Search Results (243)

In this work, a lightweight framework enabled by the modified YOLOv11s-seg model for tea shoot detection and plucking point localization is proposed. Detecting tea shoots and localizing plucking points with higher accuracy generally require larger model size and more model parameters, making it difficult to balance accuracy and lightweighting. To overcome this limitation, a modified lightweight YOLOv11s-seg model is developed. First, the multi-scale edge information enhancement is introduced into the conventional YOLOv11s-seg to extract edge feature better and improve the detection accuracy of tea shoots. Meanwhile, context anchor attention is utilized to modify the cross stage partial spatial attention module in a backbone network to improve the detection capability for small objects. Moreover, the detail calibration reconstruction feature pyramid network is proposed. It utilizes spatial and contextual semantic information to reconstruct and calibrate features in key regions, enhancing the capability for object fusion and recognition at various scales. Furthermore, with the modified model performing instance segmentation to acquire the contour of each tea shoot, the coordinates of the three lowest pixel points in the contour are captured to localize the plucking point based on the average coordinates. In addition, the layer-adaptive magnitude-based pruning (LAMP) method is used to lighten the model. The experimental results show that the LAMP-pruned modified YOLOv11s-seg model with a speedup ratio of 1.5 achieves a mAP@0.5 of 86.5% for tea shoot detection, exhibiting a 4.7 percentage point improvement over the conventional YOLOv11s-seg model. Moreover, it exhibits an accuracy of 81.9% for plucking point localization on the validation and test subsets with 232 images in total, and its number of parameters, model size and floating point operations (FLOPs) separately achieve reductions of 67.3%, 66.2%, and 24.9% over the conventional model as well. Therefore, the proposed LAMP-pruned modified model shows good balance between lightweighting and detection accuracy. Finally, the modified LAMP-pruned YOLOv11s-seg model is deployed on a Jetson Orin NX edge module and measured in a tea plantation, with the measured results exhibiting a detection speed of 34.1 FPS and verifying its availability in practical applications. Full article

Nosocomial pathogens persist on hospital surfaces contributing to healthcare-associated infections (HAIs), especially among vulnerable patients and in the presence of multidrug-resistant strains. Environmental surveillance is essential to prevent cross-contamination and support timely infection control interventions. However, conventional culture-based methods, although considered the gold standard, are labor-intensive and time-consuming, often delaying critical responses. This study evaluated loop-mediated isothermal amplification (LAMP) as a rapid screening tool for hospital environmental monitoring. A total of 100 surface samples were collected from different hospital wards and analyzed using both culture and LAMP assays targeting six major HAI-related pathogens: Pseudomonas aeruginosa, Staphylococcus aureus, Enterococcus spp., Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii. LAMP showed excellent performance, with sensitivity of 1.00 for all targets and specificity ranging from 0.94 to 1.00. No statistically significant differences were observed between LAMP and culture results (p > 0.05). LAMP may represent a valuable complementary method for routine environmental surveillance. Full article

Canine dirofilariasis, caused by Dirofilaria immitis and Dirofilaria repens, is an emerging vector-borne disease of increasing veterinary and zoonotic importance. Rapid and species-specific detection is essential for effective clinical management and epidemiological surveillance. This study aimed to develop and diagnostically evaluate two novel species-specific loop-mediated isothermal amplification (LAMP) assays for the direct detection of D. immitis and D. repens in canine whole blood, performed in parallel in separate reactions, with emphasis on simplified and potentially near-point-of-care applicability. Primers targeting mitochondrial COI and NADH gene regions were designed and validated. In silico specificity analysis against 13 filarioid species confirmed the absence of non-specific primer binding. A direct closed-tube LAMP protocol using sodium hydroxide–Chelex-100 lysis was optimized, enabling amplification without conventional DNA extraction while reducing contamination risk and processing time to under 60 min. Relative diagnostic performance was evaluated relative to quantitative real-time PCR (qPCR) results. Using purified DNA, the D. repens assay achieved 100% relative sensitivity and relative specificity, whereas the D. immitis assay showed 94.5% relative sensitivity and 100% specificity. In direct whole-blood assays, relative specificity remained 100% for both targets, while sensitivity decreased to 90.9% for D. immitis and 77.42% for D. repens, with most false-negative reactions associated with high qPCR Ct values (>30). These findings demonstrate that the proposed assays provide a rapid and practical molecular diagnostic approach with potential applicability for point-of-care veterinary testing. Full article

Schistosomiasis is an important snail-borne neglected tropical disease, and detecting infected snails is a priority for its control and elimination. However, conventional parasitological methods, such as crushed snails and cercarial shedding, have limited sensitivity. In this study, we developed a novel loop-mediated isothermal amplification (LAMP) assay (smND1-LAMP) targeting the mitochondrial NADH dehydrogenase subunit 1 (ND1) gene of Schistosoma mansoni. The assay was optimized at 65 °C for 1 h and demonstrated a detection limit of one copy of the pUC57/smND1 recombinant plasmid. Its diagnostic performance was evaluated using laboratory-infected Biomphalaria snails and field-collected samples from Zimbabwe and Burkina Faso, and compared with microscopy, conventional PCR and SYBR Green real-time PCR (SGPCR). In laboratory experiments, smND1-LAMP achieved 100% specificity and 75% sensitivity, outperforming microscopy and showing a similar performance to SGPCR. In field surveys, smND1-LAMP detected a higher positive rate (25.9%) than conventional PCR (22.2%) in Burkina Faso, while microscopy failed to identify any positive snails. Both molecular methods identified infections that were missed by parasitological techniques. These findings demonstrate that smND1-LAMP assay is a sensitive, specific, and field-applicable tool for detecting S. mansoni infection in snails. It provides an effective alternative for routine surveillance and early warning of changing schistosomiasis endemicity. Full article

To address the critical challenge of excessive junction temperature caused by ultra-high heat flux densities (>100 W/cm²) in deep-sea LED Fish-Attracting Lamp (FAL) arrays, this study proposes a hybrid thermal management scheme integrating interfacial micro-texturing, chimney-effect convection, and heat pipe phase-change heat transfer, achieving the unification of passive high-efficiency heat dissipation and pressure-resistant sealing. The FAL housing structure is reconfigured using topology optimization to construct chimney-effect enhanced flow channels integrated with heat pipe bundle arrays, thereby establishing efficient heat conduction pathways from the Phenolic Resin Substrate (PRS) to the structural periphery. Micro-Element Texture (MET) arrays are fabricated at the PRS thermal interface to enhance interfacial thermal conductance. Based on multi-physics coupled numerical simulation, a parametric mapping model correlating geometric topology with thermal performance is established through response interface methodology, enabling the parametric optimization of micro-texture configurations. A thermal interface performance testing platform is constructed to validate the accuracy and reliability of the numerical model. Experimental results demonstrate that the integrated heat pipe technology effectively suppresses LED junction temperature rise; moreover, groove-type MET arrays oriented perpendicular to the gravity direction not only significantly increase the effective heat dissipation area but also optimize the dynamic characteristics of natural convection. This proposed solution reduces the maximum operating temperature of deep-sea FALs by 6.70% compared with conventional structures, providing an effective engineering solution for thermal structural design of high-power illumination systems. Full article

White pine blister rust disease (WPBR), caused by Cronartium ribicola, ranks among the most destructive pathogens of five-needle pines. We developed a hydroxynaphthol blue (HNB)-based Loop-mediated isothermal amplification (LAMP) assay enabling rapid, visual detection of C. ribicola directly following DNA extraction. LAMP primers targeting the internal transcribed spacer (ITS) region were designed and validated through in silico comparison with related Cronartium species and in vitro testing against sympatric forest fungi. The optimized 25 μL reaction contained 8.0 mM Mg²⁺, 1.0 mM dNTPs, and an inner-to-outer primer ratio of 8:1, with amplification conducted at 62 °C for 40 min. Positive amplification produced a distinctive color transition from purple to sky blue, enabling visual interpretation without instrumentation. Under the tested conditions, the assay achieved a detection limit of 460 ± 3.2 fg/μL genomic DNA—a 10-fold improvement over conventional PCR in concentration-based sensitivity. Assay applicability was evaluated using 211 field-collected Pinus armandii samples sourced from China. Detection efficiency varied significantly across tissue types. Symptomatic bark exhibited a substantially higher positive detection rate (68.97%, 95% CI: 49.2–84.7%) compared to needles from symptomatic trees (18.75%, 95% CI: 4.1–45.7%). Among asymptomatic samples, 3.75% of bark samples tested positive for C. ribicola DNA, whereas all needle samples were negative. Geographically, positive detections clustered at several discrete sampling sites in southwestern China, predominantly at elevated elevations. The established LAMP-HNB assay provides a rapid, visually interpretable diagnostic tool for early detection and quarantine monitoring of WPBR following DNA extraction. Beyond its practical utility, this assay establishes valuable baseline data for targeted disease surveillance in the context of evolving climate conditions. Full article

Bitter gourd (Momordica charantia L.) is an important vegetable and medicinal crop in tropical/subtropical regions, but suffers severe yield losses (even total failure) from Fusarium wilt caused by Fusarium oxysporum f. sp. momordicae (Fom). There is no specific detection system available to detect this pathogen, and the methods used for other pathogens exhibit cross-reactivity and require specialized equipment. Therefore, this study developed a loop-mediated isothermal amplification (LAMP) assay for early Fom diagnosis. Initially, five sets of LAMP primers targeting the conserved regions of Fom, located within the region amplified by the FOMM-SPF/SPR PCR primers, were tested for specificity and sensitivity. In this experiment, FoM-1-2 showed optimal specificity, identifying 44 Fom strains without cross-reactivity with 10 other non-Fom species after a 60 min incubation at 64 °C. A visual readout based on a fluorescent dye (green for positive, pale orange for negative) eliminated the need for gel electrophoresis and specialized instruments. The LAMP assay was 100-fold more sensitive than conventional PCR (detection limit: 5.6 pg/μL vs. 560 pg/μL). In inoculated seedlings, LAMP detected Fom in basal stems at four days post-inoculation and top leaves at six days, whereas conventional PCR yielded faint bands in the basal stem after eight days. Moreover, LAMP enabled non-destructive detection. Thus, the present study developed a rapid, specific, and sensitive visual LAMP assay, supporting early diagnosis of bitter gourd Fusarium wilt. Full article

Helicobacter pylori (H. pylori) infection is closely associated with the development of chronic gastritis, peptic ulcers, and gastric cancer, highlighting the importance of rapid and accurate detection for disease prevention and clinical management. In this study, a one-pot LAMP-CRISPR/Cas12b assay targeting the CagA gene was developed for H. pylori detection. First, the LAMP system was optimized by systematically screening key reaction components. Subsequently, a one-step LAMP-CRISPR/Cas12b detection platform was established through optimization of the ratio between the LAMP premix and CRISPR buffer, reaction temperature, Cas12b concentration, and ssDNA reporter concentration. Under optimal conditions, the assay achieved a detection limit of 3.14 × 10¹ copies/µL, representing a tenfold improvement in sensitivity compared with conventional LAMP and PCR assays (3.14 × 10² copies/µL). In addition, the entire detection process could be completed within 1 h. Validation using 17 culture-positive and 17 culture-negative samples demonstrated complete concordance with culture-based results, with no false-positive or false-negative detections observed. These findings indicate that the proposed platform possesses high sensitivity, excellent specificity, rapid turnaround, and operational simplicity, demonstrating strong potential for point-of-care testing and applications in resource-limited settings. Full article

The production of pre-basic (G0) seed tubers underpins the certified potato value chain. However, the transition from in vitro laboratory conditions to the ex vitro greenhouse environment remains a persistent production constraint, with reported mortality rates of 50–70%. This systematic review, conducted in accordance with PRISMA 2020 guidelines, synthesizes data from 63 selected studies (spanning 2010–2026) to propose a conceptual “Physiological Competence Framework”. We introduce a conceptual hypothesis termed the “Nitrogen Paradox”, which suggests that excessive ammonium influx may inhibit lignin biosynthesis, explaining the structural vulnerability of the vitrotype. Our analysis proposes three pillars for acclimatization success: (1) Nutritional hardening and exogenous PGR modulation, characterized by reduced nitrogen and sucrose levels to mitigate hyperhydricity; (2) photo-autotrophic induction, where optimized LED spectra replace conventional lighting to stimulate stomatal functionality; and (3) rhizosphere engineering, utilizing bio-priming with Plant Growth-Promoting Rhizobacteria (PGPR) to create a biotic shield against transplant shock. Furthermore, we examine emerging evidence for nanoparticle-based stress priming (AgNPs, ZnNPs). The evidence supports replacing high-nitrogen multiplication media with reduced-nitrogen formulations, replacing fluorescent lamps with balanced Red–Blue LED spectra, and incorporating PGPR bio-priming before transplant. Full article

The increasing demand for better dental aesthetics has driven the development of tooth-whitening techniques that are effective while reducing invasiveness. Hydrogen peroxide (HP) and carbamide peroxide (CP) continue to be the most common active ingredients in bleaching products. Various types of light and laser activation have been introduced to speed up the bleaching process and decrease clinical application time. However, published results regarding their effectiveness and biological safety are inconsistent and sometimes contradictory. Aim: The objective of this study was to identify irradiation conditions that optimise the whitening performance of peroxide-based bleaching agents while ensuring safety for dental hard tissues and ocular structures. This objective was achieved through a systematic synthesis and meta-analyses of both experimental and clinical evidence on bleaching techniques, light or laser activation, and related treatment outcomes. Additionally, the study aimed to provide an integrated overview of currently used irradiation technologies, bleaching agents, treatment protocols, and relevant safety considerations. Methods: A multi-stage analytical approach was employed. Evidence was collected from systematic reviews, randomised and non-randomised clinical trials, and laboratory-based in vitro investigations. The studies assessed differences in bleaching agents (HP and CP), their concentrations, and application protocols, as well as various activation systems, including halogen lamps, conventional LEDs, violet LEDs, metal–halide lamps, and laser wavelengths such as visible blue (~440 nm), red or near-infrared (~1.7 µm), and other spectral ranges. Extracted outcome measures included tooth colour improvement (ΔSGU, ΔE), incidence of tooth sensitivity, changes in enamel surface morphology, temperature increases in the pulp chamber, and the bond strength of restorative or orthodontic materials. When methodological compatibility permitted, quantitative synthesis and meta-analysis were conducted to estimate the effects of activation modalities and irradiation parameters. Results: Analysis of data from 28 systematic reviews and numerous clinical and laboratory studies showed that the degree of colour improvement did not consistently rely on peroxide concentration or on whether bleaching was performed in-office or through home-based protocols. In most studies, adding light activation did not produce a clearly superior whitening effect compared to chemically driven bleaching alone. However, certain laser-assisted methods—especially those using blue diode lasers around 440 nm or near-infrared diode lasers near 1.7 µm—were linked with faster whitening responses and, in several in vitro experiments, fewer enamel surface irregularities. Increases in pulp temperature remained below the generally accepted safety threshold of 5.5 °C in the reported experimental conditions. While laser activation reduced treatment time, some studies observed a temporary decrease in the bond strength of orthodontic brackets following bleaching. Photobiomodulation techniques seem promising for reducing post-treatment sensitivity, although more robust clinical evidence is still needed. Conclusions: Targeted activation with diode lasers, especially within the blue and near-infrared spectral ranges, may speed up the whitening process and potentially minimise structural changes to enamel when irradiation parameters are carefully managed. Despite these positive findings, current clinical evidence remains limited. Well-designed randomised controlled trials with standardised treatment protocols are essential to determine the best wavelengths, energy delivery settings, and safety limits for laser-assisted dental bleaching. Full article

Riemerella anatipestifer (RA) is the primary causative agent of infectious serositis in ducks, causing significant economic losses. In this study, a rapid and visual loop-mediated isothermal amplification (LAMP) assay targeting the conserved region of the ompA gene was developed. Specific primers and a FAM-labeled probe were designed, and amplification products were visualized using phenol red-based colorimetric detection and a lateral flow dipstick (LFD) system. Among the five candidate primer sets, primer set 2 was selected because it showed the highest amplification efficiency and specificity, with no cross-reactivity detected against 12 common waterfowl pathogens. Under optimal conditions, the phenol red-based LAMP assay yielded visible results after incubation at 65 °C for 30 min, while the LAMP-LFD assay required an additional 3~5 min probe hybridization step, with detection limits of 7.76 × 10² copies/μL for the phenol red-based method and 7.76 × 10⁰ copies/μL for the LAMP-LFD method. Thirty clinical samples suspected of RA infection were analyzed using conventional PCR and the developed visual LAMP assays. The positive detection rates obtained with the LAMP-LFD and phenol red-based LAMP methods were 63.3% and 60%, respectively, showing high concordance with conventional PCR (56.7%). In conclusion, the LAMP assay integrating phenol red visualization and lateral flow dipstick detection is rapid, sensitive, and easy to perform, and both detection formats show potential for point-of-care or on-site applications, and can be used for the early diagnosis and detection of RA. Full article

Smartphone-based portable slit lamp microscopes are increasingly used as low-cost tools for anterior segment imaging in teleophthalmology, yet the literature combines heterogeneous study designs, comparator standards, and deployment contexts. Because the evidence base spans engineering reports, basic science, clinical validation studies, implementation research, and case-based telemedicine, we structured a narrative review rather than a pooled meta-analysis. We searched PubMed/MEDLINE, Embase, Scopus, Web of Science, Google Scholar, Cochrane Library, ScienceDirect, and DOAJ for literature available on or before 28 February 2026, supplemented by manual reference list screening and targeted retrieval of relevant technical standards. Peer-reviewed English original studies formed the core evidence base; contextual non-English and gray literature sources were retained only when explicitly labeled as non-core. To improve interpretability, the results were grouped by synthesis domain, clinical task, comparator standard, telemedicine scenario, and artificial intelligence (AI) dataset/validation characteristics. The highest-confidence evidence concerned nuclear cataract grading, tear film breakup time and corneal staining assessment, anterior chamber depth screening, tear meniscus height measurement, allergic conjunctival grading, and selected corneal disorders. Agreement with conventional slit lamp examination or anterior segment optical coherence tomography was generally moderate to high within task-specific comparisons, and telemedicine deployment was feasible for screening, follow-up, remote consultation, emergency triage, house visits, and outreach. However, illumination reporting remains inconsistent, explicit ISO-aligned dosimetry is sparse, and most AI studies remain retrospective, single-center, and device family-specific. Current evidence, therefore, supports smartphone-based portable slit lamp microscopes primarily as adjunctive teleophthalmology tools rather than replacements for comprehensive in-clinic microscopy. The synthesis clarifies where conclusions are supported by comparative validation data, where they remain exploratory, and which methodological gaps should be prioritized in future multicenter studies. Full article

Background/Objectives: Healthcare facilities are among the most energy-intensive public buildings, yet hospital decision-support models rarely integrate energy-related performance indicators alongside operational metrics. This study aims to address this gap by developing a discrete-event simulation framework capable of jointly evaluating clinical efficiency and energy consumption in elective orthopedic surgical pathways. Methods: A comprehensive discrete-event simulation model was developed to represent the diagnostic imaging and orthopedic surgical process. The model was parameterized using a hybrid data-collection approach that combined clinical activity data, scientific literature, and expert judgment. Energy consumption was modeled by differentiating fixed loads, such as heating, ventilation, and air-conditioning systems and lighting, from activity-dependent loads associated with diagnostic and surgical equipment. Baseline performance was assessed and compared with alternative scenarios for organizational and technological improvements. Results: The analysis showed that fixed infrastructural loads, particularly HVAC systems, were the main drivers of per-patient energy consumption, with inefficient space utilization and prolonged idle times. Scenario analysis demonstrated that organizational interventions, such as increasing operating room throughput and optimizing MRI scheduling, can substantially reduce energy intensity by diluting fixed loads and decreasing idle consumption. Technological interventions, such as replacing conventional surgical lamps with LED systems, produced smaller but still beneficial reductions. The combined implementation of organizational and technological strategies yielded the greatest overall improvement. Conclusions: Integrating energy metrics into discrete-event simulation provides effective support for hospital decision-making by revealing the interaction between workflow design, resource utilization, and environmental performance. The findings indicate that organizational redesign, particularly when combined with technological upgrades, can significantly improve both operational efficiency and sustainability in hospital settings. This study highlights discrete-event simulation as a promising tool for energy-aware healthcare planning. Full article

Photovoltaic (PV) power stations are pivotal for the renewable energy transition, yet their operational efficiency is often compromised by defects such as surface dust accumulation and cracks. Traditional manual inspections are labor-intensive and subjective, while conventional monitoring methods struggle with environmental interference. This study proposes YOLO-MSG, a lightweight framework specifically designed for the automated detection of PV module defects during system operation, including normal panels as well as defective conditions such as dusty and cracked panels. The methodology integrates a Multi-Scale Grouped Convolution (MSGC) module for enhanced feature extraction and a Group-Stem Decoupled Head (GSD-Head) to reduce parameter redundancy. Furthermore, a joint optimization strategy involving LAMP and logits-based knowledge distillation is employed to facilitate edge deployment. Experimental results on a specialized PV defect dataset demonstrate that YOLO-MSG achieves a superior balance between detection accuracy and computational cost. Compared to state-of-the-art models like YOLO11 and YOLOv12, YOLO-MSG significantly reduces GFLOPs and parameter count while maintaining highly competitive mean Average Precision (mAP), with improvements of 1.35% in mAP and 2.37% in mAP50-95 over the baseline models. Specifically, the model achieves an average inference speed of 90.30 FPS on the NVIDIA Jetson AGX platform. These findings confirm the algorithm’s industrial viability, providing a robust and efficient solution for the real-time automated maintenance of photovoltaic infrastructures. Full article

Fascioliasis, a globally prevalent zoonosis, severely threatens public health and livestock security. Current diagnostic approaches, hindered by the need for sophisticated instrumentation and specialized expertise, are inadequate for on-site surveillance in resource-constrained settings. This study developed a rapid, visual detection assay for Fasciola hepatica via recombinase-aided amplification (RAA) integrated with CRISPR/Cas12b, addressing critical equipment and operational constraints. Targeting a specific mitochondrial DNA fragment of F. hepatica, recombinant plasmid standards were constructed, RAA primers and sgRNA optimized, and three detection modalities (real-time fluorescence, UV lamp, test strip) integrated. Clinical validation against PCR demonstrated 45 min turnaround time, F. hepatica-specific positivity, and real-time fluorescence sensitivity of 2.6 copies/μL. Results showed high concordance with PCR and qPCR, with substantially reduced assay duration and streamlined workflow. This highly sensitive, specific, multi-visualized method overcomes limitations of conventional techniques, offering an efficient, field-deployable tool for fascioliasis surveillance and control in grassroots and pastoral regions. Full article