392 results match your criteria: "Purdue University Northwest[Affiliation]"

CuO/CuO Nanoparticle-Cotton Fiber Biocomposite Catalyst: Self-Improvement through Morphological Changes during Methyl Orange Degradation.

Langmuir

December 2024

Cotton Quality and Innovation Research Unit, United States Department of Agriculture-Agricultural Research Service, Southern Regional Research Center, 1100 Allen Toussaint Boulevard, New Orleans, Louisiana 70124, United States.

In this study, the application of a novel polymer-supported CuO/CuO nanoparticle catalyst for the efficient degradation of an organic dye, in which the nanoparticle catalyst is incorporated within a natural plant fiber matrix, is presented. The use of plant fibers provides a renewable and environmentally friendly support material, and enhances the catalytic efficiency over consecutive degradation cycles. This innovative design promotes the efficient adsorption and degradation of dye.

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Scholarship is an important topic for the continuation of the discipline of nursing. has asked Dr. John R.

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Article Synopsis
  • The CMS experiment conducted a search for charge-parity violation in decays using proton-proton collision data from 2018, analyzing around 10 billion events with b hadrons decaying into charm hadrons.
  • The flavor of the neutral D meson was determined through the charge of pions in the reconstructed decays, and an asymmetry measurement in the decays was reported, taking into account various uncertainties.
  • This research marks the first asymmetry measurement by the CMS in the charm sector and the first to use a fully hadronic final state in such analyses.
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Article Synopsis
  • The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
  • A special data scouting method is utilized to pick out events with low combined momentum in jets.
  • This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
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Article Synopsis
  • Almonds are vulnerable to a fungal infestation that produces aflatoxins, and this study examined how kernel type, temperature, water activity, and incubation time affect fungal growth and toxin levels.
  • At water activity levels of 0.85, no fungal growth was observed across all kernel types, while split kernels were the only type to support growth at 0.92.
  • The highest levels of aflatoxins were detected in shelled and split almonds at 0.98 water activity and 27 °C, with longer incubation times also leading to increased toxin accumulation.
  • The study suggests that shipping almonds at water activity levels below 0.85 and minimizing storage time can help reduce the risk of fungal infestation and aflatoxin production
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The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

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CFD Modeling of HBI/scrap Melting in Industrial EAF and the Impact of Charge Layering on Melting Performance.

Materials (Basel)

October 2024

Center for Innovation through Visualization and Simulation (CIVS), Steel Manufacturing Simulation and Visualization Consortium (SMSVC), Purdue University Northwest, Hammond, IN 46323, USA.

The melting of scrap and hot briquetted iron (HBI) in an AC electric arc furnace (EAF) is simulated by an advanced 3D computational fluid dynamics (CFD) model that captures the arc heating, the scrap/HBI melting process, and the solid collapse mechanisms. The CFD model is used to simulate a scenario where charge layering and EAF power profiles are provided by a real EAF operation. CFD simulation of the EAF operation shows proper prediction of the charge melting when compared with standard industry practice.

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This study presents a comprehensive performance and forecasting analysis of the As-Samra wastewater treatment plant (WWTP) in Jordan, with two main objectives. Firstly, a thorough evaluation of the plant's performance is conducted. The analysis involves independently assessing historical operational conditions, plant production, and their statistical correlations using various statistical techniques.

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The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.

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Recently, commercial flexible silicon(Si) solar cells have been available for charging batteries and electronic devices. In this research, we present a methodology for determining the critical energy release rate at the EVA/Si cell interface of a flexible silicon solar cell, which can also be applied to other interfaces in solar cells. The outline of procedure is as follows:•Conduct a peeling test at the EVA/Si cell interface of the solar cell sample•Perform a tensile test on the upper layer of the solar cell sample•Execute IC Peel software Peeling force between EVA and Si layer, Young's modulus (E), Yield stress (σ), and Yield strain (ε) of the upper layer critical energy release rate (Gc) between EVA and the silicon (Si) layer.

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In 2022, the American Academy of Neurology (AAN) released an updated clinical practice guideline for the treatment of painful diabetic polyneuropathy. This article synthesizes the AAN recommendations, providing rationales and implementation considerations for them for primary care NP practice.

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fBrake, a Method to Simulate the Brake Efficiency of Laden Light Passenger Vehicles in PTIs While Measuring the Braking Forces of Their Unladen Configurations.

Sensors (Basel)

October 2024

Universidad Carlos III de Madrid, Departamento de Ingeniería Mecánica, Calculation and Transports (MECATRAN), Avenida de la Universidad, 30 (Edificio Sabatini), 28911 Leganés, Spain.

This study introduces fBrake, a novel simulation method now designed for use in periodic technical inspections of M and N vehicle categories, addressing challenges posed by Directive 2014/45/EU. The directive mandates that braking efficiency must be measured relative to the vehicle's maximum mass, which often results in underperformance during inspections due to vehicles typically being unladen. This discrepancy arises because the maximum braking forces are proportional to the vertical load on the wheels, causing empty vehicles to lock their wheels prematurely compared to laden ones.

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Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .

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A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13  TeV, corresponding to an integrated luminosity of 138  fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.

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An overlooked skill for trainees: academic task prioritization and time management.

J Appl Physiol (1985)

October 2024

Department of Biological Sciences, Integrative Physiology and Health Sciences Center, Purdue University Northwest, Hammond, Indiana, United States.

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Karen J. Foli: A Nurse Scholar With an Unconventional Trajectory.

Nurs Sci Q

October 2024

Louise Herrington School of Nursing, Baylor University, Waco, TX, USA.

Nurse scholar Karen J. Foli has had an unconventional trajectory. She has written everything from mysteries to thrillers to peer-reviewed journal manuscripts and Food and Drug Administration documents.

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Background: The Resuscitation Quality Improvement® (RQI) program is a competency-based approach that provides low dose, high frequency cardiopulmonary resuscitation (CPR) skills training. Limited research has evaluated its effectiveness with nursing students who need to be prepared to respond to cardiopulmonary emergencies despite their student status and to be competent in CPR as they transition into practice.

Objective: The objective of this multisite longitudinal study was to examine the maintenance of adult and infant compressions and ventilation skills by nursing students at 3 and 6 months following practice with real-time feedback using the RQI® program.

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Team-Led Empowerment: A Toolkit Enhancing NOWS Care.

J Perinat Neonatal Nurs

September 2024

Author Affiliation: College of Nursing, Purdue University Northwest, Hammond, Indiana.

Background: Individual states are becoming proactive in addressing the gaps in knowledge about newborns experiencing opioid withdrawal syndrome (ie, Neonatal Opioid Withdrawal Syndrome [NOWS]) through interdisciplinary efforts, perinatal learning collaboratives, and quality improvement initiatives.

Methods: Descriptive statistics and a repeated measures analysis of variance were used to analyze the data. The 5-step project implemented a team-led, evidence-based, nursing intervention toolkit.

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Cellulose nanofibril-silver (CNF-Ag) hybrid and ultralight silver-infused aerogel were produced using cotton gin trash (CGT), an abundant agro-waste material. This repurposing of CGT was achieved by exploiting its potential for CNF extraction and the in situ synthesis of silver nanoparticles (Ag NPs). CNFs were extracted from CGT through a mechanical shearing process.

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Article Synopsis
  • Demand for computing power in major scientific experiments, like the CMS at CERN, is expected to significantly increase over the coming decades.
  • The implementation of coprocessors, particularly GPUs, in data processing workflows can enhance performance and efficiency, especially for machine learning tasks.
  • The Services for Optimized Network Inference on Coprocessors (SONIC) approach allows for improved use of coprocessors, demonstrating successful integration and acceleration of workflows across various environments without sacrificing throughput.
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Energy correlators that describe energy-weighted distances between two or three particles in a hadronic jet are measured using an event sample of sqrt[s]=13  TeV proton-proton collisions collected by the CMS experiment and corresponding to an integrated luminosity of 36.3  fb^{-1}. The measured distributions are consistent with the trends in the simulation that reveal two key features of the strong interaction: confinement and asymptotic freedom.

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A measurement is presented of a ratio observable that provides a measure of the azimuthal correlations among jets with large transverse momentum . This observable is measured in multijet events over the range of - based on data collected by the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 , corresponding to an integrated luminosity of 134 . The results are compared with predictions from Monte Carlo parton-shower event generator simulations, as well as with fixed-order perturbative quantum chromodynamics (pQCD) predictions at next-to-leading-order (NLO) accuracy obtained with different parton distribution functions (PDFs) and corrected for nonperturbative and electroweak effects.

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Investigating fundamental processes in biology requires the ability to ground broad questions in species-specific natural history. This is particularly true in the study of behavior because an organism's experience of the environment will influence the expression of behavior and the opportunity for selection. Here, we provide a review of the natural history and behavior of burying beetles of the genus to provide the groundwork for comparative work that showcases their remarkable behavioral and ecological diversity.

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