bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification Method of Top Plate Pallet of Underground Roadways in Coal Mines Based on Improved Faster R-CNN
Authors: Ma Lisen , Tian Yuan , Li Chengcheng 
Published: May 2024

Abstract

Pallets are an important feature in intelligent coal mine applications based on machine vision technology such as coal mine roadway roof monitoring and automatic equipment positioning, where whether pallets can be accurately identified is the key to such application technology. A roof pallet recognition method based on improved Faster R-CNN is designed. Firstly, the ResNet50 network with better feature extraction effect is selected to replace the VGG16 feature extraction network in the original Faster R-CNN model; Secondly, according to the aspect ratio of pallets and incomplete pallets, the candidate box size in the region suggestion network is optimized based on K-means++ clustering algorithm to fit the pallet size, so that the model can accurately locate the borders; finally, for the coal mine underground environment, low visibility and other problems that affect the pallet is difficult to be detected, the attention mechanism module is introduced in the feature extraction network ResNet50 to enhance the saliency of the pallet in the image and strengthen the attention of the network to the pallet, thus improving the efficiency and accuracy of pallet detection. In the simulated roadway, the AGV trolley is used to simulate the roadheader, and the tray image is collected by the airborne camera for the test. The proposed algorithm is compared with three classical algorithms. The experimental results show that the improved Faster R-CNN model has good robustness, and the average mean accuracy (mAP) of recognizing pallets is 92.53%, which is 7.59% higher than the original Faster R-CNN network.
Dyskinesia after Levetiracetam Therapy: A Case Report
Authors: Doumiati Hassan , Ezzeddine Ali 
Published: May 2024

Abstract

This is a case report of a 71-year-old female with advanced Parkinson's disease, post-DBS surgery, presenting with uncontrolled jerking movements and impaired consciousness. Upon admission patient was diagnosed with seizure due to a suspected subclinical infection despite negative blood work, MRI and cultures. Patient was treated with Levetiracetam via a loading dose of 40mg/kg and started 500mg twice daily. She was later discharged on Levetiracetam and presented to the clinic 4 days later complaining of progressive dyskinesias prompting its discontinuation and replacement with Lacosamide. The patient's dyskinetic movements significantly improved within 24 hours. Contrary to literature suggesting LEV's anti-dyskinetic effects, this case raises questions about paradoxical hypersensitivity or genetic variations leading to unexpected outcomes. Concurrent Pramipexole use adds complexity, given its distinct mechanism from LEV. This report highlights the importance of vigilance for rare adverse effects in patients with complex neurodegenerative medication regimens. MeSH Terms: Levetiracetam, Dyskinesias, Drug-Related Side Effects and Adverse Reactions, Drug Interactions
Using driver monitoring to estimate readiness in automation: A conceptual model based on simulator experimental data
Authors: Gonçalves Rafael C. , Goodridge Courtney M. , Kuo Jonny , Lenné Mike G. , Merat Natasha 
Published: May 2024

Abstract

This paper provides a theoretical overview of how the concept of driver readiness can be objectively measured, using controlled experimental data. First, a literature review regarding the concept of driver readiness is provided. Then, it highlights challenges for a standardized readiness estimation model. A conceptual readiness estimation model is presented, and a methodology is proposed for defining readiness thresholds for use by Driver State Monitoring (DSM) systems. The paper then explores how this model can be used to estimate readiness thresholds. A proof of concept for the model application is presented, using previously collected experimental involving SAE Level 2 automation. This paper contributes to the state of the art in DSM-development, by providing a methodology for estimating driver readiness, while considering variabilities across individual drivers. The model also allows readiness thresholds to be defined with data from driving simulator experiments, without relying on subjective assessment of readiness as its ground truth.
Stability of Multi-Peptide Vaccines in Conditions Enabling Accessibility in Limited Resource Settings
Authors: Ashkani Emily , McKenna Brian , Bryant Jennifer , Silva Dilza , Sherman Nicholas , Chianese-Bullock Kimberly , Slingluff Craig 
Published: May 2024

Abstract

We have previously shown that lyophilized mixtures of six- and twelve-melanoma peptide vaccines retain stability, purity, and amino acid sequence identity for up to five years when stored at -80°C. However, this temperature requirement presents a significant obstacle to storage and distribution of vaccines for low-resource environments. Thus, we examined the stability of these peptides over a range of temperatures for varying durations of time. When stored at + 4°C or at room temperature for up to one month, 17 of the 18 peptides remained stable. The only change for the remaining peptide was an increase in an oxidized methionine residue. The results presented in this report support broadening the accessibility of these and other peptide-based vaccines to resources-limited communities.
Active vitamin D corrects cerebrovascular dysfunction and aberrant vasopressin expression in the hypertension phenotype of 1α-hydroxylase knockout mice
Authors: Zhang Wei , Hu Yingying , Zhang Luqing , Dong Ping , Li Dongmei , Du Ronghui 
Published: May 2024

Abstract

Background Under hypertensive conditions, vitamin D has a protective effect on the brain. Our previous research showed that 1,25-dihydroxyvitamin D3 [1,25(OH)2D3] negatively regulates hypertension and central renin–angiotensin system activation partly through a central antioxidative mechanism in 1α-hydroxylase knockout [1α(OH)ase–/–] mice. To further confirm whether the endogenous 1,25(OH)2D3 deficiency and exogenous 1,25(OH)2D3 supplementation alter cerebrovascular function and vasopressin expression through antioxidation, we provided 1α(OH)ase–/– mice and their wild-type littermates with normal diet; a high-calcium, high-phosphorus rescue diet with N-acetyl-l-cysteine supplementation; or 1,25(OH)2D3 subcutaneous injection. We analysed and compared the changes in arterial blood pressure, brain microvessel reactivity, cerebral blood flow, expression of hypothalamic vasopressin, and brain/blood oxidation and antioxidative indices using caudal artery plethysmography, isolated microvessel pressure myographs, laser Doppler flowmetry, immunohistochemistry, western blot and biochemistry. Results Compared with their wild-type littermates, the hypertension phenotype was present in the 1α(OH)ase–/– mice, hypothalamic paraventricular nucleus and supraoptic nucleus vasopressin expression was significantly upregulated, and the posterior cerebral artery reaction to the vasodilatory effect of acetylcholine and vasoconstrictive effect of the nitric oxide synthase inhibitor L-nitro-arginine was significantly decreased. Brain/blood oxidative stress was increased, but the antioxidative parameters were decreased. These pathologic changes were corrected by 1,25(OH)2D3 or N-acetyl-l-cysteine plus rescue diet. Conclusions our findings indicate that 1,25(OH)2D3 has an inhibitory effect on vasopressin expression and cerebrovascular dysfunction. 1,25(OH)2D3 may be a promising protective intervention to reduce brain impaired induced by oxidative stress in the hypertension phenotype of 1α(OH)ase–/– mice.
Chronopotentiometry driven electrodeposition of Cu- Ni-W thin films on ITO substrate: A comprehensive study of microstructure and corrosion behaviour
Authors: Saini Himanshu , Singh Ravi , Khatri Manvendra Singh 
Published: May 2024

Abstract

Cu-Ni-W thin films are deposited by varying the current density from − 5 to -60 mA/cm² using the galvanostatic chronopotentiogram method on ITO-coated glass substrates. The X-ray diffraction (XRD) analysis revealed that Cu-Ni-W thin films exhibit a face-centered cubic structure with the presence of specific crystallographic planes, particularly (111), (200), and (220), at 2θ values of 43.4°, 50.7°, and 74.7°. The additional peaks observed at other 2θ values correspond to NiW and Ni4W phases. It is found that film deposited at higher current densities favor the growth of smaller crystalline size of 17 nm and higher degree of texture coefficient of 2.48. The maximum value of micro-strain of about 16% is calculated from the peak broadening of X-ray diffractograms. Due to the strong (111) texture and nano crystallites as confirmed by XRD resulted in an outstanding corrosion resistance of 16.22 kΩ cm² for the film deposited at -60 mA/cm².
Exploring the relations between ethical reasoning and moral intuitions among Chinese engineering students in a course on global engineering ethics
Authors: Clancy Rockwell F. , Zhu Qin 
Published: May 2024

Abstract

Research in engineering ethics has assessed the ethical reasoning of students in mostly the US. However, it is not clear that ethical judgments are primarily the result of ethical reasoning, or that conclusions based on US samples would be true of global populations. China now graduates and employs more STEM (science technology engineering and mathematics) majors than any other country in the world, but the moral cognition and ethics education of Chinese engineers remains understudied. To address this gap, a study was conducted examining the relations between ethical reasoning, moral intuitions, and ethics education among engineering students in China. Engineering students at a university in Shanghai, China completed measures of ethical reasoning and moral intuitions before and after a course on global engineering ethics. Among engineering students in China, (1) ethical reasoning is positively related to an emphasis on care and fairness and (2) global ethics education results in significantly higher levels of ethical reasoning, as well as a greater concern with fairness and loyalty. Whereas the relation between ethical reasoning and moral intuitions among engineering students in China is similar to that of students in the US, ethics education affects engineering students in China differently from their US counterparts.
QxEAI - Automated probabilistic forecasting with Quantum-like evolutionary algorithm
Authors: Xin Kevin , Xin Lizhi 
Published: May 2024

Abstract

Forecasting, to estimate future events, is crucial for business and decision-making. This paper proposes QxEAI, a methodology that produces a probabilistic forecast that utilizes a quantum-like evolutionary algorithm based on training a quantum-like logic decision tree and a classical value tree on a small number of related time series. By using different cycles of the Dow Jones Index (yearly, monthly, weekly, daily), we demonstrate how our methodology produces accurate forecasts while requiring little to none manual work.
Antioxidant defense responses of hulled wheat varieties to the addition of sodium and potassium salts and exogenous glycine-betaine, and evaluation of the usability of these hulled wheats in the remediation of saline soils
Authors: Temizgul Ridvan 
Published: May 2024

Abstract

Soil salinization is an important factor that reduces crop yield by causing soil degradation, severely restricting plant growth and development. We examined the usability of four types of ancient ancestral hulled wheat plants in saline soils based on the enzymatic and non-enzymatic responses of the wheat plants to salt stress and evaluated the ability of these varieties to be used in saline soils. We investigated the extent to which four different ancient hulled wheat species from Turkey can be cultivated in saline soils based on their antioxidant response to different salt stresses and the contribution of exogenously applied GB to this response. The fresh and dry weights of the roots and leafy stems of the plants; plant height; leaf length; chlorophyll and carotene contents; total protein, proline and MDA accumulation; and antioxidant enzyme activities were also analyzed. Concentrations of both sodium and potassium chloride salts above 100 mM cause high levels of stress in hulled wheat. When sodium and potassium chloride salts are given together, this stress decreases by approximately 20–30%, and when plants are supplemented with exogenous glycine-betaine, almost all the negative effects of stress disappear. For successful plant growth in saline/sodic environments, it seems that both the type of salt and the type of plant grown in the salty environment are important rather than the amount of salt in the environment. Specifically, in soils where salinity is caused by sodium, ancient hulled wheat is grown rather than modern cultivated wheat, and if potassium-based fertilizers are applied to plants in addition to nitrogen-based fertilizers, the plant can control the ingress of salt into the cell and cope with salinity stress by maintaining the intracellular K+/Na + balance.
Adiabatic Quantum Power Flow
Authors: Kaseb Zeynab , Moller Matthias , Vergara Pedro P. , Palensky Peter 
Published: May 2024

Abstract

Power flow (PF) analysis is a foundational computational method to study the flow of power in an electrical network. This analysis involves solving a set of non-linear and non-convex differential-algebraic equations. State-of-the-art solvers for PF analysis, therefore, face challenges with scalability and convergence, specifically for large-scale and/or ill-conditioned cases characterized by high penetration of renewable energy sources, among others. The adiabatic quantum computing paradigm has been proven to efficiently find solutions for combinatorial problems in the noisy intermediate-scale quantum (NISQ) era, and it can potentially address the limitations posed by state-of-the-art PF solvers. For the first time, we propose a novel adiabatic quantum computing approach for efficient PF analysis. Our key contributions are (i) a combinatorial PF algorithm and (ii) an adiabatic quantum PF algorithm (AQPF), both of which use Quadratic Unconstrained Binary Optimization (QUBO) and Ising model formulations; (iii) a scalability study of the AQPF algorithm; and (iv) an extension of the AQPF algorithm for larger problem sizes using a partitioned approach. Numerical experiments are conducted using different test system sizes on D-Wave’s Advantage™ quantum annealer, Fujitsu’s digital annealer V3, D-Wave’s quantum-classical hybrid annealer, and two simulated annealers running on classical computer hardware. The reported results demonstrate the effectiveness and high accuracy of the proposed AQPF algorithm and its potential to speed up the PF analysis process while handling ill-conditioned cases using quantum and quantum-inspired algorithms.
Brinkman Equation in Tangent Sphere and Cardioid
Coordinate Systems: Stream Function Solution
Authors: Maurya Deepak Kumar , Sharma Vikas Kumar 
Published: May 2024

Abstract

In the present investigation, we have identified the stream function solution of the Brinkman equation in both the cardioid coordinates (λ, σ, ζ) and tangent sphere coordinates (τ, η, ζ). Trigonometric functions, special functions such as modified Bessel functions and Bessel functions, are contained in the analytical expressions of the stream function and velocity components. We also discussed about how permeability depends on the estimated stream function solution for the Brinkman equation in the cardioid and tangent sphere coordinate systems, which can be deduced as a particular scenario that corresponds with the solution which is currently available [7].
MSC (2020): 35G05, 35C05, 76S05
Photothermal tissue reconstruction and the use of phytoestrogens in the treatment of genitourinary menopausal syndrome
Authors: Kulikov I. A. , Apolikhina I. A. , Gevorkyan G. A. 
Published: May 2024

Introduction. Genitourinary syndrome of menopause (GSM) is a complex of symptoms resulting from changes to the vulvovaginal region, urethra and bladder due to estrogen and other sex steroid deficiency. Vulvovaginal atrophy is one of its manifestations, and vaginal dryness, dyspareunia, burning and itching are the most common symptoms.Aim. To analyse 20 clinical cases of the use of innovative laser procedures combined with phytoestrogens in patients with vulvovaginal atrophy as a symptom of GSM vs the standard systemic protocol for menopausal hormone therapy.Materials and methods. A clinical case-control study was conducted among 20 postmenopausal women. The age of the subjects ranged from 50 to 65 years with amenorrhea for at least 1 year, a follicle-stimulating hormone level of >30 IU/L and various presentations of GSM. The women were divided into two groups: group 1 (n = 10) received laser therapy combined with phytoestrogens, group 2 (n = 10) received systemic menopausal hormonal therapy. To evaluate the results, a survey with a specialized international vulvovaginal symptom questionnaire (VSQ) was carried out to determine the vaginal health index scores before and after treatment.Results. After treatment, both groups showed significant improvement in the form of the reduction or disappearance of symptoms of vulvovaginal atrophy. The prescription of phytoestrogens provided an additional positive effect after 3 sessions of carbon dioxide laser treatment.Conclusion. The carbon dioxide laser exposure resulted in the reduction or disappearance of the local symptoms of climacteric syndrome in the form of GSM, and the use of phytoestrogens as part of Mense BAA supplemented the treatment of psychoemotional and neurovegetative changes, which allowed us to make a conclusion about the feasibility, high efficiency and safety of the complex treatment for women, who do not wish to take menopausal hormone therapy and (or) have absolute contraindications. However, further research on the laser technologies and other non-hormonal techniques to treat GSM is required to carry out a more complete and accurate assessment of the effectiveness and safety of these treatments.
Navigating the Gut-brain Axis: Insights into the Pathogenesis of Hepatic
Encephalopathy
Authors: Emojevwe Victory Aghogho , Shahriari Arman , Mahboobi Hamidreza 
Published: May 2024

:
Hepatic encephalopathy is a neurological condition that affects people who have an insufficient
liver function. However, its pathophysiology is yet unclear. For hepatic encephalopathy,
pharmacotherapy is the primary treatment choice. Lowering ammonia levels, enhancing neurotransmitter
signal transduction, and modifying gut microbiota, tackles the pathophysiology of hepatic
encephalopathy. The intestinal microbiota of liver disease patients differs greatly from that of
healthy people, and this difference is linked to the development of hepatic encephalopathy. Additionally,
gut microbiota is intimately linked to several theories in the pathophysiology of hepatic
encephalopathy, such as the GABA-ergic tone hypothesis, bile acid circulation, ammonia poisoning
theory, and neuroinflammation, all of which exacerbate patients' cognitive and motor impairments.
Providing some probiotics or reestablishing the intestinal bacteria's balance has a substantial
impact on neurological illnesses in hepatic encephalopathy. The goal of this review is to determine
the possible metabolic impacts and microbiological pathways in the gut-brain axis mediated progression
of hepatic encephalopathy, as well as its potential function as a therapeutic target.
@INNOVATIVEESCAPE: Students’ perception and perceived learning outcome using an online exhibition via Instagram platforms
Authors: Jamaludin Nor Lelawati , Mohd Nasir Junita Shariza , Isa Siti Salwa , Ali Abu 
Published: May 2024

Instagram's @innovateescape channel provides social, educational, and technological opportunities. The objective of this study is to enhance comprehension of students' perspectives and perceived educational outcomes through the use of Instagram as a platform for issue-based learning. Students used issue-based learning using the Instagram feed @innovativeescape for this assignment. The findings give empirical evidence that students’ perceptions of the Instagram learning activity were favourable, resulting in a satisfactory learning outcome. These findings prompted the development of best practices for utilising the Instagram platform @innovativeescape to improve students' learning perceptions.
Welding Fumes Versus Respiratory System – An Up-to-Date Overview of Welding Lung Diseases
Authors: Petrovici Catrinel-Stefania , Ion Ileana , Vasile Monica , Petcu Adina , Severin Beatrice , Petrovici Doru-Florin , Petcu Lucian-Cristian 
Published: May 2024

Abstract
Welding processes generate significant occupational contaminants, including particulate matter, metal fumes, and gas by-products. Exposure to these fumes can lead to various health issues in welders. This article emphasizes the need for preventive measures to improve the health of welders and reduce the risks associated with welding.The study explores the impact of welding fumes on the respiratory system and occupational lung disease. It identifies the inhalation of welding fumes as a significant risk factor for lung disease, and the need for clear limitations on welding fume exposure. The research also highlights the importance of understanding the mechanisms underlying lung conditions caused by welding fumes. The study concludes by including 30 citations from several databases (Google Scholar, ResearchGate, MDPI and AcademiaEdu) to raise awareness and establish a scientific link between welding fumes and oral health and teeth structure. The inhalation of welding fumes can significantly impact the respiratory system, causing concerns about safety measures and guidelines for welding environments. Exposure to harmful substances like welding fumes can also affect the oral cavity, a part of both digestive and respiratory system, and therefore, the impact on teeth hard structures claims further scientific investigations.
FAKTOR-FAKTOR YANG MEMPENGARUHI CASH HOLDING PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Pujiati Puput , Viriany Viriany 
Published: May 2024

The purpose of this research is to obtain empirical evidence about the effects of Leverage, firm size, profibility, on cash holding of the manufacturing companies listed in Indonesia Stock Exchange in the period of 2017-2019. This study used 58 manufacturing companies as data and were selected using purposive sampling technique. he research data is managed using Eviews software version 10. The results of this research show that leverage has no significant negatif effect on cash holding while firm size have no significant positif effect on cash holding,This research also indicates that profitability has a significant positif effect on cash holding.