Search Results (111)

Introduction: Patients are increasingly aware of ways to manage their own health—especially regarding chronic diseases—along with the fundamental factors that should be present in well-organized and patient-oriented healthcare organizations. Due to the fact that the image of healthcare organizations depends on patients’ opinions, healthcare organizations are continuously improving and transforming their processes to increase patient satisfaction. This study aimed to analyze the relationship between patients’ opinions about the public hospitals in which they were treated and selected factors, including socio-demographic characteristics, previous hospital experiences, sources of information, and satisfaction with hospitalization in Poland. Methods: A cross-sectional survey was conducted among patients hospitalized in eight public hospitals in Wrocław. A self-developed questionnaire included two sections: (I) opinions about the hospital (11 items) and (II) expectations and satisfaction (12 items). Questionnaires were distributed in person. Data were analyzed using descriptive and inferential statistics, including correlation and chi-square tests. Results: Hospital image was shaped mainly by interpersonal factors, particularly staff kindness (82.9%), access to specialists (75.4%), and a sense of safety (54.4%). Women were more likely than men to seek information about hospitals before admission (47.6% vs. 39.3%; p = 0.021). A positive correlation was found between patient expectations and satisfaction with hospitalization (ρ = 0.425; p < 0.001). Media exposure played a minor role in shaping hospital image (22.1%), while personal recommendations and previous experience were the dominant sources of influence. Conclusions: Patients’ assessments of hospital image are determined primarily by relational and communication factors rather than infrastructural or technical aspects. Sociodemographic characteristics, such as gender and previous contact with the institution, may moderate these perceptions. The findings highlight the need to strengthen patient-centered care models, improve communication competencies among health professionals, and develop transparent institutional communication strategies. Full article

Presently, video communities such as YouTube, bilibili and TikTok have emerged as core fields for information dissemination and public opinion generation. Their embedded user dynamic interaction data support research on public cognitive behavior and content dissemination laws. This study used web crawling technology to construct a complete dataset including 367 video metadata and 2.39 million comment records from Luo Xiang Speaks on Criminal Law—a prominent legal popularization account on the bilibili platform—and systematically explored the temporal evolution patterns of comment interactions in video communities. By establishing a four-dimensional feature system alongside the k-means++ clustering algorithm, this study successfully identified three distinct comment growth patterns (p < 0.001): the burst–decay, the multi-wave oscillation, and the delayed peak. The results of non-parametric tests showed that these three patterns have significant differences in core features (e.g., peak delay time, skewness) and are systematically related to user grade structure, content interaction depth, and release timing. In addition, the user interaction networks of different videos demonstrate significant structural heterogeneity and disassortative mixing, characterized by a highly active minority dominating the discourse, while peripheral nodes gravitate toward high-profile hubs. These findings offer researchers deeper insights into the micro-mechanisms of information dissemination. Full article

In the era of big data, the Law of Large Numbers is often treated as an absolute guarantee that increasing sample size (N) leads to a more accurate representation of truth. However, this study challenges this paradigm by demonstrating that in social systems characterized by conformity pressure and systemic bias, the maximization of N paradoxically triggers a structural shift in the selection and filtration of information. Using a sociophysical framework based on statistical mechanics and opinion dynamics, we identify a critical threshold—the “Signal Cliff”—where the diversity of information plummets and minority signals are irreversibly discarded as statistical noise. By executing large-scale simulations up to $N={10}^{10}$ via macro-dynamic approximations, we observe a phase transition from a stochastic phase of informational diversity to a deterministic phase. This collapse of Shannon entropy serves as a mathematical demonstration of “Epistemic Injustice,” where the sheer scale of data acts as a mechanism for silencing minority perspectives. We propose “Informational Health Diagnostics” as a necessary framework for evaluating the integrity of decision-making processes in digital public opinion and democratic elections. This approach provides a vital benchmark for distinguishing between a healthy consensus and a distorted convergence, ensuring robust information judgment in increasingly complex data-driven environments. Full article

Neuronal excitability manifests itself mainly in the form of non-linear, self-regenerative waves of electricity moving along the surface of neuronal axons. These waves are commonly known as action potentials (APs). Theoretical and experimental investigations of the physical and functional characteristics of APs have broadly followed along the lines of the ionic hypothesis and the associated mathematical model introduced by Hodgkin and Huxley (HH). In the current form of this bioelectrical framework, adopted in mainstream physiology and other biological sciences, the axonal membrane is conceptualized as an electronic circuit where electric current is generated and propelled as a result of the time-dependent opening and closure of voltage-operated ion channel proteins, allowing passive flow of specific ions across and along the membrane, powered by their respective electrochemical gradients. Although representing mainstream research, the bioelectric perspective has been criticized for its narrow focus on the electrical characteristics of APs, whilst ignoring other physical manifestations of the nerve signal, particularly mechanical and thermal changes coinciding with AP propagation. As an alternative, a macroscopic thermodynamics-based acoustic theory has been outlined, in which all electric and non-electric manifestations of the nerve signal are considered as a result of a single density pulse in the axonal membrane carried by a reversible lipid membrane phase transition and momentum conservation. Representing a minority view, however, this unified, acoustic perspective on the physical nature of neuronal excitability is largely ignored by representatives of the bioelectric perspective. Here, we draw special attention to the philosophical dimension of the communication failure between the two communities of scientists. We argue that adherents of the bioelectric perspective favor a mechanist type of explanation, whilst supporters of the acoustic perspective are committed to so-called covering-law types of explanation. We conclude that it is this thus far unrecognized philosophical rift, rather than specific scientific differences in opinion, that blocks fruitful interdisciplinary cooperation necessary for building a comprehensive, fully integrated notion of the physical nature of neuronal excitability. Suggestions of how to bridge this conceptual gap are formulated. Full article

I study the impact of mixed contrarians on the opinion dynamics of a heterogenous population with conformists using the Galam Majority Model. Activation of contrarians is a function of the majority/minority ratio in the local groups of discussion. Restricting the group size to 3, two types of contrarians are included in respective proportions $c_{3,0}$ for configurations with ratio 3 to 0 and $c_{2,1}$ for ratio 2 to 1. I then derive the explicit update equation and analytically obtain the fixed points, their stability, and the resulting full two-dimensional landscape of the dynamics of opinion. Setting $c_{3,0}=c_{2,1}=c$ recovers the original results obtained with uniform contrarians. The findings allow for considering a wide spectrum of new disruptive strategies to secure either a majority/minority ending ensuring the opinion having the larger initial support to win, or a single attractor dynamics at fifty/fifty, which implies a random winner regardless of initial supports. Full article

Bio-based fertilisers (BBFs), produced from various types of biological waste using different processing methods, have demonstrated encouraging levels of agronomic efficiency and environmental benefits, consistent with the principles of sustainable development (SD). Nevertheless, bringing these newly developed products to market remains difficult due to limited farmer awareness, perceived risks, and regulatory uncertainties. In this paper, we examine the attitudes, opinions, and awareness of farmers regarding the use of various BBFs in their fertilisation practices. We applied a survey research method, using the Paper and Pen Personal Interview (PAPI), and answers were collected by agricultural advisors. A questionnaire, consisting of open, closed, and Likert scale questions, focusing on general information about farmers, current practices regarding fertiliser use, and the determinants of fertiliser choice, was used. Descriptive statistics, cross-tabulations, chi-square tests, Cramer’s V coefficients, 95% confidence intervals, and McNemar’s test were used to analyse the data. This study was conducted in all 16 voivodeships in Poland, collecting a total of 800 responses. Factors influencing the negative or positive attitude of farmers toward this practice were identified. Currently, mineral fertilisers remain the dominant choice among Polish farmers due to their accessibility, cost-effectiveness, and agronomic performance. There is observed growing, albeit cautious, interest in alternative fertilisation strategies and the correct understanding of sustainable agriculture practices. About half of farmers expressed willingness to partially replace mineral fertilisers with organic options, but only a minority showed interest in adopting BBFs. The findings indicate that concerns about contaminants, heterogeneous quality, limited availability, and regulatory uncertainty continue to constrain interest in BBFs. Although respondents recognised potential environmental benefits, economic and agronomic considerations remained the primary drivers of decision-making. As the survey was conducted in late 2021, the results reflect pre-2022 market conditions and should be interpreted as a baseline rather than a direct indication of current attitudes. Overall, this study provides insights into behavioural and structural factors influencing fertiliser use in Poland and highlights areas where further policy, advisory, and market developments may help support more sustainable nutrient management. Full article

Background/Objectives: Primary palmar hyperhidrosis (PPH) is a socially debilitating condition that often begins in adolescence. Although sympathicotomy is a low-risk procedure, there are conflicting opinions about the optimal time for surgery: some recommend it at onset in adolescence, while others are cautious because of the risk of recurrence associated with juvenile neuroplasticity. The primary objective was to assess the recurrence rate; secondary objectives included the management of hyperhidrosis, compensatory sweating onset, and satisfaction. Methods: This retrospective cohort study included sympathicotomy procedures for palmar hyperhidrosis performed between 2004 and 2024 in patients younger than 18 years with a preoperative Hyperhidrosis Disease Severity Scale (HDSS) class of 4. Quantitative data are presented as medians and interquartile ranges, while categorical data are presented as numbers and percentages. Results: 28 patients were included, of whom 4 underwent single-stage surgery and 24 two-stage surgery. The median age was 17.30 years, with no gender predominance. At a median follow-up of 75 months, the recurrence rate was 10.71%. Twenty-two patients experienced compensatory sweating, with the majority (60.7%) reporting mild symptoms and the remainder reporting moderate. The median patient satisfaction score was 9.34 (range 9–10). Conclusions: Even though PPH typically begins during adolescence, there is no consensus on the appropriateness of sympathicotomy for younger patients, primarily due to concerns about recurrence. Our data, characterized by long-term follow-up and large numbers of minors, are consistent with those observed in adults’ cohorts in terms of hyperhidrosis management, compensatory sweating rates, and, particularly, recurrence rates, supporting the surgical approach even at a young age. Full article

Background: Energy drink [ED] consumption is common among young adults and has been linked to adverse health effects and risky behaviors. This study compared medical and non-medical university students to assess whether health education influences knowledge, consumption, and attitudes toward EDs. Although medical and non-medical students are not minors, their opinions on the national ban on EDs sales to individuals under 18 provide valuable insight into attitudes toward regulation. Material and Methods: A cross-sectional online survey was conducted among 871 students (42.1% medical, 57.9% non-medical). The questionnaire assessed demographics, ED consumption, knowledge, motivations, and regulatory attitudes. It was pilot-tested on 30 students to ensure clarity, and internal consistency was confirmed (Cronbach’s α = 0.78 for knowledge; α = 0.81 for attitudes). Non-parametric tests (Mann–Whitney U, Kruskal–Wallis) and chi-square analyses compared groups. Results: Participants’ mean age was 22.1 years; most were female (73.2%). Medical students demonstrated significantly better knowledge of ED ingredients (simple sugars, B vitamins, L-carnitine, electrolytes; p < 0.01) and adverse effects (e.g., irritability, dizziness, nausea; p < 0.05). However, ED consumption frequency did not differ between medical and non-medical students. The main reasons for ED use were energy and concentration; social motives were less frequent. Female students more often supported the ban on ED sales to minors and additional advertising restrictions (p < 0.001), while overall confidence in enforcement was low. Conclusions: Despite greater awareness, medical students consume EDs at rates comparable to non-medical students. Educating medical students on safe caffeine use is crucial, since shift work may promote stimulant intake. Combining targeted education with stronger enforcement could enhance the impact of regulatory policies and reduce risky consumption among young adults. Full article

This study describes the approach to develop hybrid nanostructures made of four varieties of ceramic nanotubes and three types of conductive polymers embedded with gold nanoparticles through a novel technique, which can exhibit distinct sensory properties not documented in the existing literature. Atomic force microscopy (AFM) analysis highlighted the characteristics of their surface roughness, identifying which could be the best choice for electrochemical electrodes depending on their surface structure. The incorporation of gold nanoparticles modifies the surface structure and forces the original grains to create voids that allow the gold particles to penetrate deeper and gather in small clusters, which in turn leads to a minor increase in grain size and localized sharpening of the peaks. The analysis mainly identified the peaks that were higher in relation to the valleys to identify a Gaussian distribution. It turned out that the configuration of ZnO nanotubes in the composites leads to the highest Ra values, with Al₂O₃ nanotubes coming in second place. Regarding the contribution of conducting polymers, PANI:EB presented the highest importance for all composites, while P3HT was relevant in several other cases. The evaluation of the electrode roughness, as described in this paper, is essential for the evaluation of its potential electrochemical activity and acts as a reliable measure that goes beyond the role of the evaluation of the active surface area (EASA). In our opinion, the evaluation of the EASA by traditional approaches described in the literature is not relevant for sensor applications, since the evaluation of the electrode surface structure must be performed before electrochemical tests, because the general electrochemical tests designed for sensor applications do not evaluate the EASA. Consequently, a thorough assessment of the electrode surface structure is advised, choosing the optimal electrodes according to this design, and additional data obtained from cyclic voltammetry will finally ascertain the true EASA and the actual performance of the respective electrode for identifying the target molecules. Full article

School dropout and the recruitment of minors by criminal organizations have become deeply intertwined phenomena in Ecuador, particularly in territories marked by extreme violence and institutional fragility. This study investigates how Ecuadorian national media construct and frame these issues in 2025, using a qualitative content analysis of 85 opinion columns, editorials and analytical pieces published in leading outlets including El Comercio, El Universo, La Hora, Primicias, GK, Vistazo and Mercurio. Through a critical analysis of discursive patterns, the study identifies dominant narratives that reflect the normalization of violence, the erosion of schools as protective spaces, polarized portrayals of youth as victims or delinquents and a general critique of state inaction. Media narratives were found to vary ideologically, with some reinforcing stigma while others advocated for structural reform and rights-based approaches. The results highlight the role of media in shaping public understanding of educational exclusion and juvenile vulnerability in contexts of conflict. This research concludes that while Ecuadorian media serve as both mirrors and mediators of social crisis, their potential to influence educational policy and child protection efforts remains uneven. A more inclusive, critical and community-oriented media discourse is needed to confront the challenges of educational abandonment and youth recruitment. Full article

With the rapid development of social media, short-text data have become increasingly important in fields such as public opinion monitoring, user feedback analysis, and intelligent recommendation systems. However, existing short-text sentiment analysis models often suffer from limited cross-domain adaptability and poor generalization performance. To address these challenges, this study proposes a novel short-text sentiment classification model based on the Bidirectional Encoder Representations from Transformers (BERTs) and a dual-stream Transformer gated attention mechanism. This model first employs Bidirectional Encoder Representations from Transformers (BERTs) and the Chinese Robustly Optimized BERT Pretraining Approach (Chinese-RoBERTa) to achieve data augmentation and multilevel semantic mining, thereby expanding the training corpus and enhancing minority class coverage. Second, a dual-stream Transformer gated attention mechanism was developed to dynamically adjust feature fusion weights, enhancing adaptability to heterogeneous texts. Finally, the model integrates a Bidirectional Gated Recurrent Unit (BiGRU) with Multi-Head Self-Attention (MHSA) to strengthen sequence information modeling and global context capture, enabling the precise identification of key sentiment dependencies. The model’s superior performance in handling data imbalance and complex textual sentiment logic scenarios is demonstrated by the experimental results, achieving significant improvements in accuracy and F1 score. The F1 score reached 92.4%, representing an average increase of 8.7% over the baseline models. This provides an effective solution for enhancing the performance and expanding the application scenarios of short-text sentiment analysis models. Full article

Linear Low-Density Polyethylene (LLDPE) is a versatile polyolefin made by copolymerizing ethene with minor amounts of a 1-alkene. The short side chain branches in the comonomer units partly hinder the ability of the polyethylene main chain to crystallize, thus providing a way to fine-tune material properties between the extremes of a thermoplastic and a moderate elastomer. In this function, higher 1-alkenes such as 1-hexene or 1-octene are more effective than shorter homologs like propene or 1-butene, because their alkyl substituents are fully incompatible with the polyethylene lattice. On the other hand, the former comonomers are also more expensive and, above all, poorly reactive with heterogeneous Ziegler–Natta (ZN) catalysts, the workhorses of the polyolefin industry; as a matter of fact, they can only be used with technologically more demanding molecular catalysts. The molecular kinetic factors governing this important and complicated catalytic reactivity are still poorly understood, and perusal of the literature led us to conclude that data reliability is often questionable due to experimental limitations in reaction equipment and protocols, particularly in academic laboratories. In this study, we made use of a state-of-the-art High-Throughput Experimentation workflow to measure the reactivity ratios with ethene of two representative higher 1-alkenes, namely 1-hexene and 1-decene, in the presence of a variety of well-defined molecular catalysts of metallocene and post-metallocene nature comparatively with a typical MgCl₂/TiCl₄ ZN catalyst for polyethylene application. We found that the two comonomers react almost identically with molecular catalysts, whereas a major decrease in reactivity for 1-decene compared with 1-hexene was observed idiosyncratically for the ZN catalyst. In our opinion, the overall results suggest that in the latter case, surface effects can be dominant over direct comonomer interactions with the coordination sphere of the active metal in dictating the observed molecular kinetic behavior. Full article

Famed lawyer Clarence Darrow (1857–1938) argued strongly for an early-life public health approach to crime prevention, one that focused on education, poverty reduction, and equity of resources. Due to his defense of marginalized persons and his positions that were often at odds with his legal colleagues and public opinion, he was known as the Big Minority Man. He argued that the assumption of free will—humans as free moral agents—justifies systems of inequity, retributive punishment, and “unadulterated brutality.” Here, the authors revisit Darrow’s views and expand upon them via contemporary research. We examine increasingly louder argumentation—from scholars across multiple disciplines—contending that prescientific notions of willpower, free will, blameworthiness, and moral responsibility, are contributing to social harms. We draw from biopsychosocial perspectives and recent scientific consensus papers calling for the dismantling of folk psychology ideas of willpower and blameworthiness in obesity. We scrutinize how the status quo of the legal system is justified and argue that outdated notions of ‘moral fiber’ need to be addressed at the root. The authors examine recent arguments for one of Darrow’s ideas—a public health quarantine model of public safety and carceral care that considers the ‘causes of the causes’ and risk assessments through a public health lens. In our view, public health needs to vigorously scrutinize the prescientific “normative” underpinnings of the criminal justice system. Full article

Background/Objectives: The high sensitivity of paediatric nurses directly influences the quality of nursing care provided to patients. The purpose of this study is to present the most frequent issues faced by paediatric nurses in their everyday work and their responses to difficult situations at work, define the actions applied when a difficult situation occurs, and assess the level of stress and other factors influencing the level of stress experienced by paediatric nurses. Methods: This study was conducted using an original survey form and a standardised psychological questionnaire based on the Perceived Stress Scale (PSS-10) for paediatric nurses. Results: The study involved 416 paediatric nurses and indicated a medium level of stress among the nurses. The median stress level, calculated as the sum of answers to questions based on the PSS-10, was 18 (16.0 ÷ 20.0), and the mean was 17.9 (min–max = 1–30). The median Sten score was 6 (5.0 ÷ 7.0), and the mean Sten score was 5.94 (min–max = 2–9). Nurses aged 21–30 years, who live in a city, have a Bachelor of Science in Nursing or a Master of Science in Nursing, and work ≥ 61 h a week and 161–250 h a month experience a higher level of stress. Factors such as choosing which child to help first, spending a great deal of time filling out medical documentation, obtaining a sick child’s consent to perform nursing procedures which the child does not understand, involving the minor in decision-making, impolite or offensive behaviour from a sick child or their parents, ineffective nursing and treatment methods, providing care against the opinion/views of a sick child or their parents, difficulties in or a lack of understanding of the situation of a sick child and their family, performing nursing procedures that can cause the child pain, and the inability to fulfil a sick child’s request increase the level of stress experienced by paediatric nurses. When a difficult situation occurs at work occurs, the nurses usually meet and talk about the situation with someone close (72.4%) or engage in other activities to avoid thinking about the situation (66.6%). They consult a psychologist/psychotherapist very rarely (9.6%) and a psychiatrist extremely rarely (4.6%). Conclusions: Polish paediatric nurses were found to experience a medium level of stress. Since paediatric nurses are exposed to stress, providing them with psychological care is important. The level of perceived stress is dependent on the nurse’s age, place of residence, and education, as well as weekly and monthly working durations. Paediatric nurses experience many difficult situations in their everyday work that influence their stress levels. Management should pay special attention to difficult workplace situations faced by paediatric nurses and implement regular actions to reduce the levels of stress experienced. Full article

Understanding the dynamics of public opinion formation in digital environments is crucial for managing technological communications effectively. This study investigates stance interactions and opinion reversal phenomena in technical discourse through analysis of the Manus AI controversy that generated approximately 36,932 social media interactions during March 2025. Employing an integrated methodology combining Large Language Model (LLM)-enhanced stance detection with agent-based modeling (ABM), we reveal distinctive patterns challenging traditional public opinion theories. Our cross-correlation analysis identifies significant lagged interaction effects between skeptical and supportive stances, demonstrating how critical expressions trigger amplified counter-responses rather than inducing silence. Unlike prior conceptualizations of counter-silencing that emphasize ideological resistance or echo chambers, our notion of the “counter-spiral of silence” specifically highlights lagged emotional responses and reactive amplification triggered by minority expressions in digital technical discourse. We delineate its boundary conditions as arising under high emotional salience, asymmetrical expertise, and platform structures that enable real-time feedback. The agent-based simulation reproduces empirical patterns, revealing how emotional contagion and network clustering mechanisms generate “counter-spiral of silence” phenomena where challenges to dominant positions ultimately strengthen rather than weaken those positions. These findings illuminate how cognitive asymmetries between public expectations and industry realities create distinctive discourse patterns in technical contexts, offering insights for managing technology communication and predicting public response trajectories in rapidly evolving digital environments. Full article