Search Results (342)

Background: Hearing loss in children can have a detrimental impact on their development, thus lowering the psychological well-being of parents. This study examined the amount of parental stress, learned helplessness, and perceived social support in mothers of children with hearing loss (MCHL) and mothers of typically developing children (MTDC), as well as the relationship between various possible contributing factors to parental stress such as learned helplessness and perceived social support. Method: Three questionnaires measured parental stress (Parental Stress Scale; PSS), learned helplessness (Learned Helplessness Scale; LHS), and perceived social support (Perceived Social Support-Friends PSS-Fr and Perceived Social Support-Family PSS-Fa Scale) in 100 MCHL and 90 MTDC. All mothers had normal hearing and children aged 1 to 12 years. Mothers of children with any degree of bilateral sensorineural hearing loss, using hearing aids and/or cochlear implants, were included in the MCHL group. Children with hearing loss did not have any additional disabilities. Results: Parental stress and learned helplessness were not significantly different between the groups. The perceived social support was significantly lower in MCHL as compared to MTDC. Pearson correlation analysis with pooled data from both groups showed a small but significant negative correlation between parental stress and perceived social support. A moderately significant positive correlation existed between learned helplessness and parental stress. The relationship between learned helplessness and perceived social support was negative, being small but significant. Conclusions: The study findings indicate that parental stress was similar in both groups. As perceived social support increased, parental stress and learned helplessness decreased. Thus, the present study findings indicate the need for developing greater social support for MCHL. Full article

Background/Objectives: In this study, HECP2k polymer, polyethylenimine2k (PEI2k)-modified hydroxyethyl cellulose (HEC) was utilized to form the nanocomplexes with receptor activator of nuclear factor k-B (RANK) siRNA and zoledronate (Zol) for osteoclast inhibition. HECP2k/(RANK siRNA + Zol) nanocomplexes prepared by simple mixing were anticipated to overcome the low transfection efficiency of siRNA and the low bioavailability of Zol. Methods: The characterization of both HECP2k/(pDNA + Zol) nanocomplexes and HECP2k/(RANK siRNA + Zol) nanocomplexes was performed. Results: The nanocomplexes were successfully formed even in the presence of Zol, showing about 200 nm sizes and about 20 mV of positive zeta potential values suitable for efficient cellular uptake. They also possessed high endosome buffering ability by PEI and Zol, suggesting the potential for efficient endosomal escape. It was found that the low cytotoxic nanocomplexes (>90% cell viability) displayed greater transfection efficiency than PEI25k and even HECP2k polyplexes. Finally, it was found by tartrate-resistant acid phosphatase (TRAP) assay and qPCR analysis that HECP2k/(RANK siRNA + Zol) nanocomplexes could inhibit the TRAP to about 50% value and another characteristic osteoclastic gene expression, increasing FAS gene expression to about 16 times higher than control and more efficiently (about 3 times and 5 times higher, respectively) than HECP2k/siRNA polyplexes and Zol only. Conclusions: HECP2k/(RANK siRNA + Zol) nanocomplexes formed by simple mixing showed great potential for inhibiting osteoclast differentiation and osteoclast activity, inducing the apoptosis via combinatorial effects of RANK siRNA and Zol. Full article

Background/Objectives: Although physical activity and balanced diet may increase peripheral brain-derived neurotrophic factor (BDNF) concentration, little is known about whether these factors modify BDNF content in physically active individuals and whether the serum fatty acid (FA) profile is related. This study aimed to evaluate quality of diet, identify specific dietary patterns and assess their influence on BDNF and FA levels in serum. It is hypothesized that there is a correlation between diet quality and the concentrations of BDNF and FA in the serum of physically active male individuals. Methods: Physically active young adult male students at Jozef Pilsudski University of Physical Education in Warsaw (Poland) were enrolled. Dietary patterns were identified with cluster analysis and linear discriminant analysis (LDA) based on responses to a validated food frequency questionnaire, KomPAN^® version 1.1. Results: Consumption of beverages, vegetables, milk, wholemeal bread/rolls, fruit and vegetable juices, butter, tinned vegetables and fruits were significant in the LDA model, in which three clusters were distinguished. Cluster 1 was characterized by more frequent consumption of wholemeal bread/rolls, milk, fruits, vegetables, fruit and vegetable juices and sweetened hot beverages and by significantly greater values for the pro-healthy diet index (p < 0.0001) and diet quality index (p < 0.0001) compared to Clusters 2 and 3. The diet of Cluster 2 was of the worst quality, as indicated by the higher values of the not-healthy diet index. Cluster 1 had the tendency for the highest BDNF levels (of the best quality of diet), and a tendency for decreased BDNF concentration with an increased physical activity level was observed. Conclusions: Physical activity, diet quality and BDNF level depend, correlate and interact with each other to provide both optimal physical and mental health. Full article

This study investigates the performance of a centrifugal radial turbine within an Organic Rankine Cycle (ORC) system, focusing on operation beyond the design point due to variable waste heat sources. With the goal of integrating the turbine into optimal ORC operating conditions, its performance was analyzed using R245fa as the working fluid over three stages with varying numbers of blades. A detailed computational analysis was performed using Ansys CFX software (Version 2020 R2) with the k-ω SST turbulence model using thermodynamic data from the NIST Refprop database. The results showed significant discrepancies when operating beyond the design point. At an inlet pressure of 780 kPa, the turbine internal power was calculated to be 120 kW—double the manufacturer’s maximum of 60 kW—and the mass flow rate exceeded 6 kg/s compared to the design value of 2.72 kg/s. These results highlight the challenges of adapting the turbine to fluctuating waste heat conditions, as factors such as tip clearance, blade geometry, and high outlet pressure have a significant impact on efficiency and system performance. Full article

Background/Objectives: The incidence of head and neck squamous cell carcinoma (HNSCC), currently ~800,000 cases per year worldwide, is rising. Radiotherapy remains a mainstay for the treatment of HNSCC, although inherent radioresistance, particularly in human papillomavirus (HPV)-negative disease subtypes, remains a significant barrier to effective treatment. Therefore, combinatorial strategies using drugs or inhibitors against specific cellular targets are necessary to enhance HNSCC radiosensitivity to lead to an improvement in patient outcomes. Given that radiotherapy acts through targeting and damaging DNA, a common strategy is to focus on enzymes within DNA-dependent cellular pathways, such as DNA damage repair. Methods: Here, we have employed a 3D spheroid model of HNSCC (FaDu) in combination with a targeted drug screen to identify novel radiosensitisers that suppress tumour growth. Results: We identified that histone deacetylases (HDACs) were prominent candidates, and subsequently identified that the HDAC inhibitors mocetinostat and pracinostat, as well as the combined HDAC–epidermal growth factor receptor inhibitor CUDC-101, were effective at radiosensitising cell models of HNSCC (FaDu, A253, UMSCC11b) through their impact on both spheroid growth and clonogenic survival assays. We also demonstrated that this combinatorial strategy leads to inhibition of the repair of DNA double-strand breaks through the neutral comet assay and γH2AX foci analysis using immunofluorescence microscopy, providing a mechanism of action through which HDAC inhibition functions in HNSCC radiosensitisation. Conclusions: We believe that this approach should be further investigated in preclinical models, in order to realise the full therapeutic potential of HDAC inhibition for the radiosensitisation of HNSCC, eventually leading to improved patient treatment efficacy and outcomes. Full article

After a typhoon disaster, selecting effective paths is crucial for ensuring the efficiency of emergency rescue operations and the distribution of essential supplies, which are vital for sustainable disaster response and community resilience. Current research into disaster scenarios is less aligned with actual scenarios as road conditions are hard to predict. This paper, set against the backdrop of typhoon disasters, employs netizens’ sentiment data to indirectly assess post-disaster road conditions and refine the calculation formula for road failure probabilities. This approach aims to identify failure-resistant paths to guide disaster relief decisions, thereby supporting sustainable disaster relief operations and minimizing resource expenditure. First, an expression form for road segment failure probability is established, considering factors such as tree falls, landslides, and waterlogging. Second, negative sentiment coefficients, derived from social media data analysis, are used to adjust road failure probabilities, reflecting the sentiments of affected communities. Then, a failure-resistant path selection model based on these adjusted road failure probabilities is proposed to enhance the resilience and sustainability of emergency transport paths. Finally, the model’s effectiveness is validated using Typhoon “In-Fa” in Ningbo as a case study. Full article

Wildfires increasingly threaten ecosystems and infrastructure, making accurate burn severity mapping (BSM) essential for effective disaster response and environmental management. Machine learning (ML) models utilizing satellite-derived vegetation indices are crucial for assessing wildfire damage; however, incorporating many indices can lead to multicollinearity, reducing classification accuracy. While principal component analysis (PCA) is commonly used to address this issue, its effectiveness relative to other feature extraction (FE) methods in BSM remains underexplored. This study aims to enhance ML classifier accuracy in BSM by evaluating various FE techniques that mitigate multicollinearity among vegetation indices. Using composite burn index (CBI) data from the 2014 Carlton Complex fire in the United States as a case study, we extracted 118 vegetation indices from seven Landsat-8 spectral bands. We applied and compared 13 different FE techniques—including linear and nonlinear methods such as PCA, t-distributed stochastic neighbor embedding (t-SNE), linear discriminant analysis (LDA), Isomap, uniform manifold approximation and projection (UMAP), factor analysis (FA), independent component analysis (ICA), multidimensional scaling (MDS), truncated singular value decomposition (TSVD), non-negative matrix factorization (NMF), locally linear embedding (LLE), spectral embedding (SE), and neighborhood components analysis (NCA). The performance of these techniques was benchmarked against six ML classifiers to determine their effectiveness in improving BSM accuracy. Our results show that alternative FE techniques can outperform PCA, improving classification accuracy and computational efficiency. Techniques like LDA and NCA effectively capture nonlinear relationships critical for accurate BSM. The study contributes to the existing literature by providing a comprehensive comparison of FE methods, highlighting the potential benefits of underutilized techniques in BSM. Full article

Background/Objectives: The general use of triclosan-coated suture material (TCSM) for wound closure to prevent surgical site infections (SSIs) remains controversial. There is no conclusive evidence in the literature to support this and recommendations by professional organizations are contradictory. Therefore, the main objective of the study was to evaluate the 30-day rate of surgical site infections (SSIs) after elective open abdominal surgery using triclosan-coated versus uncoated running sutures (NCSM) for skin closure. Methods: This prospective, randomized, double-blinded study enrolled patients scheduled for open elective abdominal surgery, intraoperatively assigned to either the use of triclosan-coated or non-coated sutures for skin closure. The follow up was 30 days after surgery to detect SSIs. Secondary endpoints were wound dehiscence and reoperation rate due to wound dehiscence within 30 days, all-cause 30-day mortality and length of hospital stay. Potential risk factors for poor wound healing were evaluated in multivariate analysis. Data were analyzed in an intention to treat analysis. Results: In total, 364 patients (171 males [47%]) were randomized, 182 in either group. Six underwent urgent reoperation prior to first visit and were excluded from analysis. In the full analysis set (FAS), 358 were analyzed. SSI within 30 days occurred in 22 [12.2%] patients in the control group compared to 32 [18%] in the study group. The risk difference was not statistically significant (5.8%; 95% confidence interval (CI) −1.6–13.2%; p = 0.128). The wound dehiscence rate within 30 days was 14 of 179 [7.8%] in the NCSM group vs. 19 of 178 [10.7%] in the TCSM group. The difference in re-operation rates due to wound dehiscence was 0 of 179 [2.8%] vs. 5 of 178 [2.8%] in either group and not statistically significant (p = 0.0706). Among all patients recruited, 8 died within 30 days after surgery. Three of them died before the first assessment of the primary endpoint on day 3 and were therefore excluded from the FAS. The 30-day mortality rate was 2 of 180 [1.1%] in the NCSM group vs. 3 of 178 [1.7%] in the TCSM group. The majority of SSIs occurred in the superficial layer of the wound in both study groups (8.9% vs. 9.6%). The median [inter quartile range (IQR)] length of hospital stay was 13 [9.0, 19.2] days in the NCSM group vs. 11 [9.0, 16.8] days in the TCSM group There was a tendency towards shorter hospitalization in the study group (0.72 days [6%]). Conclusions: Our prospective randomized controlled trial could not confirm the superiority of TCSM for skin closure after elective open abdominal surgery in terms of SSI rates in a 30-day follow up period. Therefore, based on our results, a general recommendation for its use in all surgical fields cannot be justified. Full article

The muskrat (Ondatra zibethicus) is an animal with special economic significance whose scented glands rapidly atrophy during the non-breeding season, but the mechanism of atrophy is not clear, with significant differences in apoptotic and pyroptotic signaling pathway expression according to transcriptome sequencing. During the non-breeding season, key apoptosis-related genes such as Tnfr1 (TNF Receptor Superfamily Member 1A), TRADD (TNFRSF1A Associated via Death Domain), FADD (Fas Associated via Death Domain), Casp-8 (Cysteine-aspartic proteases-8), and Bax (Bcl-associated X protein) were upregulated in the scented glands, while Bcl2 (B-cell lymphoma-2) expression was downregulated. In the classical pyroptosis pathway, the mRNA expression levels of key genes including Nlrp3 (the Nod-like receptor family pyrin domain-containing 3), ASC (the apoptosis-associated speck-like protein), Casp-1 (Cysteine-aspartic proteases-1), Gsdmd (Gasdermin D), and IL-1β (Interleukin 1 Beta) were higher during the non-breeding season, similar to the transcription level of Ripk1 (Receptor Interacting Serine/Threonine Kinase 1) in the non-canonical pyroptosis pathway, while TAK1 (transforming growth factor kinase) expression was downregulated in this latter pathway. TUNEL assays and immunofluorescence analysis indicated increased apoptosis and GSDMD and Caspase-8 protein levels during the non-breeding season. Indeed, the protein levels of GSDMD-N, Caspase-8 p43, and Caspase-8 p18 were significantly higher during the non-breeding season, while the GSDMD levels were significantly lower compared to the secretion season. These results suggest that apoptosis and pyroptosis play regulatory roles in scented gland atrophy and that there is an interplay between them during this process. Full article

Food allergies (FAs) represent a significant and growing global health issue, with increasing prevalence across different age groups. This review provides a comprehensive analysis of the epidemiology, mechanisms, and risk factors involved in FA development. Currently, FAs are estimated to affect 2% of the general population, with higher rates in children (~8%). However, these figures may be inaccurate because of the reliance on self-reported data and immunoglobulin E (IgE) testing, which may not reflect clinically confirmed cases. Environmental and genetic factors, including exposure to bacterial toxins, dietary habits, and the gut microbiota, play critical roles in FA development. Specifically, Staphylococcus aureus enterotoxins are implicated in disrupting intestinal barriers and enhancing immune sensitization to allergenic proteins. This immune dysregulation promotes Th2 responses and compromises regulatory T cell function, crucial elements in allergy pathogenesis. As the prevalence of FAs continues to rise, there is a pressing need for accurate diagnostic tools, heightened public awareness, and effective prevention strategies. Further research is needed to elucidate the specific role of bacterial toxins and other environmental factors in FA development to advance clinical management approaches. Full article

The advancement of geological big data has rendered data-driven methodologies increasingly vital in Mineral Prospectivity Mapping. The effective integration of quantitative and qualitative data, including experiential and knowledge-based insights, is crucial in geological data fusion. Specifically, the conversion of raw data into samples and the selection of predictive methods are two core issues that constitute the focus of this study. Traditional clustering methods require the user to specify the number of clusters in advance. The two-step clustering can automatically determine the clustering result ‘k’ while analyzing both continuous and categorical variables, by building a Cluster Feature (CF) and using information criteria to merge nodes. In this study, we conducted an analysis utilizing stream sediment element data, residual gravity anomalies, and fault distribution through the two-step clustering method. Factor analysis (FA) was employed to reduce 16 elemental variables from stream sediments into five uncorrelated continuous variables; additionally, residual gravity anomalies were transformed from continuous to categorical variables via an interval-based method before being combined with fault distribution, resulting in seven variables for clustering. The research findings indicate that categorical variables significantly influence clustering results; concurrently, as the importance of continuous variables within the cluster increases, so does k. When only one categorical variable is present, residual gravity anomalies show significantly better clustering than fault distribution; however, when two categorical variables are involved, it is essential to consider the quantity of categories: more categories lead to poorer quality. The results from the Jiaolai Basin’s northeastern margin indicate a significant correlation with known gold deposits; two-step clustering is a promising and effective method for improving mineral prospecting efforts. Full article

Superoxide dismutases (SODs), as the first line of defense against reactive oxygen species (ROS), play an essential role in protecting plants from adverse elicitors during plant growth and development. However, little is known about the SOD gene family and their response to salinity stress and fruit development in cultivated strawberries (Fragaria × ananassa). In this study, 32 SOD genes consisting of 16 Cu/ZnSODs, 11 FeSODs, and 5 MnSOD were identified, which presented three well-resolved clades in the phylogenetic tree. Each clade had similar motifs, and exon–intron structures, which in turn supported the evolutionary classification. Cis-acting element analysis suggested that FaSOD genes might be involved in the plant response to abiotic and biotic stresses, hormones, and light. The analysis of previously published transcriptome data revealed that FaSOD genes are expressed variably under salt stress. Among these SODs, FaMSD5 was expressed at relatively high levels in strawberry root and leaf, and its transcript abundance significantly increased after salt treatment. Some transcription factors related to photomorphogenesis, hormone signaling pathways, and hyperosmotic salinity response were predicted to bind to the FaMSD5 promoter. These outcomes implied that FaMSD5 might play an important role in protection against salt stress. In addition, the comprehensive transcriptome analysis of FaSOD genes in strawberry fruit showed that almost all FaCSDs and FaMSDs were more highly expressed than FaFSDs at different developmental stages, and the expression patterns of FaCSD1, FaCSD2, FaCSD7, FaCSD8, and FaCSD10 suggested that they were likely to be involved in fruit development and ripening. This study provides a basis for further exploration of the function of the FaSOD gene family in strawberry and provides candidate FaSOD genes for enhancing salinity tolerance and regulating fruit development and ripening. Full article

Due to low temperature environments and other factors, the performance of cement slurry is affected by deep-water shallow formation cementing, which makes it difficult to ensure the interface bonding quality. The objective of this study is to investigate the effect of fly ash (FA), metakaolin (MK), and microsilica (MS) as supplementary cementitious materials (SCMs) by replacing 5–20% of the cement on the bonding property of cement with casing in the shallow formations of deep-water environments. This is based on the cementing conditions for the 20″ surface casing in the deep-water shallow formation of the LS18-1 well area. Under the 30 °C experimental conditions, the results showed that the compressive and bonding strength of cement with FA and MS decreased gradually as their dosage increased. In contrast, compared with the control group (BG0), the compressive strength of the MK group increased by 25.6%, 32.1%, and 24.2% under the optimal dosages (MK15, MK15, MK20) at 3, 7, and 14 days (d), and the bonding strength increased by 73.6% at 3 d (MK15) and 34.9% at 7 d (MK15). The test analysis showed that MK can promote cement hydration and generate more hydration products, which are conducive to cement-casing interface cementation. Additionally, it can improve the pore structure, reduce the fractal dimension of the pore volume, and ensure a more reasonable distribution of cement stone crack openings. Full article

Accurately grasping users’ Kansei needs and rapidly transforming them into product design solutions are key factors in enhancing product competitiveness and sustainability. This paper proposes a product appearance design method based on Kansei engineering and AI image generation technology, integrating other approaches, with household indoor hydroponics as the research subject. First, the web crawler is used to obtain product image samples and user online reviews, and factor analysis (FA) is applied to quickly extract users’ Kansei needs. Second, product morphology is used to deconstruct and encode product appearances. Partial least squares regression (PLSR) is then employed to map and quantify the relationships between Kansei needs and design elements, yielding optimal design solutions and one-dimensional sketches. These sketches are subsequently used as controlled conditions in Stable Diffusion (SD), combined with a team-trained Lora model, to generate two-dimensional colored sketches in batches. Finally, evaluations verify that the generated design solutions are satisfactory and meet users’ Kansei needs. The results indicate that the proposed product appearance design method not only holds significant implications for the sustainable development of Kansei engineering in product design but also greatly enhances the efficiency of the design process, providing new insights into integrating new technologies and scientific research methods in the field of product design. Full article

Corn is one of the global staple grains and the largest grain crop in China. During harvesting, grain separation, and corn production, corn is susceptible to mechanical damage including surface cracks, internal cracks, and breakage. However, the internal cracks are difficult to observe. In this study, hyperspectral imaging was used to detect mechanical damage in corn seeds. The corn seeds were divided into four categories that included intact, broken, internally cracked, and surface-crackedtv. This study compared three feature extraction methods, including principal component analysis (PCA), kernel PCA (KPCA), and factor analysis (FA), as well as a joint feature extraction method consisting of a combination of these methods. The dimensionality reduction results of the three methods (FA + KPCA, KPCA + FA, and PCA + FA) were combined to form a new combined dataset and improve the classification. We then compared the effects of six classification models (ResNet, ShuffleNet-V2, MobileNet-V3, ResNeSt, EfficientNet-V2, and MobileNet-V4) and proposed a ResNeSt_E network based on the ResNeSt and efficient multi-scale attention modules. The accuracy of ResNeSt_E reached 99.0%, and this was 0.4% higher than that of EfficientNet-V2 and 0.7% higher than that of ResNeSt. Additionally, the number of parameters and memory requirements were reduced and the frames per second were improved. We compared two dimensionality reduction methods: KPCA + FA and PCA + FA. The classification accuracies of the two methods were the same; however, PCA + FA was much more efficient than KPCA + FA and was more suitable for practical detection. The ResNeSt_E network could detect both internal and surface cracks in corn seeds, making it suitable for mobile terminal applications. The results demonstrated that detecting mechanical damage in corn seeds using hyperspectral images was possible. This study provides a reference for mechanical damage detection methods for corn. Full article