Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models

As the field of fault diagnosis in electrical machines has significantly attracted the interest of the research community in recent years, several methods have arisen in the literature. Also, raw data signals can be acquired easily nowadays, and, thus, machine learning (ML) and deep learning (DL) are candidate tools for effective diagnosis. At the same time, a challenging task is to identify the presence and type of a bearing fault under noisy conditions, especially when relevant faults are at their incipient stage. Since, in real-world applications and especially in industrial processes, electrical machines operate in constantly noisy environments, a key to an effective approach lies in the preprocessing stage adopted. In this work, an evaluation study is conducted to find the most suitable signal preprocessing techniques and the most effective model for fault diagnosis of 16 conditions/classes, from a low-workload (computational burden) perspective using a well-known dataset. More specifically, the reliability and resiliency of conventional ML and DL models is investigated here, towards rolling bearing fault detection, simulating data that correspond to noisy industrial environments. Diverse preprocessing methods are applied in order to study the performance of different training methods from the feature extraction perspective. These feature extraction methods include statistical features in time-domain analysis (TDA); wavelet packet decomposition (WPD); continuous wavelet transform (CWT); and signal-to-image conversion (SIC), utilizing raw vibration signals acquired under varying load conditions. The noise effect is examined and thoroughly commented on. Finally, the paper provides accumulated usual practices in the sense of preferred preprocessing methods and training models under different load and noise conditions.
Cicadas spreading by island or by spreading the wings. Historic biogeography of the dundubiine civcadas of the Southeast Asian continent and archipelagos

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Optimizing the Micro-Architectural Performance of the Current and Emerging Edge Infrastructure

The Network Function Virtualization (NFV) is the essential technology proposed to tackle the next-generation mobile system’s various flexibility features. In this article, we implement a thorough micro-architectural performance investigation on the NFV-enabled edge virtual Radio Access Network (vRAN) and the emerging 5G new-radio (nr) platform to unveil the main micro-architectural bottlenecks of the next-generation network’s vRAN system. Based on our experimental results, we find that the high core bound hinders the processing speed of the vRAN and 5G nr platforms. Several solutions alleviating the vRAN’s core bound are proposed to accelerate the vRAN system’s processing speed. Besides, we observe that the current co-location strategy cannot maximize the COTS servers’ CPU utilization and meanwhile eliminate the system hang-up caused by CPU resource contention. We fill this gap by proposing an optimized co-location strategy based on our observed vRAN co-location characterization. Finally, we detect that on the modern hyper-threading-enabled COTS servers, the current pin core policy of 5G nr will cause L3 cache contention, which will lead to severe system hang-up. A novel threads management mechanism is proposed to eliminate this system hang-up on the hyper-threading-enabled COTS servers.
AI-enabled Exit Strategy of Emergency Vehicle Preemption

Emergency Vehicle Preemption (EVP) is a system employed by traffic lights to prioritize emergency vehicles, such as ambulances, fire engines, and police cars. This technology allows these vehicles to safely pass through crowded intersections by stopping traffic from other directions. However, it is essential to consider that preempting the regular traffic signal control could have implications for the safety and efficiency of both the prioritized emergency vehicle and the overall flow of regular traffic at the intersection. Research on EVP and Exit Strategy has been extensively developed and implemented in various commercial products, including the Trafficware 980 ATC V76 signal controller. Trafficware offers multiple EVP schemes and Exit Strategy modes that can be customized by traffic operators to suit their specific requirements. Studies have indicated that certain Exit Strategies perform optimally under specific traffic conditions. Yet, the complexity of traffic conditions poses a challenge for traffic operators to optimize the Trafficware's performance by selecting the most effective Exit Strategy mode. To address this, Artificial Intelligence (AI) with Reinforcement Learning (RL) techniques used to improve the Trafficware 980 ATC V76 system. Particularly, the Exit to Fixed Phase strategy will be optimized, enabling Trafficware to dynamically choose the most suitable exit phase from the available four phases based on real-time traffic conditions. Implementing this optimization will replace the current fixed exit phase selection with a more adaptable and responsive approach, leading to improved traffic management and efficiency, ultimately resulting in reduced waiting times. The results show that the AI-enabled exit strategy can reduce the waiting time with the best performance up to 7.8% compared to no exit strategy. The Trafficware 980 ATC V76 has been upgraded with the ability to adjust signals based on policies to recover from congestion caused by preemption.
ENOLA HOLMES 2020 MOVIE: REVEALING GRAMMATICAL COHESION

This study uses Enola Holmes movie script 2020 to reveal the types of grammatical cohesions. The theories used are the theory of Hasan and Halliday (1976). This study uses qualitative approach. The technique of data collection of this study is documentary. This study is analysed by using document as the data that are already transcribed. Based on the finding and data analysis, the writer finds 107 data of all the types of grammatical cohesion, they are: reference (81), substitution (3), ellipsis (12), and conjunction (11). The most dominant grammatical cohesion types used in the movie script is demonstrative reference “this” that occurs 17 times.AbstrakPenelitian ini menggunakan naskah film Enola Holmes 2020 untuk mengungkapkan jenis-jenis kohesi gramatikal. Teori yang digunakan adalah teori Hasan dan Halliday (1976). Penelitian ini menggunakan pendekatan kualitatif. Teknik pengumpulan data penelitian ini adalah dokumentasi. Berdasarkan temuan dan analisis data, penulis menemukan 107 data dari semua jenis kohesi gramatikal, yaitu; referensi (81), substitusi (3), elipsis (12), dan konjungsi (11). Jenis kohesi gramatikal yang paling dominan digunakan dalam naskahfilm adalah referensi demonstratif “this” yang muncul sebanyak 17 kali.
Association Analysis of Transcriptome and Targeted Metabolites Identifies Key Genes Involved in Iris germanica Anthocyanin Biosynthesis

The anthocyanin biosynthetic pathway is the main pathway regulating floral coloration in Iris germanica, a well-known ornamental plant. We investigated the transcriptome profiles and targeted metabolites to elucidate the relationship between genes and metabolites in anthocyanin biosynthesis in the bitone flower cultivar ‘Clarence’, which has a deep blue outer perianth and nearly white inner perianth. In this study, delphinidin-, pelargonidin-, and cyanidin-based anthocyanins were detected in the flowers. The content of delphinidin-based anthocyanins increased with the development of the flower. At full bloom (stage 3), delphinidin-based anthocyanins accounted for most of the total anthocyanin metabolites, whereas the content of pelargonidin- and cyanidin-based anthocyanins was relatively low. Based on functional annotations, a number of novel genes in the anthocyanin pathway were identified, which included early biosynthetic genes IgCHS, IgCHI, and IgF3H and late biosynthetic genes Ig F3′5′H, IgANS, and IgDFR. The expression of key structural genes encoding enzymes, such as IgF3H, Ig F3′5′H, IgANS, and IgDFR, was significantly upregulated in the outer perianth compared to the inner perianth. In addition, most structural genes exhibited their highest expression at the half-color stage rather than at the full-bloom stage, which indicates that these genes function ahead of anthocyanins synthesis. Moreover, transcription factors (TFs) of plant R2R3-myeloblastosis (R2R3-MYB) related to the regulation of anthocyanin biosynthesis were identified. Among 56 R2R3-MYB genes, 2 members belonged to subgroup 4, with them regulating the expression of late biosynthetic genes in the anthocyanin biosynthetic pathway, and 4 members belonged to subgroup 7, with them regulating the expression of early biosynthetic genes in the anthocyanin biosynthetic pathway. Quantitative real-time PCR (qRT-PCR) analysis was used to validate the data of RNA sequencing (RNA-Seq). The relative expression profiles of most candidate genes were consistent with the FPKM of RNA-seq. This study identified the key structural genes encoding enzymes and TFs that affect anthocyanin biosynthesis, which provides a basis and reference for the regulation of plant anthocyanin biosynthesis in I. germanica.
Investigation of the monazite chemical dating technique

In order to evaluate the electron microprobe (EMP) method for chemical dating of monazite, we chemically analyzed selected suites of monazite grains that were previously dated by standard U/Pb isotopic methods at three laboratories each equipped with a sensitive high resolution ion microprobe (SHRIMP). Representing diverse igneous and metamorphic lithologies, these grains yielded conventional isotopic ages ranging in age from Neoarchean to Devonian. Chemical dating was performed at Virginia Tech using a Cameca SX-50 EMP in which the analytical routines and settings were specifically optimized for monazite geochronology, including correction of analytical peaks for all major spectral interferences and correction of peak intensities for local background emission. Placement of cross-grain analytical traverses was based on backscattered electron (BSE) images together with wavelength-dispersive (WD) generated X-ray maps for Y, Th, U, and Ca, which revealed the internal compositional complexity of each grain. Shorter EMP traverses were selected adjacent to each SHRIMP pit in order to provide the best possible comparison of ages obtained by the two dating methods. Synthesis protocol for key elemental measurements (Y, Th, U, and Pb) was developed utilizing the 1σ elemental errors associated with individual analyses, providing an objective approach for data synthesis. Analytical dates were either accepted or excluded based on analytical and spatial justifications. Isotopic dating techniques utilize three independent age calculations, provided the sample is old enough to have accumulated sufficient Pb (i.e., ≥~1000 Ma). Similarly, the chemical dating method can utilize two independent age calculations (i.e., Th/Pb and U/Pb) and a U-Th-Pbtotal centroid age in Th/Pb vs. U/Pb space, verified independently against the calculated Th* or U* CHIME ages. Across the entire 2,200 m.y. age range represented by the sample set, the chemical
The impact of International remittances on Gross Fixed Capital Formation in Kenya: Evidence from an autoregressive distributed lag modelling approach

Abstract Despite the general increase in remittance inflows in Kenya over the last four decades, it remains unknown as to whether part of these remittances forms an integral portion of productive investment in the aggregate economy. We, therefore, examined the impact of foreign remittances on Gross Fixed Capital Formation (GFCF) in Kenya using the ARDL model and time-series data for the period 1980–2020. We also sought to establish the direction of causality between the two variables and whether structural breaks mattered in modeling the remittances-GFCF relationship. First, we found that while remittances significantly reduced GFCF in the short run, their impact was insignificant in the long run. Secondly, the Granger Causality test showed evidence of a uni-directional causality running from remittances to GFCF. Thirdly, structural breaks significantly and positively moderated the remittances-GFCF nexus in Kenya; highlighting the importance of testing for structural breaks when analyzing a remittance-GFCF model. To promote remittance inflows in Kenya, there is a need to develop a robust financial system to facilitate the optimal harnessing of investment benefits accruing from such remittances. Further, and owing to the negative impact of remittances on investment in the short run; remittance-receiving households need to be sensitized on the productive use of remittances to ensure that they are forward-looking and, thus, use their remittances on productive investments as envisaged by pure self-interest and tempered altruistic remittance motives.
3D Printing Technology: an overview of the textile industry

This paper is part of a research that involves the nine technologies of industry 4.0 applied to the textile sector. Here the focus is the literature review made with the SciMAT (Science Mapping Analysis Tool) software. The tool analyzed was the Additive Manufacturing, but the papers showed the term most used is the synonym threedimensional printing. The first time the term appeared in publications was in 2016. This paper will present the steps for implementing additive manufacturing, textile industry applications, as well as advantages and challenges. The results showed that machine adaptations are relatively easy with the introduction of accessories and examples include smart textiles such as electronic parts, seamless or cut fabrics, and even entire parades with all parts made on the 3D printer. However, it is still necessary to develop models that adapt to different bodies, adjusting with greater flexibility, improving the production process through an automatic selection of needles.
MORPHOLOGICAL RESPONSE TO A CUT-CHANNEL IN A TIDAL CHANNEL-RIDGE SYSTEM

Tieshan Bay is located on the coast of Guangxi Provi nce, southwest China, in which a large-scale channel -shoal system has been present. To supply coal to a thermal-power plant on the middle western coast a navigation cha nnel has used the flood & ebb tidal channels and cut across the shoal between them in 2004; in addition, two-stage dredg ings in the access channel to the Tieshan Port and accompanying land reclamation was completed in 2009. To ascertain the stability of the channel-shoal system that might be affected by thes e coastal engineering projects long-term numerical morphological simulation using FVCOM is performed. The results show that the overall stability of the channel-shoal s ystem has not been altered by the cut-channel and dredging activi ties, but the navigation channel could be oriented to adapt to the long-term morphological evolution to reduce the mai ntenance dredging volume to the minimum.
Effect of horizontal resolution of raster DEM on drainage basin characteristics

The use of digital elevation models(DEMs)has made it possible to extract drainage network,calculate and store geomorphic parameters for hydrological modeling at different scales.Raster DEMs are the main data source used in hydrology.The effects of different grid cell sizes of raster DEMs on drainage basin characteristics were evaluated.Eight basins ranging approximately from10 2 km 2 to10 4 km 2 with elevations from129m to2618m in Xiaolangdi and Huayuankou section at the middle reaches of the Yellow River basin were examined in this study.Using DEMs with6different horizontal resolutions with grid cell sizes varying from100m to1000m,basin parameters included those commonly used in hydrology and geomorphology such as area,elevation,slope,channel length,drainage network are extracted and derived.According to the result,grid size affects the accuracy of derived drainage network,especially the case in the flat areas.Slope is more sensitive to the resolution of DEM than the area,the length and the shape is.Because of the different parameters derived from DEMs of different resolutions,the concentration time and lag time thus calculated vary more apparently in the same basin.
Hippocampal Upregulation of Complement Component C3 in Response to Lipopolysaccharide Stimuli in a Model of Fragile-X Syndrome

The complement system is part of the innate immune system and has been shown to be altered in autism spectrum disorder (ASD). Fragile-X syndrome (FXS) is the main genetic cause of ASD and studies suggest a dysregulation in the immune system in patients with the disorder. To assess if an animal model of FXS presents with altered complement signaling, we treated male Fmr1 knockout (KO) mice with lipopolysaccharide (LPS) and collected the hippocampus 24 h later. Assessment of the expression of the complement genes C1q, C3, and C4 identified the upregulation of C3 in both wild-type (WT) and knockout mice. Levels of C3 also increased in both genotypes. Analysis of the correlation between the expression of C3 and the cytokines IL-6, IL-1β, and TNF-α identified a different relationship between the expression of the genes in Fmr1 KO when compared to WT mice. Our findings did not support our initial hypotheses that the lack of the FMR1 gene would alter complement system signaling, and that the induction of the complement system in response to LPS in Fmr1 KO mice differed from wild-type conspecifics.
Tomorrow's landscapes: studies in the after-uses of industrial cutaway peatlands in Ireland.

Florence Renou, School of Biology and Environmental Science, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland. Tel: + 353 1 716 7725 Fax: + 353 1 716 1102, e-mail: florence.renou@ucd.ie Tom Egan, Bord na Mona, Boora, Leabeg, Tullamore, Co. Offaly David Wilson, School of Biology and Environmental Science, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland.
The complete mitochondrial genome of Neolissochilus soroides (Duncker, 1904) (Cypriniformes: Cyprinidae)

Abstract In this paper, we first report the complete mitochondrial genome of Neolissochilus soroides. The main purpose of this study was to determine the mitochondrial genome and phylogenetic status of N. soroides. The length mitogenome was 16584 bp, containing 2 ribosomal RNA genes, 13 protein-coding genes, 22 transfer RNA genes, and 3 non-coding control regions. The genome showed a slight A + T bias (A + T = 56.47%). 12 genes (ND1, COX2, ATP6, ND4L, ND5, ND6, ND2, ATP8, ND3, ND4, Cytb, COX3) start with ATG codon, besides one gene (COX1) start with GTG codon. Six genes (ND1, COX1, ATP6, ND4L, ND5, ND6) end with a TAA codon, 3 genes (ND2, ATP8, ND3) end with a TAG codon, and four genes (COX2, ND4, Cytb, COX3) end with the TA or T codon. The phylogenetic analysis showed that N. soroides was closely related to N. hendersoni. The mitogenome could have important implications for phylogeny, population genetics, and conservation of the N. soroides.
Epigenetic age acceleration is related to cognition and cognitive decline in the Elderly: Results of the Austrian Stroke Prevention Study

Epigenetic clocks, an estimate of biological age based on DNA methylation (DNAmAge) are gaining prominence as potential markers of brain ageing. However, consensus is lacking as the repertoire of DNAmAges expands, particularly concerning their ability to predict age-related cognitive changes. In our cohort of 785 elderly, we examined 11 DNAmAges, evaluating their associations with brain ageing in cross-sectional and longitudinal settings. Our results highlighted DNAmAges as strong predictors of cognitive change compared to baseline cognition, albeit varying performance across cognitive domains. DunedinPACE excelled in predicting baseline cognition, while Zhang's clocks and principal component-based PhenoAge (PCPheno) performed best in predicting cognitive decline. DNAmAges elucidated substantial cognitive variability, matching or surpassing the predictive power of vascular risk factors and ApoE4 genotypes. Notably, in ApoE4 carriers, Zhang's clock and PCPheno exhibited significantly larger effects, explaining over five times the variability in memory decline compared to non-carriers.
In children with transfusion-dependent thalassemia, inflammation and neuronal damage biomarkers are associated with affective and chronic fatigue symptoms.

Background. Patients with transfusion-dependent thalassemia (TDT) are vulnerable to neurotoxicity due to frequent blood transfusions and the subsequent iron overload (IO) and inflammation. As a result, affective (depression and anxiety) and chronic fatigue syndrome (CFS) symptoms may develop. Aims: To investigate the potential association between TDT and neuronal injury, as assessed with serum concentrations of neuronal damage biomarkers, including neurofilament light (NFL), glial fibrillary acidic protein (GFAP), neuron-specific enolase (NSE), and nestin. Methods: We investigated the associations between those CNS injury biomarkers, neuro-immune markers (C-reactive protein (CRP), interleukin (IL)-6, and IL-10), calcium, magnesium, copper and zinc, and the Fibro-Fatigue (FF), the Children's Depression Inventory (CDI), and the Spence Children's Anxiety Scale (SCAS) scores in 126 children with TDT and 41 healthy children. Results. TDT children show significant increases in IO, FF, CDI, and SCAS scores, serum NSE, GFAP, NF-L, CRP, copper, IL-6, and IL-10, and lowered magnesium, zinc, and calcium as compared with healthy children. There were significant correlations between the CDI score and NFL, NSE and GFAP; SCAS score and NFL, and FF score and NFL and GFAP. The neuronal damage biomarkers (except nestin) were significantly associated with inflammatory, erythron (hematocrit and hemoglobin) and IO (iron and ferritin) biomarkers. Conclusions. TDT is characterized by intertwined increases in neuronal injury biomarkers and neuropsychiatric symptoms suggesting that TDT-associated neurotoxicity plays a role in affective symptoms and CFS due to TDT. Inflammation and neurotoxicity are novel drug targets for the prevention of affective symptoms and CFS due to TDT.