Impulse buying behavior during livestreaming: Moderating effects of scarcity persuasion and price perception.

This research aimed to identify the factors that influence impulse buying behavior during livestreaming and advance the existing literature based on a proposed conceptual framework grounded in the stimulus-organism-response (S-O-R) model. We also tested the moderating effects of price perception and scarcity persuasion. An online self-administered questionnaire was used to collect data from 837 Chinese participants aged over 18 years. The data were analyzed using partial least squares structural equation modeling using Smart-PLS version 4.0. The findings showed that susceptibility to social influence, impulse buying tendency, cognitive reactions, affective reactions, and the urge to buy impulsively are statistically significant predictors of impulse buying during livestreaming, with price perception and scarcity persuasion as moderators. The study expands the S-O-R model for livestreaming impulse buying in e-commerce context, highlighting its multifaceted nature and revealing the mediating role of Urge to Buy Impulsively in translating cognitive and emotional factors into impulse buying behavior. These insights offer practical guidance for marketers to design tailored strategies that leverage psychological triggers and external cues to enhance consumer engagement and encourage desired behaviors, ultimately leading to more effective marketing campaigns and improved consumer experiences.

Measuring the psychosocial impact of COVID-19 by means of the "international student well-being study questionnaire": Evidence on Italian university students.

Background: The COVID-19 pandemic appeared as an unpredictable disruption of daily activities. This situation produced a unique mental health impact for the general population, youth, and vulnerable groups. A documented consequence has been alcohol abuse and impaired mental health. To our knowledge, no published study has yet evaluated the rates of depressive symptoms, academic frustration, and substance abuse in the Italian student population in the COVID era linking them to sociodemographic variables. Aims: To investigate the incidence of depressive symptoms, academic frustration, and substance abuse students developed in one university in Northern Italy during the first COVID-19 outbreak, using a student wellbeing framework borrowed from Allardt's and Bronfenbrenner's theories. Methods: Descriptive statistics, correlations, Wilcoxon test and factorial ANOVA were performed on data gathered through an online questionnaire sent to a convenience sample of university students. Data collection occurred between 18 May and June 21, 2020. Results: According to the framework used, Being was the dimension of sociodemographic variables, Having was economic support and Loving was social support. Students experienced academic frustration and related depressive symptoms. Male gender seemed to be less affected by the depressive syndrome. With regard to economic support and related repercussions on depressive symptoms, students who reported that they could not obtain a loan showed significantly higher depressive symptoms. Students benefiting from greater financial support showed less academic frustration. Age appeared to be a predictor of academic frustration since young students proved to be the most frustrated. The examined students' population showed a significant decrease in alcohol and cigarettes consumption. Conclusions: Having and Being dimensions influenced depression and academic frustration. Having and Loving dimensions were related with use of substances. The study findings support the implementation of interventions to help students, at a psychological, social, financial level aiming at fostering the quality of students' educational life.

Factors influencing the intention to purchase health insurance: a study of Indian tobacco and alcohol consumers.

Introduction: This study empirically investigates the attitude of tobacco and alcohol consumers towards health insurance purchase in India. The study aims to determine the factors which plays a significant role in determining the purchase intention of health insurance among tobacco and alcohol consumers. Methods: We propose an extended theory of planned behavior (TPB) model comprising factors like attitude, subjective norms, perceived behavior control, perceived usefulness, perceived product risk, and intention to purchase. We collected responses from 420 tobacco and alcohol consumers through a Google Form link shared via different social media platforms. SPSS has been used to perform exploratory factor analysis, whereas AMOS has been used to validate the constructs, confirm the relationships among the variables, and analyze the data. Results: The analysis outcomes demonstrate that subjective norms, perceived product risk, and perceived behavioral control are the factors that have a positive and significant effect on health insurance purchase intention among consumers. Discussion: This research offers valuable insights to the insurance sector, government officials, policymakers, and academicians. Insurance companies may consider the criteria analysed when creating policies to promote the expansion of the health insurance sector.

Prospective Evaluation of Dental Practitioners' Knowledge, Attitude, and Practice Toward Adult Dental Pain Management: A Cross-Sectional Multicenter Study.

Background Dental pain among adults is a prevalent concern impacting oral health and quality of life. Dental pain management presents a significant challenge for dental practitioners in effectively alleviating patient discomfort. Among the medications available, non-steroidal anti-inflammatory drugs (NSAIDs) are considered the most effective analgesics in dental care. While numerous studies have been conducted to assess the role of antibiotics in dental practice, there is a scarcity of studies specifically examining the prescription patterns of analgesics. The primary aim of this study was to evaluate the knowledge, attitudes, and practices of dental practitioners (DPs) in India concerning the management of adult dental pain. Method This survey utilized a computer-aided questionnaire-based approach. A total of 110 dentists, including 16 from metropolitan areas and 84 from non-metropolitan cities practicing at dental healthcare setups, clinics, and hospitals, were interviewed as part of the survey. The participants comprised dental professionals specializing in prosthodontics, endodontics, orthodontics, periodontics, oral surgery, pedodontics, and oral medicine. The study was conducted between September 2022 and January 2023. Results The primary reason patients seek dental consultation, as reported by 95% of dentists, is tooth cavities, followed by tooth sensitivity, post-root canal treatment, and pulpitis. All surveyed dentists prescribed NSAIDs to their patients for managing dental pain. Local anesthesia (LA) was the second choice for 75% of dentists, prescribed to 23% of their patients. The primary use of NSAIDs was for patients experiencing severe pain and to manage post-procedure pain. Eighty percent of DPs recognized ketorolac as a fast-acting molecule, providing immediate relief within 10-15 minutes. Overall, analysis indicated that 98% of DPs are satisfied and 67% are extremely satisfied with ketorolac among monotherapies for dental pain management due to its quick onset of action, fast pain relief, and usefulness in post-surgical pain management. Conclusion NSAIDs like ketorolac, diclofenac, and aceclofenac were the preferred prescriptions for overall dental pain management. Dental practitioners associated ketorolac with fast pain relief, quick onset of action, and effectiveness in post-surgical pain management, emphasizing its lasting effects. The insights from the study contribute to enhancing dental pain management strategies.

Purchase intentions for cultural heritage products in E-commerce live streaming: An ABC attitude theory analysis.

With the increasing popularity of e-commerce live streaming, understanding purchase intentions for cultural heritage products in this context is crucial, prompting the analysis based on the ABC attitude theory. This study investigates how creative products of intangible cultural heritage influence consumers' purchase intentions within the framework of e-commerce live streaming. It further explores the mediating influence of consumer satisfaction in this association, utilizing the ABC attitude theory. The research design encompasses dimensions related to creative products of intangible cultural heritage, e-customer satisfaction, and purchase intention. Confirmatory factor analysis and Structural Equation Modeling (SEM) are utilized to examine the research hypotheses. The study reveals that perceived product quality, perceived interactivity, and professionalism among streamer factors, as well as perceived entertainment among scene factors, positively influence consumer satisfaction. Additionally, intangible cultural heritage has a positive effect on consumers' purchase intention toward creative products of intangible cultural heritage. Furthermore, consumer satisfaction serves as a mediating factor in the relationship between perceived product quality, perceived professionalism and interactivity, perceived entertainment, and consumers' purchase intention. This study is limited to creative products of intangible cultural heritage and involved a relatively small sample size. Moreover, certain perceptual dimensions of e-commerce live streaming were excluded from the analysis. Originality/value - This study contributes to the existing literature on the ABC theory by developing a model that examines consumer satisfaction and purchase intention. The model employed in this study integrates perceptual dimensions pertaining to creative products of intangible cultural heritage within the framework of e-commerce live streaming, utilizing the ABC theory. Additionally, this research contributes to addressing a gap in the existing literature by specifically focusing on the category of creative products of intangible cultural heritage within the broader discourse on dimensions in e-commerce live streaming. Thus, this study presents numerous diverse perspectives that can serve as a basis for further research into the integration of e-commerce live streaming and cultural and creative products associated with intangible cultural heritage.

Physicochemical properties, pharmacokinetic studies, DFT approach, and antioxidant activity of nitro and chloro indolinone derivatives.

The process of developing of new drugs is greatly hampered by their inadequate physicochemical, pharmacokinetic, and intrinsic characteristics. In this regard, the selected chloro indolinone, (Z)-6-chloro-3-(2-chlorobenzylidene)indolin-2-one (C1), and nitro indolinone, (Z)-6-chloro-3-(2-nitrobenzylidene)indolin-2-one (C2), were subjected to SwissADME and density function theory (DFT) analysis. For compounds C1 and C2, the BOILED-Egg pharmacokinetic model predicted intestinal absorption, blood-brain barrier (BBB) penetration, and p-glycoprotein interaction. According to the physicochemical analysis, C1 has exceptional drug-like characteristics suitable for oral absorption. Despite only being substrates for some of the major CYP 450 isoforms, compounds C1 and C2 were anticipated to have strong plasma protein binding and efficient distribution and block these isoforms. The DFT study using the B3LYP/6-311G(d,p) approach with implicit water effects was performed to assess the structural features, electronic properties, and global reactivity parameters (GRP) of C1 and C2. The DFT results provided further support for other studies, implying that C2 is more water-soluble than C1 and that both compounds can form hydrogen bonds and (weak) dispersion interactions with other molecules, such as solvents and biomolecules. Furthermore, the GRP study suggested that C1 should be more stable and less reactive than C2. A concentration-dependent 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging activity was shown by both C1 and C2. In brief, this finding has provided a strong foundation to explore further the therapeutic potential of these molecules against a variety of human disorders.

Through the Eye of a Needle: Understanding the Identities of LGBTQ+ Teachers Within Catholic Institutions in the Philippines.

The pervasive Catholic culture permeates through the social fabric of the Philippines and exerts unique pressures on Filipinos. This study highlighted the unique experiences of Filipino LGBTQ+ educators of private Catholic schools. Using the grounded theory approach, seven participants who identified as LGBTQ+ and taught in private Catholic schools in the Philippines for a minimum of one year were interviewed. Semi-structured interviews with the participants illustrated that these LGBTQ+ educators had to contend with negotiating their identities while carefully navigating through their work environment. This yielded three key themes: (1) Recognizing the political dimension of private schools, (2) Threading the Needle, and (3) Obtaining and Optimizing Safe Spaces. As a result, the Constricting Contexts Model was proposed to better understand and contextualize such factors and emphasize the role that environments and expectations play into the identities of marginalized groups such as the LGBTQ+ community.

Introducing the revised framework for developing and evaluating complex interventions: A challenge and a resource for nursing research.

This invited discussion paper highlights key updates in the MRC/NIHR's revised framework for the development and evaluation of complex nursing interventions and reflects on the implications for nursing research.

Using the common-sense model of illness representations to explore individuals' experiences and perceptions of migraine and its management in the United Kingdom.

OBJECTIVES: Migraine is considered a chronic health condition that impacts both quality of life and psychological wellbeing. People with migraines use a range of management strategies, which include pharmacological and non-pharmacological treatments. The aim of this study was to explore individuals' experiences and perceptions of migraines and its treatment using the Common-Sense Model (CSM) of Illness Representations. METHODS: Semi-structured, one-to-one interviews were conducted with eleven individuals with a history of migraine to explore their experiences and perceptions of migraine and its treatment. Participants were recruited from across the United Kingdom via convenience sampling using social media advertisement. Interviews were recorded, transcribed verbatim, and qualitative data were analysed using theoretical framework analysis using the CSM. RESULTS: The three dimensions of the CSM were mapped on to the qualitative data. These were: (i) Cognitive representations of migraine, within five domains: (a) identity of migraine, (b) perceived causes, (c) perceived timeline, (d) perceived control/cure, and (e) perceived consequences; (ii) Emotional representations of migraine relating to (a) migraine specific emotions and (b) emotional representation of the impact of migraine; and (iii) Coping/self-management behaviours, namely (a) self-medicating behaviours and (b) care-seeking behaviours. No incongruous data were found; therefore, no further thematic analysis was required. CONCLUSION: This is the first study to apply the CSM to migraine for framework analysis of qualitative data in this way. The findings illustrate the emotional impact of migraine and the range of illness perceptions associated with appropriate self-management. The data will be used to design a questionnaire for quantitative studies to investigate the extent to which these perceptions are generalizable to the wider population of people who experience migraines.

The chymistry of rainbows, winds, lightning, heat and cold in Paracelsus.

Meteorology is not one of the most discussed topics in Paracelsus studies, although it is closely linked to both Paracelsus' medicine and cosmology. Furthermore, it appears to be at the very core of Paracelsus' famous matter theory of three chymical principles, mercury, sulphur and salt, known as the tria prima. By discussing prominent examples of Paracelsus' explanations on how the tria prima operate within the stars, this article shows how the Swiss physician conceived meteorology within his own body of knowledge, obviously constructed in opposition to the Aristotelian-scholastic tradition, how he based it on a peculiar interpretation of the Biblical creation story, and made it the proper laboratory of his chymical matter theory, applying it first systematically to the field of natural philosophy, especially to celestial phenomena, even before using it for his medical theory in his later writings.

Efficient Corrections for Standardized Person-Fit Statistics.

Many popular person-fit statistics belong to the class of standardized person-fit statistics, T, and are assumed to have a standard normal null distribution. However, in practice, this assumption is incorrect since T is computed using (a) an estimated ability parameter and (b) a finite number of items. Snijders (Psychometrika 66(3):331-342, 2001) developed mean and variance corrections for T to account for the use of an estimated ability parameter. Bedrick (Psychometrika 62(2):191-199, 1997) and Molenaar and Hoijtink (Psychometrika 55(1):75-106, 1990) developed skewness corrections for T to account for the use of a finite number of items. In this paper, we combine these two lines of research and propose three new corrections for T that simultaneously account for the use of an estimated ability parameter and the use of a finite number of items. The new corrections are efficient in that they only require the analysis of the original data set and do not require the simulation or analysis of any additional data sets. We conducted a detailed simulation study and found that the new corrections are able to control the Type I error rate while also maintaining reasonable levels of power. A real data example is also included.

Uncovering the determinants of brain functioning, behavior and their interplay in the light of context.

Notwithstanding the huge progress in molecular and cellular neuroscience, our ability to understand the brain and develop effective treatments promoting mental health is still limited. This can be partially ascribed to the reductionist, deterministic and mechanistic approaches in neuroscience that struggle with the complexity of the central nervous system. Here, I introduce the Context theory of constrained systems proposing a novel role of contextual factors and genetic, molecular and neural substrates in determining brain functioning and behavior. This theory entails key conceptual implications. First, context is the main driver of behavior and mental states. Second, substrates, from genes to brain areas, have no direct causal link to complex behavioral responses as they can be combined in multiple ways to produce the same response and different responses can impinge on the same substrates. Third, context and biological substrates play distinct roles in determining behavior: context drives behavior, substrates constrain the behavioral repertoire that can be implemented. Fourth, since behavior is the interface between the central nervous system and the environment, it is a privileged level of control and orchestration of brain functioning. Such implications are illustrated through the Kitchen metaphor of the brain. This theoretical framework calls for the revision of key concepts in neuroscience and psychiatry, including causality, specificity and individuality. Moreover, at the clinical level, it proposes treatments inducing behavioral changes through contextual interventions as having the highest impact to reorganize the complexity of the human mind and to achieve a long-lasting improvement in mental health.

Spin Effect to Regulate the Electronic Structure of Ir─Fe Aerogels for Efficient Acidic Water Oxidation.

"Spin" has been recently reported as an important degree of electronic freedom to promote catalysis, yet how it influences electronic structure remains unexplored. This work reports the spin-induced orbital hybridization in Ir─Fe bimetallic aerogels, where the electronic structure of Ir sites is effectively regulated by tuning the spin property of Fe atoms. The spin-optimized electronic structure boosts oxygen evolution reaction (OER) electrocatalysis in acidic media, resulting in a largely improved catalytic performance with an overpotential of as low as 236 mV at 10 mA cm-2. Furthermore, the gelation kinetics for the aerogel synthesis is improved by an order of magnitude based on the introduction of a magnetic field. Density functional theory calculation reveals that the increased magnetic moment of Fe (3d orbital) changes the d-band structure (i.e., the d-band center and bandwidth) of Ir (5d orbital) via orbital hybridization, resulting in optimized binding of reaction intermediates. This strategy builds the bridge between the electron spin theory with the d-band theory and provides a new way for the design of high-performance electrocatalysts by using spin-induced orbital interaction.

Investigation of second-order NLO properties of novel 1,3,4-oxadiazole derivatives: a DFT study.

CONTEXT: In this study, we have developed four new chromophores (TM1-TM4) and performed quantum chemical calculations to explore their nonlinear optical properties. Our focus was on understanding the impact of electron-donating substituents on 1,3,4-oxadiazole derivative chromophores. The natural bond orbital analysis confirmed the interactions between donors and acceptors as well as provided insights into intramolecular charge transfer. We also estimated dipole moment, linear polarizability molecular electrostatic potential, UV-visible spectra, and first hyperpolarizability. Our results revealed that TM1 with a strong and stable electron-donating group exhibited high first hyperpolarizability (ß) 293,679.0178 × 10-34 esu. Additionally, TM1 exhibited a dipolar moment (µ) of 5.66 Debye and polarizability (α) of 110.62 × 10-24 esu when measured in dimethyl sulfoxide (DMSO) solvent. Furthermore, in a benzene solvent, TM1 showed a low energy band gap of 5.33 eV by using the ωB97XD functional with a 6-311 + + G(d, p) basis set. Moreover, our study of intramolecular charge transfers highlighted N, N dimethyl triphenylamine and carbazole as major electron-donating groups among the four 1,3,4-oxadiazole derivative chromophores. This research illustrates the potential applications of these organic molecules in photonics due to their versatile nature. METHODS: The molecules were individually optimized using different functionals, including APFD, B3LYP, CAM B3LYP, and ωB97XD combined with the 6-311 + + G (d, p) basis set in Gaussian 16 software. These methods encompass long-range functionals such as APFD and B3LYP, along with long-range corrected functionals like CAM B3LYP and ωB97XD. The employed functionals of APFD, B3LYP, CAM B3LYP, and ωB97XD with the 6-311 + + G (d,p) basis set were used to extract various properties such as geometrical structures, dipole moment, molecular electrostatic potential, and first hyperpolarizability through precise density functional theory (DFT). Additionally, TD-DFT was utilized for obtaining UV-visible spectra. All studies have been conducted in both gas and solvent phases.

Comparative study of plaque surface temperature and blood heat transfer in a stenosed blood vessel with different symmetrical configurations.

The presence of macrophage cells inside plaque can lead to a change in plaque temperature, which can be measured by using arterial wall thermographic techniques to predict the severity of stenosis in the vessel without complicated surgery. This study aims to analyze the effect of plaque symmetricity with a similar degree of stenosis (DOS) on plaque surface temperature and blood heat transfer in a straight vessel. This analysis aims towards predicting the severity of stenosis in a straight blood vessel through plaque temperature as an indicator. Two cases are being analyzed here; case 1 and case 2 refer to having similar vessel dimensions and an overall degree of stenosis (DOS) of 70%, with the exception of case 1 having a symmetrically developed plaque while case 2 refers to an asymmetrically developed plaque. Euler-Euler multiphase method with the application of the granular model is being applied in this study. At peak systole (0.2 s into the 10th cardiac cycle) in a cardiac cycle, the increase in plaque surface temperature at exit is higher in case of a symmetrically developed stenosis compared to an asymmetric one but the reverse situation happens during end systole (0.5 s into the 10th cardiac cycle). Although the population of macrophages in a plaque is a deciding factor of the thermal signature of a plaque, the symmetricity variation also needs to be taken into consideration while plaque progression is being diagnosed through thermographic technique.

Absorption spectra of p-nitroaniline derivatives: charge transfer effects and the role of substituents.

CONTEXT: Push-pull compounds are model systems and have numerous applications. By changing their substituents, properties are modified and new molecules for different applications can be designed. The work investigates the gas-phase electronic absorption spectra of 15 derivatives of push-pull para-nitroaniline (pNA). This molecule has applications in pharmaceuticals, azo dyes, corrosion inhibitors, and optoelectronics. Both electron-donor and electron-withdrawing groups were investigated. Employing machine learning-derived Hammett's constants σm, σm0, σR, and σI, correlations between substituents and electronic properties were obtained. Overall, the σm0 constants presented the best correlation with HOMO and LUMO energies, whereas the σR constants best agreed with the transition energy of the first band and HOMO-LUMO energy gap. Electron-donors, which have lower σR values, redshift the absorption spectrum and reduce the HOMO-LUMO energy gap. Conversely, electron-withdrawing groups (higher σR's) blueshift the spectrum and increase the energy gap. The second band maximum energies, studied here for the first time, showed no correlation with σ but tended to increase with σ. A comprehensive charge transfer (CT) analysis of the main transition of all systems was also carried out. We found that donors (lower σ's) slightly enhance the CT character of the unsubstituted pNA, whereas acceptors (higher σ's) decrease it, leading to increased local excitations within the aromatic ring. The overall CT variation is not large, except for pNA-SO2H, which considerably decreases the total CT value. We found that the strong electron donors pNA-OH, pNA-OCH3, and pNA-NH2, which have the smallest HOMO-LUMO energy gaps and lowest σ's, have potential for optoelectronic applications. The results show that none of the studied molecules is fluorescent in the gas phase. However, pNA-NH2 and pNA-COOH in cyclohexane and water reveal fluorescence upon solvation. METHODS: We investigated theoretically employing the second-order algebraic diagrammatic construction (ADC(2)) ab initio wave function and time-dependent density functional theory (TDDFT) the gas-phase electronic absorption spectra of 15 derivatives of p-nitroaniline (pNA). The investigated substituents include both electron-donor (C6H5, CCH, CH3, NH2, OCH3, and OH,) and electron-withdrawing (Br, CCl3, CF3, Cl, CN, COOH, F, NO2, and SO2H) substituents.

Computation of expected values of some connectivity based topological descriptors of random cyclooctane chains.

Cyclooctane is a cycloalkane consisting of carbon and hydrogen atoms arranged in a closed ring structure. Cyclooctane chains can be found in various organic compounds and are significant in the field of organic chemistry due to their diverse reactivity and properties. The atom-bond connectivity index ( A B C ), the geometric-arithmetic index ( G A ), the arithmetic-geometric index ( A G ) and the forgotten index ( F ) are four well-studied molecular descriptors that have found applications in QSPR and QSAR studies. These topological descriptors have shown significant correlations with different physiochemical properties of octane isomers. In this work, the expected values of four degree based topological descriptors for random cyclooctane chains are calculated. An analytical comparison is given between the expected values of A B C , G A , A G , and F indices of random cyclooctane chains.

Electrophysiological analysis of signal detection outcomes emphasizes the role of decisional factors in recognition memory.

Introduction: Event-related potential (ERP) studies have identified two time windows associated with recognition memory and interpreted them as reflecting two processes: familiarity and recollection. However, using relatively simple stimuli and achieving high recognition rates, most studies focused on hits and correct rejections. This leaves out some information (misses and false alarms) that according to Signal Detection Theory (SDT) is necessary to understand signal processing. Methods: We used a difficult visual recognition task with colored pictures of different categories to obtain enough of the four possible SDT outcomes and analyzed them with modern ERP methods. Results: Non-parametric analysis of these outcomes identified a single time window (470 to 670 ms) which reflected activity within fronto-central and posterior-left clusters of electrodes, indicating differential processing. The posterior-left cluster significantly distinguished all STD outcomes. The fronto-central cluster only distinguished ERPs according to the subject's response: yes vs. no. Additionally, only electrophysiological activity within the posterior-left cluster correlated with the discrimination index (d'). Discussion: We show that when all SDT outcomes are examined, ERPs of recognition memory reflect a single-time window that may reveal a bottom-up factor discriminating the history of items (i.e. memory strength), as well as a top-down factor indicating participants' decision.

Multiple Object Tracking Without Pre-attentive Indexing.

Multiple object tracking (MOT) involves simultaneous tracking of a certain number of target objects amongst a larger set of objects as they all move unpredictably over time. The prevalent explanation for successful target tracking by humans in MOT involving visually identical objects is based on the Visual Indexing Theory. This assumes that each target is indexed by a pointer using a non-conceptual mechanism to maintain an object's identity even as its properties change over time. Thus, successful tracking requires successful indexing and the absence of identification errors. Identity maintenance and successful tracking are measured in terms of identification (ID) and tracking accuracy respectively, with higher accuracy indicating better identity maintenance or better tracking. Existing evidence suggests that humans have high tracking accuracy despite poor identification accuracy, suggesting that it might be possible to perform MOT without indexing. Our work adds to existing evidence for this position through two experiments, and presents a computational model of multiple object tracking that does not require indexes. Our empirical results show that identification accuracy is aligned with tracking accuracy in humans for tracking up to three, but is lower when tracking more objects. Our computational model of MOT without indexing accounts for several empirical tracking accuracy patterns shown in earlier studies, reproduces the dissociation between tracking and identification accuracy produced earlier in the literature as well as in our experiments, and makes several novel predictions.

Managing long COVID symptoms and accessing health services in Brazil: A grounded theory analysis.

Background: The worldwide community has shown significant interest in researching the management of Long COVID. However, there is scarce evidence about the daily experiences of people living with Long COVID and their insights into the healthcare services provided to them. Aims: This study aims to understand the experience of Long COVID sufferers with their symptoms and in accessing health services. Method: We employed Charmaz's grounded theory methodology, informed by constructivism, and applied the COREQ guidelines for qualitative research. Sixty-six Brazilians living with Long COVID participated in the study. The data was collected using semi-structured telephone interviews and analyzed using a constant comparative process. Findings: The findings refer firstly to the consequences of persistent Long COVID symptoms. Secondly, they describe how the disease trajectory required Long COVID sufferers to reorganize their routines and develop adaptive strategies. Lastly, they reflect a diverse array of both positive and negative interactions inside the healthcare system conveyed by individuals suffering from Long COVID. These elements converge towards the core category of the study: "The limbo of Long COVID sufferers: between the persistence of symptoms and access to health services". Conclusions: Long COVID is characterized by its varied nature, including a range of physical and emotional repercussions experienced by individuals. There is a need for enhanced comprehension and discourse about Long COVID across several domains, including the general public, policy-making entities, and healthcare professionals. In this sense, the development of specialized services or the reinforcement of existing services to support long COVID sufferers is imperative.