Awesome

Whole-genome sequencing has become the method of choice for bacterial outbreak investigation, with most clinical and public health laboratories currently routinely using short-read Illumina sequencing. Recently, long-read Oxford Nanopore Technologies (ONT) sequencing has gained prominence and may offer advantages over short-read sequencing, particularly with the recent introduction of the R10 chemistry, which promises much lower error rates than the R9 chemistry. However, limited information is available on its performance for bacterial single-nucleotide polymorphism (SNP)-based outbreak investigation...

In the field of visual scene understanding, deep neural networks have made impressive advancements in various core tasks like segmentation, tracking, and detection. However, most approaches operate on the close-set assumption, meaning that the model can only identify pre-defined categories that are present in the training set. Recently, open vocabulary settings were proposed due to the rapid progress of vision language pre-training. These new approaches seek to locate and recognize categories beyond the annotated label space...

Yeasts are naturally diverse, genetically tractable, and easy to grow such that researchers can investigate any number of genotypes, environments, or interactions thereof. However, studies of yeast transcriptomes have been limited by the processing capabilities of traditional RNA sequencing techniques. Here we optimize a powerful, high-throughput single-cell RNA sequencing (scRNAseq) platform, SPLiT-seq (Split Pool Ligation-based Transcriptome sequencing), for yeasts and apply it to 43,388 cells of multiple species and ploidies...

PURPOSE: In recent years there has been a noticeable increase in the use of advanced hybrid closed-loop systems (AHCLs) for managing type 1 diabetes (T1D) among youth. However, there is a lack of comparison between the open-source automated insulin delivery (AID) system and the MiniMed™ 780 G system (780 G). METHODS: In this multi-center study, we retrospectively compared selected glycemic ranges of 26 individuals who used open-source AID and 20 individuals who used 780 G (age 11...

Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of StyleGAN, from PGGAN to StyleGAN3, and explores relevant topics such as suitable metrics for training, different latent representations, GAN inversion to latent spaces of StyleGAN, face image editing, cross-domain face stylization, face restoration, and even Deepfake applications. We aim to provide an entry point into the field for readers that have basic knowledge about the field of deep learning and are looking for an accessible introduction and overview...

The purpose of this study was to examine competing hypotheses (positive vs. negative) on how organizational members' familiarity with multiple stakeholders differentially relates to members' social identity and perception of leadership styles grounded in relational and emotional factors. Specifically, we developed and tested a conceptual model wherein employees' familiarity with leaders, colleagues, and externals plays a differential role in predicting the extent to which they identify with their workgroup (i...

The remarkable performance of deep Convolutional neural networks (CNNs) is generally attributed to their deeper and wider architectures, which can come with significant computational costs. Pruning neural networks has thus gained interest since it effectively lowers storage and computational costs. In contrast to weight pruning, which results in unstructured models, structured pruning provides the benefit of realistic acceleration by producing models that are friendly to hardware implementation. The special requirements of structured pruning have led to the discovery of numerous new challenges and the development of innovative solutions...

"I chose my current career path because my college PChem professors were inspiringly awesome… The most exciting thing about my research is the sheer diversity of topics I can study with quantum chemistry!" Find out more about Diptarka Hait in his Introducing… Profile.

The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision. Among other merits, Transformers are witnessed as capable of learning long-range dependencies and spatial correlations, which is a clear advantage over convolutional neural networks (CNNs), which have been the de facto standard in Computer Vision problems so far. Thus, Transformers have become an integral part of modern medical image analysis. In this review, we provide an encyclopedic review of the applications of Transformers in medical imaging...

Temporal action segmentation (TAS) in videos aims at densely identifying video frames in minutes-long videos with multiple action classes. As a long-range video understanding task, researchers have developed an extended collection of methods and examined their performance using various benchmarks. Despite the rapid growth of TAS techniques in recent years, no systematic survey has been conducted in these sectors. This survey analyzes and summarizes the most significant contributions and trends. In particular, we first examine the task definition, common benchmarks, types of supervision, and prevalent evaluation measures...

There is limited research that specifically explores paternal involvement during pregnancy and childbirth. To address this gap, we completed a series of focus groups with fathers to examine social, cultural, and environmental factors that influence behaviors among new fathers while also providing community perspectives on men's experiences seeking care pre- and postdelivery. We used a phenomenological thematic approach to analyze data from 10 focus groups from five of the six Alliance for Innovation on Maternal Health-Community Care Initiative pilot sites collected between November 2021 and April 2022...

AUDIENCE: This scenario was developed to educate emergency medicine residents on the diagnosis and management of wound botulism secondary to injection drug use. INTRODUCTION: Botulism is a relatively rare cause of respiratory failure and descending weakness in the United States, caused by prevention of presynaptic acetylcholine release at the neuromuscular junction. This presentation has several mimics, including myasthenia gravis and the Miller-Fisher variant of Guillain-Barré...

A Janus metastructure (MS) assisted by a waveguide structure (WGS) resting on anapole modes and exhibiting direction-dependent behavior has been developed in the terahertz (THz) region. Ultra-broadband absorption is formed by the destructive interference through the anapole as well as Janus trait and is shaped by nested WGS. In this design, vanadium dioxide (VO2 ) is expected to attain functional transformation from plasmon-induced transparency (PIT) to absorption. The insulating nature of the VO2 results in the creation of the PIT, which is characterized by a wide and high transmission window ranging from 1...

BACKGROUND: Studies of the lived experience of chronic obstructive pulmonary disease (COPD) reveal a number of challenges patients face when interacting with healthcare providers that may be exacerbated by unwillingness or inability to quit smoking. However, none have explored, in-depth, primary care experiences among patients with COPD in community healthcare settings. AIMS/ OBJECTIVE: The study investigated healthcare experiences of patients living independently in the community with COPD who smoked or had recently quit (at most within the last 5 years), seeking care in primary care settings...

Following unprecedented success on the natural language tasks, Transformers have been successfully applied to several computer vision problems, achieving state-of-the-art results and prompting researchers to reconsider the supremacy of convolutional neural networks (CNNs) as de facto operators. Capitalizing on these advances in computer vision, the medical imaging field has also witnessed growing interest for Transformers that can capture global context compared to CNNs with local receptive fields. Inspired from this transition, in this survey, we attempt to provide a comprehensive review of the applications of Transformers in medical imaging covering various aspects, ranging from recently proposed architectural designs to unsolved issues...

PURPOSE: The use of open-source automated insulin delivery systems (OS-AIDs), for the management of type 1 diabetes (T1D), has increased over recent years in all age groups. Real-life data has demonstrated the safety and efficacy of these systems, however, studies in the pediatric population remain limited. In this study, we aimed to examine the effect of transition to an OS-AIDs on glycemic parameters, and on several aspects related to quality of life. In addition, we aimed to characterize the socioeconomic position of families who chose this treatment modality, assess their motivations to do so, and evaluate treatment satisfaction...

Background and Aims: Achieving good glycemic control is a major challenge for adolescents with type 1 diabetes (TID). The introduction of the MiniMed 780G system, an advanced hybrid closed-loop (AHCL) that enables an automatic correction of insulin, gave hope for improved glycemic outcomes in adolescents. We assessed specific characteristics associated with glycemic measures in youth with T1D switching to Minimed 780G. Methods: This retrospective observational real-life multicenter study from the AWeSoMe Group assessed continuous glucose monitoring (CGM) metrics of 22 patients (59% females, median age 13...

Kangaroo mother care (KMC) is effective in increasing mothers' initiation and maintenance of breastfeeding (BF) for extreme and very preterm (VLBW) infants. Although South Africa has implemented KMC for more than two decades, little is known about mothers' perspectives on KMC. The purpose of this study was to describe the BF intentions and practices of mothers of VLBW infants at home following discharge and assess the role long stay in KMC has on their decision to BF beyond discharge. This qualitative study was conducted at the KMC unit of a tertiary hospital in Pretoria, South Africa...

Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes). The rapid increase of proposed spectral indices led to a high demand for catalogues of spectral indices and tools for their computation. However, most of these resources are either closed-source, outdated, unconnected to a catalogue or lacking a common Application Programming Interface (API). Here we present "Awesome Spectral Indices" (ASI), a standardized catalogue of spectral indices for Earth system research...

GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model so that the image can be faithfully reconstructed from the inverted code by the generator. As an emerging technique to bridge the real and fake image domains, GAN inversion plays an essential role in enabling pretrained GAN models, such as StyleGAN and BigGAN, for applications of real image editing. Moreover, GAN inversion interprets GAN's latent space and examines how realistic images can be generated. In this paper, we provide a survey of GAN inversion with a focus on its representative algorithms and its applications in image restoration and image manipulation...