Glycosylation is a highly complex modification influencing the functions and activities of proteins. Interpretation intact glycopeptide spectra crucial but challenging. In this paper, we present mass spectrometry-based automated identification platform (MAGIC) to identify peptide sequences glycan compositions directly from N-linked collision-induced-dissociation spectra. The Y1 (peptideY0 + GlcNAc) ion critical for correct analysis unknown glycoproteins, especially without prior knowledge...

When an image classifier makes a prediction, which parts of the are relevant and why? We can rephrase this question to ask: image, if they were not seen by classifier, would most change its decision? Producing answer requires marginalizing over images that could have been but weren't. sample plausible in-fills conditioning generative model on rest image. then optimize find regions classifier's decision after in-fill. Our approach contrasts with ad-hoc in-filling approaches, such as blurring...

Generalized additive models (GAMs) have become a leading model class for interpretable machine learning. However, there are many algorithms training GAMs, and these can learn different or even contradictory models, while being equally accurate. Which GAM should we trust? In this paper, quantitatively qualitatively investigate variety of on real simulated datasets. We find that GAMs with high feature sparsity (only using few variables to make predictions) miss patterns in the data be unfair...

Mental illnesses rank as some of the most disabling conditions, affecting millions people, across globe. In general, main challenge mental disorders is that they remain difficult to detect on suffering patients. an online environment, extends collection patients data and implementation proper algorithms assist in detection such illnesses. this paper, we propose a novel mechanism build predictive models leverage language behavioral patterns, used particularly Twitter, determine whether user...

Molnupiravir is an orally bioavailable prodrug of the nucleoside analogue β-D-N4-hydroxycytidine (NHC) and used to treat coronavirus disease 2019 (COVID-19). However, pharmacokinetics transplacental transfer molnupiravir in pregnant women are still not well understood. In present study, we investigated hypothesis that NHC cross blood-placenta barrier into fetus.A multisite microdialysis coupled with a validated ultrahigh-performance liquid chromatography-tandem mass spectrometry...

A dynamic quality-scalable H.264 video encoder is presented for power-adaptive encoding. In 0.13mum CMOS technology, it requires 470kgates/13.3kB SRAM and consumes 7mW/183mW in encoding 30fps CIF/HD720 video. Compared to the state-of-the-art design real-time HD720 encoding, a 49% reduction gate count 61% internal memory achieved

Deep neural networks (DNNs) achieve state-of-the-art results in a variety of domains. Unfortunately, DNNs are notorious for their non-interpretability, and thus limit applicability hypothesis-driven domains such as biology healthcare. Moreover, the resource-constraint setting, it is critical to design tests relying on fewer more informative features leading high accuracy performance within reasonable budget. We aim close this gap by proposing new general feature ranking method deep learning....

Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge mental is that they difficult to detect on suffering patients, thus presenting an alarming number undetected cases misdiagnosis. In this paper, we aim at building predictive models leverage language behavioral patterns, used particularly in social media, determine whether a user two disorder. These made possible by employing novel data collection process,...

Abstract Drones have been applied to a wide range of security and surveillance applications recently. With drones, Internet Things are extending 3D space. An interesting question is: Can we conduct person identification (PID) in drone view? Traditional PID technologies such as RFID fingerprint/iris/face recognition their limitations or require close contact specific devices. Hence, these traditional can not be easily deployed drones due dynamic change view angle height. In this work,...

Mental illnesses rank as some of the most disabling conditions, affecting millions people, across globe. In general, main challenge mental disorders is that they remain difficult to detect on suffering patients. an online environment, extends collection patients data and implementation proper algorithms assist in detection such illnesses. this paper, we propose a novel mechanism build predictive models leverage language behavioral patterns, used particularly Twitter, determine whether user...

Abstract Paxlovid (nirmatrelvir plus ritonavir) is an orally available drug for the treatment of COVID-19 disease. However, limited information remains on biological barrier transfer nirmatrelvir. In present study, we investigated whether nirmatrelvir crosses blood-placenta to reach conceptus (the collective term fetus, placenta, and amniotic fluid) during pregnancy blood–brain (BBB) in male rats. Additionally, this gender issues were investigated. Multisite microdialysis coupled with...

Despite the success of machine learning applications in science, industry, and society general, many approaches are known to be non-robust, often relying on spurious correlations make predictions. Spuriousness occurs when some features correlate with labels but not causal; such prevents models from generalizing unseen environments where break. In this work, we focus image classification propose two data generation processes reduce spuriousness. Given human annotations subset responsible...

The antiviral drug molnupiravir is an orally bioavailable prodrug of the nucleoside analog β-D-N4-hydroxycytidine (NHC), which used to treat coronavirus disease 2019 (COVID-19). However, there very little information on barrier distribution molnupiravir. Our hypothesis that and NHC can penetrate blood‒brain (BBB) into brain tissue transporters (equilibrative transporters; ENT concentrative CNT) modulate this process.To investigate mechanism transport through BBB, multiple microdialyses...

Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge mental is that they difficult to detect on suffering patients, thus presenting an alarming number undetected cases misdiagnosis. In this paper, we aim at building predictive models leverage language behavioral patterns, used particularly in social media, determine whether a user two disorder. These made possible by employing novel data collection process,...

This paper presents Intelligent Plant Care Hydroponic Box (IPCH-Box) that exercises environment driven control methods through an Internet-of-Things (IoT) management tool called IoTtalk. IoTtalk provides a scalable and configurable software for users to easily quickly add/remove/exchange the sensors actuators, program their interactions. From experimental measurement results of IPCH-Box, developed include LED lighting, water spray pump which can effectively lower CO <sub...

The increasing proliferation of third-generation semiconductor silicon carbide (SiC) products has led to the emergence SiC powder as an industrial byproduct. To reutilize efficiently, we propose a facile method for fabrication photocatalytic plates from reclaimed SiC. Our approach involves affixing onto glass surface with laser cladding, followed by sputter deposition gold film and annealing. resulting nanogold-coated plate exhibited enhanced activity due injection hot electrons into via...