Search results

The web of relationships between wellbeing and the environments in which people live has long been recognized. However, relatively little research has been conducted about end-of-life surroundings from the perspective of the dying person. In this study, we investigate which aspects of their surroundings are particularly meaningful for the people inhabiting them in the last phases of life, based on

A critical cell cycle regulatory protein, cyclin A1, has been implicated in the development of acute myeloid leukemia (AML). Here, we have examined the expression and clinical significance of cyclin A1 in childhood acute lymphoblastic leukemia (ALL). Cyclin A1 was highly expressed in lymphoblastic leukemic cell lines and in 22 of 30 ALL patients (73%). Cyclin A1 expression correlated with patient

The scope of this presentation is a new methodology to correct conventional NIR data for scattering effects. The technique aims at measuring the absorption coefficient of the samples rather than the total attenuation, measured by conventional NIR spectroscopy. The main advantage of this is that the absorption coefficient is independent of the path length of the light inside the sample, and therefo

Atmospheric dispersion represents a relatively overlooked problem in connection with the ultimate quality of ELT images corrected by adaptive optics (AO). The aim of this paper is to evaluate the contribution from atmospheric dispersion to the background level of the point-spread function (PSF). Since proper suppression of this level is important for the prospects for direct exo-planet observation

Background: We aimed to study the long-term effect of smoking on coronary atherosclerosis progression at the segmental level. Methods: Angiographic data (1989-2017) on current, former, and nonsmokers were collected from the Swedish Coronary Angiography and Angioplasty Registry. The Western Denmark Heart Registry was used to validate the results. Patients with clinically indicated angiography with

Retrieving episodic memories often involves reconstructing both their semantic content and the emotional context in which they occurred. However, the neural mechanisms that differentiate these forms of reinstatement remain poorly understood. This event-related potential (ERP) study examines how semantic category and emotional valence are reinstated during memory retrieval.Seventy participants enco

Event cameras and LiDARs provide complementary yet distinct data: respectively, asynchronous detections of changes in lighting versus sparse but accurate depth information at a fixed rate. To this day, few works have explored the combination of these two modalities. In this article, we propose a novel neural-network-based method for fusing event and LiDAR data in order to estimate dense depth maps

A reliable serological marker of acute cellular rejection (ACR) after small bowel transplantation (SBTx) is still missing. Plasma citrulline level (PCL) reflects the functional integrity of intestinal mucosa which is partially lost during ACR. The aim of our study was to investigate the role of PCL as marker of ACR after SBTx. Eighteen German landrace pigs were used and divided into three groups.

Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within

Groundwater in most parts of the world is an important source of agricultural water supply for food production. Soil salinization, however, threatens groundwater quality and may cause irreparable damage to agricultural land. A key to tackling this threat is to analyze the link between agricultural crop water requirements and groundwater quality. This study aimed to investigate salinity effects on

Introduction: Traumatic axonal injury (TAI), often caused by rapid rotational forces and high-energy accidents, is common in severe traumatic brain injury (sTBI). The intracranial pressure (ICP) dynamics are often unpredictable, and the need for ICP monitoring remains debated. Research question: What is the incidence of ICP elevation in patients with TAI, and how often is escalated ICP-lowering tr

Soil erosion poses a significant environmental challenge in Dehradun due to its complex, steep terrain, heavy rainfall, and rapid urbanization. This study employed a Google Earth Engine-based approach to assess the average soil loss annually using the Revised Universal Soil Loss Equation (RUSLE). The analysis used various factors, including rainfall-runoff erosivity (R), soil erodibility (K), slop

The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks, sacrificing its explainability. In this work, we explore the potential of self-explaining neural networks (SENN) for survival analysis. We propose a new locally explainable

Accurate and continuous monitoring of inland surface‌ water dynamics is vital for sustainable water resource management, climate impact assessment, and ecological planning. This study introduces a machine learning-based remote sensing-based data-fusion framework that improves Sentinel-3 radar altimeter (SRAL) estimations of water surface elevation (WSE) by integrating ERA5 reanalysis climate varia

It is expected that, in the future, gas turbines will be operated on gaseous fuels currently unutilized. The ability to predict the range of feasible fuels, and the extent to which existing turbines must be modified to accommodate these fuels, rests on the nature of these fuels in the combustion environment. Understanding the combustion behavior is aided by investigation of syngases of similar com