How I do it - focused Sylvian approach for clipping of middle cerebral artery aneurysms.

Background: The Focused Sylvian Approach (FSA) is a refined, minimally invasive technique for clipping small to medium-sized middle cerebral artery (MCA) aneurysms, prioritizing safety and aesthetics.

Method: The craniotomy remains confined to the superior temporal line, with the incision concealed within the temporal muscle. The Sylvian fissure is carefully dissected to preserve venous structures.

Oncolytic viruses expressing MATEs facilitate target-independent T-cell activation in tumors.

Oncolytic viruses (OV) expressing bispecific T-cell engagers (BiTEs) are promising tools for tumor immunotherapy but the range of target tumors is limited. To facilitate effective T-cell stimulation with broad-range applicability, we established membrane-associated T-cell engagers (MATEs) harboring the protein transduction domain of the HIV-Tat protein to achieve non-selective binding to target cells. In vitro, MATEs effectively activated murine T cells and improved killing of MC38 colon carcinoma cells.

Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning.

Graph representation learning has been leveraged to identify cancer genes from biological networks. However, its applicability is limited by insufficient interpretability and generalizability under integrative network analysis. Here we report the development of an interpretable and generalizable transformer-based model that accurately predicts cancer genes by leveraging graph representation learning and the integration of multi-omics data with the topologies of homogeneous and heterogeneous networks of biological interactions.

[Empowering patients through app-based cochlear implant self-adjustment].

Treatment of patients with severe hearing loss or deafness using cochlear implants (CI) is nowadays clinical routine. In the Hannover Medical School alone, more than 500 patients are treated with CI annually, meaning that the pool of patients with CI increases significantly each year. Worldwide, there are over 1 million patients with a CI system; in Germany the figure is estimated at over 60,000.

Trees shape the soil microbiome of a temperate agrosilvopastoral and syntropic agroforestry system.

Agroforestry systems are multifunctional land-use systems that promote soil life. Despite their large potential spatio-temporal complexity, the majority of studies that investigated soil organisms in temperate cropland agroforestry systems focused on rather non-complex systems. Here, we investigated the topsoil and subsoil microbiome of two complex and innovative alley cropping systems: an agrosilvopastoral system combining poplar trees, crops, and livestock and a syntropic agroforestry system combining 35 tree and shrub species with forage crops.

Immunogenomic determinants of exceptional response to immune checkpoint inhibition in renal cell carcinoma.

Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF).

A reform of value-added taxes on foods can have health, environmental and economic benefits in Europe.

Fiscal policies can provide important incentives for encouraging the dietary changes needed to achieve global policy targets. Across Europe, the foods relevant to health and the environment often incur reduced but non-zero value-added tax (VAT) rates at about half the maximum rates, which allows for providing both incentives and disincentives. Integrating economic, health and environmental modelling, we show that reforming VAT rates on foods, including increasing rates on meat and dairy, and reducing VAT rates on fruits and vegetables can improve diets and result in health, environmental and economic benefits in most European countries.

The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance.

This study explores whether labeling AI as either "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Utilizing a one-way between-subjects design, the research presented online participants (N = 478) with a text presenting guidelines for either trustworthy or reliable AI, before asking them to evaluate 3 vignette scenarios and fill in a modified version of the Technology Acceptance Model which covers different variables, such as perceived ease of use, human-like trust, and overall attitude. While labeling AI as "trustworthy" did not significantly influence people's judgements on specific scenarios, it increased perceived ease of use and human-like trust, namely benevolence, suggesting a facilitating influence on usability and an anthropomorphic effect on user perceptions.

Modelling mixed crop-livestock systems and climate impact assessment in sub-Saharan Africa.

Climate change significantly challenges smallholder mixed crop-livestock (MCL) systems in sub-Saharan Africa (SSA), affecting food and feed production. This study enhances the SIMPLACE modeling framework by incorporating crop-vegetation-livestock models, which contribute to the development of sustainable agricultural practices in response to climate change. Applying such a framework in a domain in West Africa (786,500 km) allowed us to estimate the changes in crop (Maize, Millet, and Sorghum) yield, grass biomass, livestock numbers, and greenhouse gas emission in response to future climate scenarios.

Klebsiella oxytoca facilitates microbiome recovery via antibiotic degradation and restores colonization resistance in a diet-dependent manner.

Competition among bacteria for carbohydrates is pivotal for colonization resistance (CR). However, the impact of Western-style diets on CR remains unclear. Here we show how the competition between Klebsiella oxytoca and Klebsiella pneumoniae is modulated by consuming one of three Western-style diets characterized by high-starch, high-sucrose, or high-fat/high-sucrose content.

Synaptic vesicle characterization of iPSC-derived dopaminergic neurons provides insight into distinct secretory vesicle pools.

The dysfunction of dopaminergic (DA) neurons is central to Parkinson's disease. Distinct synaptic vesicle (SV) populations, differing in neurotransmitter content (dopamine vs. glutamate), may vary due to differences in trafficking and exocytosis.

Strategies to enhance THz harmonic generation combining multilayered, gated, and metamaterial-based architectures.

Graphene has unique properties paving the way for groundbreaking future applications. Its large optical nonlinearity and ease of integration in devices notably makes it an ideal candidate to become a key component for all-optical switching and frequency conversion applications. In the terahertz (THz) region, various approaches have been independently demonstrated to optimize the nonlinear effects in graphene, addressing a critical limitation arising from the atomically thin interaction length.

Coverage bias in small molecule machine learning.

Small molecule machine learning aims to predict chemical, biochemical, or biological properties from molecular structures, with applications such as toxicity prediction, ligand binding, and pharmacokinetics. A recent trend is developing end-to-end models that avoid explicit domain knowledge. These models assume no coverage bias in training and evaluation data, meaning the data are representative of the true distribution.

Pseudomonas in the spotlight: emerging roles in the nodule microbiome.

While rhizobia have long been recognised as the primary colonisers of legume nodules, microbiome studies have revealed the presence of other bacteria in these organs. This opinion delves into the factors shaping the nodule microbiome and explores the potential roles of non-rhizobial endophytes, focusing particularly on Pseudomonas as prominent players. We explore the mechanisms by which Pseudomonas colonise nodules, their interactions with rhizobia, and their remarkable potential to promote plant growth and protect against pathogens.

Graft ischemia post cell transplantation to the brain: Glucose deprivation as the primary driver of rapid cell death.

Replacing cells lost during the progression of neurodegenerative disorders holds potential as a therapeutic strategy. Unfortunately, the majority of cells die post-transplantation, which creates logistical and biological challenges for cell therapy approaches. The cause of cell death is likely to be multifactorial in nature but has previously been correlated with hypoxia in the graft core.

Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients.

Background: Hypotension is associated with organ injury and death in surgical and critically ill patients. In clinical practice, treating hypotension remains challenging because it can be caused by various underlying haemodynamic alterations. We aimed to identify and independently validate endotypes of hypotension in big datasets of surgical and critically ill patients using unsupervised deep learning.

Subthalamic nucleus deep brain stimulation in the beta frequency range boosts cortical beta oscillations and slows down movement.

Recordings from Parkinson's disease (PD) patients typically show strong beta-band oscillations (13-35Hz), which can be modulated by deep brain stimulation (DBS). While high-frequency DBS (>100Hz) ameliorates motor symptoms and reduces beta activity in basal ganglia and motor cortex, the effects of low-frequency DBS (<30Hz) are less clear. Clarifying these effects is relevant for the debate about the role of beta oscillations in motor slowing, which might be causal or epiphenomenal.