival, progression, and stemness, making these isoforms attractive therapeutic targets. Methods: We designed and synthesized a library of terpenoid-based hybrids by derivatizing chlorothymol and 4-isopropyl-3-methylphenol with either the natural coumarin umbelliferon or the 2,2′-dipicolylamine (DPA) scaffold. This chemical strategy aimed to selectively inhibit tumor-associated CAs IX/XII through coumarin- or DPA-mediated recognition, while terpenoid fragments were introduced to enhance lipophilicity, membrane permeability, and potential redox-modulating properties. The compounds were tested by a Stopped-Flow assay for CA inhibition, in cell-based assays for antiproliferative properties and by means of several antioxidant assays. Results: The most active compounds, connecting the coumarin core to a terpenoid tail, inhibited the targeted CAs in the nanomolar range, showing up higher selectivity over off-target isoforms (I and II). In studies performed on MM cell lines, selected derivatives reduced viability (IC₅₀ = 15.8–85.4 µM) and displayed favorable selectivity over normal cells. In silico investigations suggested that the compounds were able to interact selectively with the target enzymes. Conclusions: Collectively, these results support a dual-targeting strategy in which selective inhibition of tumor-associated CAs, combined with redox modulation, interferes with adaptive mechanisms of MM cells, providing a rational framework for the development of multifunctional agents against metabolically resilient hematological malignancies. Full article

Accurate flood simulation in regulated, low-lying river basins is crucial for forecasting and risk mitigation, but performance depends strongly on whether models represent floodplain hydrodynamics and human regulation. This study evaluates three coupled hydrological–hydrodynamic schemes in the Huai River Basin upstream of Bengbu Station using identical meteorological forcing and VIC-generated runoff: (I) a linear routing scheme (VIC–Routing), (II) a natural hydrodynamic scheme (VIC–CaMa-Flood), and (III) an extended hydrodynamic scheme that incorporates reservoir regulation and levee effects (VIC–CaMa-Flood with Dam). Results reveal clear spatial differences in scheme suitability. The linear routing scheme performs best in upstream reaches, with NSE and KGE generally exceeding 0.81, but tends to overestimate peak discharge in downstream lowland sections. Incorporating hydrodynamic processes and regulation representation further reduces peak flow bias. Scheme III achieves the most consistent downstream improvement, particularly for high flows (>2000 m³/s), with NSE exceeding 0.80 in long-term simulations and improved agreement with satellite-driven inundation patterns. However, simplified reservoir operating rules can increase uncertainty in water level dynamics. During the 2020 plum rain flood, Scheme II yielded more accurate water levels in some reaches, suggesting that generalized operation rules may introduce compensating errors even when discharge accuracy improves. Overall, reliable flood simulation in well-managed basins requires an explicit representation of both floodplain hydrodynamics and regulation, and scheme selection should be guided by the dominant controls along the river network. Full article

Pneumoconiosis, characterized by progressive pulmonary fibrosis, remains a predominant occupational disease in China, with coal workers’ pneumoconiosis (CWP) and silicosis being the primary subtypes. Despite extensive research, its underlying pathogenic mechanisms are not yet fully understood. Mitochondria-associated endoplasmic reticulum (ER) membranes (MAMs) are crucial subcellular microdomains that govern Ca²⁺ transport, sustain cellular bioenergetics, and maintain systemic homeostasis. Emerging evidence has linked the structural and functional dysregulation of MAMs to the pathogenesis of various fibrotic disorders. Apoptosis, a highly regulated cell death process, is a key driver in pneumoconiosis progression, in which Ca²⁺ imbalance serves as a critical signaling cascade. Mitofusin 2 (MFN2), a core regulator of MAMs’ structural integrity, mediates mitochondrial fusion and directly bridges the ER with the outer mitochondrial membrane, thereby stabilizing ER–mitochondrial coupling. However, whether MFN2 mitigates fibrosis by preserving MAMs’ integrity and subsequently suppressing Ca²⁺-dependent apoptosis remains elusive. In this study, we established SD rat and A549 cell models of CWP. Our results demonstrated that MFN2 expression was downregulated after coal dust exposure, accompanied by MAMs impairment, Ca²⁺ imbalance, and increased apoptosis, which ultimately drove the pathological progression of pulmonary fibrosis. Notably, MFN2 overexpression restored MAMs’ structure and Ca²⁺ homeostasis, alleviated abnormal apoptosis, and subsequently inhibited fibrosis. This study highlights the importance of the MFN2–MAMs–Ca²⁺–apoptosis axis and identifies MFN2 as a potential therapeutic target for pneumoconiosis. Full article

High-liquid-limit clay exhibits pronounced water sensitivity due to the strong electrostatic repulsion and weak interparticle bonding within its microstructure, which often limits its direct engineering uses and complicates the reuse of excavated clayey soils generated during the construction of transportation infrastructure. In this study, inorganic salts (KCl, CaCl₂ and FeCl₃) and carboxyl-containing polymers (PAAS, HPMA and CMC) were screened to construct organic–inorganic composite stabilization systems. Based on the screening results, an organic–inorganic composite system composed of CaCl₂ and sodium polyacrylate (PAAS) was developed to regulate interfacial interactions and induce microstructural reconstruction in clay. The synergistic mechanisms governing particle aggregation and dispersion were systematically investigated through Atterberg limit tests, zeta potential measurements, DLVO theoretical calculations, particle size analysis, scanning electron microscopy (SEM) and immersion disintegration experiments, combined with multivariate statistical modeling. Among the tested salt–polymer formulations, a composite system with 2% CaCl₂ and 0.1% PAAS showed the most favorable overall performance, achieving an optimal balance between electrostatic compression and steric stabilization, leading to enhanced structural integrity and delayed water-induced disintegration. Ca²⁺ ions compress the diffuse double layer and promote particle flocculation, whereas adsorbed PAAS chains introduce steric hindrance and interfacial modification. Their synergistic interaction reconstructs the pore–aggregate framework and regulates the interparticle potential energy landscape. DLVO analysis indicates that the optimized system attains a moderate critical interaction distance (h_c = 7.31 nm) and primary minimum depth (DPM = −2.72 × 10⁻¹⁶ J), reflecting a balanced interfacial bonding state. Multivariate statistical analyses further reveal a dual control pathway, in which consistency primarily governs disintegration duration, with additional contributions from surface electrochemical properties, while surface properties, soil structure and consistency collectively influence disintegration initiation. These findings elucidate the interfacial regulation and structural evolution mechanisms in organic–inorganic composite systems and provide insights into the design of composite modifiers for water-sensitive particulate materials, particularly for the resource reuse of high-liquid-limit clay excavated during the construction of transportation infrastructure and related geotechnical engineering applications. Full article

Background/Objectives: Rapid identification of foodborne pathogens is of high practical significance because it enables prompt epidemiological response, timely patient management, and effective sanitary control of food products. In this study, we developed an integrated molecular platform combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology for rapid, sensitive, and specific detection of Salmonella enterica. Methods: Four virulence genes (sirA, stn, siiD, and pagN) were selected as targets to ensure reliable pathogen identification. Reaction conditions were optimized using the Moraxella bovoculi Cas12a (MbCas12a) nuclease. The study focused on integrating isothermal amplification with a custom-engineered hardware solution for visual fluorescence detection. Results: The developed method demonstrated sensitive and specific detection, with no cross-reactivity to non-target microorganisms. Optimization allowed for a substantially reduced assay time of approximately 30 min. As a result, a portable fluorescence visualization approach was developed, featuring a 3D-printed housing and an integrated ultraviolet light source for direct visual fluorescence detection. This allows rapid differentiation of samples without specialized laboratory equipment, making it suitable for field applications. Conclusions: The combination of isothermal amplification, MbCas12a-based detection, and the portable fluorescence visualization approach provides a versatile platform for rapid diagnostics and food safety monitoring. This approach has strong potential to improve public health outcomes and enhance the resilience of food supply chains by enabling accessible, field-deployable pathogen detection. Full article

Black rice is rich in anthocyanins with potential antioxidant benefits, but their specific role in storage stability remains unclear due to confounding genetic backgrounds in previous studies. In this study, we used CRISPR/Cas9-mediated gene editing to generate OsKala4 knockout lines in the black rice cultivar Heizhen (HZ), creating an isogenic system to test whether endogenous anthocyanins contribute to storage-related quality stability. Knockout lines showed blocked anthocyanin biosynthesis (0.5–0.6 vs. 155.6 mg/100 g, p < 0.001) and altered grain composition. Under accelerated aging (45 °C, 90% RH, 2 weeks), HZ maintained higher antioxidant capacity (p < 0.05) and exhibited less pronounced starch aging than the representative knockout line KO2. Apparent amylose content increased less in HZ than in KO2 (16.7% vs. 28.1%, p < 0.05). HZ also showed smaller changes in pasting, thermal, and structural properties. XRD and FTIR analyses further suggested better maintenance of starch crystallinity and molecular order in HZ under accelerated aging conditions. These results suggest that endogenous anthocyanins were associated with storage-related quality stability in black rice. However, direct mechanistic evidence and validation under natural storage conditions are still needed. Full article

Background/Objectives: Copper (Cu²⁺) is an essential trace element that participates as a cofactor in key metabolic enzymes such as cytochrome c oxidase and superoxide dismutase. However, excessive copper exposure can be toxic and disturbances in copper homeostasis have been associated with neurodegenerative diseases including Alzheimer’s and Parkinson’s disease. Despite growing evidence linking copper to neuronal dysfunction, the cellular mechanisms by which Cu²⁺ affects neuronal excitability and neurotransmission remain poorly understood. The aim of this study was to investigate the effects of acute Cu²⁺ exposure on ionic currents involved in cellular excitability and neurotransmitter release in bovine chromaffin cells. Methods: Primary cultures of bovine chromaffin cells were used as a neuroendocrine model to study cellular excitability. Voltage-dependent ionic currents were recorded using the whole-cell patch-clamp technique in voltage-clamp configuration. Catecholamine secretion was monitored by amperometry, and cytosolic Ca²⁺ dynamics were measured in fluo-4-loaded cells during depolarization induced by high K⁺ stimulation. Results: Acute Cu²⁺ exposure produced a concentration-dependent enhancement of depolarization-evoked catecholamine release. In parallel, Cu²⁺ inhibited voltage-dependent calcium (ICa), sodium (INa), potassium (IKv), and calcium/voltage-dependent potassium (IKCa-v) currents in a concentration-dependent and partially reversible manner. In addition, Cu²⁺ increased basal cytosolic Ca²⁺ levels while reducing the amplitude of depolarization-evoked Ca²⁺ transients. Conclusions: Acute Cu²⁺ exposure exerts a dual effect in bovine chromaffin cells, inhibiting the ionic currents that support cellular excitability while potentiating catecholamine secretion. This apparent paradox is consistent with a disruption of intracellular Ca²⁺ homeostasis, in which elevated basal cytosolic Ca²⁺ may facilitate exocytosis despite reduced depolarization-evoked Ca²⁺ entry. These findings provide new insight into the mechanisms by which copper may alter neuronal signaling and contribute to neurotoxicity. Full article

Two-photon microscopy enables in vivo imaging of astrocytic Ca²⁺ activity, yet detecting weak, transient, and background-coupled signals remains challenging due to low signal-to-noise ratios and heterogeneous noise. Here, we propose a low-parameter, adaptive framework for detecting weak astrocytic Ca²⁺ signals in two-photon imaging. After short-window frame accumulation, static background suppression, and Gaussian smoothing to stabilize intensity statistics, signal candidates are identified via segment-wise Gaussian mixture modeling, temporal persistence masking, and adaptive threshold updates. In simulated videos, the proposed method improved the Dice coefficient from 0.06 to 0.77 and increased the reference SNR from −9.82 to 3.40 dB. In in vivo recordings, the local SNR increased from 5.58 to 7.28 dB. Compared with fixed thresholding, AQuA, and AQuA2, our method was more robust under high-noise conditions while requiring only three user-defined parameters (minimum area, minimum duration, and an initialization coefficient). This framework provides an interpretable and computationally practical front-end module for the robust extraction of astrocytic Ca²⁺ signal in low-SNR two-photon imaging. Full article

This study investigated cytogenetic damage in peripheral blood lymphocytes of 10 differentiated thyroid cancer patients who received multiple ¹³¹I radioiodine (RAI) treatments following total thyroidectomy. Blood samples were collected before the RAI therapy course and 2–3 days after the course for a few selected courses (from 1 to 3) for each patient. The cumulative average number of chromosome aberrations (CAs) per cell and its increment due to a selected RAI course were evaluated using the multiplex fluorescence in situ hybridization method (mFISH). An increase in the number of CAs was observed with the accumulation of RAI activity. The yield of these CAs per unit of accumulated RAI activity was, however, approximately three-fold lower than the respective yield for the incremented number of CAs in a selected course, thus demonstrating the elimination of CAs and/or aberrant cells with time. Biological dosimetry was performed based on the number of all types of CAs and in vitro mFISH calibration curves. With an average administered RAI activity of 3.40 ± 0.39 GBq, the average absorbed blood dose was 0.61 Gy (0.31–0.89:95% CI). Our results demonstrate that one-time administration of such activities of RAI was safe, since the commonly accepted threshold of 2 Gy for the blood dose was not exceeded. Full article

Yellow and pink calcite samples from the Huanggangliang and Xilingol mining areas in Inner Mongolia were investigated to elucidate the relationships among chemical composition, unit-cell parameters, coloration, and luminescence. Electron probe micro-analysis, laser ablation inductively coupled plasma mass spectrometry, X-ray diffraction, infrared spectroscopy, Raman spectroscopy, UV-Vis absorption spectroscopy, and photoluminescence measurements show that samples of yellow and pink calcite differ significantly in impurity incorporation and optical behavior. Yellow calcite is relatively enriched in Mg and rare earth elements, especially Y and Ce, whereas pink calcite contains markedly higher Mn and Fe contents. The pink calcite has smaller lattice parameters and unit-cell volume, consistent with greater substitution of Ca²⁺ by smaller-radius cations. Spectra reveal that the pink coloration is mainly related to Mn-associated absorption bands at 402 and 527 nm, whereas the yellow color is attributed to weak impurity- and defect-related absorption. Under ultraviolet excitation, yellow calcite exhibits a broad blue–white emission centered at ~470 nm, whereas pink calcite shows an intense orange–red emission near 625 nm characteristic of Mn²⁺. Variable-temperature photoluminescence further demonstrates that the pink calcite has higher thermal stability, with a thermal-quenching activation energy of 0.218 eV, compared with 0.074 eV for the yellow calcite. These results demonstrate that trace element incorporation plays a key role in regulating the coloration and luminescence of calcite and provide useful insight into the optical behavior of carbonate minerals. Full article

Parkinson’s disease (PD) is a progressive neurodegenerative disorder primarily caused by the degeneration of dopamine-producing neurons in the substantia nigra, leading to characteristic motor symptoms such as tremors, rigidity, and bradykinesia, as well as non-motor manifestations including depression, sleep disturbances, and speech impairments. Among these symptoms, speech abnormalities affect approximately 90% of individuals with PD, making acoustic analysis a promising non-invasive cue for early detection. However, subtle speech variations are often imperceptible to the human ear, and speech-only analysis may overlook complementary visual manifestations, such as hypomimia—reduced facial expressivity commonly observed in PD patients. To address these limitations, we propose Parkinson’s Detection via Attentional Fusion Network (PDAF-Net), a novel multimodal deep learning framework for early PD detection that jointly models acoustic and facial dynamic features in a binary classification setting. The proposed architecture consists of a Dual-Stream Feature Encoder (DSFE), with an audio branch based on a one-dimensional convolutional neural network (1D-CNN) and bidirectional long short-term memory (BiLSTM), and a visual branch built upon a two-dimensional convolutional neural network (2D-CNN) and a Transformer encoder. Multimodal integration is achieved through a Cross-Attention-guided Attentional Feature Fusion (CA-AFF) module, which explicitly models bidirectional cross-modal interactions and performs adaptive feature recalibration via an iterative attentional fusion mechanism. We conducted experiments on a self-collected Chinese multimodal dataset comprising 100 PD patients and 100 healthy controls. Although the data are balanced at the subject level, sliding-window segmentation introduces sample-level imbalance; to address this issue, a class-balanced focal loss is employed. Model performance was evaluated using subject-wise five-fold cross-validation. The results demonstrate that PDAF-Net consistently outperforms unimodal baselines across multiple evaluation metrics, achieving an accuracy of 89.3%, an F1-score of 0.884, and an AUC of 0.916. These findings highlight the effectiveness of explicit cross-modal interaction modeling and adaptive feature fusion for improving automated early PD screening in real-world clinical settings. Full article

Arbuscular mycorrhizal fungi (AMF) are vital for nutrient cycling, but how lithology across bulk soil and the rock–soil interface influence AMF communities remains poorly understood. We investigated the effects of karst (dolomite, limestone) and non-karst (clastic rock) lithologies across bulk soil and the rock–soil interface on AMF diversity, community composition, and co-occurrence networks in southwest China. AMF diversity did not differ among lithologies or between bulk soil and rock–soil interface, whereas community composition showed significant differences across lithology. The relative abundance of Glomus was lower in karst than in non-karst, whereas Paraglomus showed the opposite pattern. Co-occurrence network analysis revealed that karst soils exhibited higher numbers of nodes and edges but lower network density, transitivity, betweenness centrality, and average path length compared to non-karst soils. Within the same dolomite and limestone, network properties were similar between the rock–soil interface and bulk soil. Soil pH, exchangeable Ca²⁺ and Mg²⁺, total nitrogen, and nitrate nitrogen were negatively correlated with Glomus and network properties (e.g., number of nodes and edges), while ammonium nitrogen showed positive correlations. Our results indicate that lithology exerts a stronger influence than soil compartment on AMF community composition and interspecific interactions, emphasizing the key role of lithological substrates in regulating AMF communities. Full article

Background: In an era characterized by rapid technological disruption and vocational uncertainty, Career Adaptability (CA) has emerged as a critical meta-competency for university students transitioning into the workforce. While the importance of CA is well-documented, the internal mechanisms that foster it remain under-explored. This research adopts a resource-based perspective to investigate how Mindfulness—a state of non-judgmental present-moment awareness—acts as a catalyst for career readiness. Specifically, this study examines a dual-mediation model, proposing that Mindfulness enhances Emotional Intelligence (EI) and Psychological Capital (PsyCap) (comprising hope, efficacy, resilience, and optimism), which in turn bolsters an individual’s capacity to adapt to changing career landscapes. By integrating these four constructs, the study provides a comprehensive framework for understanding how “being present” (Mindfulness) translates into “being prepared” (Career Adaptability) through the cultivation of emotional and psychological resources. Methods: The study collected data from 705 final-year students at Wollo University (male = 399 and female = 306). The study employed several well-established instruments: the Compound Psychological Capital Scale (CPC), the Five Facet Mindfulness Questionnaire (FFMQ), the Wong and Law Emotional Intelligence Scale (WLIES), and the Career Adapt-Abilities Scale (CAAS). These instruments were rigorously evaluated for their psychometric applicability within the Ethiopian context. Results: PLS-SEM analysis revealed: (a) direct and positive influences of mindfulness, PsyCap, and EI on career adaptability; (b) partial and positive mediation effects of PsyCap and EI in the mindfulness-career adaptability link; (c) a serial mediation effect of mindfulness through PsyCap and EI; and (d) the proposed model explained a substantial amount of variance in university students’ career adaptability. Conclusions: Despite its strengths, the study acknowledged certain limitations and discussed potential implications for enhancing career adaptability, highlighting the benefits of cultivating mindfulness. Full article