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From Social Hubs to Silent Shops: The Impact of Unmanned Stores on Rural Community Life
This study explores how the emergence of unmanned stores impacts the sense of community in rural areas. It is set against the backdrop of increased urbanization, which threatens the survival of smaller rural communities. We study this through ethnographic inquiry into the emergence of unmanned stores. These have been introduced to counteract the depopulation of rural areas. We identify four ways i
Bystander behavior in workplace bullying : a vignette study exploring how organizational space and situational strength influence intentions to intervene
Purpose: The study explores how organizational space and situational strength influence bystanders’ intentions to intervene in workplace bullying within the healthcare sector. Design/methodology/approach: The research employs vignette-based interviews with 24 healthcare professionals from various medical fields in Sweden. The vignettes depict different bullying scenarios occurring in various spati
Fornamerikansk konst och arkitektur : Sydamerika
A multi-scaling approach showing a transient metabolic mismatch in a freshwater fish (Zingel asper) during an acute heat stress
Heat stress events will be more frequent and intense in the future. These events will challenge the capacity of organisms to exhibit sufficient metabolic flexibility to adapt to such variations. To better understand the acclimation processes implemented in response to acute warming, with an integrative approach we examined in vivo metabolic rate and cardiac mitochondrial respiration in the Rhône s
Integrative taxonomy, phylogeny and distribution patterns of the diverse Neotropical cloud forest butterfly genus Perisama Doubleday (Nymphalidae, Biblidinae, Callicorini)
Phylogenetic relationships of the predominantly Andean species-rich nymphalid genus Perisama are explored based on five genetic markers and a total of 3719 bps, and morphological characters of the adults with an emphasis on male genitalia and wing colour patterns. Its monophyly is recovered by including the genera Orophila, which turns out polyphyletic, and Mesotaenia. Two main, highly supported c
Extreme drought and its multifaceted impacts in a changing environment
Persistent increase of Nogo-A-positive cells and dynamic reduction in oligodendroglia lineage cells in white matter regions following experimental and clinical traumatic brain injury
White matter (WM) disruption and atrophy is a consequence of traumatic brain injury (TBI) and contributes to persisting cognitive impairment. An increased expression of the myelin-associated axonal outgrowth inhibitor Nogo-A and oligodendrocyte pathology might be negatively associated with postinjury WM changes. Here, we analyzed brain tissue from severe TBI patients, obtained by surgical decompre
Bilayer orthogonal ferromagnetism in CrTe2-based van der Waals system
Systems with pronounced spin anisotropy are pivotal in advancing magnetization switching and spin-wave generation mechanisms that are fundamental to spintronic technologies. Quasi-van der Waals ferromagnets like Cr1+δTe2 represent seminal materials in this field, renowned for their delicate balance between frustrated layered geometries and magnetism. Despite extensive investigation, the nature of
Explaining and Understanding Trump's 'America First Trade Policy'
Characterization of Portable Ultra-Low Field MRI Scanners for Multi-Center Structural Neuroimaging
The lower infrastructure requirements of portable ultra-low field MRI (ULF-MRI) systems have enabled their use in diverse settings such as intensive care units and remote medical facilities. The UNITY Project is an international neuroimaging network harnessing this technology, deploying portable ULF-MRI systems globally to expand access to MRI for studies into brain development. Given the wide ran
Charge carrier dynamics controlling performance of lead-based halide perovskite solar cells
We review our studies to assess charge carrier dynamics inside a perovskite film and interfacial charge transfer dynamics for a perovskite layer sandwiched by an electron transporting layer (ETL) such as TiO2 compact or mesoporous layer and a hole transporting layer (HTL) such as spiro-OMeTAD. Both electron and hole injection occur faster than electron-hole recombination inside a perovskite film,
Gene expression-based identification of prognostic markers in lung adenocarcinoma
Introduction Many studies have aimed at identifying additional prognostic tools to guide treatment choices and patient surveillance in lung cancer by assessing the expression of individual proteins through immunohistochemistry (IHC) or, more recently, through gene expression-based signatures. As a proof-of-concept, we used a multi-cohort, gene expression-based discovery and validation strategy to
A shift in Japan’s fight against child sex tourism in Asia
Japan’s warning wasn’t triggered by a government audit or diplomatic scandal. It came because a citizen saw concerning social media posts and decided to act.
Illuminating the Invisible: Green Fluorescent Protein as a Beacon for Antibiotic-Induced Phage Activity in Escherichia coli.
Background/Objectives: Antibiotic resistance presents an urgent public health threat. By developing a streamlined and effective method for studying bacteriophage induction, this research marks a step further in understanding how antibiotic-resistant genes might spread across different environments. This knowledge is essential for creating strategies to reduce the spread of antimicrobial resistanc
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Tumor response mechanisms and treatment effects of alpha1-oleate
Impact of different carbon labels on consumer inference
Carbon labelling of food products serves as a demand-side tool with the potential to drive the essential shift in consumption patterns toward reducing climate impact. For carbon labels to influence food choices, they must enable consumers to recognize and adopt purchasing behaviour that lower their climate footprint. While inference plays a critical role in facilitating behavioural change, evidenc
Using SILMAS to improve machine learning-assisted quantification of pathology
In this study, we investigate the benefits of using structured illumination light-sheet microscopy with axial sweeping (SILMAS) in the context of neural network-assisted quantification of pathology in volumetric data. A bottleneck for training a neural network is the availability of manually labeled training data that adequately covers the variance in unseen samples, allowing the network to correc
