Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyclic Spectral Analysis of Vibration Signals for Centrifugal Pump Fault Characterization

Seal damage and cavitation are common faults during centrifugal pump operation. The characterization and recognition of these faults are investigated in this paper to improve the efficiency and reliability of pumps. A time-frequency signal analysis method based on the cyclostationary theory is adopted to extract the frequency characteristic components from non-stationary vibration signals under cavitation and seal damage conditions. Specifically, the signal analysis was conducted preliminarily based on the calculation of cyclic autocorrelation functions (CAFs) for various signals. Corresponding slices are extracted from the CAFs and processed by fast Fourier transform (FFT) method. Consequently from the FFT spectra, indicators for characterization are extracted to demonstrate the occurrence and severity of faults. Results show that the indicators for seal damage characterization are 100 and 600-Hz frequency components in slice $\alpha =600$ Hz of CAF corresponding to shaft and blade passing frequency in the frequency domain of vibration signals. Meanwhile, the occurrence and development status of cavitation are indicated by the frequency component of 200 Hz in slice $\alpha =600$ Hz of CAF. Additionally, the effect of instability caused by off-design, seal damage, and cavitation operation conditions are distinguished by cyclic spectra analysis. Characteristic components are innovatively extracted at specific frequencies to avoid the effect from modulated and noise components in vibration signals. And the results about recognition of different types of faults could provide important evidences for fault detection during pump operation.
Learning temporal representation of transaction amount for fraudulent transaction recognition using CNN, Stacked LSTM, and CNN-LSTM

This paper aims to explore deep learning model to learn short-term and long-term patterns from imbalanced input dataset. Data for this study are imbalanced card transactions from an Indonesia bank in period 2016–2017 with binary labels (nonfraud or fraud). From 50 features of the dataset, 30 principal components of data contribute to 87 % of the cumulative Eigenvalues. This study explores the effect of nonfraud to fraud sample ratio from 1 to 4 and three models: Convolutional Neural Network (CNN), Stacked Long Short-term Memory (SLSTM), and Hybrid of CNN-LSTM. Using Area Under the ROC Curve (AUC) as model performance, CNN achieved the highest AUC for R=1,2,3,4 followed by SLSTM and CNN-LSTM.
Are wishes for death or suicidal ideation symptoms of depression in older adults?

ABSTRACT Objective: Clinicians may question whether thoughts of being better off dead are normal consequences of aging or symptoms of depression. We examine whether thoughts of suicide are as strongly linked to depression severity in older adults as they are in other age groups. Methods: Cross-sectional cohort study. Participants included 509,945 outpatients >18 years old from four large integrated healthcare systems in the Mental Health Research Network who completed 1.2 million Patient Health Questionnaires (PHQ) and had data to calculate Charlson Comorbidity Index scores from 2010 through 2012. The PHQ8 estimated depression severity, while suicidal ideation was measured using the 9th item of the PHQ. Data were abstracted from a Virtual Data Warehouse. Results: In older adult patients, suicidal ideation was strongly associated with depression severity. Older adults who had at least moderately-severe depression (PHQ8 ≥15) were 48 times more likely (95% CI: 42.8–53.8) to report suicidal ideation than those with minimal or mild symptoms of depression (PHQ8 <10) after adjustment for all other variables in the model, including medical comorbidity burden. Conclusions: Depression severity was by far the strongest predictor of suicidal ideation in older adult patients. Older patients with suicidal ideation should be screened for depression.
Vehicle tracking at intersection in image sequences with multilayer concept

Multi-object tracking is an important subject in computer vision. Vehicle tracking can be used in surveillance and traffic management systems. Tracking at intersection has gained attention in recent years. Because of different movements, motion flows and congestion, tracking at intersection becomes a complex task. In this paper, we develop a multilayer concept for tracking at intersections. We construct multiple layers for covering the field of view of intersection and assign each vehicle to a specific layer after entering the intersection according to its motion. After defining neighbors in each layer based on motion flows, tracking is done in that layer. So we divide different motions into specific layers. Our method is independent of detection phase and can be used with different detection methods. Experiments show that accurate tracks can be acquired even when vehicles pass by each other. According to experiments, it is possible to apply this method in real time vehicles tracking applications at intersections.
Mitochondrial genome diversity among six laboratory zebrafish (Danio rerio) strains

Abstract The mitochondrial genome (mtDNA) is distinct from the nuclear genome and is known to play a significant role in several disease phenotypes, such as longevity and fertility. Here we characterize the complete mitochondrial genomes (∼16 590 bp), and the extent of within and between strain variation for 27 adult zebrafish, representing five commonly used laboratory strains (AB, TL, HL, WIK, and SJD) and one line acquired from a local pet shop. These data were subsequently analyzed to determine the phylogenetic relationships between strains and ascertain if positive selection might be operating on any mtDNA genes. Relationships between strains are not entirely consistent with those observed previously using nuclear DNA. Further there is a substantial body of variation within current zebrafish lines, with 172 variants described across lines. Of these, 27 changes are non-synonymous and there is nominal evidence for positive selection in the mtDNA sequences at some of these sites. We further identify novel frameshift mutations in eight genes, which are all predicted to have functional consequences. Our study provides the first information on mtDNA diversity in zebrafish, identifies multiple non-synonymous substitutions and other mutations expected to have functional effects, and represents an important first step in establishing zebrafish as a model for investigating the phenotypic effects of mtDNA mutations.
A predictive parameter for the shape memory behavior of thermoplastic polymers

We present an experimental and modeling study of the effect of programming conditions on the shape-memory behaviors of amorphous thermoplastic polymers. Experimentally we measure the influence of deformation temperature, strain rate and relaxation time on the thermomechanical properties and shape-memory response of poly(para-phenylene), which is a stiff and strong aromatic thermoplastic. To understand the underlying mechanism, we develop a viscoelastic model, which contains multiple discrete relaxation processes with broad distribution of relaxation time. The model parameters of the relaxation spectrum are obtained from the master curve of small strain–stress relaxation tests using time-temperature superposition. The model predictions show good agreement with experimental observations, including the stress response and shape-memory response under various conditions. We applied the model to study the effect of the programming conditions on the shape recovery performance. The results show that the relaxation modulus at the end of the programming process was a predictor of the recovery speed and recoverable strain ratio. This provides a design metric to optimize the shape programming process for shape recovery. © 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2016, 54, 1405–1414
EPIPHYSEAL DISTRACTION MONITORED BY STRAIN GAUGES

Ten epiphyses in seven children underwent fixed-rate distraction of 0.25 mm twice daily in an attempt to achieve percutaneous leg lengthening by chondrodiatasis. The forces generated across the growth plate were recorded by means of strain gauges incorporated into the distractors. All epiphyses fractured before 33 days oflengthening. An average gain of 6.75 cm was achieved. Epiphyseal distraction at the lower femur produced many complications, but at the upper tibial epiphysis planned lengthening was achieved, with excellent bone
Loss of kallikrein‐related peptidase 7 exacerbates amyloid pathology in Alzheimer's disease model mice

Deposition of amyloid‐β (Aβ) as senile plaques is one of the pathological hallmarks in the brains of Alzheimer's disease (AD) patients. In addition, glial activation has been found in AD brains, although the precise pathological role of astrocytes remains unclear. Here, we identified kallikrein‐related peptidase 7 (KLK7) as an astrocyte‐derived Aβ degrading enzyme. Expression of KLK7 mRNA was significantly decreased in the brains of AD patients. Ablation of Klk7 exacerbated the thioflavin S‐positive Aβ pathology in AD model mice. The expression of Klk7 was upregulated by Aβ treatment in the primary astrocyte, suggesting that Klk7 is homeostatically modulated by Aβ‐induced responses. Finally, we found that the Food and Drug Administration‐approved anti‐dementia drug memantine can increase the expression of Klk7 and Aβ degradation activity specifically in the astrocytes. These data suggest that KLK7 is an important enzyme in the degradation and clearance of deposited Aβ species by astrocytes involved in the pathogenesis of AD.
Progressive topological disorganization of brain network in focal epilepsy

Increasing evidence has suggested that epilepsy is a network disease. Graph theory is a mathematical tool that allows for the analysis and quantification of the brain network. We aimed to evaluate the influences of duration of epilepsy on the topological organization of brain network in focal epilepsy patients with normal MRI using the graph theoretical analysis based on diffusion tenor imaging.
Soaking Treatment of Wood Flame-proof and New Technology

Some popular wood soaking methods such as atmospheric pressure condition and vacuum-pressure condition for wood flame-proof were introduced.Based on reviewing traditional wood soaking methods of fire-retardant, some new techniques in soaking wood treatement with fire retardants such as microwave technology and ultrasonic technology were discussed.The new technology may realize production equipment small-size,continuous and easy operation.
Investigation of Possibilities to Detect Malware Using Existing Tools

Malware stands for malicious software, which is installed on a computer system without the knowledge of the system owner. It performs malicious actions such as stealing confidential information and allowing remote code execution, and it can cause denial of service. Recently, malware creators started to publish new malware, which can bypass anti-malware software, intrusion detection systems (IDS) and sandbox execution. Due to this evasion, the protection of computer networks and computerized systems against these programs has become one of the biggest challenges in the information security realm. This paper proposes a methodology to learn the well-known malware analysis and detection tools, to implement these tools on well-known malware and benign programs and to compare the obtained results. Further, this research will suggest to users how to analyze and detect existing and unknown malware. In a test case, 100 malware and 100 benign program samples were collected from different sources and analyzed under different versions of Windows machines. The test results indicated that it is almost impossible to detect malware by only using one tool. Using static and dynamic analysis tools together increased accuracy and the detection rate. The test results also showed that dynamic malware analysis tools outperformed static analysis tools.
Effects of high‐intensity interval cycling performed after resistance training on muscle strength and hypertrophy

Aim of the study was to investigate whether high‐intensity interval cycling performed immediately after resistance training would inhibit muscle strength increase and hypertrophy expected from resistance training per se. Twenty‐two young men were assigned into either resistance training (RE; N = 11) or resistance training plus high‐intensity interval cycling (REC; N = 11). Lower body muscle strength and rate of force development (RFD), quadriceps cross‐sectional area (CSA) and vastus lateralis muscle architecture, muscle fiber type composition and capillarization, and estimated aerobic capacity were evaluated before and after 8 weeks of training (2 times per week). Muscle strength and quadriceps CSA were significantly and similarly increased after both interventions. Fiber CSA increased significantly and similarly after both RE (type I: 13.6 ± 3.7%, type IIA: 17.6 ± 4.4%, type IIX: 23.2 ± 5.7%, P < 0.05) and REC (type I: 10.0 ± 2.7%, type IIA: 14.8 ± 4.3% type IIX: 20.8 ± 6.0%, P < 0.05). In contrast, RFD decreased and fascicle angle increased (P < 0.05) only after REC. Capillary density and estimated aerobic capacity increased (P < 0.05) only after REC. These results suggest that high‐intensity interval cycling performed after heavy‐resistance exercise may not inhibit resistance exercise‐induced muscle strength/hypertrophy after 2 months of training, while it prompts aerobic capacity and muscle capillarization. The addition of high‐intensity cycling after heavy‐resistance exercise may decrease RFD partly due to muscle architectural changes.
Gene-based association study for lipid traits in diverse cohorts implicates BACE1 and SIDT2 regulation in triglyceride levels

Plasma lipid levels are risk factors for cardiovascular disease, a leading cause of death worldwide. While many studies have been conducted on lipid genetics, they mainly focus on Europeans and thus their transferability to diverse populations is unclear. We performed SNP- and gene-level genome-wide association studies (GWAS) of four lipid traits in cohorts from Nigeria and the Philippines and compared them to the results of larger, predominantly European meta-analyses. Two previously implicated loci met genome-wide significance in our SNP-level GWAS in the Nigerian cohort, rs34065661 in CETP associated with HDL cholesterol (P = 9.0 × 10−10) and rs1065853 upstream of APOE associated with LDL cholesterol (P = 6.6 × 10−9). The top SNP in the Filipino cohort associated with triglyceride levels (rs662799; P = 2.7 × 10−16) and has been previously implicated in other East Asian studies. While this SNP is located directly upstream of well known APOA5, we show it may also be involved in the regulation of BACE1 and SIDT2. Our gene-based association analysis, PrediXcan, revealed decreased expression of BACE1 and decreased expression of SIDT2 in several tissues, all driven by rs662799, significantly associate with increased triglyceride levels in Filipinos (FDR <0.1). In addition, our PrediXcan analysis implicated gene regulation as the mechanism underlying the associations of many other previously discovered lipid loci. Our novel BACE1 and SIDT2 findings were confirmed using summary statistics from the Global Lipids Genetic Consortium (GLGC) meta-GWAS.
Gis1 and Rph1 Regulate Glycerol and Acetate Metabolism in Glucose Depleted Yeast Cells

Aging in organisms as diverse as yeast, nematodes, and mammals is delayed by caloric restriction, an effect mediated by the nutrient sensing TOR, RAS/cAMP, and AKT/Sch9 pathways. The transcription factor Gis1 functions downstream of these pathways in extending the lifespan of nutrient restricted yeast cells, but the mechanisms involved are still poorly understood. We have used gene expression microarrays to study the targets of Gis1 and the related protein Rph1 in different growth phases. Our results show that Gis1 and Rph1 act both as repressors and activators, on overlapping sets of genes as well as on distinct targets. Interestingly, both the activities and the target specificities of Gis1 and Rph1 depend on the growth phase. Thus, both proteins are associated with repression during exponential growth, targeting genes with STRE or PDS motifs in their promoters. After the diauxic shift, both become involved in activation, with Gis1 acting primarily on genes with PDS motifs, and Rph1 on genes with STRE motifs. Significantly, Gis1 and Rph1 control a number of genes involved in acetate and glycerol formation, metabolites that have been implicated in aging. Furthermore, several genes involved in acetyl-CoA metabolism are downregulated by Gis1.
Thyrotropin-releasing hormone (TRH), produced in the hypothalamus, is the major stimulator of thyroid-stimulating hormone (TSH) synthesis and release from the anterior lobe of the pituitary. This exerts a positive input to the thyroid hormones

Glucocorticoids and thyroid hormones control many aspects of fetal development. Using immunohistochemistry and stereology, in the present study we investigated the effects of dexamethasone (Dx) administration during pregnancy on pituitary TSH cells of 19-day-old fetuses. Doses of 1.0, 0.5, and 0.5 mg Dx/kg bw/day were given to the dams on three consecutive days starting on day 16 of gestation. Administration of Dx to pregnant rats induced a significant decline of fetal TSH cell number per unit of area and their volume density in comparison with the corresponding controls. Our results showed that maternal Dx administration inhibited multiplication of TSH cells in 19-day-old fetuses.
Computational Refinement of Functional Single Nucleotide Polymorphisms Associated with ATM Gene

Background Understanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the most common forms of genetic variations that account for various forms of cancer. However, the extent to which SNPs interferes with the gene regulation and affects cancer susceptibility remains largely unknown. Principal findings We analyzed the deleterious nsSNPs associated with ATM gene based on different computational methods. An integrative scoring system and sequence conservation of amino acid residues was adapted for a priori nsSNP analysis of variants associated with cancer. We further extended our approach on SNPs that could potentially influence protein Post Translational Modifications in ATM gene. Significance In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in both coding and non coding region that can alter the expression and function of ATM gene. In silico characterization of nsSNPs affecting ATM gene function can aid in better understanding of genetic differences in disease susceptibility.
Influence of water absorption and temperature on charge transport and electrical degradation in epoxy resins

The work aims to understand bulk transport mechanisms in epoxy resins and their influence on partial discharge and electrical treeing phenomena. The charge transport processes in two bisphenol-A epoxy resin systems were studied using dielectric spectroscopy and related to moisture uptake. In both resins, absorbed moisture was implicated in the formation of a bulk quasi-dc (QDC) charge transport mechanism above the glass transition temperature. Complementary investigations of the electrical degradation process in epoxy resins, principally electrical treeing, were also found to be dependent on temperature and moisture absorbed by the samples. A model for electrical tree growth in flexible epoxy resins has been proposed. The novelty of the model is that it considers a QDC charge transport through the bulk polymer, where proton hopping is suggested as a long range transport mechanism. The time needed for the neutralisation of the space charge accumulated ahead of a growing tree structure by charges involved in the QDC process is suggested as a governing parameter of the tree growth rate. Electrical tree growth is related to changes in the time constant of the QDC process and hence the percolation distance that the protons can travel. At high levels of moisture and/or temperature, multiple percolation paths can be established thus increasing the effective ionic conductivity of the material leading to thermal breakdown when tan is greater than 1.
Comparative Transcriptome Analyses Indicate Molecular Homology of Zebrafish Swimbladder and Mammalian Lung

The fish swimbladder is a unique organ in vertebrate evolution and it functions for regulating buoyancy in most teleost species. It has long been postulated as a homolog of the tetrapod lung, but the molecular evidence is scarce. In order to understand the molecular function of swimbladder as well as its relationship with lungs in tetrapods, transcriptomic analyses of zebrafish swimbladder were carried out by RNA-seq. Gene ontology classification showed that genes in cytoskeleton and endoplasmic reticulum were enriched in the swimbladder. Further analyses depicted gene sets and pathways closely related to cytoskeleton constitution and regulation, cell adhesion, and extracellular matrix. Several prominent transcription factor genes in the swimbladder including hoxc4a, hoxc6a, hoxc8a and foxf1 were identified and their expressions in developing swimbladder during embryogenesis were confirmed. By comparison of enriched transcripts in the swimbladder with those in human and mouse lungs, we established the resemblance of transcriptome of the zebrafish swimbladder and mammalian lungs. Based on the transcriptomic data of zebrafish swimbladder, the predominant functions of swimbladder are in its epithelial and muscular tissues. Our comparative analyses also provide molecular evidence of the relatedness of the fish swimbladder and mammalian lung.
Prepartum Negative DCAD Diets – They ’ re Not Just for Milk Fever Anymore

Hypocalcemia is presented in two forms, the less common clinical disease called milk fever and the more common form called subclinical hypocalcemia (SCH). Depending upon how it is defined and the frequency of blood sampling for diagnosis, SCH can affect 25 to 40% of primiparous and 45 to 80% of the multiparous cows. Cows with SCH have reduced dry matter (DM) intake, suppressed measures of innate and acquired immune function, compromised energy metabolism, and increased incidence of other periparturient diseases. This is why hypocalcemia is considered a “gateway” disease for dairy cattle.