Weak Relationship Research Articles

A Tale of Two Economies: Diachronic Comparative Analysis of Diverging Paths of Growth and Inequality in the United States and the United Kingdom

This study investigates the correlation between the Gini index and gross domestic product (GDP) in two of the world’s largest capitalist economies: the United States and the United Kingdom. Utilizing econometric methods, including stationarity tests and linear regression, this research work aims to elucidate the relationship between economic inequality and economic growth. The results for the United States reveal a significant positive correlation between GDP and the Gini index, suggesting that economic growth is associated with rising income inequality. In contrast, the United Kingdom shows a much weaker relationship, indicating that other factors, such as redistributive policies and social welfare programs, may mitigate the impact of economic growth on income inequality. These findings highlight the importance of national policies and institutional frameworks in shaping economic outcomes and can be used in policy making. This study contributes to the existing literature by providing a comparative analysis of the correlation between GDP and the Gini index in two major capitalist economies, offering fresh empirical insights.

Nutritional condition drives spatial variation in physiology of Antarctic lipid-storing copepods.

Lipid-rich copepods form an essential link between primary producers and higher trophic levels in high-latitude oceans. These zooplankton can take advantage of ephemeral phytoplankton blooms to fuel development and reproduction. However, we have limited understanding of how the physiological condition of these animals varies in relation to environmental factors such as food availability. Due to high advection, it is likely that physiological plasticity, rather than local adaptation, is primarily responsible for physiological differences within a region. We use transcriptomics and other physiological metrics to understand how two species of copepods (Calanoides acutus and Calanus propinquus) vary across environmental gradients along the West Antarctic Peninsula. For the primarily herbivorous C. acutus, physiological separation between sampling locations appears to be driven by feeding status, and gene expression differences indicate differential expression of genes regulating lipid metabolism, reproduction, aerobic metabolism, and protein translation. For the more omnivorous C. propinquus, physiology and gene expression did not segregate as clearly by location, showed minimal signs of food deprivation at any location, and had a weaker relationship with chlorophyll compared to C. acutus. By comparing these results with concurrent starvation experiments, we find that spatial variation in gene expression reflects short-term differences in food availability (particularly for C. acutus), and we identify genes whose expression indicates recent feeding status. Further examination of the relationships between food availability, copepod physiology, and population dynamics will ultimately improve our capacity to predict how copepod populations will respond to rapidly changing environmental conditions in the West Antarctic Peninsula ecosystem.

Mandibular shape and diet in extant primates: a 3D geometric morphometric analysis.

Establishing a link between mandibular morphology and diet in extant primates has long been a goal in biological anthropology because it should provide important insight into the diets of extinct primates, including fossil hominins. To date, efforts to explore this question have produced mixed results, largely perhaps due to a reliance on the use of 2D morphological data. Here, we report a study where we investigated whether 3D shape data would provide a clearer picture. We used geometric morphometrics to analyse 3D mandibular shape variation in a sample of > 200 primate specimens, representing individuals from 27 species and five families. Two sets of analyses investigated i) whether there was a relationship between mandibular shape and four standard dietary categories and ii) whether there was a relationship between mandibular shape and a well-known index of diet quality. We found an association between mandibular shape and the dietary categories when we employed raw Procrustes coordinates and allometry-free residuals, but the relationship was weak to non-existent when the effects of phylogeny were taken into account. We found no relationship between shape and the diet quality index, no matter whether the data were raw, corrected for the effects of allometry, corrected for the effects of phylogeny, or corrected for the effects of both allometry and phylogeny. Taken together, the results of the two sets of analyses suggest that there is a weak relationship between 3D mandibular shape and diet in extant primates. Allometry and phylogeny appear to be more important influences on the 3D shape of extant primate mandibles than is diet. We conclude from this that 3D analysis of mandibular shape is unlikely to further illuminate the diets of extinct primates, and research efforts should, therefore, be directed elsewhere.

Spatiotemporal and Multilayer Trade Network Patterns of the Global Cobalt Cycle.

Recent years have witnessed increasing attempts to track trade flows of critical materials across world regions and along the life cycle for renewable energy and the low carbon transition. Previous studies often had limited spatiotemporal coverage, excluded end-use products, and modeled different life cycle stages as single-layer networks. Here, we integrated material flow analysis and complex network analysis into a multilayer framework to characterize the spatiotemporal and multilayer trade network patterns of the global cobalt cycle from 1988 to 2020. We found substantial growth and notable structural changes in global cobalt trade over the past 30 years. China, Germany, and the United States play pivotal roles in different layers and stages of the global cobalt cycle. The interlayer relationships among alloys, batteries, and materials are robust and continually strengthening, indicating a trend toward synergistic trade. However, cobalt ore-exporting countries are highly concentrated and rarely involved in later life cycle stages, resulting in the weakest relationship between the ore layer and other layers. This causes fluctuations and uncertainty in the global cobalt trade. Our model, linking industrial ecology, supply chain analysis, and network analysis, can be extended to other materials that are critical for the future green transition.

Multi-site phantomless bone mineral density from clinical quantitative computed tomography in males.

Volumetric bone mineral density (vBMD) is commonly assessed using QCT. Although standard vBMD calculation methods require phantom rods that may not be available, internal-reference phantomless (IPL) and direct measurements of Hounsfield units (HU) can be used to calculate vBMD in their absence. Yet, neither approach has been systemically assessed across skeletal sites, and HU need further validation as a vBMD proxy. This study evaluated the accuracy of phantomless methods, including IPL and regression-based phantomless (RPL) calibration using HU to calculate vBMD, compared to phantom-based (PB) methods. vBMD from QCT scans of 100 male post-mortem human subjects (PMHS) was calculated using site-specific PB calibration at multiple skeletal sites throughout the body. A development sample of 50/100 PMHS was used to determine site-specific reference material density for IPL calibration and RPL equations. Reference densities and equations from the development sample were used to calculate IPL and RPL vBMD on the remaining 50/100 PMHS for method validation. PB and IPL/RPL vBMD were not significantly different (p > .05). Univariate regressions between PB and IPL/RPL vBMD were universally significant (p < 0.05), except for IPL Rad-30 (p = 0.078), with a percent difference across all sites of 6.97% ± 5.95% and 5.22% ± 4.59% between PB and IPL/RPL vBMD, respectively. As vBMD increased, there were weaker relationships and larger differences between PB vBMD and IPL/RPL vBMD. IPL and RPL vBMD had strong relationships with PB vBMD across sites (R2 = 97.99, R2 = 99.17%, respectively), but larger residual differences were found for IPL vBMD. As the accuracy of IPL/RPL vBMD varied between sites, phantomless methods should be site-specific to provide values more comparable to PB vBMD. Overall, this study suggests that RPL calibration may better represent PB vBMD compared to IPL calibration, increases the utility of opportunistic QCT, and provides insight into bone quality and fracture risk.

Emotional Eating on Sedentary Workers: Is It Caused by Individual Characteristics, Exercise Habits, and Work Stress?

Introduction:Emotional eating is a person's response to stress or inadequate and ineffective stress coping and is shown by the behavior of eating more than needed and is associated with increased body weight. Emotional eating is caused by age, gender, exercise habits, and work stress. Based on the observations carried out at Kalla Group Office, employees tend to work in a monotonous and static manner that has the potential to increase the risk of emotional eating. The aim of this research is to determine the strength and weakness of the correlation between age, gender, exercise habits, and work stress with emotional eating in Kalla Head Office workers. Methods: This quantitative research was carried out through analytical observational design. The number of samples taken is 133 people using purposive sampling. In this case, the independent variables measured are age, gender, exercise habits, and work stress. Meanwhile, the dependent variable studied is the level of emotional eating using "The Dutch Eating Behavior Questionnaire of 13 items (DEBQ-13)". Data were further analyzed using Spearman correlation coefficient test (Spearman rho). Results: The research results show varied relationship with the independent variables including age (r = 0.052), gender (r = 0.251), exercise habits (r = -0.128), and stress (r = 0.048). Conclusion: Age is a variable that has the weakest relationship, while gender has the strongest relationship with emotional eating compared to the variables exercise habits and work stress.

A bibliometric analysis of B Corps and sustainable business ecosystems

AbstractComprehending the state of the art of certified B Corps and sustainable business ecosystems (SBE) is crucial to affirming the role of B Corps in SBE development. The aim of this paper is to systematise the scientific knowledge related to both concepts and explore the role and contributions of these enterprises in the SBE. To date, no study has jointly carried out a bibliometric analysis and discussed the state of the art of B Corps and SBEs in management literature. A sample of 696 research documents from 2006 to 2024, extracted from the Web of Science and Scopus databases, has been analysed. The results show a strong relationship with the stakeholder and circular economy theories and a weaker relationship with the institutional theory, among others. The SBE literature is closely connected to sustainable and innovation business models, social entrepreneurship, and it is especially associated with social and environmental impact.

Faculty Support as Part of Faculty Strategy on the Academic Motivation of the Working Students

Working students are an important and diverse category within today’s higher education institutions. Part of the strategies necessary for the academic motivation of working students and implicitly the increase of their performance concerns a series of strategies that involve individual, institutional and structural factors. This study investigates the relationship between working students perceptions of faculty support and their overall level of academic motivation (intrinsic motivation, extrinsic motivation or amotivation) grounded in self-determination theory. The findings indicated that there is a significant positive correlation between faculty support and the overall level of students’ academic motivation. At the same time, the results show that both psychological and functional support, as indicators of faculty support, have strong relationships with different types of academic motivation. In this sense, our results indicate that faculty support for working students has a strong positive relationship with students’ intrinsic academic motivation and respectively a weaker relationship with academic amotivation. These results show that any policy or strategy adopted by faculty decision-makers to help working students improve their academic motivation (performance) must include the provision of support on different dimensions (social, psychological and functional).

Type II radio bursts and space weather phenomena: A statistical study

In this paper, we present for the first time a comprehensive statistical study between type II radio bursts from the metric (m) to the dekameric–hectometric (DH) domain and their associated solar and space weather (SW) phenomena, namely, solar flares (SFs), sunspot (SN) configurations, filament eruptions, coronal mass ejections (CMEs), their interplanetary (IP) counterparts (ICMEs) and shocks, in situ detected particles and geomagnetic storms (GSs). The m-only and m + DH radio signatures are identified from dynamic spectra provided by the ground-based RSTN stations distributed over the globe together with Wind/WAVES satellite data. The DH-only type IIs are adopted from a ready catalog based on Wind/WAVES spacecraft data. We perform the temporal and spatial association between the radio emission and the listed above activity events during solar cycle (SC) 24, separately for the three sub-categories, m-only, m + DH and DH-only type IIs. A quantitative assessment on the occurrence rates is presented as a function of the strength of the specific SW phenomena: highest rates are obtained with CMEs, SFs, filament eruptions, and SN configurations, whereas a much weaker relationship is found with ICMEs, IP shocks, energetic particles, and GSs. The potential of the obtained rates to be used in empirical or physics-based models for SW forecasting is discussed.

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis.

The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians. This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland. A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis. The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians. Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

Danggui Sini Decoction normalizes the intestinal microbiota and serum metabolite levels to treat sciatica

Ethnopharmacological relevanceDanggui Sini Decoction (DGSD), which is commonly used to treat sciatica, has been shown to have an analgesic effect, but the underlying mechanisms are unclear. Here, Danggui Sini Decoction was shown to normalize the intestinal microbiota and serum metabolite levels to exert an analgesic effect. Aim of the studyThis study aimed to elucidate the therapeutic effects of DGSD on sciatica and the underlying mechanisms involved. MethodsIn this study, we conducted chronic constriction injury (CCI) model. Mecobalamin and DGSD were administered to CCI rats. Behavioural tests were used to examine the therapeutic effects of the drugs. UHPLC was used to identify DGSD components. 16S rRNA gene sequencing analysis of the intestinal flora was used to analyse the effect of DGSD on the intestinal microbiota. UHPLC‒MS/MS was used to identify blood metabolites. KEGG pathway analysis of differentially abundant metabolites was subsequently conducted. ELISA was used to measure the serum inflammatory factor levels, and correlation analysis between the serum inflammatory factor levels and intestinal microbe abundance was conducted. PCR, western blotting, and immunohistochemical staining were used to validate the results of the KEGG pathway analysis. ResultsAfter CCI, the rats exhibited obvious thermal hyperalgesia; disruption of sciatic nerve structure; increased IL1α, SP, CCL5, and PGE2 levels; decreased IL10 levels in the blood; increased IL1β, IL6, COX2, MMP9, nNOS, and p-NF-κB levels; and decreased IL4 levels in the sciatic nerve. In addition, CCI led to increased abundances of Peptostreptococcaceae, Leuconostocaceae, Christensenellaceae, Akkermansiaceae, Staphylococcaceae, Romboutsia, Marvinbryantia, Turicibacter, Weissella, UCG-005, Christensenellaceae_R-7_group, Akkermansia, Staphylococcus, Romboutsia_ilealis, Weissella_paramesenteroides, and Akkermansia_muciniphila and decreased abundances of Lactobacillaceae, Lactobacillus, Lactobacillus_murinus, and Lactobacillus_johnsonii. Correlation analysis indicated that Turicibacter abundance was most strongly related to IL1α, PGE2, IL10, and CCL5 levels, while norank_o_Coriobacteriales abundance had the weakest relationship with SP levels. KEGG pathway analysis of the differentially abundant metabolites revealed that the ‘NF-kappa B signalling pathway’ was involved in sciatica. DGSD reduced the levels of inflammatory factors, including IL1α, SP, CCL5, PGE2, IL6, COX2, and MMP9, in the blood and sciatic nerve and inhibited nNOS and NF-κB phosphorylation. DGSD improved the abundance of probiotics, including Lactobacillus and Blautia, and lowered the abundance of harmful bacteria, including Romboutsia, Turicibacter, and Weissella. DGSD promoted the repair of the injured sciatic nerve. ConclusionsDGSD can treat sciatica by inhibiting intestinal microbiota disorders induced by CCI in rats, normalizing inflammatory factor levels, and promoting nerve repair.

Comparison of Regression Analysis and Mathematical Methods for Stature Estimation from the Upper Limb Measurements of the Modern South Indian Population

This study aimed to establish reliable mathematical and regression analysis (RA) methods for estimating stature using upper limb (UL) anthropometric parameters in the modern South Indian (MSI) population. This study was conducted on a sample size (117 men and 97 women) from the MSI population. Dead bodies within 3 hours of death were included in this study, as the study outcome is meant to apply to the dead and dismembered UL parts. Mathematical and linear RA methods were used to derive multiplication factors (MFs) and regression equations (REs) for the estimation of stature from UL measurements (arm length [AL], forearm length, palm length, and middle finger length [MFL]) and assess their prediction accuracy. A statistically significant correlation was found between UL measurements and stature, indicating their potential use for stature estimation. Both genders showed a statistically significant positive relationship between UL measurements and stature. Both MF and RA methods exhibited reasonable goodness of fit, albeit the RA method yielded a closer estimate of the actual stature than the former. The derived RE showed reasonable goodness of fit and precision in both genders, as evidenced by high R2 values and low standard errors. The RA and MF methods slightly over- and under-estimated the actual stature, respectively. The MFL and AL showed the strongest and weakest relationship with the stature. Both methods have practical significance though the precision is higher with RA methods. The MF method is simpler, as it is independent of statistical resources, while the RA method may be more useful in cases where there is a large amount of variation in the data. The outcome of this study has significant implications for the forensic and anthropology fields. The derived RE and MF provide a reliable framework for estimating stature from anthropometric measurements of dismembered UL remnants. This information can be valuable in forensic investigations, unidentified remains cases and archaeological studies.

The Relationship of Social Media with Fashion Consciousness and Consumer Buying Behavior

with Fashion Consciousness and Consumer Purchase (Buying Behavior). Students of Higher Educational institutes of Karachi were the targeted population of the study. A convenience sampling strategy was adopted for the collection of data. The proposed study uses standardized questionnaire and 300 questioners were distributed among respondents randomly and got back 262 responses. The results of the study indicated that there is a weak significant relationship between Social Media and Fashion Consciousness, so as between Social Media and Consumer Purchase Behavior. However results of the study do not align with the statement that Customers spend more than Rs. 4000 per shopping trip.

Causes and effects of sampling bias on marine Western Atlantic biodiversity knowledge

AbstractAimKnowledge gaps and sampling bias can lead to underestimations of species richness and distortions in the known distribution of species. The goal of this study is to identify potential gaps and biases in marine organisms sampling at the Western Atlantic Ocean, determine their causes and assess its effect on biodiversity metrics. We tested the potential interference of this bias with the representation of environmental conditions, potentially affecting biodiversity model predictions.LocationWestern Atlantic Ocean.MethodsThis study compiled data of marine species in online and institutional databases. The analysis of sampling effort and bias was conducted by mapping the density of records. A spatial autoregressive model (SAR) was employed to investigate the influence of accessibility as a determinant factor of the sampling bias. We tested whether the effect of the sampling bias could result from environmental bias in the samples, contrasting the environmental variables of the study area with those present in the biodiversity records. We examined the correlation between sampling effort in species richness and endemism.ResultsThe USA has the highest number of records and density of records. There was a low correlation between the vertebrates, invertebrates and algae sample density patterns. Accessibility was identified as one of the main causes of sampling bias. The analysis of environmental bias indicated that the records do not represent all conditions present in the environment. Sampling density showed a strong relationship with endemism and a weaker relationship with species richness.Main ConclusionsWe have identified a strong sampling bias related to ease of access that equally affects vertebrates, invertebrates and algae, resulting in a skewed sampling of the environmental conditions where species occur. Sampling patterns differ among the groups. The intensity of sampling effort significantly impacts measures of richness and endemism, potentially undermining the accurate recognition of real biological diversity patterns.

Scientific literacy in biology and attitudes towards science in the Chilean education system

ABSTRACT Background The development of scientific literacy in young people is seen as important in several countries. In recent decades, Chile’s educational reforms aimed at performance have led to a market-oriented funding and management system, worsening social inequality and segregation. Purpose The study looked at biology literacy and science attitudes in Chilean secondary school students, considering two aims: 1) to analyse the level of scientific literacy in biology and attitudes toward science posed by secondary school students, making comparisons by gender, age, socio-economic status (SES), and type of school; and 2) to evaluate the relationship between scientific literacy in biology and attitudes towards science. Sample 612 secondary school students in a central southern region of Chile, took part in the study. Design & Methods A quantitative method was used to analyse the students’ responses on two validated and adapted instruments; A test to measure biological knowledge (TOSLS) and Likert Scale Science-related (LSSr) to measure attitude towards science. These instruments were administered to secondary students, and descriptive and inferential analyses were conducted. Results The adapted TOSLS showed significant differences in SES, school type and slight variations by gender and age, although, no illiteracy level in biology was found among the Chilean students. The adapted LSSr showed significant differences concerning attitudes toward science were found in school type, and variations by SES and age, and gender. Also, the correlation analysis shows a weak positive relationship between scientific literacy in biology and attitudes towards science, although of moderate magnitude. Conclusion This study found that scientific literacy in biology does not necessarily impact attitudes towards science. However, SES and type of school can affect understanding and views of science and its role in society, which aligns with previous findings on social inequality in Chilean education.

Evaluation of the Effect of Compassion Fatigue on Medical Error Tendency in Intensive Care Nurses

Objective: This study was conducted to evaluate the relationship between compassion fatigue and tendency to medical errors in critical care nurses.&#x0D; Methods: This descriptive study was conducted in the intensive care units of 16 hospitals (n=420) belonging to a private health group in Turkey between December 2021 and March 2022. Data were collected using the Compassion Fatigue-Short Scale and the Tendency to Medical Error in Nursing Scale (r=-0.252). &#x0D; Results: The nurses’ mean score on the Compassion Fatigue-Short Scale was 56.20±26.77 and their mean score on the Tendency to Medical Error in Nursing Scale was 4.82±0.28. There was a statistically significant negative correlation between total scale scores.&#x0D; Conclusions: The results suggest that the nurses in this study had moderate compassion fatigue and a low tendency to medical errors. A weak relationship was observed between higher compassion fatigue and a greater tendency to medical errors. Determining the factors that cause nurses to make medical errors is crucial to enable the necessary precautions to be taken. We recommend conducting multidimensional studies to evaluate the effects of compassion fatigue on patient safety and nursing outcomes.

The Effect of Human Resource Analytics on Employee Performance

Purpose: Data analysis in human resource contributed significantly to connect data with organizational and individual performance, by providing the organization with better understanding for effectively managing employees so that business goals can be reached quickly and efficiently. Thus, the key aspect of human resource analytics is to conclusively show the impact the human resource department has on the employee and on the organization as a whole. Hence, the aim of this study is to explore the relationship between “human resource analytics” as an independent variable, “employee performance &amp; behavior”, and “organizational performance” as dependent variables, for a comparative study between profit and non-profit organizations. Methodology: This research paper is a conceptual paper aiming to explore the impact of human resource analytics on the components of employee performance and behavior and organizational performance of the profit and non-profit organizations. Findings: The results showed that there is a positive relationship between human re-source analytics and employee performance and behavior in the profit organizations, compared to a no relation between human resource analytics and employee performance and behavior in the non-profit organizations. There is a positive relationship between human resource analytics and organizational performance in the profit organizations, compared to a weak relationship between human resource analytics and organizational performance in the non-profit organizations. Practical implications: This study has confirmed that human re-source analytics are applicable in the profit Lebanese organizations, and less applicable in the non-profit Lebanese organizations.

Corporate Governance Practices and Performance of Deposit Money Banks in Nigeria

Performance of deposit money banks in Nigeria. The specific objective of the study was to critically appraise the relationship between size of board of directors, composition of board members, frequency of board meetings and return on assets of deposit money banks in Nigeria. The data were sourced through secondary sources from annual reports and accounts of sampled deposit money banks in Nigeria. The stated Null Hypotheses were tested through data analysis by using the correlation analysis as analytical tool. The research findings reveal that board size has a positive and strong relationship with return on assets while board composition has a positive but moderately strong association with return on assets. Furthermore, frequency of board meetings has a negative and very weak relationship with return on assets of deposit money banks in Nigeria. The implication of the findings is that increased board size could result in the improvement of financial performance of deposit money banks. The research found that such increase in number of members of the board will generate the desired outcome if it centers on independent nonexecutive directors with wealth of corporate governance experience, sound and profitable contacts, good and relevant education. The negative relationship with frequency of board meetings implies that banks should begin to trim down on number of board meetings as research has found that frequent meetings signal a crisis or distress situation with perceptions of going concern issues and bank failure. The study recommends that new independent non-executive professionals with critical governance and management attributes could be introduced into the board to improve the quality of decisions, earnings and general performance. Frequency of Board Meetings should be reduced to save cost and time while virtual meetings should be called more often than physical meetings as distance is no longer a barrier.

Validating part of the social media infodemic listening conceptual framework using structural equation modelling

The literature has identified various factors that promote or hinder people's intentions towards COVID-19 vaccination, and structural equation modelling (SEM) is a common approach to validate these associations. We propose a conceptual framework called social media infodemic listening (SoMeIL) for public health behaviours. Hypothesizing parameters retrieved from social media platforms can be used to infer people's intentions towards vaccination behaviours. This study preliminarily validates several components of the SoMeIL conceptual framework using SEM and Twitter data and examines the feasibility of using Twitter data in SEM research. A total of 2420 English tweets in Toronto or Ottawa, Ontario, Canada, were collected from March 8 to June 30, 2021. Confirmatory factor analysis and SEM were applied to validate the SoMeIL conceptual framework in this cross-sectional study. The results showed that sentiment scores, the log-numbers of favourites and retweets of a tweet, and the log-numbers of a user's favourites, followers, and public lists had significant direct associations with COVID-19 vaccination intention. The sentiment score of a tweet had the strongest relationship, whereas a user's number of followers had the weakest relationship with the intention of COVID-19 vaccine uptake. The findings preliminarily validate several components of the SoMeIL conceptual framework by testing associations between self-reported COVID-19 vaccination intention and sentiment scores and the log-numbers of a tweet's favourites and retweets as well as users' favourites, followers, and public lists. This study also demonstrates the feasibility of using Twitter data in SEM research. Importantly, this study preliminarily validates the use of these six components as online reaction behaviours in the SoMeIL framework to infer the self-reported COVID-19 vaccination intentions of Canadian Twitter users in two cities. This study was supported by the 2023-24 Ontario Graduate Scholarship.

Variables controlling growing season carbon dynamics in desert shrub ecosystem

Arid and semi-arid lands (drylands) are under the influence of extreme environmental conditions and cover large areas on Earth’s land surface. Determining temporal and spatial variations of the greenhouse gas and energy exchange in these ecosystems will provide a better understanding of both, the dynamics between the drylands’s surface and the atmosphere and the importance in climate change. In this study, CO2 exchanges over a shrub steppe ecosystem were determined using the Eddy Covariance method during both dry and wet growing seasons in the Gobi Desert, Mongolia. The net ecosystem exchange (NEE) was modeled using the extreme gradient boosting method (XGBOOST). Variables influencing NEE were estimated employing the SHapley Additive exPlanations algorithm (SHAP). The XGBOOST predictions demonstrated impressive results across all growing seasons, with high performance metrics (R2 = 0.821; NSE = 0.817), particularly notable during the wet season (R2 = 0.932; NSE = 0.929). The total NEE changed between 79.7 and -110.4 gC m−2 throughout the growing seasons. Especially the precipitation before the growing period has a positive impact on carbon sequestration in the shrub ecosystem in the following dry season. A high similarity was found in the patterns of daily NEE of all growing seasons and normalized difference vegetation index (NDVI), albedo, soil water content, temperature, sensible heat flux, the difference between air and soil temperature in desert shrub ecosystem. Although NDVI was the dominant factor during the wet season, there was a weaker relationship between these factors and NEE in the dry season than in the wet season.