The rolling bearing is a vital part used in different rotating electrical devices. Detecting defects in bearings is crucial for the safe operation of these machines. However, it is challenging to use ...Deep Learning techniques to identify bearing defects when the machine is not under load. To resolve this issue, this paper presents the Constant-Q Non-stationary Gabor Transform with enhanced Inception ResNet-V2, proposed for the early-stage classification of ball bearing faults in induction motors. The proposed model obtained the vibration images, i.e. time-frequency images of unfiltered vibration signals from the laboratory experimental setup. These images are applied to the proposed model, which classifies the ball bearing faults under various load conditions while adjusting its hyperparameter values instead of employing default ones. Furthermore, the model underwent training using k-fold method to assess its resilience with the use of optimal values obtained from hyperparameter tuning. The model is evaluated by performance metrics like F1-score, Recall, Precision, Confusion Matrix and Training time. The proposed model accomplished an average classification accuracy of 99.84% in low load and full load conditions within a few epochs. Ultimately, when compared to Inception-V4 and ResNet-50, which achieved 91.41% and 91.65%, respectively, the experimental findings unambiguously demonstrate the superior performance of the proposed model over both models.
Four multiresponsive and self-sustaining metallogels were synthesized by the reaction of the disodium salt of the ligand carboxymethyl-(3,5-di-tert-butyl-2-hydroxy-benzyl)amino acetic acid with ...Cd(II) and Zn(II) halides, which were found to show excellent selectivity for dye adsorption and separation, and one of the gels shows a rare self-healing property.
The Smart Grid operates autonomously, facilitating the smooth integration of diverse power generation sources into the grid, thereby ensuring a continuous, reliable, and high-quality supply of ...electricity to end users. One key focus within the realm of smart grid applications is the Home Energy Management System (HEMS), which holds significant importance given the fluctuating availability of generation and the dynamic nature of loading conditions. This paper presents an overview of HEMS and the methodologies utilized for load forecasting. It introduces a novel approach employing Quantum Support Vector Machine (QSVM) for predicting periodic power consumption, leveraging the AMPD2 dataset. In the establishment of a microgrid, various factors such as energy consumption patterns of household appliances, solar irradiance, and overall load are taken into account in dataset creation. In the realm of load forecasting in Home Energy Management Systems (HEMS), the Quantum Support Vector Machine (QSVM) stands out from other methods due to its unique approach and capabilities. Unlike traditional forecasting methods, QSVM leverages quantum computing principles to handle complex and nonlinear electricity consumption patterns. QSVM demonstrates superior accuracy by effectively capturing intricate relationships within the data, leading to more precise predictions. Its ability to adapt to diverse datasets and produce significantly low error values, such as RMSE and MAE, showcases its efficiency in forecasting electricity load consumption in smart grids. Moreover, the QSVM model’s exceptional flexibility and performance, as evidenced by achieving an accuracy of 97.3% on challenging datasets like AMpds2, highlight its distinctive edge over conventional forecasting techniques, making it a promising solution for enhancing forecasting accuracy in HEMS.The article provides a brief summary of HEMS and load forecasting techniques, demonstrating and comparing them with deep learning models to showcase the efficacy of the proposed algorithms.
A
bstract
New experiments dealing with neutrinos in the far-forward region at the Large Hadron Collider (LHC) are under design or already in preparation. Two of them, FASER
ν
and SND@LHC, are ...expected to be active during Run 3 and have the potential to detect the interactions of
ν
and
ν
¯
that come from high-energy collisions in one of the LHC interaction points, extracted along the direction tangent to the beam line. Tau neutrinos and antineutrinos come predominantly from
D
s
±
production in
pp
collisions, followed by the leptonic decay of these mesons. Neutrino pseudorapidities in the range of
η >
6
.
9 and
η >
8
.
9 are relevant to these future experiments. At such pseudorapidities at high energies, QCD theoretical predictions for the flux of
ν
τ
plus
ν
¯
τ
rely on parton distribution functions (PDFs) in a combination of very small and large parton
−x
values. We evaluate PDF un certainties affecting the flux of
ν
τ
+
ν
¯
τ
produced by
D
s
±
decay in the far forward region at the LHC. Next-to-leading order (NLO) QCD uncertainties are included in the calculation of
D
s
±
production and NLO PDF sets are used for consistency. The theoretical uncertainty associated with the 40 PDF sets of the PROSA19 group amounts to
±
(20
−
30)% for the (
ν
τ
+
ν
¯
τ
) number of charged-current (CC) events. Scale uncertainties are much larger, resulting in a range of CC event predictions from ~70% lower to ~90% higher than the central prediction. A comparison of the predictions with those obtained using as input the central PDFs from the 3-flavour NLO PDF sets of the CT14, ABMP16 and NNPDF3.1 collaborations show that far-forward neutrino energy distributions vary by as much as a factor of ~2 – 4 relative to the PROSA19 predictions at TeV neutrino energies. The Forward Physics Facility in the high luminosity LHC era will provide data capable of constraining NLO QCD evaluations with these PDF sets.
Isoquinoline alkaloids are a large group of natural products in which 1,2,3,4-tetrahydroisoquinolines (THIQ) form an important class. THIQ based natural and synthetic compounds exert diverse ...biological activities against various infective pathogens and neurodegenerative disorders. Due to these reasons, the THIQ heterocyclic scaffold has garnered a lot of attention in the scientific community which has resulted in the development of novel THIQ analogs with potent biological activity. The present review provides a much-needed update on the biological potential of THIQ analogs, their structural-activity relationship (SAR), and their mechanism of action. In addition, a note on commonly used synthetic strategies for constructing the core scaffold has also been discussed.
This review provides critical insights into the biological activities and Structure-Activity Relationship (SAR) studies of tetrahydroisoquinoline (THIQ) analogs.
Ten novel isatin Schiff base analogs have been designed using a combination of isatin, hydrazine hydrate, and para-dimethylaminobenzaldehyde. Molecular docking studies have been performed to study ...the binding interactions of the designed compounds with COX-2 protein as a target (PDB code: 3LN1). The ten novel 3-({p-dimethylamino}benzylidenehydrazinylidene)-1,3-dihydro-2H-indole-2-one derivatives (IIIa-IIIj) were synthesized. Structures of all compounds were elucidated by using IR,
H NMR, and mass spectra. The compounds which have docked to the COX-2 protein with good score have been investigated for their anti-inflammatory activity using carrageenan-induced rat paw edema method. Compounds IIIe, IIIf, IIIg, IIIh, and IIIi showed anti-inflammatory activity at 100 mg/kg compared with the standard drug indomethacin at 10 mg/kg. Out of these compounds, IIIe, IIIf, and IIIg showed a good anti-inflammatory activity. Thus, the synthesized compounds could be considered as a new anti-inflammatory hit for further lead optimization.
A
bstract
The high-energy atmospheric neutrino flux is dominated by neutrinos from the decays of charmed hadrons produced in the forward direction by cosmic ray interactions with air nuclei. We ...evaluate the charm contributions to the prompt atmospheric neutrino flux as a function of the center-of-mass energy
s
of the hadronic collision and of the center-of-mass rapidity
y
of the produced charm hadron. Uncertainties associated with parton distribution functions are also evaluated as a function of
y
. We find that the
y
coverage of LHCb for forward heavy-flavour production, complemented by the angular coverage of present and future forward neutrino experiments at the LHC, bracket the most interesting
y
regions for the prompt atmospheric neutrino flux. At
s
= 14 TeV foreseen for the HL-LHC phase, nucleon collisions in air contribute to the prompt neutrino flux prominently below
E
ν
~ 10
7
GeV. Measurements of forward charm and/or forward neutrinos produced in hadron collisions up to
s
= 100 TeV, which might become possible at the FCC, are relevant for the prompt atmospheric neutrino flux up to
E
ν
= 10
8
GeV and beyond.
Two flexible tetracarboxylic acids with ether (H4AOIA) and amine (H4ANIA) linkages have been employed for the formation of two distinct Co-metal–organic frameworks (MOFs) with diverse architectures. ...Both the MOFs were shown to demonstrate remarkable catalytic activities for the chemical conversion of CO2 into cyclic carbonates under ambient reaction conditions with considerably high turnover number values. Further, carbonization of the two-dimensional-MOF, Co-ANIA, under inert atmospheric conditions at a temperature of 800 °C resulted in the formation of cobalt containing N-doped nanocomposite (Co@NPC2). In the context of generation of a sustainable source of energy and to carry out successive conversions, the single-component nanocomposite, Co@NPC2, was shown to act as an efficient cost-effective non-noble metal electrocatalyst through its electrochemical activity toward hydrogen evolution.
In children with congenital heart disease, extubation readiness testing (ERT) is performed to evaluate the potential for liberation from mechanical ventilation. There is a paucity of data that ...suggests what mechanical ventilation parameters are associated with successful ERT. We hypothesized that ERT success would be associated with certain mechanical ventilator parameters.
Data on daily ERT assessments were recorded as part of a quality improvement project. In accordance with our respiratory therapist-driven ventilator protocol, patients were assessed daily for ERT eligibility and tested daily, if eligible. Mechanical ventilation parameters were categorized a priori to evaluate the differences in levels of respiratory support. The primary outcome was ERT success.
A total of 780 ERTs from 320 subjects (median interquartile range age 2.5 0.6-6.5 months and median weight interquartile range 4.2 3.3-6.9 kg) were evaluated. A total of 528 ERTs (68%) were passed, 306 successful ERTs (58%) resulted in extubation, and 30 subjects (9.4%) were re-intubated. There were statistically significant differences in the ERT pass rate for ventilator mode, peak inspiratory pressure, Δ pressure, PEEP, mean airway pressure (Formula: see text), and dead-space-to-tidal-volume ratio (all
< .001) but not for Formula: see text. ERT success decreased with increases in peak inspiratory pressure, Δ pressure, PEEP, Formula: see text, and dead-space-to-tidal-volume ratio. Logistic regression revealed neonates, Δ pressure ≥ 11 cm H
O, and Formula: see text > 10 cm H
O were associated with a decreased odds of ERT success, whereas children ages 1-5 years and an Formula: see text of 0.31-0.40 had increased odds of ERT success.
ERT pass rates decreased as ventilator support increased; however, some subjects were able to pass ERT despite high ventilator support. We found that Formula: see text was associated with ERT success and that protocols should consider using Formula: see text instead of PEEP thresholds for ERT eligibility. Cyanotic lesions were not associated with ERT success, which suggests that patients with cyanotic heart disease can be included in ERT protocols.
Development of non-toxic, ultra-sensitive, and flexible bio-inspired piezoelectric nanogenerator has become a great challenge for next generation biomedical applications. High performance ...organic/inorganic materials based piezoelectric nanogenerators suffer from several unavoidable problems such as complex synthesis and high toxicity. Biodegradable and biocompatible piezoelectric material is utmost needed in in-vivo condition to harvest energy for biomedical applications. Here, we report a novel bio-piezoelectric nanogenerator (BPNG) using naturally abundant self-aligned cellulose fibrous untreated onion skin (OS) as efficient piezoelectric material having piezoelectric strength of ∼ 2.8 pC/N. The fabricated OSBPNG generated output voltage, current, instantaneous power density and high piezoelectric energy conversion efficiency of ≈ 18V, ≈ 166nA, ≈ 1.7μW/cm2, and ≈ 61.7%, respectively, and turn on 30 green LEDs by a single device under repeated compressive stress of ≈ 34kPa and ≈ 3.0Hz frequency. In addition, maximum output voltage (≈ 106V) was achieved when 6 units are connected in series, which instantaneously turns on 73 combined LEDs (30 green, 25 blue, and 18 red). OSBPNG is highly effective during throat movement such as coughing, drinking and swallowing. Furthermore, because it works at very low pressure originating from heart pulse or beat, it could be used in pacemakers and health care units. Finally, OSBPNG successfully differentiates speech signals, indicating its potential for speech recognition.
Naturally driven bio-waste and biocompatible onion skin base piezoelectric nanogenerator with high output performance (output voltage and area power density of ≈ 18V, and ≈ 1.7μW/cm2) and high energy conversion efficiency (≈ 61.7%) has been fabricated through simple homespun device fabrication method. More details on the materials and application can be found in the manuscript. Display omitted
•Novel homespun approach for bio-piezoelectric nanogenerator (OSBPNG) using onion skin.•Plant materials are more useful than living creatures in both handling and supply.•It works at low pressure even from heart pulse, that can be used in health care unit.•OSBPNG shows output voltage of 18 V with high energy conversion efficiency (61.7%).•Maximum output voltage (106 V) achieved by assembling 6 units, which turn on 73 LEDs.
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