Myoelectric pattern recognition with virtual reality and serious gaming improves upper limb function in chronic stroke: a single case experimental design study.

Background: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.

Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.

Development of a yeast-based sensor platform for evaluation of ligands recognized by the human Free Fatty Acid 2 Receptor.

Yeast-based sensors have shown great applicability for deorphanization of G protein-coupled receptors (GPCRs) and screening of ligands targeting these. A GPCR of great interest is free fatty acid 2 receptor (FFA2R), for which short-chain fatty acids such as propionate and acetate are agonists. FFA2R regulates a wide array of downstream receptor signaling pathways in both adipose tissue and immune cells and has been recognized as a promising therapeutic target, having been implicated in several metabolic and inflammatory diseases.

Programming of synthetic regulatory DNA for cell-type targeting in humans.

In a recent study in Nature, Gosai et al. introduce a framework to engineer and validate synthetic DNA regulatory elements showing cell-type-specific activity in human cell lines, closing the distance to the machine-driven design of functional regulatory sequences with therapeutic applications in humans.

Direct utilisation of impulse response data in reduction index assessment without intermediate reverberation time estimation (L).

An approach is proposed for reduction index measurement where impulse response data are utilised directly without relying on intermediate reverberation time estimation. The theoretical framework is presented and the main result is substantiated by shown equivalence to the conventional method for ideal exponential decay curves of acoustic energy. Additionally, the study introduces a formula for estimating effective reverberation time in cases of non-exponential decay curves.

Tactile edges and motion via patterned microstimulation of the human somatosensory cortex.

Intracortical microstimulation (ICMS) of somatosensory cortex evokes tactile sensations whose properties can be systematically manipulated by varying stimulation parameters. However, ICMS currently provides an imperfect sense of touch, limiting manual dexterity and tactile experience. Leveraging our understanding of how tactile features are encoded in the primary somatosensory cortex (S1), we sought to inform individuals with paralysis about local geometry and apparent motion of objects on their skin.

Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods.

Developing high-performance alloys is essential for applications in advanced electromagnetic energy conversion devices. In this study, we assess Fe-Co-Ni alloy compositions identified in our previous work through a machine learning (ML) framework, which used both multi-property ML models and multi-objective Bayesian optimization to design compositions with predicted high values of saturation magnetization, Curie temperature, and Vickers hardness. Experimental validation was conducted on two promising compositions synthesized using three different methods: arc melting, ball milling followed by spark plasma sintering (SPS), and chemical synthesis followed by SPS.

High-Temperature Corrosion Behavior of Superheater Materials at 600 °C: Insights from Laboratory and Field Exposures.

Combustion of biomass and waste results in release of corrosive species, such as alkali chlorides and water vapor, which accelerate the corrosion of superheaters in the boiler. To improve our understanding of alkali-induced corrosion, long-term corrosion investigations are needed. This study utilizes a systematic approach based on long-term corrosion studies (up to 8000 h) in a well-controlled laboratory environment to understand the corrosion behavior and protectiveness of oxide scales formed on a FeCr alloy (marginal chromia former) and three overlay weld coating systems (lean FeCrAl, FeCrAl, and Ni-based alloy) in a KCl-rich environment at 600 °C.

Enhanced detection of Brain-Derived Neurotrophic Factor (BDNF) using a reduced graphene oxide field-effect transistor aptasensor.

Neurodegenerative diseases, characterized by the progressive deterioration of neuronal function and structure, pose significant global public health and economic challenges. Brain-Derived Neurotrophic Factor (BDNF), a key regulator of neuroplasticity and neuronal survival, has emerged as a critical biomarker for various neurodegenerative and psychiatric disorders, including Alzheimer's disease. Traditional diagnostic methods, such as Enzyme-Linked Immunosorbent Assay (ELISA) and electrochemiluminescence (ECL) assays, face limitations in terms of sensitivity, stability, reproducibility, and cost-effectiveness.

Apoptotic cell death of stomach cancer lines (AGS) induced by Co-NTB complex through cellular organelles and DNA damage.

Given that stomach cancer is the fourth leading cause of cancer-related death, there is a need to develop new drugs. Among various methods, metal-based coordination compounds are considered as an efficient strategy against this type of cancer. Similarly, the benzimidazole moiety plays a crucial role in biology; thus, various benzimidazole-based compounds have been found to be active as potential anticancer drugs and are currently used in clinical trials.

3D Bioprinted Head and Neck Squamous Cell Carcinoma (HNSCC) Model Using Tunicate Derived Nanocellulose (NC) Bioink.

Head and neck squamous cell carcinoma (HNSCC) are invasive solid tumors accounting for high mortality. To improve the clinical outcome, a better understanding of the tumor and its microenvironment (TME) is crucial. Three -dimensional (3D) bioprinting is emerging as a powerful tool for recreating the TME in vitro.

Influence of aluminium distribution on the diffusion mechanisms and pairing of [Cu(NH)] complexes in Cu-CHA.

The performance of Cu-exchanged chabazite (Cu-CHA) for the ammonia-assisted selective catalytic reduction of NO (NH-SCR) depends critically on the presence of paired complexes. Here, a machine-learning force field augmented with long-range Coulomb interactions is developed to investigate the effect of Al-distribution and Cu-loading on the mobility and pairing of complexes. Performing unbiased and constrained molecular dynamics simulations, we obtain unique information inaccessible to first-principle calculations and experiments.

Binuclear ruthenium complex linker length tunes DNA threading intercalation kinetics.

Binuclear ruthenium complexes have been investigated for potential DNA-targeted therapeutic and diagnostic applications. Studies of DNA threading intercalation, in which DNA base pairs must be broken for intercalation, have revealed means of optimizing a model binuclear ruthenium complex to obtain reversible DNA-ligand assemblies with the desired properties of high affinity and slow kinetics. Here, we used single-molecule force spectroscopy to study a binuclear ruthenium complex with a longer semi-rigid linker relative to the model complex.

Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements.

Neuroprosthetics research has entered a stage in which animal models and proof-of-concept studies are translated into clinical applications, often combining implants with artificial intelligence techniques. This new phase raises the question of how clinical trials should be designed to scientifically and ethically address the unique features of neural prostheses. Neural prostheses are complex cyberbiological devices able to acquire and process data; hence, their assessment is not reducible to only third-party safety and efficacy evaluations as in pharmacological research.

A cellulosic fibre foam as a bicycle helmet impact liner for brain injury mitigation in oblique impacts.

Bulky cellulosic network structures (BRC) with densities between 60 and 130 g/l were investigated as a sustainable alternative to fossil-based foams for impact liners in bicycle helmets. The mechanical properties of BRC foams were characterized across a wide range of strain rates and incorporated into a validated finite element model of a hardshell helmet. Virtual impact tests simulating both consumer information and certification scenarios were conducted to compare BRC-lined helmets against conventional expanded polystyrene (EPS) designs.

Biological Amyloids Chemically Damage DNA.

Amyloid fibrils are protein polymers noncovalently assembled through β-strands arranged in a cross-β structure. Biological amyloids were considered chemically inert until we and others recently demonstrated their ability to catalyze chemical reactions in vitro. To further explore the functional repertoire of amyloids, we here probe if fibrils of α-synuclein (αS) display chemical reactivity toward DNA.

Design and in vitro anticancer assessment of a click chemistry-derived dinuclear copper artificial metallo-nuclease.

Copper compounds with artificial metallo-nuclease (AMN) activity are mechanistically unique compared to established metallodrugs. Here, we describe the development of a new dinuclear copper AMN, Cu2-BPL-C6 (BPL-C6 = bis-1,10-phenanthroline-carbon-6), prepared using click chemistry that demonstrates site-specific DNA recognition with low micromolar cleavage activity. The BPL-C6 ligand was designed to force two redox-active copper centres-central for enhancing AMN activity-to bind DNA, via two phenanthroline ligands separated by an aliphatic linker.

Transverse optical gradient force in untethered rotating metaspinners.

Nanostructured dielectric metasurfaces offer unprecedented opportunities to control light-matter momentum exchange, and thereby the forces and torques that light can exert on matter. Here we introduce optical metasurfaces as components of ultracompact untethered microscopic metaspinners capable of efficient light-induced rotation in a liquid environment. Illuminated by weakly focused light, a metaspinner generates torque via photon recoil through the metasurfaces' ability to bend light towards high angles despite their sub-wavelength thickness, thereby creating orbital angular momentum.

Optimizing a link-based travel incentive scheme integrating personal carbon trading for low-carbon commuting.

The pressing need to reduce greenhouse gas emissions and optimize traffic demand underlines the importance of effective travel demand management. Previous studies have explored budget-based and aggregated incentive programs, which diminish a heavy financial burden on governments and tend to be limited in contributing to effective behavior change in practice due to budget issues. This study proposes a personal carbon trading travel incentive (PCTTI) mechanism, to encourage private car commuters using low-carbon travel routes.

Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning.

Rapidly detecting hydrogen leaks is critical for the safe large-scale implementation of hydrogen technologies. However, to date, no technically viable sensor solution exists that meets the corresponding response time targets under technically relevant conditions. Here, we demonstrate how a tailored long short-term transformer ensemble model for accelerated sensing (LEMAS) speeds up the response of an optical plasmonic hydrogen sensor by up to a factor of 40 and eliminates its intrinsic pressure dependence in an environment emulating the inert gas encapsulation of large-scale hydrogen installations by accurately predicting its response value to a hydrogen concentration change before it is physically reached by the sensor hardware.

Visible Light Spectroscopy of Liquid Solutes from Femto- to Attoliter Volumes Inside a Single Nanofluidic Channel.

UV-vis spectroscopy is a workhorse in analytical chemistry that finds application in life science, organic synthesis, and energy technologies like photocatalysis. In its traditional implementation with cuvettes, it requires sample volumes in the milliliter range. Here, we show how nanofluidic scattering spectroscopy (NSS), which measures visible light scattered from a single nanochannel in a spectrally resolved way, can reduce this sample volume to the attoliter range for solute concentrations in the mM regime, which corresponds to as few as 10 probed molecules.

Design and characterization of novel graphene-enhanced vapor chambers for lightweight and high-performance electronics cooling.

The trend towards miniaturization of electronics and increasing transistor density in semiconductors requires more efficient cooling solutions. Vapor chambers are well established passive cooling devices that are used in a wide variety of electronics. Commercial vapor chambers are often made of high-density metals such as copper which can be a downside in lightweight applications such as laptops, smartphones, and tablets.

Chemical, biological and nerve gas attacks: need for education among healthcare personnel and medical students; a Swedish regional cross-sectional web-survey.

Background: Chemical, biological and nerve gas events have a significant impact on public health, necessitating proper education and training. This study investigated the educational needs as perceived by two groups, frontline healthcare workers and medical students, in relation to chemical, biological, and nerve gas events.

Methods: Three distinct web-based cross-sectional surveys were conducted, one each for chemical, biological, and nerve gas events, with each survey following the same structural format including sections on (a) theoretical knowledge assessment, using multiple-choice questions regarding identification, protection, and treatment, (b) perception of threat, using questions based on a 5-point Likert scale to gauge views on threat/preparedness and (c) perception of existing competency, with questions regarding prior education and the need for additional education and training.

Supramolecular modification of sustainable high-molar-mass polymers for improved processing and performance.

The plastic waste crisis is among humanity's most urgent challenges. However, widespread adoption of sustainable plastics is hindered by their often inadequate processing characteristics and performance. Here, we introduce a bio-inspired strategy for the modification of a representative high molar mass, biodegradable aliphatic polyester that helps overcome these limitations and remains effective at molar masses far greater than the entanglement molar mass.

Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting.

Unlabelled: Bioprospecting can uncover new yeast strains and species with interesting ecological characteristics and valuable biotechnological traits, such as the capacity to convert different carbon sources from industrial side and waste streams into bioproducts. In this study, we conducted untargeted yeast bioprospecting in tropical West Africa, collecting 1,996 isolates and determining their growth in 70 different environments. While the collection contains numerous isolates with the potential to assimilate several cost-effective and sustainable carbon and nitrogen sources, we focused on characterizing the 203 strains capable of growing on lactose, the main carbon source in the abundant side stream cheese whey from dairy industries.

Adaptation of Escherichia coli to ciprofloxacin and enrofloxacin: Differential proteomics of the SOS response and RecA-independent mechanisms.

Objective: Antibiotic resistance is a growing global healthcare challenge, treatment of bacterial infections with fluoroquinolones being no exception. These antibiotics can induce genetic instability through several mechanisms, one of the most significant being the activation of the SOS response. During exposure to sublethal concentration, this stress response increases mutation rates, accelerating resistance evolution.