Action Outcomes Research Articles

Herbal Nanoformulations for Diabetes: Mechanisms, Formulations, and Clinical Impact.

Diabetes mellitus remains a global health challenge, demanding innovative therapeutic strategies. Herbal remedies have garnered attention for their potential in diabetes management, and recent advancements in nanotechnology have enabled the development of herbal nanoformulations with enhanced efficacy and bioavailability. This review aimed to comprehensively analyze the mechanisms, formulations, and clinical impact of herbal nanoformulations in managing diabetes mellitus. A systematic literature search was conducted to identify relevant studies exploring the mechanisms of action, various formulations, and clinical outcomes of herbal nanoformulations in diabetes management. Herbal nanoformulations exert their anti-diabetic effects through multiple mechanisms, including enhanced bioavailability, improved tissue targeting, and potentiation of insulin signaling pathways. Various herbal ingredients, such as bitter melon, fenugreek, and Gymnema sylvestre, have been encapsulated into nanocarriers, like liposomes, polymeric nanoparticles, and solid lipid nanoparticles, to enhance their therapeutic potential. Clinical studies have demonstrated promising results, showing improvements in glycemic control, lipid profile, and antioxidant status with minimal adverse effects. Herbal nanoformulations represent a promising avenue for the management of diabetes mellitus, offering improved therapeutic outcomes compared to conventional herbal preparations. Further research is warranted to optimize formulation strategies, elucidate long-term safety profiles, and explore the potential synergistic effects of herbal nanoformulations in combination therapies for diabetes management.

Machine learning identification of microhabitat features associated with occupancy of artificial nestboxes by hazel dormice Muscardinus avellanarius in a UK woodland site

Hazel dormice Muscardinus avellanarius have severely declined since 2000 leading to increased legislative protection in the UK and Europe. Artificial nestboxes are widely used for its conservation and monitoring. Previous research has focused on how to identify suitable areas for nestboxes, but where to place individual boxes to promote occupancy is less well understood. Here, we demonstrate the use of machine learning Random Forest regression to predict nestbox occupancy from a wide range of microhabitat variables using a UK woodland as a case study. Random forest models are powerful predictive tools that allow simultaneous testing of many predictors with relatively few observations.Field data included observed nestbox occupancy (2017–2021) and measurements of 76 microhabitat variables collected in the summer of 2021 from 45 occupied and unused nestboxes located in a deciduous woodland in Berkshire, UK. We applied Random Forest regression to identify important variables and predict nestbox occupancy demonstrating robust approaches to tune model hyperparameters and evaluate importance metrics.In our study area, nestboxes were more likely to be occupied in sites with more hazel Corylus avellana, greater overall tree abundance but not fully closed canopies (optimal 80–85%), more honeysuckle Lolium periclymenum and hawthorn Crataegus monogyna, and when located further from footpaths and woodland margins. Occupancy over the study period was well predicted using microhabitat variables (13.3% OOB error) but future occupancy was more uncertain (33.3% error for 2021–2023 records).Modelling approaches that allow consideration of numerous variables from few locations or observations can be help identify relevant features and predict desirable outcomes of conservation actions. Here we demonstrate this approach identifying microhabitat variables that influence artificial nestbox occupancy by hazel dormice in a UK woodland. Findings offer some recommendations for local management that could promote nestbox occupancy and improve monitoring and conservation efforts.

A 5-step root cause analysis model for test overutilization: A study on its application to plasma transferrin testing.

This study aimed to develop a root cause analysis (RCA) model for test overutilization, applying it to transferrin overordering at our institution. A comprehensive review was undertaken to establish a systematic RCA model. Upon implementation, the questionnaire identifying the root causes of transferrin overordering with infographic intervention was distributed to clinicians and nurses. The RCA model comprises 5 steps: (1) problem identification, (2) causal factor determination, (3) data collection, (4) significant factor identification, and (5) corrective action development and outcome measurement. The major causes of transferrin overutilization were confusion between transferrin and transferrin saturation, as well as unfamiliarity with the laboratory handbook. An infographic reduced postintervention transferrin ordering among clinicians (84.9%, P < .001) and nurses (46.8%, P < .001). This study presents a 5-step RCA model that offers a customized method to identify the causes of test overutilization. Applying this model to transferrin at our institution revealed 22 leading root causes. Laboratories are encouraged to adopt this RCA model as it can contribute to optimized patient care and more efficient resource allocation.

Systematic bias in representation of reaction time distribution.

A correct perception of one's own abilities is essential for making appropriate decisions. A well-known bias in probability perception is that rare events are overestimated. Here, we examined whether such a bias also exists for action outcomes using a simple reaction task. In Experiment 1, after completing a set of 30 trials of the simple reaction task, participants were required to judge the probability that they would be able to respond before a given reference time when performing the task next. We assessed the difference between the actual reaction times and the probability judgement and found that the represented probability distribution was more widely distributed than the actual one, suggesting that low-probability events were overestimated and high-probability events were underestimated. Experiment 2 confirmed the presence of such a bias in the representation of both one's own and another's reaction times. In addition, Experiment 3 showed the presence of such a bias regardless of the difference between the representation of another's reaction times and the mere numerical representation. Furthermore, Experiment 4 found the presence of such a bias even when the information regarding actual reaction times was visually shown before the representation. The present results reveal the existence of a highly robust bias in the representation of motor performance, which reflects the ubiquitous bias in probability perception and is difficult to eliminate.

Language-based game theory in the age of artificial intelligence.

Understanding human behaviour in decision problems and strategic interactions has wide-ranging applications in economics, psychology and artificial intelligence. Game theory offers a robust foundation for this understanding, based on the idea that individuals aim to maximize a utility function. However, the exact factors influencing strategy choices remain elusive. While traditional models try to explain human behaviour as a function of the outcomes of available actions, recent experimental research reveals that linguistic content significantly impacts decision-making, thus prompting a paradigm shift from outcome-based to language-based utility functions. This shift is more urgent than ever, given the advancement of generative AI, which has the potential to support humans in making critical decisions through language-based interactions. We propose sentiment analysis as a fundamental tool for this shift and take an initial step by analysing 61 experimental instructions from the dictator game, an economic game capturing the balance between self-interest and the interest of others, which is at the core of many social interactions. Our meta-analysis shows that sentiment analysis can explain human behaviour beyond economic outcomes. We discuss future research directions. We hope this work sets the stage for a novel game-theoretical approach that emphasizes the importance of language in human decisions.

The Role of Triglycerides in Atherosclerosis: Recent Pathophysiologic Insights and Therapeutic Implications.

Triglycerides have long been recognized as a cardiovascular disease risk factor. However, their precise role in atherosclerosis and potential utility as a therapeutic target remains debated topics. This review aims to shed light on these aspects by exploring the complex relationship between triglycerides and atherosclerosis from pathophysiological and pharmacological perspectives. Triglycerides, primarily carried by chylomicrons and very low-density lipoproteins, play an essential role in energy storage and utilization. Dysregulation of triglyceride homeostasis and triglyceride- rich lipoproteins metabolism often leads to hypertriglyceridemia and subsequently increases atherosclerosis risk. Triglyceride-rich lipoproteins remnants interact with arterial wall endothelial cells, get retained in the subendothelial space, and elicit inflammatory responses, thereby accelerating atherogenesis. Despite the clear association between high triglyceride levels and increased cardiovascular disease risk, intervention trials targeting triglyceride reduction have produced mixed results. We discuss a range of triglyceride-lowering agents, from fibrates to omega-3 fatty acids, with a focus on their mechanism of action, efficacy, and major clinical trial outcomes. Notably, the role of newer agents, such as angiopoietin-like protein 3 and apolipoprotein C3 inhibitors, is also explored. We highlight the challenges and controversies, including the ongoing debate on the causal role of triglyceride in atherosclerosis and the discordant outcomes of recent clinical trials. The potential confounding effects of associated risk factors, such as elevated apolipoprotein B, insulin resistance, and metabolic syndrome, are considered. In conclusion, this review underscores the importance of a nuanced approach to understanding the role of triglycerides in atherosclerosis and their potential as a therapeutic target. Further research is needed to unravel the complex interplay between triglycerides, triglyceride-rich lipoproteins, and associated factors in atherosclerosis pathogenesis and refine triglyceride-targeted therapeutic strategies.

The missing link: The significance of institutional interdependencies and dynamics of action for transnational labour regulation in multinational companies

AbstractIn recent decades, both academic research and industrial relations practice have been increasingly concerned with whether, and to what extent, transnational forms of labour regulation might constitute a countervailing power to globally operating companies. And although numerous studies have analysed the various instruments and institutions of transnational labour regulation – such as Global Framework Agreements, trade union networks and European or World Works Councils – as yet there has been little in the way of exploration of their dynamics or interconnections. Against this backdrop and based on a comparison of three case studies of multinational companies, we focus on what we consider to be the ‘missing link’ between the dynamics of social action and the interdependencies of institutions in order to explain how transnational institution building can contribute to the development of transnational labour regulation. Specifically, we investigate how different pathways to transnational labour regulation have been the outcomes of actions taken by actors in a multinational corporation and how, in turn, these developments shaped the dynamics of subsequent action. The study underlines that those pathways can only be properly understood when seen in terms of social actors, their power resources and their willingness and capacities to deploy them.

The Most Effective Drugs in the Treatment of Myocarditis Disease

&#x0D; Myocarditis, characterized by inflammation of the heart muscle, presents a complex and challenging clinical scenario. This review explores the landscape of pharmacological interventions in the treatment of myocarditis, aiming to identify the most effective drugs in managing this inflammatory cardiac condition. A comprehensive analysis of current literature encompasses clinical trials, observational studies, and experimental models to evaluate the efficacy of various drug classes. From immunosuppressive agents to anti-inflammatory medications, the review delineates the mechanisms of action, safety profiles, and clinical outcomes associated with different drug interventions. The synthesis of evidence provides valuable insights into the pharmacotherapeutic strategies that demonstrate the highest efficacy in mitigating inflammation, preserving cardiac function, and improving patient outcomes in myocarditis

You can’t con a conman: the perception of deceptive actions performed by the self and others

ABSTRACT Understanding the actions of others is important for predicting whether their intentions are honest or deceitful. Common-coding theory [Prinz, W. (1997). Perception and action planning. European Journal of Cognitive Psychology, 9(2), 129-154. https://doi.org/10.1080/713752551] suggests that the capability to produce a deceptive action could influence the ability to perceive the same action (and vice versa), but can an actor easily fool themselves? The aim of this study was to investigate whether individuals are better able to anticipate the outcome of their own deceptive actions than when others anticipate those same actions. Eighteen skilled rugby players were filmed performing deceptive (side-step) and non-deceptive actions. Eight equally skilled rugby players anticipated the outcomes of the filmed actions (i.e., viewing deceptive actions generated by others) and, six-months after filming, the original group of eighteen rugby players anticipated the action outcome of their own deceptive actions (i.e., viewing self-generated deceptive actions). Results revealed that players were no better at anticipating the outcomes of their own actions than others were. Instead, the response behaviour of the individuals viewing their own actions was indistinguishable from that of others viewing the same actions. In contrast with what might be expected based on common-coding theory, these findings suggest that the typical advantage of self-observation might be negated when the observer has acquired considerable amounts of visual experience in that observation task.

Back to the Future: What Healthcare Organizations Need to Thrive in the Face of Persistent Environmental Uncertainty.

While uncertainty has always been a feature of the healthcare environment, its pace and scope are rapidly increasing, fueled by myriad factors such as technological advancements, the threat and frequency of disruptive events, global economic developments, and increasing complexity. Contemporary healthcare organizations thus persistently face what is known as "deep uncertainty," which obscures their ability to predict outcomes of strategic action and decision-making, presenting them with novel challenges and threatening their survival. Persistent, deep uncertainty challenges us to revisit and reconsider how we think about uncertainty and the strategic actions needed by organizations to thrive under these circumstances. Simply put, how can healthcare organizations thrive in the face of deeply uncertain environments? We argue that healthcare organizations need to employ both adaptive and creative strategic approaches in order to effectively meet patients' needs and capture value in the long-term future. The chapter concludes by offering two ways organizations can build the dynamic capabilities needed to employ such approaches.

Contextual Priors Shape Action Understanding before and beyond the Unfolding of Movement Kinematics.

Previous studies have shown that contextual information may aid in guessing the intention underlying others' actions in conditions of perceptual ambiguity. Here, we aimed to evaluate the temporal deployment of contextual influence on action prediction with increasing availability of kinematic information during the observation of ongoing actions. We used action videos depicting an actor grasping an object placed on a container to perform individual or interpersonal actions featuring different kinematic profiles. Crucially, the container could be of different colors. First, in a familiarization phase, the probability of co-occurrence between each action kinematics and color cues was implicitly manipulated to 80% and 20%, thus generating contextual priors. Then, in a testing phase, participants were asked to predict action outcome when the same action videos were occluded at five different timeframes of the entire movement, ranging from when the actor was still to when the grasp of the object was fully accomplished. In this phase, all possible action-contextual cues' associations were equally presented. The results showed that for all occlusion intervals, action prediction was more facilitated when action kinematics deployed in high- than low-probability contextual scenarios. Importantly, contextual priors shaped action prediction even in the latest occlusion intervals, where the kinematic cues clearly unveiled an action outcome that was previously associated with low-probability scenarios. These residual contextual effects were stronger in individuals with higher subclinical autistic traits. Our findings highlight the relative contribution of kinematic and contextual information to action understanding and provide evidence in favor of their continuous integration during action observation.

Facilitation of sensorimotor temporal recalibration mechanisms by cerebellar tDCS in patients with schizophrenia spectrum disorders and healthy individuals

Core symptoms in patients with schizophrenia spectrum disorders (SSD), like hallucinations or ego-disturbances, have been associated with a failure of internal forward models to predict the sensory outcomes of self-generated actions. Importantly, forward model predictions must also be able to flexibly recalibrate to changing environmental conditions, for example to account for additional delays between action and outcome. We investigated whether transcranial direct current stimulation (tDCS) can be used to improve these sensorimotor temporal recalibration mechanisms in patients and healthy individuals. While receiving tDCS on the cerebellum, temporo-parietal junction, supplementary motor area, or sham stimulation, patients with SSD and healthy control participants were repeatedly exposed to delays between actively or passively elicited button presses and auditory outcomes. Effects of this procedure on temporal perception were assessed with a delay detection task. Similar recalibration outcomes and faciliatory effects of cerebellar tDCS on recalibration were observed in SSD and healthy individuals. Our findings indicate that sensorimotor recalibration mechanisms may be preserved in SSD and highlight the importance of the cerebellum in both patients and healthy individuals for this process. They further suggest that cerebellar tDCS could be a promising tool for addressing deficits in action-outcome monitoring and related adaptive sensorimotor processes in SSD.

Neural correlates of an illusionary sense of agency caused by virtual reality.

Sense of agency (SoA) is the sensation that self-actions lead to ensuing perceptual consequences. The prospective mechanism emphasizes that SoA arises from motor prediction and its comparison with actual action outcomes, while the reconstructive mechanism stresses that SoA emerges from retrospective causal processing about the action outcomes. Consistent with the prospective mechanism, motor planning regions were identified by neuroimaging studies using the temporal binding (TB) effect, a behavioral measure often linked to implicit SoA. Yet, TB also occurs during passive observation of another's action, lending support to the reconstructive mechanism, but its neural correlates remain unexplored. Here, we employed virtual reality (VR) to modulate such observation-based SoA and examined it with functional magnetic resonance imaging (fMRI). After manipulating an avatar hand in VR, participants passively observed an avatar's "action" and showed a significant increase in TB. The binding effect was associated with the right angular gyrus and inferior parietal lobule, which are critical nodes for inferential and agency processing. These results suggest that the experience of controlling an avatar may potentiate inferential processing within the right inferior parietal cortex and give rise to the illusionary SoA without voluntary action.

Peatland restoration in Norway – evaluation of ongoing monitoring and identification of plant indicators of restoration success

Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the restoration effort has been on peatland restoration, with about 140 mires restored so far. There are three main restoration goals stated in the action plan: 1) limit greenhouse gas (GHG) emission, 2) climate adaptation and 3) improved ecological condition. Quantifying the outcome of the restoration actions is necessary to evaluate whether the goals of the action plan are met. A vegetation monitoring protocol was suggested before restoration started and has been implemented at five restoration sites. As the peatland restoration effort in Norway is increasing, it is timely to evaluate if the data currently collected can measure peatland restoration outcome. We evaluate the monitoring protocol based on statistical analyses of the data collected at two sites, describe how indicator species can be identified using generalized composition data used as the basis for classifying habitats in Norway (EcoSyst framework), and suggest the way forward for peatland restoration monitoring in Norway. Data collected according to the monitoring protocol can document changes in species composition at restoration sites, but has limitations when the ecological complexity at the sites increases and reference sites are unavailable. We argue that adjusting the monitoring protocol will: 1) facilitate alignment with existing peatland research; 2) connect better with monitoring programs where data is collected applying EcoSyst framework principles; and 3) enable upscaling to cover the wide variation emerging in peatland restoration.

How aging shapes our sense of agency

The sense of agency refers to the feeling of controlling one’s actions and their effects on the external environment. Here, we tested how the physiological process of aging affects the agency experience by taking advantage of a validated ecological experimental paradigm and exploring the different dimensions of agency. We tested 60 young and older adults during active and passive movements, causing, after a variable time delay, an external sensorial event. We collected overt agency judgments (i.e., explicit agency dimension), and we measured the perceived compression of the time interval between the active/passive movements and outcomes (to quantify the intentional binding phenomenon, an implicit index of agency). Our results indicate that the sense of agency significantly changes across the adult life span, with older participants exhibiting a reduced sense of agency, both at the explicit and implicit level. Crucially, the temporal dimension of the action outcome did not affect their agency experience. We suggest that elderly adults are more reliant on internal predictions, making them less sensitive to cognitive biases and external manipulations. We discuss these results in the domain of neurocognitive models of motor control, with reference to how aging affects the weighting process of predictive and sensory signals for efficient sensorimotor integration.

Effectiveness of undergraduate medical students training on LGBTQIA + people health: a systematic review and meta-analysis

BackgroundAdequacy of learning models and their ability to engage students and match session’s objectives are critical factors in achieving the desired outcome. In this systematic review and meta-analysis, we assess the methodological approach, content, and effectiveness of training initiatives addressing medical students’ knowledge, attitudes, confidence and discrimination perception towards LGBTQIA + people.MethodPubMed, Web of Science, Medline and Scopus were searched to identify published studies, from 2013 to 2023, on effectiveness of training initiatives addressing medical students’ knowledge, attitudes, confidence and discrimination perception towards LGBTQIA + people. The risk of bias of the selected studies was assessed by the Medical Education Research Study Quality Instrument. Overall effect sizes were calculated using a Mantel–Haenszel method, fixed effect meta-analyses.Results A total of 22 studies were included, representing 2,164 medical students. The interventions were highly diverse and included seminars, lectures, videos, real-case discussions, roleplay, and group discussions with people from the LGBTQIA + community. After the interventions, there was a significant improvement in self-confidence and comfort interacting with patients and in the understanding of the unique and specific health concerns experienced by LGBTQIA + patients.ConclusionOur findings indicated that the outcomes of interventions training actions for medical students that promote knowledge and equity regarding LGBTQIA + people, regardless of their scope, methodology and duration, result in a considerable increase in students’ self-confidence and comfort interacting with LGBTQIA + patients, highlight the need for more actions and programs in this area promoting a more inclusive society and greater equity.

Influence of sport expertise in facilitating and inhibiting the recognition of the opponent's intentions in sailing.

Starting from the proposed role of the mirror neuron system in the recognition of the intention underlying the actions of others, an experimental paradigm was implemented to test the role of sailing motor expertise in predicting the outcome of a competitor's action. It was hypothesized that subjects with experience in sailing would correctly interpret the maneuver performed due to the activation of domain specific motor representations of the same movements and that subjects who practiced a sport different from sailing would perform worse because of the activation of irrelevant motor patterns. For doing so, a series of video clips, in which a professional sailor performed a tack or a feint, have been manipulated so that the video clips would stop at the moment of the dunkin, namely, when the boat acquires speed to tack or continue straight ahead. The task consisted in predicting whether the action following the dunkin was an actual tack or a feint. The performance of 87 subjects, divided into three subgroups (sailors, tennis players, sedentary), was evaluated in terms of accuracy in identifying the sailor's intentions and correlated to age, gender, manual dominance, education, job, hours spent weekly playing videogames, and experience in playing sports. Results showed that the percentage of correct identifications of the intention to do a tack or feint was the highest in the group of sailors and the lowest in tennis players. An inverse relation between tennis experience and ability in recognizing the sailor's intention was found in the group of tennis players. Gender, age, manual dominance, education, job, and experience with videogames were not found to be correlated with performance. Findings support the possible implication of the mirror neuron system in maneuver detection in sailing and may be a starting point for the development of psychological training in this sport.

Interest convergence in the Land of the Cosmic Race: Mexican anti-racism and the motivation question

ABSTRACT Recent contributions to the academic literature describe Mexican racism as structural: an unintended blameless outcome of the combined actions of many individuals and institutions. This conceptualization appears to hamstring individual motivation for collective action: who is responsible for redressing the injustice and why? In this paper, I appeal to interest convergence – a key tenet of Critical Race Theory – to argue that Mexican anti-racism could gain from strategically identifying and communicating “shared predicaments” with the beneficiaries of racial injustice. Employing Grounded Normative Theory as a methodological approach and examining empirical research through [Jackson, Taharee. 2011. “Which Interests Are Served by the Principle of Interest Convergence? Whiteness, Collective Trauma, and the Case for Anti-racism.” Race Ethnicity and Education 14 (4): 435–459] “disaggregation” of interest, I find hints of moral, psychological – even emotional and material – interest convergence between beneficiaries and victims of racial injustice in Mexico. I conclude that the contextual and erratic nature of Mexican racism could be strategically harnessed to produce social reform and advance racial equality.

Collaborative Governance in Countering Drug Control in Makassar City

This study seeks to determine how collaborative governance has been implemented in Makassar City’s drug prevention efforts. This study employs a qualitative, descriptive methodology. Observation, interviews, and documentation are methods for collecting data. In Yin’s case study pattern matching model, the data analysis technique is used. The results demonstrated leadership facilitation, with each collaborating actor demonstrating a dependable capacity for activity implementation and problem-solving. Each organization has a decision-maker and policy-maker in charge. In institutional institutions, the division of roles and responsibilities is specified in the Cooperation Agreement. In the process of collaboration, formal and informal communication channels are established to foster mutual trust, and each party’s Cooperation Agreement guides the implementation of collaboration. The true outcome of collaborative action is the achievement of the program goals of each government agency, the community, and the private sector, as well as reducing drug use in Makassar City. The outcomes indicated that Anshel and Gash’s Collaborative Government model was suitable for the drug prevention program in Makassar City. In institutional institutions, Anshel and Gash’s CG mode necessitates the creation of a more detailed Standard Operating Procedure (SOP) because the rules in collaboration only refer to the Cooperation Agreement.&#x0D; Keywords: collaborative governance, drug control, collaboration actors

Employee Experiences with Workplace Discrimination Law

Workplace discrimination remains a pervasive issue with significant impacts on employee well-being and organizational effectiveness. This study aims to explore the nuances of employee experiences with workplace discrimination law, focusing on how individuals perceive, react to, and are affected by discriminatory practices in their workplaces. A qualitative research design was employed, using semi-structured interviews to collect data from 30 participants who had experienced or observed workplace discrimination. The study targeted theoretical saturation to ensure comprehensive coverage of relevant experiences. Data were analyzed using NVivo software, which facilitated thematic analysis and helped identify key themes and categories within the interview transcripts. Three main themes emerged from the data: Perceptions of Discrimination, Experiences with Legal Processes, and Impact on Workplace Culture. Each theme included multiple categories, such as Legal Knowledge, Personal Impact, Reporting Procedures, Outcomes of Legal Action, Changes in Workplace Dynamics, and Long-term Effects. These categories encompassed various concepts like understanding of rights, emotional distress, confidentiality issues, settlement outcomes, changes in team cohesion, and shifts in organizational policies. The findings reveal the complexity of workplace discrimination and underscore the need for robust organizational policies and practices that can effectively prevent and address discrimination. The study highlights the importance of enhancing legal and procedural knowledge among employees, improving reporting and support systems, and fostering an inclusive culture to mitigate the adverse effects of discrimination on workplace dynamics and employee health.