Miracle-dz/UniFAR-FTUs huggingface dataset:
USING CLOUD-TO-GROUND LIGHTNING DATA TO IDENTIFY TORNADIC THUNDERSTORM SIGNATURES AND NOWCAST SEVERE WEATHER Major

Datafrom 264 tornadic thunderstorms east of the Continental Divide were studied during the Spring 1991 severe weather season. These storms were categorized according to the dominant polarity of their cloud-to-ground (CG) lightning as detected by the National Lightning Detection Network. Positive Strike Dominated (PSD) storms were found to occur mainly west of the Mississippi River. Negative Strike Dominated (NSD) storms, however, were found to occur without regional bias across the Atlantic and Gulf coastal regions and the Plains. Tim~. serie~ comparisons of five-minute flash rate and percent pOSitIVe strike trends were accomplishedfor each tornado from 65 minutes prior to ten minutes after tornado touchdown. PSD ce.lls displayed ~ w~ll-defined peak-lull-peak flash rate pulsing, with the most sIgnificant amplitudes occurring during the 20 minute period prior to tornado report time. Flash polarity tended to shift toward negative CG strikes at the time of initial ~ornado report. Both the flash rate pulsing and polarity shift 111 PSD tornadoes corroborate published case studies of similar storms. NSD tornadic storms displayed similar flash rate pulsing with lower amplitudes than PSD cells. Also, the NSD storms showed an increase in positive flash polarity immediately after tornado occurrence. Results from the time-series analysis of flash rates and percent positive CG strikesfor the tornadic storms prompted investigations of ways to use the lightning data as a severe weather forecasting tool. A new technique for nowcasting these dangerous storms was developed and tested using lightning data and the Military Weather Advisory (MWA), a synoptic scale severe weather forecast chart produced four times each day by forecasters at Air Force Global Weather Central (A FGWC). This PSDIMWA technique relies on identification of PSD cells and whether or not they are within a severe weather area on the current MWA. Verification statistics were compiled for five geographic regions east of the Continental Divide. Lightning data and severe weather reports from 556 PSD cells were compiled during portions of 1991 and 1992. Though geographic variations in the statistics were noted, technique peiformance in all regions was excellent. Overall statistics show a Probability of Detection of 91%, a False Alarm Ratio of 34%, and a True Skill Statistic of . 60. This technique takes some of the uncertainty out of determining whether or not PSD cells will be severe weather producers.
UvA-DARE ( Digital Academic Repository ) Basic mechanisms of DBS for Parkinson ’ s disease : computational and experimental studies on neural dynamics

Micro electrode recording (MER) along surgical trajectories is commonly applied for refinement of the target location during Deep Brain Stimulation (DBS) surgery. In this study, we utilize automatically detected MER features in order to locate the subthalamic nucleus (STN) employing an unsupervised algorithm. The automated algorithm makes use of background noise level, compound firing rate and power spectral density along the trajectory and applies a threshold based method to detect the dorsal and the ventral borders of the STN. Depending on the combination of measures used for detection of the borders, the algorithm allocates confidence levels for the annotation made (i.e. high, medium and low). The algorithm has been applied to 258 trajectories obtained from 84 STN DBS implantations. MERs used in this study have not been pre-selected or pre-processed and include all the viable measurements made. Out of 258 trajectories, 239 trajectories were annotated by the surgical team as containing the STN versus 238 trajectories by the automated algorithm. The agreement level between the automatic annotations and the surgical annotations is 88%. Taking the surgical annotations as the golden standard, across all trajectories, the algorithm made true positive annotations in 231 trajectories, true negative annotations in 12 trajectories, false positive annotations in 7 trajectories and false negative annotations in 8 trajectories. We conclude that our algorithm is accurate and reliable in automatically identifying the STN and locating the dorsal and ventral borders of the nucleus; and in a near future could be implemented for on-line intraoperative use.
EFFECT OF IN OVO SUPPLEMENTATION OF HONEY IN FERTILE EGGS ON POST HATCH GROWTH PERFORMANCE OF BROILER CHICKENS

The present study was designed to evaluate the effects of in ovo supplementation of honey in fertile eggs on the post hatch growth performance of broiler chickens. In this regard, 120 fertile eggs were divided into 3 treatments and a control group. In ovo (20%) supplementation of honey at 0.5ml/egg was inoculated into yolk sac in each treatment group on day 15, 16 and 17 of incubation and the observations were made immediately after hatch, at the end of the brooding period and at the time of harvesting. The birds were observed for hatchability percentage and growth performance parameters. Our results showed no significant difference in the hatchability percentage (84 for non-injected control, 84, 90, 94% for honey injected on day 15,16 and 17 respectively) and hatchling weight (43.9,44.5,43.8 and 44.56g) among different groups. Similarly, heart weight (0.372, 0.362, 0.364 and 0.416g), intestinal weight (2, 2, 1.89 and 1.76g) and yolk weight (4.2,4.5, and 5.0g) were also non-significant among the groups. However, liver weight (1.31,1.34,1.06 and 1.13g; P< 0.0002) was significantly different among the different groups in day old chick. Day old chicken intestinal villi length (88.7, 83, 93 and 104 μm; P<0.0000) showed marked difference among the groups. Moreover, treated groups at the end of the 14th day, also demonstrated no significant difference in the body weight, carcass weight and liver weight, however, intestinal villi length (392, 414, 429 and 469 (μm); P<0.0000) was significantly different among the groups. But at marketing stage, significant difference was observed among treated and control groups, in the average weight gain (1761g, 1735g, 1918g, and 1939g; P<0.0014), carcass weight (928, 890, 1010, and 1023g; P<0.0033) and gizzard weight (49.9, 46.5, 54.6, and 55g; P< 0.0007). The feed efficiency values were significantly better in the honey inoculated groups than the non-treated group. It is concluded that in ovo supplementation of honey in fertile eggs can increase the size of visceral organs and improve post hatch growth performance of broiler chicks. Keys word: In ovo, honey, broiler, embryo, growth.
Biomechanical assessment of reaching movements in post-stroke patients during a robot-aided rehabilitation

The main goal of this paper is to describe a method for the assessment of the motor performance in post-stroke subjects who have been undergone a robot-aided upper limb rehabilitation treatment. The motivation for adopting such methodology relies on the need of quantitative methods for the evaluation of the effects of robot-aided rehabilitation treatments, which assumes great importance from the clinical point of view. The method is based on the analysis of biomechanical parameters computed from force data recorded during the execution of planar reaching movements. Data from 17 chronic post-stroke patients and 5 healthy subjects were analysed. The results show the effectiveness of the proposed method, which can contribute to quantitatively evaluate the effects of a robot-mediated therapy on the upper limb of chronic post-stroke subjects.
Evaluation of performance in Cloud Computing with Queue Theory

With information technology progression there is the need to perform computing tasks everywhere and all the time. It is also required that people be able to do their heavy computing tasks without having expensive hardware and software to perform the service. Cloud computing was the last answer of technology to these needs. Cloud computing is a model to provide easy access based on user demands to changeable and configured computing resources through the network (e.g., networks, servers, storage, applications and services) that the access could be provided or be released quickly with minimal need to manage resources or the need for the service provider’s direct intervention. Cloud computing can be known as a new context to provide computing infrastructure, with the goal to transfer computational infrastructure to a network So that hardware resources and software maintenance costs reduced. Cloud computing systems are capable of providing access to a large pool of resources. Resources which are provided in cloud computing systems, a large size of services are hidden from the user by visualization. In this paper, we investigate the cloud service data center in form of row system with a buffer and an input buffer task which is virtually unlimited capacity.
Klejch Development of a cloud platform for automatic speech recognition

This thesis presents a cloud platform for automatic speech recognition, CloudASR, built on top of Kaldi speech recognition toolkit. The platform supports both batch and online speech recognition mode and it has an annotation interface for transcription of the submitted recordings. The key features of the platform are scalability, customizability and easy deployment. Benchmarks of the platform show that the platform achieves comparable performance with Google Speech API in terms of latency and it can achieve better accuracy on limited domains. Furthermore, the benchmarks show that the platform is able to handle more than 1000 parallel requests given enough computational resources.
1 Toxicity of Particles : A Brief History

Over the last few decades, a certain number of pathologies have been directly linked to various kinds of inorganic dust affecting subjects exposed to these substances in the workplace. As a consequence, public health authorities have become increasingly interested in determining the effects particles can have on health. But analytical investigations of pollution, along with other evidence, has shown that exposure to dusts is not limited to workers in specific sectors. In fact, it may also affect the population at large, a finding that has led to the setting up of think tanks, closer assessment of different types of pollution, and research specifically devoted to the toxicology of dusts. Note also that the terminology itself has evolved. In particular, the word ‘dust’ has gradually been replaced by ‘particulate matter’, although both terms refer to the solid fraction in aerosols. The aim of the present chapter is to summarise the context and the facts that have led to the area of investigation we now call particulate toxicology. We begin with the sociological and technical features that have made the study of toxicity what it is today. For chronological reasons, we then define the pathologies caused by exposure to inorganic dusts, before going on to describe the particles responsible for pathogenic effects. To explain the mechanisms by which particles can act, we discuss methods for investigating toxicity and the ways they have evolved. On this basis, hypotheses are formulated about the mechanisms leading to observed biological effects. Before concluding, we shall consider the results of toxicological studies carried out up to now to assess the toxicity of particles occurring in professional and general environments, or likely to be generated in such environments, but also some questions which have not yet been answered, or which have arisen from earlier experiments.
The Stata Journal

This paper describes how to use the command hapipf and introduces the command profhap written for Stata that analyzes population-based genetic data. For these studies, association can be linkage disequilibrium within a set of loci or allelic/haplotype association with disease status. Confidence intervals for odds ratios are calculated with or without adjustment for possible factors that are confounding the relationship. Additionally, this command allows the specification of many models of association that are not widely implemented.
Degenerate Four-Wave Mixing Between Three Optical Waves , Propagating in Isotropic Nonlinear Medium

In the present work it is investigated the process of degenerate four-wave mixing between three optical waves, described by a system of nonlinear differential equations whose solutions are in the form of Jacobi’s elliptic functions. The main idea of this paper is to investigate the influence of various parameters, participating in the analytical solutions, on the evolution of the three optical waves. Numerical calculations are made. They represent graphically the changes in the waves’ intensities and the periodical energy exchange between them. Particular attention has been paid to the dependence of the energy exchange on the initial phase mismatch between the three waves.
Fully 3-D Printed Tunable Microwave Subsystem

This paper introduces the first fully 3-D printed tunable microwave subsystem, consisting of 26 circuit elements. Here, a polymer-based 3-D printed Ku-band 4-element steerable phased-array antenna with fully integrated beam forming network is demonstrated. The measured radiation pattern revealed that the phased-array antenna subsystem has a total beam steering angle of 54°. This work clearly shows the potential of using 3-D printing technologies for manufacturing fully integrated subsystems with complex geometric features.
Sequence analysis SiNVICT : ultrasensitive detection of single nucleotide variants and indels in circulating tumour DNA

Motivation: Successful development and application of precision oncology approaches require robust elucidation of the genomic landscape of a patient’s cancer and, ideally, the ability to monitor therapy-induced genomic changes in the tumour in an inexpensive and minimally invasive manner. Thanks to recent advances in sequencing technologies, ‘liquid biopsy’, the sampling of patient’s bodily fluids such as blood and urine, is considered as one of the most promising approaches to achieve this goal. In many cancer patients, and especially those with advanced metastatic disease, deep sequencing of circulating cell free DNA (cfDNA) obtained from patient’s blood yields a mixture of reads originating from the normal DNA and from multiple tumour subclones—called circulating tumour DNA or ctDNA. The ctDNA/cfDNA ratio as well as the proportion of ctDNA originating from specific tumour subclones depend on multiple factors, making comprehensive detection of mutations difficult, especially at early stages of cancer. Furthermore, sensitive and accurate detection of single nucleotide variants (SNVs) and indels from cfDNA is constrained by several factors such as the sequencing errors and PCR artifacts, and mapping errors related to repeat regions within the genome. In this article, we introduce SiNVICT, a computational method that increases the sensitivity and specificity of SNV and indel detection at very low variant allele frequencies. SiNVICT has the capability to handle multiple sequencing platforms with different error properties; it minimizes false positives resulting from mapping errors and other technology specific artifacts including strand bias and low base quality at read ends. SiNVICT also has the capability to perform time-series analysis, where samples from a patient sequenced at multiple time points are jointly examined to report locations of interest where there is a possibility that certain clones were wiped out by some treatment while some subclones gained selective advantage. Results: We tested SiNVICT on simulated data as well as prostate cancer cell lines and cfDNA obtained from castration-resistant prostate cancer patients. On both simulated and biological data, SiNVICT was able to detect SNVs and indels with variant allele percentages as low as 0.5%. The VC The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com 26 Bioinformatics, 33(1), 2017, 26–34 doi: 10.1093/bioinformatics/btw536
CCN-Based Vehicle-to-Vehicle Communication in DSRC for Content Distribution in Urban Environments

Dedicated Short Range Communication (DSRC) is currently standardized as a leading technology for the implementation of Vehicular Networks. Non-safety application in DSRC is emerging beyond the initial safety application. However, it suffers from a typical issue of low data delivery ratio in urban environments, where static and moving obstacles block or attenuate the radio propagation, as well as other technical issues such as temporal-spatial restriction, capital cost for infrastructure deployments and limited radio coverage range. On the other hand, ContentCentric Networking (CCN) advocates ubiquitous in-network caching to enhance content distribution. The major characteristics of CCN are compatible with the requirements of vehicular networks so that CCN could be available by vehicular networks. In this paper, we propose a CCN-based vehicle-to-vehicle (V2V) communication scheme on the top of DSRC standard for content dissemination, while demonstrate its feasibility by analyzing the frame format of Beacon and WAVE service advertisement (WSA) messages of DSRC specifications. The simulation-based validations derived from our software platform with OMNeT++, Veins and SUMO in realistic traffic environments are supplied to evaluate the proposed scheme. We expect our research could provide references for future more substantial revision of DSRC standardization for CCN-based V2V communication. key words: vehicular networks, non-safety application, dedicated short range communication (DSRC), content-centric network (CCN), in-network caching
URLLC Service for LTE Radio Access Networks

Recently, ultra-reliable and low-latency communications (URLLC) service has been proposed for 5G networks. URLLC service requires hard guarantees for reliability and latency, the two main key performance indicators (KPIs) for networks. For radio access networks (RANs), the major challenge for the service provider, i.e., the base station, is to meet those stringent QoS requirements for the user with the worst wireless channel quality. In this paper, we explore if the current existing LTE network, i.e., hardware and PHY layer protocols, can support the QoS requirements of URLLC services.
Research on the Frequency Domain Equalization of Single Carrier system applied in HF communication

The application of frequency domain equalization technique makes single carrier modulation a valuable alternative resisting the ISI caused by the multipath channel in the broadband HF communication. This paper does a research on the principle and characteristics of Single Carrier systems with Frequency Domain Equalization (SCFDE), and gives the performance of SC-FDE based on different equalization schemes under multipath channel. Keywords-HF channel; ISI; Single carrier; FDE; BER
12 The Status of Human Trials Utilizing Bowman-Birk Inhibitor Concentrate from Soybeans

The soybean-derived protease inhibitor known as the Bowman‐Birk inhibitor (BBI) has many preventive and therapeutic effects for various diseases and adverse conditions that have led to its use in several human trials. This chapter reviews the status of BBI use in human trials. BBI, in the form of a soybean extract enriched in BBI and known as BBI concentrate (BBIC), achieved investigational new drug (IND) status with the Food and Drug Administration (FDA) in 1992, and human trials began at that time. There are currently six INDs involving BBIC trials in patients with oral leukoplakia, benign prostatic hyperplasia, prostate cancer, esophagitis/lung cancer, ulcerative colitis (UC), and gingivitis. A new prostate cancer prevention program utilizing BBIC has recently begun, and new trial areas utilizing BBIC in patients with multiple sclerosis, muscular dystrophy, and muscle atrophy from bed rest resulting from spinal cord injuries are expected to begin in the near future.
Control of a nurse robot using voice commands and associative memories

NR-Alpha is a prototype of a surgical instrument server nurse robot. NR-Alpha is designed to provide to the surgeon the demanded surgery instruments. NR-Alpha perceives the surgeon’s voice, recognizes the name of the instrument demanded and starts to look for the demanded instrument on the working area; once localized the instrument, NR-Alpha grapes it and finally reaches the hand of the surgeon to give him the demanded instrument. NR-Alpha is composed by three main modules: Artificial Vision Module (AVM), Voice Recognition Module (VRM) and Control Module (CM). In this paper, we describe how the VRM module could be implemented. To recognize the name of the instrument pronounced by the surgeon, VRM uses a dynamic associative memory (DAM). This DAM stores associations between a voice signals that encode the name of a surgery instrument and images of the corresponding instrument. Once the associative memory is trained, we would expect that when the surgeon pronounces, for example, “Forceps” the associative memory would recall the image of a forceps. Subsequently, the image recalled by the DAM could be used to localize the instrument. In order to test the accuracy of the proposal, we firstly train the DAM with associations of the instrument we would like the DAM learned. We then use a benchmark composed by 1800 voice signals to test the performance of the proposal.
Achilles Tendon Rupture : Operative Versus Nonoperative Treatment

Achilles tendon ruptures (ATR) occur frequently in both recreational and elite athlete populations. In recreational athletes, ruptures occur more commonly in men who are in the third and fourth decades of life, and who participate infrequently in sporting events. These patients are sometimes given the designation “weekend warriors” (1). Recent studies demonstrate an increase in the incidence of ATR since the 1950s, with an increase in individuals participating in sporting activities (2). The proper management of ATR is heavily debated. There is a trend for nonoperative management due to studies demonstrating no differences in strength outcomes between operative and nonoperative treatment (3). Operative management can result in secondary complications including infection, dehiscence and wound healing issues. Nonoperative management, however, is associated with higher re-rupture rates in some studies (4). Recently, operative management has been favorable toward percutaneous repair to prevent the complications that exist with open repair. Beyond operative and nonoperative management, the literature has been focusing on formulating an aggressive rehabilitation program and earlier weightbearing. Studies are demonstrating that regardless of operative or nonoperative management, the postoperative protocol signifi cantly affects the outcome.
Title Discovery of long-range inhibitory signaling to ensure singleaxon formation

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