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This entry examines pricing capabilities in B2B, challenging economic price theory assumptions by spotlighting the impact of firm-specific resources and capabilities on pricing strategies. Departing from traditional economic models that oversimplify market dynamics, this study draws on the resource-based view to emphasize how firms’ unique resources dictate their pricing success. It introduces the
The success in the adoption of autonomous vehicles is dependent on their ability to solve rarely occurring safety-critical corner cases. Vehicular communications (V2X) aim at improving safety and efficiency of autonomous driving by adding the capability of explicit inter-vehicular information exchange. We argue that V2X enables another important function, namely the support of ethical driving deci
High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate in vivo cell behavior than two-dimensional (2D) models. However, assessing and comparing current 3D models for drug efficacy remains essential, given the significant influence of cellular conditions on treatment response. To develop in vivo mimic
In this study, the thermal behavior in a Type IV hydrogen storage tank during fast charging was investigated by establishing a 2-dimensional axisymmetric model. The thermal properties of the real high-pressure hydrogen were considered and obtained from REFPROP software. The computing mesh with 15312 girds, the time step of 0.001 s, and the Realizable k-ε turbulence model were chosen to simulate hi
Recognising the increasing complexities posed by climate challenges to urban environments, it is crucial to develop holistic capabilities for urban areas to effectively respond to climate-related risks, forming the backbone of sustainable urban planning strategies and demanding a comprehensive understanding of urban climate justice. It requires a thorough examination of how climate change exacerba
This study investigates the interaction of KEIF, the intrinsically disordered N-terminal region of the magnesium transporter MgtA, with lipid bilayers mimicking cell membranes. Combining experimental techniques such as neutron reflectometry (NR), quartz-crystal microbalance with dissipation monitoring (QCM-D), synchrotron radiation circular dichroism (SRCD), and oriented circular dichroism (OCD),
What does it mean for a business or industry to be and do good? And who can count themselves within the good economy? This article investigates the justification of goodness in mineral exploration and mining and uses the entwinement between value creation and destruction characteristic of mining to trouble notions of goodness in impactful industries. Based on analyses of indepth interviews, ethnog
Human rights defenders, social leaders, and environmental and indigenous activists fight for political, cultural, social, economic, and environmental rights and often face intimidation and violence as a consequence. In this article, we analyze how the implementation of the peace agreement signed in 2016 between the government of Colombia and the FARC-EP guerrilla group affects environment and huma
Geometry projection-based topology optimization has attracted a great deal of attention because it enables the design of structures consisting of a combination of geometric primitives and simplifies the integration with computer-aided design (CAD) systems. While the approach has undergone substantial development under the assumption of linear theory, it remains to be developed for non-linear hyper
Purpose: Oligometastatic gastroesophageal cancer is a clinical entity with no standard treatment recommendation. Treatment with curative intent has recently emerged as an option for selected patients in contrast to the traditional palliative treatment strategy. This prospective study aimed to assess the safety and efficacy of combined systemic and local treatment with curative intent for patients
A new metaheuristic optimizer combined with artificial neural networks is proposed for streamflow prediction. Hence, the study aimed to forecast monthly streamflow of the main rivers in Urmia, Iran, by considering data shortage and using artificial neural network (ANN) models. By combining three variables: temperature, precipitation, and streamflow, we formulated five patterns, where 70% of the da
The utilization of industrial side streams for generating value has always been of interest, but in today's society, with a high focus on the circular economy, it is becoming increasingly important. Lime mud (whose major component is calcium carbonate, CaCO3) is a low-value by-product of the pulp and paper industry that is generated in considerable amounts during the causticizing process. Designin
Due to the large-scale production of lignin, continuous flow reactors are preferred for its further valorization through depolymerization. However, there is limited literature on their use in lignin depolymerization, especially concerning feedstock pretreatments and catalyst deactivation. Therefore, in this study, the impact of a batch solvolysis pretreatment on the mild reductive catalytic depoly
Mild reductive catalytic depolymerization (MRCD) of lignin offers a sustainable route to produce functionalized aromatic compounds. However, the economic viability is hindered by the need for expensive palladium (Pd) catalysts and the limited exploration of continuous flow reactors (CFRs), which are essential to achieve an adequate production scale. This study examines the impact of partial replac
