Search Results (2,017)

Starting from a symmetrical multiple-choice individual, I build a sociophysics model of decision-making. Reducing the choices to two and interactions to pairs recovers the Ising model from physics at zero temperature. The associated equilibrium state results from a spontaneous symmetry breaking, with the whole group sharing a unique choice, which is selected at random. However, my focus departs from physics, which aims at identifying the true equilibrium state, discarding any possible impact of the initial conditions, the size of the sample, and the update algorithm used. Memory of past history is erased. In contrast, I claim that dealing with a social system, the history of the system must be taken into account in identifying the relevant social equilibrium state, which is always biased by its history. Accordingly, using Monte Carlo simulations, I explore the spectrum of non-universal equilibrium states of the Ising model at zero temperature. In particular, I show that different initial conditions with the same value of the order parameter lead to different equilibrium states. The same applies for different sizes and different update algorithms. The results indicate that in the presence of a social network composed of agents sharing different initial opinions, it is their interactions that lead them to share a unique choice and not their mere membership in the network. This finding sheds a new light on the emergence of echo chambers, which appear to be the end of a dynamical process of opinion update and not its beginning with a preferential attachment. Furthermore, polarization is obtained as a side effect of the random selection of the respective unanimous choices of the various echo chambers within a social community. The study points to social media exchange algorithms, which are purely technical levers independent of the issue and opinions at stake, to tackle polarization by either hindering or accelerating the completion of symmetry breaking between agents. Full article

The sale of second-hand goods has formed a complete industrial chain, and second-hand product testing is a crucial part of it. Second-hand inspection platforms (SIPs) have achieved remarkable commercial success by providing inspection services that alleviate consumers’ quality concerns. Different SIPs typically adopt various operation modes, such as consignment, resale, or hybrid modes. Appropriate operation modes not only benefit SIPs in maintaining profitability but also contribute to the sustainable development of the sharing economy. In order to realize the sustainable operation of second-hand inspection platforms, we construct a platform-dominated Stackelberg model to explore the motivations behind SIPs’ choices of different operation modes and investigate the impacts of changes in the inspection service level on the platform’s optimal decisions and market performance. System data analysis results show that the cost of guarantee significantly influences SIPs’ choices of operation modes, specifically; SIPs are inclined to adopt consignment mode or resale mode when the cost of guarantee is relatively high or low, respectively, and choose hybrid mode when the cost of guarantee is moderate. Furthermore, in the presence of inter-channel competition, if the inspection failure loss is relatively high, SIPs may lower the prices of used products as the inspection service level increases. Additionally, although inspection service can disclose the true quality of used products, a higher inspection service level may attract more low-quality sellers into the market when the inspection failure loss is substantial. Finally, under the resale mode, consumer surplus and social welfare will decrease with the inspection service level. Conversely, under the consignment or hybrid mode, both consumer surplus and social welfare will increase with the inspection service level when the inspection failure loss is relatively low. Full article

Sentiment analysis is a well-known task that has been used to analyse customer feedback reviews and media headlines to detect the sentimental personality or polarisation of a given text. With the growth of social media and other online platforms, like Twitter (now branded as X), Facebook, blogs, and others, it has been used in the investment community to monitor customer feedback, reviews, and news headlines about financial institutions’ products and services to ensure business success and prioritise aspects of customer relationship management. Supervised learning algorithms have been popularly employed for this task, but the performance of these models has been compromised due to the brevity of the content and the presence of idiomatic expressions, sound imitations, and abbreviations. Additionally, the pre-training of a larger language model (PTLM) struggles to capture bidirectional contextual knowledge learnt through word dependency because the sentence-level representation fails to take broad features into account. We develop a novel structure called language feature extraction and adaptation for reviews (LFEAR), an advanced natural language model that amalgamates retrieval-augmented generation (RAG) with a conversation format for an auto-regressive fine-tuning model (ARFT). This helps to overcome the limitations of lexicon-based tools and the reliance on pre-defined sentiment lexicons, which may not fully capture the range of sentiments in natural language and address questions on various topics and tasks. LFEAR is fine-tuned on Hellopeter reviews that incorporate industry-specific contextual information retrieval to show resilience and flexibility for various tasks, including analysing sentiments in reviews of restaurants, movies, politics, and financial products. The proposed model achieved an average precision score of 98.45%, answer correctness of 93.85%, and context precision of 97.69% based on Retrieval-Augmented Generation Assessment (RAGAS) metrics. The LFEAR model is effective in conducting sentiment analysis across various domains due to its adaptability and scalable inference mechanism. It considers unique language characteristics and patterns in specific domains to ensure accurate sentiment annotation. This is particularly beneficial for individuals in the financial sector, such as investors and institutions, including those listed on the Johannesburg Stock Exchange (JSE), which is the primary stock exchange in South Africa and plays a significant role in the country’s financial market. Future initiatives will focus on incorporating a wider range of data sources and improving the system’s ability to express nuanced sentiments effectively, enhancing its usefulness in diverse real-world scenarios. Full article

The increased presence of cadmium in the environment can lead to its increase in the food chain, particularly due to its accumulation in the consumable parts of plants. For humans, ingesting food containing high levels of Cd is a significant exposure pathway. Being a non-essential and non-metabolized element, it is harmful to microorganisms, animals, plants, and humans, even in minimal concentrations. As a result, there is a need for the remediation of both natural and urban environments. Bioremediation is a sustainable and eco-friendly technique for cleaning up the environment and reducing contamination of living organisms. This review explores the potential of phytoremediation, a bioremediation approach that utilizes plants as agents for decontamination, as a method to restore such areas. Certain plants, particularly macrophytes, are capable of remediating Cd. In response to induced stress, plants activate various tolerance mechanisms, including antioxidant enzyme systems (as peroxidase, catalase, ascorbate peroxidase, superoxide dismutase, and glutathione peroxidase) as well as non-enzymatic pathways (like phytochelatins). However, a thorough understanding of these tolerance mechanisms is essential for optimizing this method, especially for application in aquatic environments. This study will, therefore, review the existing tolerance and detoxification mechanisms for Cd, along with bioremediation strategies. The application of this eco-friendly approach is highly correlated with the three main areas required for sustainability: economic, environmental and social. Full article

This study proposes a portable and IoT-based electrochemical point-of-care sensing device for detecting zopiclone in cocktails. The system utilizes an electrochemical laccase biosensor and a potentiostat, offering a low-cost and portable device for detecting this sedative drug in cocktails. The sensor characterization experiments demonstrated the linear behavior of the oxidation and reduction currents for each of the targeted concentrations of zopiclone, enabling their detection and quantification even when mixed with an interfering substance. The proposed system could be used for the in situ analysis of cocktails, providing a valuable tool for monitoring the presence of hypnotic drugs in various social and clinical settings. The study utilized materials and reagents, including zopiclone, lab-made lemon juice, lab-made tequila, and lab-made triple sec, all prepared with reactants obtained in Bogotá, Colombia. The potentiostat used in the system was designed to manage cyclic voltammetry measurements. The electrochemical cells’ durability and longevity were also tested and characterized, with all electrodes undergoing 200 tests and their performance degradation varying according to the molecule used. The study concludes that the proposed system offers a valuable tool for detecting and monitoring pharmaceutical substances in various interfering ingredients that build up cocktails. Further research and application of this system can help address the global concern surrounding the administration of hypnotic substances to unknowing consumers through food or drinks to enable robbery and sexual assault. Full article

This study uses the Q methodology to investigate the subjective perceptions of social reintegration among cancer survivors in their 20s and 30s. We organised a Q population through a pilot study and interviews and finalised 40 Q sample items. For P sample representativeness, we used purposive sampling and selected 12 individuals by age and cancer type. After a Q sorting process, we conducted a key factor analysis using Ken-Q Analysis Desktop Edition. We identified four types of P samples based on their perceptions and noted the main characteristics of each type. We characterised Type 1 as “recovery of presence through social reintegration seeking”, Type 2 as “confusion in social reintegration due to social prejudices”, Type 3 as “psychosocial support in the process of social reintegration”, and Type 4 as “blessing in disguise for post-traumatic growth”. The results suggest a need for practical and institutional support reflecting cancer survivors’ characteristics by type. This study provides basic data that researchers could use to develop coaching and counselling services to support the social reintegration of cancer survivors in their 20s and 30s. Full article

Major Depressive Disorder (MDD) is a neuropsychiatric condition whose neurobiological characteristics include alterations in brain plasticity, modulated by Brain-Derived Neurotrophic Factor (BDNF). In animal models, environmental enrichment promotes neuroplasticity and reduces depressive-like behaviors. In humans, we proposed to assess the level of Enriched Environment (EE) using a questionnaire that includes different domains of the EE (cognitive, social, and physical), which we named the EE Indicator (EEI). Objective: To determine the relationship between the level of EE and serum BDNF in participants with MDD and healthy controls. Materials: Participants with MDD without antidepressant treatment and healthy controls were recruited, and their EE level and serum BDNF concentration were determined looking for correlations between their clinical characteristics and the cognitive, social, and physical activities according to the EEI. Results: A total of 25 participants were recruited, of which 6 participants with MDD and the same number of controls were selected in a paired manner. Although no differences were found in the concentration of BDNF between the groups, positive correlations were observed between cognitive EE and BDNF (r = 0.62, p = 0.035), as well as negative social EE and the Hamilton Depression Rating Scale (HDRS) (r = −0.86, p = 0.001). The sum between cognitive and social EE showed a positive correlation with the serum concentration of BDNF (r = 0.34, p = 0.0451). Conclusions: The level of EE is potentially modulating the presence and severity of MDD at a clinical level, but it can also influence at a neuroplastic level through promoting or limiting the concentration of BDNF. Full article

This study investigated patterns of activities in urban green spaces (UGSs) in downtown Shanghai. UGSs are essential public infrastructure, contributing to urban sustainability, quality of life, and social cohesion. Although widely studied, there is a gap in the literature regarding Chinese UGSs when the object of study is the nature the activities. In this sense, we aimed to investigate the activities from the perspective of appropriation of the space, considered here as different from the use of space. This study addressed this by analyzing user demographics, frequency, and spatial activity patterns to assess how these activities could be classified and scored according to a varying levels of appropriation. Through a mixed-methods design based on non-participant observation and behavior mapping, the study was conducted across three comprehensive parks in Shanghai, divided into nine observation zones. The data were analyzed through descriptive statistics, IBM SPSS, and qualitative coding, revealing, as the main findings, sixty distinct activity types, a soft to moderate level of appropriation, and notable variations in demographic presence and temporal trends. This research underscores the effectiveness of observational methods, validates appropriation as an analytical category, and emphasizes the importance of structured classification systems for improving the understanding of UGSs’ socio-spatial performance and their societal role. Full article

The warming slowdown observed between 1998 and 2012 has raised concerns in recent years. To examine the temporal and spatial variations in annual mean temperature (Tmp) as well as 12 extreme temperature indices (ETIs), and to assess the presence of a warming slowdown in North China (NC), we analyzed homogenized daily observational datasets from 79 meteorological stations spanning 1960 to 2020. Additionally, we investigated the influences of 78 atmospheric circulation indices (ACIs) on ETIs during the period of warming slowdown. To compare temperature changes, the study area was divided into three parts based on topographic conditions: Areas I, II, and III. The results revealed significant warming trends in Tmp and the 12 ETIs from 1960 to 2020. Comparing the time frames of 1960–1998, 2012–2020, and 1998–2012, both Tmp and the 12 ETIs displayed a cooling trend in the latter period, confirming the existence of a warming slowdown in NC. Notably, indices derived from daily maximum temperature exhibited higher cooling rates during 1998–2012, with winter contributing most significantly to the cooling trend among the four seasons. The most pronounced warming slowdown was observed in Area I, followed by Area III and Area II. Furthermore, our attribution analysis of ACIs concerning the temperature change indicated that the Asia Polar Vortex Area Index may have had the greatest influence on ETIs from 1960 to 2016. Moreover, the weakening of the Tibet Plateau Index Band and the Asian Latitudinal Circulation Index, and the strengthening of the Eurasian Latitudinal Circulation Index, were closely associated with ETIs during the warming slowdown period in NC. Through this research, we aim to deepen our understanding of climate change in NC and offer a valuable reference for the sustainable development of its natural ecology and social economy. Full article

A significant issue facing communicators in the current multicommunicative environment is securing the attention of potential audience members who are likely to be engrossed in their digital devices. The theory of attentional social presence suggests that communicators secure their attention using one of four types of social presence—budgeted, competitive, entitled, and invitational. In this essay, the theory of attentional social presence is extended by identifying strategies interactants use to resolve misalignments in expected or preferred types of social presence. The research design involved interviews with 32 individuals about their experiences with misalignment in attentional social presence. Transcripts of the interviews were coded following the qualitative approach of grounded theory. Three primary strategies emerged from the analysis—prescribing to eliminate misalignment, rationalizing to overlook misalignment, and co-creating to resolve misalignment. Understanding various methods for negotiating mismatches among chosen types of social presence will allow communicators to create more satisfying and productive interactions. Full article

According to current studies, the thermal effects of global warming will affect urban areas more intensely. In the face of this situation, strategies for the improvement and management of urban green spaces are becoming increasingly important in sustainable landscape design. These strategies promote social sustainability by positively affecting individuals’ physical and psychological well-being, taking into consideration ecological sustainability. Projections regarding global warming emphasize that the density of hardscapes and green spaces, the selection of plant species, and the distribution of plants considered within the scope of this study should be taken into account. This research was conducted in the Görükle neighborhood of Bursa, focusing on the role of temperature-regulating elements in 14 neighborhood parks. Systematic temperature measurements were carried out in the research area on the 10th, 20th, and 30th of July and August, specifically between 12:00 and 13:00, during peak temperature hours. The presence of parks that are close to each other and relatively far away from each other in the study area was seen as advantageous to filter the effects of plant differences in similar conditions. Furthermore, evaluating these various factors together highlights the multifaceted nature of thermal comfort. Designated temperature measurement points included three points (hard surfaces and hard surfaces surrounded by vegetation and planted green spaces) in each park. An analysis utilizing SPSS and the RayMan program revealed that parks with a softscape to hardscape ratio of approximately two to one experienced temperature reductions of 2.5 to 3 °C. Furthermore, the findings indicate that coniferous trees have a more significant impact on thermal comfort compared to deciduous trees. The significant differences identified in this study underscore essential considerations for urban design processes aimed at achieving sustainability. Full article

Background: Immersive virtual reality (IVR) serves as a promising tool to provide adolescents with enriched social experience due to its high-fidelity simulations and multimodal interaction. This study aims to design and develop a multi-user IVR collaborative game utilizing simultaneous localization and mapping (SLAM)-based inside-out tracking technique to foster social experience among students. Also, this study explored the mechanism by which technology acceptance affected social experience in the IVR collaboration game, focusing on the mediating effects of presence, collective efficacy, and group effectiveness, as well as the moderating effect of social–emotional competence (SEC). Methods: A total of 104 seventh graders from a middle school in Central China participated in this study and completed the questionnaire. Finally, 87 valid questionnaire responses were retrieved. Results: The results revealed that technology acceptance both directly and indirectly influenced social experience. The mediation analysis revealed a key pathway influencing social experience: technology acceptance → presence → collective efficacy → group effectiveness → social experience. However, no moderating effect of SEC was found in the relationship between technology acceptance and social experience, group effectiveness, and social experience. Conclusions: Based on these results, more appropriate IVR interventions could be developed for social–emotional learning among children and adolescents. Full article

Mink farming has seen a resurgence in Bulgaria since 2013, and this has led to a high risk of American mink escaping and establishing feral populations. The largest active commercial farm in the country has a capacity of nearly 130,000 animals. The aims of this study were to gather first-hand evidence of the presence of mink in the wild around the farm, assess their level of establishment, and document the native species and local communities for future impact assessment. Surveys were conducted using camera traps within a 3.7 km radius around the farm in the period 2020–2021 at ten stations with 1943 realised trap-nights. Some early signs of the establishment of the American mink in Bulgaria were documented. A large number of registrations was made, as frequently as the Eurasian otter and golden jackal and more frequently than other mustelids in the study area. Mink were observed throughout the two-year study, and escaped mink have been registered in the region as early as 2017. These factors are interpreted as signs of the early stages of establishment. When considering environmental, economic, public health, and social factors, we recommend that mink farming should be banned in Bulgaria and further monitoring and management actions must be undertaken for the individuals in the wild. Full article

The absence of female writing forms a particularly striking gap in the historiography of German-language literature in the Czech Lands during the decades around 1900. Women participated significantly in the literary scene of the period but were largely forgotten. Our article will discuss the conditions and discourses that enabled women to be active in the public space but later led to their absence in literary history. Approaches are sought that make future inclusion possible again. The first step for (re-)establishing a female presence in this area is to reconstruct biographies with a focus on female-specific social realities at the time and on the interaction of cultural, social and historical factors. In the next step, attention is brought to the “minor” or “simple”, rather non-canonical literary genres that were often used by women authors at the fin de siècle. Full article

The advancement of social media has led to the rise of influencers who are powerful in shaping consumer purchasing behavior. While influencer attributes play a role in shaping consumer behavior, little attention has been paid to the interplay of the attributes of social presence, influencer congruence with the endorsed brand, and purchasing intention. Thus, the current study investigates the effect of social presence and influencer congruence on purchase intention through consumer brand co-creation behavior. A survey approach was used to collect data from consumers who actively interact with at least one social media influencer in Tanzania. Using a sample size of 422, PLS-SEM was applied to test the hypotheses. The results showed that social presence and congruence affected consumer brand co-creation behavior, which subsequently affected purchase intention. Unlike influencer congruence, the social presence of the influencer did not directly affect purchase intention. Furthermore, the study holds that stimulating consumer brand co-creation behavior catalyzes the effects of social presence and influencer congruence on purchase intention. Therefore, in designing an influencer marketing campaign, selecting an influencer with social presence and congruence attribute is pivotal for the effectiveness of the influencer marketing strategy. Marketers should be relational rather than transaction-focused when designing and implementing the influencer marketing strategy. Full article