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Of values for management decision making

Husserlian phenomenological theory is offered as an integrated and integrating for an understanding of management decision making and related issues in work and organizational sciences. The aspects of meaning, meaning constitution, subjective processes, and perspectives, mutual understanding of each other´s perspective, individuals as horizons of possible worlds are central to this conception, mak

Understanding dependencies: Why safety, security and sustainability are increasingly challenging for cities and regions

Abstract in UndeterminedThe increasing effectiveness and efficiency of modern society is not only beneficial, but also liable for new or increased vulnerabilities. The seemingly ever-increasing complexity of modern society is in other words bringing new challenges for safety, security and sustainability. At the heart of these challenges lay an incremental increase in dependencies between sectors,

Pathways to Health and Well-being

Adverse early-life conditions have lasting effects on old-age health and mortality (Almond, 2006, Barker, 1992, Barker, 1994, Mazumder et al., 2010 and Roseboom et al., 2006). Some have even considered reductions in early life disease exposure to be a primary driver of historical mortality declines (Finch and Crimmins, 2004). Consequently, understanding the mechanisms through which early and later

A system for automated tracking of motor components in neurophysiological research

In the study of motor systems it is often necessary to track the movements of an experimental animal in great detail to allow for interpretation of recorded brain signals corresponding to different control signals. This task becomes increasingly difficult when analyzing complex compound movements in freely moving animals. One example of a complex motor behavior that can be studied in rodents is th

Oxidative addition of silanes R3SiH to the unsaturated cluster [Os3(µ-H){µ3-Ph2PCH2PPh(C6H4)}(CO)8]: Evidence for reversible silane formation in the dynamic behaviour of [Os3(µ-H)(SiR3)(CO)9(µ-dppm)]

Oxidative addition of the silanes R3SiH (R3= Ph3, Et3, EtMe2) to the unsaturated cluster [Os3(µ-H){µ3-Ph2PCH2PPh(C6H4)}(CO)8] leads to the saturated clusters [Os3(µ-H)(SiR3)(CO)9(µ-dppm)](SiR3= SiPh31, SiEt32 and SiEtMe23) and the unsaturated clusters [Os3(µ-H)2(SiR3){µ3-Ph2PCH2PPh(C6H4)}(CO)7](SiR3= SiPh34, SiEt35 and SiEtMe26). Structures are based on spectroscopic evidence and a XRD structure o

Training Regions Research Strategy 2011-2013

Abstract in UndeterminedOur world is changing and cities and regions are increasingly understood not only asplaces, but also as vital hubs in national and global networks, through which people,capital, goods and services flow to ensure the functioning of society, as we know it. Peopleand capital are increasingly concentrated in these hubs, which aside of positive effects onefficiency also is assoc

Local Success, Global Failure: Challenges Facing the Recovery Operations of Critical Infrastructure Breakdowns

Many of society’s critical infrastructures, such as power supply, telecommunications, and transportation, have become increasingly interconnected. While this gives rise to increased efficiency, tighter connections also invites increased vulnerability and the risks of cascading failures. Moreover, at the same time as many of these vital systems have become increasingly dependent on one another, the

Improving Chip Design Enablement for Universities in Europe - A Position Paper

The semiconductor industry is pivotal to Europe's economy, especially within the industrial and automotive sectors. However, Europe faces a significant shortfall in chip design capabilities, marked by a severe skilled labor shortage and lagging contributions in the design value chain segment. This paper explores the role of European universities and academic initiatives in enhancing chip design ed

Trends in type 1 diabetes incidence between 2007 and 2023 and their association with SARS-CoV-2 infection in a population-based matched cohort study among individuals under 30 years old in Sweden

AIMS/HYPOTHESIS: The incidence of type 1 diabetes increased during the pandemic in various countries. SARS-CoV-2 infections may trigger the development of type 1 diabetes, but the evidence is inconclusive. This study aimed to assess trends in type 1 diabetes incidence between 2007 and 2023, and to quantify the association between SARS-CoV-2 infections and the risk for developing type 1 diabetes.ME

Tracking neural dynamics of the relational eye-movement effect during memory retrieval

Eye movements do more than gather visual input – they actively contribute to the formation and retrieval of relational memories by linking information across space and time. During retrieval, gaze patterns often reflect memory reactivation well before an explicit response is made, a phenomenon known as the relational eye-movement effect. While this effect appears closely associated with hippocampa

Looking for Memory : Tracking Neural Representations at Moments of Gaze Reinstatement

Eye movements originally made during memory formation are often spontaneously reproduced during retrieval, even in the absence of visual input, directing gaze back to the locations where goal-relevant episodic information was previously encountered. This behavior, known as gaze reinstatement, is thought to support the reactivation of episodic content associated with those locations (e.g., Johansso

Understanding the preconditions for revitalizing bicycle transport in Beijing, with a reference study from Copenhagen

Rapid urbanization and the growth in the number of motorized vehicles has dramatically marginalized cycling in Chinese cities since the end of the 1990s. The deterioration in air quality and the urban environment is severely challenging urban livability and public health. The cities are seeking effective policies to alleviate these problems, and revitalizing bicycle transport has received increasi

Hot Branching Dynamics in a Light-Harvesting Iron Carbene Complex Revealed by Ultrafast X-ray Emission Spectroscopy

Iron N-heterocyclic carbene (NHC) complexes have received a great deal of attention recently because of their growing potential as light sensitizers or photocatalysts. We present a sub-ps X-ray spectroscopy study of an FeIINHC complex that identifies and quantifies the states involved in the deactivation cascade after light absorption. Excited molecules relax back to the ground state along two pat

HERFD-XANES probes of electronic structures of ironII/IIIcarbene complexes

Iron centeredN-heterocyclic carbene (Fe-NHC) complexes have shown long-lived excited states with charge transfer character useful for light harvesting applications. Understanding the nature of the metal-ligand bond is of fundamental importance to rationally tailor the properties of transition metal complexes. The high-energy-resolution fluorescence detected X-ray absorption near edge structure (HE

Dye-sensitized solar cells based on Fe N-heterocyclic carbene photosensitizers with improved rod-like push-pull functionality

A new generation of octahedral iron(ii)-N-heterocyclic carbene (NHC) complexes, employing different tridentate C^N^C ligands, has been designed and synthesized as earth-abundant photosensitizers for dye sensitized solar cells (DSSCs) and related solar energy conversion applications. This work introduces a linearly aligned push-pull design principle that reaches from the ligand having nitrogen-base

PyPhase - A Python package for X-ray phase imaging

X-ray propagation-based imaging techniques are well established at synchrotron radiation and laboratory sources. However, most reconstruction algorithms for such image modalities, also known as phase-retrieval algorithms, have been developed specifically for one instrument by and for experts, making the development and diffusion of such techniques difficult. Here, PyPhase, a free and open-source p

NMCu-CNN : a scalable near-memory computing co-processor on a RISC-V MCU in 22 nm FDSOI

This paper presents NMCu-CNN, a near-memory computing (NMC) co-processor for the hardware acceleration of convolutional neural networks (CNNs) on a low-power, flexible MCU platform. The scalable architecture and the selected platform enable adaptability to the rapidly evolving Edge AIoT landscape, where energy and performance requirements are constrained. Application-tailored NMC units, equipped w