Miracle-dz/UniFAR-FTUs huggingface dataset:
Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling

Accurately identifying faults in rolling bearing systems by analyzing vibration signals, which are often nonstationary, is challenging. To address this issue, a new approach based on complementary ensemble empirical mode decomposition (CEEMD) and time series modeling is proposed in this paper. This approach seeks to identify faults appearing in a rolling bearing system using proper autoregressive (AR) model established from the nonstationary vibration signal. First, vibration signals measured from a rolling bearing test system with different defect conditions are decomposed into a set of intrinsic mode functions (IMFs) by means of the CEEMD method. Second, vibration signals are filtered with calculated filtering parameters. Third, the IMF which is closely correlated to the filtered signal is selected according to the correlation coefficient between the filtered signal and each IMF, and then the AR model of the selected IMF is established. Subsequently, the AR model parameters are considered as the input feature vectors, and the hidden Markov model (HMM) is used to identify the fault pattern of a rolling bearing. Experimental study performed on a bearing test system has shown that the presented approach can accurately identify faults in rolling bearings.
Obtaining an Array of Closely Packed Mesoscale Spheres Using Dielectrophoresis Forces for Optical Super-Resolution Microscopy

We reported on the proof of the concept of dielectric mesoscale particle array-based cover glass for optical super-resolution microscopy. The limited field of view is a limitation of ultra-high resolution microscopy based on single mesoscale particles. Using the forces of dielectrophoresis, we placed an ordered mesoscale spheres array over the sample and overcame this limitation using. A dielectrophoresis force acted on the mesoscale sphere electric dipole, which has set the particle into the forward motion due to an induced dipole moment formed in the volume of such particle placed in an inhomogeneous alternating electric field. The latex spheres were placed into the gap between the electrodes of the measuring cell. After the application of an electric field, the microspheres were grouped into arrays of densely spaced particles. The preliminary experiments confirmed the possibility of organizing an array of densely packed mesoscale particles under the action of dielectrophoresis force. The results obtained can be used for various applications in ultra-high resolution microscopy with extended functionality.
The Use of Simulation with Machine Learning and Optimization for a Digital Twin-A Case on Formula 1 DSS

The implementation of a digital twin presents a challenging environment for simulation. One challenge is the need for fast execution speed to maintain synchronization with the real system. When providing predictive outcomes, the complementary use of simulation with machine learning and optimization software may be employed to achieve this aim. The article investigates the use of simulation, machine learning and optimization in terms of providing a digital twin capability. The article presents a case on Formula 1 or F1 competition, where a decision support system (DSS) framework is presented to explore a digital twin capability.
Perturbed Sierpinski multiband fractal antenna with improved feeding technique

This paper describes the multiband behavior of a series of perturbed fractal Sierpinski gasket antennas. Sierpinski gaskets, with periodic ratios of 0.5, 0.65, and 0.75 were fabricated and tested. Two methods are presented that improve the inherently poor input impedance match of the antenna with a 50 /spl Omega/ port. Theoretical simulation is used to give an insight into the field distribution of the antenna as the perturbing ratio varies. Different properties and merits of the antenna due to perturbation were noted. These improved feeding methods will allow further flexibility to the application of these multiband antennas.
Deglaciation and postglacial evolution of the Cère Valley (Cantal, French Massif Central) based on geomorphological mapping, 36Cl surface exposure dating and glacier modelling

The landform assemblage in the Cère Valley (Cantal, France) provides one of the most complete sequences for Late Pleistocene glacial fluctuations in the French Massif Central. However, the associated glacial chronology has been debated since the 1980s. This paper aims to improve the glacial chronology of the Cère Valley using 36Cl surface exposure ages. Geomorphological results define two glacier stadials with reconstructed equilibrium line altitudes of 1078 ± 43 and 1152 ± 34 m above sea level. These results are comparable to those obtained in the Alps or the Pyrenees during the Last Glacial Maximum (26–19.5 ka). However, 36Cl surface exposure ages are centred around the Younger Dryas (YD), between 13 and 11 ka (n = 4). We suggest that these 36Cl ages are not related to a standstill during the YD but rather to the effects of the postglacial evolution of the Cère Valley. We investigate two geomorphological end‐member scenarios to explain the postponed exposure of sampled boulders: the Aurillac Lake scenario and the later fluvial incision scenario. While the nature of the geomorphological events leading to the boulder exhumation is not fully resolved, we highlight a long phase of postglacial evolution in the Cère Valley.
Deficiency of S100A9 Alleviates Sepsis-Induced Acute Liver Injury through Regulating AKT-AMPK-Dependent Mitochondrial Energy Metabolism

Acute liver injury (ALI) is recognized as a serious complication of sepsis in patients in intensive care units (ICUs). S100A8/A9 is known to promote inflammation and immune responses. However, the role of S100A8/A9 in the regulation of sepsis-induced ALI remains known. Our results indicated that S100A8/A9 expression was significantly upregulated in the livers of septic mice 24 h after cecal ligation and a puncture (CLP) operation. Moreover, S100A9-KO in mice markedly attenuated CLP-induced liver dysfunction and injury, promoting the AMPK/ACC/GLUT4-mediated increases in fatty acid and glucose uptake as well as the improvement in mitochondrial function and ATP production. In contrast, treatment with the AMPK inhibitor Compound C reversed the inhibitory effects of S100A9 KO on CLP-induced liver dysfunction and injury in vivo. Finally, the administration of the S100A9 inhibitor Paquinimod (Paq) to WT mice protected against CLP-induced mortality, liver injury and mitochondrial dysfunction. In summary, our findings demonstrate for the first time that S100A9 plays an important pro-inflammatory role in sepsis-mediated ALI by regulating AKT-AMPK-dependent mitochondrial energy metabolism and highlights that targeting S100A9 may be a promising new approach for the prevention and treatment of sepsis-related liver injury.
500-FS PHOTOELECTRON GUN FOR TIME-RESOLVED ELECTRON DIFFRACTION EXPERIMENTS

A photoelectron gun as a source of a photoinduced, monoen- ergetic (energy spread ,0.5 eV), well-collimated (divergence ,0.5 deg), sharp (diameter ,0.7 mm at the 1/e level), and ultrashort (<500 fs) bunch of electrons to be used for time-resolved electron diffraction (TRED) experiments is computer designed, assembled, and tested. In single-shot mode, it generates up to 10 3 of 30 keV electrons, and the electron pulse can be either measured in streak mode or focused onto a solid state target chosen from a set of interchangeable targets. High temporal resolution enables measurement with femtosecond precision of the diffraction pattern perturbation after the exiting laser radiation drops onto a target. Demonstration experiments with a 300-A A1 target in transmission-type mode result in diffraction images of reasonable quality under accumulation of up to 4310 4 500-fs photoelectron pulses. © 1998 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(98)00508-X)
Analysis of Home Healthcare Practice to Improve Service Quality: Case Study of Megacity Istanbul

Home healthcare services are public or private service that aims to provide health services at home to socially disadvantaged, sick, needy, disabled, and elderly individuals. This study aims to increase the quality of home healthcare practice by analyzing the factors affecting it. In Megacity Istanbul, data from 1707 patients were used by considering 14 different input variables affecting home healthcare practice. The demographic, geographic, and living conditions of patients and healthcare professionals who take an active role in home healthcare practice constituted the central theme of the input parameters of this study. The regression method was used to look at the factors that affect the length of time a patient needs home healthcare, which is the study’s output variable. This article provides short planning times and flexible solutions for home healthcare practice by showing how to avoid planning patient healthcare applications by hand using methods that were developed for home health services. In addition, in this research, the AB, RF, GB, and NN algorithms, which are among the machine learning algorithms, were developed using patient and personnel data with known input parameters to make home healthcare application planning correct. These algorithms’ accuracy and error margins were calculated, and the algorithms’ results were compared. For the prediction data, the AB model showed the best performance, and the R2 value of this algorithm was computed as 0.903. The margins of error for this algorithm were found to be 0.136, 0.018, and 0.043 for the RMSE, MSE, and MAE, respectively. This article provides short planning times and flexible solutions in home healthcare practice by avoiding manual patient healthcare application planning with the methods developed in the context of home health services.
Tautomeric Equilibrium in 1-Benzamidoisoquinoline Derivatives

In this study, the tautomeric equilibrium of a sequence of 1-benzamidoisoquinoline derivatives was investigated with the tools of NMR spectroscopy and computational chemistry. The equilibrium between different tautomers in these systems could be controlled via the substitution effect, and the relative content of the amide form varied from 74% for the strong electron-donating NMe2 substituent to 38% for the strong electron-accepting NO2 group in the phenyl ring. In contrast to the previously investigated 2-phenacylquinoline derivatives, the most stable and thus most abundant tautomer in the 1-benzamidoisoquinoline series except the two most electron-accepting substituents was an amide. The intramolecular hydrogen bond present in the enol tautomer competed with the intermolecular hydrogen bonds created with the solvent molecules and thus was not a sufficient factor to favor this tautomer in the mixture. Although routinely computational studies of tautomeric equilibrium are performed within the continuum solvent models, it is proven here that the inclusion of the explicit solvent is mandatory in order to reproduce the experimental tendencies observed for this type of system, facilitating strong intermolecular hydrogen bonds.
Comparison between the TOPAZ Airborne Ozone Lidar and In Situ Measurements during TexAQS 2006

AbstractThe NOAA airborne ozone lidar system [Tunable Optical Profiler for Aerosol and Ozone (TOPAZ)] is compared with the fast-response chemiluminescence sensor flown aboard the NOAA WP-3D during the 2006 Texas Air Quality Study (TexAQS). TOPAZ measurements made from the NOAA Twin Otter, flying at an altitude of ~3300 m MSL in the Houston, Texas, area on 31 August, and the Dallas, Texas, area on 13 September, show that the overall uncertainty in the 10-s (~600-m horizontal resolution) TOPAZ profiles is dominated by statistical uncertainties (1σ) of ~8 ppbv (6%–10%) at ranges of ~2300 m from the aircraft (~1000 m MSL), and ~11–27 ppbv (12%–30%) at ranges of ~2800 m (~500 m MSL). These uncertainties are substantially reduced by spatial averaging, and the averages of 11 profiles (of 110 s or 6.6-km horizontal resolution) at ~1000 m MSL are in excellent agreement (±2%) with the in situ measurements at ~500 m MSL. The TOPAZ measurements at lower altitudes on 31 August exhibit a negative bias of up to ~15%, ho.
Joining the right queue: a state-dependent decision rule

The problem of assigning customers to one of several parallel queues so as to minimize the average time spent in the system (sojourn time) is studied as a Markov decision process. It is shown how the approach developed by K.R. Krishman and T.J. Ott (Proc. 25th IEEE Conf. Decision Contr. Dec. 1986, p.2124-8) to investigate state-dependent routing of voice traffic for blocking minimization can also be used for sojourn minimization for data traffic. For queues in parallel, this approach produces a rule, called the 'separable' rule, which is a generalization of the 'join the shortest queue' rule to the case of dissimilar queues, reducing to the shortest queue rule when the queues are all alike. Numerical results show that in cases where the queues are dissimilar in both the service rates and numbers of their servers, the separable rule is strikingly superior to the shortest queue rule; if the dissimilarities are limited to differences in the service rates, the separable rule practically always is better than the shortest queue rule; if the dissimilarities consist only of the numbers of servers being different, then the shortest queue rule does better than the separable rule in most instances. >
The test beams of the T2K TPC

T2K is a long baseline neutrino experiment that will search for Vμ → ve oscillation. A near detector complex (ND280) will be installed at 280 meters from the neutrino production point and will be used to measure the neutrino energy spectrum, flavor content and neutrino cross-sections of the unoscillated neutrino beam. ND280 includes three large TPCs based on bulk-MicroMegas technology as readout device. Performances of bulk-MicroMegas modules with an Ar/iC4H10/CF4 (95/2/3) gas mixture are presented. First results of beam tests performed with the first T2K/TPC are also discussed and in particular measurements of the deposited energy resolution and particle identification capability of the TPC will be presented.
Mitigation of Voltage and Frequency Excursions in Low-Inertia Microgrids

Power systems proliferated by distributed generation sources are becoming increasingly prone to frequency and voltage disturbances. These problems are exacerbated in microgrids since they have fewer intrinsic disturbance-rejecting measures and features. To increase the reliability and stability of emerging power systems, the advanced control structures of the distributed generation sources based on power electronics devices must be deployed during suboptimal operating conditions. The aggravating circumstance is that both voltage and frequency excursion can be transient and long-lasting and consequently can occur simultaneously. The algorithm proposed in this paper integrates voltage support (nominal voltage restoration) and inertia emulation features with the comprehensive current references management scheme, thus securing improved grid operating conditions during several different faults and occurrences. The control algorithm is developed and tested in the context of a small microgrid, but it can be applied with minimal alterations in traditional grids, also. To prove that it is possible to decrease simultaneously voltage unbalances and frequency deviations, a test microgrid consisting of a synchronous generator, photovoltaic system, battery storage system, and controllable balanced and unbalanced loads was developed in a hardware-in-the-loop environment.
Lignocellulose Biomass Liquefaction: Process and Applications Development as Polyurethane Foams

One of the main strategies for sustainable human society progress is the development of efficient strategies to limit waste production and maximize renewable resource utilization. In this context, this review highlights the opportunity to transform vegetable biomass residues into valuable commercial products. Biomass conversion entails the depolymerization of lignocellulosic biomass towards biopolyols and the synthesis and characterization of the valuable products obtained by using them. The influence of the reaction parameters in both acid and basic catalysis is highlighted, respectively the influence of microwaves on the liquefaction reaction versus conventional heating. Following the depolymerization reaction, polyols are employed to produce polyurethane foams. As a special characteristic, the addition of flame-retardant properties was emphasized. Another interesting topic is the biodegradability of these products, considering the negative consequences that waste accumulation has on the environment.
Effect of Inoculating Two Bacteriocin-Producing Lactiplantibacillus plantarum Strains at Ensiling on In Vitro Rumen Fermentation and Methane Emissions of Alfalfa Silage with Two Dry Matter Contents

Simple Summary Developing alternative antibiotics is crucial for sustainable animal production worldwide. Bacteriocin has been considered a potential alternative to antibiotics due to its lack of drug resistance, lack of residues, and environmental friendliness. In this study, we investigated the effects of inoculating two bacteriocin-producing strains, Lactiplantibacillus plantarum ATCC14917 and LP1-4, at ensiling on the in vitro ruminal fermentation characteristics and methane emissions of alfalfa silage with two different dry matter contents (355 g/kg fresh weight, moderate dry-matter content; 428 g/kg fresh weight, high dry-matter content). The results showed that inoculating with ATCC14917 and LP1-4 at ensiling reduced in vitro rumen methane production and enhanced the dry matter digestibility of ensiled alfalfa. Therefore, bacteriocin-producing L. plantarum ATCC14917 and LP1-4 inoculants can potentially mitigate ruminal methane emissions but without an adverse effect on the rumen fermentation of the inoculated alfalfa silage. Abstract The objective of this study was to investigate the effects of inoculating two bacteriocin-producing strains, Lactiplantibacillus plantarum ATCC14917 and LP1-4, at ensiling on the in vitro ruminal fermentation characteristics and methane production of alfalfa silage with two dry matter (DM)contents. Before ensiling, fresh alfalfa was wilted to a moderate DM content (355 g/kg) and a high DM content (428 g/kg). The wilted alfalfa was treated with (1) distilled water (control), (2) commercial strain L. plantarum MTD/1 (MTD/1), (3) bacteriocin-producing L. plantarum ATCC14917 (ATCC14917), and (4) a bacteriocin-like substance producing L. plantarum LP1-4 (LP1-4) at 1 × 105 colony forming units (CFU)/g fresh weight. After 90 d of ensiling, the silages were used for in vitro rumen fermentation. Inoculation with the two bacteriocin-producing strains at ensiling remarkably reduced (p < 0.05) in vitro ruminal CH4 production and enhanced DM digestibility compared with the control group regardless of DM content. For silages with high DM content, inoculation with the bacteriocin-producing strains even increased (p < 0.05) in vitro ruminal total volatile fatty acid production. Therefore, the bacteriocin-producing inoculants have a great potential to mitigate ruminal methane emission but without an adverse effect on rumen fermentation of the inoculated alfalfa silage.
Extraction and Prediction of User Communication Behaviors From DNS Query Logs Based on Nonnegative Tensor Factorization

Owing to the critical role of the domain name system (DNS), its query log data are utilized for various network monitoring purposes. With the diversification of network services, these data have become increasingly complex, making mining useful information challenging. DNS query log data can be considered as the superposition of two types of communication patterns: groups of domains accessed simultaneously (e.g., ad servers and content delivery network (CDN) servers) and time-series access patterns based on user behavior characteristics (e.g., access trends during the night). However, previous studies have not focused on extracting both access patterns hidden in the data. This study proposes a method that extracts both patterns of accessed domains and temporal access patterns as user communication behaviors from DNS query log data and predicts future accesses based on these patterns. The proposed method first aggregates similar fully qualified domain names (FQDNs) associated with the same service. We then present temporal regularized nonnegative tensor factorization (TR-NTF) that extracts both access patterns from a third-order tensor expressing DNS query log data and enables prediction. We evaluate the proposed method using synthetic and actual data and demonstrate that it successfully extracts hidden communication patterns and achieves sufficient prediction accuracy.
FRIB cryogenic distribution system

The Michigan State University Facility for Rare Isotope Beams (MSU-FRIB) helium distribution system has been revised to include bayonet/warm valve type disconnects between each cryomodule and the transfer line distribution system, similar to the Thomas Jefferson National Accelerator Facility (JLab) and the Spallation Neutron Source (SNS) cryogenic distribution systems. The heat loads at various temperature levels and some of the features in the design of the distribution system are outlined. The present status, the plans for fabrication, and the procurement approach for the helium distribution system are also included.
Determination of Biochemical Parameters and Growth Response of Clarias gariepinus Fingerlings Fed with Cirina forda Larvae and Telfaria occidentalis Leaves and their roximate Composition

The mainpurpose of this research is to investigate the biochemical parameters and growth response of Clarias gariepinus fingerlings fed with Cirina forda larvae and Telfaria occidentalis and the proximate composition of the two leaves. Grounded meals of C. forda larvae and T. occidentalis leaves were administered on C. gariepinus fingerlings at percentage ratio labelled A – H for ten weeks. Each treatment had three replicates and stocked with 10 fingerlings per replicate in 50-litres plastic tank and were fed daily. Blood samples from three randomly selected fish per treatment were obtained and were used to determine biochemical parameters such as Glucose, Cholesterol, Creatinine, Total protein, Alkaline Phosphatase (ALP), Albumin, Serum Glutamic Oxaloacetic Transaminase (SGOT) and Serum Glutamic Pyruvic Transaminase (SGPT) respectively using standard laboratory procedures. Blood samples for the analysis were collected in Lithium heparinized bottles to avoid clotting. Seven growth parameters; Final body weight (FBW), Body weight gain (BW), Specific growth rate (SGR), Feed Conversion Ratio (FCR), Growth rate (GR), Relative growth rate (RGR), and % Survival rate were determined using their respective formulas. The mean ranges of 23.00 - 60.00 mg/dl, 96.67 – 113.67 mg/dl, 1.10 – 1.60 mg/dl, 3.5 – 5.5 mg/dl and 2.03 - 2.70 mg/dl were obtained for glucose, cholesterol, creatinine, total protein, and albumin. Each mean range did not exceed its respective control value and also fell within the normal physiological range for fish. Diets (A, C, D, E, F and G) had lower SGOT mean range of 238.00 – 360.33 Mmol/l was observed as compared to their control values. Diets that lack C. forda were (E, F, G and H) and each group recorded higher SGPT values than the control. Growth parameters values were highly significant (p<0.05) to those of their respective control values. The present study showed that the compounded diet stand a better chance of replacing conventional fish meal due to their impact on fish performances. However, there were significant differences (p<0.05) in moisture, ash and carbohydrate contents of experimental diets. This study has shown that compounded diets containing C. forda larvae and T. occidentalis leaves elicited comparable values to the conventional feeds.