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About forty years after its first application, digital image correlation (DIC) has become an established method for measuring surface displacements and deformations of objects under stress. To date, DIC has been used in a variety of in vitro and in vivo studies to biomechanically characterise biological samples in order to reveal biomimetic principles. However, when surfaces of samples strongly deform or twist, they cannot be thoroughly traced. To overcome this challenge, different DIC setups have been developed to provide additional sensor perspectives and, thus, capture larger parts of an object's surface. Herein, we discuss current solutions for this multi-perspective DIC, and we present our own approach to a 360° DIC system based on a single stereo-camera setup. Using this setup, we are able to characterise the desiccation-driven opening mechanism of two woody Hakea fruits over their entire surfaces. Both the breaking mechanism and the actuation of the two valves in predominantly dead plant material are models for smart materials. Based on these results, an evaluation of the setup for 360° DIC regarding its use in deducing biomimetic principles is given. Furthermore, we propose a way to improve and apply the method for future measurements. [ABSTRACT FROM AUTHOR]

(1) Background: The current study examined the correlations between platelet count (PC), spleen diameter (SD), and their ratio to establish a non-invasive technique for predicting the presence of oesophageal varices in cirrhotic patients. (2) Methods: The current study was an observational study conducted in the Gastroenterology Department at IMS and SUM Hospital from November 2019 to November 2021. Consecutive cirrhotic patients without a history of gastrointestinal bleeding were enrolled in the study, and the esophageal varices were assessed. The patients underwent the necessary tests, including upper gastrointestinal endoscopy, liver function testing, abdominal ultrasonography, and full hemograms. All these parameters were analyzed statistically through SPSS version 23, and p ≤ 0.05 was considered statistically significant. (3) Results: There were significant differences between cases with and without esophageal varices in the following parameters: PC, SD and their ratio, hemoglobin, and ALT level. The PC/SD ratio of ≤ 1400 was associated with a sensitivity of 90.9%, specificity of 80.8%, and a positive predictive value of 82.56% in predicting the presence of oesophageal varices, as per receiver operating curve (ROC) analysis in our study. (4) Conclusions: Esophageal varices can be predicted non-invasively using the platelet count, spleen diameter, and PC/SD ratio. [ABSTRACT FROM AUTHOR]

The involvement of the prefrontal cortical dopaminergic system in the psychopathology of epilepsies and comorbid conditions such as autism spectrum disorder (ASD) still needs to be explored. We used autoradiography to study the D1-like (D1DR) and D2-like (D2DR) receptor binding density in the prefrontal cortex of normal Wistar rats and Wistar-derived strains with generalized convulsive and/or non-convulsive epilepsy. WAG/Rij rats served as a model for non-convulsive absence epilepsy, WAG/Rij-AGS as a model of mixed convulsive/non-convulsive form, and KM strain was a model for convulsive epilepsy comorbid with an ASD-like behavioral phenotype. The prefrontal cortex of rats with any epileptic pathology studied demonstrated profound decreases in binding densities to both D1DR and D2DR; the effects were localized in the primary and secondary anterior cingulate cortices, and adjacent regions. The local decreased D1DR and D2DR binding densities were independent of (not correlated with) each other. The particular group of epileptic rats with an ASD-like phenotype (KM strain) displayed changes in the lateral prefrontal cortex: D1DR were lowered, whereas D2DR were elevated, in the dysgranular insular cortex and adjacent regions. Thus, epilepsy-related changes in the dopaminergic system of the rat archeocortex were localized in the medial prefrontal regions, whereas ASD-related changes were seen in the lateral prefrontal aspects. The findings point to putative local dopaminergic dysfunctions, associated with generalized epilepsies and/or ASD. [ABSTRACT FROM AUTHOR]

Wheat (Triticum aestivum) employs various strategies to defend against Fusarium oxysporum, a soilborne vascular fungal pathogen that disrupts structural integrity and metabolism. The purpose of this research was to ascertain the alterations of anatomical and biochemical responses in wild-type (WT) and DPA-treated wheat (T. aestivum) seedlings exposed to F. oxysporum. The WT and DPA-treated seedlings showed disorganization of parenchyma cells, sclerenchyma cells, vascular bundles (VBs), and lower numbers of xylem (Xy) and phloem (Ph) cells, and reduced thickness of the cuticle layer (C) at the epidermal layer of shoots. The content of chlorophyll (Chl), carbohydrate, and nucleic acid was reduced in WT and DPA-treated seedlings during infection. Enhanced defense responses through peroxidase (POD), and polyphenol oxidase (PPO) was observed to be high in WT as compared to DPAtreated seedlings under stress condition. In addition, the content of salicylic acid (SA) and phenolics was increased in WT than DPA under stress condition. However, the DPA-treated seedlings showed enhanced growth of fungal mycelia compared to WT during stress condition. Hence, the anatomical and biochemical aspects of DPA-treated seedlings decreased as compared to WT when exposed to F. oxysporum. [ABSTRACT FROM AUTHOR]

In recruitment, promotion, admission, and other forms of wealth and power apportion, an evaluator typically ranks a set of candidates in terms of their perceived competence. If the evaluator is prejudiced, the resulting ranking will misrepresent the candidates' actual ranking. This constitutes not only a moral and a practical problem, but also an epistemological one, which begs the question of what we should do – epistemologically – to mitigate it. The article is an attempt to begin to answer this question. I first explore the presuppositions that must obtain for individual interventions to likely yield positive epistemological effects in ranking situations. I then compare these with the corresponding presuppositions of a novel, 'post hoc' approach to deprejudicing due to Jönsson and Sjödahl (Episteme 14(4):499–517, 2017), which does not attempt to change evaluators but attempts to increase the veracity of the rankings they produce after the fact (but before the rankings give rise to discriminatory effects) using statistical methods. With these two sets of presuppositions in place, I describe the limitations imposed by each presupposition on its intervention, compare presuppositions across the two kinds of interventions, and conclude that the two kinds of interventions importantly complement each other by having fairly disjoint, but non–conflicting, presuppositions. The post hoc intervention can thus complement an individual intervention (and vice versa) in situations where both are applicable (by adding further increases in veracity), but also by applying to situations where that intervention is not applicable (and thereby increase veracity in situations beyond the reach of that intervention). [ABSTRACT FROM AUTHOR]

Evidence accumulation models are a series of computational models that provide an account for speeded decision-making. These models have been used extensively within the cognitive psychology literature to great success, allowing inferences to be drawn about the psychological processes that underlie cognition that are sometimes not available in a traditional analysis of accuracy or reaction time (RT). Despite this, there have been only a few applications of these models within the domain of social cognition. In this article, we explore several ways in which the study of human social information processing would benefit from application of evidence accumulation modelling. We begin first with a brief overview of the evidence accumulation modelling framework and their past success within the domain of cognitive psychology. We then highlight five ways in which social cognitive research would benefit from an evidence accumulation approach. This includes (1) greater specification of assumptions, (2) unambiguous comparisons across blocked task conditions, (3) quantifying and comparing the magnitude of effects in standardised measures, (4) a novel approach for studying individual differences, and (5) improved reproducibility and accessibility. These points are illustrated using examples from the domain of social attention. Finally, we outline several methodological and practical considerations, which should help researchers use evidence accumulation models productively. Ultimately, it will be seen that evidence accumulation modelling offers a well-developed, accessible, and commonly understood framework that can reveal inferences about cognition that may otherwise be out of reach in a traditional analysis of accuracy and RT. This approach, therefore, has the potential to substantially revise our understanding of social cognition. [ABSTRACT FROM AUTHOR]

This document explores the effects of pre- and postharvest treatments on the quality and storage ability of fresh artichoke heads. It discusses various treatments such as mineral fertilization, oxalic acid, gibberellins, and methyl jasmonate, and their impact on factors like inulin content, sensory levels, respiration rate, weight loss, and phenolic compounds. The article provides valuable insights for producers and consumers interested in preserving the quality of artichokes. Additionally, the document includes a list of references to scientific articles covering topics such as fertilization regimes, chemical treatments, and pre-harvest factors that affect the quality and nutritional value of artichokes. Another section of the document discusses the effects of postharvest treatments on the ripening process and quality of fruits and vegetables, specifically focusing on salicylic acid, acetylsalicylic acid, oxalic acid, and gibberellic acid. The research suggests that these treatments can delay ripening, enhance bioactive compounds, and increase antioxidant capacity in sweet cherry, okra, and kiwifruit. These findings provide valuable insights for improving postharvest storage and maintaining the quality of these crops. [Extracted from the article]

Each year, people spend less time reading and more time viewing images1, which are proliferating online2–4. Images from platforms such as Google and Wikipedia are downloaded by millions every day2,5,6, and millions more are interacting through social media, such as Instagram and TikTok, that primarily consist of exchanging visual content. In parallel, news agencies and digital advertisers are increasingly capturing attention online through the use of images7,8, which people process more quickly, implicitly and memorably than text9–12. Here we show that the rise of images online significantly exacerbates gender bias, both in its statistical prevalence and its psychological impact. We examine the gender associations of 3,495 social categories (such as 'nurse' or 'banker') in more than one million images from Google, Wikipedia and Internet Movie Database (IMDb), and in billions of words from these platforms. We find that gender bias is consistently more prevalent in images than text for both female- and male-typed categories. We also show that the documented underrepresentation of women online13–18 is substantially worse in images than in text, public opinion and US census data. Finally, we conducted a nationally representative, preregistered experiment that shows that googling for images rather than textual descriptions of occupations amplifies gender bias in participants' beliefs. Addressing the societal effect of this large-scale shift towards visual communication will be essential for developing a fair and inclusive future for the internet. We find that gender bias is more prevalent in images than text, that the underrepresentation of women online is substantially worse in images and that googling for images amplifies gender bias in a person's beliefs. [ABSTRACT FROM AUTHOR]

Involuntary psychiatric admission poses a challenge in terms of providing the most effective yet least restrictive care in accordance with each country's regulations. Effective communication and coordination between the justice, police, and healthcare systems are essential for the successful implementation of this process. This study examines the sociodemographic, clinical, and parametric factors involved in the status of involuntary admission. A retrospective analysis of 292 cases grounded in the Hellenic Police records was conducted to indicate differences between involuntarily and non-hospitalized patients as well as risk and protective factors for the status of compulsory admission in psychiatric units located in Athens, Greece. Out of a total of 292 cases, 240 (77.4%) concerned involuntarily hospitalized patients, compared to 52 (16.8%) non-hospitalized. The most prevalent diagnosis among involuntarily hospitalized patients was schizophrenia, schizotypal, and delusional disorders (53.5%), in contrast to non-hospitalized patients, for whom it was affective disorders (33.3%). Affective disorders, along with neurotic, stress-related, and somatoform disorders, were found to offer a protective factor against involuntary hospitalizations. Our findings indicate that involuntary hospitalizations are associated with procedural downsides, detrimentally affecting mental health treatment recipients. Therefore, community-based compulsory therapeutic interventions should be incorporated into the mental health agenda of Greece. [ABSTRACT FROM AUTHOR]

Background: The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasing generative AI policies, ranging from asking authors for acknowledgement or declaration to the outright banning of use., Results: Here, we briefly discuss the basics of machine learning, generative AI, and how it will affect scientific publishing. We focus especially on potential risks and benefits to the scientific community as a whole and journals specifically., Conclusion: While the concerns of editors, for example about manufactured studies, are valid, some recently implemented or suggested policies will not be sustainable in the long run. The quality of generated text and code is quickly becoming so high that it will not only be impossible to detect the use of generative AI but would also mean taking a powerful tool away from researchers that can make their life easier every day., Significance: We discuss the history and current state of AI and highlight its relevance for medical publishing and pain research. We provide guidance on how to act now to increase good scientific practice in the world of ChatGPT and call for a task force focusing on improving publishing pain research with use of generative AI., (© 2024 The Author(s). European Journal of Pain published by John Wiley & Sons Ltd on behalf of European Pain Federation ‐ EFIC ®.)

Background: The cause of food allergy (FA) is still a mystery. Telomerases are involved in the regulation of immune responses. This study aims to gain an understanding of the contribution of telomerase reverse transcriptase (TERT) to the pathogenesis of FA., Methods: A murine FA model was established with ovalbumin as the specific antigen. The role of TERT in regulating dendritic cell (DC) immune tolerogenic functions was evaluated in this murine model., Results: We observed that the Tert promoter was at demethylation status and the Tert expression was elevated in DCs of FA mice. The Tert expression in DCs had a positive correlation with the FA response. TERT prevented the induction of Il10 expression in DCs. The immune tolerogenic functions of DCs were diminished by TERT. The immune tolerogenic functions of DC were restored by CpG by boosting the Tert promoter methylation. Administration of CpG promoted the therapeutic effects of allergen specific immunotherapy in FA mice., Conclusions: Low levels of Il10 expression and high levels of Tert expression were observed in intestinal DCs of FA mice. CpG exposure restored the expression of Il10 and increased the therapeutic benefits of allergen-specific immunotherapy., Competing Interests: Declarations Conflict of interest None to declare., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The brain-gut axis plays a vital role in connecting the cognitive and emotional centers of the brain with the intricate workings of the intestines. An imbalance in the microbiota-mediated brain-gut axis extends far beyond conditions like Irritable Bowel Syndrome (IBS) and obesity, playing a critical role in the development and progression of various neurological disorders, including epilepsy, depression, Alzheimer's disease (AD), and Parkinson's disease (PD). Epilepsy, a brain disorder characterized by unprovoked seizures, affects approximately 50 million people worldwide. Accumulating evidence suggests that rebuilding the gut microbiota through interventions such as fecal microbiota transplantation, probiotics, and ketogenic diets (KD) can benefit drug-resistant epilepsy. The disturbances in the gut microbiota could contribute to the toxic side effects of antiepileptic drugs and the development of drug resistance in epilepsy patients. These findings imply the potential impact of the gut microbiota on epilepsy and suggest that interventions targeting the microbiota, such as the KD, hold promise for managing and treating epilepsy. However, the full extent of the importance of microbiota in epilepsy treatment is not yet fully understood, and many aspects of this field remain unclear. Therefore, this article aims to provide an overview of the clinical and animal evidence supporting the regulatory role of gut microbiota in epilepsy, and of potential pathways within the brain-gut axis that may be influenced by the gut microbiota in epilepsy. Furthermore, we will discuss the recent advancements in epilepsy treatment, including the KD, fecal microbiota transplantation, and antiseizure drugs, all from the perspective of the gut microbiota. [ABSTRACT FROM AUTHOR]

Apolipoprotein E4 (APOE4), although yet-to-be fully understood, increases the risk and lowers the age of onset of Alzheimer's disease (AD), which is the major cause of dementia among elderly individuals. The endosome-lysosome and autophagy pathways, which are necessary for homeostasis in both neurons and glia, are dysregulated even in early AD. Nonetheless, the contributory roles of these pathways to developing AD-related pathologies in APOE4 individuals and models are unclear. Therefore, this review summarizes the dysregulations in the endosome-lysosome and autophagy pathways in APOE4 individuals and non-human models, and how these anomalies contribute to developing AD-relevant pathologies. The available literature suggests that APOE4 causes endosomal enlargement, increases endosomal acidification, impairs endosomal recycling, and downregulates exosome production. APOE4 impairs autophagy initiation and inhibits basal autophagy and autophagy flux. APOE4 promotes lysosome formation and trafficking and causes ApoE to accumulate in lysosomes. APOE4-mediated changes in the endosome, autophagosome and lysosome could promote AD-related features including Aβ accumulation, tau hyperphosphorylation, glial dysfunction, lipid dyshomeostasis, and synaptic defects. ApoE4 protein could mediate APOE4-mediated endosome-lysosome-autophagy changes. ApoE4 impairs vesicle recycling and endosome trafficking, impairs the synthesis of autophagy genes, resists being dissociated from its receptors and degradation, and forms a stable folding intermediate that could disrupt lysosome structure. Drugs such as molecular correctors that target ApoE4 molecular structure and enhance autophagy may ameliorate the endosome-lysosome-autophagy-mediated increase in AD risk in APOE4 individuals. [ABSTRACT FROM AUTHOR]

According to the expression of miRNA in pathological processes, miRNAs can be divided into oncogenes or tumor suppressors. Prediction of the regulation relations between miRNAs and small molecules (SMs) becomes a vital goal for miRNA-target therapy. But traditional biological approaches are laborious and expensive. Thus, there is an urgent need to develop a computational model. In this study, we proposed a computational model to predict whether the regulatory relationship between miRNAs and SMs is up-regulated or down-regulated. Specifically, we first use the Large-scale Information Network Embedding (LINE) algorithm to construct the node features from the self-similarity networks, then use the General Attributed Multiplex Heterogeneous Network Embedding (GATNE) algorithm to extract the topological information from the attribute network, and finally utilize the Light Gradient Boosting Machine (LightGBM) algorithm to predict the regulatory relationship between miRNAs and SMs. In the fivefold cross-validation experiment, the average accuracies of the proposed model on the SM2miR dataset reached 79.59% and 80.37% for up-regulation pairs and down-regulation pairs, respectively. In addition, we compared our model with another published model. Moreover, in the case study for 5-FU, 7 of 10 candidate miRNAs are confirmed by related literature. Therefore, we believe that our model can promote the research of miRNA-targeted therapy. [ABSTRACT FROM AUTHOR]

Epilepsy represents a condition in which abnormal neuronal discharges or the hyperexcitability of neurons occur with synchronicity, presenting a significant public health challenge. Prognostic factors, such as etiology, electroencephalogram (EEG) abnormalities, the type and number of seizures before treatment, as well as the initial unsatisfactory effects of medications, are important considerations. Although there are several third-generation antiepileptic drugs currently available, their multiple side effects can negatively affect patient quality of life. The inheritance and etiology of epilepsy are complex, involving multiple underlying genetic and epigenetic mechanisms. Different neurotransmitters play crucial roles in maintaining the normal physiology of different neurons. Dysregulations in neurotransmission, due to abnormal transmitter levels or changes in their receptors, can result in seizures. In this review, we address the roles played by various neurotransmitters and their receptors in the pathophysiology of epilepsy. Furthermore, we extensively explore the neurological mechanisms involved in the development and progression of epilepsy, along with its risk factors. Furthermore, we highlight the new therapeutic targets, along with pharmacological and non-pharmacological strategies currently employed in the treatment of epileptic syndromes, including drug interventions employed in clinical trials related to epilepsy. [ABSTRACT FROM AUTHOR]

Beginning in the mid-1980s, scientific psychology underwent a revolution – the implicit revolution – that led to the development of methods to capture implicit bias: attitudes, stereotypes, and identities that operate without full conscious awareness or conscious control. This essay focuses on a single notable thread of discoveries from the Race Attitude Implicit Association Test (RA-IAT) by providing 1) the historical origins of the research, 2) signature and replicated empirical results for construct validation, 3) further validation from research in sociocognitive development, neuroscience, and computer science, 4) new validation from robust association between regional levels of race bias and socially significant outcomes, and 5) evidence for both short- and long-term attitude change. As such, the essay provides the first comprehensive repository of research on implicit race bias using the RA-IAT. Together, the evidence lays bare the hollowness of current-day actions to rectify disadvantage experienced by Black Americans at individual, institutional, and societal levels. [ABSTRACT FROM AUTHOR]

The civil rights movement spurred U.S. companies and universities to implement antidiscrimination programs. Beginning in the early 1960s, employers adopted anti bias training as their first line of defense against bigotry. Even then, there was substantial evidence that this approach was unlikely to lessen bias. In this essay, we discuss social science research on the effects of antibias training, as well as research on systemic approaches to reducing institutional discrimination based on insights from contact theory. As sociologist Samuel Stouffer and psychologist Gordon Allport, the progenitors of contact theory, might have predicted by the end of World War II, we find that interventions to change career systems to maximize intergroup contact can promote workplace equity. [ABSTRACT FROM AUTHOR]

Neuroscience is a fantastic tool for peeking inside our minds and unpacking the component processes that drive social group biases. Brain research is vital for studying racial bias because neuroscientists can investigate these questions without asking people how they think and feel, as some individuals may be unaware or reluctant to report it. For the past twenty-five years, neuroscientists have diligently mapped implicit racial bias's neural foundations. As with any new approach, the emergence of neuroscience in studying implicit racial bias has elicited excitement and skepticism: excitement about connecting social biases to biological machinery, and skepticism that neuroscience may provide little to our understanding of social injustice. In this essay, I dive into what we have learned about implicit racial bias from the brain and the limitations of our current approach. I conclude by discussing what is on the horizon for neuroscience research on racial bias and social injustice. [ABSTRACT FROM AUTHOR]

Malnutrition and sarcopenia are highly prevalent in patients with decompensated cirrhosis and are associated with poorer clinical outcomes. Their pathophysiology is complex and multifactorial, with protein-calorie malnutrition, systemic inflammation, reduced glycogen stores and hormonal imbalances all well reported. The direct contribution of portal hypertension to these driving factors is however not widely documented in the literature. This review details the specific mechanisms by which portal hypertension directly contributes to the development of malnutrition and sarcopenia in cirrhosis. We summarise the existing literature describing treatment strategies that specifically aim to reduce portal pressures and their impact on nutritional and muscle outcomes, which is particularly relevant to those with end-stage disease awaiting liver transplantation. [ABSTRACT FROM AUTHOR]

Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated images remains scarce. We addressed this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALL·E 2 images spanning 153 occupations. We assessed potential bias amplification by benchmarking against the 2021 U.S. census data and Google Images. Our findings reveal that DALL·E 2 underrepresents women in male-dominated fields while overrepresenting them in female-dominated occupations. Additionally, DALL·E 2 images tend to depict more women than men with smiles and downward-pitching heads, particularly in female-dominated (versus male-dominated) occupations. Our algorithm auditing study demonstrates more pronounced representational and presentational biases in DALL·E 2 compared to Google Images and calls for feminist interventions to curtail the potential impacts of such biased AI-generated images on the media ecology. [ABSTRACT FROM AUTHOR]

Pomegranate is a temperature-sensitive fruit during postharvest storage. If exposed to cold temperatures above its freezing point for a long time, it will suffer from cold stress. Failure to pay attention to the symptoms that may occur during storage will result in significant damage. Identifying pomegranates susceptible to cold damage in a timely manner requires considerable skill, time and cost. Therefore, non-destructive and real-time methods offer great benefits for commercial producers. To this end, the purpose of this study is the non-destructive identification of healthy frozen pomegranates. First, healthy pomegranates were collected, and hyperspectral images were acquired using a hyperspectral camera. Then, to ensure that enough frozen pomegranates were collected for model training, all samples were kept in cold storage at 0 °C for two months. They were then transferred to the laboratory and hyperspectral images were taken from all of them again. The dataset consisted of frozen and healthy images of pomegranates in a ratio of 4:6. The data was divided into three categories, training, validation and test, each containing 1/3 of the data. Since there is a class imbalance in the training data, it was necessary to increase the data of the frozen class by the amount of its difference with the healthy class. Deep learning networks with ResNeXt, RegNetX, RegNetY, EfficientNetV2, VisionTransformer and SwinTransformer architectures were used for data analysis. The results showed that the accuracies of all models were above 99%. In addition, the accuracy values of RegNetX and EfficientNetV2 models are close to one, which means that the number of false positives is very small. In general, due to the higher accuracy of EfficientNetV2 model, as well as its relatively high precision and recall compared to other models, the F1 score of this model is also higher than the others with a value of 0.9995. [ABSTRACT FROM AUTHOR]

Under modern tort law, the "strict" product liability cause of action does not impose true strict liability (liability without fault). This Article suggests that this counterintuitive development is not the byproduct of a policy choice. Instead, an unresolved doctrinal difficulty is responsible for the modern requirement that a plaintiff prove fault before winning on a "strict" product liability claim. The doctrinal difficulty is this: How can tort law impose liability on faultless product manufacturers while simultaneously preventing plaintiffs with fault from being able to recover under a true strict liability standard? This Article posits that both results are desirable--true strict product liability, but not for plaintiffs with fault--but that it is analytically difficult to assemble tort doctrine to get both results. Without a doctrinal solution that allows for both results, courts have (mostly) retreated from a true strict product liability standard. This Article offers a simple solution to this analytical/doctrinal riddle: Restoring the strict product liability cause of action such that it truly imposes liability without fault, while allowing defendants a contributory negligence (flat-bar) defense to this strict liability claim. Under this doctrinal change, plaintiffs without fault would be able to recover from manufacturers on a true strict product liability claim. Plaintiffs with fault, however, would be forced to pursue a negligence claim, meaning that their ability to recover would require them to show that the defendant also had fault. This doctrinal fix uses tools and concepts already familiar to modern tort law and is thus easily achievable. In fact, all that is necessary to effectuate this result is a simple, minor change to the current comparative fault jury instructions used in most jurisdictions. [ABSTRACT FROM AUTHOR]

This document is a special issue that focuses on new advances in food processing and storage. It highlights the importance of constantly generating knowledge about the effects of technological treatments and storage on food components and properties. The issue includes studies on various topics such as the effects of heat treatment, canning, pulsed electric field technology, and the preservation of pomegranate and tomato. It also explores the development of new ingredients, additives, and manufacturing processes to meet consumer demands for innovative foods. The document provides summaries of several research studies, including the effects of adding guar gum and locust bean gum to rice starch gel, the culinary properties of aquafaba in French egg-free baked meringues, the development of vegan bonbons enriched with lyophilized peach powder, and the comparison of different extraction methods for obtaining polyphenol-rich extracts from Lavandula pedunculata. These studies contribute to the development of alternative ingredients and food products that cater to diverse dietary preferences and promote sustainability. [Extracted from the article]

Spain is one of the main contributors to global pomegranate production. Pomegranate presents a challenge for preservation at suboptimal temperatures. Preserving this fruit for an extended period is challenging due to its susceptibility to chilling injury (CI). For this reason, we have examined different postharvest treatments to extend the pomegranate shelf life and their potential impact on reducing CI. For this reason, two postharvest treatments have been applied: 1-Methylcyclopropene (1000 nL L−1 1-MCP) and methyl jasmonate vapors (0.01 mM MeJA), a natural elicitor found in many plant organs that induces a wide range of physiological processes, including the activation of defense mechanisms against stress. Following the application of these treatments and subsequent fruit storage at 2 °C for 90 days, maintenance of firmness and membrane integrity was observed. Additionally, a positive synergic effect was observed in these quality traits when combining both substances (1-MCP + MeJA), especially with regard to delaying weight loss, the external color evolution, and total polyphenol accumulation. On the other hand, MeJA treatment alone or in combination with 1-MCP also increased the anthocyanin content in arils, thereby enhancing the fruit quality. In general, the best results were observed when these two different technologies were applied as a combined treatment, especially in terms of maintaining quality traits such as fruit firmness and total acidity and reducing weight loss and CI. This is the first time that these two substances have been tested together in any fruit species, and their simultaneous application in the same container represents an innovative approach that could be an interesting tool for commercial purposes. [ABSTRACT FROM AUTHOR]

Online terms-of-use (TOUs) are the most widely used form contracts in human history. But TOUs are as poorly understood as they are ubiquitous. Their proliferation has fueled a yawning gap between contract law and consumer reality. The notion that users read and understand online TOUs, disproven in academic research, is the subject of pop culture mockery. Yet contract law assumes something very different. Because classic legal doctrines apply to online contracts, consumers routinely find themselves legally bound to contracts they have not--and often could not--read. In this Article, we evaluate the law and linguistics of a critical area of consumer contracting: smartphone-based social platforms. Our interdisciplinary study examines an original dataset of 195 contracts (TOUs, privacy policies, and community guidelines) for seventy-five apps. Our analysis highlights a decoupling of contract doctrine and consumer reality in the smartphone age of online contracting. Our results show that this divergence is fueled by extraordinary volume, complexity, and asymmetries in platform-to-consumer contracts. In addition, our results offer evidence that the decoupling has grown in recent years. [ABSTRACT FROM AUTHOR]

Changes in source code are an inevitable part of software development. They are the results of indispensable activities such as fixing bugs or improving functionality. Descriptions for code changes (commit messages) help people better understand the changes. However, due to the lack of motivation and time pressure, writing high-quality commit messages remains reluctantly considered. Several methods have been proposed with the aim of automated commit message generation. However, the existing methods are still limited because they only utilize either the changed codes or the changed codes combined with their surrounding statements. This paper proposes a method to represent code changes by combining the changed codes and the unchanged codes which have program dependence on the changed codes. Specifically, we first create program dependence graphs (PDGs) of source code before and after the change. After that, slices related to the changed code from these PDGs are extracted. These slices are then merged to represent the change. This method overcomes the limitations of current representations while improving the performance of 5/6 of state-of-the-art commit message generation methods by up to 15% in METEOR, 14% in ROUGE-L, and 10% in BLEU-4. [ABSTRACT FROM AUTHOR]

Obstructive sleep apnea syndrome (OSAS) refers to the current apnea during sleep caused by upper airway collapse. Meanwhile, epilepsy is a common neurological disorder with a tendency for spontaneous and persistent seizures. Accumulating evidence indicates that OSAS was not independent of epilepsy. Patients with OSAS were observed to be susceptible to epilepsy, while OSAS could decrease the seizure threshold in epilepsy. However, the mechanisms underlying the association of OSAS with epilepsy have not been fully understood. In this study, we propose that intermittent hypoxia, common among OSAS patients due to upper airway collapse, is the linkage between OSAS and epilepsy. Intermittent hypoxia induces elevated levels of oxidative stress and inflammation, potentially causing excessive inflammatory and endoplasmic reticulum stress in brain tissue, which might ultimately lead to the development of epilepsy. Therapeutic approaches targeting inflammation and oxidative stress may provide novel insights into the treatment of OSAS and epilepsy [ABSTRACT FROM AUTHOR]

Competition between athletes and an increase in sporting knowledge have greatly influenced training methods while increasing the number of them more and more. As a result, the number of athletes who have increased the number and intensity of their workouts while decreasing recovery times is rising. Positive overtraining could be considered a natural and fundamental process when the result is adaptation and improved performance; however, in the absence of adequate recovery, negative overtraining could occur, causing fatigue, maladaptation, and inertia. One of the earliest forms of fatigue is overreaching. It is considered to be an accumulation of training that leads to reduced sports performance, requiring days or weeks to recover. Overreaching, if followed by adequate recovery, can lead to an increase in athletic performance. Nonetheless, if overreaching becomes extreme, combined with additional stressors, it could lead to overtraining syndrome (OTS). OTS, caused by systemic inflammation, leads to central nervous system (CNS) effects, including depressed mood, further inflammation, central fatigue, and ultimately neurohormonal changes. There are therefore not only physiological, biochemical, and immunological but also psychological symptoms or markers that must be considered, independently or together, being intrinsically linked with overtraining, to fully understand OTS. However, to date, there are very few published studies that have analyzed how nutrition in its specific food aspects, if compromised during OTS, can be both etiology and consequence of the syndrome. To date, OTS has not yet been fully studied, and the topic needs further research. The purpose of this narrative review is therefore to study how a correct diet and nutrition can influence OTS in all its aspects, from prevention to treatment. [ABSTRACT FROM AUTHOR]

In recent decades, the global demographic landscape has undergone a discernible shift that has been characterised by a progressive increase in the proportion of elderly individuals, indicative of an enduring global inclination toward extended lifespans. The aging process, accompanied by physiological changes and dietary patterns, contributes to detrimental deviations in micronutrient consumption. This vulnerable aging population faces heightened risks, including dental caries, due to structural and functional modifications resulting from insufficient nutritional sustenance. Factors such as physiological changes, inadequate nutrition, and the prevalence of multiple chronic pathologies leading to polypharmacy contribute to the challenge of maintaining an optimal nutritional status. This scenario increases the likelihood of drug interactions, both between medications and with nutrients and the microbiome, triggering complications such as dental decay and other pathologies. Since the drug industry is evolving and new types of food, supplements, and nutrients are being designed, there is a need for further research on the mechanisms by which drugs interfere with certain nutrients that affect homeostasis, exemplified by the prevalence of caries in the mouths of older adults. Infectious diseases, among them dental caries, exert serious impacts on the health and overall quality of life of the elderly demographic. This comprehensive review endeavours to elucidate the intricate interplay among drugs, nutrients, the microbiome, and the oral cavity environment, with the overarching objective of mitigating the potential hazards posed to both the general health and dental well-being of older adults. By scrutinising and optimising these multifaceted interactions, this examination aims to proactively minimise the susceptibility of the elderly population to a spectrum of health-related issues and the consequences associated with dental decay. [ABSTRACT FROM AUTHOR]

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The overall prevalence of hyponatremia in cirrhotics is around 50%. Hypovolemic hyponatremia is a result of excessive fluid loss caused mostly by diuretic treatment or diarrhea. More common is hypervolemic hyponatremia, which results from excessive activation of water and sodium-retaining mechanisms caused by effective arterial hypovolemia. This review focuses on the associations of hyponatremia with clinical outcomes and reviews the available data on its management. Hyponatremia is a strong predictor of mortality and is also associated with an increased probability of hepatorenal syndrome, disturbance of consciousness, infections, and unfavorable post-transplant outcomes. In the management of hyponatremia, it is crucial to distinguish between hypovolemic and hypervolemic hyponatremia. The treatment of hypervolemic hyponatremia should be started only in symptomatic patients. The cessation of the treatment with traditional diuretics and fluid restriction may prevent further decrease in natremia. Pharmacological treatment is directed towards cirrhosis itself, precipitating factor, or hyponatremia directly. Currently, only albumin infusions can be recommended routinely. Other possibilities, such as vaptans, splanchnic vasoconstrictors, niravoline, or osmotic diuretics, are restricted to specific use cases (e.g., imminent liver transplantation) or need more research to determine their efficacy. We tried to summarize the management of hyponatremia into a concise flowchart. [ABSTRACT FROM AUTHOR]

Purpose: Frozen elephant trunk (FET) was born as an ideal one-step procedure to treat complex arch and descending thoracic aorta pathology. It was then proved that it frequently needs reintervention, which can often be performed by thoracic endovascular aortic repair (TEVAR) extension since FET provides a safe proximal landing zone. We hereby describe our experience in TEVAR extension after FET, its main indications, technique, and outcomes. Methods: Between 2007 and 2022, 371 patients underwent FET at our center. Of these, 119 needed TEVAR extension. Some required more than one TEVAR, with a total of 154 procedures. The preoperative characteristics, indications, and outcomes were analyzed retrospectively. Results: Of 154 TEVAR procedures, 15 were performed in an urgent setting. Mean time from FET to TEVAR was 22,2 ± 28,73 months. Two patients died in the operating room; no others died during the hospital stay. Survival after 1, 2, 5, and 10 years was 96.2%, 93.9%, 90.1%, and 70.5% respectively. There was no statistically significant difference in the rates of TEVAR extension for patients in which a Thoraflex™ vs E-vita™ graft was used, nor for zone 2 vs zone 3 anastomosis and stent length. Conclusion: Though TEVAR extension is often required after FET, it is a safe and effective procedure with excellent post-operative outcomes in the short-, mid-, and long-term and allows successful treatment of complex aortic pathologies. Rigorous and specialized follow-up after FET is central to identify the right moment to intervene. [ABSTRACT FROM AUTHOR]

In recent years, there was an increase in the commercial offer of vegetable oils from unconventional sources, such as fruit, vegetable, and herb seeds. The paper presents a synthesis of available scientific information on 27 oils obtained from the seeds of 14 fruit species (apple, apricot, chokeberry, black berry, blackcurrant, blue berry, cherry, Japanese quince, pear, plum, quince, raspberry, rosehip, and strawberry), 8 vegetable species (broccoli, cabbage, carrot, cucumber, onion, parsley, radish, and tomato), and 5 herb species (basil, coriander, fennel, fenugreek, and perilla). A review of the literature showed that oil content in these seeds ranges from ca. 5% for fenugreek to over 55% for apricot kernels. A recommended n-6/n-3 fatty acid ratio below 4-5/1 was noted in 11 species. Japanese quince, blackcurrant, and fenugreek seed oils seem to be good sources of phytosterols. Radish seed oil was mostly abundant in tocols, Japanese quince seed oil in squalene, and blackcurrant seed oil in carotenoids. Unfortunately, actual data on the composition of these seed oils are highly variable, making it difficult to precisely identify the most nutritionally valuable oils. [ABSTRACT FROM AUTHOR]

This article examines the potential of and limits to the use of machine learning for financial regulation. Ideally, if we could fully understand the financial system and agree on long- and short-term regulatory goals, we would be able to write code that carries out the computation that extracts proper representations from the data and makes correct regulatory decisions. We cannot do this yet because of limited sources of data, the bias brought by human beings and algorithmic models, and the difficulty of improving uninterpretable models. Furthermore, since law is a combination of merits and facts, there are difficulties in establishing the ground truth, modeling complex financial systems, and attaining fair outcomes simply based on statistics. Statistics, as a method of inductive learning, can only recognize patterns from existing data. From a methodological perspective, this represents a paradigm shift from observational study (deduction) to data analytics (induction). However, in the financial field, there is a fundamental difference between measurable risks and unknowable uncertainty in the future, which significantly affects the reliability of models to determine regulation based on estimated risks. Therefore, algorithmic models cannot make reliable suggestions about unusual situations, nor deal with complex problems that lack sufficient training data. In cases of algorithmic regulation, despite the predetermined regulatory goals, specific standards should remain adaptive to new data collected from the regulated environment, so as to mitigate bias generated from historical data and the initial model setting. [ABSTRACT FROM AUTHOR]

What is more effective to guide behavior: The desire to gain or the fear to lose? Electroencephalography (EEG) studies have yielded inconsistent answers. In a systematic exploration of the valence and magnitude parameters in monetary gain and loss processing, we used time‐domain and time‐frequency‐domain analyses to uncover the underlying neural processes. A group of 24 participants performed a monetary incentive delay (MID) task in which cue‐induced anticipation of a high or low magnitude of gain or loss was manipulated trial‐wise. Behaviorally, the anticipation of both gain and loss expedited responses, with gain anticipation producing greater facilitation than loss anticipation. Analyses of cue‐locked P2 and P3 components revealed the significant valence main effect and valence × magnitude interaction: amplitude differences between high and low incentive magnitudes were larger with gain vs. loss cues. However, the contingent negative variation component was sensitive to incentive magnitude but did not vary with incentive valence. In the feedback phase, the RewP component exhibited reversed patterns for gain and loss trials. Time‐frequency analyses revealed a large increase in delta/theta‐ERS oscillatory activity in high‐ vs. low‐magnitude conditions and a large decrease of alpha‐ERD oscillatory activity in gain vs. loss conditions in the anticipation stage. In the consumption stage, delta/theta‐ERS turned out stronger for negative than positive feedback, especially in the gain condition. Overall, our study provides new evidence for the neural oscillatory features of monetary gain and loss processing in the MID task, suggesting that participants invested more attention under gain and high‐magnitude conditions vs. loss and low‐magnitude conditions. Electroencephalography studies have yielded inconsistent answers to the question of what is more effective to guide behavior: The desire to gain or the fear to lose? The current study systematically manipulated the valence and magnitude parameters in the monetary incentive delay task, providing new evidence on the neural oscillatory features of monetary gain and loss processing in both the anticipatory and consummatory stages. [ABSTRACT FROM AUTHOR]

Grape quality and ripeness play a crucial role in producing exceptional wines with high-value characteristics, which requires an effective assessment of grape ripeness. The primary purpose of this research is to explore the possible application of visible–near-infrared spectral (Vis-NIR) technology for classifying the maturity stages of wine grapes based on quality indicators. The reflection spectra of Cabernet Sauvignon grapes were recorded using a spectrometer in the spectral range of 400 nm to 1029 nm. After measuring the soluble solids content (SSC), total acids (TA), total phenols (TP), and tannins (TN), the grape samples were categorized into five maturity stages using a spectral clustering method. A traditional supervised classification method, a support vector machine (SVM), and two deep learning techniques, namely stacked autoencoders (SAE) and one-dimensional convolutional neural networks (1D-CNN), were employed to construct a discriminant model and investigate the association linking grape maturity stages and the spectral responses. The spectral data went through three commonly used preprocessing methods, and feature wavelengths were extracted using a competitive adaptive reweighting algorithm (CARS). The spectral data model preprocessed via multiplicative scattering correction (MSC) outperformed the other two preprocessing methods. After preprocessing, a comparison was made between the discriminant models established with full and effective spectral data. It was observed that the SAE model, utilizing the feature spectrum, demonstrated superior overall performance. The classification accuracies of the calibration and prediction sets were 100% and 94%, respectively. This study showcased the dependability of combining Vis-NIR spectroscopy with deep learning methods for rapidly and accurately distinguishing the ripeness stage of grapes. It has significant implications for future applications in wine production and the development of optoelectronic instruments tailored to the specific needs of the winemaking industry. [ABSTRACT FROM AUTHOR]

Simple Summary: This review is centered on the potential therapeutic utility of vitamin C (VC) in the context of dynamic cancer evolution. Physiologically, VC has dose-dependent roles as both an antioxidant and a pro-oxidant and has been associated with various health benefits, including potential applications in cancer management. Its intriguing ability to selectively target cancer cells has sparked recent research exploring its potential use against cancer stem cells (CSCs), a crucial player in both tumorigenesis and metastasis. CSCs play a pivotal role in tumor progression, metastasis, and resistance to conventional drug treatments. This review seeks to elucidate the underlying mechanisms by which VC effectively targets and reduces the activity of CSCs, thereby providing important insights and rationale for the improvement of anti-cancer therapeutic strategies. Vitamin C (VC) is an essential nutrient that is vital for maintaining cellular physiology. Interestingly, it functions as either an antioxidant or a pro-oxidant, depending on the concentration used. At high-doses, VC selectively targets various cancer cell types through its pro-oxidant action, while at low-doses, VC enhances anti-tumor immunity by acting as an antioxidant. This versatility makes VC a promising anti-tumor agent for both standalone and combination therapies. Tumors consist of diverse cancer cell subtypes with distinct phenotypic and functional characteristics. In particular, cancer stem cells (CSCs), which are self-renewing multi-potent cells, are responsible for tumor recurrence, metastasis, chemoresistance, and heightened mortality. CSCs are often associated with the epithelial–mesenchymal transition (EMT), which confers increased motility and invasive capabilities that are characteristic of malignant and drug-resistant cells. Thus, eradicating CSC populations is crucial and has led to extensive efforts aimed at identifying medicines that can target them. Recent studies suggest that VC can selectively target CSCs via epigenetic and metabolic pathways in various cancers. Here, we highlight recent progress that has been made in understanding how VC effectively targets CSC evolution, providing a rationale for the use of VC either alone or in combination with other treatments to improve outcomes. [ABSTRACT FROM AUTHOR]

Objective: This study was determined to investigate the impact of intranasal dexmedetomidine (DEX) on postoperative sleep quality in older patients (age over 65) with chronic insomnia during their hospitalization after surgery. Design: A randomized double-blind controlled trial was conducted to compare the effects of intranasal dexmedetomidine spray with a placebo group. Setting and Participants: The study was carried out at Xiangya Hospital, Central South University. 110 participants with chronic insomnia were analyzed. Methods: This trial enrolled older patients who underwent total hip/knee arthroplasty and randomized them to receive intranasal dexmedetomidine (2.0 Mg/kg) or saline daily at around 9 p.m. after surgery until discharge. The primary outcomes were subjective sleep quality assessed with the Leeds Sleep Evaluation Questionnaire (LSEQ). The secondary outcomes included the objective sleep quality measured with the Acti-graph, the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI). The other outcomes included the incidence of delirium, levels of inflammatory factors, visual analog scale (VAS) pain scores, postoperative opioid consumption, and treatment-related adverse events. Results: 174 patients were screened for eligibility, and 110 were recruited and analyzed. The DEX group had significantly higher scores on both the LSEQ-Getting to sleep and LSEQ-Quality of Sleep at each time point compared to the placebo (p < 0.0001), The least squares (LS) mean difference in LSEQ-GTS score at T0 between placebo group and DEX group was 2 (95% CI, -1-6), p = 0.4071 and at T5 was -14 (95% CI, -17 to -10), p < 0.0001; The LS mean difference in the LSEQ-QOS score at T0 was -1 (95% CI, -4 to 1), p = 0.4821 and at T5 was -16 (95% CI, -21 to -10), p < 0.0001. The DEX group exhibited significant improvement in Total Sleep Time (TST), Sleep Onset Latency (SOL), and Sleep Efficiency (SE), at each time point after treatment compared to the placebo group (p < 0.0001). The PSQI and ISI scores in the DEX group were reduced after treatment (p < 0.001). No significant adverse events were reported with the use of dexmedetomidine. Conclusion and Implications: This study demonstrates that intranasal administration of dexmedetomidine improves postoperative sleep quality in older patients with chronic insomnia who undergo surgery, without increasing the incidence of adverse effects. [ABSTRACT FROM AUTHOR]

Triple-negative breast cancer (TNBC) is one of the most heterogeneous and aggressive breast cancer subtypes with a high risk of death on recurrence. To date, TNBC is very difficult to treat due to the lack of an effective targeted therapy. However, recent advances in the molecular characterization of TNBC are encouraging the development of novel drugs and therapeutic combinations for its therapeutic management. In the present review, we will provide an overview of the currently available standard therapies and new emerging therapeutic strategies against TNBC, highlighting the promises that newly developed small molecules, repositioned drugs, and combination therapies have of improving treatment efficacy against these tumors. [ABSTRACT FROM AUTHOR]

Malnutrition is a tangible complication of cirrhosis with portal hypertension with a prevalence of up to 50%. In particular, sarcopenia and myosteatosis, defined as the alteration in muscle quantity and quality, have a negative impact on the main complications of liver disease and are associated with higher mortality in patients with cirrhosis. Recently, alterations in adipose tissue have also been described in cirrhotic patients and they seem to influence the course of liver disease. Several pieces of evidence indicate that a transjugular intrahepatic portosystemic shunt (TIPS), placed for the treatment of refractory portal hypertension, can lead to a modification of body composition consisting in the improvement of the skeletal muscle index, myosteatosis, and an increase in subcutaneous fat. These modifications of the nutritional status, even more pronounced in sarcopenic patients before TIPS, have been associated with an amelioration of cognitive impairment after TIPS as well as with an increase in the survival rate. The aim of this paper is to provide an overview of the effects of TIPS placement on nutritional status in cirrhosis focusing on its pathophysiological mechanisms and its relationship with liver-related outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Peanut allergy is one of the most prevalent food allergies globally. Currently, most research into the mechanisms involved in protein allergy focuses on the protein allergens under investigation, and information on the function of accompanying compounds, such as lipids, is scarce. Thus, this research investigates the role of peanut-associated lipids and invariant natural killer T (iNKT) cells in peanut allergy using a novel, human, in vitro assay. Methods: PBMCs from non-allergic and peanut-allergic subjects were stimulated with the glycolipid, a-Galactosylceramide (a-GalCer), over 14 days for iNKT cell expansion. Autologous dendritic cells (DCs) were stimulated with either peanut oil, the lipid-binding peanut allergen, Ara h 8, or both peanut oil and Ara h 8. The expanded iNKT cells were then immunomagnetically isolated and co-cultured for 5 h with autologous DCs, and cytokine expression was measured by flow cytometry. Results: A 5-fold higher iNKT cell population was observed in peanut-allergic subject peripheral blood compared to non-allergic controls. In all subjects, conventional flow analysis highlighted iNKTs co-cultured with autologous a-GalCer-pulsed DCs displayed increased IL-4 and IFN-y secretion within 5 hours of co-culture. A 10-parameter unsupervised clustering analysis of iNKT phenotype found significantly more CD3+CD8+CD25+IL-4+IL-5+IL-10+IFNg+ cells in non-allergic adults following culture with peanut oil. Conclusion: For the first time, we show iNKT cells are more abundant in peanutallergic adults compared to non-allergic adults, and peanut lipid-exposed iNKT cells resulted in the identification of a subset of CD8+ iNKT cells which was significantly lower in peanut-allergic adults. Thus, this study proposes a role for iNKT cells and peanut allergen-associated lipids in peanut allergy. [ABSTRACT FROM AUTHOR]

Although the relationship between prejudice and predictive coding has attracted more attention recently, many important issues remain to be investigated, such as why prejudice is so persistent and how to accommodate seemingly conflicting studies. In this paper, we offer an integrated framework to explain the functional-computational mechanism of prejudice. We argue that this framework better explains (i) why prejudice is somewhat immune to revision, (ii) how inconsistent processing (e.g. one's moral belief and biased emotional reaction) may occur, (iii) the dispute over the content of 'alief' (unconscious belief), and (iv) conflicting data reported in disinformation studies. Finally, we briefly review the main intervention strategies and offer recommendations. [ABSTRACT FROM AUTHOR]

Ascorbic acid is a redox regulator in many physiological processes. Besides its antioxidant activity, many intriguing functions of ascorbic acid in the expression of immunoregulatory genes have been suggested. Ascorbic acid acts as a co‐factor for the Fe+2‐containing α‐ketoglutarate‐dependent Jumonji‐C domain‐containing histone demethylases (JHDM) and Ten eleven translocation (TET) methylcytosine dioxygenasemediated epigenetic modulation. By influencing JHDM and TET, ascorbic acid facilitates the differentiation of double negative (CD4−CD8−) T cells to double positive (CD4+CD8+) T cells and of T‐helper cells to different effector subsets. Ascorbic acid modulates plasma cell differentiation and promotes early differentiation of hematopoietic stem cells (HSCs) to NK cells. These findings indicate that ascorbic acid plays a significant role in regulating both innate and adaptive immune cells, opening up new research areas in Immunonutrition. Being a water‐soluble vitamin and a safe micro‐nutrient, ascorbic acid can be used as an adjunct therapy for many disorders of the immune system. [ABSTRACT FROM AUTHOR]

Ascorbic acid (AA), or vitamin C, is one of the most important vitamins consumed through the diet due to its critical role in many biological processes. Although the human body cannot synthesize it, AA is essential in maintaining healthy bodily structure, acting as a cofactor of many enzymes involved in collagen synthesis and an efficient immune system. At the same time, AA is used in the cosmetic field for its antioxidant and antipigmentary properties, in the food industry as additive, and in chemical synthesis as reducing agent. AA can be chemically synthesized, produced by the oxidative fermentation of bacteria, or extracted from natural sources. This review addresses the most recent developments in its manufacture, including techniques for extracting vitamin C from plants, fruits, vegetables, algae, and leaves, and focusing on the most commonly used green methods, i.e., ultrasound-assisted extraction, microwave-assisted extraction, pressurized liquid extraction, and supercritical fluid extraction. These methods are based on mild extraction conditions, environmentally friendly solvents, low time, cost, and energy consumption. In contrast, their extraction yields are comparable to or even higher than those of conventional methods. [ABSTRACT FROM AUTHOR]