mstyslavity/prisma_v3 huggingface dataset:
Background Previous studies indicate that transcranial direct current stimulation (tDCS) with anode over motor cortex (M1) and cathode over contralateral supraorbital region (SO) may be effective in reducing pain, but these studies are limited in number and have not focused on older adults with osteoarthritis (OA). Objective To evaluate the preliminary efficacy and safety of M1-SO applied tDCS on clinical pain severity and mobility performance in adults with knee OA pain. Methods. Forty (40) 50- to 70-year-old community-dwelling participants with knee OA were randomly assigned to receive five daily sessions of 2 mA tDCS for 20 min (n = 20) or sham tDCS (n = 20). We measured clinical pain severity via Numeric Rating Scale, Western Ontario and McMaster Universities Osteoarthritis Index, and Short-Form McGill Pain Questionnaire. In addition, we measured mobility performance using the 6-Minute Walk Test and the Short Physical Performance Battery. Moreover, we obtained a sensation/safety questionnaire and measured cognition changes using the PROMIS-Applied Cognition-Abilities-Short Form 8a. Results Active tDCS over M1-SO significantly reduced Numeric Rating Scale of pain compared to sham tDCS after completion of the five daily sessions, and remained up to three weeks. No other measures were significantly different from sham. Participants tolerated tDCS over M1-SO well without serious adverse effects or cognition changes. Conclusion Although not consistent in all pain measurements, our findings demonstrate promising clinical efficacy for reduction in pain perception for older adults with knee OA. Trial registration ClinicalTrials.gov Identifier NCT02512393.
Background/purpose Vagus nerve stimulation (VNS) has been demonstrated to be safe and effective for adults and children with drug-resistant epilepsy and is able to improve most types of epilepsy. The aim of this study, in a paediatric population, was to assess the overall efficacy of vagus nerve stimulation on seizures, to assess tolerability and quality of life. Methods This single-centre, retrospective study reviewed the files of 29 children in whom a vagus nerve stimulator was implanted between 1995 and 2012. The response rate (greater than 50% reduction of the seizure frequency), antiepileptic efficacy according to the type of epilepsy or age at implantation or age at onset of epilepsy, the time-course of seizures, adverse effects, overall quality of life and number of hospitalisations were studied. Results In our population, vagus nerve stimulation achieved a significant reduction in the seizure frequency throughout follow-up (p = 0.015). Response rates were 59% at 3 months, and 66% at 6 months, and the response rate then remained stable at about 70%. Stimulation tended to be more effective in patients with non-idiopathic partial epilepsy than in patients with non-idiopathic and idiopathic generalised epilepsy (0.01 < p < 0.11). No other predictive factors of efficacy were identified. Patients, parents, caregivers reported improvement in overall quality of life in 38% of patients during clinical interviews. A significant reduction in the number of hospitalisations due to a reduction of seizure frequency was observed after implantation (p = 0.03). VNS was stopped because of complications or insufficient efficacy in 9 cases. Conclusion Vagus nerve stimulation is a safe and effective treatment option in children with drug-resistant epilepsy who are not candidates for surgery.
Numerous breast cancer patients experience cognitive changes during and after chemotherapy. Chemotherapy-related cognitive impairment can significantly affect quality of life. This pilot study attempted to determine the effects of a compensatory cognitive training on the objective and subjective cognitive functioning of breast cancer patients receiving adjuvant chemotherapy.
Corrosive (caustic) material ingestion remains a major health issue, particularly in developing countries. The management strategy after corrosive ingestion should be planned according to the signs and symptoms. The management of corrosive ingestion based on endoscopic grading, nothing by mouth, and barium studies should be abandoned. With the new management protocol, esophageal stricture can be predicted with high accuracy using the simple new prognostic DROOL score (≤ 4) rather than endoscopic grading, reduced by immediate oral feeding as soon as the patient can swallow saliva instead of nothing by mouth, diagnosed earlier (10–14 days) by fluoro-endoscopic balloon-assisted esophageal examination for 24 patients with persistent dysphagia instead of relying on a barium study (≥ 21 days), and adequately treated by initiating balloon dilation earlier during the same anesthesia procedure. Fluoroscopically guided balloon dilatation with large balloons (18–20 mm) seems to be safe, with a low frequency of complications and a high success rate. If dilatation fails after a few months, esophagectomy and replacement surgery using the stomach should be considered. The increased risk of developing esophageal carcinoma after ingestion of corrosive substances should be kept in mind.
Although imitation problems have been associated with autism for many years, the underlying mechanisms of these problems remain subject to debate. In this article, the question whether imitation problems are caused by selection or correspondence problems is explored and discussed. This review revealed that hypotheses on the nature of imitation problems in autism are complicated and inconclusive at the present time. There is some evidence for impaired selection, especially implicating poor preferential attention to biological motion and poor ascription of intention to action. There is also some evidence that both transformations of perspectives and mapping of visual to motor information are impaired, characterized as correspondence problems. However, it is not yet clear how poor selection processes contribute to correspondence problems and vice versa. Insight in this interaction may provide a valuable contribution to our understanding of imitation problems in autism. For further research we recommend that tasks should be constrained to target as few mechanisms as possible in given experiments.
to STRONGSA or WEAKSA for Stage 2, which, along with the trials in Stage 1 and 3, was used for student modeling following Equation 3. As we will describe in Section V-B, we empirically found that STRONGSA led to stronger student modeling more aligned with an expert coach. The remaining 30 participants were therefore assigned to STRONGSA for Stage 2, and randomly assigned to receive no assistance or SKILLSA in Stage 4. The particular coaching intervention that SKILLSA uses for each participant is based on argmaxz∈(steer,brake,throttle)zpd(z), or the skill that received the highest score in our student modeling based on that participant's trajectories in Stages 1-3. Note that while we set the size of set Zg = 8, we restrict coach actions to only consider steer, brake, and throttle. Upon completing the study, all participants were asked to fill out a feedback form, where they reflected on the effectiveness of the five-minute practice session, and provided additional feedback on their experience with the simulator and assistance. We provide more details, including the full set of instructions participants received, in the Appendix. Overall, the structure of the study allowed us to assess the influence of shared autonomy on learning by comparing each participant's Baseline and Evaluation rounds, as well as systematically evaluate each component of Z-COACH. V. EXPERIMENTAL RESULTS Recall that Z-COACH consists of three steps: (i) task skill discovery, (ii) student modeling with shared autonomy to estimate how much a skill is within a student's "zone of proximal development", and (iii) using skill-focused shared autonomy to help the student improve. We now evaluate each step.
Accumulating evidence suggests that not only diseases of old age, but also normal aging, affect elderly adults’ ability to draw on the framework theories that structure our abstract causal-explanatory knowledge, knowledge that we use to make sense of the world. One such framework theory, the cross-culturally universal vitalist biology, gives meaning to the abstract concepts life and death. Previous work shows that many elderly adults are animists, claiming that active, moving entities such as the sun and the wind are alive (Zaitchik & Solomon, 2008). Such responses are characteristic of young children, who, lacking an intuitive theory of biology, distinguish animals from non-animals on the basis of a theory of causal and intentional agency. What explains such childlike responses? Do the elderly undergo semantic degradation of their intuitive biological theory? Or do they merely have difficulty deploying their theory of biology in the face of interference from the developmentally prior agency theory? Here we develop an analytic strategy to answer this question. Using a battery of vitalist biology tasks, this study demonstrates—for the first time—that animism in the elderly is due to difficulty in deployment of the vitalist theory, not its degradation. We additionally establish some powerful downstream consequences of theory deployment difficulties, demonstrating that the elderly’s use of the agency theory is not restricted to animist judgments—rather, it pervades their explicit reasoning about animates and inanimates. Extending the investigation, we identify specific cognitive mechanisms implicated in adult animism, finding that differences between young and elderly adults are mediated and moderated by differences in inhibition and shifting mechanisms. The analytic strategy developed here could help adjudicate between degradation and deployment in other conceptual domains and other populations.
While Cave Automatic Virtual Environment (CAVE) systems have long enabled room-scale virtual reality and various kinds of interactivity, their content has largely remained predetermined. We present \textit{Storycaster}, a generative AI CAVE system that transforms physical rooms into responsive storytelling environments. Unlike headset-based VR, \textit{Storycaster} preserves spatial awareness, using live camera feeds to augment the walls with cylindrical projections, allowing users to create worlds that blend with their physical surroundings. Additionally, our system enables object-level editing, where physical items in the room can be transformed to their virtual counterparts in a story. A narrator agent guides participants, enabling them to co-create stories that evolve in response to voice commands, with each scene enhanced by generated ambient audio, dialogue, and imagery. Participants in our study (n=13) found the system highly immersive and engaging, with narrator and audio most impactful, while also highlighting areas for improvement in latency and image resolution.
This study investigates whether demographic factors shape adoption and attitudes among employees toward artificial intelligence (AI) technologies at work. Building on an extended Unified Theory of Acceptance and Use of Technology (UTAUT), which reintroduces affective dimensions such as attitude, self-efficacy, and anxiety, we surveyed 2,257 professionals across global regions and organizational levels within a multinational consulting firm. Non-parametric tests examined whether three demographic factors (i.e., years of experience, hierarchical level in the organization, and geographic region) were associated with AI adoption, usage intensity, and eight UTAUT constructs. Organizational level significantly predicted AI adoption, with senior employees showing higher usage rates, while experience and region were unrelated to adoption. Among AI users (n = 1,256), frequency and duration of use showed minimal demographic variation. However, omnibus tests revealed small but consistent group differences across several UTAUT constructs, particularly anxiety, performance expectancy, and behavioral intention, suggesting that emotional and cognitive responses to AI vary modestly across contexts. These findings highlight that demographic factors explain limited variance in AI acceptance but remain relevant for understanding contextual nuances in technology-related attitudes. The results underscore the need to integrate affective and organizational factors into models of technology acceptance to support equitable, confident, and sustainable engagement with AI in modern workplaces.
Social media platforms have transformed global communication and interaction, with TikTok emerging as a critical tool for education, connection, and social impact, including in contexts where infrastructural resources are limited. Amid growing political discussions about banning platforms like TikTok, such actions can create significant ripple effects, particularly impacting marginalized communities. We present a study on Nepal, where a TikTok ban was recently imposed and lifted. As a low-resource country in transition where digital communication is rapidly evolving, TikTok enables a space for community engagement and cultural expression. In this context, we conducted an online survey (N=108) to explore user values, experiences, and strategies for navigating online spaces post-ban. By examining these transitions, we aim to improve our understanding of how digital technologies, policy responses, and cultural dynamics interact globally and their implications for governance and societal norms. Our results indicate that users express skepticism toward platform bans but often passively accept them without active opposition. Findings suggest the importance of institutionalizing collective governance models that encourage public deliberation, nuanced control, and socially resonant policy decisions.
Trust is one of the most important factors shaping whether and how people adopt and rely on artificial intelligence (AI). Yet most existing studies measure trust in terms of functionality, focusing on whether a system is reliable, accurate, or easy to use, while giving less attention to the social and emotional dimensions that are increasingly relevant for today's generative AI (GenAI) systems. These systems do not just process information; they converse, respond, and collaborate with users, blurring the line between tool and partner. In this study, we introduce and validate the Human-AI Trust Scale (HAITS), a new measure designed to capture both the rational and relational aspects of trust in GenAI. Drawing on prior trust theories, qualitative interviews, and two waves of large-scale surveys in China and the United States, we used exploratory (n = 1,546) and confirmatory (n = 1,426) factor analyses to identify four key dimensions of trust: Affective Trust, Competence Trust, Benevolence & Integrity, and Perceived Risk. We then applied latent profile analysis to classify users into six distinct trust profiles, revealing meaningful differences in how affective-competence trust and trust-distrust frameworks coexist across individuals and cultures. Our findings offer a validated, culturally sensitive tool for measuring trust in GenAI and provide new insight into how trust evolves in human-AI interaction. By integrating instrumental and relational perspectives of trust, this work lays the foundation for more nuanced research and design of trustworthy AI systems.
Abstract Project finance has evolved during the years and sectors of applications have changed together with the geographic areas where the technique has been used. Originally project finance was used in sectors with a stable captive market, low technology risk and low country risk. During the years, the technique has been increasingly implemented in riskier sectors and riskier countries. This chapter presents the historic evolution of project finance and PPPs. We first outline the worldwide trends with details regarding the use of the technique in different sectors and geographic macroregions. Then, we present a focus on the PPP subsegment. Here, we carry out the analysis distinguishing between developing and developed countries. Finally, a special focus on the European PPP market is provided.
Although cognitive neuroscience has made valuable progress in understanding the role of the prefrontal cortex in human intelligence, the functional networks that support adaptive behavior and novel problem solving remain to be well characterized. Here, we studied 158 human brain lesion patients to investigate the cognitive and neural foundations of key competencies for fluid intelligence and working memory. We administered a battery of neuropsychological tests, including the Wechsler Adult Intelligence Scale (WAIS) and the N-Back task. Latent variable modeling was applied to obtain error-free scores of fluid intelligence and working memory, followed by voxel-based lesion-symptom mapping to elucidate their neural substrates. The observed latent variable modeling and lesion results support an integrative framework for understanding the architecture of fluid intelligence and working memory and make specific recommendations for the interpretation and application of the WAIS and N-Back task to the study of fluid intelligence in health and disease.
Vote functions are important devices for providing a ‘big picture’ of developments in electoral politics. However, the limited degrees of freedom upon which they are typically based mean that vote functions are rarely able to properly discriminate between competing accounts of electoral outcomes. They also fail adequately to capture the impact of ‘events’ or to recognise the extent to which the context of electoral competition can vary over time. Popularity functions that restrict themselves to relatively limited periods of time are capable of addressing all of these concerns: they enjoy more degrees of freedom, can take full account of the impact of ‘events’, and can focus on very specific electoral periods. Interestingly, however, Lewis-Beck’s vote function for post-war British politics contains variables that are very similar to those in a popularity function that was developed for the most recent (2001) British general election. In the British context, vote and popularity functions seem to provide quite similar accounts of the main drivers of party support. The advantage of both approaches is that they provide clearly specified, unambiguous—and falsifiable—accounts of the phenomenon under investigation.
Cigarette smoke condensates (CSCs) are complex mixed compounds that contain both direct and indirect mutagens/carcinogens. To detect genotoxicity of CSCs in vitro, a combination of various enzymes (e.g. activation and detoxification enzymes) called S9 is usually added. However, as S9 may induce cytotoxicity in target cells, it is unclear whether the addition of S9 can impact CSC-induced toxicity. Here, differences in cytogenotoxicity between CSCs in the presence or absence of S9 were studied using three in vitro assays (neutral red uptake assay, comet assay, and TCR gene mutation test) in human peripheral lymphocytes, which were exposed to CSCs at doses of 25, 50, 75, 100 and 125μg/ml for 4h. Assay results showed that both CSCs+S9 or CSCs−S9 could induce a dose-dependent elevation of cytogenotoxic effects in human lymphocytes with some differences between the two groups. The cytogenotoxicity induced by CSCs−S9 was significantly higher than that induced by CSCs+S9 in all three assays. The comet and NRU assays revealed that a dose–response relationship of cytogenotoxicity induced by CSCs+S9 was less typical than that induced by CSCs−S9, possibly due to specific cytogenotoxic agents in CSCs and enzymes contained in the S9 mixture. Thus, the three in vitro assays used in the present study are suitable for detecting cytogenotoxic effects in human lymphocytes induced by CSCs. Furthermore, the cytogenotoxicity induced by both CSCs+S9 and CSCs−S9 should be measured simultaneously when assessing and comparing the biological activity of different CSCs.
Medication use is a potentially modifiable risk factor for falling; psychotropic and cardiovascular drugs have been indicated as main drug groups that increase fall risk. However, evidence is mainly based on studies that recorded falls retrospectively and/or did not determine medication use at the time of the fall. Therefore, we investigated the associations indicated in the literature between medication use and falls, using prospectively recorded falls and medication use determined at the time of the fall.
Past studies on the factor validity of the Trait subscale of the Spielberger’s State-Trait Anxiety Inventory (STAI-T) do unanimously agree on its structure. In fact, researchers are still debating whether the STAI-T is unidimensional or multidimensional. Our aim was to clarify what the STAI-T measures. The STAI-T, the Beck Depression Inventory–II, the Teate Depression Inventory, and the Beck Anxiety Inventory were administered to 1124 psychiatric outpatients and to 877 healthy subjects. A confirmatory factor analysis was performed in order to compare various models in the literature. The internal consistency and convergent and discriminant validity of the STAI-T as well as its factorial subscales were assessed. The one-construct two-method (i.e., the STAI-T measures one substantive anxiety construct plus artifacts due to negative–positive item polarity) and the bifactor (i.e., the STAI-T comprises two first-order specific factors [“Anxiety” and “Depression”] and one first-order general factor) models were the best-fitting solutions for the STAI–T in both the clinical and nonclinical samples. The STAI–T total score correlated more strongly with measures of depression than with a concurrent measure of anxiety. The STAI-T should be considered a measure of general negative affect, including specific aspects of cognitive anxiety and depression together.
Summary This paper explores households’ coping strategies in rural South Africa, where HIV/AIDS morbidity and mortality are having profound effects on household resources. Older women’s pensions play a potentially crucial role in multi-generational households during crises and for day-to-day subsistence. We conducted semi-structured interviews with 30 elderly women from the MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt) fieldsite, who were eligible for the South African non-contributory pension. Although we stratified our sample by household mortality experience, the area’s high levels of migration, unemployment, and HIV/AIDS prevalence made our respondents’ pensions an important, regular, and reliable source of household-income regardless of their households’ mortality profile.