Global Sample Research Articles

Futures, provisional sales, and earnings management in the global gold mining industry

This study investigates the impact of futures on earnings management in the gold mining industry. Using quarterly data from a global sample of gold firms between 2003 and 2019, we find evidence of income-increasing accruals and real earnings management during contango periods (when futures price exceed the current spot price). Conversely, gold firms use income-decreasing accruals and real earnings management during backwardation periods (when the current spot price exceeds the futures price). This study contributes to the literature with evidence on futures as determinants of earnings management, as well as on the process through which managers smooth earnings.

Corporate social responsibility oriented boards and triple bottom line performance: A meta‐analytic study

AbstractIn this article, we aim to investigate the effect of corporate social responsibility (CSR)‐oriented boards on triple bottom‐line (TBL) performance and whether internal corporate governance exhibits a facilitating role in achieving the sustainable development goals by enhancing the performance indicators of the TBL. Specifically, this article aims to shed light on this issue by meta‐analyzing the relationship between good governance and both social and financial performance, using a global sample to facilitate this analysis taking into account the incidence of the institutional characteristics of different countries and their impact on the relationship studied, by means of eight meta‐analyses. For this purpose, we conducted a meta‐analytic study on a sample of 289 articles published between 1997 and 2021. The results show that CSR‐oriented boards have a direct effect on corporate social performance (CSP) indicators and that their impact on financial outcomes is mediated by CSP strategies. Board size, gender diversity, and board independence present a facilitator profile of CSP, while only gender diversity enhances financial outcomes. The influence of CSR‐oriented boards is more acute in countries with greater protection for stakeholders and stronger environmental awareness.

MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm

BackgroundTrans-acting factors are of special importance in transcription regulation, which is a group of proteins that can directly or indirectly recognize or bind to the 8–12 bp core sequence of cis-acting elements and regulate the transcription efficiency of target genes. The progressive development in high-throughput chromatin capture technology (e.g., Hi-C) enables the identification of chromatin-interacting sequence groups where trans-acting DNA motif groups can be discovered. The problem difficulty lies in the combinatorial nature of DNA sequence pattern matching and its underlying sequence pattern search space. MethodHere, we propose to develop MotifHub for trans-acting DNA motif group discovery on grouped sequences. Specifically, the main approach is to develop probabilistic modeling for accommodating the stochastic nature of DNA motif patterns. ResultsBased on the modeling, we develop global sampling techniques based on EM and Gibbs sampling to address the global optimization challenge for model fitting with latent variables. The results reflect that our proposed approaches demonstrate promising performance with linear time complexities. ConclusionMotifHub is a novel algorithm considering the identification of both DNA co-binding motif groups and trans-acting TFs. Our study paves the way for identifying hub TFs of stem cell development (OCT4 and SOX2) and determining potential therapeutic targets of prostate cancer (FOXA1 and MYC). To ensure scientific reproducibility and long-term impact, its matrix-algebra-optimized source code is released at http://bioinfo.cs.cityu.edu.hk/MotifHub.

Unveiling the influence of economic complexity and economic shocks on output growth volatility: evidence from a global sample

Unveiling the influence of economic complexity and economic shocks on output growth volatility: evidence from a global sample

Recommendations for representative sampling methodologies in ballast water: A case study from the land-based test

Accurate assessment of ballast water's community composition and organism concentrations is crucial for effective management. Yet, the lack of standardized global sampling methods presents challenges to achieving this objective. Inconsistencies hinder data comparison across regions and vessels, impeding efficient ballast water treatment and discharge regulation. This study conducted land-based tests to establish suitable methodologies. For organisms ≥50 μm and ≥10 μm to <50 μm, the recommended max flow rate is 50 L/min; for <10 μm organisms, 25 L/min is advised to prevent cell damage. Sampling should cover substantial discharge durations. To ensure representation, ≥50 μm organisms require ≥1m3, while ≥10 μm to <50 μm and <10 μm organisms need 20 L. The ultimate aim is standardized methods for assessing ballast water across regions and vessel types, facilitating effective management to curb invasive species and protect aquatic ecosystems.

Metopism in adult South Africans and its relationship to frontal sinus size.

This study documents the incidences of complete and partial metopism and their possible relationship to frontal sinus volume (FSV) in a sample of modern adult black South Africans with a view to evaluating the hypothesis that metopism affects frontal sinus hypoplasia. FSV was measured from CT scans and the incidence of metopism was recorded from direct observations of dried cadaveric crania. The sex of each individual was known. Four linear cranial dimensions were used to compute a geometric mean by which to scale FSV. The incidence of partial metopism (38%) is comparable to that reported for other population samples, although there is considerable variation among these global sample frequencies. It is significantly more common in male than female South Africans. FSV in individuals with complete metopism is smaller than average but not inordinately so. On the other hand, FSV is significantly larger in individuals with partial metopism than in those that do not present with this sutural remnant. The data on FSV in individuals with and without partial metopism contradict the hypothesis that there is a relationship between partial metopism and frontal sinus hypoplasia. As such, the metopic remnant evinced by the Late Pleistocene cranium from Hofmeyr, South Africa is unlikely to be related to its very small FSV.

Peg-in-hole assembly skill imitation learning method based on ProMPs under task geometric representation.

Behavioral Cloning (BC) is a common imitation learning method which utilizes neural networks to approximate the demonstration action samples for task manipulation skill learning. However, in the real world, the demonstration trajectories from human are often sparse and imperfect, which makes it challenging to comprehensively learn directly from the demonstration action samples. Therefore, in this paper, we proposes a streamlined imitation learning method under the terse geometric representation to take good advantage of the demonstration data, and then realize the manipulation skill learning of assembly tasks. We map the demonstration trajectories into the geometric feature space. Then we align the demonstration trajectories by Dynamic Time Warping (DTW) method to get the unified data sequence so we can segment them into several time stages. The Probability Movement Primitives (ProMPs) of the demonstration trajectories are then extracted, so we can generate a lot of task trajectories to be the global strategy action samples for training the neural networks. Notalby, we regard the current state of the assembly task as the via point of the ProMPs model to get the generated trajectories, while the time point of the via point is calculated according to the probability model of the different time stages. And we get the action of the current state according to the target position of the next time state. Finally, we train the neural network to obtain the global assembly strategy by Behavioral Cloning. We applied the proposed method to the peg-in-hole assembly task in the simulation environment based on Pybullet + Gym to test its task skill learning performance. And the learned assembly strategy was also executed on a real robotic platform to verify the feasibility of the method further. According to the result of the experiment, the proposed method achieves higher success rates compared to traditional imitation learning methods while exhibiting reasonable generalization capabilities. It shows that the ProMPs under geometric representation can help the BC method make better use of the demonstration trajectory and thus better learn the task skills.

Multi-variate coding for possession: methodology and preliminary results.

In this work we are presenting a database structure to encode the phenomenon of differential possession across languages, considering noun possession classes and possessive constructions as independent but linked. We show how this structure can be used to study different dimensions of possession: semantics, noun valence, and possessive constructions. We present preliminary survey results from a global sample of 120 languages and show that there is a universal semantic core in both inalienable and non-possessible noun classes. Inalienables are centered on body parts and kinship. Non-possessibles are centered on animals, humans, and natural elements.

Fiscal conditions for multiparty elections in dictatorships

Multiparty elections can reduce the likelihood of conflict and help dictators secure their rule, but when does a dictator create electoral institutions? Existing research finds that one of the major reasons regimes introduce multiparty elections is to gain information about opposition demands. This article builds on that argument to explain that a regime’s finances determine whether or not it is able to benefit from creating electoral institutions. Dictators use the revenue of the regime to invest in different means of deterring opposition rebellion. A regime’s first priority is to build repressive capacity, after which it invests in public spending to buy the support of its winning coalition. Regimes only benefit from multiparty elections when they have sufficient revenue to fund repressive capacity but lack the finances to also buy regime security through massive public spending. Low-revenue regimes cannot benefit from elections and high-revenue regimes do not need elections to help secure their rule. I test the implications of the argument for regime spending and the creation of multiparty electoral institutions using a global sample of dictatorships between 1972 and 2014. The results of the hypothesis tests indicate that as revenue increases regimes decrease their shares of spending on repressive capacity but increase shares of spending on the public. The results also indicate the probability that a regime introduces elections rises as revenue increases from a low level, but the probability declines as revenue increases from a high level. The study builds upon the literature for how regime resources and state capacity influence authoritarian strategies of political survival. The findings for spending patterns are consistent with recent research on late modern regimes, and the results for the emergence of electoral institutions are consistent with research that finds dictators must have sufficient resources to survive holding elections.

Global Uncertainty and Economic Growth – Evidence from Pandemic Periods

ABSTRACT This paper investigates whether global uncertainty predicts economic growth rates using a global sample of 136 countries. We use the panel regression model and find strong evidence that global uncertainty negatively predicts the economic growth rate. Further, the negative impact of global uncertainty on economic growth rates is amplified during pandemic periods versus non-pandemic periods. Our main findings hold after a range of robustness tests.

Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020

Abstract. Leaf area index (LAI) with an explicit biophysical meaning is a critical variable to characterize terrestrial ecosystems. Long-term global datasets of LAI have served as fundamental data support for monitoring vegetation dynamics and exploring its interactions with other Earth components. However, current LAI products face several limitations associated with spatiotemporal consistency. In this study, we employed the back propagation neural network (BPNN) and a data consolidation method to generate a new version of the half-month 1/12∘ Global Inventory Modeling and Mapping Studies (GIMMS) LAI product, i.e., GIMMS LAI4g, for the period 1982–2020. The significance of the GIMMS LAI4g was the use of the latest PKU GIMMS normalized difference vegetation index (NDVI) product and 3.6 million high-quality global Landsat LAI samples to remove the effects of satellite orbital drift and sensor degradation and to develop spatiotemporally consistent BPNN models. The results showed that the GIMMS LAI4g exhibited overall higher accuracy and lower underestimation than its predecessor (GIMMS LAI3g) and two mainstream LAI products (Global LAnd Surface Satellite (GLASS) LAI and Long-term Global Mapping (GLOBMAP) LAI) using field LAI measurements and Landsat LAI samples. Its validation against Landsat LAI samples revealed an R2 of 0.96, root mean square error of 0.32 m2 m−2, mean absolute error of 0.16 m2 m−2, and mean absolute percentage error of 13.6 % which meets the accuracy target proposed by the Global Climate Observation System. It outperformed other LAI products for most vegetation biomes in a majority area of the land. It efficiently eliminated the effects of satellite orbital drift and sensor degradation and presented a better temporal consistency before and after the year 2000. The consolidation with the reprocessed MODIS LAI allows the GIMMS LAI4g to extend the temporal coverage from 2015 to a recent period (2020), producing the LAI trend that maintains high consistency before and after 2000 and aligns with the reprocessed MODIS LAI trend during the MODIS era. The GIMMS LAI4g product could potentially facilitate mitigating the disagreements between studies of the long-term global vegetation changes and could also benefit the model development in earth and environmental sciences. The GIMMS LAI4g product is open access and available under Attribution 4.0 International at https://doi.org/10.5281/zenodo.7649107 (Cao et al., 2023).

Assessing hydrological controls on the lithium isotope weathering tracer

To investigate the impact of riverine discharge and weathering intensity on lithium isotopes (δ7Li) in a mono-lithological terrain, this study examines the dissolved load and leached suspended load (exchangeable, oxide, and clay fractions) from Icelandic rivers spanning a wide range of discharge, weathering rates, and weathering intensity. The δ7Lidissolved co-varies inversely with the discharge, confirming that water-rock interaction time is a primary control on the secondary mineral formation that fractionates Li isotopes. The “boomerang” shape observed in global rivers between the weathering intensity (i.e. W/D = weathering rate/denudation rate) and δ7Lidissolved also exists for these basaltic rivers at low to medium W/D. However, these rivers do not extend to such low δ7Lidissolved values as seen in the global compilation at low W/D, indicating that there is a lithological control on this relationship arising from the type of the lithology-specific secondary minerals forming and their precipitation rates. In addition, the Δ7Lix-dissolved between each leached solid phase and the dissolved load also co-varies with discharge. At low discharge (long water-rock interaction times), Δ7Lix-dissolved values agree with experimentally-determined equilibrium values, whereas less fractionated values are observed at higher discharge (shorter water-rock interaction times). As a result, there is a different relationship between W/D and Δ7Liclay-source in this basaltic terrain than previously reported from global multi-lithological river sediment samples, with clay leachates from Iceland more closely mimicking the boomerang shape of the dissolved load. However, the relationship between δ7Li and weathering processes is complicated because the fractionation between the clay fraction and the dissolved load is not constant but varies with both W/D and discharge. Overall, this study confirms the utility of Li isotopes as a tracer of modern and palaeo-weathering processes, and also has important implications for the specific interpretations of detrital δ7Li values, which may be more sensitive to weathering parameters than previously thought.

Oil dependency and happiness in net oil-exporting countries: is it a curse or blessing?

ABSTRACT The resource curse hypothesis postulates that countries endowed with and dependent on abundant natural resources tend to underperform in socioeconomic and development outcomes than those with fewer natural resources. Recently, a few studies argued that this curse also manifests in lower life satisfaction or happiness. Focusing on 31 net oil-exporting countries over the 2006–2019 period, we find no evidence that oil rents (and aggregate and disaggregate resource rents) have an adverse effect on happiness or subjective well-being. This contrasts with recent studies using a global sample. We further contribute to this debate by examining the channels of resource curse or blessing along with income, unemployment, inflation, levels of human development, and governance. We show that oil rent enhances the positive marginal effects of income on happiness. We find no evidence of this conditional effect through other channels. Being rich in oil or natural resources is not necessarily a curse on happiness, but, if any, it is a blessing through income-generating well-being.

O044 Are we Sleeping Enough? Short and Irregular Sleep is Common in a Large Global Community Sample with Objective, Multi-night, In-home Sleep Data

Abstract Introduction Evidence-based guidelines recommend that adults should sleep 7-9hrs per/night. This study used multi-night, in-home, objective sleep duration monitoring to determine how often a large global community sample meets the recommended sleep duration range. Methods Data were analysed from registered users of the Withings Sleep Analyzer under-mattress device who had ≥28 nights of sleep recordings, averaging ≥4 per week. Sleep durations were assessed as the average and standard deviation of sleep duration across a ~9-month period. Proportions of participants within (7-9hrs) or outside (&amp;lt;7hrs or &amp;gt;9hrs) the recommended sleep duration range were calculated. Associations between age groups, sex, and sleep duration were assessed using linear and logistic regressions. Results In total, data were analysed from 67,254 adults (52,523 males, 14,731 females; aged Mean±SD 50±12y). About 30% of the sample showed an average sleep duration outside the recommended 7-9hrs per/night. Even in participants with an average sleep duration within 7-9hrs, about 40% of recorded nights were outside this range, and only 15% of participants slept between 7-9h for at least 5 nights per/week. Females had significantly longer sleep durations than males, and middle-aged participants had lower sleep durations than younger and older participants. Discussion A considerable proportion of adults in this sample were not regularly sleeping the recommended 7-9hrs per/night. Even amongst those who do, irregular sleep is prevalent. These novel data raise several important questions regarding sleep requirements, lifestyle factors, and the need for improved sleep health policy and advocacy.

Regional inequalities and political trust in a global context

ABSTRACT Climate change, health pandemics, structural decline, and more – the challenges of solving political problems are daunting, particularly when the political institutions addressing them are not trusted. This article tests the economic theory that residents of high-income regions are more likely to trust political institutions, given their positive experiences with services and opportunities, against the rival argument that predicts a negative effect of regional disadvantage within a country on political trust. Using European Values Study and World Values Survey (2017–2020) data, combined with socioeconomic data for 606 regions in 42 countries, this paper analyses samples of regions both in and outside the EU. The results suggest that people living in wealthy EU regions – both in absolute and relative terms – trust national government more and the EU less. In the global sample, the evidence is more variegated and corroborates economic theory only in democracies. The article sketches implications for regional inequality, political trust, and legitimacy research.

The impact of founder personalities on startup success

Startup companies solve many of today’s most challenging problems, such as the decarbonisation of the economy or the development of novel life-saving vaccines. Startups are a vital source of innovation, yet the most innovative are also the least likely to survive. The probability of success of startups has been shown to relate to several firm-level factors such as industry, location and the economy of the day. Still, attention has increasingly considered internal factors relating to the firm’s founding team, including their previous experiences and failures, their centrality in a global network of other founders and investors, as well as the team’s size. The effects of founders’ personalities on the success of new ventures are, however, mainly unknown. Here, we show that founder personality traits are a significant feature of a firm’s ultimate success. We draw upon detailed data about the success of a large-scale global sample of startups (n = 21,187). We find that the Big Five personality traits of startup founders across 30 dimensions significantly differ from that of the population at large. Key personality facets that distinguish successful entrepreneurs include a preference for variety, novelty and starting new things (openness to adventure), like being the centre of attention (lower levels of modesty) and being exuberant (higher activity levels). We do not find one ’Founder-type’ personality; instead, six different personality types appear. Our results also demonstrate the benefits of larger, personality-diverse teams in startups, which show an increased likelihood of success. The findings emphasise the role of the diversity of personality types as a novel dimension of team diversity that influences performance and success.

Do mutually reinforcing cleavages harm democracy? Inequalities between ethnic groups and autocratization

ABSTRACT Do mutually reinforcing cleavages harm democracy? Evidence from specific cases suggests that autocratization can be related to the predicament of ethnic groups, if ethnicity is politicized and involves resource distribution. However, we know little about whether this is a cause of autocratization more broadly. The article demonstrates that, with increasing inequalities between ethnic groups, a country experiences a decline in its level of democracy and higher propensity to start autocratizing. The analysis thus advances previous contributions, focusing on individual inequalities and power-sharing institutions as explanations of democratization or democratic quality, in two ways. First, isolating autocratization as downturns in democracy levels and the onsets of related timespans (autocratization episodes), and comparing the impact of (economic, political, and social) types of inequalities between ethnic groups. Second, adopting a global sample of (democratic and non-democratic) countries since 1981, with an original data collection integrating expert surveys with survey data. Quantitative evidence confirms most expectations, particularly on economic inequalities between ethnic groups, and – although less precisely – economic, political and social dimensions combined. The findings have important implications for political regime and ethnic studies, showing that preventing the mutual reinforcement of sociocultural and economic cleavages is key to stabilize democracy.

Paraphyly and cryptic diversity unveils unexpected challenges in the “naked lichens” (Calvitimela, Lecanoromycetes, Ascomycota)

Molecular phylogenetics has revolutionized the taxonomy of crustose lichens and revealed an extensive amount of cryptic diversity. Resolving the relationships between genera in the crustose lichen family Tephromelataceae has proven difficult and the taxon limits within the genus Calvitimela are only partly understood. In this study, we tested the monophyly of Calvitimela and investigated phylogenetic relationships at different taxonomic levels using an integrative taxonomic approach. We performed a global sampling of all species currently assigned to Calvitimela and conducted additional sampling of C. melaleuca sensu lato across Norway. We included 108 specimens and produced more than 300 sequences from five different loci (ITS, LSU, MCM7, mtSSU, TEF1-α). We inferred phylogenetic relationships and estimated divergence times in Calvitimela. Moreover, we analyzed chemical and morphological characters to test their diagnostic values in the genus. Our molecular phylogenetic results show evolutionarily old and deeply divergent lineages in Calvitimela. The morphological characters are overlapping between divergent subgenera within this genus. Chemical characters, however, are largely informative at the level of subgenera, but are often homoplastic at the species level. The subgenus Calvitimela is found to include four distinct genetic lineages. Detailed morphological examinations of C. melaleuca s. lat. reveal differences between taxa previously assumed to be morphologically cryptic. Furthermore, young evolutionary ages and signs of gene tree discordance indicate a recent divergence and possibly incomplete lineage sorting in the subgenus Calvitimela. Phylogenetic analysis and morphological observations revealed that C. austrochilensis and C. uniseptata are extraneous to Calvitimela (Tephromelataceae). We also found molecular evidence supporting C. septentrionalis being sister to C. cuprea. In the subgenus Severidea, one new grouping is recovered as a highly supported sister to C. aglaea. Lastly, two fertile specimens were found to be phylogenetically nested within the sorediate species C. cuprea. We discuss the need for an updated classification of Calvitimela and the evolution of cryptic species. Through generic circumscription and species delimitation we propose a practical taxonomy of Calvitimela.

Integrative Genomics Sheds Light on Global Deep Terrestrial Biosphere Communities

Active microbial lineages inhabit the deep terrestrial subsurface (Fry et al. 1997, Lopez-Fernandez et al. 2018) with estimates suggesting deep subsurface ecosystems to host ca. 90% of the total bacterial and archaeal biomass on Earth and about 10-20% of all terrestrial biomass (McMahon and Parnell 2014, Bar-On et al. 2018, Magnabosco et al. 2018, Drake and Reiners 2021). This highlights deep subsurface ecosystems as a vast reservoir of genetic innovation that remains poorly characterized. The biological diversity of deep subsurface ecosystems seem to be influenced by parameters such as temperature, pressure, water residence times, and geochemistry (Drake and Reiners 2021). The deep subsurface environment remains underrepresented in metagenomic databases, and yet the publicly available datasets are not synoptically analyzed in an integrated way. In this project, we collected a large set of publicly available and published metagenomes, published metagenome assembled genomes (MAGs) as well as single cell amplified genomes (SAGs) originating from global deep oligotrophic terrestrial subsurface samples (&amp;gt;70 m). Reconstructed MAGs/SAGs from this survey were integrated in to our own existing Fennoscandian Shield Genomic Database (FSGD) (Holmfeldt et al. 2021, Mehrshad et al. 2021). This expanded global database of the deep oligotrophic terrestrial subsurface contains &amp;gt;4000 MAGs/SAGs. In this dataset, representatives of phyla Firmicutes, Desulfobacterota, Patescibacteria, and Chlroflexota were the most prevalent taxa. The presence of Candidatus Desulforudis audaxviator across different continents and samples highlighted its adaptation to different deep biosphere environments. In addition, novel bacterial lineages at the class level were identified in several locations, pointing to the importance and necessity of further studies to characterize deep biosphere microbial diversity. This extensive study of the global deep oligotrophic terrestrial subsurface will reveal whether deep terrestrial populations are ubiquitous and how their distribution patterns are affected by different physicochemical variables such as water types and geology. By Identifying key populations present across multiple global groundwaters, our study will advance our understanding of the global diversity hosted in deep oligotrophic terrestrial subsurface ecosystems.

Self-regulation, stress appraisal, and esport action performance.

Electronic sport has seen substantial growth in market value and popularity in the last 10 years. With this growth has come the pursuit of elite esports performance, especially from a psychological perspective. This study aimed to investigate potential variations in self-regulation levels among athletes of different levels (national vs. student), compare the self-regulation profiles of CS:GO players in the current study to an international sample of e'athletes and to assess the predictive capacity of self-regulation on performance outcomes. A total of 53 esports athletes (student competitors, n = 27 and national-level CS:GO competitors, n = 26), participated in an experiment exploring self-regulation, DRES, and action performance. Furthermore, analysis comparing our collective findings against a larger global sample of e'athletes (n = 993) was conducted. Results demonstrated that CS:GO players who displayed higher levels of self-regulation tended to perceive stressful situations as challenges, consequently showcasing superior accuracy and time trial performance. In contrast, individuals with lower self-regulation tended to perceive such situations as threats, which correlated with less favorable performance outcomes. On a broader scale, the study observed that CS:GO competitors generally exhibited lower levels of self-regulation when compared to the larger global sample. Furthermore, self-regulation was identified as a mediating variable in the relationship between stress appraisal and performance, suggesting that improved self-regulation skills can lead to enhanced accuracy and quicker time trial performance. This may imply that competitors with greater self-regulatory abilities perceive themselves as having more personal resources, enabling them to effectively assess challenging situations and employ problem-focused coping strategies. Overall, this research underscores the significance of self-regulation in optimizing esports performance, while providing valuable insights for player development, action performance, and overall outcomes in the field.