Search Results (8,300)

Fermentation represents a pivotal bioconversion process that enhances foodstuffs’ nutritional and sensory attributes while playing a crucial role in global food systems. Nevertheless, concerns about safety issues associated with microbial contamination and the production of biogenic amines are often understated. This review appraised recent advancements in fermentation technology, emphasising their association with the health and safety of fermented foods. Key advances include predictive microbiology models, in some cases achieving up to 95% accuracy in predicting microbial behaviour, and high-throughput sequencing (HTS) for microbial enrichment. In addition, advanced detection methods such as biosensors and PCR-based assays enable the rapid identification of contaminants, improving manufacturing processes and preserving product integrity. Advanced bioreactor technologies equipped with real-time monitoring systems have been shown to increase fermentation efficiency. Moreover, innovative packaging, artificial intelligence, machine learning models, and sensor technologies have optimised fermentation processes and contributed to tracking quality and safety in the blockchain technology supply chain, potentially reducing spoilage rates and showing a decrease in production times. This study also addresses regulatory frameworks essential for establishing robust safety protocols. Integrating advanced fermentation technologies is imperative to meet the growing global demand for safe fermented foods. Continuous research and innovation are needed to address safety challenges and promote industry practices prioritising health and quality, ensuring public safety and building consumer confidence in fermented products. Full article

Background: The gut microbiota plays a pivotal role in gastrointestinal inflammation and immune response since changes in microbiota may result in abnormal neurotransmitter expression, inducing changes in gastrointestinal sensory–motor function and leading to symptom onset in irritable bowel syndrome (IBS) patients. The Bifidobacterium adolescentis species has a documented immunomodulatory effect through its ability to produce γ-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the mammalian central nervous system, which is reduced in IBS patients. Aim and Methods: This is a multicentric, randomized, double-blind, placebo-controlled, parallel-arm trial aimed at evaluating the effectiveness of Bifidobacterium adolescentis PRL2019 in children with IBS. IBS children diagnosed according to Rome IV criteria were enrolled and randomized into two groups to receive one stick containing 20 × 10⁹ colony-forming unit of Bifidobacterium adolescentis PRL2019 (Gabapral, Pontenure, Italy) or an equivalent placebo once a day, in a 1:1 ratio, for 12 weeks. Clinical evaluation of symptoms was performed every four weeks using validated scores. Bowel habit characteristics were assessed using the Bristol Stool Chart (BSC). Results: Seventy-two subjects (mean age 12.2 ± 1.8 years, 30 males) were enrolled and randomized into two groups, each of thirty-six patients. No significant differences were observed between the two groups regarding demographic characteristics, distribution of IBS subtypes, or baseline measures of IBS severity and BSC. The proportion of patients achieving complete remission was significantly higher in the BA Group (19/36; 52.8%) than in the Placebo Group (7/36; 19.4%, p = 0.003, odds ratio [OR] 0.216, 95% confidence interval [CI] 0.075–0.619). Both groups obtained a reduction in Total IBS Symptom Severity Scale (IBS SSS), Pain Intensity Score (PIS), Pain Frequency Score (PFS), and Life Interference Score (LIS) from T0 to T12. However, upon intergroup comparison, only in the BA group did the IBS-SSS (p = 0.001), PIS (p = 0.001), LIS (p = 0.015), and PFS (p = 0.005) significantly improve between T0 and T12. BSC showed a greater representation of normal stools (type 3–4) at the end of treatment in the BA group compared with baseline (25% vs. 58.3%, p = 0.004), especially in patients who presented an IBS–constipation subtype at T0 (44.5% vs. 19.4%, p = 0.02). Conclusions: In our study, Bifidobacterium adolescentis PRL2019 reduces the severity and frequency of symptoms in children with IBS, positively affecting bowel habits in children with the IBS–constipation subtype. Full article

Basic amino acids have emerged as a pivotal area of research in efforts to decrease the sodium content in meat products, primarily due to their ability to enhance flavor, improve taste, and effectively replace sodium salts. This review synthesizes current strategies for sodium reduction in meat products and offers an overview of previous studies examining the role of basic amino acids in such applications, including their impact on sensory attributes and structural alterations. Furthermore, the implications of these strategies on product quality are examined, addressing aspects such as protein hydrolysis, oxidation, color, and textural changes, as well as potential underlying mechanisms. Additionally, future challenges and trends in the utilization of basic amino acids in processed meats are explored. Overall, basic amino acids exhibit significant potential as sodium salt substitutes, particularly at low NaCl concentrations. Their combinations with chloride salts, yeast extracts, and other salts have been explored as alternative sodium reduction strategies. However, challenges remain in their application to meat products, including high production costs, consumer acceptance, and stability during large-scale production. Future research should focus on optimizing the use of basic amino acids, enhancing their economic feasibility, and addressing technical hurdles. Full article

Vitamin D (VD), an indispensable micronutrient renowned for its pivotal role in bone health, is increasingly recognized as a frontline therapy for bone-related disorders owing to its involvement in maintaining calcium/phosphorus levels. Beyond these benefits, VD exhibits a modulatory impact on redox imbalance, inflammation, and anti-apoptotic pathways implicated in brain-related disorders. Recent findings reveal a notable decrease in VD and its receptor expression in the cerebrospinal fluid of individuals with brain diseases, indicating a positive association between VD levels and normal brain function. Moreover, emerging reports underscore VD’s potential in mitigating the pathophysiology of neurodegenerative diseases, including memory and motor impairments, mitochondrial dysfunction, and neuronal loss. Extensive in vitro and in vivo studies elucidate VD’s multifaceted neuroprotective mechanisms, effectively mitigating neuronal damage and ATP deprivation, thus reducing mortality and morbidity. This review comprehensively examines VD’s diverse attributes, encompassing antioxidative, anti-inflammatory, anti-apoptotic, and neurogenic effects. It provides contemporary insights into VD’s efficacious actions at appropriate doses and exposures across diverse neurological experimental models. Furthermore, the clinical relevance of VD in treating patients with neurological diseases is explored. Overall, this review contributes to the exploration of potential neuroprotective agents and holds promise for improving human health outcomes in the future. Full article

This study investigates the impact of Green Human Resource Management (GHRM) practices on employees’ pro-environmental behaviors (PEBs) across multiple sectors in China, including production and manufacturing, real estate, financial services, and IT industries. Data were collected from 492 participants through online and offline surveys conducted between June and August 2024, ensuring a comprehensive and representative sample. The findings reveal that GHRM significantly enhances employees’ PEBs, with green mindfulness and knowledge sharing as critical mediating mechanisms. These mediators amplify the effectiveness of GHRM by fostering deeper environmental awareness and encouraging the exchange of eco-friendly practices among employees. By integrating GHRM with knowledge management processes, the study highlights how organizations can strategically leverage HR practices to strengthen their environmental performance and foster a culture of sustainability. By emphasizing the pivotal roles of green knowledge sharing and environmental awareness, this research underscores their significance in bridging the gap between organizational practices and sustainability outcomes. The insights derived contribute to advancing theoretical understanding and practical applications of green knowledge management and sustainability, offering a robust framework for businesses seeking to align their operations with global environmental goals. Full article

Background: Epidemiological evidence suggests a link between the risk of IBD and diet. Macro- and micro- nutrient intake, diet quality and dietary patterns may play a pivotal role in disease pathogenesis. We aimed to study the dietary intake of newly diagnosed IBD patients compared to non-IBD controls. Methods: A cohort of newly diagnosed IBD patients were invited to complete the Scottish Collaborative Group Food Frequency Questionnaire (SCGFFQ) at their first clinic visit. Controls were recruited from non-IBD ambulatory patients, university students, and healthcare workers. The SCGFFQ estimates habitual diet over a 3-month period. Component nutrient data were calculated based on previous validation studies, deriving nutrient data by comparison of the SCGFFQ to actual weighted food records. Data on age, gender, ethnicity, and disease phenotype were collected. The intake of macro- and micro-nutrients was expressed as mean and standard deviation and compared using the Kruskal–Wallis test. Dietary patterns were derived using principal component analysis. Differences in the dietary patterns for age, gender, and ethnicity were analysed by logistic regression analysis. The diet quality was compared to the dietary recommendation values (DRVs) and measured using the diet quality index. Results: We enrolled 160 IBD cases (114 UC and 46 CD) and 126 non-IBD controls, and in the study, with a median age across the groups of 40 years (IQR = 24) for UC, 34 years (IQR = 29) for CD, and 36 years (IQR = 24) for non-IBD controls. The diet quality indexes for both UC and CD were low compared to controls: 59.0% (SD 18.0) for UC, 46.0% (SD 17.7) for CD, and 63.2% (SD 17.1) controls. UC patients had excessive total energy consumption (>2500 kcal/day) compared to the DRVs. UC patients reported higher retinol, vitamin D, riboflavin, niacin, vitamin B6, vitamin B12, and panthanoic acid intake, consistent with a diet rich in animal products and low in fruit/vegetable intake. This is likely driven by higher consumption of dietary patterns 2 (rich in carbohydrates, refined sugar and low fibre) and 5 (refined sugar and saturated fat) in the UC cohort. Dietary pattern 1 (variety of food items and oily fish) was less likely to be consumed by the CD population. CD patients tended to have a lower overall intake of both macro- and micro-nutrients. Conclusions: The dietary patterns identified here are a proof of concept, and the next phase of the study would be to ideally monitor these patterns in a case–control cohort prospectively, and to further understand the mechanisms behind which dietary patterns influence IBD. Patients with newly diagnosed CD have low dietary quality and lower overall intake of macro- and micro-nutrients. This finding supports the role for dietetic attention early in newly diagnosed CD. Full article

Metropolitan areas, as pivotal hubs for global tourism and economic growth, necessitate sustainable spatial planning to balance development with ecological preservation. As critical geospatial datasets, nighttime light (NTL) and point of interest (POI) data enable the robust analysis of urban structural patterns. Building upon coupling coordination theory and polycentric spatial frameworks, this study investigates the spatial interdependencies between tourism POI and NTL data in China’s Changsha–Zhuzhou–Xiangtan Metropolitan Area (CZTMA). Key findings reveal high spatial coupling homogeneity, with three urban cores exhibiting radial value attenuation from city centers toward the tri-city intersection; concentric zonation patterns where NTL-dominant rings encircle high-coupling nuclei, contrasting with sporadic POI-intensive clusters in peri-urban towns; and sector-specific luminosity responses, where sightseeing infrastructure demonstrates the strongest localized NTL impacts through multiscale geographically weighted regression (MGWR). These findings establish a novel “data fusion-spatial coupling-governance” analytical framework and provide actionable insights for policymakers to harmonize tourism-driven urbanization with ecological resilience, contributing to United Nations Sustainable Development Goal (SDG) 11 (Sustainable Cities). Full article

Breast cancer accounts for about 30% of all new female cancers each year, and its incidence is increasing 0.6% per year. An enhanced understanding of the molecular mechanisms of carcinogenesis has led to the development of constantly evolving strategies for local and systemic therapies. Perioperative chemotherapy, immunotherapy, and endocrine therapy play pivotal roles in the overall treatment plan. Guidelines on the appropriate use of these drugs in patients undergoing extirpative breast surgery and/or breast reconstruction are lacking. Clear indications for the management of systemic therapies relative to the timing of surgery is crucial to ensure consistent treatment outcomes and to minimize complications. Our purpose is to propose evidence-based recommendations to optimize the perioperative management of systemic therapies in patients undergoing breast cancer surgery and breast reconstructive surgery. In this review, we outline the basic tenets of breast cancer therapies, provide an overview on wound-healing principles, delineate relevant pharmacodynamic concepts, summarize literature and pharmacologic data from various preclinical studies and clinical trials, and propose treatment recommendations. Synopsis: This review proposes evidence-based recommendations regarding systemic therapies management for outcome optimization in the perioperative period in breast cancer patients. Full article

The water demand is increasing across all sectors, driven by intensive agriculture, overexploitation and urbanization, tourism, and industrial development. This trend is set to intensify in the context of climate variability, with an anticipated rise in the frequency and intensity of prolonged dry periods. As a result, conventional water resources, including surface and groundwater, are facing significant pressure and cannot meet the growing water needs. In contrast, unconventional (UWR) or non-conventional water resources, such as treated wastewater, salinized water, and rainwater harvesting are emerging as valuable and strategic resources and will play a pivotal role in the new era. Therefore, it is evident that the management of water resources must also include UWR to address the issue of water scarcity, with the ultimate goal of achieving a sustainable water future. This review aims to provide an overview of the currently and potentially available UWR in Greece. In addition to current trends and prospects, this study examines the utilization of unconventional resources in ancient Greek civilizations. The main conclusion is that in the context of the circular economy and the implementation of the Sustainable Development Goals (SDGs), the use of unconventional water resources is crucial for facing the problems that are emerging. Full article

β-galactosidase (β-Gal) has emerged as a pivotal biomarker for the comprehensive investigation of diseases associated with cellular senescence. The development of a fluorescent sensor is of considerable importance for precisely detecting the activity and spatial distribution of β-Gal. In this study, we developed two excited-state-altering responsive fluorescent sensors (TF1 and TF2) for ratiometric detection of β-Gal. Two TCF dyes, composed of tricyanofuran (TCF) and naphthol units, feature electron “pull–push” systems and are quenched fluorescence by β-Gal. Upon β-Gal hydrolysis, a significant ratiometric shift in absorption from ca. 475 nm to 630 nm is observed, accompanied by the emergence of a fluorescence signal at ca. 660 nm. The enzyme-responsive optical red-shifts are attributed to the excited-state transition from intramolecular charge transfer (ICT) state to local excited (LE) state, which was confirmed by density functional theory (DFT) calculations. Both fluorescent sensors display exceptional sensitivity and selectivity for the response of β-Gal in PBS solution and are capable of tracking β-Gal within senescent A549 cells. This study introduces a framework for developing multimodal optical probes by systematically modulating excited-state properties, demonstrating their utility in senescence studies, diagnostic assay design, and therapeutic assessment. Full article

Decision-making, defined as a cognitive process involving the selection of a course of action among several alternatives, is pivotal in personal and professional life and is founded on responsiveness to the context of decisional strategies—in terms of pieces of contextual features collected, evaluated, and integrated. This study explored the behavioral and electrophysiological (EEG) correlates of individual tendencies to rely on three distinct decisional strategies: Information (I-ds), Situation (S-ds), or Task (T-ds). A total of 51 individuals performed a decision-making task that required participants to face real-life decision-making situations, during which an unexpected event prompted them to appraise the situation and rely on different sources of contextual features to make the best decision and manage the problem. The behavioral data and EEG frequency bands (delta, theta, alpha, beta, and gamma) were collected during the decision-making task. The results evidenced a general predisposition to adopt a T-ds. In addition, EEG findings reported a higher increase in theta band power in the right frontal area (AF8) compared to the left temporoparietal site (TP9). Moreover, for the gamma band, higher activity was found in the T-ds compared to the I-ds in AF8. Overall, responsiveness to the context was closely linked to the assignment’s requirements. Additionally, adopting a T-ds requires high levels of multilevel attention control systems and a significant workload on human performance. Nevertheless, the T-ds remain the most employed type of responsiveness to the context approach, when compared to situational and contextual aspects. Full article

Vegetation biochemical and biophysical variables, especially chlorophyll content, are pivotal indicators for assessing drought’s impact on plants. Chlorophyll, crucial for photosynthesis, ultimately influences crop productivity. This study evaluates the mean squared Euclidean distance (MSD) method, traditionally applied in soil analysis, for estimating chlorophyll content in five diverse leaf types across various months using visible/near-infrared (vis/NIR) spectral reflectance. The MSD method serves as a tool for selecting a representative calibration dataset. By integrating MSD with partial least squares regression (PLSR) and the Cubist model, we aim to accurately predict chlorophyll content, focusing on key spectral bands within the ranges of 500–640 nm and 740–1100 nm. In the validation dataset, PLSR achieved a high determination coefficient (R²) of 0.70 and a low mean bias error (MBE) of 0.04 mg g⁻¹. The Cubist model performed even better, demonstrating an R² of 0.77 and an exceptionally low MBE of 0.01 mg g⁻¹. These results indicate that the MSD method serves as a tool for selecting a representative calibration dataset in leaves, and vis/NIR spectrometry combined with the MSD method is a promising alternative to traditional methods for quantifying chlorophyll content in various leaf types over various months. The technique is non-destructive, rapid, and consistent, making it an invaluable tool for assessing drought impacts on plant health and productivity. Full article

Background and Objectives: AI is considered one of the most innovative technologies of this century. Its introduction into healthcare has transformed the industry, significantly impacting various aspects such as education, teaching, diagnosis, treatment planning, and patient care. Researchers have tested the accuracy of various generations of AI models for detecting peri-implant bone loss using radiographic images. While studies have reported promising outcomes, there remains significant potential for improving these models. This systematic review aims to critically analyze the existing published literature on the accuracy of AI models in detecting peri-implant bone loss and to evaluate the current state of knowledge in this area. Methods: The guidelines established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were pivotal and provided a framework for preparing, implementing, and recording this systematic review. The protocol for this review was registered in PROSPERO. Four electronic databases (PubMed, Scopus, Web of Science, and Cochrane) were diligently searched on 5–6 January 2025, targeting articles published between January 2000 and December 2024. The PIRD elements (population, index test, reference test, diagnosis of interest) that helped in structuring the protocol of the present review were: P: X-ray images of humans demonstrating the bone loss around the dental implant; I: Artificial intelligence models used for detecting radiographic peri-implant bone loss; R: Expert opinions and reference standards; D: Radiographic peri-implant bone loss. The Quality Assessment and Diagnostic Accuracy Tool (QUADAS-2) was used to assess the quality of each included study. Results: Seven studies met the selection criteria and were included in the qualitative analysis. A self-designed table was used to tabulate all the relevant study characteristics. The included studies were reported to have a moderate level of certainty of evidence as assessed by the GRADE assessment. In general, all studies included in this review demonstrated a low risk of bias. Overall accuracy of the AI models varied and ranged between 61% and 94.74%. The precision values ranged from 0.63% to 100%. Whereas sensitivity and specificity values range between 67% and 94.44%, and 87% and 100%, respectively. Conclusions: The present systematic review highlights that AI models demonstrate high accuracy in detecting peri-implant bone loss using dento-maxillofacial radiographic images. Thus, AI models can serve as effective tools for the practicing dentist in confirming the diagnosis of peri-implant bone loss, ultimately aiding in accurate treatment planning and improving treatment outcomes. Full article

The Asian tiger mosquito, Aedes albopictus, is an invasive species and a vector for several significant human pathogens. Gaining a deeper understanding of its reproductive biology offers valuable insights into its evolutionary success and may inform the development of sustainable strategies to control its spread. This study presents a comprehensive structural and functional characterization of the fruitless gene in Ae. albopictus (Aalfru), a pivotal regulator of sexual behavior in insects. Through in silico analysis combined with molecular and functional genetics approaches, we identified a high degree of conservation in the fru gene structure and its regulation via sex-specific alternative splicing. Differently from Drosophila, Aedes aegypti, and other dipteran fruitless orthologs, Aalfru sex-specific regulation starts in 1-day-old embryos, rather than the late larval stage. Functional analysis using embryonic RNA interference (RNAi) demonstrated that, Ae. albopictus males with transiently disrupted fru expression at the embryonic stage showed significant deficits in adult mating behavior and failed to produce viable progeny. Our findings elucidate the Aalfru gene’s molecular organization, developmental regulation, and critical role in courtship behavior, highlighting its importance in male sexual behavior and reproductive success in Ae. albopictus. Full article

Background: China’s pharmaceutical regulatory framework is undergoing a pivotal shift from a traditional “command-control” model to a “lifecycle regulation” approach, aiming to balance drug safety, innovation, and accessibility. This study systematically examines the evolution, achievements, and challenges of China’s regulatory reforms, offering insights for global pharmaceutical governance. Methods: Using a mixed-methods approach integrating historical analysis, policy text mining, and case studies, we reviewed the pharmaceutical laws and regulations enacted since 1949, supplemented by case studies (e.g., COVID-19 vaccine emergency approvals) and a comparative analysis with international models (e.g., U.S. FDA and EU EMA frameworks). The data were sourced from authoritative platforms such as the PKULAW database, criminal law amendments, and international regulatory texts. Results: China’s regulatory evolution is categorized into four phases: Emergence (1949–1984), Foundational (1985–2000), Deepening Reform (2001–2018), and Lifecycle Regulation (2019–present). The revised Drug Administration Law (2019) institutionalized risk management, dynamic GMP inspections, and post-market surveillance, marking a transition to holistic lifecycle oversight. Key milestones include the introduction of the Vaccine Management Law (2019) and stricter penalties under the Criminal Law Amendment (XI) (2020). Conclusions: China’s lifecycle regulation model demonstrates potential to harmonize safety and innovation, evidenced by improved API export compliance (e.g., 15% increase in international certifications by 2023) and accelerated approvals for breakthrough therapies (e.g., domestically developed PD-1 inhibitors). However, challenges persist, including uneven enforcement capacities, tensions between conditional approvals and risk mitigation, and reliance on global supply chains. These findings provide critical lessons for developing countries navigating similar regulatory dilemmas. Full article