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Hand Veins Feature Extraction using DT-CNNs

As the identification process is based on the unique patterns of the users, biometrics technologies are expected to provide highly secure authentication systems. The existing systems using fingerprints or retina patterns are, however, very vulnerable. One’s fingerprints are accessible as soon as the person touches a surface, while a high resolution camera easily captures the retina pattern. Thus,

Modes of communication in artistic research: on Americanness and Architectural Influence on semiotic grounds

In relation to traditional modes of research within academic context, there is a recent interest in research methods where artistic practices set a larger part of the managerial guidelines, i. e. where the artist or artwork is not the subject of investigation, but rather the operative agent for the carrying through of a project and for the dissemination of results. These methods are by necessity t

The forging and forgetting the cult of St. Jovan Vladimir in contemporary montenegro

After the fall of Communism, the Serbian Orthodox Church has experienced a significant revival, part of which has been the recollection of past events, personas, sites and shrines in order to re-establish its position in the post-Yugoslav republics. One of these processes of recollection is devoted to the cult of St. Jovan Vladimir (d.1016) and the sites associated with him in southern Montenegro.

Watching the brain build memories across eye movements: an EEG - eye-tracking coregistration study

Introduction Episodic memory allows us to revisit our past and recollect inter-related elements that characterize life events (Tulving, 1983). When forming such relational memories, we only apprehend a small part of our visual field in full acuity at a time. This limitation is overcome by shifting visual attention over a sequence of eye movements. We bind these visual “samples” of the world into

Characterisation of the genetic discordance between body mass index and type 2 diabetes: a phenome-wide analysis : No 111

Background and aims: Obesity is on the rise globally, and is a leading risk factor for T2D. However, it is very heterogeneous, with varying degrees of T2D risk within the same levels of BMI. Better classification may lead to improve outcomes of current preventive and therapeutic strategies. Moreover, by elucidating the mechanisms uncoupling obesity from T2D risk, new possible therapeutic targets m

Extended Collective Licensing for Use of Copyrighted Works for Machine Learning

The fast development of generative artificial intelligence (“AI”) services—such as ChatGPT, Midjourney, Dall-E—have within a short period of time gained immense uptake and popularity. At the same time, such services have given rise to fundamental challenges from a copyright perspective. Court proceedings have been initiated in many jurisdictions on the compatibility of such services with copyright

Fine-tuning lung cancer nanotherapy using closed cardiopulmonary circulation

Statement of Purpose: Lung cancer is the leading cause of cancer-related deaths and efficient therapies remain elusive. One emerging approach is to use nanoparticles (NPs) that are designed to specifically target malignant cells (1). Such targeting increases on-site drug doses and reduces systemic side effects. A common target in lung tumors is epidermal growth factor receptor (EGFR). Here, we ex

The Phases of a Discrete Flow of Particles on Graphs

We study in detail the linear flow of particles on a graph with one vertex and k+1 infinite edges. This has a rich environment with many different emergent behaviours depending on the system parameters. The abrupt change in the behaviour of the system along a continuous change of the parameters manifests multiple phase transitions.We discuss the physical interpretation of the considered simple modWe study in detail the linear flow of particles on a graph with onevertex and k+1 infinite edges. This has a rich environment with many differentemergent behaviours depending on the system parameters. The abrupt changein the behaviour of the system along a continuous change of the parametersmanifests multiple phase transitions.We discuss the physical interpretation of the considered simple model ofpa

Artificial intelligence for detection of prostate cancer in biopsies during active surveillance

Objectives: To evaluate a cancer detecting artificial intelligence (AI) algorithm on serial biopsies in patients with prostate cancer on active surveillance (AS). Patients and methods: A total of 180 patients in the Prostate Cancer Research International Active Surveillance (PRIAS) cohort were prospectively monitored using pre-defined criteria. Diagnostic and re-biopsy slides from 2011 to 2020 (n

Highly Accurate and Noise-Robust Phase Delay Estimation using Multitaper Reassignment

The recently developed Phase-Scaled Reassignment (PSR) can estimate phase-difference between two oscillating transient signals with high accuracy. However, in low signal-to-noise ratios (SNRs) the performance of commonly applied reassignment techniques is known to deteriorate. In order to reduce variance in low SNR, we propose a multitaper PSR (mtPSR) method for phase-difference estimation between

Coherence Expectation Minimisation and Combining Weighted Multitaper Estimates

Coherence is a useful measure in many engineering applications. Here, we focus on the case where the input signal to a linear system can be measured free from noise, but the output signal is perturbed by noise. A novel expression for the expectation of a multitaper magnitude squared coherence estimate for this case is presented and verified through numerical evaluation. Additionally, the expressio

Robust multitaper reassignment vectors for enhanced time-frequency representation

Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectro

Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment

In the literature, auditory attention is explored through neural speech tracking, primarily entailing modeling and analyzing electroencephalography (EEG) responses to natural speech via linear filtering. Our study takes a novel approach, introducing an enhanced coherence estimation technique to assess the strength of neural speech tracking. This enables effective discrimination between attended an

Navigating in Closeness with Residents at Group Homes for Adults with Intellectual Disabilities: Self-Determination and Ethical Dilemmas in Everyday Work

Based on the perspective of frontline staff who work closely with adults with intellectual disabilities (ID) in group homes in Sweden, this article explores ethical dilemmas that arise when daily tasks intersect with efforts to achieve the disability policy goal of self-determination and the nature of close work relationships. Using the successive focus group interview method, the study highlights

Ultrasound features of endometrial pathology in women without abnormal uterine bleeding : results from the International Endometrial Tumor Analysis study (IETA3)

OBJECTIVES: The primary aim of this study was to describe the ultrasound features of various endometrial and other intracavitary pathologies in women without abnormal uterine bleeding (AUB) using the International Endometrial Tumor Analysis (IETA) terminology. The secondary aim was to compare our findings with published data on women with AUB. METHODS: This was a prospective observational study of