Non-structural Factors Research Articles

Clausal agreement on adverbs in Andi

Abstract Andi (Nakh-Daghestanian; Russia) displays a typologically remarkable phenomenon: adverbs of numerous morphological and functional types inflect for agreement with a clause-level controller. To the extent that adverb agreement has been observed elsewhere, it is commonly taken to signal that the items involved are semantically oriented towards the participants they agree with, aligning the phenomenon with secondary predication. This paper demonstrates that Andi works differently: the widespread clausal agreement seen on Andi adverbs is insensitive to participant orientation. While agreement exponence on adverbs is morphologically complex, a simple structural principle (modelled here in Minimalist terms) ensures that clause-level agreement is always with the absolutive-case argument. The Andi facts thus provide evidence for a typological distinction between those languages where clausal agreement on adverbs can serve a semantic function and those where it cannot. A potential challenge is posed by the exceptional “biabsolutive” construction, where both subject and object appear in absolutive case and either may control adverb agreement, suggesting a role for some additional non-structural factor. However, on independent grounds this paper identifies the two arguments as belonging to distinct structural layers; this apparent flexibility in controller choice merely reflects the ability of certain adverbs to modify either layer.

Time varying characteristics of factors affecting carbon price in emission trading scheme in China: Evidence from SV-TVP-VAR approach

Analysis of the factors influencing the price of carbon emissions trading in China and its time-varying characteristics is essential for the smooth operation of the carbon trading system. We analyse the time-varying effects of public concern, degree of carbon regulation, crude oil price, international carbon price and interest rate level on China’s carbon price through SV-TVP-VAR model. Among them, the quantification of public concern and the degree of carbon emission regulation is based on microblog text and government decisions. The results show that all the factors influencing carbon price are significantly time-varying, with the shocks of each factor on carbon price rising before 2019 and turning significantly thereafter. The short-term shock effect of each factor is more significant compared to the medium- and long-term, and the effect almost disappears at a lag of six months. Thanks to public environmental awareness, low-carbon awareness and the progress of carbon market management mechanisms, public concern has had the most significant impact on carbon price since 2019. With the promulgation of relevant management measures for the carbon market, relevant regulations on carbon emission accounting, financing constraints, and carbon emission quota allocation for emission-controlled enterprises have become increasingly mature, and carbon price signals are more sensitive to market information. The above findings provide substantial empirical evidence for all stakeholders in the market, who need to recognize that the impact of non-structural factors on the price of carbon varies over time. Government intervention also serves as a key aspect of carbon emission control and requires the introduction of relevant constraints and incentives. In particular, emission-controlling firms need to focus on the policy direction of the carbon market, and focus on the impact of Internet public opinion on business production while reducing carbon allowance demand and energy dependence.

Improving the non-structural preparedness of the selected hospital based on the FOCUS-PDCA1 model: action research

IntroductionWith the intensification of the country’s development process, the expansion of cities and population, and the inclusion of Iran in the accident-prone category, reducing the vulnerability of non-structures has received more attention from the organizations involved. In addition to damage to communities and infrastructure, accidents can affect hospitals and their non-organizational components. Hospitals, as the front line of providing medical services after accidents, must maintain their stability, ensure the safety of their patients and employees, and continue to operate without interruption as in normal conditions. Therefore, it is necessary to evaluate the non-structural safety and their preparedness to ensure they can perform acceptable in critical conditions.MethodsThis applied research was conducted in 2023 (September to December) using the participatory action research method in all selected hospital departments. The level of non-structural preparedness of the hospital was checked using the valid “Hospital Safety Index” questionnaire and the non-structural weaknesses of the hospital were identified. Then, in action research using the FOCUS-PDCA model, a program was implemented to improve the non-structural preparedness of different departments of hospitals in the face of accidents and disasters. The non-structural readiness level of the hospital was compared before and after the implementation of the change.ResultsBased on the evaluation conducted in the present study, the lowest level of safety was observed in the water supply system, office furniture and appliances, and fuel storage. The waste management systems, the fire protection system, and the long-distance communication systems were at a desirable performance level. Although in the evaluation before the change, the overall score of the hospital was 71.01%, and it had a desirable performance level in non-structural factors, in all the involved parts of the hospital, the sensitive, critical, and practical parts in the operation of the hospital had an average and sometimes low safety level. According to the obtained safety score, the safety level of the selected hospital before the change was 7 out of 10 (level seven of safety evaluation = medium). After the change and corrective measures, the non-structural safety assessment score was 76.93, and the hospital’s safety level was raised by one step to 8 out of 10 (8th level of safety assessment = relatively favorable).ConclusionThe present study showed that the application of Total Quality Management (TQM), primarily its application tool FOCUS-PDCA, is efficient and helpful in improving the non-structural preparedness of hospitals. Using action research in the health field in accidents and disasters can open blind knots in different dimensions of preparedness (structural, non-structural, and functional).

Metalinguistic awareness as a factor in contact-induced language change

Abstract This opinion paper considers the role of metalinguistic awareness as a cognitive factor in contact-induced change (CIC). Although research in neighboring fields – for example, language pedagogy and second and third language acquisition – has shown that metalinguistic awareness is a non-structural factor, but does interact with cross-linguistic influences, metalinguistic awareness and its connection to CIC have largely remained undiscussed in contact linguistics. The goal of this contribution is threefold: (i) to put metalinguistic awareness on the agenda in language contact research; (ii) to relate metalinguistic awareness and CIC; and (iii) to showcase how CIC might be linked to different language experiences. To narrow the structural scope, I examine changes in passive constructions and discuss what role metalinguistic awareness might have played in the different developments.

Structures Supporting Virtuous Moral Agency: An Empirical Enquiry

AbstractIt has been argued that organizational structures (the way tasks are defined, allocated, and coordinated) can influence moral agency in organizations. In particular, low values on different structural parameters (functional concentration, specialization, separation, and formalization) are said to foster an organizational context (allowing for relating to the goals and output of the organization, moral deliberation, and social connectedness) that is conducive to moral agency. In this paper, we investigate the relation between the organizational structure and moral agency in the case of a.s.r. (a large Dutch insurance company). While our empirical results fit the thesis that low values on structural parameters positively relate to moral agency, they also refine our understanding of the influence of structural parameters. In particular, our data suggest that the influence of functional concentration not only depends on whether it is low, but also on the type of criterion used for identifying business units; they suggest that the specific organizational context may put a limit to lowering design parameters and points at several non-structural factors that have an influence on the relation between structure and moral agency. In all, the paper contributes to a more detailed understanding of the conditions conducive to moral agency in organizations.

Does country of resettlement influence the risk of labor market marginalization among refugees? A cohort study in Sweden and Norway.

This study aimed to compare the risk of labor market marginalization among refugees across different host countries of resettlement and examine the moderating role of birth country and length of stay on these associations. Cohorts of refugees and native-born individuals aged 19-60 in Sweden (N=3 605 949, 3.5% refugees) and Norway (N=1 784 861, 1.7% refugees) were followed during 2010-2016. Rates (per 1000 person-years) of long-term unemployment, long-term sickness absence, and disability pension were estimated for refugees and the host populations. Cox regression models estimated crude and adjusted (for sex, age, educational level, and civil status) hazard ratio (HRadj) for refugees compared to their respective host population, with 95% confidence intervals (CI). Analyses were also stratified by birth country and length of stay. Refugees in Norway and Sweden had a higher incidence of labor market marginalization compared to their host population. Refugees in Sweden had a comparatively lower relative risk of long-term unemployment but higher risk of disability pension (HRadj 3.44, 95% CI, 3.38-3.50 and HRadj 2.45, 2.35-2.56, respectively) than refugees in Norway (HRadj 3.70, 3.58-3.82 and HRadj 1.57, 1.49-1.66, respectively). These relative risks varied when stratifying by birth country. A shorter length of stay was associated with a higher risk of long-term unemployment and a lower risk of disability pension, with a stronger gradient in Sweden than in Norway. The relative risk of labor market marginalization varied by the refugees' birth country but followed similar trends in Sweden and Norway. Although speculative, these findings may hint at non-structural factors related to the refugee experience playing a more important role than host country structural factors for the risk of labor market marginalization among refugees. Future research, including host countries with more variability in structural factors, is required to further investigate these associations. The higher risk of long-term unemployment among refugees with shorter length of stay indicates a need for more efficient labor market integration policies for newly-arrived refugees.

Writing Error: Exploring the Language Interference in EFL Context

Al-Mashduqiah Plus Junior High School is one of the boarding school that develops foreign language skills as an attempt to prepare young people to be able to compete in the global world. In fact, the language learners (students) still often mix the structure of their first language into English to write. Therefore, this study aimed to identify the language interference in the students’ English writing assignment, and what factors behind them. The research used descriptive qualitative. The results showed that the form of interference in Al- Mashduqiah Plus Junior High School is morphological and syntactical structure. Besides, these interferences are caused by several factors; they are structural and non-structural factors. The structural factors include the difference of linguistics systems in native language and the targeted language. The non-structural factors include the learners’ bilingualism, language loyalty, the inadequate vocabulary of learners’ language, and the habits of using mother tongue language. This research is expected to provide information to students, teachers, and researchers so that they can find learning innovations that can improve the quality of foreign language skills.

Adaptive vertical-deformation field estimation and current tectonic deformation significance analysis in Shanxi rift valley

The Shanxi rift valley is a continental rift system that is characterized by mantle uplift, crustal thinning, and tectonic deformation. A continuous, vertical crustal-deformation field can elucidate the constraints for understanding the mechanisms currently driving the deformation of the rift. Accordingly, we acquired and processed data from 250 continuous and mobile GPS stations located in the Shanxi rift valley and its surrounding region. Accounting for the influence of fault activity, we established the vertical crustal-deformation field of the Shanxi rift valley as a continuous function of space, using an adaptive least-squares collocation method. The main research findings are stated as follows: 1) the adaptive least-squares model yielded a reliable interpolation prediction results with adequate robustness, even for relatively sparse actual observation data. 2) The current general deformation pattern of the Shanxi rift valley exhibits an uplift of the mountainous regions on both sides and subsidence of the central basin. The average uplift rate of the mountain area is 2–3 mm/a, and the subsidence rate of the basin is not uniform and is positively correlated with the spatial distribution of the Cenozoic sediment thickness. However, in certain areas, a high subsidence rate of 10–30 mm/a is associated with human activities such as groundwater exploitation. 3) In summary, the current vertical crustal deformation occurring in the Shanxi rift valley correlates with the pattern over a time scale of millions of years. Overall, it is controlled by regional geological structure pattern, and is influenced by nonstructural factors in the shallow crust, exhibiting both complex and orderly characteristics in its spatial distribution.

The latent failure probability: A conceptual basis for robust, reliability-based and risk-based design optimization

The safety of structural systems depends on social, political, financial, organizational, behavioral, and other non-structural factors. These factors are related to use of the structure and its environment, malevolent and other unanticipated accidental loading, construction method and experience of construction crews, gross errors, monitoring to prevent abuse, etc. The above can broadly be classified as non-technical factors, involving significant epistemic uncertainty. In this manuscript, we formalize a procedure to handle non-technical factors and/or epistemic uncertainties in Robust, Reliability-based and Risk-based structural Design Optimization (R3DO). We propose that latent failure probabilities, subjective point-estimates reflecting non-technical factors and/or epistemic uncertainties, be added to the nominal member failure probabilities, calculated from objective aleatory uncertainty (technical factors). Latent failure probabilities are subjectively estimated by the analysis team, based on a holistic risk analysis addressing the technical and non-technical factors above. The relevance and impact of latent failure probabilities in R3DO have already been demonstrated elsewhere; these results are briefly recapped herein. We demonstrate that structural systems should be made redundant, not because of objective aleatory uncertainties in loads and material strengths, but to cope with the large impact of subjective epistemic uncertainties related to non-technical factors.

A Vulnerability Assessment Framework for Cultural Heritage Sites: The Case of the Roman Ruins of Tróia

This article contributes to developing an indicator-based vulnerability assessment framework for cultural heritage sites. It provides a vulnerability index for heritage sites potentially exposed to multiple hazards, including sudden-onset and slow-onset hazards, while considering climate change influences. Through determining particular criteria and indicators, the Cultural Heritage Vulnerability Index incorporates structural and non-structural factors of the heritage site and its local and national settings. The assessment procedure was applied to the case of the Roman Ruins of Tróia in Portugal. The findings highlight those areas of sensitivity (e.g., the existing deterioration patterns and types of foundation) and coping and adaptive capacities (e.g., institutional setting and response plan) that significantly contribute to the level of vulnerability and risk. The results of vulnerability assessment will further enable determining priorities and developing risk mitigation and preparedness measures, in particular reducing structural sensitivity and promoting coping capacities.

Turnout in European parliament elections 1979–2019

ABSTRACT The European Parliament (EP) has seen a gradual increase in its powers since the introduction of direct elections in 1979. Scholars have focused on both individual-level and aggregate factors to explain turnout rates in EP elections over time, including increased levels of EU politicization and the rise in support for Eurosceptic parties. However, one strand of analysis seems to partially have been overlooked: Some earlier research on EP election turnout claimed that absolute turnout rates across the EU should be used with care, as a number of ‘structural factors’ influences these shares and with this, affects estimates of actual voter turnout. Are such structural variables still relevant in a time where European politics are becoming increasingly salient among the wider public, pro- and anti-EU sentiments may increase citizens’ inclination to vote and trust in EU institutions may be getting increasingly important? Based on various estimates, we find that structural factors can still be characterized as determinants in EP elections, but that the power of structural factors to explain turnout at the EU level, compared to non-structural factors, has decreased. Nonetheless, EU-wide (average) EP turnout rates, as widely reported, are not likely to be good reflections of actual trends in EP turnout over time.

Fault detection by skeleton extraction based on orientation field consistency.

A fault detection method using skeleton extraction based on orientation field consistency is proposed to improve the efficiency of fault detection, reduce the influence of transverse nonstructural factors on fault detection, and realize automatic fault extraction. In fingerprint image processing, the consistency of the orientation field reaches a maximum value when all orientations are parallel and takes a smaller value when not all orientations are parallel. The orientation field ceases to be parallel in the presence of a stratigraphic discontinuity, and the consistency of the orientation field in the corresponding region is lower than that in parallel regions. This characteristic can be exploited to extract discontinuous regions from seismic data. Then, binarization and closing operations are used to extract fault areas and increase fault continuity. Finally, a skeleton extraction method based on extracting the longitudinal center point is used to identify the fault lines. Compared with the classical ant tracking method, the proposed method requires the adjustment of fewer parameters, thus simplifying fault identification process to a certain extent. Moreover, the proposed method effectively suppresses transverse discontinuities, highlights the longitudinal fault characteristics, and strengthens fault continuity.

Optimization of PV/Diesel Production through Data Monitoring

The study PV/diesel system is a stand-alone microgrid powered by the PV/diesel combination without production storage. The study focused on optimising PV/diesel production by monitoring data. It also referred to a comparison of sensitive factors in PV/diesel production. This study implemented structural and non-structural factors of the said system. A literature search was conducted to determine the factors involved. So, factors such as system autonomy, energy quality, system stability and data monitoring were considered for the study. Thus, after a detailed presentation of the data monitoring, a comparison based on the method, Analysis of Failure Modes, their Effects and Criticalities (FMEA) was carried out. At the end of the comparison, a hierarchy of parameters in the exploitation of the energy production of autonomous microgrids was made. From its results, it emerges a good consideration of the factor “data monitoring” in the management of the system studied. The results obtained confirm the importance of data monitoring for a better optimization of energy production. A monitoring program or procedure has been developed according to the originality that the present study has identified. The study also made it possible to evaluate the performance of data monitoring for the energy production of photovoltaic systems in general and hybrid PV/diesel systems in particular.

Evaluation of Rapid Repair of Concrete Pavements Using Precast Concrete Technology: A Sustainable and Cost-Effective Solution

Abstract Concrete and asphalt are the two competitive materials for a highway. In Sweden, the predominant material for the highway system is asphalt. But under certain conditions, concrete pavements are competitive alternatives. For example, concrete pavements are suitable for high-traffic volume roads, roads in tunnels, concentrated loads (e.g., bus stops and industrial pavement). Besides the load-carrying capacity, the concrete pavement has many advantages such as durability (wear resistance), resistance against frost heave, environment (pollution, recycling, and low rolling resistance leading to fuel savings), fire resistance, noise limitations, brightness, evenness and aesthetics. Concrete pavements are long-lasting but need final repair. Single slabs may crack in the jointed concrete pavement due to various structural and non-structural factors. Repair and maintenance operations are, therefore, necessary to increase the service life of the structures. To avoid extended lane closures, prevent traffic congestions, and expedite the pavement construction process, precast concrete technology is a recent innovative construction method that can meet the requirement of rapid construction and rehabilitation of the pavement. This paper evaluates rapid repair techniques of concrete pavement using precast concrete technology by analysing three case studies on jointed precast concrete pavements. The study showed that the required amount of time to re-open the pavement to traffic is dramatically reduced with jointed precast concrete panels.

Gender issues in fundamental physics: Strumia’s bibliometric analysis fails to account for key confounders and confuses correlation with causation

Alessandro Strumia recently published a survey of gender differences in publications and citations in high-energy physics (HEP). In addition to providing full access to the data, code, and methodology, Strumia (2020) systematically describes and accounts for gender differences in HEP citation networks. His analysis points both to ongoing difficulties in attracting women to high-energy physics and an encouraging-though slow-trend in improvement. Unfortunately, however, the time and effort Strumia (2020) devoted to collating and quantifying the data are not matched by a similar rigour in interpreting the results. To support his conclusions, he selectively cites available literature and fails to adequately adjust for a range of confounding factors. For example, his analyses do not consider how unobserved factors - e.g., a tendency to overcite well-known authors-drive a wedge between quality and citations and correlate with author gender. He also fails to take into account many structural and non-structural factors - including, but not limited to, direct discrimination and the expectations women form (and actions they take) in response to it-that undoubtedly lead to gender differences in productivity. We therefore believe that a number of Strumia's conclusions are not supported by his analysis. Indeed, we re-analyse a subsample of solo-authored papers from his data, adjusting for year and journal of publication, authors' research age and their lifetime fame. Our re-analysis suggests that female-authored papers are actually cited more than male-authored papers. This finding is inconsistent with the greater male variability hypothesis Strumia (2020) proposes to explain many of his results.

Analysis of the spatial distribution of heavy metals in an area of farmland in Sichuan province, China

To accurately visualize the spatial distribution of heavy metal pollution and provide information that assists in remediating farmland soil, this study employed GIS technology and collected 0–20 cm-depth surface soil and shallow groundwater samples from farmland in Jianxin Village, Xiba Town, Wutongqiao City, Sichuan Province, China. The soil samples were decomposed using a high-temperature closed digestion method, and the contents of Cr, Cd, Pb, As, Cu and Zn were determined using ICP-MS. A geographic semi-variogram analysis was then conducted to delineate spatial variations in the heavy metal concentrations within the soil, and a spatial distribution map of heavy metals in the soil was drawn using ArcGIS10.2 software based on a GIS Kriging interpolation spatial structure analysis. The results showed that all heavy metal element concentrations exceeded the soil background values of Sichuan Province; the exceeded rates of Cr, Cd, and Zn were 100%. All Cd samples exceeded the soil baseline value, and the pollution accumulation of Cr, Cd, and Zn was determined as being serious. Through a comparison of cross-validation methods, a theoretical optimal semi-variogram model of six heavy metal elements was obtained. Indexes C0/(C0 + C) of Cd, Pb, As, Cu, and Zn were in the range of 48–75%, which showed that their contents related to structural factors, such as the soil parent material and topography, and also to non-structural factors such as human activities. The index C0/(C0 + C) of Cr was more than 75%, which indicates that its content is mainly related to non-structural factors and human activities. The spatial correlation followed the order of Cu > Cd > Pb > Zn > As > Cr. The vertical distribution of heavy metals was greatly affected by the soil physical properties: the Cu and Pb contents of sandy soil decreased at first and then increased with depth; the Cr, Zn, and As contents first increased and then decreased with depth; and the Cd contents decreased with depth. In clay soil, there was little change in the Cu content with depth; the Cd, Zn, Pb, and As contents first decreased and then increased with depth, and the Cr content increased first and then decreased with depth. These results show that visualizing the spatial distribution of heavy metal contamination using GIS technology is significant for providing information that can be used to remediate farmland soil.

A Condition Assessment of the Profile and Non-Structural Factors of the Buildings in the University of Eastern Philippines

This study discusses on the condition assessment of the profile and non-structural factors of the buildings in the University of Eastern Philippines was undertaken to determine the level of functionality of the building as perceived by the end users, to find out the serviceability of the buildings structure, and to assess the profile and non-structural factors of the buildings in the University of Eastern Philippines. The study utilized ocular/visual inspection, data and documents review, applying the instrument made by Coronilli [1], survey questionnaire as perceived by the end users, and the American Concrete Institute (ACI) guidelines on the condition of the selected buildings in the University of Eastern Philippines-Main Campus. Cracking of concrete are classified into structural and non-structural cracks. Non-structural cracking was observed in the buildings inspected and the College of Nursing is the most critical building in terms of cracks of the building. Furthermore, College of Science obtained 3.07 was perceived as most functional building according to the end users. The school buildings which are in need of repair is the College of Nursing buildings.

A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors

Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear extreme learning machine optimized by the Sparrow search algorithm and considers the structural and nonstructural influencing factors in the model. Firstly, empirical mode decomposition (EMD) is used to decompose the carbon price data and variational mode decomposition (VMD) is used to decompose Intrinsic Mode Function 1 (IMF1), and the decomposition of carbon prices is used as part of the input of the prediction model. Then, a maximum correlation minimum redundancy algorithm (mRMR) is used to preprocess the structural and nonstructural factors as another part of the input of the prediction model. After the Sparrow search algorithm (SSA) optimizes the relevant parameters of Extreme Learning Machine with Kernel (KELM), the model is used for prediction. Finally, in the empirical study, this paper selects two typical carbon trading markets in China for analysis. In the Guangdong and Hubei markets, the EMD-VMD-SSA-KELM model is superior to other models. It shows that this model has good robustness and validity.

To the issue of oil and gas potential in the decompression zones of the Dnieper-Donets depression

Formulation of the problem. Currently, interest in the foundation as a gas and oil field facility has increased significantly. The low efficiency of oil and gas exploration in the basement rocks is usually explained by the absence of a generally accepted hypothesis about the genesis of oil and gas and as a result of migration and accumulation of hydrocarbons. One of the main factors of accumulation is the presence of decompression zones of the foundation, as potential hydrocarbon traps. The article is devoted to the problem of identifying oil and gas bearing zones of foundation decompression. Analysis of recent research and publications. A number of scientific articles on the composition, age, structure and oil and gas potential of the foundation are analyzed. The first step in identifying decompression zones is to conduct gravimetric and magnetic surveys and apply various techniques to interpret the resulting mathematical model of the wave field pattern in order to localize the sources of its anomalies. Identification of previously unresolved parts of a common problem. In order to save money when conducting prospecting and exploration for oil and gas, the foundation proposes an improvement in the methodology for separating gas-bearing “vaulted” parts of decompression zones. Formation of the purpose of the article. The aim of the work is to establish a seismic pattern of anomalies in the geophysical fields of the base decompression zones. The object of research is the zone of decompression of the foundation on the northern side of the Dnieper-Donets depression. The subject of the study is a seismic drawing of the anomaly of the geophysical field of the gas-bearing zone of decompression of the foundation of the Rozsoshinsk structure. Report of the main material. The article analyzes a few materials to identify areas of base decompaction in various oil and gas regions. It was found that for localization of decompression zones, the Berezkin “singular points” method and the correlation method of separation of geophysical anomalies are most effective. The essence of these methods is a kind of filtering of field anomalies, where against the background of the "structural" factor, one can distinguish the "non-structural factor", i.e. decompression zone. This zone in wave fields (∆g and ∆Т) is fixed by a seismic pattern, where minima are usually fixed over hydrocarbon accumulations in relation to contouring maxima. Based on the results of the application of these methods, the structure-testing ground of the gas-bearing decompression zone is established. As an illustrative example of the successful localization of ∆g and ∆Т, data are presented on modeling the foundation softening zone in one of the oil and gas regions of the northern side of the Dnieper-Donets depression.

The Diachronic Evolution of the Complementation Profile of REMEMBER from Late Modern to Present-day British English

The emergence of gerund-participial complement clauses (CCs) is considered to be one of the major developments of the Great Complement Shift (Rohdenburg 1996: 2006) and has contributed to the alleged long-term trend for the growth of non-finite CCs in the English language (Denison 1999: 256). The verb remember saw its complementation profile altered by the introduction of gerundparticipial CCs, which entered into free competition with finite declarative CCs when the meaning of the verb is ‘recall’. This envelope of variation is studied here in terms of frequency distribution and the language-internal factors that influence the choice in Present-day British English (BrE). Results are compared to Cuyckens et al. (2014) findings for the Late Modern English period. The data show that the distribution of finite and non-finite CCs stabilised in the last century: the trend in English towards growth in the proportion of nonfinite CCs is not observed in this study. As for factors conditioning CC variation, non-structural factors (e.g. CC meaning) are key variables disfavouring non-finite CCs in Present-day BrE, while structural factors appear not to influence the choice today, unlike in Late Modern English, where both structural and non-structural factors conditioned the variation observed (Cuyckens et al. 2014).