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The morphogenetic protein DivIVA exhibits diverse functions across bacterial phyla. In Bacillota, DivIVA is primarily involved in cell division, whereas in Actinomycetota, it plays a central role in coordinating polar growth. Due to its essentiality in Actinomycetota, gaining insight into its structural functions is challenging. We studied truncated DivIVA proteins using a unique divIVA deletion m
Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding
Cellular senescence, a phenomenon characterized by the accumulation of dysfunctional, metabolically active cells, is increasingly recognized to be a key player in aging-related metabolic disorders. It is accelerated by hyperglycemia through various molecular pathways, positioning it as a critical mechanism in the pathophysiology of type 2 diabetes mellitus (T2D) and a potential therapeutic target.
Single-master multi-slave (SMMS) teleoperation systems can perform multiple tasks remotely in a shorter time, cover large-scale areas, and adapt more easily to single-point failures, thereby effectively encompassing a broader range ofapplications. As the number of slave manipulators sharing a communicationnetwork increases, the limitation of communication bandwidth becomes critical. To alleviate b
The unification of quantum mechanics and general relativity has long been elusive. Only recently have empirical predictions of various possible theories of quantum gravity been put to test, where a clear signal of quantum properties of gravity is still missing. The dawn of multi-messenger high-energy astrophysics has been tremendously beneficial, as it allows us to study particles with much higher
Climate change calls for adaptive strategies to manage land system across governance levels, as differing multi-level policies distinctly shape land system and long-term ecosystem resilience. This study proposes an iterative approach for optimizing land-use pathways that balance competing policy objectives across national, provincial, and local levels without compromising ecosystem integrity in a
Background: Endocrine science remains underrepresented in European Union research programmes despite the fundamental role of hormone health in human wellbeing. Analysis of the CORDIS database reveals a persistent gap between the societal impact of endocrine disorders and their research prioritisation. At national funding level, endocrine societies report limited or little attention of national res
Mantle cell lymphoma (MCL) is a relatively rare B-cell lymphoma subtype, with a higher incidence among males and a median age of 70 years at diagnosis. MCL is characterized by clinically diverse behavior, from indolent disease to extremely aggressive, related to the presence of biological risk factors such as proliferation rate and TP53 mutations. Most often, patients present with disseminated dis
Ever-increasing global water shortages necessitate more advanced and cost-effective water purification methods. Herein, a novel slow filtration system using natural raw zeolite is proposed as an alternative to traditional quartz sand as a filter medium. The system demonstrates excellent performance in reducing turbidity and removing methylene blue (MB). The natural zeolite-based filtration system
A central challenge in linguistics pertains to understanding how the polished, static form of a written text emerges from the messy, moment-by-moment decisions of the writer. While the structures of finished texts have been extensively theorized, and the real-time cognitive processes of writing have been widely studied, the relationship between these real-time processes and the functional linguist
Background and Objectives: Previous studies have suggested associations between pain perception and psychological factors such as mood, distress, fatigue, and quality of life. However, these factors and their relationship to pain sensitivity have typically been investigated in isolation and with insufficient sample sizes. To address these limitations, we examine the interplay between distinct psyc
Considering the distinct etiological pathways and molecular characteristics of different lung cancer subtypes, it is crucial to develop subtype-specific prevention strategies and therapeutic targets. This study aimed to identify protein biomarkers and potential therapeutic targets for specific subtypes of lung cancer by integrating population-based observational studies and Mendelian randomisation
The special degeneracy which occurs in the harmonic-oscillator potential when two of the frequencies have ratios of small integer numbers is exploited. Favored shell energies occur for particle numbers which vary with the third frequency. Applications to realistic nuclear potentials show that this degeneracy leads to special shell effects for axial shapes (1:1 ratio) but also for the 2:1 ratio exe
We study the Coulomb chain where particles are restricted to one dimension and experience three-dimensional Coulomb interactions with their nearest and next-to-nearest neighbours. The distances between consecutive particles are treated as random variables. It is shown that the correlation between clusters of consecutive variables decay exponentially with the number of variables separating them. Th
Integrated Continuous Biomanufacturing reduces manufacturing costs while maintaining product quality. A key contributor to high biopharmaceutical costs, specifically monoclonal antibodies (mAbs), is chromatography. Protein A ligands are usually preferred but still expensive in the manufacturing context, and batch chromatography under-utilizes the columns' capacity, compromising productivity to mai
Lead-free perovskites (LFPs) are an emergent class of materials with great potential as next-generation candidates for energy and optoelectronic applications, offering a sustainable and non-toxic alternative to their lead-based counterparts. Computational studies play a central role in accelerating the discovery, design, and optimization of these materials by enabling predictive insights into elec
Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function’s optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective
