Effects of LinTT1-peptide conjugation on the properties of poly(ethylene glycol)-block-(ε-caprolactone) nanoparticles prepared by the nanoprecipitation method.

Functionalization of polymer nanoparticles (NPs) with targeting peptides is of interest for drug delivery applications to enhance tumor accumulation and penetration. Herein, we evaluated the feasibility of two different methods for the attachment of a tumor-penetrating peptide LinTT1 (AKRGARSTA) to poly(ethylene glycol)-block-poly(ε-caprolactone) (PCL-PEG) NPs: (1) "post-conjugation" onto pre-formed nanoparticles, and (2) "pre-conjugation", the synthesis and purification of peptide-polymer conjugates and subsequent nanoprecipitation of the conjugates diluted with non-functionalized polymers. Conjugation of the labelled peptide via maleimide-thiol chemistry was verified by gel permeation chromatography (GPC) and fluorescence measurements.

Evaluating multiannual sedimentary nutrient retention in agricultural two-stage channels.

The two-stage channel (TSC) design with a vegetated man-made floodplain has been recommended as an alternative to conventional re-dredging for managing suspended sediment (SS) and nutrient loads in agricultural streams. However, there are currently uncertainties surrounding the efficiency of TSCs, since mass balances covering the whole annual hydrograph and including different periods of the channel life cycle are lacking. This paper aims to improve understanding of the medium-term morphological development and sedimentary nutrient retention when a dredged, trapezoidal-shaped channel is converted into a TSC, using a mass balance estimate of nutrient and carbon retention from immediately after excavation until the establishment of approximate biogeochemical equilibrium retention.

Mapping the Topological Proximity-Induced Gap in Multiterminal Josephson Junctions.

Multiterminal Josephson junctions (MTJJs), devices in which a normal metal is in contact with three or more superconducting leads, have been proposed as artificial analogs of topological crystals. The topological nature of MTJJs manifests as a modulation of the quasiparticle density of states (DOS) in the normal metal that may be probed by tunneling measurements. We show that one can reveal this modulation by measuring the resistance of diffusive MTJJs with normal contacts, which shows rich structure as a function of the phase differences {ϕ_{i}}.

The Future Hospital in Global Health Systems: The Future Hospital as an Entity.

Health care is changing rapidly. Hospitals are, and will remain, an essential setting to deliver it. We discuss how to maximise the benefits of hospitals in the future in different geographic and health system settings, highlighting a series of cross-cutting issues.

Beyond visible: giant bulk photovoltaic effect for broadband neuromodulation.

The giant bulk photovoltaic effect in tellurene nanomaterials has been harnessed to enable broadband infrared neuromodulation, expanding the potential for safe, non-invasive neural stimulation and highlighting the importance of material innovation in advancing infrared photonic applications.

Active learning of molecular data for task-specific objectives.

Active learning (AL) has shown promise to be a particularly data-efficient machine learning approach. Yet, its performance depends on the application, and it is not clear when AL practitioners can expect computational savings. Here, we carry out a systematic AL performance assessment for three diverse molecular datasets and two common scientific tasks: compiling compact, informative datasets and targeted molecular searches.

Near-infrared germanium PIN-photodiodes with >1A/W responsivity.

Even though efficient near-infrared (NIR) detection is critical for numerous applications, state-of-the-art NIR detectors either suffer from limited capability of detecting incoming photons, i.e., have poor spectral responsivity, or are made of expensive group III-V non-CMOS compatible materials.

Strength and Poisson's ratio of fused filament fabrication parts made from carbon filler enhanced PEEK compounds at elevated temperatures.

Engineering plastics are finding widespread applications across a broad temperature spectrum, with additive manufacturing (AM) having now become commonplace for producing aerospace-grade components from polymers. However, there is limited data available on the behavior of plastic AM parts exposed to elevated temperatures. This study focuses on investigating the tensile strength, tensile modulus and Poisson's ratio of parts manufactured using fused filament fabrication (FFF) and polyetheretherketone (PEEK) plastics doped with two additives: short carbon fibers (SCFs) and multi-wall carbon nanotubes (MWCNTs).

Ultrafast Floquet engineering of Fermi-polaron resonances in charge-tunable monolayer WSe devices.

Fermi polarons are emerging quasiparticles when a bosonic impurity immersed in a fermionic bath. Depending on the boson-fermion interaction strength, the Fermi-polaron resonances exhibit either attractive or repulsive interactions, which impose further experimental challenges on understanding the subtle light-driven dynamics. Here, we report the light-driven dynamics of attractive and repulsive Fermi polarons in monolayer WSe devices.

Real-Time Tractography-Assisted Neuronavigation for Transcranial Magnetic Stimulation.

State-of-the-art navigated transcranial magnetic stimulation (nTMS) systems can display the TMS coil position relative to the structural magnetic resonance image (MRI) of the subject's brain and calculate the induced electric field. However, the local effect of TMS propagates via the white-matter network to different areas of the brain, and currently there is no commercial or research neuronavigation system that can highlight in real time the brain's structural connections during TMS. This lack of real-time visualization may overlook critical inter-individual differences in brain connectivity and does not provide the opportunity to target brain networks.

Aalto Gear Fault datasets for deep-learning based diagnosis.

Accurate system health state prediction through deep learning requires extensive and varied data. However, real-world data scarcity poses a challenge for developing robust fault diagnosis models. This study introduces two extensive datasets, Aalto Shim Dataset and Aalto Gear Fault Dataset, collected under controlled laboratory conditions, aimed at advancing deep learning-based fault diagnosis.

Acrylamide/Alyssum campestre seed gum hydrogels enhanced with titanium carbide: Rheological insights for cardiac tissue engineering.

This study investigates the use of acrylamide and Alyssum campestre seed gum (ACSG) to create hydrogel composites with enhanced electrical and mechanical properties by incorporating titanium carbide (TiC). The composites were analyzed through techniques such as FTIR, SEM, TEM, TGA, swelling, rheology, tensile, electrical conductivity, antibacterial, and MTT assays. XRD analysis showed that 0.

Naturalistic reading of multi-page texts elicits spatially extended modulation of oscillatory activity in the right hemisphere.

The study of the cortical basis of reading has greatly benefited from the use of naturalistic paradigms that permit eye movements. However, due to the short stimulus lengths used in most naturalistic reading studies, it remains unclear how reading of texts comprising more than isolated sentences modulates cortical processing. To address this question, we used magnetoencephalography to study the spatiospectral distribution of oscillatory activity during naturalistic reading of multi-page texts.

Emotional Intelligence May Be Associated with Some Forms of Creative Potential.

The current study examined the relationship between creative potential, estimated with tests of divergent thinking (DT), and emotional intelligence (EI). Previous research has hinted at a relationship, but the EI-DT relationship may differ as a function of the tasks and the specific components of EI. With this in mind, the present investigation compared two DT tests (Social Games vs.

Propagation of Orientation Across Lengthscales in Sheared Self-Assembling Hierarchical Suspensions via Rheo-PLI-SAXS.

Simultaneous rheological, polarized light imaging, and small-angle X-ray scattering experiments (Rheo-PLI-SAXS) are developed, thereby providing unprecedented level of insight into the multiscale orientation of hierarchical systems in simple shear. Notably, it is observed that mesoscale alignment in the flow direction does not develop simultaneously across nano-micro lengthscales in sheared suspensions of rod-like chiral-nematic (meso) phase forming cellulose nanocrystals. Rather, with increasing shear rate, orientation is observed first at mesoscale and then extends to the nanoscale, with influencing factors being the aggregation state of the hierarchy and concentration.

Topologically Protected Vortex Knots in an Experimentally Realizable System.

Ordered media often support vortex structures with intriguing topological properties. Here, we investigate non-Abelian vortices in tetrahedral order using the mathematical formalism of colored links. Due to the generality of our methods, the results apply to all physical systems governed by tetrahedral order, such as the cyclic phase of spin-2 Bose-Einstein condensates and the tetrahedratic phase of bent-core nematic liquid crystals.

Relational anonymity in reducing the harms of illicit drug use: accounts of users of dark web- and street-based services in Finland.

Background: Protecting individual anonymity is a common practice in harm reduction (HR), as it can mitigate the fears that may prevent people from accessing services. Protecting anonymity usually means applying for services with a pseudonym. However, anonymity protection practices have diversified in current HR environments, for example, on the streets or in the Tor network, which relies on technology to guarantee exceptionally strong anonymity.

Temporal Trends of Ischemic Stroke Risk in Patients With Incident Atrial Fibrillation Before Anticoagulation.

Background: Atrial fibrillation (AF) is a major risk factor for ischemic stroke (IS), but whether the magnitude of this risk has changed over time is unknown.

Objectives: This study sought to investigate temporal trends in IS rates in patients with incident AF before oral anticoagulant agent (OAC) therapy.

Methods: The nationwide FinACAF (Finnish Anticoagulation in Atrial Fibrillation) study covers patients with AF at all levels of care in Finland from 2007 to 2018.

Comparative assessment of airborne infection risk tools in enclosed spaces: Implications for disease control.

The COVID-19 pandemic, caused by SARS-CoV-2, highlighted the importance of understanding transmission modes and implementing effective mitigation strategies. Recognizing airborne transmission as a primary route has reshaped public health measures, emphasizing the need to optimize indoor environments to reduce risks. Numerous tools have emerged to assess airborne infection risks in enclosed spaces, providing valuable resources for public health authorities, researchers, and the general public.

Mechanistic Insights and Technical Challenges in Sulfur-Based Batteries: A Comprehensive / Monitoring Toolbox.

Batteries based on sulfur cathodes offer a promising energy storage solution due to their potential for high performance, cost-effectiveness, and sustainability. However, commercial viability is challenged by issues such as polysulfide migration, volume changes, uneven phase nucleation, limited ion transport, and sluggish sulfur redox kinetics. Addressing these challenges requires insights into the structural, morphological, and chemical evolution of phases, the associated volume changes and internal stresses, and ion and polysulfide diffusion within the battery.