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Multiplex genome editing eliminates the Warburg Effect without impacting growth rate in mammalian cells

The Warburg effect is ubiquitous in proliferative mammalian cells, including cancer cells, but poses challenges for biopharmaceutical production, as lactate accumulation inhibits cell growth and protein production. Previous efforts to eliminate lactate production via knockout have failed in mammalian bioprocessing since lactate dehydrogenase has proven essential. However, here we eliminated the Wa

Pin-on-disc tribological characterization of single ingredients used in a brake pad friction material

Researchers have long been studying the effects of the modification of friction material compositions on their tribological properties. Predictive models have also been developed, but they are of limited use in the design of new compositions. Therefore, this research aims to investigate the tribological behaviour of single ingredients in friction materials to develop a tribological dataset. This d

The Patient-Doctor Dynamics : Examining Current Trends in the Global Healthcare Sector

This book provides an insight into research conducted by participants attending The Patient: Examining Realities: 5th Global Conference, held in Oxford, England, 14-16 September, 2016. These attendees and subsequent volume contributors include medical professionals and healthcare providers employed by reputable academic institutions, and who take a both scientific and practical interest in the hea

Efficiently Bounding the Probabilities of Vehicle Collision at Intelligent Intersections

Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency

System Aliasing in Dynamic Network Reconstruction:Issues on Low Sampling Frequencies

Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data can be sampled at low frequencies, leading to significant challenges in network inference. We introduce the concept of 'system aliasing' and characterize the minimal sampling frequency that allows reconstruction of CT systems fro

Dynamic network reconstruction from heterogeneous datasets

Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations of parameters or external disturbances. A challenging problem is to efficiently incorporate all collected data simultaneously to infer the underlying dynamic network. This paper addresses the reconstruction of dynamic networks from heterogeneous datasets under

A Postmodern Exploration of the Screened Dialogue between Past and Present and the Acceptance of Domestic Gender Performativity in Ventura Pons’ Barcelona (un mapa) (2007)

This paper explores the postmodern elements in Pons’ film Barcelona (un mapa) (2007). Of interest is the screened portrayal of the tolerant relationship between a Catalan husband and wife and the fluid gender notions adhered to by the former; a man who repeatedly engages in gender performativity within the safety of his own home and who by refraining from doing so in a public external space could

Historicizing the Historical Turn in Human Rights Studies : Origins, Inequality, and Neoliberalism in the Modern Epoch

The historical turn in human rights studies is characterized by a deepcleavage between scholars who locate the origins of human rights inthe Atlantic Revolutions of the late 18th century, and scholars whoinstead focus on the post-WWII period in general, and on the 1970sin particular as a breakthrough decade for international humanrights. Against the background of what has been described as thethreThe historical turn in human rights studies is characterized by a deep cleavage between scholars who locate the origins of human rights in the Atlantic Revolutions of the late 18th century, and scholars who instead focus on the post-WWII period in general, and on the 1970s in particular as a breakthrough decade for international human rights. Against the background of what has been described as th

Circular economy competencies in Swedish architecture and civil engineering education

The transition from a linear to a circular AEC sector requires redefining processes and roles, accompanied by the acquisition of new competencies and skills. Despite existing literature delineating various competencies pertinent to this transition, the lack of knowledge among the actors remains a significant barrier to enabling it. This study involves a comparative analysis of the competences need

Circular economy requirements in public procurement for construction projects in Sweden

As a key part of its alignment with EU directives on public procurement, Sweden is actively integrating sustainability and circular economy practices into its construction sector. Circular principles in public procurement empower public authorities to stimulate sustainable practices across the sector, aligning with broader environmental and economic objectives. However, examples of implementing ci

Sound over-approximation of probabilities

Safety analysis of high confidence systems requires guaranteed bounds on the probabilities of events of interest. Establishing the correctness of algorithms that aim to compute such bounds is challenging. We address this problem in three steps. First, we use monadic transition systems (MTS) in the category of sets as a framework for modeling discrete time systems. MTS can capture different types o

High-dimensional Kuramoto models on Stiefel manifolds synchronize complex networks almost globally

The Kuramoto model of coupled phase oscillators is often used to describe synchronization phenomena in nature. Some applications, e.g., quantum synchronization and rigid-body attitude synchronization, involve high-dimensional Kuramoto models where each oscillator lives on the n-sphere or SO(n). These manifolds are special cases of the compact, real Stiefel manifold St(p,n). Using tools from optimi

A lifting method for analyzing distributed synchronization on the unit sphere

This paper introduces a new lifting method for analyzing convergence of continuous-time distributed synchronization/consensus systems on the unit sphere. Points on the d-dimensional unit sphere are lifted to the (d+1)-dimensional Euclidean space. The consensus protocol on the unit sphere is the classical one, where agents move toward weighted averages of their neighbors in their respective tangent

Dynamic controllers for column synchronization of rotation matrices : A QR-factorization approach

In the multi-agent systems setting, this paper addresses continuous-time distributed synchronization of columns of rotation matrices. More precisely, k specific columns shall be synchronized and only the corresponding k columns of the relative rotations between the agents are assumed to be available for the control design. When one specific column is considered, the problem is equivalent to synchr

Finite-Time Attitude Synchronization with Distributed Discontinuous Protocols

The finite-time attitude synchronization problem is considered in this paper, where the rotation of each rigid body is expressed using the axis-angle representation. Two discontinuous and distributed controllers using the vectorized signum function are proposed, which guarantee almost global and local convergence, respectively. Filippov solutions and nonsmooth analysis techniques are adopted to ha

Almost Global Consensus on the n-Sphere

This paper establishes novel results regarding the global convergence properties of a large class of consensus protocols for multiagent systems that evolve in continuous time on the n-dimensional unit sphere or n-sphere. For any connected, undirected graph and all \in \mathbb{N} \backslash \lbrace 1\rbrace$, each protocol in said class is shown to yield almost global consensus. The feedback laws a

Distributed synchronization of Euclidean transformations with guaranteed convergence

This paper addresses synchronization of Euclidean transformations over graphs. Synchronization in this context, unlike rendezvous or consensus, means that composite transformations over loops in the graph are equal to the identity. Given a set of non-synchronized transformations, the problem at hand is to find a set of synchronized transformations approximating well the non-synchronized transforma

Distributed methods for synchronization of orthogonal matrices over graphs

This paper addresses the problem of synchronizing orthogonal matrices over directed graphs. For synchronized transformations (or matrices), composite transformations over loops equal the identity. We formulate the synchronization problem as a least-squares optimization problem with nonlinear constraints. The synchronization problem appears as one of the key components in applications ranging from