bluuebunny/crossref_metadata_2025_split huggingface dataset:
The monocyte to high-density lipoprotein cholesterol ratio is a risk factor for frequent premature ventricular complexes: A retrospective cohort study
Authors: Wang Yunfei , Li Deming , Zhu Xuetao , Li Jing , Yue Cui , Wu Ling , Zhuan Qingqing , Dou Xiaomeng , Duan Wei 
Published: September 2022

Abstract
Background
Little is known about the link between the monocyte to high-density lipoprotein cholesterol ratio (MHR) and frequent premature ventricular complexes (PVCs). This investigation aimed to evaluate the link between the MHR and frequent PVCs in patients, as well as their outcomes, using the axis, burden, coupling interval–ventricular tachycardia (ABC-VT) risk score (ARS).
Methods
Two hundred patients with frequent PVCs and 70 controls were retrospectively enrolled, and their general data were gathered. The MHR and ARS were calculated. Then, patients developing frequent PVCs were classified into a medium-/high-risk subgroup and a low-risk subgroup according to ARS. The results were evaluated employing comparative statistical analyses, Spearman’s correlation, logistic regression analyses, and receiver operating characteristic (ROC) curves.
Results
The MHR in the controls was obviously lower than that in the frequent PVC group. In addition, the MHR was the lowest in the control group and highest in the medium-/high-risk subgroup, with that of the low-risk subgroup falling in the middle. Spearman’s correlation analyses showed that the MHR was positively correlated with the ARS (ρ = 0.307, P < 0.001). Ultimately, the MHR was found to be a risk factor for frequent PVCs in the multivariate analysis. In addition, an MHR cutoff point of 254.6 featured 67.50% sensitivity and 67.14% specificity for predicting frequent PVCs, and the area under the curve (AUC) reached 0.694 (95% confidence interval: 0.623–0.766) (P < 0.001).
Conclusions
The MHR is positively and independently correlated with frequent PVCs and can be used as a practical, cost-saving and simple biomarker of inflammation owing to its value in predicting frequent PVCs. In addition, the MHR is crucial to risk stratification and prognosis, which may give it clinical value in the prevention and management of frequent PVCs.
New compression point reducing memory size in field of characteristic different from 2 and 3
Authors: Assoujaa ismail , SIHAM EZZOUAK , HAKIMA MOUANIS 
Published: September 2022

Abstract
Compression point is a new method to compress the space memory and still havethe same data. In this paper, we will present a new method of compression points workwell with addition operation in elliptic curve, so instead of storing the value of two pointsP = (xP;yP), Q = (xQ;yQ), we will store the addition of the x-coordinates i,e(a = xP+xQ;yP;yQ) or the y-coordinates i,e (xP;xQ;b = yP+yQ).In this article, we show a new technique for compressing two points in elliptic curve withdifferent coordinate system: Affine, Projective and Jacobian in a field of characteristic different from 2& 3 , and show the cost of theses operations. This method can save if we work with affine,Projective or Jacobian coordinates, at least 25%, 17%, 17% of memory size respectively,and also see what happens in case if we take Edwards curve and Montgomery curve cases.
Measurement and evaluation of noise levels inside and outside the industrial area of Ferronikeli
Authors: Veliu Agron 
Published: September 2022

Abstract
The increasing awareness of the public of environmental issues such as CO2 emissions, carbon footprints and waste recycling has brought the issue of environmental noise to the fore. Many of the demands of modern society result in the creation of noise sources such as larger airports, additional power stations or heavy industry and higher road traffic levels. In addition to this, the expansion of towns and cities, driven by the demand for housing, has often resulted in the development of land near existing noise sources. These trends have meant that many more industries are now required to monitor their environmental noise impact. Environmental noise, caused by traffic, industrial and recreational activities is one of the main local environmental problems in many countries of Europe and the source of an increasing number of complaints from the public. Generally, however, action to reduce environmental noise has had a lower priority than that taken to address other environmental problems such as air and water pollution. In the past, the noise generated by different sources, including also the industries, is not so obvious in trends within Kosovo country. Gllogoc is a town which is a part of the Pristina region, located in the central part of the Republic of Kosovo. In this town is located the smelter plant ‘NewCo Ferronikeli’ which is well known as an industrial complex for ferronickel alloy production. This study was a simple assessment of the noise levels around the NewCo Ferronikeli company. However, this study is based on the Directive 2002/49/EC of The European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise.
Nurses Barriers to Evidence-Based Practice in Palliative Care: A Systematic Review
Authors: Dakka Falah 
Published: September 2022

Abstract
Background
Research shows low EBP uptake among palliative care nurses, which is a global concern because the demand for palliative care services is rising, raising the urgent need to improve healthcare quality. Promoting EBP uptake in palliative care can improve healthcare quality. This systematic review investigated nurses’ barriers to EBP implementation in palliative care.
Method
PubMed and Google Scholar were used to identify six articles. Articles were included for review if published within the past ten years (English-only) and investigated barriers to EBP implementation in palliative care.
Results
Four barriers were identified: (a) time and resource constraints, (b) lack of readiness for organisational change, (c) negative attitudes towards palliative care, and (d) process-specific difficulties.
Conclusion
The findings of this systematic review can be used to inform policy changes to improve the uptake of EBP in palliative care.
Heterogeneous Graph Recommendation Model based on Graph Neural Network
Authors: Norton Van , Miller Mark , Meyer Pierre , Ward John , Agnew Gregory 
Published: September 2022

Abstract
With the development of the Internet in recent years, the network information is exploding, people have entered the era of big data, from the lack of information in the past to the great information overload nowadays. It has become an important challenge to filter the information that is beneficial to you in the ocean of information on the Internet. As a subset of the information filtering system, the recommendation system mainly relies on the historical interaction records of users' products and its own attribute information to explore the potential preferences and needs of users, which greatly reduces the time for users to filter information and is helpful for improving user experience and alleviating the information overload problem. Traditional recommendation algorithms represented by collaborative filtering often face the cold-start problem. They usually recommend products for users based on their purchase history or rating information of products, however, the performance of such recommendation algorithms decreases dramatically when the interaction history of users' products is sparse. Heterogeneous graph networks contain multiple types of nodes and edges due to their inclusion. It contains richer semantic information, and more general recommendation algorithms based on heterogeneous graphs are relatively less studied. Therefore, the purpose of this paper is to study graph neural network-based recommendation algorithms, mainly considering the heterogeneity of the network structure and the interaction order information between nodes, and then build a new recommendation model to cope with the cold start problem and improve the recommendation effect.
Gait-related cross-frequency coupling in the subthalamic nucleus of parkinsonian patients
Authors: Farokhniaee AmirAli , Palmisano Chiara , Vecchio Jasmin Del Vecchio Del , Volkmann Jens , Isaias Ioannis 
Published: September 2022

Abstract
Background
Analysis of coupling between the phases and amplitudes of neural oscillations has gained increasing attention as an important mechanism for large-scale brain network dynamics. In Parkinson’s disease (PD), preliminary evidence indicates abnormal beta-phase coupling to gamma-amplitude in different brain areas, including the subthalamic nucleus (STN).
Objective
To study gait-related, phase-amplitude coupling (PAC) of subthalamic local field potentials (LFPs) in parkinsonian patients.
Methods
We analyzed bilateral STN LFPs in eight subjects with PD chronically implanted with deep brain stimulation electrodes during upright quiet standing and unperturbed walking. PAC was computed using the Kullback-Liebler method, based on the Modulation Index. Neurophysiological recordings were correlated with clinical and kinematic measurements and individual molecular brain imaging studies ([123I]FP-CIT and single-photon emission computed tomography).
Results
We showed a dopamine-related increase in subthalamic beta-gamma PAC between standing and walking. Patients with poor PAC modulation between standing and walking and low PAC during walking spent significantly more time in the stance and double support phase of the gait cycle.
Conclusion
Cross-frequency coupling in the STN is a fundamental aspect of motor control for human locomotion, and could be used as an input signal for automated programming of novel stimulators.
Annotation of Helicobacter pylori mass peaks detected by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry
Authors: Ng Wenfa 
Published: September 2022

Abstract
Helicobacter pylori is an important human gastric pathogen that has been studied by the relatively new technique of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). This work attempts to annotate the mass peaks of two strains of H. pylori (J99 and ATCC 26695) that has been reported in the literature in 2010 out of pure curiosity. Reference proteome used in this work was H. pylori proteome deposited in UniProt, and the annotation process taken was aided by an in-house MATLAB mass peak annotation software. Briefly, the mass peaks reported were compared to the molecular weight of each protein in the H. pylori proteome to help find a match of lowest error in molecular weight. Results revealed that most of the annotated mass peaks were from ribosomal proteins, especially those in the large ribosome subunit. Other annotated proteins were uncharacterised proteins, which suggest that important facet of this important H. pylori pathogen remains unknown to the biology and biomedical community. Overall, annotation of the mass peaks of two strains of H. pylori should provide a useful resource for other works trying to understand the origins of the mass peaks and their physiological roles in the organism and in human pathogenesis.
Utilization of Maternal Health Services Among Women in Jiribam District, Manipur
Authors: Bhardwaj Prakash Chandra , Kannan Srinivasan 
Published: September 2022

Abstract
Introduction: Millennium Development Goal made significant progress, despite that major challenges such as maternal mortality, access to sexual and reproductive health and rights in the developing countries remain as a huge problem. The objective of the study was to find the proportion of institutional delivery and barriers of maternal health service utilization in Jiribam district, Manipur. Methods: Cross-sectional study conducted among women of Jiribam district, who had delivered during the period between November 2018 and October 2019. Using multi-stage random sampling, 215 women after consenting, participated in the study. Data was collected using KoBoCollect application. Using SPSS V 21.0. analysis performed for Chi-Square test for exploring association, and p-value < 0.05 was considered significant. Binary logistic regression model was built for predictors for the dependant variables. Results: The study found 61.4 percent (95% CI 54.7–67.7) had institutional delivery in Jiribam district during the year, 2018-19. Sixty percent of deliveries were conducted in Government facility and 40 percent in private facility. Thirty percent of institutional delivery was conducted inside the Jiribam district and 70 percent was conducted in the Cachar district, Assam state. Education level, ethnicity, and place of residence of women were important determinants of maternal health service utilization. Conclusion: The proportion of institutional delivery was 19.4 percent less compared to the NFHS-4 (2015-16) report of Imphal East district (till 2016, Jiribam was a sub-division of the district). Peripheral districts need more attention to maintain equity to access quality health care. Section II
Virtual Machine Migration Based on Coalition Formation Game
Authors: Qin Haiyan , Zhang Yonglong , Wu Yang , Li Bin 
Published: September 2022

Abstract
Virtualization has been regarded as a key technology to diversify computing resources and facilitate system management in cloud datacenters. However, the improper allocation way of virtual machines (VMs) results in the imbalanced resource allocation, and cause some physical machines (PMs) to overload while others to underutilize. Virtual machine migration is a method to help cloud service providers manage cloud resources effectively and automatically. We model the VM migration problem as coalition formation game (VMM-CFG), and propose a merge and split algorithm to implement VM migration. First of all, some VMs in the overloaded PMs are selected to be migrated. After that, the VMs to be migrated form effective coalitions independently and autonomously, and then the coalitions are mapping to the corresponding underloaded PMs. The simulation results show that VMM-CFG mechanism is well behaved in load-balance and communication costs.
Patient-Centric Machine Learning-based COVID Monitoring System
Authors: R.G Sangeetha , Hemanth C , Santhosha A , Madhumitha S 
Published: September 2022

Abstract
In this coronavirus epidemic period (COVID-19), vaccination is a highly recommended proactive measure. Millions of people are getting vaccination each day, and it isn’t easy to maintain physical records and monitor their health. In addition, most people are not aware of the availability of vaccines in the hospitals and their suitability to get themselves vaccinated. Moreover, post-vaccination effects need careful monitoring. But in today’s situation, frequent physical visits to hospitals may not be possible. If any complications developed post-vaccination may create health ailments. Therefore, there is a need for an appropriate system, mitigating the issues mentioned above in the vaccination process. We design and develop a Machine learning-based tool for early screening and closedloop real-time remote monitoring of coronavirus disease (COVID-19).
Regional Anesthesia for Clavicle Fracture Surgery- What is the Current Evidence: A Systematic Review
Authors: Ding Xueqin 
Published: September 2022

Introduction:
The sensory innervation of the clavicle remains controversial. It might come from both the cervical plexus and brachial plexus. Peripheral nerve blocks used to anesthetize the clavicle include cervical plexus blocks, brachial plexus blocks, and combined cervical and brachial plexus blocks.

Objectives:
The review was to determine whether there is a difference in pain scores and pain medication consumption intraoperatively and postoperatively among these blocks. Secondary endpoints were block success and serious adverse events.

Methods:
A comprehensive literature search of PubMed and Web of Science was performed. Only English-written randomized controlled studies were included.

Results:
Compared with patients with general anesthesia, patients with combined ultrasound-guided superficial cervical and interscalene brachial plexus block spent a shorter time in PACU (35.60 ± 5.59 min vs. 53.13 ± 6.95 min, P < 0.001), had a more extended pain-free period (324.67 ± 41.82 min vs. 185.27 ± 40.04 min, P < 0.001), and received less opioid consumption (Tramadol 213.33 ± 57.13 mg vs. 386.67 ± 34.57 mg, P < 0.001) in first 24 h postoperatively. Compared with patients with ultrasound-guided superficial cervical and interscalene brachial plexus block, patients with ultrasound-guided intermediate cervical and interscalene brachial plexus block had a higher success rate (100% vs. 80%) and longer duration of post-operative analgesia (7.5±0.8 h vs. 5.7± 0.4 h, P<0.001). Without ultrasound guidance, patients with combined superficial, deep cervical, and interscalene brachial plexus block had a higher success rate (96% vs. 60%), lower pain score at two h postoperatively (1.96±0.17 vs. 3.22±0.88, p=0.000), and a more extended pain-free period (1h vs 6h) compared to combined superficial cervical and interscalene brachial plexus block. There were no regional anesthesia-related complications reported in all studies.

Conclusion:
Patients with regional anesthesia have a more significant pain-free period and less intraoperative and postoperative opioid consumption than patients with general anesthesia. Combined intermediate or deep cervical plexus and Interscalene brachial plexus blocks provide better analgesia than combined superficial cervical plexus and Interscalene brachial plexus blocks. Ultrasound guidance improved the success rate of regional anesthesia. Combined cervical plexus and brachial plexus block can be used as sole anesthesia for clavicle fracture surgery.
Developing an Anxiety Screening Tool for Children in South Africa: Protocol for a Mixed Methods Study
Authors: Benjamin Fatiema , Adebiyi Babatope O , Rich Edna , Roman Nicolette Vanessa 
Published: September 2022

Background
Early childhood experiences such as trauma, exposure to violence, and poverty can significantly contribute to childhood anxiety, which is viewed as the most common mental health issue among children. In South Africa, there is no uniform tool to screen for anxiety during early childhood. This study aims to develop a tool to screen for anxiety in children aged 4 to 8 years, which could be utilized by preschool and foundation phase teachers to aid in the early identification of childhood anxiety.

Objective
The overall objective of this study is to explore understanding and perceptions of childhood anxiety among teachers, parents, and experts and to develop a tool to screen for anxiety in children aged 4 to 8 years.

Methods
This project will use a mixed method design that will consist of 4 stages. Stage 1 will consist of a scoping review. In Stage 2, data will be collected via semistructured interviews with 60 participants, including parents, teachers, and experts, and will be thematically analyzed. Stage 3 will consist of 20 experts and the researcher collaboratively formulating the proposed screening tool in the form of an e-Delphi component. Once the tool is refined, it will be piloted in Stage 4 with 20 teachers, and data will be analyzed with the Shapiro-Wilk test to test for normality. Additionally, factor analysis will be done to refine and restructure the tool as necessary.

Results
This project was funded from April 2020 to December 2021. Data collection began in September 2022 and is projected to conclude in December 2022 for the qualitative component. The e-Delphi component is expected to be carried out from March to November 2023. Ethical approval was obtained from the Biomedical Research Ethics Committee in November 2021.

Conclusions
Anxiety in early childhood has been linked to various repercussions in adolescence and adulthood, such as school dropout, substance abuse, anxiety disorders, depression, and suicide ideation. Therefore, identifying the presence of anxiety earlier on and providing the necessary referral services could aid in reducing the negative consequences of unidentified and untreated anxiety in early childhood.

International Registered Report Identifier (IRRID)
PRR1-10.2196/37364
Mindfulness-Based Stress Reduction, Cognitive Behavioral Therapy, and Acupuncture in Chronic Low Back Pain: Protocol for Two Linked Randomized Controlled Trials
Authors: Mackey Sean , Gilam Gadi , Darnall Beth , Goldin Philippe , Kong Jiang-Ti , Law Christine , Heirich Marissa , Karayannis Nicholas , Kao Ming-Chih , Tian Lu , Manber Rachel , Gross James 
Published: September 2022

Background
Nonpharmacologic mind-body therapies have demonstrated efficacy in low back pain. However, the mechanisms underlying these therapies remain to be fully elucidated.

Objective
In response to these knowledge gaps, the Stanford Center for Low Back Pain—a collaborative, National Institutes of Health P01–funded, multidisciplinary research center—was established to investigate the common and distinct biobehavioral mechanisms of three mind-body therapies for chronic low back pain: cognitive behavioral therapy (CBT) that is used to treat pain, mindfulness-based stress reduction (MBSR), and electroacupuncture. Here, we describe the design and implementation of the center structure and the associated randomized controlled trials for characterizing the mechanisms of chronic low back pain treatments.

Methods
The multidisciplinary center is running two randomized controlled trials that share common resources for recruitment, enrollment, study execution, and data acquisition. We expect to recruit over 300 chronic low back pain participants across two projects and across different treatment arms within each project. The first project will examine pain-CBT compared with MBSR and a wait-list control group. The second project will examine real versus sham electroacupuncture. We will use behavioral, psychophysical, physical measure, and neuroimaging techniques to characterize the central pain modulatory and emotion regulatory systems in chronic low back pain at baseline and longitudinally. We will characterize how these interventions impact these systems, characterize the longitudinal treatment effects, and identify predictors of treatment efficacy.

Results
Participant recruitment began on March 17, 2015, and will end in March 2023. Recruitment was halted in March 2020 due to COVID-19 and resumed in December 2021.

Conclusions
This center uses a comprehensive approach to study chronic low back pain. Findings are expected to significantly advance our understanding in (1) the baseline and longitudinal mechanisms of chronic low back pain, (2) the common and distinctive mechanisms of three mind-body therapies, and (3) predictors of treatment response, thereby informing future delivery of nonpharmacologic chronic low back pain treatments.

Trial Registration
ClinicalTrials.gov NCT02503475; https://clinicaltrials.gov/ct2/show/NCT02503475

International Registered Report Identifier (IRRID)
PRR1-10.2196/37823