Search Results (2,439)

The incorporation of probiotics into food products has gained substantial attention, primarily due to their well-documented health benefits such as modulating gut microbiota, enhancing immune responses, and providing potential therapeutic effects. This comprehensive review discusses recent advancements in the application of probiotics in the food industry, focusing on diverse food matrices, technological and regulatory challenges, and consumer acceptance. Particular emphasis is placed on fermentation-based approaches that enhance both sensory and nutritional attributes, while acting as effective delivery systems for viable probiotics. The impact of matrices such as dairy, meat, cereals, plant-based beverages (e.g., soy or almond milk), and solid plant-derived foods (e.g., fermented vegetables) on probiotic survival, sensory properties, and product acceptability is critically examined. Understanding these interactions is crucial for the development of stable, efficacious, and consumer-oriented probiotic-enriched functional foods. Full article

When complex computations cannot be performed on board a mobile robot, sensory data must be transmitted to a remote station to be processed, and the resulting actions must be sent back to the robot to execute, forming a repeating cycle. This involves stochastic round-trip times in the case of non-deterministic network communications and/or non-hard real-time software. Since robots need to react within strict time constraints, modeling these round-trip times becomes essential for many tasks. Modern approaches for modeling sequences of data are mostly based on time-series forecasting techniques, which impose a computational cost that may be prohibitive for real-time operation, do not consider all the delay sources existing in the sw/hw system, or do not work fully online, i.e., within the time of the current round-trip. Marginal probabilistic models, on the other hand, often have a lower cost, since they discard temporal dependencies between successive measurements of round-trip times, a suitable approximation when regime changes are properly handled given the typically stationary nature of these round-trip times. In this paper we focus on the hypothesis tests needed for marginal modeling of the round-trip times in remotely operated robotic systems with the presence of abrupt changes in regimes. We analyze in depth three common models, namely Log-logistic, Log-normal, and Exponential, and propose some modifications of parameter estimators for them and new thresholds for well-known goodness-of-fit tests, which are aimed at the particularities of our setting. We then evaluate our proposal on a dataset gathered from a variety of networked robot scenarios, both real and simulated; through >2100 h of high-performance computer processing, we assess the statistical robustness and practical suitability of these methods for these kinds of robotic applications. Full article

Background/Objectives: Co-culture models of neurons and Schwann cells have been used to explore the mechanisms of myelination during development, axonal regeneration after injury, and the pathogenesis of various demyelinating neuropathies. A spontaneously immortalized Fischer rat Schwann cell line 1 (IFRS1), established from the primary culture of adult Fischer344 rat peripheral nerves, can myelinate neurites in co-cultures with primary cultured dorsal root ganglion neurons and neuronal cell lines, such as nerve growth factor (NGF)-primed PC12 cells and NSC-34 motor neuron-like cells. In this study, we aimed to establish a stable co-culture system using IFRS1 cells and ND7/23 sensory neuron-like cells. Methods: ND7/23 cells were seeded at a low density (2 × 10³/cm²) and maintained for 7 days in serum-containing medium supplemented with NGF (10 ng/mL) and the Rho kinase inhibitor Y27632 (5 μM) to promote neurite elongation. The cells were then treated with the anti-mitotic agent mitomycin C (1 μg/mL) for 12–16 h to suppress proliferative activity. Following this, the cells were co-cultured with IFRS1 cells (2 × 10⁴/cm²) and maintained at 37 °C in serum-containing medium supplemented with ascorbic acid (50 μg/mL), NGF (10 ng/mL), and ciliary neurotrophic factor (10 ng/mL). Results: Double-immunofluorescence staining performed on day 21 of the co-culture revealed myelin protein 22- or myelin basic protein-immunoreactive IFRS1 cells surrounding βIII tubulin-immunoreactive neurites emerging from ND7/23 cells. Myelin formation was further confirmed via Sudan Black B staining and electron microscopy. Conclusions: This co-culture system may provide a valuable tool for studying the processes of myelination in the peripheral nervous system, as well as the pathogenesis of various sensory neuropathies and potential novel therapeutic approaches for these conditions. Full article

Background/Objectives: Upper limb amputation presents considerable physical and psychological challenges, especially in young, active individuals. This case study outlines the rehabilitation journey of a 33-year-old patient, an Italian national Paralympic snowboard cross athlete, who underwent elective transradial amputation followed by advanced surgical and prosthetic interventions. The objective was to assess the combined impact of upper limb Targeted Sensory Reinnervation (ulTSR) and the Adam’s Hand prosthetic system on functional recovery and user satisfaction. Methods: After a partial brachial plexus injury caused complete paralysis of his right hand, the patient opted for transradial amputation. He subsequently underwent ulTSR, performed by plastic surgeon, Alexander Gardetto, MD, which involved rerouting sensory nerves to defined regions of the residual limb in order to reestablish a phantom limb map. This reinnervation was designed to facilitate improved prosthetic integration. The Adam’s Hand, a myoelectric prosthesis with AI-based pattern recognition, was selected for its compatibility with TSR and intuitive control. Outcomes were evaluated using the OPUS questionnaire, the DASH, and patient feedback. Results: ulTSR successfully restored meaningful sensory input, allowing intuitive and precise control of the prosthesis, with minimal cognitive and muscular effort. The patient regained the ability to perform numerous activities of daily living such as dressing, eating, lifting, and fine motor tasks—which had been impossible for over 15 years. OPUS results demonstrated significant improvements in both function and satisfaction. Conclusions: This case highlights the synergistic benefits of combining ulTSR with user-centered prosthetic technology. Surgical neurorehabilitation, paired with advanced prosthetic design, led to marked improvements in autonomy, performance, and quality of life in a high-performance amputee athlete. Full article

Hearing is essential for animal survival and social communication, relying on the function of sensory hair cells. These cells possess organized stereocilia bundles enriched with mechano-electrical transduction (MET) channels that convert mechanical stimuli into electrical signals. Tip links, fine extracellular filaments connecting adjacent stereocilia, play a critical role in transmitting mechanical forces to MET channels. Over the past three decades, technological advances have significantly enhanced our understanding of the molecular and cellular mechanisms underlying auditory transduction. Zebrafish, with its conserved hair cell structure and function similar to mammals, has become a valuable model in auditory research. The aim of this review is to summarize the research progress on the molecular and cellular mechanisms of MET, tip link, and stereocilia complex, with an emphasis on zebrafish studies, providing an important reference for understanding diseases of the human auditory system. Full article

This study proposes a novel non-destructive approach to assessing and predicting the quality of stored date fruits using a composite quality index (Qi) modeled via visible–near-infrared (VIS–NIR) spectroscopy and artificial neural networks (ANNs). Two leading cultivars, Sukkary and Khlass, were stored for 12 months using three temperature regimes (25 °C, 5 °C, and −18 °C) and five types of packaging. The samples were grouped into six moisture content categories (4.36–36.70% d.b.), and key physicochemical traits, namely moisture, pH, hardness, total soluble solids (TSSs), density, color, and microbial load, were used to construct a normalized, dimensionless Qi. Spectral data (410–990 nm) were preprocessed using second-derivative transformation and modeled using partial least squares regression (PLSR) and the ANNs. The ANNs outperformed PLSR, achieving the correlation coefficient (R²) values of up to 0.944 (Sukkary) and 0.927 (Khlass), with corresponding root mean square error of prediction (RMSEP) values of 0.042 and 0.049, and the relative error of prediction (REP < 5%). The best quality retention was observed in the dates stored at −18 °C in pressed semi-rigid plastic containers (PSSPCs), with minimal microbial growth and superior sensory scores. The second-order Qi model showed a significantly better fit (p < 0.05, AIC-reduced) over that of linear alternatives, capturing the nonlinear degradation patterns during storage. The proposed system enables real-time, non-invasive quality monitoring and could support automated decision-making in postharvest management, packaging selection, and shelf-life prediction. Full article

Odorous emissions from hot-mix asphalt (HMA) plants are a growing environmental concern, particularly due to airborne aldehydes and ketones, which have low odor thresholds and a strong sensory impact. This study presents a field-ready analytical method for monitoring odor-active volatile compounds. The system uses dynamic solid-phase microextraction (SPME and SPME Arrow) with on-fiber derivatization via O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine (PFBHA) and is coupled to gas chromatography–mass spectrometry (GC–MS) for direct detection. A flow-cell sampling unit enables the real-time capture of aliphatic aldehydes and ketones under transient emission conditions. Calibration using permeation tubes demonstrated sensitivity (limits of detection (LODs) below 0.13 μg/m³), recovery above 85% and consistent reproducibility. Compound identity was confirmed using retention indices and fragmentation patterns. Uncertainty assessment followed ISO GUM (Guide to the Expression of Uncertainty in Measurement) standards, thereby validating the method’s environmental applicability. Field deployment 200 m from an HMA facility identified measurable concentrations that aligned with CALPUFF model predictions. The method’s dual-isomer resolution and 10 min runtime make it ideal for responding to time-sensitive odor complaints. Overall, this approach supports regulatory efforts by enabling high-throughput on-site chemical monitoring and improving source attribution in cases of odor nuisance. Full article

To reveal the characteristic physicochemical indicators of wines of different quality grades and explore their feasibility as auxiliary indicators for grading, 23 wines from the Manas subregion of Xinjiang were used as test materials. Sensory evaluation, colour difference analysis, and electronic tongue technology were employed, combined with nontargeted metabolomics and quantitative analysis, to analyze differences in phenolic compounds, colour parameters, and taste characteristics among wines of different grades. Finally, a quality evaluation model for Cabernet Sauvignon wine was constructed using partial least squares regression (PLSR). The results revealed significant differences in the L* values, a* values, and C*ab values among wines of different grades. Grade A wines presented lower L* values, higher a* values, and higher C*ab values, indicating lower brightness, deeper red tones, and higher saturation. Taste characteristic differences were primarily manifested in Grade A wines, which have higher acidity, astringency, bitterness, and richness but exhibit lower bitterness aftertaste and astringency aftertaste. The results of the quantitative analysis and correlation analysis indicate that the differences in sensory characteristics among different grades of wine stem from variations in their polyphenolic compound contents. The higher anthocyanin content in Grade A wine is associated with higher a* values; higher flavonoid content is closely related to higher astringency and bitterness values; and lower flavanol content is associated with lower bitterness aftertaste and astringency aftertaste values. The PLSR model results indicate that when sensory characteristic parameters and phenolic compound content are used as predictor variables (X) and grade is used as the response variable (Y), the PLSR model has a calibration set R² = 0.97 and a validation set R² = 0.92, the calibration set RMSE is 0.13, and the validation set RMSE is 0.25. The model demonstrates good fitting performance, establishing an objective method for evaluating wine quality that avoids evaluation errors caused by the subjective factors of winemakers and tasters. This study is the first to conduct a comprehensive evaluation of the sensory characteristic and chemical components of three grades of wine, providing data support and theoretical references for the improvement of wine quality evaluation systems. Full article

This study aims to examine how organizations disclose Circular Economy (CE) information through multimodal communication. While conventional reporting often fails to capture the complexity of CE, we adopt a Multi-Discourse Analysis (MDA) framework that integrates textual, numerical, visual, spatial, and sensory dimensions. The methodology involves a qualitative content analysis of non-financial reports from 13 Italian electronics firms, a sector with a high environmental impact and low circularity. Key findings show a dominance of textual narratives and increasing use of numerical indicators aligned with the European Union Taxonomy. Visual elements are underutilized and largely symbolic, reflecting a product-centric rather than systemic view of circularity. The spatial dimension, operationalized through ESRS E5 categories, reveals fragmented CE integration and limited forward-looking financial disclosures. The sensory dimension, assessed via integrated thinking, highlights a polarization between firms that embed CE into strategy and those that do not. Recommendations are provided to enhance the clarity, comparability, and strategic relevance of CE disclosures, with implications for corporate practice, regulatory development, and future research. Overall, this study advances the understanding of CE by applying MDA to reveal the interplay of communicative modes, the gaps in systemic representation, and the degree of strategic integration in sustainability reporting. Full article

Sexual behavior is a complex process in which the brain plays an active role. In the male rat, stimuli from the female are perceived through sensory receptors related to olfaction, hearing, vision, and the perigenital area, priming the individual for a sexual response. This process culminates with ejaculation and the deposition of semen into the uterine tract with the aim of achieving fertilization. The brain plays a fundamental role in both generating motivation and executing male sexual behavior. Meanwhile, the spinal cord, through the autonomic nervous system and the pelvic ganglion, transmits information to the reproductive organs, including the testes. Currently, there is extensive evidence demonstrating the involvement of various brain structures in the regulation of sexual behavior, as well as specific regions of the spinal cord involved in the control of ejaculation. For instance, the medial preoptic area (MPOA) has been shown to regulate the secretion of pituitary hormones, which in turn modulate the function of reproductive organs. Among these, testosterone production is particularly notable, as this hormone not only directly affects reproductive organs but also exerts a modulatory role on brain nuclei responsible for sexual behavior. Although there is a reciprocal regulation between the nervous and endocrine systems, it is important to note that the execution of sexual behavior also impacts peripheral structures, such as the major pelvic ganglion (MPG) and the testis, preparing the organism for reproduction. The purpose of this mini-review is to provide an overview of the main brain nuclei involved in the regulation of sexual behavior, as well as the spinal cord regions implicated in reproduction. Finally, we discuss how these structures may alter their function in the context of neurodegenerative diseases, aiming to introduce readers to this field of study. Full article

Worker honey bees are crucial for colony stability and ecosystem pollination. However, the cross-scale aging features and underlying mechanisms in the Eastern honey bee (Apis cerana) remain poorly understood. This study systematically investigated age-related changes in A. cerana workers across youth (1~5 days post-emergence, dpe), middle age (29 dpe), and old age (50 dpe) through integrated morphological, ultrastructural, and transcriptomic analyses. With increasing age, the phenotypic deterioration in the old bees (OBs) was significant: the body color brightness decreased by 16.7% compared to the young bees (YBs) (p < 0.001), and the hair density of the head, thorax, and abdomen declined by 63.5%, 97.2%, and 91.5%, respectively (p < 0.0001). The wing wear index (WWI) increased to 96.7% (p < 0.0001). The locomotor performance declined sharply, with only 6.7% of the OBs successfully reaching the feeding platform within 15 s (p < 0.0001). Ultrastructural analysis revealed sensory organ abrasion, flattened thoracic bristles, thickened cuticle, and 90.4% increased mitochondrial damage (p < 0.0001). The autophagosomes showed dynamic changes, with 81.8% reduction versus those of mid-aged bees (MBs) (p < 0.001), which suggests that mitochondrial dysfunction and autophagy dysregulation may be the core driving factors behind aging. Transcriptomics identified 67 differentially expressed genes enriched in lifespan regulation, glutathione metabolism, and lysosomal pathways. Fifteen key aging-related genes were identified, such as major royal jelly protein 3 (MRJP3), synaptic vesicle glycoprotein 2A (SV2A), and apidermin 3 (APD3), whose expression dynamics have been shown to be closely related to nutritional metabolism, behavioral perception, and the decline of epidermal barrier function. This work establishes the first multidimensional aging evaluation system for A. cerana, providing critical insights into bee senescence mechanisms and colony health optimization. Full article

Spinal cord injury (SCI) results in significant motor, sensory, and autonomic dysfunction. The pathophysiology of SCI develops during the primary and secondary phases. Inflammation contributes to the secondary phase through the non-specific activation of the innate immune response. Glial scar formation (gliosis), a reactive cellular mechanism facilitated by astrocytes, also occurs during this phase. Synthetic steroids such as tibolone (Tib) have been proposed as a treatment for SCI since they exert neuroprotective effects in various models of central nervous system (CNS) injury. We studied the effect of Tib on locomotor functional recovery and the regulation of neuroinflammation and gliosis in an SCI model. We performed an SCI at the thoracic vertebrae nine in male Sprague Dawley rats. The animals received daily doses of Tib (1 or 2.5 mg per kg of body weight) administered orally. We quantified pro- and anti-inflammatory cytokine levels at the injury site and determined motor recovery using the Basso, Beattie, and Bresnahan (BBB) scale. Finally, we investigated the effect of Tib on the expression of glial fibrillary acidic protein (GFAP) and ionized calcium-binding adaptor molecule 1 (Iba-1), two markers of gliosis, using an immunohistochemistry assay. Our findings showed that Tib regulated pro- and anti-inflammatory cytokine levels at 3 h and 3, 7, and 14 days post-SCI. Furthermore, Tib administered orally for 15 days reduced gliosis markers and favored tissue preservation and motor function recovery after SCI. Full article

Visual snow and its syndrome represent a relatively new and enigmatic neurological condition affecting the human sensory, motor, and perceptual systems. In this narrative review, first an overview of the condition and its basic characteristics and demographics are presented. Then, the six therapeutic approaches that have been attempted over the past decade are detailed by a simple discussion of the problem with the patient, medications, special chromatic tints, oculomotor training, visual noise adaptation, and environmental changes, which have met with varying degrees of success. Thus far, chromatic tints and oculomotor training appear to be the most successful. Full article

With the growing use of digital technologies and interactive games, there is rising interest in how people respond to challenges, stress, and decision-making in virtual environments. Studying human behavior in such settings helps to improve design, training, and user experience. Instead of relying on complex devices, Virtual Reality (VR) creates new ways to observe and understand these responses in a simple and engaging format. This study introduces a lightweight method for monitoring stress levels that uses VR as the primary sensing platform. Detection relies on behavioral signals from VR. A minimal sensor such as Galvanic Skin Response (GSR), which measures skin conductance as a sign of physiological body response, supports the Sensor-Assisted Unity Architecture. The proposed Sensor-Assisted Unity Architecture focuses on analyzing the user’s behavior inside the virtual environment along with physical sensory measurements. Most existing systems rely on physiological wearables, which add both cost and complexity. The Sensor-Assisted Unity Architecture shifts the focus to behavioral analysis in VR supplemented by minimal physiological input. Behavioral cues captured within the VR environment are analyzed in real time by an embedded processor, which then triggers simple physical feedback. Results show that combining VR behavioral data with a minimal sensor can improve detection in cases where behavioral or physiological signals alone may be insufficient. While this study does not quantitatively compare the Sensor-Assisted Unity Architecture to multi-sensor setups, it highlights VR as the main platform, with sensor input offering targeted enhancements without significantly increasing system complexity. Full article

The zoonotic disease fasciolosis poses a significant global threat to both humans and livestock. The causative agent of fasciolosis is Fasciola hepatica, which is commonly referred to as liver fluke. The emergence of drug resistance has underscored the urgent need for new therapeutic treatments against F. hepatica. The tegument surface of F. hepatica is characterized by a dynamic syncytial layer surrounded by a glycocalyx, which serves as a crucial interface in host–parasite interactions, facilitating functions such as nutrient absorption, sensory input, and defense against the host immune response. Despite its pivotal role, only recently have we delved deeper into understanding glycans at the host–parasite interface and the glycosylation of hidden antigens. These glycan antigens have shown promise for vaccine development or as targets for drug manipulation across various pathogenic species. This review aims to consolidate current knowledge on the glycosylation of F. hepatica, exploring glycan motifs identified through generic lectin probing and mass spectrometry. Additionally, it examines the interaction of glycoconjugates with lectins from the innate immune systems of both ruminant and human host species. An enhanced understanding of glycans’ role in F. hepatica biology and their critical involvement in host–parasite interactions will be instrumental in developing novel strategies to combat these parasites effectively. In the future, a more comprehensive approach may be adopted in selecting and designing potential vaccine targets, integrating insights from glycosylation studies to improve efficacy. Full article