Miracle-dz/UniFAR-FTUs huggingface dataset:
A Robust Adaptive Angle Algorithm for Imaging Bionic Polarization Navigation Sensor

This paper presents a precise angular algorithm for the imaging bionic polarization navigation sensor. The algorithm is targeted for a imaging sensor with bilayer nanowire polarizer which is multi-orientated of 0°, 60°, 120° and 90°, 150°, 210°. The algorithm is considered to extract intensity values of pixels in homogeneous regions, eliminate noise contained in image and compensate errors occured in the fabricaiton process of nanowire polarization filters. And the occlusion problem has to be compensated by neighboring pixels. The algorithm considered in this paper is able to solve overdetermined system of linear equations, and give a set of least square solutions of the Stokes parameters and the angle of polarization as output. The performance of the algorithm along with the experimental results of the angle measurement are also presented. Based on the comparison results, the algorithm achieves a best performance for the angle of polarization.
Learning Beyond Human Expertise with Generative Models for Dental Restorations

Computer vision has advanced significantly that many discriminative approaches such as object recognition are now widely used in real applications. We present another exciting development that utilizes generative models for the mass customization of medical products such as dental crowns. In the dental industry, it takes a technician years of training to design synthetic crowns that restore the function and integrity of missing teeth. Each crown must be customized to individual patients, and it requires human expertise in a time-consuming and labor-intensive process, even with computer-assisted design software. We develop a fully automatic approach that learns not only from human designs of dental crowns, but also from natural spatial profiles between opposing teeth. The latter is hard to account for by technicians but important for proper biting and chewing functions. Built upon a Generative Adversar-ial Network architecture (GAN), our deep learning model predicts the customized crown-filled depth scan from the crown-missing depth scan and opposing depth scan. We propose to incorporate additional space constraints and statistical compatibility into learning. Our automatic designs exceed human technicians' standards for good morphology and functionality, and our algorithm is being tested for production use.
Postmating transcriptional changes in the female reproductive tract of the European corn borer moth

Mating triggers a cascade of physiological and behavioural responses in females that persist after copulation. In insects, seminal fluid proteins contained within male ejaculates are known to initiate some responses, but our understanding of how females mediate these reactions remains limited. Few studies have examined postmating transcriptional changes within ejaculate‐receiving organs within females or how these changes might depend on the identity of the male. Furthermore, whereas males of many insects transfer packaged ejaculates, transcriptional dynamics have mainly been examined in dipterans, in which males transfer a free ejaculate. To identify genes that may be important in mediating female physiological responses in a spermatophore‐producing species, we sequenced the transcriptomes of the ejaculate‐receiving organs and examined postmating gene expression within and between pheromone strains of the European corn borer (ECB) moth, Ostrinia nubilalis. After within‐strain mating, significant differential expression of 978 transcripts occurred in the female bursa or its associated bursal gland, including peptidases, transmembrane transporters, and hormone processing genes; such genes may potentially play a role in postmating male–female interactions. We also identified 14 transcripts from the bursal gland that were differentially expressed after females mated with cross‐strain males, representing candidates for previously observed postmating reproductive isolation between ECB strains.
Efficient load balancing for multicast traffic in data center networks using SDN

We aim at improving the state of the art in organizing multicast communication for data center networks. Our novel General Load Balancer (GLB) approach leverages the Software Defined Networking (SDN) technology for efficiently distributing the multicast flow table entries and traffic in the network, thus avoiding link congestion and switch overflow. We target the popular FatTree topology, for which we ensure the construction of optimal multicast trees in terms of bandwidth usage and multicast entries usage. Our experiments show significant improvements in network parameters, e. g. , bandwidth usage per link, group table utilization, and packet loss, as compared to the related approaches, such as Shortest Path Trees (SPT) and Avalanche Routing Algorithm (AvRA).
Development of a novel hybrid powder formulated to quench body odor

The mechanism of choice to quench short-chain fatty acid malodors was to convert volatile short-chain fatty acids into their corresponding nonvolatile odorless metallic salts. Several metal-containing candidates were evaluated by means of headspace gas chromatography (HS-GC) for their ability to efficiently quench shortchain fatty acids. Zinc oxide was found most suitable for this purpose. Despite its strong deodorizing power, due to its aggregating ability, shortcomings uch as clogging of aerosols and rough texture are unavoidable when formulating zinc oxide into deodorant products of various forms. By forming a hybrid powder in which zinc oxide is uniformly covered on the surface of a spherical resin such as nylon, these shortcomings were overcome without sacrificing any deodorizing power.
Simple and Effective Semi-Supervised Question Answering

Recent success of deep learning models for the task of extractive Question Answering (QA) is hinged on the availability of large annotated corpora. However, large domain specific annotated corpora are limited and expensive to construct. In this work, we envision a system where the end user specifies a set of base documents and only a few labelled examples. Our system exploits the document structure to create cloze-style questions from these base documents; pre-trains a powerful neural network on the cloze style questions; and further fine-tunes the model on the labeled examples. We evaluate our proposed system across three diverse datasets from different domains, and find it to be highly effective with very little labeled data. We attain more than 50% F1 score on SQuAD and TriviaQA with less than a thousand labelled examples. We are also releasing a set of 3.2M cloze-style questions for practitioners to use while building QA systems.
Increased plasma cathepsin S and trombospondin-1 in patients with acute ST-segment elevation myocardial infarction

Background The role of cathepsins in the pathological progression of atherosclerotic lesions in ischemic heart disease have been defined in detail more than numerous times. This investigation examined the platelet-specific biomarker trombospondin-1 (TSP-1) and platelet function ex vivo, and compared this with cathepsin S (Cat-S; a biomarker unrelated to platelet activation but also associated this with increased mortality risk) in patients with ST-segment elevation myocardial infarction (STEMI). Methods The STEMI patients were divided into two groups depending on the degree of coronary vessel occlusion: those with closed (n = 90) and open culprit vessel (n = 40). Cat-S and TSP-1 were analyzed before, 1–3 days after and 3 months after percutanous coronary intervention (PCI). Results During acute STEMI, plasma TSP-1 was significantly elevated in patients with closed culprit lesions, but rapidly declined after PCI. In fact, TSP-1 after PCI was significantly lower inpatient samples compared to healthy individuals. In comparison, plasma Cat-S was significantly elevated both before and after PCI. In patients with closed culprit lesions, Cat-S was significantly higher compared to patients with open culprit lesions 3 months after PCI. Although troponin-I were higher (p < 0.01) in patients with closed culprit lesion, there was no correlation with Cat-S and TSP-1. Conclusions Cat-S but not TSP-1 may be a useful risk biomarker in relation to the severity of STEMI. However, the causality of Cat-S as a predictor for long-term mortality in STEMI remains to be ascertained in future studies.
Study of anti adhesive properties of fruit juices and plant extracts on urinary tract pathogens

Urinary tract infections (UTI) are one of the most commonly found health problems affecting millions of people each year. Escherichia coli and Candida albicans are the main causative agents of UTI. This project was aimed at studying the inhibitory effect of plant derived extracts viz. ginger (Z. officinale) and pomegranate (P. granatum) and juices of cranberry and orange on the adhesion of E. coli and C. albicans to inert surfaces. Biofilm formation on the surface of catheter material was studied by Tetrazolium Reduction Assay and Blot Succession Technique. Ginger extract was found to be a better anti adhesive than pomegranate extract. Both, cranberry as well as orange was found to decrease the strength of attachment of E. coli and C. albicans to inert surfaces. Since epithelial cells normally used for adhesion inhibition assays are costly and high skill demanding, a further attempt was made to develop non-living adherence systems for such adhesion inhibition testing assays. Three inert surfaces viz. glass coverslips, polystyrene sheets and silicon tubes were used for biofilm formation. Glass coverslips were the most effective for such assays. Furthermore, pre-treatment of the glass surface altered the adhesion properties of the microbes further increasing their selectivity.
On the Convergence Time of Dual Subgradient Methods for Strongly Convex Programs

This paper studies the convergence time of dual gradient methods for general (possibly nondifferentiable) strongly convex programs. For general convex programs, the convergence time of dual subgradient/gradient methods with simple running averages (running averages started from iteration 0) is known to be <inline-formula><tex-math notation="LaTeX"> $O(\frac{1}{\epsilon ^{2}})$</tex-math></inline-formula>. This paper shows that the convergence time for general strongly convex programs is <inline-formula><tex-math notation="LaTeX">$O(\frac{1}{\epsilon })$</tex-math> </inline-formula>. This paper also considers a variation of the average scheme, called the sliding running averages, and shows that if the dual function of the strongly convex program is locally quadratic then the convergence time of the dual gradient method with sliding running averages is <inline-formula><tex-math notation="LaTeX">$O(\log (\frac{1}{\epsilon }))$</tex-math></inline-formula>. The convergence time analysis is further verified by numerical experiments.
Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback

A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four‐dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D‐CT images caused by irregular breathing, as well as improve delivery efficiency during treatment, where respiratory irregularity is a concern. This article describes the commissioning and quality assurance (QA) procedures developed for this peripheral respiratory training system, the Stanford Respiratory Training (START) system. Using the Varian real‐time position management system for the respiratory signal input, the START software was commissioned and able to acquire sample respiratory traces, create a patient‐specific guiding waveform, and generate audiovisual signals for improving respiratory regularity. Routine QA tests that include hardware maintenance, visual guiding‐waveform creation, auditory sounds synchronization, and feedback assessment, have been developed for the START system. The QA procedures developed here for the START system could be easily adapted to other respiratory training systems based on audiovisual biofeedback. PACS number: 87.56. Fc
A proof-of-concept wearable photoplethysmography sensor-node for near real-time pulse transit time measurements

Use of pulse transit time for estimating blood pressure is a promising method that could potentially address the pressing need for an unobtrusive and continuous blood pressure measurement technique. In this paper, we present a novel wearable smart sensor-node system that captures and transmits the distal timing information of pulse waves to a remote location for near real-time pulse transit time measurements. The proof-of-concept system monitors photoplethysmography signals captured from finger, identifies the foot-points of the waveforms, and transmits the timing information of the foot-points to a receiver over a free-space optical channel. Measurements from one healthy subject show that the average time difference between the distal timing information received in near real-time and calculated off-line is 34±6.2 ms. Supplied by a single 5 V power supply, the proof-of-concept system consumes 190 mW.
How to feed patients with gastrointestinal mucositis

Purpose of review Gastrointestinal mucositis is a frequent side effect of systemic anticancer treatment and radiotherapy. The occurrence endangers body resources by decreasing food intake and absorption. This review highlights new developments in treatment and prevention. Recent findings Recent clinical practice guidelines recommend supplying adequate amounts of energy and nutrients to cancer patients undergoing anticancer treatments. This requires repeated screening for risk of malnutrition and in at-risk patients, assessment of food intake and nutritional status, followed by nutritional interventions targeted at individual deficiencies and tolerance to oral, enteral or parenteral feeding. Recent preclinical data report beneficial effects of stimulating the sensor for cell damage signals TRPA1, blocking histamine H2 receptors or supplying probiotics. In a recent clinical trial, amifostine reduced gastrointestinal symptoms and was well tolerated. Probiotics are studied in ongoing clinical trials and glucagon-like peptide 2 analogues are considered for future trials. Due to limited options available today, it has been suggested to also consider several plant-based complementary therapies. Summary Although options for prevention and treatment of chemotherapy or radiotherapy-induced gastrointestinal mucositis today are still limited, inadequate energy and nutrient intake should trigger nutritional interventions, including counselling, oral nutritional supplements, tube feeding and parenteral nutrition. To prevent gastrointestinal mucositis, several new agents have shown promising results in preclinical trials.
Ocean Color Measurements from Landsat-8 OLI using SeaDAS

The Operational Land Imager (OLI) is a multi-spectral radiometer hosted on the recently launched Landsat-8 satellite. OLI includes a suite of relatively narrow spectral bands at 30-meter spatial resolution in the visible to shortwave infrared that make it a potential tool for ocean color radiometry: measurement of the reflected spectral radiance upwelling from beneath the ocean surface that carries information on the biogeochemical constituents of the upper ocean euphotic zone. To evaluate the potential of OLI to measure ocean color, processing support was implemented in SeaDAS, which is an open-source software package distributed by NASA for processing, analysis, and display of ocean remote sensing measurements from a variety of satellite-based multi-spectral radiometers. Here we describe the implementation of OLI processing capabilities within SeaDAS, including support for various methods of atmospheric correction to remove the effects of atmospheric scattering and absorption and retrieve the spectral remote-sensing reflectance (Rrs; sr exp 1). The quality of the retrieved Rrs imagery will be assessed, as will the derived water column constituents such as the concentration of the phytoplankton pigment chlorophyll a.
Virtualization Techniques Compared: Performance, Resource, and Power Usage Overheads in Clouds

Virtualization solutions based on hypervisors or containers are enabling technologies for scalable, flexible, and cost-effective resource sharing. As the fundamental limitations of each technology are yet to be understood, they need to be regularly reevaluated to better understand the trade-off provided by latest technological advances. This paper presents an in-depth quantitative analysis of virtualization overheads in these two groups of systems and their gaps relative to native environments based on a diverse set of workloads that stress CPU, memory, storage, and networking resources. KVM and XEN are used to represent hypervisor-based virtualization, and LXC and Docker for container-based platforms. The systems were evaluated with respect to several cloud resource management dimensions including performance, isolation, resource usage, energy efficiency, start-up time, and density. Our study is useful both to practitioners to understand the current state of the technology in order to make the right decision in the selection, operation and/or design of platforms and to scholars to illustrate how these technologies evolved over time.
The Formation of Doxorubicin Loaded Targeted Nanoparticles usingNanoprecipitation, Double Emulsion and Single Emulsion for CancerTreatment

Chemotherapeutic agents lead to the damage of healthy cells because they react with cells which are dividing at a high rate by inhibiting the DNA synthesis and interfering with the process of cell division. "Therapeutic drug delivery allows for an increase in the efficacy of the chemotherapeutic agent while minimizing the interaction with nontumour sites in the body by controlling the release rate of the therapeutic agent and having targeted sites on the nanoparticle which will allow the nanoparticle to release its contents at targeted sites. " There are three main methods of creating nanocarriers for drug delivery that will be consider in this paper, nanoprecipitation, single emulsion and double emulsion. N Single emulsion is the formation of nanoparticles through oil in water emulsion. Another way to decrease the toxic effect of the drug loaded nanoparticle on the cells is by having specific ligands attached to the nanoparticle that specifically targets a cancer cells or have magnetic particles that one can move to the area where the tumour is located by using a magnet
Accident prone area detection using driver stress data base

Accident experience of a particular location is more than the other locations of the same road, due to the road or environmental conditions. These locations are called as accident prone area. The accident prone areas are identified based on the observed number of crashes and regression analyses. But these methods have its own limitation. The goal of this study was to help the drivers as well as government to identify most stressful locations during driving and identify accident-prone areas before any accidents are occurring. In this study, we used heart rate variability (HRV) analysis for the driver stress level monitoring and link driver stress with an application on the head unit runs the infotainment system.
The application of deep learning on depth from multi-array camera

Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations in a multi-array camera. This is done by providing a framework of deep neural networks to determine depth map from a sequence of images captured by a multi-array camera. Capturing depth information enables users to perform a range of post-capture edits such as refocusing, and creating a 3D model of any scene. Thus it is essential to calculate an accurate depth map while using the minimum computational resources.
Quality of Life in Patients with Dohlman-Doane Type 1 Keratoprosthesis(Boston Kpro)

Introduction: The aim of this study was to assess quality of life in patients undergoing implantation of a Dohlman keratoprosthesis. Materials and methods: Cross-sectional controlled, with patients undergoing implant Dohlman keratoprosthesis type I at the Hospital de Clinicas de Porto Alegre between September 2005 and May 2013. Two questionnaires of quality of life were administered in these patients SF-36 and VF-14. Furthermore, a retrospective patient charts analysis was performed. Results: Keratoprosthesis implant surgery was performed in 33 eyes of 26 patients. A statistically significant difference was found between groups (separated by visual acuity) for the questionnaire of visual acuity (p=0.01). In SF-36 domains, there were difference in general health (p=0.036), vitality (p=0.028) and mental health (p=0.037). On the Spearman correlation analysis, 5 of the 8 domains of the SF-36, correlated with visual questionnaire (VF-14), when analyzed for the entire sample. When we separated the analysis by subgroups (according to visual acuity), in the group of lowest visual acuity had only one domain correlation (mental health). In the group of best vision, the 5 domains remained with a positive association. Conclusion: Patients with greater visual acuity showed better results in the VF-14 responses, with a statistically significant difference between groups.
A unified approach to construct snarks with circular flow number 5

The well‐known 5‐flow Conjecture of Tutte, stated originally for integer flows, claims that every bridgeless graph has circular flow number at most 5. It is a classical result that the study of the 5‐flow Conjecture can be reduced to cubic graphs, in particular to snarks. However, very few procedures to construct snarks with circular flow number 5 are known. In the first part of this paper, we summarise some of these methods and we propose new ones based on variations of the known constructions. Afterwards, we prove that all such methods are nothing but particular instances of a more general construction that we introduce into detail. In the second part, we consider many instances of this general method and we determine when our method permits to obtain a snark with circular flow number 5. Finally, by a computer search, we determine all snarks having circular flow number 5 up to 36 vertices. It turns out that all such snarks of order at most 34 can be obtained by using our method, and that the same holds for 96 of the 98 snarks of order 36 with circular flow number 5.
Comparison of real and virtual rehabilitation using hand measurement device based on six-axis inertial sensors

In 2016, the number of patients with stroke is increasing in Japan. Stroke survivor's rate has doubled from 1960 to 2004 in Japan. Even though surviving from stroke, patients usually have paralyses or impairment. In recent years, new rehabilitation system with virtual reality system has been reported. It has a possibility to improve occupational therapist tasks. In the previous study, virtual reality rehabilitation system had an effect in Box and Block Test. However, a movement in virtual reality system rehabilitation was not measured quantitatively and it was not compared with real conventional rehabilitation. Rehabilitation with virtual reality system is also required to make patients same movement of conventional rehabilitation. By comparing virtual reality test motion with conventional test motion, VR device experiment has larger 30 degrees in average bending angles than imitation device performing and we examine usefulness of rehabilitation with virtual reality. This study focuses on bending motion of the middle fingers when grasping a box. To compare them, a measurement system which can measure the grasping angle was developed based on six-axis inertial sensors. Consequently, difference between two tests was observed in bending motion. We consider it is relating with physical feedback.