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Personality and conceptions of religiosity across the world's religions

Research assessing personality traits and religiosity across cultures has typically neglected variation across religious affiliations and has been limited to a small number of personality traits. This study examines the relationship between the Big Five personality traits and their facets, two theoretically distinct measures of religiosity, and twelve other personality traits across seven religiou

Why intervention in Afghan media failed to provide support for peace talks

This article presents and discusses data from two research methods on journalism in Afghanistan before the Taliban takeover of power in August 2021. News reports from the time of the intra-Afghan peace talks in September 2020 were analyzed using the Peace Journalism model. These were found to be predominantly War Journalism, leaving audiences cognitively primed for violent conflict responses and l

‘It Serves More Than One Purpose’ : Pastoral power and the instrumentality of caring leadership

This paper addresses the conflict between an ethics of care and instrumental concerns in caring leadership. Caring leadership has become increasingly popular in organisation and management studies, encompassing a view of leadership that emphasises that paying attention to relational concerns is a fundamental duty of managers in contemporary organisations. It emphasises leaders seeing employees not

Peace Journalism Training for Journalists as a Contribution to PVE in the New Afghanistan

This article presents and discusses results from an exercise in comparative content analysis of news articles about issues of conflict produced by Afghan journalists before and after participating in an internationally sponsored training and mentorship programme in Peace Journalism. The programme was part of a Preventing Violent Extremism (PVE) project, intended to create community resources for r

Improving the performance of daily pan evaporation (Evp) prediction using the ensemble empirical mode decomposition combined with deep learning models

This study presents a novel approach for the prediction of daily pan evaporation (Evp) based on identifying an optimal combination of model inputs. The Kardeh Dam catchment area in northeastern Iran, where significant evaporation occurs, was investigated in this study. Initially, an appropriate combination of inputs was identified through the gamma test and genetic algorithm (GTGA). Using the ense

Lessons from the African Union Mission for Somalia (AMISOM) for peace operations in Mali

Mali and Somalia have both suffered determined Islamist-inspired insurgencies, and in both African Union-led peace operations have been a central pillar in political and security stabilization efforts. Despite challenges in transferring lessons between unique situations, the AMISOM experience can offer some useful lessons for Mali. We have identified several themes that helped to drive success for

Light-flavor particle production in high-multiplicity pp collisions at s= 13 TeV as a function of transverse spherocity

Results on the transverse spherocity dependence of light-flavor particle production (π, K, p, ϕ, K*0, KS0, Λ, Ξ) at midrapidity in high-multiplicity pp collisions at s = 13 TeV were obtained with the ALICE apparatus. The transverse spherocity estimator SOp categorizes events by their azimuthal topology. Utilizing narrow selections on SOp, it is possible to contrast particle production in collision

A Model of Froth Flotation with Drainage : Simulations and Comparison with Experiments

The model of the operation of a froth flotation column is described by a nonlinear convection–diffusion partial differential equation that incorporates the solids–flux, and drift–flux theories as well as a model of foam drainage. The resulting model is novel and contains non-standard ingredients such as discontinuous fluxes and degenerating diffusion accounting for foam drainage. It predicts the b

From Sound to Structure : Robust Localization of Sources, Sensors, and Surroundings

The topic of this thesis is how to infer geometric information using sound data. Achieving this requires solving several subproblems. First, signal processing of the recorded sound is needed to compute measurements of primitive geometric relations. Secondly, robust estimation is needed to go from primitive geometric measurements to more useful higher-level information such as the locations of micr

Boosting catalytic performance of ternary FeCoNi yolk-shelled nanoreactors for organic reactions via low-content active metal decoration

Nanoreactors have attracted extensive research and attention in the field of catalysis due to their unique surface/interface structures and physicochemical properties. However, conventional nanoreactors have limited catalytic performance due to the confinement of their active components in the “nanochamber”. Herein, low-content active metal (AM, AM = Pd, Cu) decorated yolk-shelled FeCoNiOx (AM/FeC

Efficient near-field ptychography reconstruction using the Hessian operator

X-ray ptychography is a powerful and robust coherent imaging method providing access to the complex object and probe (illumination). Ptychography reconstruction is typically performed using first-order methods due to their computational efficiency. Higher-order methods, while potentially more accurate, are often prohibitively expensive in terms of computation. In this study, we present a mathemati