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Purpose: The purpose of this study is to examine how different innovation efforts can support multinational enterprises’ (MNEs’) pursuits of sustainable development goals (SDGs) in emerging markets and under what circumstances they are applied. Design/methodology/approach: The article comprises in-depth case studies on two high-profile Swedish MNEs: a telecom firm and a fast-fashion firm, with dat
This study aimed to identify characteristics of workers experiencing health problems without a decline in labor productivity to address presenteeism. A cross-sectional analysis was conducted on 554 workers in Japan, with a median age of 43 years. Participants reported any health problems in the past month, along with job stressors, stress responses, social support, and job and life satisfaction us
Background: Genital malformations are frequently diagnosed in patients with VACTERL, but are currently not included in the acronym. This study aimed to analyze the frequency of genital anomalies in patients with esophageal atresia (EA) and/or anorectal malformation (ARM), with a subgroup analysis of children fulfilling the VACTERL criteria. Method: This was a cross-sectional retrospective analysis
Animal migration is a fascinating phenomenon that has puzzled mankind since the time of ancient Greece. It is a process widespread across a varied range of taxa and it shines especially in birds which, because of their mobility, display an amazing diversity of routes and strategies. With the advances in tracking devices and improvements of sequencing technologies, recent work provides support for
Smart polymers have received much attention due to their different responses to the induced stimuli. Polymers with fluorescent properties are also appealing for their potential applications in fluorescence chemosensors, optoelectronics, molecular thermometers, organic light-emitting diodes, molecular imaging, storage data security, drug delivery carriers, and encryption. Fluorescence resonance ene
Stimuli-responsive polymer nanoparticles were synthesized by surfactant-free dispersion polymerization of styrene and 2-(dimethylamino)ethyl methacrylate (DMAEMA) in three different contents of divinylbenzene intraparticle crosslinking agent. Incorporation of the hydrophilic DMAEMA comonomer during the polymerization yielded pH-responsive nanogels with a higher size than the polystyrene nanopartic
Academic discussion of climate-related human mobility has understandably focused on the places where people are especially vulnerable to climate-related harm: the Global South. Yet, the unique biophysical, legal and socio-political characteristics of the Nordic region, as well as its roles as both ‘home’ and ‘host’ to climate-related mobilities, justify its independent attention. Filling this lacu
Dual temperature- and photoresponsive polymer nanoparticles with sensitivity toward temperature variation through fluorescence resonance energy transfer (FRET)-assisted white light emission (WLE) were synthesized using distillation-precipitation polymerization. A fluorescence chemosensor of temperature, white light-emitting anticounterfeiting inks, and different products for security encryption of
Sweden has an immigrant-native wage gap. Although the impact of educational attainment and other variables have been studied, the impact of specific personality traits analyzed separately on the wage gap remains poorly understood. In this study, we used a unique dataset that usually contains unobserved personality traits evaluated by psychologists during the Swedish military conscription, as well
The temporal aspect of groundwater vulnerability to contaminants such as nitrate is often overlooked, assuming vulnerability has a static nature. This study bridges this gap by employing machine learning with Detecting Breakpoints and Estimating Segments in Trend (DBEST) algorithm to reveal the underlying relationship between nitrate, water table, vegetation cover, and precipitation time series, t
Large language models for artificial intelligence applications require energy-efficient computing. Neuromorphic photonics has the potential to reach significantly lower energy consumption in comparison with classical electronics. A recently proposed memlumor device uses photoluminescence output that carries information about its excitation history via the excited state dynamics of the material. So
Simultaneous digital breast tomosynthesis and mechanical imaging (DBTMI), a novel screening approach, combines anatomic DBT with functional analysis of the stress distribution on the compressed breast by mechanical imaging (MI). Preliminary studies suggest potential to reduce false positive findings. DBTMI requires to align DBT and MI images. In this study, we have analyzed robustness to alignment
In this study, we assess the impact of an image restoration pipeline, designed for digital mammography, on the detectability of microcalcifications of different sizes across varied radiation exposures. The restoration pipeline first removes the noise of the image considering a Poisson-Gaussian noise model that incorporates quantum and electronic noise. Then, it appropriately merges the noisy and d
Introduction: Lymph node fine-needle aspiration cytology (LN-FNAC) is a common, rapid, minimally invasive and cost-effective diagnostic method. For mediastinal lymph nodes, endobronchial ultrasound (EBUS) guided LN-FNAC is a first-line investigation and has an indispensable role in the diagnosis and staging of patients with suspected lung cancer. Recently, a new WHO system has been proposed for cl
Previous studies have reported that patients with borderline personality disorder (BPD) often have negative experiences in psychiatric inpatient care. To address this issue, a novel intervention known as patient-initiated brief admission (PIBA) has been developed. PIBA offers a constructive approach to crisis management in situations of heightened anxiety, as well as during instances of self-harm
Breast cancer has a profound affect on society. The survival for women in low- and middle-income countries (LMICs) is poor compared to in high-income countries (HICs). The lack of timely diagnosis is one of the main factors contributing to the poor outcomes for women in LMICs. Point-of-care ultrasound (POCUS) combined with a deep learning (DL) classification network could potentially be a suitable
