Reductionist Approach Research Articles

Traits and Behavior Theory of Leadership: Critique from Undistributed Middle

Traits and/or behavior theory of leadership has a long tradition but the popular understanding of it may lead to fallacious positions. The current paper provides a critique, stemming from logic, of a reductionist approach to leadership in popular sources. The reductionist approach is manifested in propositions such as “possession of trait and/or behavior X makes one a leader.” First, the logical fallacy of the undistributed middle is explained. Second, the paper presents the appearance of the fallacy of the undistributed middle in leadership training and popular leadership materials. The paper demonstrates that popular unchecked traits and/or behavioral understandings of leadership generate misleading and logically flawed statements about leadership. The understanding of leadership built on such statements both originates and increases the ambiguity of the term leader and it likely results in ineffective training programs and actual performance on the job.

EXPERIMENTAL STUDY OF LAGRANGIAN MIXING IN WEAKLY DISSIPATIVE TIDAL CHANNELS

Estuaries are extremely dynamic environments, allowing wildlife to grow in a wide variety of ecosystems because of the interaction of masses of water with different characteristics. In particular, coastal bays and estuaries are characterized by flows driven by hydraulic unbalance such as baroclinic pressure gradients, river inflows and wind stresses, and tidal waves. Here, following a reductionist approach, we examine dispersion processes in a physical model of a tidal channel bounded by an inlet mouth, with tides as the dominant forcing. The presence of a tidal inlet can generate macro-vortices that during a tidal cycle may influence the momentum and mass transport on relatively large distances (Awaji et al. (1980), Awaji (1982), Branyon et al. (2022)). Moreover, tides tend to produce non-monotonic particle velocity correlation leading to possible particle looping trajectories that also reflect on a looping character of the Lagrangian integral time scales, differently from the classical statistically steady or homogeneous turbulence (Enrile et al. (2019)). Our goal is to examine the dispersion regimes by means of two-dimensional velocity measurements at the free surface reproduced in a large-scale physical model as a starting point for Lagrangian analysis. We show how the presence of a tidal inlet generates complex flow patterns depending on the character of the forcing tides. Furthermore, the mixed nature of tides may be crucial to dispersion processes, as it enhances the ability of the flow to transport mass in the direction of the main flow.

Examining sustainable supply chain management via a social‐symbolic work lens: Lessons from Patagonia

AbstractPatagonia, Inc. is widely recognized as a leading brand in sustainable supply chain management in the garment industry, an industry known for its sustainability shortcomings. This study examines Patagonia's supply chain practices through a social‐symbolic work lens. It describes the intentional material work related to Patagonia's inputs, throughputs, and outputs, and also its complementary relational and discursive work. We argue that Patagonia's relational and discursive work are crucial to understanding how Patagonia (a) pursues sustainable supply chain practices, (b) influences its stakeholders to support sustainability, and (c) has positive spillover effects beyond its primary stakeholders. Incorporating a social‐symbolic work lens draws attention to important theoretical and managerial insights—in particular, the need for a holistic rather than reductionist approach and the merit in creating self‐reinforcing positive feedback loops—which are prone to be overlooked in conventional studies of sustainable supply chain management.

Barriers to Overcoming Child Hunger and Malnutrition: Applying a Human Rights Approach to Improve Policy and Action.

Objective: Analyze key barriers to achieving children's right to food under Colombia's food and nutrition security policies and programs. Methods: A literature review was conducted along with 17 semi-structured expert interviews. The law framework on the right to food was applied to analyze findings. Results: Four key barriers were found. First, a reductionist approach prevails in the political narrative. This focuses on ensuring personal food access overlooking societal and environmental impacts. Second, the implementation of policies and programs is passed on to third parties, preventing civic participation and accountability. Third, there are insufficient national data sources and indicators to monitor the impact of interventions and funding. Fourth, program implementation is unequal and inadequate, which inadvertently supports illicit economies that thrive on conditions of hunger and poverty. Conclusion: Children's food and nutrition are reliant on organizations that focus on personal food supply without strengthening civic participation. Strengthening participation requires a human rights approach. International organizations can help the government to engage communities in policy and program improvement and oversight.

Parallel vaccine discourses in Guinea: ‘grounding’ social listening for a non-hegemonic global health

ABSTRACT Misinformation has been identified as a major threat to public confidence in vaccines, particularly during epidemics. As a response, social listening has become a popular and heuristic public health tool for detecting misinformation and adapting vaccine communication. In this article, we take a critical stance on the normalised approach to social listening which solely relies on the analysis of online discourses. We highlight that the current social listening paradigm inherited a reductionist and utilitarian approach from commercial marketing that struggles to grasp – and even misrepresents – the complexity of health-related perceptions and knowledge. This study draws from online COVID-19 vaccines discourses in Guinea and ethnographic fieldwork among Guinean healthcare workers. While the online social listening showcased a predominance of individual and collective safety concerns, distrust towards African elites and Western actors, fieldwork revealed that healthcare workers’ vaccine perceptions were more nuanced and largely shaped by complex kinship relations spanning across online and offline social landscapes. Furthermore, healthcare workers often displayed frontstage and backstage vaccine discourses, their vaccines related representations and claims could evolve depending on the context of enunciation. We advocate for grounding social listening in global health to avoid disconnection from the public. Failure to accomplish this could result in a detached and hegemonic form of ‘social hearing’, rather than authentic social listening. In light of this, the transdisciplinary methodology exemplified in this paper represents one possible solution.

Naive T lymphocytes chemotax long distance to CCL21 but not to a source of bioactive S1P

Naive T lymphocytes traffic through the organism in search for antigen, alternating between blood and secondary lymphoid organs. Lymphocyte homing to lymph nodes relies on CCL21 chemokine sensing by CCR7 receptors, while exit into efferent lymphatics relies on sphingolipid S1P sensing by S1PR1 receptors. While both molecules are claimed chemotactic, a quantitative analysis of naive T lymphocyte migration along defined gradients is missing. Here, we used a reductionist approach to study the real-time single-cell response of naive T lymphocytes to CCL21 and serum rich in bioactive S1P. Using microfluidic and micropatterning ad hoc tools, we show that CCL21 triggers stable polarization and long-range chemotaxis of cells, whereas S1P-rich serum triggers a transient polarization only and no significant displacement, potentially representing a brief transmigration step through exit portals. Our invitro data thus suggest that naive T lymphocyte chemotax long distances to CCL21 but not toward a source of bioactive S1P.

Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism

Lipids play fundamental roles in regulating agronomically important traits. Advances in plant lipid metabolism have until recently largely been based on reductionist approaches, although modulation of its components can have system-wide effects. However, existing models of plant lipid metabolism provide lumped representations, hindering detailed study of component modulation. Here, we present the Plant Lipid Module (PLM) which provides a mechanistic description of lipid metabolism in the Arabidopsis thaliana rosette. We demonstrate that the PLM can be readily integrated in models of A. thaliana Col-0 metabolism, yielding accurate predictions (83%) of single lethal knock-outs and 75% concordance between measured transcript and predicted flux changes under extended darkness. Genome-wide associations with fluxes obtained by integrating the PLM in diel condition- and accession-specific models identify up to 65 candidate genes modulating A. thaliana lipid metabolism. Using mutant lines, we validate up to 40% of the candidates, paving the way for identification of metabolic gene function based on models capturing natural variability in metabolism.

<em>Ex ante</em> analysis of circular built environment policy coherence

As European governments adopt new circular built environment policies to cope with the socio-ecological crisis, the need for evaluating such policies gains in urgency. Ex post evaluation is, however, difficult as these policies have not been in place long enough to have had significant effects. Nonetheless, ex ante policy evaluation may be possible by assessing policy coherence or the alignment and synergies of policy goals, instruments and implementation practices. This paper proposes a framework to analyse circular built environment policies. This framework is based on a combination of two existing analytical frameworks: circular city development and policy coherence analysis. The framework is tested for the case of a circular built environment in campus development at Delft University of Technology in the Netherlands, which is regarded as an urban development proxy. Policy documents and semi-structured interviews were analysed and coded. Results confirm previous findings about a prevailing focus on looping actions and indicates limited policy instrumentalisation across governance levels. Identified multilevel (in)coherence in circular city policy is pointed out as consequence of siloed-led and supply chain-based thinking and underdeveloped circular policy frameworks. Finally, the analytical benefits of circular city development and policy coherence frameworks are discussed. Policy relevance Circular economy policies are conceptually limited in delivering a more circular city and built environment. By proposing and testing a circular city policy coherence framework, this article reveals the limited effect of circular economy policies in coping with unsustainable urbanisation. Policymaking and implementation for circularity in the built environment require frameworks that embrace urban complexities instead of reductionist approaches seeing the built environment as a mere agglomeration of supply-chains. Policymakers may use the proposed circular city policy coherence framework as a tool for ex ante policy evaluation in diverse areas of urban development, and specifically for built environment interventions. The combination of both content- and process-based frameworks enables the identification of possible (in)coherence in current and future policy goals, instruments and implementation practices. This can improve policy in early stages of implementation and create more effective policy outputs and outcomes in the long term.

Development of a Systems Medicine Approach to Spinal Cord Injury.

Traumatic spinal cord injury (SCI) causes a sudden onset multi-system disease, permanently altering homeostasis with multiple complications. Consequences include aberrant neuronal circuits, multiple organ system dysfunctions, and chronic phenotypes such as neuropathic pain and metabolic syndrome. Reductionist approaches are used to classify SCI patients based on residual neurological function. Still, recovery varies due to interacting variables, including individual biology, comorbidities, complications, therapeutic side effects, and socioeconomic influences for which data integration methods are lacking. Infections, pressure sores, and heterotopic ossification are known recovery modifiers. However, the molecular pathobiology of the disease-modifying factors altering the neurological recovery-chronic syndrome trajectory is mainly unknown, with significant data gaps between intensive early treatment and chronic phases. Changes in organ function such as gut dysbiosis, adrenal dysregulation, fatty liver, muscle loss, and autonomic dysregulation disrupt homeostasis, generating progression-driving allostatic load. Interactions between interdependent systems produce emergent effects, such as resilience, that preclude single mechanism interpretations. Due to many interacting variables in individuals, substantiating the effects of treatments to improve neurological outcomes is difficult. Acute injury outcome predictors, including blood and cerebrospinal fluid biomarkers, neuroimaging signal changes, and autonomic system abnormalities, often do not predict chronic SCI syndrome phenotypes. In systems medicine, network analysis of bioinformatics data is used to derive molecular control modules. To better understand the evolution from acute SCI to chronic SCI multi-system states, we propose a topological phenotype framework integrating bioinformatics, physiological data, and allostatic load tested against accepted established recovery metrics. This form of correlational phenotyping may reveal critical nodal points for intervention to improve recovery trajectories. This study examines the limitations of current classifications of SCI and how these can evolve through systems medicine.

Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms

Wearable technology enables unobtrusive collection of longitudinally dense data, allowing for continuous monitoring of physiology and behavior. These digital phenotypes, or device-based indicators, are frequently leveraged to study depression. However, they are usually considered alongside questionnaire sum-scores which collapse the symptomatic gamut into a general representation of severity. To explore the contributions of passive sensing streams more precisely, associations of nine passive sensing-derived features with self-report responses to Center for Epidemiologic Studies Depression (CES-D) items were modeled. Using data from the NetHealth study on N=469 college students, this work generated mixed ordinal logistic regression models to summarize contributions of pulse, movement, and sleep data to depression symptom detection. Emphasizing the importance of the college context, wearable features displayed unique and complementary properties in their heterogeneously significant associations with CES-D items. This work provides conceptual and exploratory blueprints for a reductionist approach to modeling depression within passive sensing research.

From Reductionistic Approach to Systems Immunology Approach for the Understanding of Tumor Microenvironment.

The tumor microenvironment (TME) is a complex and dynamic ecosystem that includes a variety of immune cells mutually interacting with tumor cells, structural/stromal cells, and each other. The immune cells in the TME can have dual functions as pro-tumorigenic and anti-tumorigenic. To understand such paradoxical functions, the reductionistic approach classifies the immune cells into pro- and anti-tumor cells and suggests the therapeutic blockade of the pro-tumor and induction of the anti-tumor immune cells. This strategy has proven to be partially effective in prolonging patients' survival only in a fraction of patients without offering a cancer cure. Recent advances in multi-omics allow taking systems immunology approach. This essay discusses how a systems immunology approach could revolutionize our understanding of the TME by suggesting that internetwork interactions of the immune cell types create distinct collective functions independent of the function of each cellular constituent. Such collective function can be understood by the discovery of the immunological patterns in the TME and may be modulated as a therapeutic means for immunotherapy of cancer.

Mind-brain identity theory confirmed?

Presented here is a novel graphical, structural, and functional model of the embodied mind. Despite strictly adhering to a physicalistic and reductionist approach, this model successfully resolves the apparent contradiction between the thesis regarding the causal closure of the physical realm and the widely held common-sense belief that the mental realm can influence physical behavior. Furthermore, it substantiates the theory of mind-brain identity while shedding light on its neural foundation. Consciousness, viewed as an epiphenomenon in certain respects, simultaneously possesses causal potency. These two aspects operate concurrently through distinct brain processes. Within the paper, particular emphasis is placed on the significance of qualia and emotions, accompanied by an explanation of their phenomenal nature grounded in the perceptual theory of emotions. The proposed model elucidates how autonomous agents can deliberate on various action scenarios and consciously select the most optimal ones for themselves, considering their knowledge of the world, motivations, preferences, and emotions.

Modeling the Inflammatory Response of Traumatic Brain Injury Using Human Induced Pluripotent Stem Cell Derived Microglia.

The neuroinflammatory response after traumatic brain injury (TBI) is implicated as a key mediator of secondary injury in both the acute and chronic periods after primary injury. Microglia are the key innate immune cell in the central nervous system, responding to injury with the release of cytokines and chemokines. In this context, we aimed to characterize the downstream cytokine response of human induced pluripotent stem cell (iPSC)-derived microglia when stimulated with five separate cytokines identified after human TBI. The iPSC-derived microglia were exposed to interleukin (IL)-1β, IL-4, IL-6, IL-10, and tumor necrosis factor (TNF) in the concentration ranges identified in clinical TBI studies. The downstream cytokine response was measured against a panel of 37 separate cytokines over a 72h time-course. The secretome revealed concentration-, time- and combined concentration and time-dependent downstream responses. TNF appeared to be the strongest inducer of downstream cytokine changes (51), followed by IL-1β (26) and IL-4 (19). IL-10 (11) and IL-6 (10) produced fewer responses. We also compare these responses with our previous studies of iPSC-derived neuronal and astrocyte cultures and the in vivo human TBI cytokine response. Notably, we found microglial culture to induce both a wider range of downstream cytokine responses and a greater fold change in concentration for those downstream responses, compared with astrocyte and neuronal cultures. In summary, we present a dataset for human microglial cytokine responses specific to the secretome found in the clinical context of TBI. This reductionist approach complements our previous datasets for astrocyte and neuronal responses and will provide a platform to enable future studies to unravel the complex neuroinflammatory network activated after TBI.

Microbiome specificity and fluxes between two distant plant taxa in Iberian forests

BackgroundPlant-associated microbial communities play important roles in host nutrition, development and defence. In particular, the microbes living within internal plant tissues can affect plant metabolism in a more intimate way. Understanding the factors that shape plant microbial composition and discovering enriched microbes within endophytic compartments would thus be valuable to gain knowledge on potential plant–microbial coevolutions. However, these interactions are usually studied through reductionist approaches (in vitro models or crop controlled systems). Here, we investigate these ecological factors in wild forest niches using proximally located plants from two distant taxa (blueberry and blackberry) as a model.ResultsAlthough the microbial communities were quite similar in both plants, we found that sampling site had a high influence on them; specifically, its impact on the rhizosphere communities was higher than that on the roots. Plant species and sample type (root vs. rhizosphere) affected the bacterial communities more than the fungal communities. For instance, Xanthobacteraceae and Helotiales taxa were more enriched in roots, while the abundance of Gemmatimonadetes was higher in rhizospheres. Acidobacteria abundance within the endosphere of blueberry was similar to that in soil. Several taxa were significantly associated with either blackberry or blueberry samples regardless of the sampling site. For instance, we found a significant endospheric enrichment of Nevskia in blueberry and of Sphingobium, Novosphingobium and Steroidobacter in blackberry.ConclusionsThere are selective enrichment and exclusion processes in the roots of plants that shapes a differential composition between plant species and sample types (root endosphere—rhizosphere). The special enrichment of some microbial taxa in each plant species might suggest the presence of ancient selection and/or speciation processes and might imply specific symbiosis. The selection of fungi by the host is more pronounced when considering the fungal trait rather than the taxonomy. This work helps to understand plant–microbial interactions in natural ecosystems and the microbiome features of plants.

The Role of Religion in Domestic Violence and Abuse in UK Muslim Communities

Abstract Existing research on the role of faith in the aftermath of domestic violence and abuse (DVA) often fails to adequately situate the role played by religion throughout the DVA trajectory. This article draws on qualitative research conducted with 10 Muslim female survivors and 9 professionals providing support in DVA cases to investigate the nature, occurrence, and impact of DVA within Muslim religious communities. This article specifically explores the role of religion at four levels; individual psycho-social-spiritual level, the level of additional stakeholders, within the context of intersectionality, and at a macro-societal level. It is argued that religion and practice of faith plays a nuanced role at each of these levels. The research found that holistic approaches to faith resulted in faith manifesting as an empowering resource for DVA survivors. Reductionist and androcentric approaches to faith however resulted in the enabling and continuation of abuse and abusive structures. Findings indicate the need for service provision to provide tailored and culturally informed support to Muslim clients, particularly in relation to faith. The web model of DVA provides a structured framework through which this can be achieved.

Comparative Thermodynamic and Structural Analysis of Polyfluorinated Dodecylphosphonic Acid Adsorption to Distilled and River Water Interfaces.

As concerns rise about the health risks posed by per- and polyfluoroalkyl substances (PFAS) in the environment, there is a need to understand how these pollutants accumulate at environmental interfaces. Untangling the details of molecular adsorption, particularly when there are potential interactions with other molecules in environmental systems, can obscure the ability to focus on a particular contaminant with molecular specificity. Often adsorption studies of environmental interfaces require a reductionist approach, where laboratory experiments may not be fully tractable to environmental systems. In this work, we study polyfluorinated dodecylphosphonic acid (F21-DDPA) at the aqueous surfaces of distilled water (the most reduced "environmental" surface) and river water to explore the use of vibrational sum-frequency (VSF) spectroscopy as an experimental probe of fluorinated contaminants at natural environmental surfaces. We demonstrate how VSF spectroscopy offers advantages over nonspecific surface tension measurements when measuring PFAS adsorption isotherms at river water surfaces. VSF spectra of the C-F stretching region selectively probe the presence of F21-DDPA and can be used to extract meaningful structural insights and calculate surface concentrations, even at the complex river water surface. This study highlights the potential for VSF spectroscopy to be developed as a probe of fluorinated contaminants at natural environmental interfaces.

Theological Method of Chinese Theology in the Republican Era (1911–1949)

Abstract The underlying framework of Chinese theology began to take shape in the Republican Era (1911–1949). After surveying three crucial contemporary works on Chinese theology, I highlight an urgent need to develop a meticulous theological method that recognizes theology’s contextual nature, conquers the liberal-conservative and elitist-grassroots dichotomous divide, and adapts to the “post-world” in the third millennium. Then I analyze the methodologies adopted by Wang Mingdao and Watchman Nee (Ni Tuosheng) by studying the starting point, orienting questions and sources for their theology. By avoiding a reductionist approach, I designate Wang’s method as ecclesial apologetics and pragmatic ethics, and Nee’s as doctrinal recovery and prophetic fulfillment. The comparison of their method yields some hitherto unnoticed insights which might prove valuable to formulating a contemporary Chinese theology in the third millennium.

Genomics for Yield and Yield Components in Durum Wheat.

In recent years, many efforts have been conducted to dissect the genetic basis of yield and yield components in durum wheat thanks to linkage mapping and genome-wide association studies. In this review, starting from the analysis of the genetic bases that regulate the expression of yield for developing new durum wheat varieties, we have highlighted how, currently, the reductionist approach, i.e., dissecting the yield into its individual components, does not seem capable of ensuring significant yield increases due to diminishing resources, land loss, and ongoing climate change. However, despite the identification of genes and/or chromosomal regions, controlling the grain yield in durum wheat is still a challenge, mainly due to the polyploidy level of this species. In the review, we underline that the next-generation sequencing (NGS) technologies coupled with improved wheat genome assembly and high-throughput genotyping platforms, as well as genome editing technology, will revolutionize plant breeding by providing a great opportunity to capture genetic variation that can be used in breeding programs. To date, genomic selection provides a valuable tool for modeling optimal allelic combinations across the whole genome that maximize the phenotypic potential of an individual under a given environment.

Evolution or revolution to programmatic assessment: Considering unintended consequences of assessment change

Assessment in the health professions is transforming. The widespread dominance of a reductionist measurement-based approach over the past 50 years is shifting towards a preference for more authentic assessment designed to promote and support learning. Assessment as a series of individual barriers, each to be surmounted, is being discarded in favour of systems of assessment designed to scaffold learner development and ensure sufficient opportunities for achievement. The intentions of these changes are to avoid the negative impacts of previous assessment approaches, such as strategic gaming, unhealthy competition and a predominance of book study, over immersion in clinical environments. However, unintended outcomes need to be considered when planning such transformative assessment change—both for those engaged in incremental evolutionary change and for those taking a more rapid or revolutionary approach. We explore three key features of programmatic assessment: longitudinal use of multiple assessment formats, a focus on assessment for learning and collation of data by attribute for decision making. We highlight the intended and possible unintended outcomes related to these features from the perspective of evolutionary and revolutionary approaches to change. We postulate that careful consideration of unintended outcomes is essential when planning significant assessment redesigns in health professional education. Anticipating unintended outcomes might also provide both the motivation and rationale to advance assessment practice into the next 50 years—particularly in the areas of enhancements in technology and collaborations across and between education providers.

A network approach to atomic spectra

Network science provides a universal framework for modeling complex systems, contrasting the reductionist approach generally adopted in physics. In a prototypical study, we utilize network models created from spectroscopic data of atoms to predict microscopic properties of the underlying physical system. For simple atoms such as helium, an a posteriori inspection of spectroscopic network communities reveals the emergence of quantum numbers and symmetries. For more complex atoms such as thorium, finer network hierarchies suggest additional microscopic symmetries or configurations. Furthermore, link prediction in spectroscopic networks yields a quantitative ranking of yet unknown atomic transitions, offering opportunities to discover new spectral lines in a well-controlled manner. Our work promotes a genuine bi-directional exchange of methodology between network science and physics, and presents new perspectives for the study of atomic spectra.