Search Results (110)

Visible-light photocatalysis enables the integration of classical electrophile/nucleophile chemistry with radical species (free radicals, radical cations, and radical anions) and metallocomplexes, significantly expanding the scope of organic transformations. Substrates capable of generating radicals via single-electron transfer (SET) are therefore of high value in this field. Among conventional radical precursors, organic peroxides occupy a distinctive position due to their unique reactivity. They can generate both oxygen-centered and carbon-centered radicals through either oxidative or reductive SET pathways. Furthermore, organic peroxides can act as radical precursors, nucleophiles, and oxidants. The review emphasizes the advancements of visible-light-mediated reactions utilizing the broad potential of organic peroxides for constructing various chemical bonds. Full article

The interface between synthetic materials and biological systems is a critical determinant of performance in medical devices and biosensors. This review examines the evolution of biointerface science through the lens of self-assembled monolayers (SAMs) of thiols on gold, a model system that offers atomic-level control over surface chemistry. We trace the field from the foundational structural characterization to the establishment of empirical design rules for bio-inertness. While early theoretical models attributed protein resistance to steric repulsion forces in polymer brushes, contemporary understanding has shifted toward the “water barrier” hypothesis, which posits that tightly bound interfacial water prevents direct biomolecular contact. We highlight recent studies that extend these concepts into “realistic” crowded biological environments. Their work reveals that fouling surfaces in crowded media generate a “viscous interphase layer” (VIL) that extends tens of nanometers into solution, whereas zwitterionic surfaces maintain a robust hydration shell that prevents this accumulation. Furthermore, this hydration barrier is shown to fundamentally alter bacterial mechanics, forcing microorganisms into a reversible, tethered “hovering” state at a significant biological interaction distance (>100 nm) from the surface, effectively precluding biofilm nucleation. These insights underscore that the future of antifouling material design lies in the precise engineering of interfacial hydration structures. Full article

Objectives: Iron deficiency impairs intestinal mucosal structure and function, yet its impact on intestinal stem cells (ISCs) remains unclear. This study was therefore designed to examine how iron deficiency affects the proliferation and differentiation of ISCs. Methods: Iron-deficient mouse and enteroid models were established. Expression of key cell markers was analyzed using Western blot, qPCR, and immunofluorescence. Results: Iron deficiency led to structural impairment of the intestinal mucosa, characterized by decreased small intestinal villus height. In iron-deficient mice, expression of ChrA (enteroendocrine cell marker), Lyz (Paneth cell marker), and Muc2 (goblet cell marker) was significantly downregulated across duodenum, jejunum and ileum, whereas Vil1 (enterocyte marker) expression increased. Moreover, both Lgr5 (an ISC marker) expression and the number of Ki67-positive proliferating cells were significantly reduced, along with a decrease in Ki67 transcriptional levels under iron-deficient conditions. Similarly, deferoxamine (DFO)-treated enteroids showed fewer Lgr5-positive ISCs, downregulation of Lgr5, Lyz and Muc2, and upregulation of Vil1. RNA-seq further confirmed that iron deficiency skews ISC differentiation toward absorptive lineage. This shift was associated with modulation of the Notch signaling pathway: upregulation of the ligand Dll1, receptors Notch2 and Notch3, and the protease ADAM10, alongside downregulation of the negative regulator Atoh1. These findings indicate that Notch pathway activation promotes enterocyte differentiation under iron deprivation. Conclusions: Iron deficiency suppressed the proliferation of ISCs and induced their differentiation toward enterocytes, which is associated with the modulation of the Notch signaling pathway, providing a mechanistic insights for impaired intestinal repair and the potential for nutrient-targeted therapies. Full article

Urban coastal areas along the Mediterranean are exposed to short-duration convective rainfall, producing infrastructure disruptions and flood-related impacts. This study analyzes 45 rainfall episodes in the Metropolitan Area of Barcelona between 2014 and 2022, combining radar products, rain gauge observations, and urban-scale impact datasets. Storm radar tracking enabled the identification of key spatiotemporal features and assessment of short-term forecasting performance. Convective cells were typically short-lived, lasting less than 30 min in most cases. The main goal of the research has been the comparison between VIL density (DVIL) radar field and short-duration rainfall intensity provided by rain gauges. This is the first study comparing both data types, being a pioneer in this field. We have found a linear relationship between both data types, with weaker values for larger values. More persistent cells had higher DVIL values, observing a difference in behavior with a break point at 2 g/m³. The tracking and nowcasting system were evaluated based on its ability to anticipate convective precipitation. It achieved good scores values (POD of 0.73 and FAR of 0.33), considering the difficulties of tracking this type of convective system. Finally, false alarms associated with elevated DVIL values suggested the difficulty of capturing storm severity by surface-based precipitation measurements. Full article

Modern agricultural production faces challenges, caused by soil degradation, declining natural fertility, and a lack of organic matter and productive moisture in the arable layer, which is especially relevant in the context of global climate change and rising prices for fuel and lubricants, mineral fertilizers, and plant protection products. Five tillage systems (moldboard, flat-cut, adaptive, shallow and surface) and three fertilization options (no fertilization, by-product, by product + N₆₅P₆₀K₇₀) were tested. The combination of adaptive cultivation and organic-mineral fertilization resulted in the highest input of crop by-products (up to 1.26 g cm⁻³), elevated humus reserves (69.2 t ha⁻¹ in the 0–40 cm layer), reduced bulk density in the root zone (down to 1.26 g cm⁻³), improved soil moisture conditions, and, consequently, the highest grain yield—4.34 t ha⁻¹, which is 7.4–21.4% higher than in other treatments. The use of adaptive cultivation with differentiation of the depth and type of loosening allowed the humus reserve to be increased to 66.4 t ha⁻¹, the productive moisture in the 0–40 cm layer to reach 86 mm, and ensured an increase in the yield of the grain units to 4.34 t ha⁻¹. The obtained results prove the validity of the efficient integration of the plant biomass on light-textured soils with low physicochemical parameters and humus content as a renewable resource in sustainable agriculture technologies, especially in conditions of climate instability and the rising costs of the resources. Full article

This study presents the development of an innovative multifunctional cup holder designed to enhance safety, usability, and sustainability. Addressing common issues such as accidental spills, heat retention, and structural stability, the proposed design incorporates adjustable fixation and heating functionalities. The research applies a systematic design approach, applying the Theory of Inventive Problem Solving (TRIZ) methodology to resolve design contradictions and enhance product functionality. By integrating human factors considerations and universal design principles, the cup holder aims to improve user experience and accessibility. The design features a vacuum-based adjustable fixation system to prevent tipping, a controlled heating mechanism to maintain beverage temperature, and a shock-absorbing structure for enhanced durability. To evaluate whether the final design meets user expectations, a SERVQUAL questionnaire was used to collect user feedback, which was then analyzed using the Importance–Performance Analysis combined with the Kano model (IPA-Kano model). The results revealed an overall importance score of 4.347 and a satisfaction score of 3.943. Key strengths identified include reliable shock resistance, effective fixation, and ease of operation, while areas such as brand reputation and temperature control precision were found to require improvement due to their high importance but low performance. These insights confirm that the proposed design effectively enhances stability, thermal performance, and user convenience, while aligning with users’ expectations. By addressing critical functional and safety needs, this research advances the development of practical, user-centered innovations in everyday product design. Full article

(1) Background: Contagious ecthyma, also known as orf, is an epitheliotropic zoonotic disease caused by the orf virus (ORFV), primarily affecting the skin and mucous membranes of ruminants such as goats and sheep, leading to the formation of papules and pustules. Vaccination is the most effective way to prevent this disease in susceptible animals; however, traditional attenuated vaccines carry the potential risk of reversion to virulence. Therefore, there is an urgent need to develop safe and effective vaccines for the prevention and control of orf. (2) Methods: In this study, building upon the previously constructed ORFV three-gene deletion strain rGS14-TrypMut, we employed homologous recombination to knock out the VIL-10 gene and successfully constructed a four-gene deletion strain, rGS14-QuadMut. We evaluated its in vitro growth characteristics, safety, and protective efficacy in a challenge model. (3) Results: The in vitro results show that rGS14-QuadMut had a replication ability similar to that of other two-gene deletion strains, with good genetic stability. In in vivo experiments, compared to rGS14-TrypMut, rGS14-QuadMut caused only mild redness and swelling at the inoculation site, with a faster healing rate, indicating better safety. Additionally, rGS14-QuadMut induced strong differentiation of CD4⁺ and CD8⁺ T cells, increased the CD4⁺/CD8⁺ ratio, and primarily stimulated a Th1-type immune response, with significant changes in cytokine levels, including IL-8, IFN-γ, and IL-2. In the challenge protection experiment, both rGS14-QuadMut and rGS14-TrypMut provided 100% protective efficacy. In conclusion, rGS14-QuadMut demonstrated enhanced safety without compromising immune protection efficacy and is a promising candidate for an orf live vaccine strain. Full article

In the field of active safety technology for intelligent connected vehicles (ICVs), the reliability and safety of the Automatic Emergency Braking (AEB) system is recognized as critical to driving safety. However, existing evaluation methods have been constrained by the inadequacy of static weight assessments in adapting to diverse driving conditions, as well as by the disconnect between conventional evaluation frameworks and experimental validation. To address these limitations, a comprehensive Vehicle-in-the-Loop (VIL) evaluation system based on the dynamic weight analytic hierarchy process (DWAHP) was proposed in this study. A two-tier dynamic weighting architecture was established. At the criterion level, a bivariate variable–weight function, incorporating the vehicle speed and road surface adhesion coefficient, was developed to enable the dynamic coupling modeling of road environment parameters. At the scheme level, a five-dimensional indicator system—integrating braking distance, collision speed, and other key metrics—was constructed to support an adaptive evaluation model under multi-condition scenarios. By establishing a dynamic mapping between weight functions and driving condition parameters, the DWAHP methodology effectively overcame the limitations associated with fixed-weight mechanisms in varying operating conditions. Based on this framework, a dedicated AEB system performance test platform was designed and developed. Validation was conducted using both VIL simulations and real-world road tests, with a Volvo S90L as the test vehicle. The experimental results demonstrated high consistency between VIL and real-world road evaluations across three dimensions: safety (deviation: 0.1833/9.5%), reliability (deviation: 0.2478/13.1%), and riding comfort (deviation: 0.05/2.7%), with an overall comprehensive score deviation of 0.0707 (relative deviation: 0.51%). This study not only verified the technical advantages of the dynamic weight model in adapting to complex driving environments and analyzing multi-parameter coupling effects but also established a systematic methodological framework for evaluating AEB system performance via VIL. The findings provide a robust foundation for the testing and assessment of AEB system, offer a structured approach to advancing the performance evaluation of advanced driver assistance systems (ADASs), facilitate the safe and reliable validation of ICVs’ commercial applications, and ultimately contribute to enhancing road traffic safety. Full article

This study implemented an innovative system that trains a speech recognition model based on the DeepSpeech2 architecture using Python for voice control of a robot on the LabVIEW platform. First, a speech recognition model based on the DeepSpeech2 architecture was trained using a large speech dataset, enabling it to accurately transcribe voice commands. Then, this model was integrated with the LabVIEW graphical user interface and the myRIO controller. By leveraging LabVIEW’s graphical programming environment, the system processed voice commands, translated them into control signals, and directed the robot’s movements accordingly. Experimental results demonstrate that the system not only accurately recognizes various voice commands, but also controls the robot’s behavior in real time, showing high practicality and reliability. This study addresses the limitations inherent in conventional voice control methods, demonstrates the potential of integrating deep learning technology with industrial control platforms, and presents a novel approach for robotic voice control. Full article

Marek’s disease (MD) is a highly contagious and oncogenic viral disease of poultry, causing significant economic losses due to mortality and reduced performance. The rapid evolution of Marek’s disease virus (MDV) has been reported in poultry farms, often overcoming vaccination and leading to disease outbreaks. This study aimed to detect and molecularly characterize circulating MDV strains in Tanzania, with a focus on their genetic relationship with the vaccine strains currently in use (HVT and CVI988). Samples were collected from six livestock representative zones in Tanzania (Central, Eastern, Southern, Southern Highlands, Lake, and Northern Zone) and analyzed using polymerase chain reaction (PCR) and sequencing of key oncogenic genes (meq, pp38, and vIL-8). Phylogenetic analysis was conducted using MEGA 12 software to determine the genetic relationships between Tanzanian isolates and MDV strains from Africa and other continents. The results confirm the widespread circulation of MDV in Tanzania, with an overall prevalence of 18.08% across all surveyed zones. Molecular characterization of the meq, pp38, and vIL-8 genes revealed high sequence similarity with previously reported MDV strains from Egypt, Nigeria, Israel, and China, with clustering observed in the phylogenetic analysis. Notably, Tanzanian MDV strains exhibited amino acid substitutions associated with increased virulence, particularly in the meq gene, which plays a crucial role in MDV-induced tumorigenesis. These findings suggest that MDV strains in Tanzania have undergone genetic changes that could potentially affect vaccine efficacy. Therefore, this study provides valuable information for vaccine manufacturers, poultry farmers, and policymakers in Tanzania, enabling informed decisions when selecting vaccines for MD control. Full article

The improvement of carcass traits is a key focus in pig genetic breeding programs. To identify quantitative trait loci (QTLs) and genes linked to key carcass traits, we conducted a genome-wide association study (GWAS) using whole-genome sequencing data from 1118 commercial pigs (Duroc sires and Yorkshire/Landrace F1 dams). This study focused on six phenotypes: iodine value, belly firmness, belly side fat, total side thickness (belly SThK), belly subcutaneous fat (Subq), and belly seam. Phenotypes were measured using image analysis, DEXA, and fatty acid profiling, and genotyping was performed using low-pass sequencing (SkimSeq). After quality control, 18,911,793 single nucleotide polymorphisms (SNPs) were retained for further analysis. A GWAS was conducted using a linear mixed model implemented in GCTA. Key findings include a significant QTL on SSC15 (110.83–112.23 Mb), which is associated with the iodine value, containing genes such as COX15, CHUK, SCD, and HIF1AN, which have known roles in fatty acid metabolism. Additionally, PNKD, VIL1, and PRKAG3 (120.74–121.88 Mb on SSC15) were linked to belly firmness, influencing muscle structure and fat composition. Three QTLs for belly side fat were identified on SSC1, SSC2, and SSC3, highlighting genes like SLC22A18, PHLDA2, and OSBPL5, which regulate fat deposition and lipid metabolism. The results provide novel molecular markers that can be incorporated into selective breeding programs to improve pork quality, fat distribution, and meat composition. These findings enhance our understanding of the genetic mechanisms underlying carcass belly traits while offering tools to improve pork quality, optimize fat composition, and align with consumer preferences in the meat production industry. Full article

Secreted viral proteins are crucial in virus–host interactions, as they modify the host microenvironment to promote infection. These secreted proteins could alter immune and inflammatory responses, allowing viruses to evade defense mechanisms such as cytotoxic T cell activation and antibody neutralization. Some secreted proteins mimic host molecules to suppress antiviral responses, making them valuable targets for antivirals and diagnostics. Notable examples include BARF1 from Epstein–Barr virus, associated with gastric cancer; vIL-10 from Epstein–Barr virus, which regulates immune responses and contributes to autoimmune diseases; NS1 from dengue virus, associated with vascular permeability and early diagnosis; and NSP4 from rotavirus as an enterotoxin, among others. The study of these proteins improves our understanding of viral pathogenesis and helps to develop innovative treatments for infectious and non-infectious diseases, taking advantage of the evolutionary adaptations of viruses. This review explores their impact on the infection cycle, disease progression, and key processes, such as cell cycle regulation, apoptosis, and cell signaling. Research on these proteins deepens our basic knowledge of virology and generates alternative methods for detecting biomarkers and creating more effective therapies, as well as implementing some emerging technologies, such as biosensors and plasmon resonance, for the diagnosis of viral diseases. Full article

Thermal analysis is an indispensable aspect of semiconductor packaging. Excessive operating temperatures in integrated circuit (IC) packages can degrade component performance and even cause failure. Therefore, thermal resistance and thermal characteristics are critical to the performance and reliability of electronic components. Machine learning modeling offers an effective way to predict the thermal performance of IC packages. In this study, data from finite element analysis (FEA) are utilized by machine learning models to predict thermal resistance during package testing. For two package types, namely the Quad Flat No-lead (QFN) and the Thin Fine-pitch Ball Grid Array (TFBGA), data derived from finite element analysis, are employed to predict thermal resistance. The thermal resistance values include θ_JA, θ_JB, θ_JC, Ψ_JT, and Ψ_JB. Five machine learning models, namely the light gradient boosting machine (LGBM), random forest (RF), XGBoost (XGB), support vector regression (SVR), and multilayer perceptron regression (MLP), are applied as forecasting models in this study. Numerical results indicate that the XGBoost model outperforms the other models in terms of forecasting accuracy for almost all cases. Furthermore, the forecasting accuracy achieved by the XGBoost model is highly satisfactory. In conclusion, the XGBoost model shows significant promise as a reliable tool for predicting thermal resistance in packaging design. The application of machine learning techniques for forecasting these parameters could enhance the efficiency and reliability of IC packaging designs. Full article

Leukemia is a hematologic malignancy; acute lymphoblastic leukemia (ALL) is the most prevalent subtype among children rather than in adults. Orthoherpesviridae family members produce proteins during latent infection phases that may contribute to cancer development. One such protein, viral interleukin-10 (vIL-10), closely resembles human interleukin-10 (IL-10) in structure. Research has explored the involvement of human cytomegalovirus (hCMV) in the pathogenesis of ALL. However, the limited characterization of its latent-phase proteins restricts a full understanding of the relationship between hCMV infection and leukemia progression. Studies have shown that hCMV induces an inflammatory response during infection, marked by the release of cytokines and chemokines. Inflammation may, therefore, play a role in how hCMV contributes to oncogenesis in pediatric ALL, possibly mediated by latent viral proteins. The classification of a virus as oncogenic is based on its alignment with cancer’s established hallmarks. Viruses can manipulate host cellular mechanisms, causing dysregulated cell proliferation, evasion of apoptosis, and genomic instability. These processes lead to mutations, chromosomal abnormalities, and chronic inflammation, all of which are vital for carcinogenesis. This study aims to investigate the role of vIL-10 during the latent phase of hCMV as a potential factor in leukemia development. Full article

Digital twins in vehicle-in-the-loop (VIL) test has great practical significance for the functional development, testing and evaluation of intelligent vehicle. The study about the credibility assessment of dynamically evolving models still lacks effective approaches. In addition, it has rarely been studied in automotive tests. In this paper, a closed loop test of dynamic virtual and real-world interaction was built, and its characteristics are also analyzed. According to its characteristics and assessment methods, a credibility assessment methodology based on information entropy is proposed to reveal the degree of its own information confusion and structural relevance of different information, which involves ApEn and cross-ApEn. The algorithm has been successfully verified in experiments and it has been found that the inconsistent weight of the real and digital vehicle is an important factor on digital twins VIL tests. Furthermore, the effect of the length of series on the credibility assessment has been emphatically studied, and the results show that it has no more than 2% effect on the credibility assessment. Full article