This article comprehensively reviews and critiques theories providing an aetiological account of stalking. We evaluate applications of preexisting psychological theories to stalking (attachment theory, evolutionary theory, social learning theory, information processing models of aggression, coercive control theory, and behavioural theory) as well as the only novel theory of stalking to date: Relational goal pursuit theory. Our aim was to identify which are supported by research, identify gaps in theoretical scope and explanatory depth and examine how current theories might inform clinical practice. This evaluation suggests that theories of stalking are underdeveloped relative to other areas of forensic clinical psychology and the theoretical literature is relatively stagnant. Consequently, there is limited research into clinically meaningful constructs that can guide the assessment, formulation and treatment of this client group. We identify similarities across existing theories, discussing implications for future research and clinical practice with people who stalk.
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http://dx.doi.org/10.1002/bsl.2598 | DOI Listing |
Croat Med J
December 2024
Iva Lončarić Kelečić, Department for Physical Therapy University Hospital Centre Zagreb Božidarevićeva 11, 10000 Zagreb, Croatia,
Aim: To ascertain whether Croatian respondents' knowledge on pain aligns with modern pain science, and determine the measurement properties of the Croatian version of the Concept of Pain Inventory for Adults (COPI-Adult).
Methods: A cross-sectional, online survey was used to collect the respondents' sociodemographic, clinical, and COPI-Adult (CRO) data (n = 509). A Pearson correlation coefficient test was used to assess the correlations between sociodemographic, clinical, and COPI-Adult (CRO) data.
J Chem Theory Comput
January 2025
Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India.
We present a directed electrostatics strategy integrated as a graph neural network (DESIGNN) approach for predicting stable nanocluster structures on their potential energy surfaces (PESs). The DESIGNN approach is a graph neural network (GNN)-based model for building structures of large atomic clusters with specific sizes and point-group symmetry. This model assists in the structure building of atomic metal clusters by predicting molecular electrostatic potential (MESP) topography minima on their structural evolution paths.
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January 2025
College of Materials Science and Engineering, Sichuan University, Chengdu, 610065, P. R. China.
Nickel hydroxide (Ni(OH)) is considered to be one of the most promising electrocatalysts for urea oxidation reaction (UOR) under alkaline conditions due to its flexible structure, wide composition and abundant 3D electrons. However, its slow electrochemical reaction rate, high affinity for the reaction intermediate *COOH, easy exposure to low exponential crystal faces and limited metal active sites that seriously hinder the further improvement of UOR activities. Herein it is reported electrocatalyst composed of rich oxygen-vacancy (O) defects with amorphous SeO-covered Ni(OH) (O-SeO/Ni(OH)).
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January 2025
School of Energy Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Inducing magnetic ordering in a non-ferrous layered double hydroxides (LDHs) instigates higher spin polarization, which leads to enhanced efficiency during oxygen evolution reaction (OER). In nano-sized magnetic materials, the concept of elongated grains drives domain alignment under the application of an external magnetic field. Hence, near the solid electrode interface, modified magnetohydrodynamics (MHD) positively impacts the electrocatalytic ability of non-ferrous nanocatalysts.
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