Research Infinity - Search Results

Social Science

Exploring agenda-setting of offshore energy innovations: Niche-regime interactions in Dutch Marine Spatial Planning processes

The foreseen large-scale growth of offshore wind energy towards 2050 in pursuit of an energy transition obliges scholars and policymakers to start considering its integration in the wider offshore energy system. Both technological innovations and advances in spatial policy are necessary to facilitate offshore system integration. This study draws from agenda-setting theory to explore barriers and o...
Posted 2 years ago

Social Science

The anatomist’s perspective today towards human body donation for procurement of cadavers for study of human anatomy

Anatomy is the study of structure of human body. Dissection of human cadavers has always been an integral part of study of anatomy as well as research in it. Till now the only source for cadavers for dissection purposes were unclaimed bodies. Today the need for bodies for medical education has increased and most medical schools are experiencing difficulties in procuring the requisite number of cad...
Posted 2 years ago

Social Science

‘Still travelling’: Access to abortion post-12 weeks gestation in Ireland

This article focuses on access to abortion in Ireland post-12 weeks gestational age. It critically examines abortion access under the legislative sections 9, 10 and 11 of the Health (Regulation of Termination of Pregnancy) Act 2018, the Multi-Disciplinary Team (MDT) process, as well as the appeals process in place. We highlight existing ambiguities in diagnosing and certifying cases of risk to he...
Posted 2 years ago

Social Science

Something is (still) missing? Feminist services for forced migrants surviving sexual and gender-based violence in Sweden, Australia, Turkey and the United Kingdom

Aim Sexual and gender-based violence (SGBV) is a clear harm for individual and family health, as well as for society at large. A feminist public health should ensure that services meet women's self-identified needs, with an inclusive definition of woman-kind and an understanding of the intersectional nature of the disadvantage that forced migrant women face. Methods Semi-structured interviews...
Posted 2 years ago

Social Science

Finance for fossils – The role of public financing in expanding petrochemicals

The petrochemicals industry (mainly plastics and fertilizer production) is expanding, despite increasing attention to the environmental impact of petrochemicals. In our paper, we explore the role public finance plays in the petrochemicals industry. We do so by mapping the public and private financial flows into large-scale petrochemical projects for the decade 2010–20 and discuss the role of pub...
Posted 2 years ago

Social Science

Clean, green, and just? Community perspectives on the renewable energy transition in a New England city

In 2021, Massachusetts policymakers enacted a new climate law to cut carbon emissions by no less than 50% by 2030 on the way to a net zero energy system in 2050. Reaching this goal will require massive public investments in energy infrastructure, public and private efforts to make buildings and urban infrastructure more energy efficient, and shifts in personal energy consumption at the household l...
Posted 2 years ago

Social Science

Legal Protection for Workers who are at risk of being laid off due to exposure to Covid-19

This study aims to find answer to the problem of workers who are laid off because of illness for less than 12 month, Article 81 No 40 of the job Creation Law “Termination of employment carried out for reasons as referred to in paragraph (1) is null and void by law and the employer obliged to re-employ the worker concerned”. If the company continues to lay off workers, the workers can make dema...
Posted 2 years ago

Social Science

Energy Efficiency in the Residential, Service and Energy Sectors : Barriers, Drivers and System Studies

Increased energy efficiency is a prerequisite for achieving the national energy and climate goals, the goals set by the European Union, and the Sustainable Development Goals adopted by the member states of the United Nations. Close to 40% of Sweden’s total energy use and approximately 20% of domestic greenhouse gas emissions are allocated to the residential and service sector. There is great pot...
Posted 2 years ago

Social Science

A comparative survey of veterinarians, equine owners, and equine keepers regarding the knowledge and implementation of legal requirements in Germany for the use and documentation of veterinary medicines in equines intended for slaughter.

In Europe, equines destined for human consumption (hereafter called slaughter equines) are subject to the same restrictions of usage of veterinary drugs as other food-producing animals, with amendments regulated in the so-called 'positive list', Regulation (EC) No. 1950/2006. Due to the complex legal requirements for drug administration in slaughter equines, it might be that specific knowledge reg...
Posted 2 years ago

Social Science

Visitors’ Environmental Concerns in Gray’s Reef National Marine Sanctuary: An Offshore Marine Protected Area

Marine sanctuaries serve as popular destinations for ecotourism, natural resource exploration, and recreation across the US. While often positive, visitation in marine and coastal areas can cause ecological threats to these ecosystems. Increased visitation in marine environments has led to the need for management due to negative ecological and social impacts. Understanding environmental values, at...
Posted 2 years ago

Social Science

Intellectual property protection for traditional medical knowledge in China's context: a round peg in a square hole?

This article is an examination of the extent to which traditional medical knowledge in China can be protected by intellectual property laws. The analysis begins by providing a global picture with regard to the historic origin of intellectual property, exploring the reasons why China does not have indigenous counterparts to the western system of intellectual property rights protecting its tradition...
Posted 2 years ago

Physics Maths Engineering

Deep Learning Based Vehicle Detection on Real and Synthetic Aerial Images: Training Data Composition and Statistical Influence Analysis

The performance of deep learning based algorithms is significantly influenced by the quantity and quality of the available training and test datasets. Since data acquisition is complex and expensive, especially in the field of airborne sensor data evaluation, the use of virtual simulation environments for generating synthetic data are increasingly sought. In this article, the complete process chai...
Posted 1 year ago

Physics Maths Engineering

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach

This paper discusses the importance of detecting breaking events in real time to help emergency response workers, and how social media can be used to process large amounts of data quickly. Most event detection techniques have focused on either images or text, but combining the two can improve performance. The authors present lessons learned from the Flood-related multimedia task in MediaEval2020, ...
Posted 1 year ago

Physics Maths Engineering

Laser-Visible Face Image Translation and Recognition Based on CycleGAN and Spectral Normalization

The range-gated laser imaging instrument can capture face images in a dark environment, which provides a new idea for long-distance face recognition at night. However, the laser image has low contrast, low SNR and no color information, which affects observation and recognition. Therefore, it becomes important to convert laser images into visible images and then identify them. For image translation...
Posted 1 year ago

Physics Maths Engineering

Hierarchical fuzzy deep learning system for various classes of images

There has been an increasing interest in the development of deep-learning models for the large data processing such as images, audio, or video. Image processing has made breakthroughs in addressing important problems such as genome-wide biological networks, map interactions of genes and proteins, network, etc. With the increase in sophistication of the system, and other areas such as internet of t...
Posted 1 year ago

Physics Maths Engineering

Refining a deep learning-based formant tracker using linear prediction methods

In this study, formant tracking is investigated by refining the formants tracked by an existing data-driven tracker, DeepFormants, using the formants estimated in a model-driven manner by linear prediction (LP)-based methods. As LP-based formant estimation methods, conventional covariance analysis (LP-COV) and the recently proposed quasi-closed phase forward–backward (QCP-FB) analysis are used. ...
Posted 1 year ago

Physics Maths Engineering

An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment

Photoplethysmography (PPG) is a non-invasive technique used in wearable devices to measure vital signs (e.g., heart rate). The method is, however, highly susceptible to motion artifacts, which are inevitable in remote health monitoring. Noise reduces signal quality, leading to inaccurate decision-making. In addition, unreliable data collection and transmission waste a massive amount of energy on b...
Posted 1 year ago

Physics Maths Engineering

Poisson PCA for matrix count data

We develop a dimension reduction framework for data consisting of matrices of counts. Our model is based on the assumption of existence of a small amount of independent normal latent variables that drive the dependency structure of the observed data, and can be seen as the exact discrete analogue of a contaminated low-rank matrix normal model. We derive estimators for the model parameters and esta...
Posted 1 year ago

Physics Maths Engineering

Elucidating robust learning with uncertainty-aware corruption pattern estimation

Robust learning methods aim to learn a clean target distribution from noisy and corrupted training data where a specific corruption pattern is often assumed a priori. Our proposed method can not only successfully learn the clean target distribution from a dirty dataset but also can estimate the underlying noise pattern. To this end, we leverage a mixture-of-experts model that can distinguish two d...
Posted 1 year ago

Physics Maths Engineering

Object tracking and detection techniques under GANN threats: A systemic review

Current developments in object tracking and detection techniques have directed remarkable improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks, intrusions, and manipulation of images/ videos threaten video surveillance systems and other object-tracking applications. Generative adversarial neural networks (GANNs) are widely used image processing and object detec...
Posted 1 year ago

Physics Maths Engineering

Utilizing support vector and kernel ridge regression methods in spectral reconstruction

Two regression methods, namely, Support Vector Regression (SVR) and Kernel Ridge Regression (KRR), are used to reconstruct the spectral reflectance curves of samples of Munsell dataset from the corresponding CIE XYZ tristimulus values. To this end, half of the samples (i.e., the odd ones) were used as training set while the even samples left out for the evaluation of reconstruction performances. R...
Posted 1 year ago

Physics Maths Engineering

Arbitrary Order Total Variation for Deformable Image Registration

In this work, we investigate image registration in a variational framework and focus on regularization generality and solver efficiency. We first propose a variational model combining the state-of-the-art sum of absolute differences (SAD) and a new arbitrary order total variation regularization term. The main advantage is that this variational model preserves discontinuities in the resultant defor...
Posted 1 year ago

Physics Maths Engineering

Statistical hypothesis testing as a novel perspective of pooling for image quality assessment

Image quality assessment is usually achieved by pooling local quality scores. However, commonly used pooling strategies, based on simple sample statistics, are not always sensitive to distortions. In this short communication, we propose a novel perspective of pooling: reliable pooling through statistical hypothesis testing, which enables effective detection of subtle changes of population paramete...
Posted 1 year ago

Physics Maths Engineering

Feature weighting in DBSCAN using reverse nearest neighbours

DBSCAN is arguably the most popular density-based clustering algorithm, and it is capable of recovering non-spherical clusters. One of its main weaknesses is that it treats all features equally. In this paper, we propose a density-based clustering algorithm capable of calculating feature weights representing the degree of relevance of each feature, which takes the density structure of the data int...
Posted 1 year ago

Physics Maths Engineering

A multi-strategy contrastive learning framework for weakly supervised semantic segmentation

Weakly supervised semantic segmentation (WSSS) has gained significant popularity as it relies only on weak labels such as image level annotations rather than the pixel level annotations required by supervised semantic segmentation (SSS) methods. Despite drastically reduced annotation costs, typical feature representations learned from WSSS are only representative of some salient parts of objects a...
Posted 1 year ago

Physics Maths Engineering

Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead

Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the spatial and spectral information of the source images into a fused one, which has a higher spatial and spectral resolution and is more reliable for downstream tasks compared with any of the source images. It has been widely applied to image interpretation and pre-processing of various applications. A large number o...
Posted 1 year ago

Physics Maths Engineering

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach

This paper discusses the importance of detecting breaking events in real time to help emergency response workers, and how social media can be used to process large amounts of data quickly. Most event detection techniques have focused on either images or text, but combining the two can improve performance. The authors present lessons learned from the Flood-related multimedia task in MediaEval2020, ...
Posted 1 year ago

Physics Maths Engineering

Laser-Visible Face Image Translation and Recognition Based on CycleGAN and Spectral Normalization

The range-gated laser imaging instrument can capture face images in a dark environment, which provides a new idea for long-distance face recognition at night. However, the laser image has low contrast, low SNR and no color information, which affects observation and recognition. Therefore, it becomes important to convert laser images into visible images and then identify them. For image translation...
Posted 1 year ago

Physics Maths Engineering

Non-Linear Signal Processing Methods for UAV Detections from a Multi-Function X-Band Radar

This article develops the applicability of non-linear processing techniques such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-input-multiple-output (MIMO) for the purpose of enhanced UAV detections using portable radar systems. The combined scheme has many advantages and the potential for better detection and classification accurac...
Posted 1 year ago

Physics Maths Engineering

An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database

Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high real-time data processing requirements. The effective and reliable geometric positioning of remote sensing images is the foundation of remote sen...
Posted 1 year ago

Physics Maths Engineering

Image-Based Malware Detection Using α-Cuts and Binary Visualisation

Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs) thanks to the adoption of Convolutional Neural Networks (CNNs). However, there has been little effort toward image segmentation for the converted image...
Posted 1 year ago

Physics Maths Engineering

Attention Inspiring Receptive-Fields Multi-Task Network via Self- supervised Learning for Violence Recognition

Abstract Generally, a large amount of training data is essential to train deep learning model for obtaining more accurate detection performance in computer vision domain. However, to collect and annotate datasets will lead to extensive cost. In this letter, we propose a self-supervised auxiliary task to learn general videos features without adding any human-annotated labels, aiming at improving th...
Posted 1 year ago

Physics Maths Engineering

Robust Evidence C-Means Clustering Combining Spatial Information for Image Segmentation

Abstract Although evidence c-means clustering (ECM) based on evidence theory overcomes the limitations of fuzzy theory to some extent and improves the capability of fuzzy c-means clustering (FCM) to express and process the uncertainty of information, the ECM does not consider the spatial information of pixels, which makes it to be unable to effectively deal with noise pixels. Applying ECM directly...
Posted 1 year ago

Physics Maths Engineering

Improving Chest X-ray Report Generation by Leveraging Text of Similar Images

Automatic medical report generation is the production of reports from radiology images that are grammatically correct and coherent. Encoder-decoder is the most common architecture for report generation, which has not achieved to a satisfactory performance because of the complexity of this task. This paper presents an approach to improve the performance of report generation that can be easily added...
Posted 1 year ago

Physics Maths Engineering

E2E-BPF microscope: Extended depth-of-field microscopy using learning-based implementation of binary phase filter and image deconvolution

Abstract Several image-based biomedical diagnoses require high-resolution imaging capabilities at large spatial scales. However, conventional microscopes exhibit an inherent trade-off between depth-of-field (DoF) and spatial resolution, and thus require objects to be refocused at each lateral location, which is time-consuming. Here, we present a computational imaging platform, termed E2E-BPF micro...
Posted 1 year ago

Physics Maths Engineering

FitDepth: fast and lite 16-bit depth image compression algorithm

Abstract This article presents a fast parallel lossless technique and a lossy image compression technique for 16-bit single-channel images. Nowadays, such techniques are “a must” in robotics and other areas where several depth cameras are used. Since many of these algorithms need to be run in low-profile hardware, as embedded systems, they should be very fast and customizable. The proposal is ...
Posted 1 year ago

Physics Maths Engineering

Memorable beginnings, but forgettable endings: Intrinsic scene memorability alters our subjective experience of time

Time is the fabric of experience — yet it is incredibly malleable in the mind of the observer: seeming to drag on, or fly right by at different moments. One of the most influential drivers of temporal distortions is attention, where heightened attention dilates subjective time. But an equally important feature of subjective experience involves not just the objects of attention, but also what inf...
Posted 1 year ago

Physics Maths Engineering

Convolutional Neural Network-Based Automated System for Dog Tracking and Emotion Recognition in Video Surveillance

This paper proposes a multi–convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and recognizes the dogs’ emotions. The system uses a YOLOv3 model for dog detection. The dogs are tracked in real time with a deep association met...
Posted 1 year ago

Physics Maths Engineering

HYBRID SCHEMES BASED ON WAVELET TRANSFORM AND CONVOLUTIONAL AUTO-ENCODER FOR IMAGE COMPRESSION

In recent years, image compression techniques have received a lot of attention from researchers as the number of images at hand keep growing. Digital Wavelet Transform is one of them that has been utilized in a wide range of applications and has shown its efficiency in image compression field. Moreover, used with other various approaches, this compression technique has proven its ability to compre...
Posted 1 year ago

Physics Maths Engineering

Investigation on the Excitation Function of Alpha Induced Reaction on 116-Cd in the Energy Range between 15 and 40 Mev

In this work, the alpha particle-induced reaction on Cadmium-116 in the energy range 20-40 MeV has been studied. The excitation function for the following reaction channels of this type have been studied in the energy range of 15 MeV-40 MeV are; 48-Cd-116(α, n) 50-Sn-119. This reaction has a total number of exciton six, number of neutron one and number of holes also one. 48-Cd-116(α, 2n + p) 49-...
Posted 1 year ago

Biomedical

Development and implementation of a simple and rapid extraction-free saliva SARS-CoV-2 RT-LAMP workflow for workplace surveillance

Effective management of the COVID-19 pandemic requires widespread and frequent testing of the population for SARS-CoV-2 infection. Saliva has emerged as an attractive alternative to nasopharyngeal samples for surveillance testing as it does not require specialized personnel or materials for its collection and can be easily provided by the patient. We have developed a simple, fast, and sens...
Posted 8 months ago

No Category

Kufor-Rakeb syndrome-associated psychosis: a novel loss-of-function ATP13A2 variant and response to antipsychotic therapy

AbstractBiallelic (autosomal recessive) pathogenic variants in ATP13A2 cause a form of juvenile-onset parkinsonism, termed Kufor-Rakeb syndrome. In addition to motor symptoms, a variety of other neurological and psychiatric symptoms may occur in affected individuals, including supranuclear gaze palsy and cognitive decline. Although psycho...
Posted 8 months ago

No Category

A Comparative Analysis of COVID-19 Response Measures and Their Impact on Mortality Rate

(1) Background: The coronavirus disease 2019 (COVID-19) pandemic significantly affected the population worldwide, with varying responses implemented to control its spread. This study aimed to compare the epidemic data compiled by the World Health Organization (WHO) to understand the impact of the measures adopted by each country on the mortality rate. (2) Methods: The increase or decrease ...
Posted 8 months ago

Physics Maths Engineering

Adapting power calculations to include a superiority margin: what are the implications?

This paper examines the application of super-superiority margins in study power calculations. Unlike traditional power calculations, which primarily aim to reject the null hypothesis by any margin, a super-superiority margin establishes a clinically significant threshold. Despite potential benefits, this approach, akin to a non-inferiority calculation but in an opposing direction, is rarely use...
Posted 7 months ago

Biomedical

A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans

Early detection of metastatic prostate cancer (mPCa) is crucial. Whilst the prostate-specific membrane antigen (PSMA) PET scan has high diagnostic accuracy, it suffers from inter-reader variability, and the time-consuming reporting process. This systematic review was registered on PROSPERO (ID CRD42023456044) and aims to evaluate AI’s ability to enhance reporting, diagnostics, and predic...
Posted 7 months ago

Biomedical

18F-FDG PET-CT Scans in Oncology Patients Treated with Hyaluronic Acid Filler: Not Always a Pitfall

The use of hyaluronic acid (HA) fillers in oncology patients undergoing PET-CT scans is a topic of debate due to potential interference with imaging accuracy. A 54-year-old female, postmelanoma metastasectomy in the parotid region with subsequent facial nerve palsy (FNP), received HA filler injections for facial symmetry and functional restoration. Follow-up PET-CT scans showed no interference or ...
Posted 7 months ago

Biomedical

Effects of PET image reconstruction parameters and tumor-to-background uptake ratio on quantification of PET images from PET/MRI and PET/CT systems

PET/CT and PET/MRI are valuable multimodality imaging techniques for visualizing both functional and anatomical information. The most used PET reconstruction algorithm is Ordered Subset Expectation Maximization (OSEM). In OSEM, the image noise increases with increased number of iterations, and the reconstruction needs to be stopped before complete convergence. The Bayesian penalized likelihood (BP...
Posted 7 months ago

Biomedical

Fabrication and Testing of a PET insert for Simultaneous PET/FUS/MRI

Glioblastoma (GB) is the most common brain cancer and has limited survivability with a mean survival time of 15 months and an overall survival of less than 7 % after 5 years. Impediments to delivery of large molecule (e.g. antibodies) and cell therapeutics to a tumor include the blood–brain barrier (BBB) and the blood‐tumor barrier (BTB) which prevent large solutes from crossing from circulati...
Posted 7 months ago

Physics Maths Engineering

Hydroxyl-stretching region in the Raman broad scans on minerals of the vivianite group

Vivianite is a hydrated iron phosphate mineral (Fe3(PO4)2·8H2O), crystallized in a monoclinic system. It is the endmember of a mineral series known as the vivianite group, where minerals have the general formula A3(XO4)2·8H2O, A is a divalent metal cation and X is phosphorus P or arsenic As. Today, vivianite is attracting interest as a promising material for recovering phosphorous from wastewate...
Posted 7 months ago

Biomedical

Accelerating segmentation of fossil CT scans through Deep Learning

Recent developments in Deep Learning have opened the possibility for automated segmentation of large and highly detailed CT scan datasets of fossil material. However, previous methodologies have required large amounts of training data to reliably extract complex skeletal structures. Here we present a method for automated Deep Learning segmentation to obtain high-fidelity 3D models of fossils digit...
Posted 7 months ago

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