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Rice, a dietary staple for over half of the global population, is highly susceptible to bacterial and fungal diseases such as bacterial blight, brown spot, and leaf smut, which can severely reduce yields. Traditional manual detection is labor-intensive and often results in delayed intervention and excessive chemical use. Although deep learning models like convolutional neural networks (CNNs) achieve high accuracy, their computational demands hinder deployment in resource-limited agricultural settings. We propose MCP-X, an ultra-compact CNN with only 0.21 million parameters for real-time, on-device rice disease classification. MCP-X integrates a shallow encoder, multi-branch expert routing, a bi-level recurrent simulation encoder–decoder (BRSE), an efficient channel attention (ECA) module, and a lightweight classifier. Trained from scratch, MCP-X achieves 98.93% accuracy on PlantVillage and 96.59% on the Rice Disease Detection Dataset, without external pretraining. Mechanistically, expert routing diversifies feature branches, ECA enhances channel-wise signal relevance, and BRSE captures lesion-scale and texture cues—yielding complementary, stage-wise gains confirmed through ablation studies. Despite slightly higher FLOPs than MobileNetV2, MCP-X prioritizes a minimal memory footprint (~1.01 MB) and deployability over raw speed, running at 53.83 FPS (2.42 GFLOPs) on an RTX A5000. It achieves 16.7×, 287×, 420×, and 659× fewer parameters than MobileNetV2, ResNet152V2, ViT-Base, and VGG-16, respectively. When integrated into a multi-resolution ensemble, MCP-X attains 99.85% accuracy, demonstrating exceptional robustness across controlled and field datasets while maintaining efficiency for real-world agricultural applications.

Volume 18, entitled Metallo-Drugs: Development and Action of Anticancer Agents of the series Metal Ions in Life Sciences centers on biological, medicinal inorganic chemistry. The serendipitous discovery of the antitumor activity of cis-diamminodichloroplatinum(II) (cisplatin) by Barnett Rosenberg in the 1960s is a landmark in metallodrug-based chemotherapy. The success of cisplatin in the clinic, followed by oxaliplatin and carboplatin, along with their drawbacks relating mainly to resistance development and severe toxicity, initiated research on polynuclear platinum complexes and on Pt(IV) complexes as prodrugs. Furthermore, the indicated shortcomings led to the exploration of other transition and main group metal ions, among them Ru(II/III), Au(I/III), Ti(IV), V(IV/V), and Ga(III) including also the essential metal ions Fe(II/III), Cu(I/II), and Zn(II). Ionic as well as covalent and non-covalent interactions between structurally very different complexes and biomolecules like nucleic acids, proteins, and carbohydrates are studied and discussed with regard to their possible anticancer actions. Hence, MILS-18 summarizes the research at the forefront of medicinal inorganic chemistry, including studies on the next-generation, tailor-made anticancer drugs. All this and more is treated in an authoritative and timely manner in the 17 stimulating chapters of this book, written by 39 internationally recognized experts from 10 nations (from the US via Europe to China and Australia). The impact of this vibrant research area is manifested by more than 2700 references, nearly 150 illustrations (more than half in color) and several comprehensive tables. Metallo-Drugs: Development and Action of Anticancer Agents is an essential resource for scientists working in the wide range from enzymology, material sciences, analytical, organic, and inorganic biochemistry all the way through to medicine including the clinic ... not forgetting that it also provides excellent information for teaching.

In the marine environment, steel materials usually encounter serious problems with chemical or electrochemical corrosion and fouling by proteins, bacteria, and other marine organisms. In this work, a green bifunctional Z-scheme CuOx/Ag/P25 heterostructure coating material was designed to achieve the coordination of corrosion prevention and antifouling by matching the redox potential of the reactive oxygen species and the corrosion potential of 304SS. When CuOx/Ag/P25 heterostructure was coupled with the protected metal, the open circuit potential under illumination negatively shifted about 240 mV (vs. Ag/AgCl) and the photoinduced current density reached 16.6 μA cm−2. At the same time, more reactive oxygen species were produced by the Z-shape structure, and then the photocatalytic sterilization effect was stronger. Combined with the chemical sterilization of Ag and the oxide of Cu, the bacterial survival rate of CuOx/Ag/P25 was low (0.006%) compared with the blank sample. This design provides a strategy for developing green dual-functional coating materials with photoelectrochemical anticorrosion and antifouling properties.

Afforestation is among the most effective means of preventing and controlling desertification. Silver poplar ( Populus alba ) is commonly planted tree species for afforestation of the Horqin Sandy Land of China. However, this species has exhibited some drawbacks such as top shoot dieback, premature senescence and mortality, and soil and ecosystems degradation. In contrast, Siberian elm ( Ulmus pumila ) rarely experiences these problems in the same regions. Ecological stoichiometry plays a vital role in exploring ecological processes and nutrient cycle relationships in plant–litter–soil systems. To explore the differences in the carbon (C), nitrogen (N), and phosphorus (P) balance, the stoichiometry characteristics and stoichiometric homeostasis in elm and poplar plantations in the Horqin Sandy Land, we measured C, N, and P concentrations in leaves, branches, roots, litter, and soils and analyzed N and P resorption efficiencies in the two plantations. The results showed that soil C and N concentrations, C:P, and N:P were greater in the elm plantation than in the poplar plantation. The leaf and root C:P and N:P during summer and litter N and P concentrations were greater, whereas N and P resorption efficiencies were lower, in the elm plantation than in the poplar plantation. Generally, elm exhibited greater N:P homeostasis than poplar. N and N:P homeostasis were greater in roots than in leaves and branches in the elm plantation, but they varied with soil N concentration and N:P in the poplar plantation. These findings indicate that poplar exhibited more developed internal nutrient conservation and allocation strategies but poor nutrient accumulation in soil, which may contribute to degradation of poplar plantation. In contrast, elm tended to return more nutrients to the soil, showing an improved nutrient cycle in the plant–litter–soil system and increased soil C and N accumulation in the elm plantation. Therefore, compared with poplar, elm may be a more suitable afforestation tree species for the Horqin Sandy Land, in terms of promoting the accumulation of soil nutrients and enhancing nutrient cycling in the plant–litter–soil system.

Balance deficits are associated with clinical manifestations in patients with chronic ankle instability (CAI); however, evidence of cortical plasticity related to balance control remains insufficient. This study aimed to evaluate cortical activity and balance differences between patients with CAI and healthy individuals during single-leg stance, with or without vision, and to explore the correlations between brain blood flow signals and homeostatic function to elucidate the neurophysiological changes in balance control. This cohort study involved 30 patients with CAI from a single hospital and 30 age-matched healthy controls. Cortical activity in the sensorimotor cortex (SMC), dorsolateral prefrontal cortex (DLPFC), and superior temporal gyrus (STG) was measured using functional near-infrared spectroscopy. The activity ranges of the center of mass (COM), acceleration, and acceleration extremes were calculated using wearable inertial sensors. Moreover, scale assessments (visual analog scale, foot and ankle ability measure, and Cumberland Ankle Instability Tool) and functional tests (classical balance, Y-balance, multi-directional reach tests, and timed up-and-go tests) were conducted. Significant between-group effects were observed for the root mean square (RMS) centroid acceleration in the anteroposterior (AP) direction ( = 5.51, = 0.02), whereas within- and between-group differences existed for RMS centroid acceleration in the mediolateral (ML) direction ( = 3.56, = 0.03; = 8.5, = 0.004). Significant within- and between-group differences were identified for peak acceleration magnitude (Acc_max) -AP ( = 7.85, = 0.001; = 11.83, = 0.001) and Acc_max-ML ( = 15.64, = 0.0001; = 5.06, = 0.026). The oxyhemoglobin concentration change (ΔHbO ) was significantly greater in patients with CAI than in healthy controls during single-leg stance; between-group differences were identified in the STG-right cerebral hemisphere (R) ( = 10.25, = 0.002), DLPFC-R ( = 50.99, = 0.001), SMC-R ( = 27.48, = 0.0001), STG-left cerebral hemisphere (L) ( = 13.6, = 0.0001), DLPFC-L ( = 24.21, = 0.0001), and SMC-L ( = 29.75, = 0.0001); within-group differences in the SMC-L ( = 9.92, = 0.0001); and interaction effects in the STG-R ( = 5.73, = 0.004). During right-leg stance with the eyes closed, RMS-ML and Acc_max-ML exhibited a high positive correlation with ΔHbO in the STG-L (RMS-ML: = 0.001, = 0.72; Acc_max-ML: = 0.001, = 0.74). Patients with CAI exhibited lower balance ability and greater COM bias than healthy controls, with increased bilateral activation in brain regions, regardless of which limb was elevated; the results were more pronounced with vision inhibited. Enhanced brain activity was positively correlated with COM changes. Functional near-infrared spectroscopy and wearable inertial sensors can detect balance in patients with CAI.

To define the clinical, serological, and muscle histopathological characteristics, as well as treatment outcomes, of patients with anti‐Ha antibody. We performed a retrospective analysis of clinical, serological, and pathological data and long‐term treatment outcomes of anti‐Ha patients between January 2005 and July 2023 at our center. Anti‐Ha antibody was identified by immunoblot and reconfirmed by immunoprecipitation. Of the 570 patients with idiopathic inflammatory myopathies, 17 (3.0%) were found to be anti‐Ha positive, of whom 5 (29.4%) were also positive for another myositis‐specific antibody (MSA). All patients with anti‐Ha antibody as the single MSA (12/17, 70.6%) had clinical and histopathological evidence of muscle damage. Skin lesions were identified in nine of them (75%), while both interstitial lung disease and Raynaud's phenomenon were only seen in four patients. A necrotizing myopathy without a perifascicular pattern was the most common pathological manifestation (50%). Perifascicular necrosis (PFN) and myofiber major histocompatibility complex class‐II expression were observed only in one and four patients, respectively. Muscle weakness relapse was reported in five patients, and skin rashes worsening were observed in one patient. Most of the anti‐Ha patients (66.7%) finally achieved a favorable outcome at last follow‐up. Anti‐Ha antibody might not be as rare as previously thought and may coexist with other MSAs. Muscle damage is the most common manifestation in anti‐Ha patients, while extra‐muscular symptoms except for the cutaneous manifestations are unusual. The histopathological features varied with a predominance of necrotizing myopathy without PFN. These patients often finally had favorable outcomes, although relapses often occur. A necrotizing myopathy without a perifascicular pattern is the most common pathological manifestation of anti‐Ha ASS.

Objective To evaluate the safety and efficacy of the granisetron transdermal delivery system (GTDS) combined with Dexamethasone for preventing chemotherapy-induced nausea and vomiting (CINV) in patients receiving Capecitabine plus Oxaliplatin (CapeOX) therapy. Design Open-label, prospective, multi-center phase II trial. Setting Three institutions. Participants Fifty-four patients scheduled to receive CapeOX chemotherapy. Interventions Participants received GTDS (3.1 mg applied to the upper arm 48 h before chemotherapy, replaced on day 5, and discarded on day 12) and Dexamethasone. Main outcome measures The primary endpoint was the complete control rate of CINV. Secondary endpoints included the duration of delayed complete control, complete control rate in the acute phase, safety, and quality of life. Results The complete control rate for delayed CINV over the entire period (25–480 h) was 72.7% (95% CI 0.57–0.88). The duration of delayed complete control was 17.2 ± 4.5 days, with 51.5% of patients experiencing no nausea during the delayed phase. The complete control rate in the acute phase was 81.8% (95% CI 0.69–0.95). No serious adverse events related to the antiemetic regimen were reported. Conclusion Prolonged administration of GTDS is safe and effective for preventing CINV in patients with gastrointestinal malignancies treated with CapeOX. Trial Registration ClinicalTrials.gov registry (NCT05325190); registered on October 10, 2021.

ObjectivesDermatomyositis (DM) has been consistently linked to the type I interferon (IFN-I) pathway. However, the precise pathogenesis remains incompletely elucidated. We aimed to explore potential molecular mechanisms and identify promising therapeutic targets in DM.MethodsWe employed bioinformatics analysis to investigate molecular signatures, aiming to shed light on the pathogenesis of DM. The expression of protein kinase R (PKR) in DM muscle tissues was determined by real-time quantitative PCR, western blot and immunohistochemistry (IHC) analysis. We then assessed the sensitivity and specificity of sarcoplasmic PKR expression by IHC in a consecutive DM cohort and other diseases in this retrospective study. Furthermore, IFN-β was used to stimulate myoblasts and myotubes, and the relationship between PKR and IFN-β-induced pathogenic molecules was investigated in vitro.ResultsBioinformatics analysis indicated two primary pathological processes: viral infection and the IFN-I signalling pathway. We subsequently verified that PKR was notably expressed in the cytoplasm of myofibers in DM patients. The sensitivity and specificity of sarcoplasmic PKR expression in DM were 84.6% and 97.6%, respectively. In vitro studies revealed that IFN-β upregulates the expression of PKR, along with several molecules associated with DM muscle damage. Conversely, inhibiting PKR has been shown to downregulate IFN-β-induced pathogenic molecules in both myoblasts and myotubes.ConclusionsWe observed that PKR exhibits specific expression in the cytoplasm of DM muscle and inhibiting PKR ameliorates IFN-β-induced muscle damage in vitro. These findings provide insights into the diagnostic and therapeutic roles of PKR in DM.

The frequent and sharp fluctuations in garlic prices seriously affect the sustainable development of the garlic industry. Accurate prediction of garlic prices can facilitate correct evaluation and scientific decision making by garlic practitioners, thereby avoiding market risks and promoting the healthy development of the garlic industry. To improve the prediction accuracy of garlic prices, this paper proposes a garlic-price-prediction method based on a combination of long short-term memory (LSTM) and multiple generalized autoregressive conditional heteroskedasticity (GARCH)-family models for the nonstationary and nonlinear characteristics of garlic-price series. Firstly, we obtain volatility characteristic information such as the volatility aggregation of garlic-price series by constructing GARCH-family models. Then, we leverage the LSTM model to learn the complex nonlinear relationships between the garlic-price series and the volatility characteristic information of the series, and predict the garlic price. We applied the proposed model to a real-world garlic dataset. The experimental results show that the prediction performance of the combined LSTM and GARCH-family model containing volatility characteristic information of garlic price is generally better than those of the separate models. The combined LSTM model incorporating GARCH and PGARCH models (LSTM-GP) had the best performance in predicting garlic price in terms of evaluation indexes, such as mean absolute error, root mean-square error, and mean absolute percentage error. The combined model of LSTM-GARCH provides the best results in garlic price prediction and can provide support for garlic price prediction.

BackgroundN6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown.MethodA total of 365 HCC patients with complete data from The Cancer Genome Atlas (TCGA) database were used as the training cohort, and half of them were randomly selected as the validation cohort. A total of 161 HCC patients from the International Cancer Genome Consortium (ICGC) database were used as external validation (ICGC cohort).ResultsWe first identified a group of specific lncRNAs associated with both m6A regulators and ferroptosis-related genes and then constructed prognosis-related mfrlncRNA pairs. Based on this, the mfrlncRNA signature was constructed using the least absolute shrinkage and selection operator (LASSO) analysis and Cox regression. Notably, the risk score of patients was proven to be an independent prognostic factor and was better than the TNM stage and tumor grade. Moreover, patients with high-risk scores had lower survival rates, higher infiltration of immunosuppressive cells (macrophages and Tregs), lower infiltration of cytotoxic immune cells (natural killer cells), poorer immune efficacy (both immunophenoscore and score of tumor immune dysfunction and exclusion), higher IC50, and enrichment of the induced Treg pathway, which confirmed that the mfrlncRNA signature contributed to survival prediction and risk stratification of patients with HCC.ConclusionsThe mfrlncRNA signature, which has great prognostic value, provides new clues for identifying “cold” and “hot” tumors and might have crucial implications for individualized therapy to improve the survival rate of patients with HCC.