Miracle-dz/UniFAR-FTUs huggingface dataset:
INDUCTION MOTOR MULTI-FAULT ANALYSIS BASED ON INTRINSIC MODE FUNCTIONS IN HILBERT-HUANG TRANSFORM

This paper reports experimental studies to detect two faults in a 3-phase 1.5hp induction motor using intrinsic mode functions from Hilbert-Huang transform. The faults studied are the eccentricity of the air-gap between the rotor and stator and damage to the outer race of bearings. The experiments are conducted under four conditions: the normal no-fault condition, two single fault conditions and the multiple faults condition. Two microphones, one vibration sensor and one current sensor are used to collect sound, vibration and current data respectively. The data is analyzed using the Hilbert-Huang transform and Fast Fourier Transform. Features are extracted from the spectrum of intrinsic mode functions and the average value of their envelope. Three simple classifiers are used to classify these four experimental conditions. The results demonstrate that the multiple sensors do improve the classification rate and that the Intrinsic Mode Functions obtained by the Hilbert-Huang transform are more effective than FFT in classifying multiple faults.
SmarterPhones: Anticipatory download scheduling for wireless video streaming

Video streaming is in high demand by mobile users. In cellular networks, however, the unreliable wireless channel leads to two major problems. Poor channel states degrade video quality and interrupt the playback when a user cannot sufficiently fill its local playout buffer: buffer underruns occur. In contrast, good channel conditions cause common greedy buffering schemes to buffer too much data. Such over-buffering wastes expensive wireless channel capacity. Assuming that we can anticipate future data rates, we plan the quality and download time of video segments ahead. This anticipatory download scheduling avoids buffer underruns by downloading a large number of segments before a drop in available data rate occurs, without wasting wireless capacity by excessive buffering. We developed a practical anticipatory scheduling algorithm for segmented video streaming protocols (e.g., HLS or MPEG DASH). Simulation results and testbed measurements show that our solution essentially eliminates playback interruptions without significantly decreasing video quality.
Comparative Analysis of Several Incremental Conductance MPPT Techniques for Photovoltaic System

The maximum power point tracking (MPPT) technique is used in photovoltaic systems to extract the maximum power. The most popular MPPT technique is the incremental conductance because it is less complicated and has a good tracking accuracy. This work is an attempt to study and discuss four types of the incremental conductance method, namely: Incremental Conductance with fixed step size (FS_IC), Incremental Conductance with variable step size (VS_IC), Incremental Conductance with first proposition of modified variable step size (MVS1_IC) and Incremental Conductance with second proposition of modified variable step size (MVS2_IC), these four techniques are simulated by Psim software. Results show the good tracking efficiency of the MVS1_IC and MVS2_IC techniques compared to FS_IC and VS_IC, also the MVS2_IC MPPT algorithm is the most efficient and presented less energy loss. Keywords— Incremental Conductance, MPPT, Photovoltaic (PV),
REAL-TIME EXCITATION BASED BINAURAL LOUDNESS

The measurement of perceived loudness is a difficult yet important task with a multitude of applications such as loudness alignment of complex stimuli and loudness restoration for the hearing impaired. Although computational hearing models exist, few are able to accurately predict the binaural loudness of everyday sounds. Such models demand excessive processing power making real-time loudness metering problematic. In this work, the dynamic auditory loudness models of Glasberg and Moore (J. Audio Eng. Soc., 2002) and Chen and Hu (IEEE ICASSP, 2012) are presented, extended and realised as binaural loudness meters. The performance bottlenecks are identified and alleviated by reducing the complexity of the excitation transformation stages. The effects of three parameters (hop size, spectral compression and filter spacing) on model predictions are analysed and discussed within the context of features used by scientists and engineers to quantify and monitor the perceived loudness of music and speech. Parameter values are presented and perceptual implications are described.
Recursive Array Comprehensions in a Call-by-Value Language

Recursive value definitions in the context of functional programming languages that are based on a call-by-value semantics are known to be challenging. A lot of prior work exists in the context of languages such as Scheme and OCaml. In this paper, we look at the problem of recursive array definitions within a call-by-value setting. We propose a solution that enables recursive array definitions as long as there are no cyclic dependences between array elements. The paper provides a formal semantics definition, sketches possible compiler implementations and relates to a prototypical implementation of an interpreter in OCaml. Furthermore, we briefly discuss how this approach could be extended to other data structures and how it could serve as a basis to further extend mutually recursive value definitions in a call-by-value setting in general.
Impacts of SNS Volume Spikes on Stock Prices: Create Demand or Boycott Campaign

Stock price prediction has become an important research theme in text mining application fields. Many models of sentiment analyses for the prediction have been published. If they found SNS volume spikes on companies or products, many stock investors might quickly sell the stocks even if they cannot predict whether the stock price direction is an increase or a decrease. In the paper, we shall propose a detection model for the clear-cut correlation between a SNS spike and stock price movement. If we find a SNS spike, firstly, topic extraction is conducted on the SNS text data to remove the noise data to extract a purely breaking topic. Then, from the breaking topic distribution, we make the differential equation. Finally, we determine whether the solution data matches the actual stock price data.
Bond swapping from a charge cloud allows flexible coordination of upstream signals through WASP: Multiple regulatory roles for the WASP basic region

Wiskott–Aldrich syndrome protein (WASP) activates the actin-related protein 2/3 homolog (Arp2/3) complex and regulates actin polymerization in a physiological setting. Cell division cycle 42 (Cdc42) is a key activator of WASP, which binds Cdc42 through a Cdc42/Rac-interactive binding (CRIB)-containing region that defines a subset of Cdc42 effectors. Here, using site-directed mutagenesis and binding affinity determination and kinetic assays, we report the results of an investigation into the energetic contributions of individual WASP residues to both the Cdc42–WASP binding interface and the kinetics of complex formation. Our results support the previously proposed dock-and-coalesce binding mechanism, initiated by electrostatic steering driven by WASP's basic region and followed by a coalescence phase likely driven by the conserved CRIB motif. The WASP basic region, however, appears also to play a role in the final complex, as its mutation affected both on- and off-rates, suggesting a more comprehensive physiological role for this region centered on the C-terminal triad of positive residues. These results highlight the expanding roles of the basic region in WASP and other CRIB-containing effector proteins in regulating complex cellular processes and coordinating multiple input signals. The data presented improve our understanding of the Cdc42–WASP interface and also add to the body of information available for Cdc42–effector complex formation, therapeutic targeting of which has promise for Ras-driven cancers. Our findings suggest that combining high-affinity peptide-binding sequences with short electrostatic steering sequences could increase the efficacy of peptidomimetic candidates designed to interfere with Cdc42 signaling in cancer.
Realistic post-processing of rendered 3D scenes

In this talk, we show a realistic post-processing rendering based on generative adversarial network CycleWGAN. We propose to use CycleGAN architecture and Wasserstein loss function with additional identity component in order to transfer graphics from Grand Theft Auto V to the older version of GTA video-game, Grand Theft Auto: San Andreas. We aim to present the application of modern art style transfer and unpaired image-to-image translations methods for graphics improvement using deep neural networks with adversarial loss.
Outcomes of Community-Based Suicide Prevention Approaches That Involve Reducing Access to Pesticides: A Systematic Literature Review.

OBJECTIVE Pesticide ingestion is among the most commonly utilized means of suicide worldwide. Restricting access to pesticides at a local level is one strategy to address this major public health problem, but little is known about its effectiveness. We therefore conducted a systematic literature review to identify effective community-based suicide prevention approaches that involve restricting access to pesticides. METHOD We searched Embase, Scopus, PsycINFO, Cochrane Library, CINAHL, and PubMed for well-designed studies that reported on suicide-related outcomes (i.e., attempted or completed suicide). RESULTS We identified only five studies that met our eligibility criteria (two randomized controlled trials, two studies with quasi-experimental designs, and one study with a before-and-after design). These studies tested different interventions: the introduction of nonpesticide agricultural management, providing central storage facilities for pesticides, distributing locked storage containers to households, and local insecticide bans. The only sufficiently powered study produced no evidence of the effectiveness of providing household storage containers. Three interventions showed some promise in reducing pesticide suicides or attempts, with certain caveats. CONCLUSIONS Our review identified three community interventions that show some promise for reducing pesticide suicides by restricting access to means, which will require replication in large, well-designed trials before they can be recommended.
PGC‐1α in hepatic UPR during high‐fat high‐fructose diet and exercise training in mice

Diet‐induced obesity is associated with hepatic steatosis, which has been linked with activation of the unfolded protein response (UPR). PGC‐1α is a transcriptional coactivator involved in exercise training‐induced adaptations in muscle and liver. Therefore, the aim of this study was to test the hypothesis that PGC‐1α is required for exercise training‐mediated prevention of diet‐induced steatosis and UPR activation in liver. Male liver‐specific PGC‐1α knockout (LKO) and littermate floxed (lox/lox) mice were divided into two groups receiving either control diet (CON) or high‐fat high‐fructose diet (HFF). After 9 weeks, half of the HFF mice were treadmill exercise trained for 4 weeks (HFF+ExT), while the rest were kept sedentary. HFF resulted in increased body and liver weight, adiposity, hepatic steatosis and whole body glucose intolerance as well as decreased hepatic IRE1α phosphorylation. Exercise training prevented the HFF‐induced weight gain and partially prevented increased liver weight, adiposity and glucose intolerance, but with no effect on liver triglycerides. In addition, BiP protein and CHOP mRNA content increased with exercise training compared with CON and HFF, respectively. Lack of PGC‐1α in the liver only resulted in minor changes in the PERK pathway. In conclusion, this study provides evidence for dissociation between diet‐induced hepatic triglyceride accumulation and hepatic UPR activation. In addition, PGC‐1α was not required for maintenance of basal UPR in the liver and due to only minor exercise training effects on UPR further studies are needed to conclude on the potential role of PGC‐1α in exercise training‐induced adaptations in hepatic UPR.
Effect of seed priming on some physiological characteristics in rice ( Oryza sativa L . ) cv . KDML 105 under drought stress

Drought stress is a major factor limiting rice growth and causes changes in metabolic processes. This research aimed to study effects of seed priming with various chemicals including distilled water (hydropriming), 10% polyethyleneglycol, 10 μM spermine, 2 mM ascorbic acid, 100 mM glycine betaine and 10 mM CaCl2 in riceseedling cv. Khao Dawk Mali 105 under drought condition. Rice seeds were primed for 48 hrs and grown hydroponically in half-strength Hoagland solution for 21 days. Rice seedlings were then subjected to drought stress by adding15% polyethyleneglygol to the nutrient solution, except the control group which was hydroprimed seedling grown in regular nutrient solution. The results showed that all priming treatments with chemicals have a potentially improved seedling growth, relative water content, total chlorophyll content and total soluble sugar under drought stress over hydropriming.More physiological traits and antioxidant enzyme activities will be further investigated to determine the most effective chemicals for seed priming in order to improve drought tolerance in rice.
Machine to Machine Trusted Behaviors Defining and Implementing Effective and Efficient Trust Mechanisms

—In the coming decades, we will live in a world surrounded by tens of billions of devices that will interoperate and collaborate in an effort to deliver personalized and autonomic services. Our reliance on these machine-to-machine systems to make decisions on our behalf has profound implications, and makes mechanisms for expressing and reasoning about trust essential. The Georgia Tech Research Institute recently started a strategic initiative on the Internet of Things focusing on trust. We are developing a trust framework for the machine-to-machine domain that classifies leadership functions into three dimensions. We are also developing a live, virtual, constructive platform for the design and validation of trust technologies for fully connected, ubiquitous systems. This work is in an exploratory stage, and our approach and future plans are described in the paper.
TRP Channels as Potential Targets for Sex-Related Differences in Migraine Pain

Chronic pain is one of the most debilitating human diseases and represents a social and economic burden for our society. Great efforts are being made to understand the molecular and cellular mechanisms underlying the pathophysiology of pain transduction. It is particularly noteworthy that some types of chronic pain, such as migraine, display a remarkable sex dimorphism, being up to three times more prevalent in women than in men. This gender prevalence in migraine appears to be related to sex differences arising from both gonadal and genetic factors. Indeed, the functionality of the somatosensory, immune, and endothelial systems seems modulated by sex hormones, as well as by X-linked genes differentially expressed during development. Here, we review the current data on the modulation of the somatosensory system functionality by gonadal hormones. Although this is still an area that requires intense investigation, there is evidence suggesting a direct regulation of nociceptor activity by sex hormones at the transcriptional, translational, and functional levels. Data are being accumulated on the effect of sex hormones on TRP channels such as TRPV1 that make pivotal contributions to nociceptor excitability and sensitization in migraine and other chronic pain syndromes. These data suggest that modulation of TRP channels' expression and/or activity by gonadal hormones provide novel pathways for drug intervention that may be useful for targeting the sex dimorphism observed in migraine.
RNA Expression Profile and Potential Biomarkers in Patients With Spinocerebellar Ataxia Type 3 From Mainland China

Long non-coding RNAs (lncRNAs) play an important role in growth, development, and reproduction and undoubtedly contribute to the pathogenesis and progression of diseases. Emerging evidence suggests the involvement of lncRNAs as regulatory factors in pathological conditions, including some neurodegenerative diseases. Spinocerebellar Ataxia Type 3/Machado–Joseph Disease (SCA3/MJD) has a prominent prevalence in China. Because the role of lncRNAs in SCA3/MJD pathogenesis has not yet been investigated, we conducted a pilot study to investigate the expression profile of lncRNAs by high-throughput sequencing in 12 patients and 12 healthy individuals. The sequencing analysis detected 5,540 known and 2,759 novel lncRNAs. Six lncRNAs were confirmed to be differentially expressed in peripheral blood mononuclear cells between SCA3/MJD patients and healthy individuals and were further validated in cerebellar tissue. Based on these results, NONHSAT022144.2 and NONHSAT165686.1 may be involved in the pathogenesis of SCA3/MJD and may be potential biomarkers for SCA3/MJD. Together with NONHSAT022144.2 and NONHSAT165686.1, the other four novel lncRNAs increase our understanding of lncRNA expression profile.
Theoretical Platform for Liquid-Crystalline Self-Assembly of Collagen-Based Biomaterials

The collagen triple helix is a ubiquitous biomacromolecule used in acidic aqueous solutions as precursor in the fabrication of artificial compact bone and cornea and in tissue engineering. The primary architecture of these highly structured solid tissues is formed during the cholesteric liquid-crystalline stage of their morphogenesis. The theoretical platform that describes the coupled dynamics of phase-ordering and mass transfer developed, implemented and validated here can be used for optimal material design and plays a significant complementary role to future experimental studies. Based on uniaxiality assumption, we have recently developed and validated a theory for the free energy tailored for acidic collagenous dispersions. Here we significantly expand and generalize our previous study, by including biaxiality since cholesteric phases must have a degree of biaxiality. In this work, we first modify the proposed interchain interaction and excluded-volume contribution by use of the addition theorem for spherical harmonics. Then, the Euler-Lagrange minimization followed by expansion around I/N* transition allows us to construct the free energy of ordering in terms of the phenomenological Landau–de Gennes formulation. Finally, we use the time-dependent Ginzburg-Landau equations to study the non-Fickian evolution of a single two dimensional cholesteric tactoid through a shallow quench from the isotropic to biphasic region of the phase diagram. Although equilibrium biaxiality is considerably low for these long-pitch cholesterics, we found that during self-assembly the biaxial order parameter achieves significant larger values than the equilibrium value. Additionally, the relaxed director field becomes both onion-like and defect-less, which is consistent with the twisted bipolar structure observed experimentally. The self-assembly simulations demonstrate that the formulated theoretical platform is not only consistent with previous theoretical and experimental studies but also able to be used to explore new routes for non-equilibrium collagen self-assembly. Taken together, this study deepens our understanding of cholesteric (chiral nematic N*) mesophase in acidic solutions of tropocollagen, and suggests a systematic spatio-temporal model that is capable of being used to extract the engineering principles for processing of these sought-after biomaterials.
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool

Author(s): Kuo, Tsung-Ting; Huh, Jina; Kim, Jihoon; El-Kareh, Robert; Singh, Siddharth; Feupe, Stephanie Feudjio; Kuri, Vincent; Lin, Gordon; Day, Michele E; Ohno-Machado, Lucila; Hsu, Chun-Nan | Abstract: Objective. Annotation is expensive but essential for clinical note review and clinical natural language processing (cNLP). However, the extent to which computer-generated pre-annotation is beneficial to human annotation is still an open question. Our study introduces CLEAN (CLinical note rEview and ANnotation), a pre-annotation-based cNLP annotation system to improve clinical note annotation of data elements, and comprehensively compares CLEAN with the widely-used annotation system Brat Rapid Annotation Tool (BRAT). Materials and Methods. CLEAN includes an ensemble pipeline (CLEAN-EP) with a newly developed annotation tool (CLEAN-AT). A domain expert and a novice user/annotator participated in a comparative usability test by tagging 87 data elements related to Congestive Heart Failure (CHF) and Kawasaki Disease (KD) cohorts in 84 public notes. Results. CLEAN achieved higher note-level F1-score (0.896) over BRAT (0.820), with significant difference in correctness (P-value l 0.001), and the mostly related factor being system/software (P-value l 0.001). No significant difference (P-value 0.188) in annotation time was observed between CLEAN (7.262 minutes/note) and BRAT (8.286 minutes/note). The difference was mostly associated with note length (P-value l 0.001) and system/software (P-value 0.013). The expert reported CLEAN to be useful/satisfactory, while the novice reported slight improvements. Discussion. CLEAN improves the correctness of annotation and increases usefulness/satisfaction with the same level of efficiency. Limitations include untested impact of pre-annotation correctness rate, small sample size, small user size, and restrictedly validated gold standard. Conclusion. CLEAN with pre-annotation can be beneficial for an expert to deal with complex annotation tasks involving numerous and diverse target data elements.
Importance of Taiman in Larval-Pupal Transition in Leptinotarsa decemlineata

Insect Taiman (Tai) binds to methoprene-tolerant to form a heterodimeric complex, mediating juvenile hormone (JH) signaling to regulate larval development and to prevent premature metamorphosis. Tai also acts as a steroid receptor coactivator of 20-hydroxyecdysone (20E) receptor heterodimer, ecdysone receptor (EcR) and Ultraspiracle (USP), to control the differentiation of early germline cells and the migration of specific follicle cells and border cells in ovaries in several insect species. In holometabolous insects, however, whether Tai functions as the coactivator of EcR/USP to transduce 20E message during larval-pupal transition is unknown. In the present paper, we found that the LdTai mRNA levels were positively correlated with circulating JH and 20E titers in Leptinotarsa decemlineata; and ingestion of either JH or 20E stimulated the transcription of LdTai. Moreover, RNA interference (RNAi)-aided knockdown of LdTai at the fourth (final) instar stage repressed both JH and 20E signals, inhibited larval growth and shortened larval developing period. The knockdown caused 100% larval lethality due to failure of larval-pupal ecdysis. Under the apolysed larval cuticle, the LdTai RNAi prepupae possessed pupal thorax. In contrast, the process of tracheal ecdysis was uncompleted. Neither JH nor 20E rescued the aforementioned defectives in LdTai RNAi larvae. It appears that Tai mediates both JH and 20E signaling. Our results uncover a link between JH and 20E pathways during metamorphosis in L. decemlineata.