Fermentation: improvement of pharmacological effects and applications of botanical drugs.

Fermentation is an important concoction technique for botanical drugs. Fermentation transforms and enhances the active ingredients of botanical drugs through specific microbiological processes, ultimately affecting their pharmacological effects. This review explores the use of fermented botanical drugs in areas such as anti-tumor, hypolipidemic, antioxidant, antimicrobial, cosmetology, and intestinal flora regulation. It elucidates the potential pharmacological mechanisms and discusses the benefits of fermentation technology for botanical drugs, including reducing toxic side effects, enhancing drug efficacy, and creating new active ingredients. This article also discussesdelves into the common strains and factors influencing the fermentation process, which are crucial for the successful transformation and enhancement of these drugs. Taken together, this study aimed to provide a reference point for further research and wider applications of botanical drug fermentation technology.

Social and communicative not a prerequisite: Preverbal infants learn an abstract rule only from congruent audiovisual dynamic pitch-height patterns.

Learning in the everyday environment often requires the flexible integration of relevant multisensory information. Previous research has demonstrated preverbal infants' capacity to extract an abstract rule from audiovisual temporal sequences matched in temporal synchrony. Interestingly, this capacity was recently reported to be modulated by crossmodal correspondence beyond spatiotemporal matching (e.g., consistent facial emotional expressions or articulatory mouth movements matched with sound). To investigate whether such modulatory influence applies to non-social and non-communicative stimuli, we conducted a critical test using audiovisual stimuli free of social information: visually upward (and downward) moving objects paired with a congruent tone of ascending or incongruent (descending) pitch. East Asian infants (8-10 months old) from a metropolitan area in Asia demonstrated successful abstract rule learning in the congruent audiovisual condition and demonstrated weaker learning in the incongruent condition. This implies that preverbal infants use crossmodal dynamic pitch-height correspondence to integrate multisensory information before rule extraction. This result confirms that preverbal infants are ready to use non-social non-communicative information in serving cognitive functions such as rule extraction in a multisensory context.

Can the Mismatch Negativity Really Be Elicited by Abstract Linguistic Contrasts?

The mismatch negativity (MMN) is an event-related potential component that reflects pre-attentive change detection in the brain. As an electrophysiological index of processing that responds to differences in incoming consecutive stimuli, the MMN can be elicited through, for example, the presentation of two different categories of sounds in an oddball paradigm where sounds from the "standard" category occur frequently and sounds from the "deviant" category occur rarely. The specificity of what can elicit the MMN is yet to be fully defined. Here we test whether the MMN can be generated by an abstract linguistic contrast with no reliable acoustic cue. Previous studies have shown that the way in which an acoustic cue is used to elicit MMN is influenced by linguistic knowledge, but have not shown that a nonacoustic, abstract linguistic contrast can itself elicit MMN. In this study, we test the strongest interpretation of the claim that the MMN can be generated through a purely linguistic contrast by contrasting tenses in ablauting irregular English verbs (where there is no reliable acoustic cue for tense). We find that this contrast elicits a negativity, as do other linguistic contrasts previously shown to elicit MMN (a contrast between phonologically voiced and phonologically voiceless segments and a purely acoustic contrast between aspirated and unaspirated segments). The findings provide evidence that the MMN is indeed sensitive to purely abstract linguistic categories.

Publication Rates for Oral Manuscript and Poster Presentations from the American College of Foot and Ankle Surgeons: 2015-2019.

The quality of national society conferences is often assessed indirectly by analyzing the journal publication rate of the abstracts presented. The conversion rate of abstracts presented at the annual American College of Foot and Ankle Surgeons conference is currently the highest reported (76.9%) for any foot and ankle society to date. The purpose of the present retrospective study was to re-assess the journal publication rate for abstracts (oral manuscript, poster) accepted for presentation at the annual meeting, this time from 2015 to 2019. All accepted abstracts from this period were compiled in a database. PubMed, Google Scholar, and Scopus searches were performed using abstract titles, and author names. The journal publication rate was 80.7% (92/114) for oral manuscripts, and 23.1% (287/1240) for poster abstracts. The mean time to publication was 18.7 months (0 to 75), and 19.1 months (0 to 88) for oral manuscript and posters, respectively. The most common journal for abstract publication was The Journal of Foot and Ankle Surgery. The American College of Foot and Ankle Surgeons oral manuscript publication rate from 2015 to 2019 (80.7%) exceeded the previous reported rate from 2010 to 2014 (76.9%), and is now the highest reported for any national foot and ankle society to date. Attendees of the oral presentations, and readers of the Journal of Foot and Ankle Surgery may remain confident in the quality, and clinical significance of the research presented.

Cortical-subcortical interactions underlie processing of auditory predictions measured with 7T fMRI.

Perception integrates both sensory inputs and internal models of the environment. In the auditory domain, predictions play a critical role because of the temporal nature of sounds. However, the precise contribution of cortical and subcortical structures in these processes and their interaction remain unclear. It is also unclear whether these brain interactions are specific to abstract rules or if they also underlie the predictive coding of local features. We used high-field 7T functional magnetic resonance imaging to investigate interactions between cortical and subcortical areas during auditory predictive processing. Volunteers listened to tone sequences in an oddball paradigm where the predictability of the deviant was manipulated. Perturbations in periodicity were also introduced to test the specificity of the response. Results indicate that both cortical and subcortical auditory structures encode high-order predictive dynamics, with the effect of predictability being strongest in the auditory cortex. These predictive dynamics were best explained by modeling a top-down information flow, in contrast to unpredicted responses. No error signals were observed to deviations of periodicity, suggesting that these responses are specific to abstract rule violations. Our results support the idea that the high-order predictive dynamics observed in subcortical areas propagate from the auditory cortex.

When the body fosters empathy: The interconnectivity between bodily reactivity, meditation, and embodied abstract concepts.

Empathy is a fundamental social ability that allows humans to infer others' emotions and intentions. Empathy is thought to be rooted in bodily sensations coming from the autonomic nervous system. In parallel, the functionality and perceptions coming from the autonomic nervous system could be improved by practicing activities that involve mind-body interactions, such as meditation. Furthermore, perceptions from the autonomic nervous system are thought to be important in the embodiment of abstract concepts. Consequently, in the current study, we collected data online from 581 participants and explored the associations between levels of empathy and (1) the practice of meditation, music, and sports; (2) the impact of self-report measures on bodily awareness and reactivity; and (3) the embodiment of abstract concepts in interoception. In line with previous studies, Meditators were found to have higher empathy scores than Non-Meditators. In addition, lower levels of autonomic reactivity in organs above the diaphragm were associated with higher empathy. Finally, we also observed that empathy was positively associated with interoceptive components of abstract concepts in those participants with high autonomic reactivity. Taken together, the results suggest that meditation practice and having low autonomic reactivity are associated with empathy, arguably through the downregulation of autonomic responses. Implications for mind-body interaction in meditation and its role in promoting empathy are discussed.

Evaluating the effectiveness of large language models in abstract screening: a comparative analysis.

OBJECTIVE: This study aimed to evaluate the performance of large language models (LLMs) in the task of abstract screening in systematic review and meta-analysis studies, exploring their effectiveness, efficiency, and potential integration into existing human expert-based workflows. METHODS: We developed automation scripts in Python to interact with the APIs of several LLM tools, including ChatGPT v4.0, ChatGPT v3.5, Google PaLM 2, and Meta Llama 2, and latest tools including ChatGPT v4.0 turbo, ChatGPT v3.5 turbo, Google Gemini 1.0 pro, Meta Llama 3, and Claude 3. This study focused on three databases of abstracts and used them as benchmarks to evaluate the performance of these LLM tools in terms of sensitivity, specificity, and overall accuracy. The results of the LLM tools were compared to human-curated inclusion decisions, gold standard for systematic review and meta-analysis studies. RESULTS: Different LLM tools had varying abilities in abstract screening. Chat GPT v4.0 demonstrated remarkable performance, with balanced sensitivity and specificity, and overall accuracy consistently reaching or exceeding 90%, indicating a high potential for LLMs in abstract screening tasks. The study found that LLMs could provide reliable results with minimal human effort and thus serve as a cost-effective and efficient alternative to traditional abstract screening methods. CONCLUSION: While LLM tools are not yet ready to completely replace human experts in abstract screening, they show great promise in revolutionizing the process. They can serve as autonomous AI reviewers, contribute to collaborative workflows with human experts, and integrate with hybrid approaches to develop custom tools for increased efficiency. As technology continues to advance, LLMs are poised to play an increasingly important role in abstract screening, reshaping the workflow of systematic review and meta-analysis studies.

Pain From a Distance: Can Third-Person Self-Talk Mitigate Pain Sensitivity and Pain Related Distress During Experimentally Induced Pain?

Pain is self-immersive, leading to a narrow, egocentric focus on the self in the here and now. Preliminary evidence suggests that distancing oneself from the pain can reduce experimentally induced pain. The primary aim of this experimental study was to examine whether a hitherto unexplored, simple self-distancing strategy - "third-person self-talk" - has an analgesic effect on physiological and psychological pain variables. Participants (N = 292) were randomly assigned to one of four conditions (third-person self-talk, first-person self-talk, and two control conditions). Pain was induced with a cold pressor apparatus and pain tolerance, pain intensity, negative affect and blood pressure were measured for each group. While in pain, participants engaged in strategic self-talk aided by cue-cards. Data were analyzed with univariate planned comparisons. Few significant differences emerged for the third-person self-talk versus the other conditions. It is concluded that third-person self-talk does not seem to have a meaningful effect on physiological and psychological pain variables, although a small effect size could not be ruled out. Practical implications are discussed.The study was registered at ClinicalTrials.gov with the ClinicalTrials.gov ID NCT05511857.

Abstracts of randomized controlled trials in splint therapy for temporomandibular disorders: Reporting quality and spin.

BACKGROUND: Poor reporting quality and spin in randomized controlled trial (RCT) abstracts can lead to misinterpretation and distorted interpretation of results. OBJECTIVES: This methodological study aimed to assess the reporting quality and spin among RCT abstracts on splint therapy for temporomandibular disorders (TMD) and explore the association between spin and potentially related factors. METHODS: The authors searched PubMed for RCTs on splint therapy for TMD. The reporting quality of each abstract was assessed using the original 16-item CONSORT for abstracts checklist. The authors evaluated the presence and characteristics of spin only in abstracts with nonsignificant primary outcomes according to pre-determined spin strategies. Logistic regression analyses were performed to identify factors associated with the presence of spin. RESULTS: A total of 148 abstracts were included in the reporting quality evaluation. The mean overall CONSORT score (OCS) was 5.86 (score range: 0-16). Only interventions, objectives and conclusions were adequately reported. Of the 61 RCT abstracts included for spin analysis, spin was identified in 38 abstracts (62.3%), among which 32 abstracts (52.3%) had spin in the Results section and 21 (34.4%) had spin in the Conclusions section. A significantly lower presence of spin was found in studies with exact p-value reporting (OR: 0.170; 95% CI: 0.032-0.887; p = .036) and a two-arm comparison design (OR: 11.777; 95% CI: 2.171-63.877; p = .004). CONCLUSIONS: The reporting quality of RCT abstracts on splint therapy for TMD is suboptimal and the prevalence of spin is high. More awareness and joint efforts are needed to improve reporting quality and minimize spin.

Adherence to PRISMA-A and reporting was suboptimal in meta-analysis abstracts on drug efficacy for tumors: a literature survey.

OBJECTIVES: To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. STUDY DESIGN AND SETTING: A total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score. RESULTS: The mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001). CONCLUSION: Adherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. PLAIN LANGUAGE SUMMARY: Meta-analysis is the statistical method used to compare and synthesize the results of studies on the same result research problem. It is integral in guiding evidence-based decision making in clinical practice. However, crucial information is frequently inadequately documented in meta-analysis abstracts, thereby reducing their significance for readers. And there has been a lack of published research evaluating the reporting of meta-analysis abstracts in the field of drug efficacy for tumors. The objectives of our study were (1) to assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A); and (2) to identify factors that might influence adherence to PRISMA-A. Our study reveals that meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A, although there is still large room for improvement. Compared to unstructured abstracts, structured abstracts received the higher adherence rate (AR) for each item in PRISMA-A. There was a positive correlation between the word counts of abstract and the total PRISMA-A scores. Our study suggests that more efforts are still needed to improve the adherence to PRISMA-A in meta-analysis abstracts on drug efficacy for tumors. The journal editors should endorse PRISMA-A to authors, appropriately relax the word limit for abstracts, and provide authors with the writing template for structured abstracts.

Conscious Causality, Observer-Observed Simultaneity, and the Problem of Time for Integrated Information Theory.

Without proven causal power, consciousness cannot be integrated with physics except as an epiphenomenon, hence the term 'hard problem'. Integrated Information Theory (IIT) side-steps the issue by stating that subjective experience must be identical to informational physical structures whose cause-and-effect power is greater than the sum of their parts. But the focus on spatially oriented structures rather than events in time introduces a deep conceptual flaw throughout its entire structure, including the measure of integrated information, known as Φ (phi). However, the problem can be corrected by incorporating the temporal feature of consciousness responsible for the hard problem, which can ultimately resolve it, namely, that experiencer and experienced are not separated in time but exist simultaneously. Simultaneous causation is not possible in physics, hence the hard problem, and yet it can be proven deductively that consciousness does have causal power because of this phenomenological simultaneity. Experiencing presence makes some facts logically possible that would otherwise be illogical. Bypassing the hard problem has caused much of the criticism that IIT has attracted, but by returning to its roots in complexity theory, it can repurpose its model to measure causal connections that are temporally rather than spatially related.

Current insights on social media as a tool for the dissemination of research and education in surgery: a narrative review.

The purpose of our narrative review is to summarize the utilization of social media (SoMe) platforms for research communication within the field of surgery. We searched the PubMed database for articles in the last decade that discuss the utilization of SoMe in surgery and then categorized the diverse purposes of SoMe. SoMe proved to be a powerful tool for disseminating articles. Employing strategic methods like visual abstracts enhances article citation rates, the impact factor, h-index, and Altmetric score (an emerging alternative metric that comprehensively and instantly quantifies the social impact of scientific papers). SoMe also proved valuable for surgical education, with online videos shared widely for surgical training. However, it is essential to acknowledge the associated risk of inconsistency in quality. Moreover, SoMe facilitates discussion on specific topics through hashtags or closed groups and is instrumental in recruiting surgeons, with over half of general surgery residency programs in the US efficiently leveraging these platforms to attract the attention of potential candidates. Thus, there is a wealth of evidence supporting the effective use of SoMe for surgeons. In the contemporary era where SoMe is widely utilized, surgeons should be well-versed in this evidence.

Sensory intelligence for extraction of abstract auditory rules from a speech sound stream in children with cochlear implants.

OBJECTIVE: Sensory intelligence in the brain helps listeners automatically extract abstract auditory rules formed by invariant acoustic features from complex speech sound streams, presumably serving as the neural basis for speech comprehension. However, whether this intelligence is deficient in children with cochlear implants (CIs) remains unclear. METHODS: Mandarin Chinese monosyllables shared a flat lexical tone contour to form an abstract auditory rule but differed in other acoustic features to construct a complex speech sound stream. The abstract rule was occasionally violated by monosyllables with a rising or falling lexical tone. RESULTS: In normal hearing (NH) children, the abstract auditory rule could be extracted, as revealed by a mismatch negativity (MMN) and a late discriminative negativity (LDN). However, the MMN and LDN were only evoked in CI children with good hearing and speech performance. NH children with a higher speech perception or spatial hearing score had a greater MMN. The LDN was attenuated with increasing age in NH children. CONCLUSIONS: The sensory intelligence for extraction of auditory abstract rules, associated with speech perception, is deficient in CI children. This intelligence may gradually develop during childhood and adolescence. SIGNIFICANCE: Deficient sensory intelligence in CI children may aid in understanding poor speech comprehension in complex environments.

NewAbstractConcepts: A Database of 42 Normed Abstract Concepts and Exemplars.

Recently, researchers have expressed challenges in conducting word-learning experiments in adult populations due to limited availability of normed stimulus materials. This constraint often prompts the use of low-frequency or low-prevalence words, introducing the potential influence of prior knowledge or direct translation to familiar words. In response, we developed novel abstract concepts devoid of word referents, providing better control over prior knowledge. These new concepts describe situations encountered in various settings for which there is no existing word in English. The resulting database comprises 42 normed New Abstract Concepts, offering unique materials structured through scenarios, each containing similar and dissimilar exemplars. These materials underwent meticulous norming for relatability and similarity levels across a series of studies. The success of our approach was demonstrated in a word-learning experiment examining the effects of similarity and diversity. The database serves as a valuable resource for selecting stimuli in experiments exploring the learning of abstract semantic concepts, particularly investigating the role of similarity versus diversity in concept learning. The database is available on OSF (https://osf.io/svm2p/).

Algorithmic crime prevention. From abstract police to precision policing.

The growing digitisation in our society also affects policing, which tends to make use of increasingly refined algorithmic tools based on abstract technologies. But the abstraction of technology, we argue, does not necessarily entail an increase in abstraction of police work. This paper contrasts the 'abstract police' debate with an analysis of police practices that use digital technologies to achieve greater precision. While the notion of abstract police assumes that computerisation distances police officers from their community, our empirical investigation of a geo-analysis unit in a German Land Office of Criminal Investigation shows that the adoption of abstract procedures does not by itself imply a detachment from local reference and community contact. What we call contextual reference can be productively combined with the impersonality and anonymity of algorithmic procedures, leading also to more effective and focused forms of collaboration with local entities. On the basis of our empirical results, we suggest a more nuanced understanding of the digitalisation of police work. Rather than leading to a progressive estrangement from the community of reference, the use of digital techniques can enable experimentation with innovative forms of 'precision policing', particularly in the field of crime prevention.

A question-answering framework for automated abstract screening using large language models.

OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging the zero-shot capabilities of large language models (LLMs). METHODS: We employ LLM to prioritize candidate studies by aligning abstracts with the selection criteria outlined in an SR protocol. Abstract screening was transformed into a novel question-answering (QA) framework, treating each selection criterion as a question addressed by LLM. The framework involves breaking down the selection criteria into multiple questions, properly prompting LLM to answer each question, scoring and re-ranking each answer, and combining the responses to make nuanced inclusion or exclusion decisions. RESULTS AND DISCUSSION: Large-scale validation was performed on the benchmark of CLEF eHealth 2019 Task 2: Technology-Assisted Reviews in Empirical Medicine. Focusing on GPT-3.5 as a case study, the proposed QA framework consistently exhibited a clear advantage over traditional information retrieval approaches and bespoke BERT-family models that were fine-tuned for prioritizing candidate studies (ie, from the BERT to PubMedBERT) across 31 datasets of 4 categories of SRs, underscoring their high potential in facilitating abstract screening. The experiments also showcased the viability of using selection criteria as a query for reference prioritization. The experiments also showcased the viability of the framework using different LLMs. CONCLUSION: Investigation justified the indispensable value of leveraging selection criteria to improve the performance of automated abstract screening. LLMs demonstrated proficiency in prioritizing candidate studies for abstract screening using the proposed QA framework. Significant performance improvements were obtained by re-ranking answers using the semantic alignment between abstracts and selection criteria. This further highlighted the pertinence of utilizing selection criteria to enhance abstract screening.

Manipulated overlapping reactivation of multiple memories promotes explicit gist abstraction.

Sleep is considered to promote gist abstraction on the basis of spontaneous memory reactivation. As speculated in the theory of 'information overlap to abstract (iOtA)', 'overlap' between reactivated memories, beyond reactivation, is crucial to gist abstraction. Yet so far, empirical research has not tested this theory by manipulating the factor of 'overlap'. In the current study, 'overlap' itself was manipulated by targeted memory reactivation (TMR), through simultaneously reactivating multiple memories that either contain or do not contain spatially overlapped gist information, to investigate the effect of overlapping reactivation on gist abstraction. This study had a factorial design of 2 factors with 2 levels respectively (spatial overlap/no spatial overlap, TMR/no-TMR). Accordingly, 82 healthy college students (aged 19 âˆ¼ 25, 57 females) were randomized into four groups. After learning 16 pictures, paired with 4 auditory cues (4 pictures - 1 cue) according to the grouping, participants were given a 90-minute nap opportunity. Then TMR cueing was conducted during N2 and slow wave sleep of the nap. Performance in memory task was used to measure gist abstraction. The results showed a significant main effect of TMR on both implicit and explicit gist abstraction, and a marginally significant interaction effect on explicit gist abstraction. Further analyses showed that explicit gist abstraction in the spatial overlap & TMR group was significantly better than in the control group. Moreover, explicit gist abstraction was positively correlated with spindle density. The current study thus indicates that TMR facilitates gist abstraction, and explicit gist abstraction may benefit more from overlapping reactivation.

Doctoral theses at the medical faculty of Tunis from 2015 to 2017: Scientific publication rates and associated factors.

INTRODUCTION: Medical doctoral thesis publication is a way to ensure knowledge dissemination and to increase the scientific research visibility. AIM: To determine thesis-related publication's rate at the Faculty of Medicine of Tunis (FMT), and identify associated factors. METHODS: Cross-sectional retrospective study including medical theses registered at the FMT over the study period (2015-2017). All publications related to the defended thesis were collated by scanning Scopus and Google scholar databases, up to April 2022. Binary logistic regression was performed to assess associated factors to publication. Adjusted Odds Ratios (AOR) were presented with 95% confidence interval. RESULTS: Out of 878 defended theses, 11.8% (n=104) were published. Out of 130 publications in total, 90 (69.2%) interested Scopus-indexed journals with a mean Scimago Journal Rank (SJR) of 0.70. The publication was in English in 73.1% of cases. The median time between the thesis defense and the first scientific publication was 15 months. In multivariable analysis, associated factors to "at least one thesis-related publication" were the resident status of the candidate (AOR=2.35 [1.2-4.7]) and the grade assistant professor of the thesis supervisor (AOR=2.48 [1.1-5.6]). CONCLUSION: Compared to the number of defended theses, the thesis-related publication's rate at the FMT is relatively low. Thus, enhanced support for doctoral students to optimize their engagement in research and to consequently promote scientific publication is highly recommended.