Search Results (155)

The gut, brain, fat body, and various glands, although rich in “CSPs”, are not involved in chemosensory functions. We propose renaming the “CSPs” to “4CSPs” (4-Cysteine Soluble Proteins) to clarify their role, avoiding confusion with proteins also found in wings, hemolymph, and eggs. This report highlights studies related to insecticide resistance and lipid transport and expands on potential intracellular functions, strongly indicating non-chemosensory features of 4CSPs. Additionally, we show a significant correlation between 4CSPs and mucins, translation initiation factors, and actin complex proteins, reinforcing the proposal to rename “CSPs” and consider developmental pattern, tissue distribution, and intracellular localization. Full article

During cherry-tomato-bunch harvesting, clustered fruits, thin stems, and ambiguous fruit–stem junctions cause missed detections and errors in picking-point localization. To address these challenges, we propose TSP-Net, a structure-aware and geometry-constrained detection network built on YOLOv11n, together with an ROI heat-map regression module for picking-point localization. TSP-Net integrates the Truss-aware Multi-scale Ghost Cross Stage Partial (TMG-CSP) module into the backbone to strengthen structural features of fruit edges, small stems, and clusters. It introduces the Truss-oriented Axial-Local Attention (TALA) module during feature fusion to capture fruit-arrangement direction and local occlusion boundaries. We also design Physics-informed Truss Consistency (PTC) Loss to regularize detections by enforcing consistency with fruit-cluster morphology through constraints on center distribution, inter-fruit spacing, and scale continuity. For picking-point localization, local ROIs are extracted from detection outputs, Gaussian heat maps are predicted, and continuous coordinates are decoded using soft-argmax. In the controlled evaluation, TSP-Net attains precision 81.81%, recall 73.21%, mAP@50 79.53%, and mAP@50:95 64.83%, which exceed the corresponding YOLOv11n results by 0.83, 0.32, 1.29, and 1.03 percentage points, respectively. The model size is reduced from 5.23 MB to 5.08 MB, the parameter count falls from 2.59 M to 2.49 M, and computational cost declines from 6.4 to 6.0 GFLOPs. On the common valid-ROI test set, the proposed heat-map localization yields a mean localization error of 47.2 px, a median error of 24.2 px, and PCK@20, PCK@50, and PCK@100 of 45.1%, 68.4%, and 85.5%, respectively. Under identical ROI conditions, this heat-map method reduces the mean localization error by 11.3 px and raises PCK@20 by 14.9 percentage points compared with direct coordinate regression. In summary, the proposed approach enhances cherry-tomato-bunch detection and 2D picking-point candidate localization while meeting lightweight constraints, offering a structure-aware visual perception solution for greenhouse cherry-tomato harvesting. Full article

Background/Objectives: Although current guidelines (European Society of Gastrointestinal Endoscopy [ESGE] 2024, U.S. Multi-Society Task Force [USMSTF] 2020) recommend cold snare polypectomy (CSP) over cold forceps polypectomy (CFP) for small colorectal polyps, CFP remains widely used. Comparative economic data using real institutional pricing are scarce, limiting evidence for guideline-concordant resource allocation. We evaluated the healthcare economics and procedural outcomes of CSP versus CFP to assess their institutional resource implications. Methods: This prospective cohort study analyzed 153 consecutive patients (181 polyps ≤ 9 mm) at a single tertiary care center (June–October 2025). Technique allocation was based on endoscopist preference. The primary outcome was histopathologically confirmed complete resection; secondary outcomes were one-piece resection rate, procedure time, and cost outcomes based on institutional pricing. Firth penalized logistic regression, propensity score matching, and a neoplastic-restricted sensitivity analysis were performed. Results: Complete resection rates did not differ significantly (CSP 97.4% vs. CFP 94.2%, p = 0.29). CSP achieved higher one-piece resection rates (96.2% vs. 84.5%, p = 0.011) and shorter procedure time (median 3.2 vs. 5.1 min, p < 0.001). For 6–9 mm polyps, piecemeal resection was reduced with CSP (6.8% vs. 28.6%, p = 0.010). Despite higher device costs ($6 vs. $3), direct device-plus-labor cost was lower for CSP ($18.06 vs. $22.24, p < 0.001), with no statistically significant difference in complete resection. High-grade dysplasia was the only variable independently associated with incomplete resection. Findings were consistent in propensity score-matched (n = 61 pairs) and neoplastic-restricted (n = 134) analyses. Conclusions: By reducing direct device-plus-labor costs by 19% while improving one-piece resection, and remaining consistent across multivariable, propensity score-matched, and sensitivity analyses, these findings indicate that, within a cost-minimization framework, CSP is a cost-saving, guideline-concordant technique with no statistically significant difference in complete resection or observed adverse events. Full article

Two diastereoisomers of bis(mepirizole)bis(isothiocyanato-κ,N)cobalt(II) (1 and 2) are isolated from the reaction of cobalt(II) thiocyanate and mepirizole, depending on the crystallization solvent (ethanol, 1; acetonitrile, 2). In both crystal structures, the Co(II) ions exhibit distorted octahedral [CoN₄N′₂] environment. The analysis of the packing frameworks shows a cooperative relationship between non-classical H-bonds C(sp³)-H···X (X = N, O, S, π) and π-hole bonds, which control the arrangement of the supramolecular 3D networks. The values of the shortest intermolecular metal–metal separation are 8.584(2) Å in 1 and 8.249(1) Å in 2. Both diastereoisomers exhibit magnetic behavior typical of mononuclear Co(II) systems with significant zero-field splitting (ZFS) values, with D being 75.8(1) and 52.9(2) cm⁻¹ for 1 and 2, respectively. Q-band EPR studies confirm the positive value for the D parameters for both compounds. Alternating current dynamic susceptibility measurements show that 1 and 2 exhibit field-induced slow relaxation of the magnetization, which is reminiscent of single-ion magnet (SIM) behavior. Full article

Background: Cordyceps polysaccharides (CSP) have shown neuroprotective potential in models of ischemic stroke, but the underlying mechanisms remain to be clarified. Methods: In this study, the effects of CSP were evaluated in MCAO rats and OGD-exposed BV-2 cells. Results: CSP significantly attenuated ischemic injury and inflammatory responses in both in vivo and in vitro models. Mechanistically, CSP decreased CMPK2 expression, increased TFAM levels, and reduced 8-OHdG expression, suggesting attenuation of oxidative DNA damage and mitochondrial DNA-associated stress. EdU staining further showed that OGD-induced DNA synthesis-related signals were predominantly extranuclear, supporting the possibility of mtDNA-associated alterations under ischemia-like conditions. Moreover, CSP suppressed the upregulation of NLRP3, Caspase-1, N-GSDMD, IL-1β, and IL-18, and reduced LDH release following OGD exposure, suggesting inhibition of inflammasome-associated pyroptotic signaling. Conclusions: These findings suggest that the neuroprotective effects of CSP in ischemic stroke models may be related to the modulation of CMPK2/mtDNA/NLRP3 inflammasome pathway and reduced pyroptosis. Full article

Early pest infestations can significantly reduce chili pepper yield and quality. Therefore, timely and accurate pest detection is essential for precision pest management. However, pest detection under practical cultivation conditions remains challenging because of small target sizes, dense distributions, partial occlusion, and complex background interference. To address these challenges, this study proposes HCFD-YOLOv8, a task-oriented lightweight visual detection framework based on YOLOv8n for pepper pest monitoring in complex agricultural environments. A novel Cross-Stage Partial Hybrid Spatial Attention (CSP-HSA) module is developed as the core feature enhancement component. It is designed to improve fine-grained pest feature extraction while reducing computational redundancy. CSP-HSA combines cross-stage partial feature reuse, heterogeneous convolution, lightweight spatial-channel attention, and channel shuffle to enhance discriminative representations of small and densely distributed pests. In addition, a Cross-Scale Context Fusion Module (CCFM) is introduced to improve information interaction between high-resolution spatial details and high-level semantic features across different scales. DyHead and Inner-MPDIoU are further incorporated as complementary components to enhance adaptive feature perception and bounding-box localization, especially for partially occluded and overlapping targets. Experimental results show that YOLOv8n achieves a Precision of 84.0% and an mAP50 of 87.1%, whereas HCFD-YOLOv8 improves these values to 90.9% and 92.0%, respectively, corresponding to increases of 6.9 and 4.9 percentage points. Meanwhile, the proposed framework reduces the number of parameters, model weight-file size, and FLOPs from 3.00 M to 2.43 M, from 5.97 MB to 4.96 MB, and from 7.5 G to 6.5 G, respectively. The model achieves an inference throughput of 39.40 FPS on the evaluated cloud-server platform. Comprehensive ablation experiments demonstrate that DyHead delivers the largest standalone improvement in detection accuracy, whereas CSP-HSA provides a more favorable trade-off between feature enhancement and computational efficiency. CCFM and Inner-MPDIoU further provide complementary improvements in cross-scale feature representation and bounding-box localization. These results indicate that HCFD-YOLOv8 achieves a favorable balance between detection accuracy and computational efficiency, demonstrating its potential for lightweight and accurate pepper pest monitoring under complex agricultural conditions. Full article

The enantiomeric composition of products obtained from isomerization of n-humulone 1a to trans- and cis-n-isohumulones 2a and 3a, respectively, was determined by chiral HPLC analysis of the isolated trans and cis isomers. Enantiomers of humulone 1 were readily resolved on a Whelk-O1 chiral stationary phase (CSP), whereas the isomeric isohumulones 2 and 3 were separated on a carbohydrate-based IC-3 CSP. Magnesium-catalyzed isomerization of n-humulone under basic conditions gave mixtures of trans- and cis-n-isohumulones exhibiting an increasing preference for the cis isomer at lower temperatures. At either 10 °C in CH₂Cl₂/H₂O or reflux in methanol-water, the trans-(−) (4S,5S)-2a isomer was obtained in greater than 95% ee, while diastereomeric cis-3a exhibited 88% ee of the (+)-(4S,5R) enantiomer. Precision continuous flow photochemical isomerization using 395 nm LEDs provided trans-(−)-2a in greater than 95% ee in an isolated yield of 93%. However, photochemical isomerization with 365 nm LEDs gave a mixture of isomers consisting of 46% ee for the trans-(−)-2a and greater than 95% ee for the cis-(−)-(4R,5S)-3a enantiomer. The photochemically obtained (−)-3a isomer has the opposite absolute configuration compared to thermal isomerization. An oxadi-π-methane rearrangement is proposed to account for the formation of isohumulone isomers under photochemical conditions. Full article

This study investigates the influence of a non-ionic deep eutectic solvent on a cobalt-catalyzed C—H activation reaction. In this context, we demonstrate the feasibility of a cobalt-catalyzed one-step activation of Csp²—H and N—H bonds in benzosulfonamides, directed by aminoquinoline, with symmetrical 1,3-diynes for the synthesis of benzosultams. Rather than serving solely as a solvent replacement, the non-ionic deep eutectic solvent acts as a structured hydrogen-bonding reaction medium compatible with cobalt-catalyzed C—H activation. The study demonstrates that cobalt-catalyzed C—H activation can proceed with substrate-dependent product selectivity under these conditions, although further optimization is required to improve conversion and catalytic efficiency. These findings provide initial insights into solvent effects on cobalt-catalyzed C—H activation under non-conventional reaction media. Full article

Background/Objectives: About one-third of patients who receive cardiac resynchronization therapy (CRT) do not show meaningful clinical improvement. One possible reason is that current criteria for diagnosing left bundle branch block (LBBB) do not clearly separate true conduction block from other conditions that can produce a similar QRS pattern, since they rely mainly on surface ECG features. The Strauss criteria have been proposed as a stricter alternative. They include sex-specific QRS duration thresholds and require a mid-QRS notch or slur, with the goal of better identifying patients whose conduction abnormality may be correctable. Selecting candidates on this basis reflects a personalized-medicine approach that matches resynchronization to the individual conduction substrate rather than applying a single wide-QRS threshold to all patients. In this review, we assess whether LBBB defined by the Strauss criteria is linked to better CRT outcomes, and we examine how these criteria have been used in the design of randomized clinical trials investigating conduction system pacing (CSP). Methods: A systematic search of PubMed, EMBASE, and the Cochrane Library was conducted (last updated April 2026) in accordance with PRISMA 2020 guidelines. Evidence was drawn from two groups of studies: (1) observational studies comparing CRT outcomes in Strauss-positive versus Strauss-negative patients, and (2) randomized CSP trials conducted in populations enriched using either Strauss-type or typical LBBB morphology. Results: A total of 17 comparative studies (n ≈ 4200) were included in Part 1; most (14 of 17) reported outcomes favouring Strauss-defined LBBB, with the greatest signal in non-ischemic cardiomyopathy, although these were mostly small retrospective studies with heterogeneous outcome definitions. However, two large registry analyses found no incremental benefit of strict over conventional criteria. In Part 2, six randomized controlled trials were analyzed. The HeartSync-LBBP trial (n = 200, 36-month follow-up) demonstrated significantly lower rates of mortality or heart failure hospitalization with LBBP compared to BiVP (8% vs. 28%; HR 0.26; 95% CI 0.12–0.57), with 98% technical success for LBBP. In contrast, the PhysioSync-HF trial (n = 173) showed superiority of BiVP, with CSP success of only 69% and 42.8% of procedures performed by less experienced operators. Similarly, the LEFT-BUNDLE-CRT trial (n = 176) found that LBBAP did not meet non-inferiority criteria compared to BiVP (RR 0.95; 95% CI 0.88–1.02). Conclusions: Strauss-defined LBBB is associated with improved CRT outcomes in observational studies, particularly in non-ischemic cardiomyopathy; this reflects an association rather than established superiority or causal benefit, and no randomized trial has yet compared Strauss-guided against guideline-based patient selection. In randomized CSP trials, both operator experience and patient selection appear to be critical determinants of success. BiVP remains effective even in patients meeting strict Strauss criteria. Further research is needed to determine whether the application of Strauss criteria improves outcomes beyond current guideline-based patient selection. Full article

Urban transportation hubs increasingly face spatial homogenization, eroding regional identity and cultural distinctiveness. This study supports perceptions of a cultural sustainability framework that integrates regional semiotics with visual hierarchy theory, transforming high-speed railway stations from generic transit environments into culturally sustainable mobility spaces. Using Qiantang Station as a case study, four regional cultural narratives were extracted and translated into a hierarchical culturally embedded wayfinding system. Following the questionnaire survey, participants with varying travel frequencies and age distributions were purposively selected to participate in the scenario-based perception experiment in order to ensure sample diversity and heterogeneity in mobility experience. A total of 40 participants (N = 40) compared conventional and culturally embedded wayfinding systems. Results indicated that culturally embedded environments significantly enhanced Cultural Sustainability Perception (CSP: M = 4.13 vs. 3.78, p = 0.002, Cohen’s d = 0.74) and reduced spatial recognition time, while Place Identity and Place Dependence showed no significant differences. These findings suggest that culturally embedded wayfinding systems can enhance passengers’ perceptions of cultural sustainability and cultural visibility within transportation environments. However, the study does not directly evaluate perceived support for cultural-information retention outcomes. Full article

Maintaining wellbore stability in deep and ultra-deep formations demands plugging agents capable of sealing nano- to micro-scale pores under high-temperature conditions. A core–shell nano-plugging agent (CSP) was synthesized via emulsion polymerization using KH-570-modified nano-SiO₂ as the rigid core and a poly(styrene-co-butyl acrylate-co-methyl methacrylate) terpolymer as the deformable shell. CSP particles had a mean diameter of 196.5 nm (polydispersity index, PDI = 0.183) and an onset decomposition temperature of 342 °C. Compatibility tests at 180 °C confirmed that 3 wt% CSP caused no adverse changes in the rheology or emulsion stability of the oil-based drilling fluid (OBM). At 180 °C, CSP reduced the high-temperature high-pressure (HTHP) filtrate loss by 64.4% and the permeability plugging apparatus (PPA) filtrate loss by 66.1%. Sand-disk tests elevated the breakthrough pressure from 1.5 to 9.2 MPa. Core displacement on sandstone cores achieved a plugging rate of 98.30%, and pressure transmission tests on natural shale cores extended the 50% equalization time by 7.8-fold. Comparative evaluation confirmed that the core–shell architecture consistently outperformed nano-SiO₂ alone, polymer alone, and their physical blend. Low-temperature N₂ adsorption provided direct evidence of pore sealing, with the treated-shale Brunauer–Emmett–Teller (BET) surface area and total pore volume reduced by about 62% (12.6 to 4.8 m²/g and 0.0325 to 0.0121 cm³/g, respectively). Scanning electron microscopy of the shale surface before and after treatment further provided direct visual evidence of pore sealing, showing the open, porous matrix being converted into a dense, compacted filter cake. Filter-cake thickness measurements are consistent with a proposed three-stage plugging mechanism—bridging, deformation filling, and thermal compaction—driven by the complementary roles of the rigid core and the deformable shell. These findings indicate that CSP merits further evaluation as a high-temperature plugging agent for wellbore stabilization in deep shale formations. Full article

To address the joint requirements of illegal parking detection and license plate recognition under complex traffic scenarios and limited edge-device resources, this study proposes RKF-YOLO, a lightweight dual-task model based on improved YOLOv11n that integrates Rep-CSP structural optimization, knowledge-transfer-enhanced training (KTET), and Focal-CIoU loss. Compared with YOLOv11n, RKF-YOLO reduces parameters and FLOPs by 38.2% and 38.1%, respectively, while improving $\mathrm{mAP}@0.5$ and $\mathrm{mAP}@0.5:0.95$ by 0.6 and 1.1 percentage points for parking detection; for plate detection, Focal-CIoU improves $\mathrm{mAP}@0.5:0.95$ by 1.3 percentage points and contributes to a recognition accuracy of 95.7%. The unified framework uses a shared backbone and task-oriented detection heads to support vehicle-level illegal parking detection and license-plate-oriented localization. Rep-CSP enhances multi-scale feature representation, asymmetric channel reduction with feature compensation reduces redundant computation, and KTET improves convergence through optimizer and learning-rate migration. Deployment on RK3588 achieves 59.5 FPS for parking detection and 95.1% recognition accuracy, demonstrating real-time performance and practical applicability on resource-constrained edge devices. Full article

Colorectal cancer (CRC) is the third most common malignancy worldwide. Detailed characterization of cell surface proteins (CSPs) is essential for the identification of prognostic biomarkers and the development of novel therapeutic strategies. Cancer progression and epithelial cell polarity influence the expression levels and subcellular localization of these proteins. However, quantitative information on the distribution of CSPs between the apical and basolateral membranes remains limited, particularly in CRC cells. Here, we developed a rapid, high-throughput method based on the enrichment of biotinylated peptides and proteins from the apical and basolateral surfaces of polarized CRC epithelial cells (HT29 and HCT116), followed by LC-MS/MS analysis. This approach enables the simultaneous identification of the side-specific distribution of ~1200 CSPs. In addition, almost 500 potential N-glycosylation sites with the canonical consensus sequence of these proteins were identified, which may serve as targets for future site-specific glycosylation analyses. To evaluate the sensitivity of the method, we altered the surface proteome by generating TKS4-knockout cells and identified several surface markers whose expression levels differed significantly from those of wild-type cells. Overall, our findings provide new insights into the role of CSPs in CRC cells and gene-edited models, particularly in the context of TKS4-dependent epithelial-to-mesenchymal transition (EMT)-like phenotypes that model cancer metastasis. Full article

Background/Objectives: Pharmaceutical formulation involves designing a drug product by combining the properties of an active pharmaceutical ingredient (API) with suitable excipients and processing strategies to produce a safe, effective, and manufacturable dosage form. However, data in formulation science are often limited, expensive to generate, and frequently restricted by proprietary and confidentiality constraints. Interactive digital tools can support formulators during early drug product development by improving the structure, transparency, and efficiency of formulation decision-making. While the current system focuses on structured decision support, future extensions may incorporate machine-learning methods for recommendation and knowledge extraction. Methods: In this work, we developed the Formulation tool, an interactive decision-support and visualization system for formulation development based on a hierarchical formulation-strategy framework commonly used in pharmaceutical practice. The tool is designed to prioritize suitable formulation principles and associated processing routes, with oral solid formulation as the initial application domain. The evaluated scenarios also include pathway regions relevant to oral liquid formulations. Its modular architecture also makes it adaptable to other formulation scenarios. To assess practical applicability, the tool was evaluated in a structured expert study involving five expert users across six predefined formulation scenarios (n = 30 runs), covering three drugs under adult and pediatric conditions. Results: The tool showed agreement with the expected dosage-form families and overall formulation properties, with adult scenarios converging to oral solid regions and pediatric scenarios converging to oral liquid regions. At the downstream formulation-profile level, users converged either to the dominant expected pathway or to alternative feasible pathways within the same formulation region. Variability in full pathway completion was observed and was primarily associated with differences in user interaction behavior and exploratory usage patterns. The median task completion time was 113.5 s. Conclusions: In addition to organizing formulation knowledge, the Formulation tool records user interactions in a structured manner, which may support future learning from usage patterns. Because detailed downstream formulation constraints are often institution-specific and are typically not available in the public domain, the present evaluation focused on agreement at the dosage-form-family level and on overall formulation properties rather than on highly specialized constraint logic. The system is based on a constraint satisfaction problem (CSP) framework, which is well suited for modeling complex decision processes under explicit constraints. CSP has also been widely applied in intelligent scheduling systems, supporting its suitability for structured, constraint-rich decision-making tasks such as pharmaceutical formulation strategy development. Full article

Accurate navigation line recognition in mature soybean fields presents significant challenges due to complex backgrounds. To address this issue, we developed an enhanced YOLOv10n-based model for robust visual navigation, and the assessment was conducted in the experimental fields of the laboratory. The dataset comprised 1363 original images collected at this site and was expanded to 5452 images through data augmentation. The study utilized an innovative data annotation approach focusing on inter-ridge navigation areas to minimize background noise from mature soybean rows. The model was optimized by integrating the CSP Multi-Scale Edge Information Enhancement (CSP-MEIE) module and a lightweight detection head. This architecture significantly improves efficiency, achieving a model size of just 4.5 MB and a parameter count of 2.137 M, while delivering a rapid detection speed of 204.1 FPS. Crucially, the model expands the effective receptive field to 96.6% (t = 99%), far exceeding the 73.0% of the baseline YOLOv10n, ensuring robust feature capture without compromising accuracy (92.6% mAP50-95). For path planning, path points were extracted and predicted using a combination of Kalman filtering and adaptive segmentation. Field experiments demonstrated the system’s effectiveness, achieving an average distance error of 4.53 pixels and an average angle error of 3.57°, a processing speed of 28.17 ms per frame, and a navigation line recognition accuracy of 98.05%. These findings highlight the method’s capability to meet real-time agricultural requirements, offering a reliable visual perception and decision-making basis for autonomous navigation in complex field environments. Full article