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Packaging logistics and retailers´ profitability: an IKEA case study

Many businesses still put too much focus on manufacturing, marketing and sales without considering the inter-linkages amongst these elements. This paper shows the importance of including packaging logistics and supply chain management in strategic planning. By integrating these aspects, retailers and suppliers may reduce costs, environmental impact and increase profits. A case study at IKEA is use

Effects of age of acquisition (AoA) and proficiency on processing of syntax in 6- to 8-year old monolingual and bilingual children: an ERP study

Even though language proficiency in children is strongly related to success in almost all domains, neurocognitive studies of L2 processing are typically limited to adults with several years of exposure, who may use general cognitive mechanisms to compensate for any difficulties in L2 processing. For example, whereas previous studies of adult bilinguals have reported differences in the anterior neg

Globalisation of Markets and Products

During the past decade, production of products has increasingly been relocated to countries outside the western industrialised area, while consumption of the same products in the west has increased to a considerable extent. Implementation of national policies for limiting the environmental and health impacts of production has encountered a number of difficulties as a result. Policy instruments, no

Psychosocial Well-Being of Young People Who Participated in a Support Group Following the Loss of a Parent to Cancer

Despite the evidence of unmet support needs among young people who have lost a parent to cancer, only a few support group initiatives have been reported. This observational prospective study explored the psychosocial well-being of young people who participated in support groups at a Swedish specialist palliative care setting. On three occasions, 29 participants, aged 16–28 years, answered question

Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis

Bayesian inference under a set of priors, called robust Bayesian analysis, allows for estimation of parameters within a model and quantification of epistemic uncertainty in quantities of interest by bounded (or imprecise) probability. Iterative importance sampling can be used to estimate bounds on the quantity of interest by optimizing over the set of priors. A method for iterative importance samp

A model of wild bee populations accounting for spatial heterogeneity and climate-induced temporal variability of food resources at the landscape level

The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions bet

Grundläggande svensk internationell privat- och processrätt

Vi lever i en tid när gränsöverskridande rättsförhållanden blir en allt mer naturlig del av vår vardag. Med det ökade antalet internationella rättsförhållanden ökar också antalet potentiella tvister som har anknytning till mer än ett land. Makar med olika medborgarskap kanske kommer att vilja skiljas och den köpta produkten från det andra landet kanske var felaktig. När tvister av den här typen sk

The Effect of Consumer Values on Engagement and Behavioral Intent : Moderating Role of Age

The rise of online brand communities has transformed consumer/brand interactions, thus affecting consumer engagement and its nomological network. However, scholarly understanding regarding the effect of consumer values on their online engagement remains tenuous. Addressing this gap, we conceptualize a model that attempts to understand the relative effect of consumers’ values (terminal and instrume

Revolutionizing Food Production : Integrating Industry 4.0 and Carbon Neutral Strategies for a Sustainable Future

The food industry is actively adopting carbon neutral strategies aligned with the principles of Industry 4.0 to establish long-term goals for reducing carbon emissions and accelerating the transition to a low-carbon food production industry. Industry 4.0, often referred to as the fourth industrial revolution, emphasizes the integration of digital technologies, automation, and data exchange into ma

Migrating Young Unaccompanied Children and the Mobile Commons : Law, Vulnerability, and the Practice of Family Reunification in Sweden

In this article I call for an awareness of the mobile commons– the informal support that exists among migrating people, NGOs, and activists – in relation to the realization of family reunification. Taking its point of departure in a concrete case of family reunification for young unaccompanied children, the article seeks to expose how the traditional legal notion of the liberal subject fails to pr

Assessing erythroferrone and iron homeostasis in preeclamptic and normotensive pregnancies : A retrospective study

Introduction: Preeclampsia (PE) is a pregnancy-related disorder associated with maternal hypertension and placental dysfunction. A significant micronutrient during pregnancy is iron, which is important in cellular functions. While iron absorption increases in pregnancy, little is known about the exact mechanisms regulating maternal iron levels and transfer through the placenta in normal and compli

The influence of “bad news” and “neutral/good news” on patients' perception of physician empathy during oncology consultations

ObjectivesBeing met with empathy increases information sharing, treatment coherence, and helps patients to recover faster. However, we do not know how the content of the conversation about disease progression, new treatments, or other issues concerning serious illness affects patients' perceptions of the physician's empathy, and thus, the quality of the conversation. This study aimed to test the h

Using quantum annealing to design lattice proteins

Quantum annealing has shown promise for finding solutions to difficult optimization problems, including protein folding. Recently, we used the D-Wave Advantage quantum annealer to explore the folding problem in a coarse-grained lattice model, the HP model, in which amino acids are classified into two broad groups: hydrophobic (H) and polar (P). Using a set of 22 HP sequences with up to 64 amino ac