bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cxcl5/Cxcr2 Modulates Inflammation-Mediated Neural Repair After Optic Nerve Injury
Authors: Liu Yu-Fen , Liang Jia-Jian , Ng Tsz Kin , Hu Zhanchi , Xu Ciyan , Chen Shaowan , Chen Shao-Lang , Xu Yanxuan , Zhuang Xi , Huang Shaofen , Zhang Mingzhi , Pang Chi Pui , Cen Ling-Ping 
Published: December 2020

Abstract
BackgroundPrevious studies reported that mild inflammation promotes retinal ganglion cell (RGC) survival and axonal regeneration after optic nerve (ON) injury with involvement of infiltrating macrophages and neutrophils. Here we aimed to evaluate the involvement and regulation of the main inflammatory chemokine pathway Cxcl5/Cxcr2 in the inflammation-mediated RGC survival and axonal regeneration in mice after ON injury.MethodsThe expressions and cellular locations of Cxcl5 and Cxcr2 were confirmed in mouse retina. Treatment effects of recombinant Cxcl5 and Cxcr2 antagonist SB225002 were studied in the explant culture and the ON injury model with or without lens injury. The number of RGCs, regenerating axons, and inflammatory cells were determined, and the activation of Akt and Stat3 signaling pathways evaluated. ResultsCxcr2 and Cxcl5 expressions were increased after ON and lens injury. Addition of recombinant Cxcl5 promoted RGC survival and neurite outgrowth in retinal explant culture with increase in the number of activated microglia, which was inhibited by SB225002 or clodronate liposomes. Recombinant Cxcl5 also alleviated RGC death and promoted axonal regeneration in mice after ON injury, and promoted the lens injury-induced RGC protection with increase in the number of activated microglia. SB225002 inhibited lens injury-induced cell infiltration and activation, and attenuated the promotion effect on RGC survival and axonal regeneration through reduction of lens injury-induced Akt activation.ConclusionsCxcl5 promotes RGC survival and axonal regeneration after ON injury and further enhances RGC protection induced by lens injury through microglia activation, which is attenuated by Cxcr2 antagonist. Cxcl5/Cxcr2 should be a potential therapeutic target for RGC survival promotion after ON injury.
CXCL-12 Attenuates Neuroinflammation via the CXCR4/PI3K/Akt Signaling&nbsp;Pathway in a Rat Model of SAH
Authors: Zuo Gang , Gu Ran , Wang Lu , Lenahan Cameron , Qu Hao , Li Shirong , Wei Changxiu , Liu Lijuan , Li Yangchun , Yang Tingting , Xie Lin , Tang Man , Liang Yulong , Li Chunyan , Han Lu , Zhao Kaijun , Hu Xiao 
Published: December 2020

Abstract
BackgroundSubarachnoid hemorrhage (SAH) is a cerebrovascular disease associated with high morbidity and mortality. CXCR4 provides a neuroprotective effect, which can alleviate brain injury and inflammation induced by stroke. The purpose of this study was to evaluate the anti-inflammatory effects and mechanisms of CXCR4 after SAH. Methods: SAH was induced via endovascular perforation. 185 male Sprague-Dawley rats were used. Recombinant human cysteine-X-cysteine chemokine ligand 12 (rh-CXCL-12) was administered intranasally at 1 h after SAH induction. To investigate the underlying mechanism, the inhibitors of CXCR4 and P13K, AMD3100 and LY294002, respectively, were administered intraperitoneally at 1 h before SAH. The short- and long-term neurobehavior were assessed, followed by performing western blot and immunofluorescence staining. ResultsWestern blotting suggested that the expressions of endogenous CXCL-12 and CXCR4 were increased, and peaked at 24 h following SAH. Immunofluorescence staining showed that CXCR4 was expressed on microglia. Rh-CXCL-12 treatment reduced the number of M1 macrophages and improved the short- and long-term neurological deficits after SAH. Meanwhile, rh-CXCL-12 treatment increased the levels of CXCL-12, CXCR4, PI3K, and p-Akt, and reduced the levels of IL-1β, IL-6, and TNF-α. Moreover, the administration of AMD3100 and LY294002 abolished the post-SAH neurobehavioral and neuroinflammatory improvements of CXCL-12 and its regulation of PI3K and p-Akt protein levels.Conclusions﻿The CXCR4/PI3K/Akt signaling pathway may be involved in CXCL-12-mediated reduction of post-SAH neuroinflammation. Early administration of CXCL-12 may be a preventive and therapeutic strategy against delayed brain injury after SAH.
Transcranial Sonographic Assessment of the Third Ventricle in Neuro-ICU Patients to Detect Hydrocephalus: A Diagnostic Reliability Pilot Study
Authors: WIDEHEM Remy , Bory Paul , Greco Frederic , Pavillard Frederique , Challard Kevin , Mas Alexandre , Djanikian Flora , Carr Julie , Molinari Nicolas , Jaber Samir , Perrigault Pierre Francois , Chanques Gerald 
Published: December 2020

Abstract
BACKGROUND: Transcranial sonography is a point of care tool recommended in intensive care units (ICU) to monitor brain injured patients. OBJECTIVE: To assess feasibility and reliability of the third ventricle (V3) diameter measurement using transcranial sonography (TCS) compared to brain computedtomography (CT), the gold standard measurement, and to measure the TCS learning curve. METHODS: prospective study, in a 16-bed neurological ICU in an academic hospital. We included consecutive brain injured adult patient, who required a brain CT and TCS monitoring. V3 diameter was blindly measured by TCS and CT. MAIN OUTCOME MEASURES: V3 diameter measured by TCS and CT: Intra-class correlation coefficient (ICC) and Bland-Altman plot were used to assess the reliability and agreement between V3 measurements. Diagnosis performance of the V3 diameter using TCS to detect hydrocephalus was measured. Absolute difference between V3 measurement by residents and experts was measured consecutively to assess the learning curve. RESULTS: Among the 100 patients included in the study, V3 diameter could be assessed in 87 patients from at least one side of the skull. Both temporal windows were available in 70 patients. The ICC between V3 diameter measured by TCS and CT was 0.90 [95% Confidence-Interval 0.84-0.93] on the right side, and 0.92 [0.880.95] on the left side. In Bland-Altman analysis, mean difference, standard deviation, 95% limits of agreement were 0.36, 1.52, -2.71 to 3.45 mm, respectively, on the right side; 0.25, 1.47, -2.71 to 3.21 mm, respectively, on the left side. Among the 35 patients with hydrocephalus, V3 diameters could be measured by TCS in 31 patients from at least one side. Hydrocephalus was respectively excluded, confirmed, or inconclusive using TCS in 40, 29 and 31% of the 87 assessable patients. After 5 measurements, every resident reached a satisfactory measurement compared to the expert operator, defined by a mean absolute difference < 1 mm. CONCLUSION: TCS allows rapid, simple and reliable V3 diameter measurement compared with the gold standard in neuro-ICU patients. Aside from sparing irradiating procedures and transfers to the radiology department, it may especially increase close patient monitoring to detect clinically occult hydrocephalus earlier. Further studies are needed to measure potential clinical benefit. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT02830269. Registered 17 July 2016, https://www.clinicaltrials.gov/ct2/show/NCT02830269?term=NCT02830269&draw=2&rank=1
Hall effect in transmission lines
Authors: Kumar Abhimanyu 
Published: December 2020

Abstract
Transmission lines are subject to several undesired effects which are observed during distribution of power. This paper provides elementary proof-of-concept of a nonlinear phenomenon which causes the development of transverse electric potential in a conductor. In a simple setting for a two-cable HVDC transmission line, it is shown that a voltage perpendicular to the flow of current in a cable is generated, which is proportional to the square of current in the nearby cable. It also creates a deflection in electron path by concentrating them towards one side which produces an effect analogous to the skin effect (found with AC supply), but here occurring with DC supply.
Two novel biallelic mutations in PSMC3IP in a Chinese patient affected by primary ovarian insufficiency: case report and review of the literature
Authors: Mei Libin , Huang Lingling , Huang Yanru , Wu Xiaoling , He Huang , He XueMei , Su Zhiying , Li Ping 
Published: December 2020

Abstract
Background: Premature ovarian insufficiency (POI) is a heterogeneous condition occurring when a woman experiences a loss of ovarian activity before the age of 40. It is one of the most common reproductive endocrine diseases in women of childbearing age. Here, we investigated the clinical manifestations and genetic features of a Chinese patient affected by POI.Methods: We applied next-generation whole-exome capture sequencing with Sanger direct sequencing to the proband and her clinically unaffected family members. Results: Two novel compound heterozygous mutations were identified in the PSMC3IP gene. The first is a splicing mutation (c.597+1G>T) that was inherited from her father, while the second mutation (c.268G>C p.D90H) was also discovered in her mother and younger sister. The two mutations were co-segregated with the disease phenotype in the family. Conclusions: To our knowledge, this is the first report of PSMC3IP mutations causing POI in the Chinese population. Our findings further support the key role of the PSMC3IP gene in the etiology of POI. However, additional studies are required to explore the underlying molecular mechanisms involved.
Risk Factors for Stillbirth and Early Neonatal Mortality: A Case-Control Study in Tertiary Hospitals in Addis Ababa, Ethiopia
Authors: Weldetensaye Eskinder Kebede , Kekulawala Melani 
Published: December 2020

Abstract
Background: Ethiopia is a Sub-Saharan country that has made significant improvements in maternal mortality and under-five mortality over the past 15 years. However, perinatal mortality continues to be a major obstacle. The nation continues to have one of the highest rates of perinatal mortality in the entire world with current estimates at 33 deaths per 1000 live births.Methods: This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital (TAH) and Gandhi Memorial Hospital (GMH). All women who had a stillbirth or early neonatal mortality during this period willing to participate were included as cases. A systematic random sample of women delivering at the hospital was approached for recruitment as controls to generate a 2:1 ratio of controls to cases. Data on potential risk factors were retrieved from medical records including health passports, delivery records, and treatment charts. Statistical differences in background and social characteristics of cases and controls were determined by t-test and chi-squared (or fisher's exact test) for quantitative and categorical variables respectively. Binary logistic regression analysis was completed to determine any associations between risk factors and stillbirth/early neonatal mortality.Results: During the study period, 366 women delivering at the hospitals were enrolled as cases and 711 women delivering at the hospitals were enrolled as controls. During the study period, records from both hospitals indicated that the estimated stillbirth and neonatal mortality rates were30.7 per 1000. Neonatal causes (43.4%) were the most common, followed by antepartum (32.5%) and intrapartum (24.5%). Risk factors for stillbirths and early neonatal mortality were low maternal education (aOR 1.747, 95%CI 1.098-2.780), high parity (aOR 1.114, 95%CI .058- 2.484), previous stillbirth (aOR 9.447, 95%CI 6.245-14.289), previous preterm birth (aOR 3.620, 95%CI 2.363-5.546), and previous child with congenital abnormality (aOR 2.190, 95% 1.228-3.905), and antepartum hemorrhage during pregnancy (aOR 3.273, 95% 1.523-7.031).Conclusion: Antepartum hemorrhaging is the only risk factor in our study amenable for direct intervention. Efforts should be maximized to improve patient education and antenatal and obstetric services, particularly for women who have a history of obstetric complications identified as risk factors. Moreover, the most significant cause of mortality was asphyxia-related causes. It is imperative that obstetric capacity in rehabilitation services are strengthened and for further studies to investigate the high burden of asphyxia at these tertiary hospitals to better tailor interventions.
Structural equation modeling for identification of patient safety antecedents in primary care
Authors: Kosiek Katarzyna , Staniec Iwona , Godycki-Cwirko Maciej , Depta Adam , Kowalczyk Anna 
Published: December 2020

Abstract
Background:. Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents. Methods: Medical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). Results: SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres.Conclusions: The integrated safety model described in the study can improve patient safety management.
A novel essential protein identification method based on PPI networks and gene expression data
Authors: Zhong Jiancheng , Tang Chao , Peng Wei , Xie Minzhu , Sun Yusui , Tang Qiang , Xiao Qiu , Yang Jiahong 
Published: December 2020

Abstract
Background: Some proposed methods for identifying essential proteins have better results by usingbiological information. Gene expression data is generally used to identify essential proteins. However, gene expression data is prone to fluctuations, which may affect the accuracy of essential protein identification. Therefore, we propose an essential protein identification method based on gene expression and the PPI network data to calculate the similarity of "active" and "inactive" state of gene expression in a cluster of the PPI network. Our experiments show that the method can improve the accuracy in predicting essential proteins.Results: In this paper, we propose a new measure named JDC, which is based on the PPI network data and gene expression data. The JDC method offers a dynamic threshold method to binarize gene expression data. After that, it combines the degree centrality and Jaccard similarity index to calculate the JDC score for each protein in the PPI network. We benchmark the JDC method on four organisms respectively, and evaluate our method by using ROC analysis, modular analysis, jackknife analysis, overlapping analysis, top analysis, and accuracy analysis. The results show that the performance of JDC is better than DC, IC, EC, SC, BC, CC, NC, PeC, and WDC. We compare JDC with both NF-PIN and TS-PIN methods, which predict essential proteins through active PPI networks constructed from dynamic gene expression.Conclusions: We demonstrate that the new centrality measure, JDC, is more efficient than state-of-the-art prediction methods with same input. The main ideas behind JDC are as follows: (1) Essential proteins are generally densely connected clusters in the PPI network. (2) Binarizing gene expression data can screen out fluctuations in gene expression profiles. (3) The essentiality of the protein depends on the similarity of "active" and "inactive" state of gene expression in a cluster of the PPI network.
Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol
Authors: Su Zhaohui , Meyer Kylie , Li Yue , McDonnell Dean , Joseph Nitha Mathew , Li Xiaoshan , Du Yan , Advani Shailesh , Cheshmehzangi Ali , Ahmad Junaid , Veiga Claudimar Pereira da , Chung Roger Yat-Nork , Wang Jing 
Published: December 2020

Abstract
Background: A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. Methods: Databases including PubMed, PsycINFO, CINAHL, and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between January 1st, 2010 to December 4th, 2020. Titles, abstracts, and full-texts papers will be reviewed against the eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process, and implications for existing interventions and research evaluated by a multidisciplinary research team. Results: NA—protocol study Conclusions: Our study will fill critical gaps in the literature by providing a review of technology-based interventions tested in the nursing home setting. As the older adult population grows, there is an urgent need to identify effective technology-based interventions that can address the distinctive characteristics and preferences of nursing home residents. Clear and comprehensive understanding of how available technology-based health solutions facilitate healthcare for nursing home residents will shed light on the approaches open to residents to fend off the negative health consequences amid and beyond the influence of COVID-19. Systematic Review Registrations: PROSPERO CRD 42020191880
Risk Perception and Community Vulnerability to COVID-19 Infection Among Residents In Osun State, Nigeria
Authors: Adenike Olugbenga-Bello Iyanuoluwa , Olarewaju Sunday O , Ilori Oluwatosin Ruth , Callistus Akinleye , Olalekan Adebimpe Wasiu , Shobowale Joke O Ojediran- , Oluwaseyi Israel K 
Published: December 2020

Abstract
Background Understanding the risk perception, attitude and vulnerability to Corona Virus infection among community dwellers is important in designing appropriate behavioral change communication programs necessary to stop the spread of this deadly contagious disease. The objective is to assess the risk perception, attitude and community vulnerability to COVID 19 infection among residents of Osogbo, Osun-StateMethodsIt was a cross sectional descriptive study done using pre-tested semi-structured questionnaire where 1000 individuals were selected using multistage sampling technique. Data were analyzed using SPSS version 23. Descriptive and inferential statistical analysis was carried out using appropriate test statistics and level of significance set at P less than 0.05. ResultsThe mean age was 38.4±13.9 years with majority been females (60%), married (67.3%), tertiary educational status (59.8% ) Christians (68.1%) and civil servants (33%). Almost all the respondents (99.3%) were aware of COVID 19 infection and commonest source of information is television, Also, more than half of respondents of respondents i.e 62.2%, 79.7% and 74,6% had good knowledge on symptoms, transmission and preventive measures respectively while 69.1% had good attitude. Overall, risky perception was poor (44.6%) while more than half (64.8%) were vulnerable to having infection. In binary logistic regression analysis, poor knowledge on preventive measures was significantly associated with vulnerability towards having COVID 19 infection. ( OR- 0.64, CI 0.47- 0.87)Conclusions The overall knowledge and attitude of COVID-19 infection is commendable, the risky perception is poor while assessed vulnerability towards COVID 19 infection is high particularly among those with lower knowledge. Therefore, there is need for health promotional programs for encouraging and maintenance of safety measures among the respondents.
Hosoya Polynomial for Subdivided Caterpillar Graphs
Authors: Numan Muhammad , Nawaz Aamra , Aslam Adnan , Butt Saad Ihsan 
Published: December 2020

Background:
Computing Hosoya polynomial for the graph associated with the chemical compound plays a vital
role in the field of chemistry. From Hosoya polynomial, it is easy to compute Weiner index(Weiner number) and Hyper
Weiner index of the underlying molecular structure. The Wiener number enables the identifying of three basic features of
molecular topology: branching, cyclicity, and centricity (or centrality) and their specific patterns, which are well reflected
by the physicochemical properties of chemical compounds. Caterpillar trees have been used in chemical graph theory to
represent the structure of benzenoid hydrocarbons molecules. In this representation, one forms a caterpillar in which each
edge corresponds to a 6-carbon ring in the molecular structure, and two edges are incident at a vertex whenever the
corresponding rings belong to a sequence of rings connected end-to-end in the structure. Due to the importance of
Caterpillar trees, it is interesting to compute the Hosoya polynomial and the related indices.

Method:
The Hosoya polynomial of a graph G is defined as H(G;x)=∑_(k=0)d(G) d(G,k) x^k . In order to compute the Hosoya polynomial, we need to find its coefficients d(G,k) which is the number of pair of vertices of G which are at distance k. We classify the ordered pair of vertices which are at distance m,2≤m≤(n+1)k in the form of sets. Then finding the cardinality of these sets and adding up will give us the value of coefficient d(G,m). Finally using the values of coefficients in the definition we get the Hosoya polynomial of Uniform subdivision of caterpillar graph.

Result:
In this work we compute the closed formula of Hosoya polynomial for subdivided caterpillar trees. This helps us to
compute the Weiner index and hyper-Weiner index of uniform subdivision of caterpillar graph.

Conclusion:
Caterpillar trees are among one of the important and general classes of trees. Thorn rods and thorn stars are the
important subclasses of caterpillar trees. The ideas of the present research article is to give a road map to those researchers
who are interesting to study the Hosoya polynomial for different trees.