bluuebunny/crossref_metadata_2025_split huggingface dataset:
QoE Aware Application Placement in Fog Environment Using SAW Game Theory Method
Authors: Mirzapour-Moshizi Maryam , Sattari-Naeini Vahid 
Published: October 2022

Abstract
Today, Fog computing plays an essential role in Human life. One of the challenges in the Fog and Cloud environment is hierarchical service process; requests are sent to Fog, and if Fog is unable to provide service, they are sent to Cloud, which is a time-consuming process. This paper presents a framework that specifies when a request is sent, in which environment it can be serviced, and provides interfaces to properly manage nodes and domains and manage the service of requests. In these administrative interfaces, the most suitable domain is determined using SAW method of Game Theory and user expectations for placing the application. Then the gateway of the specified domain suggests the most appropriate node using PSO algorithm. Because the application placement is based on the expectations of the users, it increases the QoE. The proposed method is implemented in the iFogSim and its results have been evaluated with authentic articles. It was observed proposed method has better performance and better service speed than the state-of-the-art research works and a significant improvement in service response time.
Perceived challenges in implementing point-of-care testing for glucose-6-phosphate- dehydrogenase for malaria patients before primaquine treatment in the Philippines
Authors: Berte Charmaine Joy , Lorenzo Pauline Joy , Espino Fe Esperanza 
Published: October 2022

Abstract
Background
The National Malaria Control and Elimination Program (NCEP) aimed to eliminate the disease by 2030. Among the challenges to achieving this goal was the radical treatment of malaria. The Philippines was among the very few countries that administer primaquine for Plasmodium vivax and Plasmodium ovale without prior testing for glucose-6-phosphate-dehydrogenase(G6PD). G6PD testing before administering primaquine (15 mg/kg/day) was recommended in the Philippines’ malaria treatment guidelines but the point-of-care qualitative test kits were not available for use in barangay malaria microscopy centers (BMMC) where malaria diagnosis and treatment occurred.
Methods
This study explored the challenges in implementing G6PD testing for the radical treatment of malaria. The main methods employed were stakeholder analysis and service availability and readiness assessment including the feedback of the health providers on the type of G6PD test kit that was proposed to be deployed and used.
Results
The challenges identified by the stakeholders were: (a) they perceived a low to no documented case of primaquine-induced hemolysis; (b) the impression of low-transmission of vivax infection; (c) the additional budget for the roll-out of g6pd testing for malaria patients; (d) no established treatment guidelines for malaria patients with G6PD deficiency; (e) additional workload for the health care providers; (f) lack of training on G6PD deficient patient management and on how to perform and interpret the result of the G6PD test. SARA survey showed that all facilities were equipped and have the capacity to conduct the test, however, training for the health providers should be provided.
Conclusions
The roll-out of a point-of-care test for G6PD deficiency should be prioritized to achieve an effective radical cure for malaria. A cost-benefit analysis should be explored to support the implementation of G6PD testing prior to primaquine treatment.
HSD3B7 as a prognostic-related biomarker predicts poor prognostic in ccRCC
Authors: Hu Zhiya , Wang Jiawu , Fu Yongxin , Li Yisen , Jiang Qing 
Published: October 2022

Abstract
Backgrounds:Clear cell renal cell carcinoma (ccRCC) is a form of renal tumor with poor prognosis and insensitive to radiotherapy and chemotherapy. HSD3B7 is highly expressed in a variety of malignant tumors and is associated with poor prognosis. However, the role of HSD3B7 in clear cell renal cell carcinoma (ccRCC) is unclear. The purpose of this study is to determine the role of HSD3B7 in ccRCC by integrated bioinformatics analysis.
Methods: The whole transcriptome data were downloaded from the Cancer Genome Atlas (TCGA) database. The expression and methylation data of HSD3B7 mRNA were obtained from TIMER, UALCAN and MethSurv databases. Linkedomics database is used to study the functional pathway of the genes co-expressed with HSD3B7. The TIMER and TISIDB databases were used to analyze the correlation between HSD3B7 and tumor infiltrating immune cells and immune modulators. The expression of HSD3B7 in different tumor cell lines and its relationship with drug response were analyzed by RNAactDrug and CCLE database.
Results:The expression of HSD3B7 was significantly up-regulated in most cancer types. The mRNA and protein expression levels of HSD3B7 were significantly higher in normal tissues compared with ccRCC tissues. Kaplan-Meier survival curve showed that high HSD3B7 expression level predicted poor OS and PFS. The degree of DNA methylation of HSD3B7 in ccRCC was significantly lower than that in normal tissues. The pathway function enrichment analysis of HSD3B7 co-expressed genes suggested that HSD3B7 co-expressed genes were mainly involved in immune-related pathways. At the same time, the expression of HSD3B7 was also strongly correlated with immune infiltration level, immune regulators and chemokines. More importantly, the results of drug sensitivity suggested that the expression of HSD3B7 was closely related to the mechanism of many common renal cell carcinoma related drugs. Therefore, HSD3B7 can be a potential prognostic and prognostic biomarker and therapeutic target of ccRCC.
Conclusions:The results suggested that HSD3B7 may be a potential prognostic biomarker and a new therapeutic target for ccRCC.
Exploring the Impact of COVID-19 on the Air Quality in China
Authors: Wang Ming-Wei , Wang Jie , Sun Li-xia , Ye Lan , Zhou Meng-yun , Chen Juan , Feng Zhan-hui , Cheng Yong-Ran 
Published: October 2022

Abstract
At the end of 2019, the COVID-19 emerged in Wuhan, China. It has since put global public health institutions on high alert. People in China reduced their traveling, and production has stopped nationwide during the height of the epidemic. This study explores the effects of these COVID-19-derived changes on air quality in China. Air quality data of 367 cities around China were analyzed. The daily air quality index and air pollutant concentrations (CO, O3, NO2, SO2, PM10, and PM2.5) were collected and compared the epidemic period (23.1.2020-23.3.2020) with the preceding two months (22.11.2019-22.1.2020) and the parallel period the year before (23.1.2019-23.3.2019).To compare, we calculated the daily average number of cities with pollution, and the trend in air quality index change. The air quality in the 50 cities with the highest number of confirmed COVID-19 cases and Wuhan was also analyzed. During the period between 23.1.2020 and 23.3.2020, the number of cities with excellent air quality was significantly higher than that in the other two periods. The concentrations of PM2.5, PM10, NO2, SO2, CO, and O3 decreased significantly during this period. The most significant decreases were in PM10 and NO2. The number of cities with good air quality in the later period was significantly higher than a year before. The air quality has improved significantly during the COVID-19 outbreak. The reason for this change might be changes in human activities such as reduced transportation and production stoppage.
Sepsis-induced changes in spectral segregation and kinetics of brain oscillatory states
Authors: Kala Annu , Leemburg Susan , Jezek Karel 
Published: October 2022

Abstract
Sepsis-associated encephalopathy (SAE) is a frequent severe complication of sepsis and the systemic inflammatory response syndrome, associated with high mortality and long-term neurological consequences in surviving patients. One of the main clinical sings of SAE are discontinuous sleep periods that are fragmented by frequent awakening. Even though this brain state fragmentation strongly impacts the functionality of the nervous- as well as other systems, its underlying network mechanisms are still poorly understood. In this work, we therefore aim at characterizing the properties and dynamics of brain oscillatory states in response to SAE in an acute rat model of sepsis induced by high dose LPS (10 mg/kg). To focus on intrinsically generated brain state dynamics, we used a urethane model that spares oscillatory activity in REM- and NREM-like sleep states. Intraperitoneal LPS injection led to a robust instability of both oscillatory states resulting in several folds more state transitions. Using power spectra analysis we identified opposing shifts in low frequency oscillations (1–9 Hz) in REM and NREM-like states under influence of LPS. This resulted in increased similarity between both states. Moreover, the state-space jitter in both states increased as well, pointing to higher within-state instability. The reduction of inter-state spectral distances in 2-D state space, combined with increased within-state jitter might represent a key factor in changing the energy landscape of brain oscillatory state attractors, and hence lead to altered sleep architecture. Their emergence during sepsis might point to a mechanism underlying severe sleep fragmentation as described both in sepsis patients and SAE animal models.
Surgical Management In Accidental Ingestion of Jujube Pits in Children
Authors: Shi Hao , Lv Zhibao , Xu Weijue , Liu Jiangbin , Huang Xiong , Sheng Qingfeng , Chen Zhou , Zhu Linlin , Wu Yibo 
Published: October 2022

Abstract
Purpose: Accidental ingestion of jujube pits is rare in children due to worldwide differences in food habits and agricultural cultivation. With its special shape, jujube pits can insert intestinal wall which are easier to cause injury and perforation than other foreign bodies(FBs). This study aims to summarize our experience with surgical treatment of jujube pits ingestion in children.
Methods: We performed a retrospective analysis of the patients who were diagnosed as jujube pits ingestion and experienced surgery at pediatric general surgery department of Shanghai Children’s hospital between January 2014 to February 2022.Demographics and information regarding the characteristics of jujube pits, clinical presentation, treatment strategies were documented.
Results: A total of 11 pediatric patients with jujube pits were included in this study contains 7 males and 4 females. The mean age was 23.6 months. The frequent clinical presentations are vomiting and abnormal defecation. Computed tomography(CT) imaging revealed jujube pits in 10 patients. Four patients experienced abdominal surgery and a secondary ileostomy was performed in one patient. Eleven patients experienced anal or buttock surgery and colonoscopy. Two patients were admitted in surgery intensive care unit after surgery and the median hospital stay of all was 11.5 days(range 6-32 days).Patients discharged with normal fasting and defecation.
Conclusion: Jujube pits ingestion is rare and the clinical presentations can be variable depend on the injured position. CT imaging is recommended to locate the foreign bodies and identify positive findings. The diagnosis is confirmed when clear history of jujube pits ingestion was provided. When patients present with abnormal defecation, the possibility of foreign bodies ingestion should be considered. In symptomatic patients, surgery intervention should be applied timely.
Transforming Radical Differential Equations to Algebraic Differential Equations
Authors: Falkensteiner Sebastian , Sendra Juan Rafael 
Published: October 2022

Abstract
In this paper we present an algorithmic procedure that transforms, if possible, a given system of ordinary or partial differential equations with radical dependencies in the unknown function and its derivatives into a system with polynomial relations among them by means of a rational change of variables. The solutions of the given equation and its transformation correspond one-to-one. This work can be seen as a generalization of previous work on reparametrization of ODEs and PDEs with radical coefficients.
Enhanced Authentication Framework for Data Owner and Data Sharing in a Cloud Storage Environment
Authors: swathi Gundala 
Published: October 2022

Abstract
In the context of storage in a cloud computing environment involving huge streaming data from the physical, social and cyber worlds, there is a dire need for evolving a reliable and adequate framework to enable the users safely communicate with the cloud. Consequently, cloud storage should furnish several secure, cost-efficient and scalable services to manage the data. In general, public cloud service providers adhere to reasonably strict security considerations safeguarding the privacy and security of the users and their stored data. Meanwhile, the private cloud storage providers have developed a more robust, self-managed and regulated data security model for the users, to effectively manage private data accession and sharing. Yet, new challenges and concerns about data security persist. One such critical issue relates to the development of a secure and authenticated data storage model for data accession in a restricted and regulated environment. Eventually, several protocols emerged to negotiate this challenge. But these protocols have proved inadequate in security efficacy in the light of their lapses and susceptibility to diverse security breaches. Claiming significant resistance against such security threats and attacks, J. Mo et al. have advocated an authentication model for data access and sharing with a unique biometric feature. Here, we intend to disprove such claims and their limited validity in the context of the attacks on servers and user impersonation. Besides, do not ensure adequate user anonymity in their protocol. Because of this, we propose a more secure, efficient, convenient, and advanced protocol for data accession. In addition, to ensure flexible and owner-regulated data distribution, we provide the approach of proxy re-encryption and its key for the cloud server with enhanced security. During the process of decryption, the data owner can create a unique credential token to control user accession. In light of security analysis, our proposed protocol is proven to resist several security threats. Besides, a comparative performance evaluation establishes the superiority of our proposed protocol against many related approaches, in terms of addressing several security concerns, ease in communication and computation and cost efficiency in cloud storage.
Brain natriuretic peptide reflects volume status and influences on survival of hemodialysis patients
Authors: Hu Nan , Wang Jinwei , Chen Yuqing 
Published: October 2022

Abstract
Background

Periodic volume accumulation is a characteristic feature of hemodialysis. Aim of the study was to investigate the relatively normal range of brain natriuretic peptide (BNP) in hemodialysis patients and to explore its role in volume management.

Methods

Patients on hemodialysis were enrolled. Normal range of BNP was deduced from patients with normal volume status defined by systolic blood pressure (SBP) and over hydration (OH). Hemodialysis patients were classified according to BNP expression at baseline and followed-up for 57 months. The outcome was defined as all-cause mortality, and cardiovascular disease related death.

Results

Pre-dialysis BNP and BCM measurement was conducted in 127 hemodialysis patients. BNP significantly correlated with OH in total patients (r = 0.255, P = 0.004). In patients with appropriate volume load, the average of BNP was 701 (± 645)pg/ml, with the 95% confidence interval (CI) of 500 ~ 902pg/ml. In patients with BNP < 902pg/ml, SBP significantly correlated with OH. Patients with BNP ≥ 902/ml showed increased risk of all-cause mortality (HR = 3.151, P < 0.001) and cardiovascular mortality (HR = 7.381, P < 0.001). Reduced BNP expression during the first year after baseline resulted in significantly decreased all-cause mortality.

Conclusion

Pre-dialysis measured BNP levels are associated with volume status, and normal range is from 500 to 902pg/ml. Patients with upregulated BNP expression showed increased risk of all-cause mortality and cardiovascular death. To reduce BNP expression to normal range showed protective effect on all-cause and cardiovascular mortality in long-term observation.
Evaluation of Cost benefit Analysis using One-R Supervised Machine Learning Algorithm for Healthcare
Authors: Kavitha S , H Prasad N , Samal Chandra Kanta , Hanumanthappa M 
Published: October 2022

Abstract
Pandemic was present for the entire world from 2019 to 2020. Due to this reason the workload for doctors and other healthcare professionals were increased. This workload will be eased by machine learning and the development of computer-aided analytical systems. The goal of the proposed methodology is towards the prevalence of COVID-19 to cost/benefit predictions on real-life dataset. Our proposed methodology is given for weka classification for the accuracy measurement ratios by applying 1R machine learning classifiers Considering the development of clustering with positive and negative occurrences ratios in terms of cost-benefit analysis's initial care projections. In this study 1R Supervised Machine Learning Algorithm have been applied to Covid 19 dataset provided by healthcare organization. The best classification accuracy is obtained from the algorithm of 1R with 75.54%. In this paper visualization Cost/Benefit Analysis and also analysed.
CPG-52364 targeted TLR9 regulate lung injury induced by inflammation reaction resulting from elderly hip fracture caused mtDNA release
Authors: Yang Xiao , Ou Guangpeng , Li Bei , Liu Zhen , Zhou Di , Gan Li 
Published: October 2022

Abstract
Background- Acute lung injury (ALI) after elderly hip fracture is the serious and fatal complication, it is associated with inflammation induced by mtDNA release activates TLR9/NF-ƘB pathway after trauma. Inhibiting TLR9 pathway activation can alleviate the systemic inflammation and ALI after elderly hip fracture. In the first part of our study, we investigate the effect of the TLR9 inhibitor (CPG-52364) in the pathological process of inflammation and ALI after elderly hip fracture. In the second part of our study, we investigate the effect of CPG-52364 in the pathological process of inflammation and ALI induced by mtDNA.
Material and Methods- In the first part of our study, the elderly rats received hip fracture operations and CPG-52364 managed. The degree of lung injury and inflammation were evaluated, TLR9/NF-ƘB were determined using Western blot, and mtDNA were analyzed by fluorescent quantitative polymerase chain reaction. In the second part of our study, the elderly rats received mtDNA injection and CPG-52364 managed, the specimens were collected and detected as the first part.
Results- Both hip fracture and mtDNA injection can cause significant cytokines (IL-6 and IL-10) release, TLR9 and NF-ƘBp65 expression, and lung injury in the elderly rats. CPG-52364 can effectively down-regulate the expression of the above pathological indicators.
Conclusion- These results suggest that the CPG-52364 can down-regulate the TLR9/NF-ƘB pathway to control the inflammation and ALI induced by mtDNA release after elderly hip fracture.
Application the reduced method for Characterization the Photonic properties of amorphous Se79.13S11.41Te9.64 Nano thin film composition
Authors: Elsayed Samy A. , Khalifa Zaki 
Published: October 2022

Abstract
Application The reduced method of determination the photonic properties of solids on nano thin film chalcogenide composition Se79.13S11.41Te9.64 reveals that the refractive index (n) is wavelength (l) dependence. Cauchy dispersion equation is fit the obtained results of n = f (l) for all wavelength ranges. Cauchy dispersion coefficients are wavelength dependent. The optical energy gap is allowed indirect equals to 3.35 eV. And sup energy level in the gap equals to 1.4eV. From the dependence of extinction coefficient on l the Fermi level of the nano thin film Se79.13S11.41Te9.64 is determined equals to 2.22eV. The single oscillator model, the effective dispersion oscillator energy Eo = 0.26eVand the dispersion energy Ed is determined Ed =0.94eV and explained in detail. The cause of dependence of the Cauchy coefficients on the incident photon energy is given. Applying Wemple- DiDomenico single oscillator model the following results determined no =2.15, the static dielectric constant eo =4.62 and the . The bond type, and the dangling bond effects on energy band tail states and the optical properties of the nano thin film chalcogenide composition Se79.13S11.41Te9.64.
Green synthesis of copper oxide nanoparticles using Spinacia oleracea leaf extract and evaluation of biological applications: antioxidant, antibacterial, larvicidal and biosafety assay
Authors: Thandapani Gomathi , K Arthi , P Pazhanisamy , J John Joseph , C Vinothini , V Rekha , K Santhanalakshmi , Vijayakumar Sekar 
Published: October 2022

Abstract
Copper nanoparticles (Cu-NPs) recently engrossed the attention of investigators due to their incredible features and numerous applications in the pharmacological industry. This research work focuses on the manufacture of copper oxide nanoparticles in an aqueous media utilizing Spinacia oleracea leaf extract. Various analytical methods like UV/Vis Spectroscopy, FT-IR spectroscopy, X-Ray diffraction studies, SEM analysis were utilized to identify structure of the CuO nanoparticles produced. The CuO nanoparticles exhibited significant bactericidal action towards Staphylococcus aureus, Escherichia Coli, proteus, klebsiella & potential antifungal activity towards A.flavus, Rhizopus & A.fumigant. Furthermore,the synthesized CuO nanoparticles have significant larvicidal activity towards Culex. Quinquefasciatus. This research shows that CuO can be synthesized in a simple, environmentally friendly way and has a wide range of uses.
Effects of Muscle Volume on the Jumping Performance in Males and Females
Authors: Bchini Souhail , Hammami Nadhir , Zalleg Dalenda , Bouassida Anissa 
Published: October 2022

Abstract
Background

A significant impact on the training process is caused by sex-specific differences that emerge throughout puberty. However, it is still unclear what impact this should have on how training programs are planned, implemented, and set goals for boys and girls of different ages.

Purpose

To study the relationship between vertical jump performance and muscle volume, considering age and sex factors.

Methods

90 healthy male and 90 healthy female participants (aged 9 to 22 years) performed three different types of vertical jumps: squat jump, counter movement jump without and with arm swings. A standard Anthropometric method was used to measure the muscle volume.

Results

Muscle volume was different across age groups. For both sexes in the Squat Jump, Counter Movement Jump, and Counter Movement Jump arms, significant age, sex, and interaction effects were found. From the age of 14–15, Males performed significantly better than females (p = 0.001). These differences persisted when performances were normalized to the length of lower limbs’. Following normalization to muscle volume males elicited better performance when compared to females. This difference persisted only for the 20–22 age group in Squat Jump (p = 0.005), Counter Movement Jump (p = 0.022) and in Counter Movement Jump with arms (p = 0.016). Significant correlation occurred between Muscle Volume and Squat Jump (r = 0.70; p < 0.01), Counter Movement Jump (r = 0.70; p < 0.01) and Counter Movement Jump with arms (r = 0.55; p < 0.01) for male participants.

Conclusions

The muscle volume appeared to be the determining factor in intersexual differences in vertical jumping performances.