Search Results (96)

Insects are continuously exposed to diverse microorganisms, including symbionts and pathogens, and rely on pattern-recognition receptors (PRRs) to initiate innate immune responses. Gram-negative bacteria-binding proteins (GNBPs) constitute an important class of the pivotal PRRs in insect immunity. However, whether GNBPs participate in immune responses against taxonomically distinct pathogens remains poorly understood. Red palm weevil (RPW), Rhynchophorus ferrugineus, is a notorious stem-boring insect pest that has caused huge economic loss worldwide. Our preliminary data indicated that the expression of RfGNBP5 could be induced dramatically upon the challenge of non-entomopathogenic bacteria Escherichia coli, Staphylococcus aureus and entomopathogenic fungus Beauveria bassiana. Here, it has been found that RfGNBP5 only possesses two conserved domains, a signal peptide and an intact glycoside hydrolase 16 (GH16) domain, but without the canonical carbohydrate-binding module (CBM39), implying that it might mediate insect immunity via its hydrolytic activity. RT-qPCR revealed that RfGNBP5 was expressed at the highest level in the hemolymph compared with other tissues and was significantly upregulated after exposure to pathogens, such as Escherichia coli, Staphylococcus aureus and Beauveria bassiana. Furthermore, the knockdown of RfGNBP5 potentiated the clearance efficiency of hemolymph against the invading pathogenic bacteria and fungi by increasing the expression level of two antimicrobial peptide genes, including RfAttacin in fat body and RfColeoptericin in gut, and augmenting the phenoloxidase (PO) activity in hemolymph. Taken together, these results suggested that RfGNBP5 acts as a negative regulator of RPW immunity, and it might be a potential candidate for further evaluation in RNAi-based pest management. Full article

This study proposes a real-time data-based Digital Value Stream Mapping (Digital VSM) framework that integrates Artificial Intelligence (AI) feature selection and discrete-event simulation validation to enhance production system performance. Unlike conventional VSM approaches that rely on static, manually aggregated data, the proposed framework uses real-time operational data to dynamically quantify Value Added (VA), Non-Value Added (NVA), and Necessary Non-Value Added (NNVA) activities. To improve decision accuracy, an Artificial Neural Network (ANN) combined with Genetic Algorithm (GA) feature selection is employed to identify dominant production variables influencing lead time and line imbalance. Furthermore, Ranked Positional Weight (RPW) optimization results are validated through Tecnomatix Plant Simulation to ensure robustness before physical implementation. The proposed framework was applied to a discrete manufacturing line, resulting in a reduction of total lead time from 8755 s to 6400 s and an increase in process ratio from 33.64% to 45.91%, with line efficiency reaching 91.7%. The findings demonstrate that integrating Digital VSM with AI-driven feature selection and simulation validation transforms Lean analysis from a descriptive tool into a predictive and validated decision-support system suitable for Industry 4.0 environments. Full article

Current sustainability discourse promotes sustainable yard practices as a means for residents to contribute to urban environmental health and soil conservation. Social–ecological research suggests that yard practices are shaped by multiscale social drivers, including social contagion, whereby visible expressions of individuality in front yard design are copied by nearby neighbors. This study evaluated residential areas within the Río Piedras Watershed (RPWS) in the San Juan metropolitan area to assess evidence of social contagion in front yard configuration and vegetation structure, and to examine whether these variables were associated with socio-demographic and economic characteristics when spatial effects were considered. A total of 6858 front yards across six highly urbanized sites were analyzed using Google Earth Street View imagery. Housing lot sizes were quantified, and yards were classified into eight landscape configurations based on green and gray cover elements. Woody vegetation structures, including trees, shrubs, and palms, were also quantified to generate estimates of functional diversity and a front yard quality index. Significant differences in yard characteristics were observed among sites. Spatial analyses revealed significant clustering at distances of 65–80 m, particularly for front yard configuration, while clustering of woody vegetation density was weaker. Local clustering patterns and the distribution of outliers varied across sites. Spatial lag models indicated that lot area positively influenced yard configuration and quality, and the density and diversity of woody vegetation. While socio-economic variables were not significant predictors of yard quality, their effects cannot be discarded. Overall, results are consistent with social contagion processes but also highlight neighborhood design as a key driver of clustering, alongside widespread conversion of green to paved front yards, with implications for soil and green infrastructure loss as well as environmental and human health in the RPWS. Full article

Continuous blood pressure (BP) monitoring is essential for the prevention and management of cardiovascular diseases. Traditional cuff-based methods cause discomfort during repeated measurements, and wearable sensors require direct skin contact, limiting their applicability. Radar-based contactless BP measurement has emerged as a promising alternative. However, radar pulse wave (RPW) signals are susceptible to motion artifacts, respiratory interference, and environmental clutter, posing persistent challenges to estimation accuracy and robustness. In this paper, we propose MARU-MTL, a Mamba-enhanced multi-task learning framework for continuous BP estimation using a single millimeter-wave radar sensor. To address signal quality degradation, a Variational Autoencoder-based Signal Quality Index (VAE-SQI) mechanism is proposed to automatically screen RPW segments without manual annotation. To capture long-range temporal dependencies across cardiac cycles, we integrate a Bidirectional Mamba module into the bottleneck of a U-Net backbone, enabling linear-time sequence modeling with respect to the segment length. We also introduce a multi-task learning strategy that couples BP regression with arterial blood pressure waveform reconstruction to strengthen physiological consistency. Extensive experiments on two datasets comprising 55 subjects demonstrate that MARU-MTL achieves mean absolute errors of 3.87 mmHg and 2.93 mmHg for systolic and diastolic BP, respectively, meeting commonly used AAMI error thresholds and achieving metrics comparable to BHS Grade A. Full article

The invasive red palm weevil (Rhynchophorus ferrugineus, RPW) poses a severe threat to heritage palm collections across the Mediterranean Region, necessitating robust protection strategies. This study addresses the urgent challenge of safeguarding the Spanish Phoenix Collection at Miguel Hernandez University (EPSO) and the Orihuela Palmetum by analyzing the efficacy of applied Integrated Pest Management (IPM) strategies over a ten-year period (2014–2024). Monitoring and treatment protocols included targeted chemical, biological, and cultural controls, and were benchmarked against infestation progression data, climatic trends, and comparative case studies from Murcia, Elche, Nice, and Palermo. Results indicate that a proactive, multi-component IPM strategy, especially when coupled with probabilistic risk models, can significantly improve survival and recovery indicators in Phoenix taxa, although species-specific susceptibility to RPW was a major differentiating factor. Comparative analysis reveals common regional patterns in R. ferrugineus management but underscores the critical need for collection-specific, resource-sensitive protocols for high-value heritage plants, demonstrating that evidence-based best practices and coordinated monitoring are essential for effective heritage palm conservation amid continuous pest pressure. Full article

Anterior Cruciate Ligament (ACL) injuries are among the most common knee injuries sustained during sport. Following injury, only 65% of patients may return to their previous level of sport. Individuals who have suffered ACL injury are far more likely to develop post-traumatic osteoarthritis of the knee (PTOA). This suggests an unmet need for strategies to help advance return to play, reduce risk of PTOA, and provide additional options for pain management after ACL injury. Extracorporeal shockwave therapy (ESWT) and radial pressure waves (RPW) are non-invasive treatment options that have been shown effective for treatment of a variety of orthopedic injuries. This perspective proposes the use of ESWT and RPW as treatment options during the peri-operative and post-operative management of ACL injuries, with the goal of modifying risk for PTOA. The available literature indicates that ESWT may have chondroprotective effects after ACL injury, and numerous clinical trials demonstrate the effectiveness of ESWT and RPW for orthopedic conditions including tendinopathy or bone marrow edema. Limited data and a lack of consensus on standardized rehabilitation protocols present gaps in the literature and emphasize the need for research leading to evidence-based recommendations for the use of ESWT and RPW to modify risk for the onset of PTOA after ACL injuries. Full article

Chemical defenses help insects resist pathogen infection. The volatile compositions, emission patterns, and external immune functions of the red palm weevil (RPW), a major invasive pest now established in numerous countries including the Mediterranean Basin, North Africa, Middle East, and parts of Latin America and the Caribbean, are largely unknown. In this study, we examined RPW larval volatiles, analyzing their emission patterns across developmental stages and under pathogen stress from feeding Metarhizium anisopliae. RPW larvae shared a number of volatile components across stages, but the emission dynamics were significantly different. These volatile chemicals were primarily alcohols, phenols and aromatic hydrocarbons, and styrene was the predominant volatile. Furthermore, pathogen stress induced distinct volatile profiles: phenylacetaldehyde unidirectionally decreased, whereas n-nonanol, 4-ethylguaiacol, 2-phenylethanol, hexanal, and benzophenone levels increased. Antimicrobial analysis showed that these upregulated compounds broadly inhibited fungal and bacterial growth. Therefore, our results illustrated the immune defense role of RPW larval volatiles and their potential bioactive compounds, including n-nonanol, 4-ethylguaiacol, 2-phenylethanol, hexanal, and benzophenone. Full article

p-Benzoquinone (PBQ), a highly toxic compound, is the main active component in larval oral secretions of red palm weevil (RPW), Rhynchophorus ferrugineus, playing critical roles in external immunity and pathogen defense. In this study, we demonstrated that pathogens effectively induce RPW larval external immune responses. On this basis, the toxicity of PBQ to third-instar larvae was determined, with poisoning symptoms observed. The differences in gene expression between larvae before and after treatment with PBQ were analyzed by transcriptome sequencing to potentially involve the mechanisms of PBQ toxicity on larvae and the mechanisms of detoxification in the infected larvae. The results indicated that PBQ exposure was associated with altered expression of chitinase (CHI) and phenoloxidase (PO) genes in RPW larvae, which not only affects the digestion and degradation of the old cuticle but also activates phenoloxidase, further oxidizing tyrosine for its conversion into DOPA and dopamine, resulting in the generation of melanin and different degrees of cuticular melanization. The transcriptional changes further suggest that RPW larvae may employ metabolic processes to counteract the external immune-active compound PBQ toxicity by regulating the expression levels of detoxifying enzyme-encoding genes, such as cytochrome P450 (CYP450), glutathione S-transferase (GST), and ATP-binding cassette transporter (ABC). Our research provides potential novel strategies for pest control by targeting insect metabolic detoxification systems. Full article

Polymer-based product usage in modern society is increasing day by day. Following usage, these inert products and hydrophobic materials contribute to environmental pollution, often accumulating as litter in ecosystems and contaminating water bodies. The rapid socio-economic development in the Kingdom of Saudi Arabia (KSA) has resulted in a significant increase in waste generation. This study was conducted on the utilization of recycled plastic waste (RPW) polymer along with commercial polymer (CP) for the modification of the local binder. The hot environmental conditions and increased traffic loading are the major reasons for the permanent deformation and thermal cracks on the pavements, which require improved and modified road performance materials. The Ministry of Transport and Logistical Support (MOTLS) in Saudi Arabia, along with other related agencies, spends a substantial amount of money each year on importing modifiers, including chemicals, hydrocarbons, and polymers, for modification purposes. This research was conducted to investigate and utilize available local recycled plastic materials. Comprehensive laboratory experiments were designed and carried out to enhance recycled plastic waste, including low-density polyethylene (rLDPE), high-density polyethylene (rHDPE), and polypropylene (rPP), combined with varying percentages of commercially available polymers such as Styrene-Butadiene-Styrene (SBS) and Polybilt (PB). The results indicated that incorporating recycled plastic waste expanded the binder’s susceptible temperature range from 64 °C to 70 °C, 76 °C, and 82 °C. The resistance to rutting was shown to have significantly improved by the dynamic shear rheometer (DSR) examination. Achieving the objectives of this research, combined with the intangible environmental benefits of utilizing plastic waste, provides a sustainable pavement development option that is also environmentally beneficial. Full article

Background: Extracorporeal Shockwave Therapy (ESWT) for targeting myofascial tissues is gaining increasing interest for the treatment of musculoskeletal disorders. This review evaluates the mechanisms, applications, and effectiveness of ESWT in managing myofascial pain syndrome (MPS) while identifying methodological gaps in existing research. Methods: A systematic search of PubMed, PEDro, and Cochrane Central Library was conducted up to August 2025, focusing on studies from existing meta-analyses, particularly randomized controlled trials. Eligible studies were selected based on predefined criteria, including the use of ESWT for MPS treatment, methodological rigor, and adherence to standardized protocols. Data were extracted on diagnostic criteria for MPS and myofascial trigger points (MTrPs), shockwave application parameters, adherence to International Society for Medical Shockwave Treatment (ISMST) guidelines, follow-up periods, and treatment efficacy. Results: significant inconsistencies were identified in MPS diagnosis, shockwave application technique, and study follow-up periods. Many studies did not adhere to ISMST guidelines, with variations in energy levels, impulses, and differentiation between radial pressure wave (RPW) and focused ESWT (fESWT). One-third of the studies had follow-up periods of two weeks or less, limiting the assessment of long-term outcomes. Despite these limitations, ESWT demonstrated moderate to good efficacy compared with controls. Conclusions: While ESWT appears effective for MPS, methodological inconsistencies prevent definitive conclusions. Future research should standardize protocols, differentiate RPW from fESWT, and include longer follow-up periods to optimize therapeutic potential and validate ESWT as a treatment for MPS. Full article

The increasing demand for sustainable construction materials has driven research into low-carbon geopolymers that mitigate both cement-related emissions and plastic and glass waste accumulation. This study explores the development of geopolymer concrete incorporating fly ash (FA), slag (S), and FA + S blends, with 10% recycled crushed glass (RCG) and recycled plastic waste (RPW) as partial coarse aggregate replacements. Compressive strength testing revealed that FA + S-based geopolymers (25FA + S) with 100% ordinary Portland cement (OPC) replacement achieved a 7-day strength of 24.6 MPa, representing a 98% improvement over control specimens. Slag-based geopolymers demonstrated water absorption properties comparable to OPC, indicating enhanced durability. Microstructural analyses using SEM, XRD, and EDS confirmed the formation of a dense aluminosilicate matrix, with slag promoting FA reactivity and reinforcing interfacial transition zone (ITZ). These effects contributed to superior mechanical performance and water resistance. Despite minor shrinkage-induced cracking, full OPC replacement with S or FA + S geopolymers outperformed control specimens, consistently exceeding the target strength of 15 MPa required for low-impact, single-story housing applications within seven days. These findings underscore the potential of geopolymer systems for rapid and sustainable construction, offering an effective solution for reducing carbon footprints and repurposing industrial waste. Full article

This study assessed the growth performance of red palm weevil (RPW) (Rhynchophorus ferrugineus: Curculionidae) larvae on a liquid diet of yeast-enriched potato dextrose broth (control) and on diets with added polystyrene and polyurethane. For 15 days of diet exposure, the growth and survival, plastic degradation, and gut microbiota of larvae were examined. RPWs showed higher survival rates under polystyrene and polyurethane treatments than in the control group. Head diameter showed a higher trend under polyurethane treatment than under the other treatments. Treated plastics were partly degraded after a 15-day exposure. Further analysis of plastic residues from frass revealed significant differences in Fourier Transform Infrared Spectroscopy (FTIR), with decreased intensity of characteristic peaks compared to frass from larvae fed in the control. Gut bacterial communities in the gut of RPW larvae showed that plastic feeding did not significantly alter the presence of key microbial taxa, but members of Firmicutes and Proteobacteria were higher in the plastic treatment, showing preliminary signs of plastic oxidation and degradation. Overall, these findings provide evidence that ingestion of PS and PU by RPW larvae supports their survival and alters their gut microbiota, possibly due to plastic degradation, paving the way for further research into the interactions between RPWs, their microbiome, and key functional activities, with implications for plastic waste management and recycling. Full article

Insect-specific pathogens present a sustainable alternative to pesticides for managing the red palm weevil (RPW). This study assessed the efficacy of Steinernema carpocapsae ALL nematodes and their symbiotic bacteria against the third-instar larvae and adults of RPW under laboratory conditions. The symbiotic bacteria were isolated, morphologically characterized, and genetically identified. The results indicated that the mortality rates of RPW larvae treated with S. carpocapsae exceeded 50% in all treatments at 120 h, reaching 93.33% at a concentration of 250 IJs/mL. The morphology of isolated symbiotic bacterium from S. carpocapsae on NBTA medium exhibited a light green color with a glossy surface, a raised center, and a mucilaginous texture. A novel strain of symbiotic bacterium was identified and named as LZ-G7. The bacteria toxicity on RPW adults showed a notable mortality rate of 66.67% at 48 h after feeding with concentration of 10 × 10⁷ CFU/mL. The mortality rate of the third-instar larvae of RPW reached 83.33% after feeding with 0.30 × 10⁸ CFU/g at 96 h and 93.33% after injection into blood cavity with 8 × 10⁶ CFU at 48 h. These results suggest that S. carpocapsae and a novel symbiotic bacterium strain exhibit strong virulence against RPW and have the potential to serve as effective biological control agents in integrated pest management strategies. Full article

Xanthan is a highly relevant commercial microbial biopolymer. Its production occurs in two steps: the bacterium is cultivated in a nitrogen-rich medium for cell multiplication, and the obtained biomass is used as an inoculum for the polymer production phase. Different media compositions for cell growth were investigated, seeking to reduce or replace the peptone used in the standard medium. Peptone (P), yeast extract (YE), and rice parboiling water (RPW) concentration combinations were tested in cultivating Xanthomonas arboricola pv. pruni 101. A CRD 2³ design, performed in a shaker, was used to assess the effects of independent variables on xanthan pruni microbial growth, N consumption, yield, viscosity, pseudoplasticity, and xanthan mineral content. After 24 h an increase in N was observed, without any significant impact on cell growth. Xanthan yield increased as a result of the alternative treatments, with P and YE influencing positively. However, T1, with the lowest levels of P, YE, and RPW increased viscosity and pseudoplasticity of xanthan pruni. RPW increased phosphorus, silicon, calcium, and magnesium, and P and YE increased potassium. These results indicate that partial replacement of P by RPW and YE is an economically viable and sustainable approach for the xanthan pruni production. Full article

The Red Palm Weevil (RPW, Rhynchophorus ferrugineus) is a destructive pest of palm plants that can cause the death of the entire plant when infested. To enhance the efficiency of RPW control, a novel detection and tracking algorithm based on the joint YOLOv5-DeepSort algorithm is proposed. Firstly, the original YOLOv5 is improved by adding a small object detection layer and an attention mechanism. At the same time, the detector of the original DeepSort is changed to the improved YOLOv5. Then, a historical frame data module is introduced into DeepSort to reduce the number of target identity (ID) switches while maintaining detection and tracking accuracy. Finally, an experiment is conducted to evaluate the joint YOLOv5-DeepSort detection and tracking algorithm. The experimental results show that, in terms of detectors, the improved YOLOv5 model achieves a mean average precision (mAP@.5) of 90.1% and a precision (P) of 93.8%. In terms of tracking performance, the joint YOLOv5-DeepSort algorithm achieves a Multiple Object Tracking Accuracy (MOTA) of 94.3%, a Multiple Object Tracking Precision (MOTP) of 90.14%, reduces ID switches by 33.3%, and realizes a count accuracy of 94.1%. These results demonstrate that the improved algorithm meets the practical requirements for RPW field detection and tracking. Full article