Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of LXI Bus Interface for High-Frequency Ground Wave Radar Based on ARM

According to the requirements of modularization and standardization, a general LXI bus interface based on ARM is presented in this paper and can be employed for HF ground wave radar (HF GWR). The design takes AT91RM9200, DM9161, IDT7027L20PF as basic hardware, Linux as operating system, and considers about the working environment of multi-users and multi-processes. The reliability of system can be extremely kept by kernel synchronization mechanisms in driver. This LXI bus interface, which meets the requirements of HF WGR, adopts full-duplex mode and bidirectional interrupts to exchange a large amount of data in packets with host computer. And this paper discusses in detail the protocol of data transmission and the effective method to measure the whole system. The measurement results show that this LXI bus module can keep efficient and steady, and the average data transfer speed is about 45 Mb/s. The whole design meets the need of HF GWR real-time measurement.
A novel approach to diagnose diabetes based on the fractal characteristics of retinal images

A novel diagnostic scheme to develop quantitative indexes of diabetes is introduced in this paper. The fractal dimension of the vascular distribution is estimated because we discovered that the fractal dimension of a severe diabetic patient's retinal vascular distribution appears greater than that of a normal human's. The issue of how to yield an accurate fractal dimension is to use high-quality images. To achieve a better image-processing result, an appropriate image-processing algorithm is adopted in this paper. Another important fractal feature introduced in this paper is the measure of lacunarity, which describes the characteristics of fractals that have the same fractal dimension but different appearances. For those vascular distributions in the same fractal dimension, further classification can be made using the degree of lacunarity. In addition to the image-processing technique, the resolution of original image is also discussed here. In this paper, the influence of the image resolution upon the fractal dimension is explored. We found that a low-resolution image cannot yield an accurate fractal dimension. Therefore, an approach for examining the lower bound of image resolution is also proposed in this paper. As for the classification of diagnosis results, four different approaches are compared to achieve higher accuracy. In this study, the fractal dimension and the measure of lacunarity have shown their significance in the classification of diabetes and are adequate for use as quantitative indexes.
A MOBILE APPLICATION FOR ANXIETY DISORDER TEST USING HRV

Stress are one of the most common issue that are facing by most of the people especially students and also employees. Strong competitive in between human beings are getting more and more significant right now, as number of human beings are increasing every day, while there are limited resources for those who are capable to participate in these intense competition. For anxiety disorder, it is a condition where the patient will be experience this kind of issue where they are persistent and also excessive worry. Anxiety disorders can take in many forms, like fear, stress, panic and etc. But anxiety disorders are treatable and there are number of effective treatments that are already in the medication field. This treatments had already proven that it can resolve the anxiety disorders issue of a patient. The main purpose of this project is to help whoever that need the instant solution to detect and also resolve their anxiety disorder issue like stress at the shortest time, cheapest cost and also convenient for them. This will benefit the user a lot without costing them much. The implementation of this project are using the camera and also the flashlight around the camera to detect the user’s pulse, then determine the HRV from user’s pulse and show their stress level. Moreover, user stress data will also be send back to the server automatically for future reference, and this is to improve the accuracy of the stress data for future development.
Bandwidth efficient data-partitioned video streaming for broadband wireless

The proposed scheme in this paper combines adaptive channel coding with additional duplicate packets. Adaptive channel coding takes place by: varying the amount of redundancy according to channel conditions; and by retransmission of extra redundant data to reconstruct corrupted packets. In video streaming, greater bandwidth efficiency occurs by transmitting the same video quality at a reduced bitrate. This paper shows that the proposed protection scheme for data-partitioned video achieves that objective when streaming over an IEEE 802.16e (mobile WiMAX) channel.
Multi-View and Multi-Objective Semi-Supervised Learning for HMM-Based Automatic Speech Recognition

Current hidden Markov acoustic modeling for large-vocabulary continuous speech recognition (LVCSR) heavily relies on the availability of abundant labeled transcriptions. Given that speech labeling is both expensive and time-consuming while there is a huge amount of unlabeled data easily available nowadays, the semi-supervised learning (SSL) from both labeled and unlabeled data aiming to reduce the development cost for LVCSR becomes more important than ever. In this paper, a new SSL approach is proposed which exploits the cross-view transfer learning for LVCSR through a committee machine consisting of multiple views learned from different acoustic features and randomized decision trees. In addition, a multi-objective learning scheme is developed in each view by maximizing a hybrid information-theoretic criterion which is established by the relative entropy between labeled data and their labels and the entropy of unlabeled data. The multi-objective scheme is then generalized to a unified SSL framework which can be interpreted into a variety of learning strategies under different weighting schemes. Experiments conducted on English Broadcast News using 50 hours of transcribed speech with 50 hours and 150 hours of untranscribed speech show the benefits of proposed approaches.
Combinatorics of boundaries in string theory.

We investigate the possibility that stringy nonperturbative effects appear as holes in the world sheet. We focus on the case of Dirichlet string theory, which we argue should be formulated rather differently than in previous work, and we find that the effects of boundaries are naturally weighted by [ital e][sup [minus][ital O](1/[ital g][sub st])].
Mcl-1 dynamics influence mitotic slippage and death in mitosis

Microtubule-binding drugs such as taxol are frontline treatments for a variety of cancers but exactly how they yield patient benefit is unclear. In cell culture, inhibiting microtubule dynamics prevents spindle assembly, leading to mitotic arrest followed by either apoptosis in mitosis or slippage, whereby a cell returns to interphase without dividing. Myeloid cell leukaemia-1 (Mcl-1), a pro-survival member of the Bcl-2 family central to the intrinsic apoptosis pathway, is degraded during a prolonged mitotic arrest and may therefore act as a mitotic death timer. Consistently, we show that blocking proteasome-mediated degradation inhibits taxol-induced mitotic apoptosis in a Mcl-1-dependent manner. However, this degradation does not require the activity of either APC/C-Cdc20, FBW7 or MULE, three separate E3 ubiquitin ligases implicated in targeting Mcl-1 for degradation. This therefore challenges the notion that Mcl-1 undergoes regulated degradation during mitosis. We also show that Mcl-1 is continuously synthesized during mitosis and that blocking protein synthesis accelerates taxol induced death-in-mitosis. Modulating Mcl-1 levels also influences slippage; overexpressing Mcl-1 extends the time from mitotic entry to mitotic exit in the presence of taxol, while inhibiting Mcl-1 accelerates it. We suggest that Mcl-1 competes with Cyclin B1 for binding to components of the proteolysis machinery, thereby slowing down the slow degradation of Cyclin B1 responsible for slippage. Thus, modulating Mcl-1 dynamics influences both death-in-mitosis and slippage. However, because mitotic degradation of Mcl-1 appears not to be under the control of an E3 ligase, we suggest that the notion of network crosstalk is used with caution.
On the homology of the space of knots

Consider the space of long knots in R , Kn;1 . This is the space of knots as studied by V Vassiliev. Based on previous work (Budney [7], Cohen, Lada and May [12]), it follows that the rational homology of K3;1 is free Gerstenhaber–Poisson algebra. A partial description of a basis is given here. In addition, the mod–p homology of this space is a free, restricted Gerstenhaber–Poisson algebra. Recursive application of this theorem allows us to deduce that there is p–torsion of all orders in the integral homology of K3;1 . This leads to some natural questions about the homotopy type of the space of long knots in R for n> 3 , as well as consequences for the space of smooth embeddings of S in S and embeddings of S in R .
TOPIC 1 : Chemistry of Water Entering Drifts

(c) The locations for all 125 pore-water compositions available for the TSw (SNL, 2007, Section 6.6). Provide the locations in XYZ space in an electronic format that can be displayed in the DOE Geologic Framework Model. In addition, identify the 90 pore-water compositions that were considered in the screening process (described in SAR Section 2.3.5.3.2.2.1) and the 34 complete compositional analyses of pore waters that were considered in the selection of four initial pore-water inputs to the near-field chemistry model.
Application-aware Routing Scheme for SDN-based cloud datacenters

In this paper, we propose an Application-aware Routing Scheme (App-RS) to meet network requirements of all classes of applications in SDN-based cloud datacenters. The proposed App-RS takes into account end-to-end delay and link load for real time applications (class 1), delay variation and link load for streaming applications (class 2), and link load for miscellaneous applications (class 3) to improve the performance of all classes of applications. Using Estinet, simulation results have shown that the average bandwidth ratio of class 1, class 2, and class 3 applications of the proposed App-RS are 9.86%, 4.53%, and 4.07% better than that of CORouting, respectively. The average end-to-end delay of class 1 applications of App-RS is 25.47% lower than that of CORouting. The average delay variation of class 2 applications of App-RS is 49.65% lower than that of CORouting. Therefore, the proposed App-RS can better meet the network requirements of all classes of applications in SDN-based cloud datacenters than CORouting.
SDRS—an algorithm for analyzing large-scale dose–response data

Summary: Dose–response information is critical to understanding drug effects, yet analytical methods for dose–response assays cannot cope with the dimensionality of large-scale screening data such as the microarray profiling data. To overcome this limitation, we developed and implemented the Sigmoidal Dose Response Search (SDRS) algorithm, a grid search-based method designed to handle large-scale dose–response data. This method not only calculates the pharmacological parameters for every assay, but also provides built-in statistic that enables downstream systematic analyses, such as characterizing dose response at the transcriptome level. Availability: Bio::SDRS is freely available from CPAN (www.cpan.org). Contacts: ruiruji@gmail.com; bruc@acm.org Supplementary Information: Supplementary data is available at Bioinformatics online.
The Nuclear DNA Content and Genetic Diversity of Lampetra morii

We investigated the nuclear DNA content and genetic diversity of a river lamprey, the Korean lamprey Lampetra morii, which is distributed in the northeast of China. L. morii spends its whole life cycle in fresh water, and its adult size is relatively small (~160 mm long) compared with that of other lampreys. The haploid nuclear DNA content of L. morii is 1.618 pg (approximately 1.582 Gb) in germline cells, and there is ~15% germline DNA loss in somatic cells. These values are significantly smaller than those of Petromyzon marinus, a lamprey with a published draft genome. The chromosomes of L. morii are small and acrocentric, with a diploid modal number of 2n = 132, lower than some other lampreys. Sequence and AFLP analyses suggest that the allelic polymorphism rate (~0.14% based on examined nuclear and mitochondrial DNA sequences) of L. morii is much lower than that (~2%) of P. marinus. Phylogenetic analysis based on a mitochondrial DNA fragment confirms that L. morii belongs to the genus Lampetra, which, together with the genus Lethenteron, forms a sister group to P. marinus. These genetic background data are valuable for subsequent genetic and genomic research on L. morii.
A User-guided Association Rules Mining Method and Its Application

Association rules method is important in mining large sets of data, but there are often many meaningless rules discovered, which affects the algorithm's efficiency, moreover, the presentation of rules is not easy for users to understand. User guide often works during association rules mining procedure. This paper presents a user-guided association rules mining method, considering users' differential emphasis on each item through fuzzy regions. This is more realistic and practical than prior association rules methods. Moreover, the discovered rules are expressed in natural language that is more understandable to humans. The paper finally uses the proposed method to analyze data sets of appliance loan, the performance of the proposed approach is demonstrated
Applying Scrum in an Interdisciplinary Project Using Big Data, Internet of Things, and Credit Cards

This paper describes the use of Scrum in a collaborative software project. It applies agile software development, big data, and internet of things to reduce frauds within credit card operations. It reports the experience of students from three different courses taking the graduate program in Electronics and Computer Engineering at the Brazilian Aeronautics Institute of Technology (Instituto Tecnologico de Aeronautica - ITA) during the first semester of 2014. The major contribution of this work is the application of Interdisciplinary Problem Based Learning, where students have worked asynchronously and geographically dispersed to deliver valuable increments, aiming to solve related problems. This work was performed during four project sprints on seventeen weeks. The main output was working software, developed and tested using Scrum and its best practices. At the end, a big data environment was used as a transparent way of fulfilling the needs of financial transaction analysts.
Virus Evolution Reveals an Exclusive Role for LEDGF/p75 in Chromosomal Tethering of HIV

Retroviruses by definition insert their viral genome into the host cell chromosome. Although the key player of retroviral integration is viral integrase, a role for cellular cofactors has been proposed. Lentiviral integrases use the cellular protein LEDGF/p75 to tether the preintegration complex to the chromosome, although the existence of alternative host proteins substituting for the function of LEDGF/p75 in integration has been proposed. Truncation mutants of LEDGF/p75 lacking the chromosome attachment site strongly inhibit HIV replication by competition for the interaction with integrase. In an attempt to select HIV strains that can overcome the inhibition, we now have used T-cell lines that stably express a C-terminal fragment of LEDGF/p75. Despite resistance development, the affinity of integrase for LEDGF/p75 is reduced and replication kinetics in human primary T cells is impaired. Detection of the integrase mutations A128T and E170G at key positions in the LEDGF/p75–integrase interface provides in vivo evidence for previously reported crystallographic data. Moreover, the complementary inhibition by LEDGF/p75 knockdown and mutagenesis at the integrase–LEDGF/p75 interface points to the incapability of HIV to circumvent LEDGF/p75 function during proviral integration. Altogether, the data provide a striking example of the power of viral molecular evolution. The results underline the importance of the LEDGF/p75 HIV-1 interplay as target for innovative antiviral therapy. Moreover, the role of LEDGF/p75 in targeting integration will stimulate research on strategies to direct gene therapy vectors into safe landing sites.
Concept extraction for online shopping

Online shopping has been more and more popular nowadays. Online shopping starts with research and shopping research starts with search. In order to provide a more streamlined user experience in shopping related research, it is critical for e-commerce sites to accurately identify what a Web page is talking about. Concept extraction is a nice solution for this purpose. In this paper, we investigate two concept extraction methods: Automatic Concept Extractor (ACE) and Automatic Keyphrase Extraction (KEA). ACE is an unsupervised method that looks at both text and HTML tags. We upgrade ACE into Improved Concept Extractor (ICE) with significant improvements. KEA is a supervised learning system. It first builds a Naive Bayes model from training documents where concepts are manually assigned. The trained model is then used to automatically find concepts in new documents. In order to evaluate the two systems, we create a gold standard by manually assigning concepts to each page in the collection. We tune different parameters of ICE and KEA to generate concepts. And we use precision, recall and F1 to evaluate the concepts. The experimental results demonstrate that ICE significantly outperforms KEA in concept extraction for online shopping.
Intermnittent Model Predictive Control of an Autonomous Underwater Vehicle

The autonomous underwater vehicles (AUVs) have been developed over the last three decades for potential uses in scientific, commercial, environmental, and military purposes. The improvement of the computer technology has allowed the expansion of control algorithms into untethered AUVs motions. The paper applies the continuous time model predictive control algorithm designed using Laguerre functions to the dynamic motions of the vehicle. The nonlinear model of the AUVs is established in six degree of freedom and converts into a state space model. The continuous time model predictive control (MPC) algorithm, using Laguerre orthogonal functions, is extended to include intermittent features for manipulation of rudder and stern angle signals. The proposed approach allows the continuous time MPC to tolerate slower computational time and longer sampling interval
Synergy Between LiDAR and Image Data in Context of Building Extraction

This paper compares the paradigms of LiDAR and aerophotogrammetry in the context of building extraction and briefly discusses a photogrammetric strategy for refining building roof polyhedrons previously extracted from LiDAR data. In general, empirical and theoretical studies have confirmed that LiDAR-based methodologies are more suitable in extracting planar roof faces and ridges of the roof, whereas the aerophotogrammetry are more suitable in extracting building roof outlines. In order to exemplify how to explore these properties, it is presented a photogrammetric method for refining 3D building roof contours extracted from airborne LiDAR data. Examples of application are provided for this refining approach.
PPM1B and P-IKKβ expression levels correlated inversely with rat gastrocnemius atrophy after denervation

Activated inhibitor of nuclear factor-κB kinase β (IKKβ) is necessary and sufficient for denervated skeletal muscle atrophy. Although several studies have shown that Mg2+/Mn2+-dependent protein phosphatase 1B (PPM1B) inactivated IKKβ, few studies have investigated the role of PPM1B in denervated skeletal muscle. In this study, we aim to explore the expression and significance of PPM1B and phosphorylated IKKβ (P-IKKβ) during atrophy of the denervated gastrocnemius. Thirty young adult female Wistar rats were subjected to right sciatic nerve transection and were sacrificed at 0 (control), 2, 7, 14, and 28 days after denervation surgery. The gastrocnemius was removed from both the denervated and the contralateral limb. The muscle wet weight ratio was calculated as the ratio of the wet weight of the denervated gastrocnemius to that of the contralateral gastrocnemius. RT-PCR and Western blot analysis showed that mRNA and protein levels of PPM1B were significantly lower than those of the control group at different times after the initiation of denervation, while P-IKKβ showed the opposite trends. PPM1B protein expression persistently decreased while P-IKKβ expression persistently increased for 28 days after denervation. PPM1B expression correlated negatively with P-IKKβ expression by the Spearman test, whereas decreasing PPM1B expression correlated positively with the muscle wet weight ratio. The expression levels of PPM1B and P-IKKβ were closely associated with atrophy in skeletal denervated muscle. These results suggest that PPM1B and P-IKKβ could be markers in skeletal muscle atrophy.
Context-based conversational hand gesture classification in narrative interaction

Communicative hand gestures play important roles in face-to-face conversations. These gestures are arbitrarily used depending on an individual; even when two speakers narrate the same story, they do not always use the same hand gesture (movement, position, and motion trajectory) to describe the same scene. In this paper, we propose a framework for the classification of communicative gestures in small group interactions. We focus on how many times the hands are held in a gesture and how long a speaker continues a hand stroke, instead of observing hand positions and hand motion trajectories. In addition, to model communicative gesture patterns, we use nonverbal features of participants addressed from participant gestures. In this research, we extract features of gesture phases defined by Kendon (2004) and co-occurring nonverbal patterns with gestures, i.e., utterance, head gesture, and head direction of each participant, by using pattern recognition techniques. In the experiments, we collect eight group narrative interaction datasets to evaluate the classification performance. The experimental results show that gesture phase features and nonverbal features of other participants improves the performance to discriminate communicative gestures that are used in narrative speeches and other gestures from 4% to 16%.
Bridging the Gap : Model Based Verification 2 . Coverage driven test specification

We claim that the verification crisis may be solved by bridging the gap between formal verification and simulation. This paper presents a study of a functional verification methodology using the coverage of formal models to specify tests. This methodology was applied to a modern superscalar microprocessor and the resulting tests were compared to tests generated using existing methods. The results show that hybrid techniques can indeed improve functional verification.