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The performance of wireless communications at sea are often limited by fading caused by reflections at the sea surface. The reliability could potentially be improved by employing multiple antennas. We have conducted massive multiple-input multiple-output (MIMO) measurements at sea in order to evaluate the performance. The measurements were conducted at 5.6 GHz with 64 dual-polarized antennas, whic
—Capacitor chargers for pulsed power loads are typically realized as two-stage systems consisting of a front-end rectifier and a dclink filter followed by a dc/dc converter. Whereas such systems generally operate in constant current charging mode, it has recently been demonstrated that constant power charging may be achieved and can effectively eliminate line-side flicker. In this article, these i
Nepal has made major progress in expanding its national electricity grid, creating the potential for a double transition as increased access to electricity benefits the energy-poor while setting the infrastructural ground for a transition to renewable energy sources. However, despite increased access, many households in Nepalcontinue to rely on traditional and transition fuels such as firewood and
Objectives: Patients with acute type A aortic dissection (ATAAD) presenting with cerebral malperfusion have significantly poorer postoperative outcomes, making the decision whether to perform acute surgery difficult. The aim of this study was to investigate types of neurological symptoms and radiological findings and their association with permanent neurological injury and mortality following ATAA
Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an
This paper investigates the detection of permittivity defects in a fabricated, known object, motivated by a desire to detect errors in additively manufactured objects that may affect their electromagnetic performance. We use scattering parameter sensitivities to reconstruct the relative permittivity of a generic 2D object from microwave scattering measurements and a known reference model. To find
With the abundance of data and digital traces of human behavior that are currently available, and the accessible algorithmic analyses to analyze them, management scholars have the opportunity to expand their scope of theoretical discovery and tackle increasingly complex management. However, we need additional elaboration on how algorithmic analysis can augment humans inference making, and how to b
This study examines how small and medium-sized, logistically prominent cities with climate ambitions govern their urban freight systems toward sustainability. It provides a framework for analyzing cities' governance from a socio-technical transition perspective and explores the interrelations between governance activity design and city administrations' capabilities to manage system development. Co
The energetics and dynamics of ion assembly in solution has broad influence in nanomaterials and inorganic synthesis. To investigate the fundamental processes involved, we present a time-resolved x-ray solution scattering (TR-XSS) study of the trinuclear silver and thallium complexes of the diplatinum ion PtPOP [Pt2(H2P2O5) 4 4 − ] in aqueous solution. These complexes, their structural properties,
Background Breast cancer patients undergoing mastectomy are not well represented in studies evaluating the omission of completion axillary lymph node dissection (cALND) due to sentinel lymph node (SLN) metastases. Methods The prospective multicentre SENOMIC cohort trial included patients with breast cancer and SLN micrometastases between October 2013 and December 2022. Completion ALND was omitted
INTRODUCTION: Synaptic dysfunction and loss are pathological hallmarks of neurodegenerative diseases. Neuronal pentraxin 2 (NPTX2), a presynaptic protein involved in synaptic plasticity, has been linked to cognitive decline in Alzheimer's disease (AD) and other neurodegenerative disorders. METHODS: We developed and validated a novel single molecule array (Simoa) for NPTX2 in cerebrospinal fluid, w
Objectives: Current therapeutic strategies for essential thrombocythemia (ET) are mainly considered to prevent thrombo-hemorrhagic events, without increasing the rate of fibrotic progression or leukemic evolution. To treat the patients appropriately, the precise diagnosis of ET is essential. Although approximately 30% of ET cases are diagnosed as CALR mutation-positive; commercially available poly
The surface chemistry of mesoporous nickel oxide (NiOx) plays a pivotal role in its functionality across various technological applications. Herein, we present a detailed study of NiOx surface states using multiple spectroscopic techniques, including ambient pressure X-ray photoelectron spectroscopy (XPS), ultraviolet-visible (UV-vis) spectroscopy, and Fourier-transform infrared (FTIR) spectroscop
The last mute film in Carl Th. Dreyer’s oeuvre, The Passion of Joan of Arc (1928), is often referred to as a film “made of close-ups” and purely cinematic. Dreyer used to stress himself that close-up was the specific cinematic device that asserted film’s position as autonomous art. He especially insisted on film’s independence from theatre. Thus, it might sound quite surprising that in an intervi
Industrial sector, by boosting energy efficiency and reducing waste through the use of digital twin (DT) technology in the integration of industrial IoT (IIoT). DT generates realistic simulations for predictive analytics and decision-making with the help of real-time simulations of physical objects. In this chapter, the authors focus on the DT application for the optimum utilization of energy and
Adaptive haptics, an amalgamation of different haptic systems and machine learning algorithms, has the potential for intelligent feedback in healthcare. Such systems are capable of learning to suit individual user needs in real-time, thereby improving patient care, medical education, and treatment. Targeted techniques of machine learning approaches are reinforcement learning, neural networks, supp
