Dimensions Of Variation Research Articles

Future of Team Research: On Teamness and Dimensions of Variability in Teams

Teams are essential for most modern work. But who or what is a team? With today’s rapidly diverse team contexts and the diversity of research frameworks for studying them, there is no longer a definitive answer to this question. Thus, Cooke et al. introduced “teamness,” a construct through which future research can describe teamwork as a function of the many dimensions of variability between and within teams. In this multidisciplinary panel moderated by the two lead authors, we discuss the current state and future directions of team cognitive science in light of teamness as a guiding construct, along with its implications for human factors practice.

Changing Warscapes, Changing Islamists? Religion, Organization, Strategic Context and New Approaches to Armed Islamist Insurgencies

This framing essay to the Special Issue on Islamists in Warscapes argues for the value of engaging with the concept of warscapes, developed primarily by anthropologists of violence in Africa, for theorizing about armed Islamist groups in protracted conflict situations. The warscapes concept better captures the nature of many of the ongoing conflicts in the Middle East, Africa, and beyond by focusing on its protracted but intermittent nature, temporal and spatial variability, international and transnational dimensions, and production of wartime orders. Within this framework, this article and Special Issue focus on armed Islamist groups, asking whether and why they perform differently than non-Islamist groups and how they evolve through embeddedness in warscapes. The article reviews literature on protracted conflict and warscapes, armed Islamist groups and jihadists, and the study of religion in conflict. It concludes by arguing that the warscapes literature can significantly add to our understanding of armed Islamist groups, and that focusing on armed Islamist groups can enrich the study of warscapes.

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscillation Index

This study introduces an innovative analytical methodology for examining the interconnections among the atmosphere, ocean, and society. The primary area of interest pertains to the North Atlantic Oscillation (NAO), a notable phenomenon characterised by daily to decadal fluctuations in atmospheric conditions over the Northern Hemisphere. The NAO has a prominent impact on winter weather patterns in North America, Europe, and to some extent, Asia. This impact has significant ramifications for civilization, as well as for marine, freshwater, and terrestrial ecosystems, and food chains. Accurate predictions of the surface NAO hold significant importance for society in terms of energy consumption planning and adaptation to severe winter conditions, such as winter wind and snowstorms, which can result in property damage and disruptions to transportation networks. Moreover, it is crucial to improve climate forecasts in order to bolster the resilience of food systems. This would enable producers to quickly respond to expected changes and make the required modifications, such as adjusting their food output or expanding their product range, in order to reduce potential hazards. The forecast centres prioritise and actively research the predictability and variability of the NAO. Nevertheless, it is increasingly evident that conventional analytical methods and prediction models that rely solely on scientific methodologies are inadequate in comprehensively addressing the transdisciplinary dimension of NAO variability. This includes a comprehensive view of research, forecasting, and social ramifications. This study introduces a new framework that combines sophisticated Big Data analytic techniques and forecasting tools using a generalised additive model to investigate the fluctuations of the NAO and the interplay between the ocean and atmosphere. Additionally, it explores innovative approaches to analyze the socio-economic response associated with these phenomena using text mining tools, specifically modern deep learning techniques. The analysis is conducted on an extensive corpora of free text information sourced from media outlets, public companies, government reports, and newspapers. Overall, the result shows that the NAO index has been reproduced well by the Deep-NAO model with a correlation coefficient of 0.74.

Application of STBC in MIMO-OFDM Broadband Wireless Communications

The Space Time Block Coding (STBC) is applied in multiple transmit antennas using data transfer for fading channels. After being encoded, the data is broken into n streams of continuously broadcast strings over n transmit antennas using STBC. The received signal is the combination of n broadcast signals and it becomes erroneous due to the entry of noise at receiver end. The probabilistic decoding approach is applied instead of joint detection approach for recovering data via decoupling of signals delivered from various antennas. The maximum likelihood decoding scheme employs the orthogonal structure of STBC called as OSTBC (Orthogonal Space Time Block Code) for providing the maximum likelihood decoding algorithm depending upon linear computation at receiver. In the present work, a MATLAB/SIMULINK environment of OSTBC has been used in order to acquire the highest dimension of variability for specific number of broadcasts as well as receive antennas utilizing a simple decoding techniques. With or without Grey Coding, OSTBC / STBC is used in MATLAB / SIMULINK blocs. The OSTBC algorithm calculates the highest achievable transmission rate for every amount of transmit antennas in any constellations including M-PSK array. M-PSK STBCs are used for different complex constellations to achieve ½ as well as ¾ of highest allowable transmission rate for Multiple Input Multiple Output (MIMO) transmit antennas utilizing various constellations

Enterprise Strategic Rhythm and Competitive Advantage

The purpose of the enterprise strategic rhythm is to describe the dynamic characteristics such as the speed and variability of the enterprise strategic activities as time changes. Because competitive advantage is the key to survive and develop in dynamic environment, enterprises need to take a series of strategic activities to obtain competitive advantage. However, even the same type of strategic activities will produce different results due to differences in the implementation process. Therefore, it is very important to study the influence of strategic rhythm on the competitive advantage of enterprises from the perspective of time. By combing and analyzing 45 literatures in the field of strategic management based on time perspective, this paper carries out theoretical research on strategic rhythm in the process of strategic activities. Firstly, it defines the concept of enterprise strategic rhythm, and summarizes the dynamic characteristics of enterprise strategic activities as "strategic rhythm". Secondly, from the two dimensions of speed and variability, the enterprise strategic activities are divided into four basic strategic rhythm types: low speed low variation, high speed low variation, low speed high variation and high speed high variation. Thirdly, the paper combs and analyzes the causes of strategic rhythm from the three aspects of managers, enterprises and external environment, and then analyzes the influence mechanism of strategic rhythm on competitive advantage from the two time dimensions of speed and variability, thus forming the research framework of corporate strategic rhythm and competitive advantage. Finally, the future research direction is proposed to lay a foundation for further research on the strategic rhythm of enterprises.

How teachers make connections among ideas in mathematics instruction.

Conceptual understanding involves understanding connections among ideas within a domain. In this chapter, we consider how teachers support students in learning about connections among ideas in mathematics. We review research focusing on teachers' connection making in mathematics classrooms, and we consider several dimensions of variability in that connection making. Across three corpora of lessons that varied in students' grade levels (first grade to college), cultural settings (United States and China), and mathematics content, we found that all teachers produced linking episodes, but the frequency with which they did so varied substantially, raising new questions about the sources and consequences of that variability. Teachers of first-grade students in China routinely engaged their students in co-constructing links; teachers of middle schoolers and college students in the United States typically explained links to students. Linking episodes targeted many different types of connections, including connections between representations, connections between principles and exemplars, connections between procedures and concepts, and connections between concepts and real-world instantiations. Across all three corpora, teachers expressed linked ideas multimodally in a majority of linking episodes. Based on the findings, we present several hypotheses about how teacher behaviors may support students' understanding of connections among ideas, and we suggest directions for future work.

Differences in Communication Between Chinese and American Cultures

With the development of globalization and cultural diversity, cross-cultural communication has become popular around the world. Though many scholars have formulated various principles for people to observe, to some extent people violate them in real settings. Therefore, there may exist misunderstandings and conflicts between people communication from different cultural backgrounds, which can destroy peoples friendship and cooperation. This paper listed four aspects: praise and response, request and response, refusal and response and task reception, which violated the cooperative principle between Chinese and American cultures, compared them and explored reasons mainly from Kluckhohn and Strodtbecks value-oriented model, theories of dimensions of cultural variability and high-context and low-context cultures. In cross-cultural communication, individuals tend to violate some maxims based on their social forms which are not observed by others. For appropriate communication, people should respect and learn more other cultures and social norms instead of languages only.

Numerical investigation on influence of dispersed rock particles on bimslope stability

Analysing the stability of bimslopes (i.e. slopes made of bimrock (block-in-matrix rock)) is challenging because bimrock has a complex internal structure. In the study reported here, a stochastic finite-element analysis with the shear-strength-reduction method was conducted to elaborate how dispersed oversized rock particles influence the stability of a vertical bimslope. Numerical models with different rock compositions were generated and analysed to characterise the definiteness and randomness. The factor of safety and the failure zone were used to establish the relationship between slope stability and fractal dimension (FD) of rock-size distribution and rock spatial variability. The numerical results show that the FD and spatial locations of the rock particles influence bimslope stability indirectly, with the key indicator for the skid resistance of a bimslope being the compactness of the rock composition crossing the sliding surface with given volumetric block proportion. This finding also highlights the validity and feasibility of stochastic analysis in outperforming deterministic analysis. Overall, the present findings offer a reference for further understanding of the collapse mechanism and reinforcement measures of existing bimslopes.

When East Meets West: Polish Business Communication from a Cross-Cultural Perspective

This paper investigates how foreign nationals living and working in Poland evaluate Polish colleagues’ communication in English and its effectiveness in international business. It identifies features of linguistic behaviour attributed to Polish business interactions. Five dimensions of cultural variability (directness, emotionality, power distance, confrontation, critical evaluation) are used as benchmarks and offer an observational framework for examining Polish communication patterns. The attitudes that foreign business professionals expressed towards their Polish colleagues’ style of interaction are measured using a Likert scale and interpreted based on the results of qualitative interviews and secondary research. The article highlights the pragmatic dangers of misunderstanding or underestimating culturally-driven behaviours in the global setting.

Replicability in Lithic Analysis

AbstractThe ubiquity and durability of lithic artifacts inform archaeologists about important dimensions of human behavioral variability. Despite their importance, lithic artifacts can be problematic to study because lithic analysts differ widely in their theoretical approaches and the data they collect. The extent to which differences in lithic data relate to prehistoric behavioral variability or differences between archaeologists today remains incompletely known. We address this issue with the most extensive lithic replicability study yet, involving 11 analysts, 100 unmodified flakes, and 38 ratio, discrete, and nominal attributes. We use mixture models to show strong inter-analyst replicability scores on several attributes, making them well suited to comparative lithic analyses. Based on our results, we highlight 17 attributes that we consider reliable for compiling datasets collected by different individuals for comparative studies. Demonstrating this replicability is a crucial first step in tackling more general problems of data comparability in lithic analysis and lithic analyst's ability to conduct large-scale meta-analyses.

Input sensitivity on the performance of configurable systems an empirical study

Widely used software systems such as video encoders are by necessity highly configurable, with hundreds or even thousands of options to choose from. Their users often have a hard time finding suitable values for these options (i.e., finding a proper configuration of the software system) to meet their goals for the tasks at hand, e.g., compress a video down to a certain size. One dimension of the problem is of course that performance depends on the input data: e.g., a video as input to an encoder like x264 or a file fed to a tool like xz. To achieve good performance, users should therefore take into account both dimensions of (1) software variability and (2) input data. This paper details a large study over 8 configurable systems that quantifies the existing interactions between input data and configurations of software systems. The results exhibit that (1) inputs fed to software systems can interact with their configuration options in non-monotonous ways, significantly impacting their performance properties (2) input sensitivity can challenge our knowledge of software variability and question the relevance of performance predictive models for a field deployment. Given the results of our study, we call researchers to address the problem of input sensitivity when tuning, predicting, understanding, and benchmarking configurable systems.Please refer to https://www.sciencedirect.com/science/article/pii/S0164121221002168 as an example of where to place this statement. “Editor s note: Open Science material was validated by the Journal of Systems and Software Open Science Board.”

Bilingual acoustic voice variation: the case of Sorani Kurdish-Persian speakers

Many individuals around the world speak two or more than two languages. This phenomenon adds a fascinating dimension of variability to speech, both in perception and production. But do bilinguals change their voice when they switch from one language to the other? It is typically assumed that while some aspects of the speech signal vary for linguistic reasons, some indexical features remain unchanged across languages. Yet little is known about the influence of language on within- and between-speaker vocal variability. The present study investigated how acoustic parameters of voice quality are structured in two languages of a bilingual speaker and to what extent such features may vary between bilingual speakers. For this purpose, speech samples of 10 simultaneous Sorani Kurdish-Persian bilingual speakers were acoustically analyzed. Following a psychoacoustic model proposed by Kreiman (2014) and using a series of principal component analyses, we found that Sorani Kurdish-Persian bilingual speakers followed a similar acoustic pattern in their two different languages, suggesting that each speaker has a unique voice but uses the same voice parameters when switching from one language to the other.

Multiple sources of acoustic variation affect speech processing efficiency.

Phonetic variability across talkers imposes additional processing costs during speech perception, evident in performance decrements when listening to speech from multiple talkers. However, within-talker phonetic variation is a less well-understood source of variability in speech, and it is unknown how processing costs from within-talker variation compare to those from between-talker variation. Here, listeners performed a speeded word identification task in which three dimensions of variability were factorially manipulated: between-talker variability (single vs multiple talkers), within-talker variability (single vs multiple acoustically distinct recordings per word), and word-choice variability (two- vs six-word choices). All three sources of variability led to reduced speech processing efficiency. Between-talker variability affected both word-identification accuracy and response time, but within-talker variability affected only response time. Furthermore, between-talker variability, but not within-talker variability, had a greater impact when the target phonological contrasts were more similar. Together, these results suggest that natural between- and within-talker variability reflect two distinct magnitudes of common acoustic-phonetic variability: Both affect speech processing efficiency, but they appear to have qualitatively and quantitatively unique effects due to differences in their potential to obscure acoustic-phonemic correspondences across utterances.

Dynamics of Research into Modeling the Power Consumption of Virtual Entities Used in the Telco Cloud

This article is a graphical, analytical survey of the literature, over the period 2010-2020, on the measurement of power consumption and relevant power models of virtual entities as they apply to the telco cloud. We present a novel review method, that summarizes the dynamics as well as the results of the research. Our method lends insight into trends, research gaps, fallacies and pitfalls. Notably, we identify limitations of the widely used linear models and the progression towards Artificial Intelligence/Machine Learning techniques as a means of dealing with the seven major dimensions of variability: workload type; computer virtualization agents; system architecture and resources; concurrent, co-hosted virtualized entities; approaches towards the attribution of power consumption to virtual entities; frequency; and temperature.

Auditory free classification of gender diverse speakers

A central issue in speech perception is how listeners resolve variability. Gender diversity presents an opportunity to examine how listeners learn and represent one dimension of sociophonetic variability arising from an evolving social category, speaker gender. To assess listeners’ perceptual organization of speaker gender, recordings were obtained from 30 cisgender (15 men, 15 women) and 30 transgender (1 agender, 15 non-binary, 7 transgender men, 7 transgender women) speakers. In an auditory free classification paradigm, listeners categorized speakers reading the same or unique sentences by perceived general similarity and gender identity. Multidimensional scaling revealed gradient organization of speaker gender with masculinity/femininity and gender prototypicality as the two most salient dimensions. Cluster analyses showed fewer perceptual speaker groups and attention to fewer indexical speech features when speakers produced unique sentences. Instructions to explicitly categorize speakers by perceived gender identity substantially simplified the hierarchical structure of speakers and shifted listeners’ attention towards masculinity/femininity over gender prototypicality. Results suggest that listeners engage in fine-grained, multivalent analysis of speaker gender that cannot be adequately captured by a “male” vs “female” dichotomy. Assumptions of a gender binary in speech communication research may require a critical re-examination to accommodate multidimensional and gradient representation of speaker gender.

Floral and reproductive traits are an independent dimension within the plant economic spectrum of temperate central Europe.

Major dimensions of plant ecological strategies have been widely studied bringing forward the concept of 'economic spectra' of plants. Sexual reproductive traits, 'floral traits', have been largely neglected in this context, despite their strong link to fitness. Here, we aimed at integrating floral traits into the dimensionality of plant form and function so far dominated by vegetative traits. We used principal component analyses and constructed trait networks to assess the correlation structure of leaf, belowground, plant size-related, and floral traits. We studied forbs within two independent datasets; one compiled from central European trait databases and one sampled in the Austrian Alps. Floral traits defined the second dimension of trait variability within both datasets, while plant size determined the first dimension. Floral traits were largely independent from the leaf economic spectrum. Flower size, however, positively scaled with plant size and leaf size. Mating system was the most well-connected trait across modules of plant tissue/organ types. The independence of floral traits was consistent also after accounting for phylogenetic relationships between species. Floral traits explained a unique part of the variation in plant form and function and thus, likely play a distinctive ecological role within the whole plant economic spectrum.

The Operationalisation of Sex and Gender in Quantitative Health-Related Research: A Scoping Review.

Current trends in quantitative health research have highlighted the inadequacy of the usual operationalisation of sex and gender, resulting in a growing demand for more nuanced options. This scoping review provides an overview of recent instruments for the operationalisation of sex and gender in health-related research beyond a concept of mutually exclusive binary categories as male or masculine vs. female or feminine. Our search in three databases (Medline, Scopus and Web of Science) returned 9935 matches, of which 170 were included. From these, we identified 77 different instruments. The number and variety of instruments measuring sex and/or gender in quantitative health-related research increased over time. Most of these instruments were developed with a US-American student population. The majority of instruments focused on the assessment of gender based on a binary understanding, while sex or combinations of sex and gender were less frequently measured. Different populations may require the application of different instruments, and various research questions may ask for different dimensions of sex and gender to be studied. Despite the clear interest in the development of novel sex and/or gender instruments, future research needs to focus on new ways of operationalisation that account for their variability and multiple dimensions.

Wild, tamed, and domesticated: Three fire macroregimes for global pyrogeography in the Anthropocene.

Climate and natural vegetation dynamics are key drivers of global vegetation fire, but anthropogenic burning now prevails over vast areas of the planet. Fire regime classification and mapping may contribute towards improved understanding of relationships between those fire drivers. We used 15 years of daily active fire data from the MODIS fire product (MCD14ML, collection 6) to create global maps of six fire descriptors (incidence, size inequality, season length, interannual variability, intensity, and fire season modality). Using multiple correspondence analysis (MCA) and hierarchical agglomerative clustering, we identified three fire macroregimes: Wild, Tamed, and Domesticated, each of which splitting into prototypical and transitional regimes. Interpretation of the six fire regimes in terms of their main drivers relied on the global maps of anthromes and Köppen climate types. The analysis yielded a two-dimensional space where the principal dimension of variability is primarily defined by interannual variability in fire activity and fire season length, and the secondary axis is based mainly on fire incidence. The Wild fire macroregime occurs mostly in cold wildlands, where burning is sporadic and fire seasons are short. Tamed fires predominate in seasonally dry tropical rangelands and croplands with high fire incidence. Domesticated fires are characteristic of humid, warm temperate and tropical croplands and villages with low fire incidence. The Tamed and Domesticated fire macroregimes, representing managed burning, account for 86% of all active fires in our dataset and for 70% of the global burnable area. Fourteen percent of active fires were found in the cold wildlands, and in the rangelands and forests of steppe and desert climates of the Wild macroregime. These results highlight the extent of human control over global pyrogeography in the Anthropocene.

A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications

With the increasing demand for customized systems and rapidly evolving technology, software engineering faces many challenges. A particular challenge is the development and maintenance of systems that are highly variable both in space (concurrent variations of the system at one point in time) and time (sequential variations of the system, due to its evolution). Recent research aims to address this challenge by managing variability in space and time simultaneously. However, this research originates from two different areas, software product line engineering and software configuration management, resulting in non-uniform terminologies and a varying understanding of concepts. These problems hamper the communication and understanding of involved concepts, as well as the development of techniques that unify variability in space and time. To tackle these problems, we performed an iterative, expert-driven analysis of existing tools from both research areas to derive a conceptual model that integrates and unifies concepts of both dimensions of variability. In this article, we first explain the construction process and present the resulting conceptual model. We validate the model and discuss its coverage and granularity with respect to established concepts of variability in space and time. Furthermore, we perform a formal concept analysis to discuss the commonalities and differences among the tools we considered. Finally, we show illustrative applications to explain how the conceptual model can be used in practice to derive conforming tools. The conceptual model unifies concepts and relations used in software product line engineering and software configuration management, provides a unified terminology and common ground for researchers and developers for comparing their works, clarifies communication, and prevents redundant developments.

Not Just Another Assessment Method: Reimagining Environmental Flows Assessments in the Face of Uncertainty

The numerous environmental flows assessment methods that exist typically assume a stationary climate. Adaptive management is commonly put forward as the preferred approach for managing uncertainty and change in environmental flows. However, we contend that a simple adaptive management loop falls short of meeting the challenges posed by climate change. Rather, a fundamental rethink is required to ensure both the structure of environmental flows assessments, along with each individual technical element, actively acknowledges the multiple dimensions of change, variability and complexity in socio-ecological systems. This paper outlines how environmental flow assessments can explicitly address the uncertainty and change inherent in adaptively managing multiple values for management of environmental flows. While non-stationarity and uncertainty are well recognised in the climate literature, these have not been addressed within the structure of environmental flows methodologies. Here, we present an environmental flow assessment that is structured to explicitly consider future change and uncertainty in climate and socio-ecological values, by examining scenarios using ecological models. The environmental flow assessment methodology further supports adaptive management through the intentional integration of participatory approaches and the inclusion of diverse stakeholders. We present a case study to demonstrate the feasibility of this approach, highlighting how this methodology facilitates adaptive management. Rethinking our approach to environmental flows assessments is an important step in ensuring that environmental flows continue to work effectively as a management tool under climate change.