bluuebunny/crossref_metadata_2025_split huggingface dataset:
On Reducing Energy Cost Consumption in Heterogeneous Cellular Networks using Optimal Time Constraint Algorithm
Authors: Kalpana V , Mishra Divyendu Kumar , Chanthirasekaran K. , Haldorai Anandakumar , Nath Srigitha. S. , Saraswat Bal Krishna 
Published: November 2021

Abstract
The increasing data demand in recent years has resulted in a considerable rise in heterogeneous cellular network energy usage. Advances in heterogeneous cellular networks with renewable energy supplied from base stations offer the cellular communications sector interesting options. Rising energy consumption, fuelled by huge growth in user count as well as usage of data, has emerged as the most pressing challenge for operators in fulfilling cost-cutting and environmental-impact objectives. The use of minimum power relay stations or base stations in conventional microcells is intended to lower cellular network's total energy usage. We examine the reasons, difficulties, and techniques for addressing the energy cost reduction issue for such renewable heterogeneous networks in this paper. Because of the variety of renewable energy as well as mobile traffic, then the issue related to a reduction in energy cost necessitates both spatial and temporal resource allotment optimization. In this paper, we proposed a new technique for reducing the energy consumption cost using the optimal time constraint algorithmic approach. We demonstrate that the proposed method has time as well as space complexity. Experimental simulations on actual databases with synthetic costs are used to confirm the usefulness and efficacy of our method.
FrWCSO-DRN: Fractional Water Cycle Swarm Optimizer-based deep residual network for pulmonary abnormality detection from respiratory sound signal
Authors: DAR JAWAD AHMAD , srivast Kamal Kr , Lone Sajaad Ahmad 
Published: November 2021

Abstract
Respiratory sounds disclose significant information regarding the lungs of patients. Numerous methods are developed for analyzing the lung sounds. However, clinical approaches require qualified pulmonologists to diagnose such kind of signals appropriately and are also time consuming. Hence, an efficient Fractional Water Cycle Swarm Optimizer-based Deep Residual Network (FrWCSO-based DRN) is developed in this research for detecting the pulmonary abnormalities using respiratory sounds signals. The proposed FrWCSO is newly designed by the incorporation of Fractional Calculus (FC) and Water Cycle Swarm Optimizer WCSO. Meanwhile, WCSO is the combination of Water Cycle Algorithm (WCA) with Competitive Swarm Optimizer (CSO). The respiratory input sound signals are pre-processed and the important features needed for the further processing are effectively extracted. With the extracted features, data augmentation is carried out for minimizing the over fitting issues for improving the overall detection performance. Once data augmentation is done, feature selection is performed using proposed FrWCSO algorithm. Finally, pulmonary abnormality detection is performed using DRN where the training procedure of DRN is performed using the developed FrWCSO algorithm. The developed method achieved superior performance by considering the evaluation measures, namely True Positive Rate (TPR), True Negative Rate (TNR) and testing accuracy with the values of 0.963, 0.932, and 0.948, respectively.
Validity as a Measure of Data Quality in Internet of Things Systems
Authors: Pandey Rishabh Deo , Snigdh Itu 
Published: November 2021

Abstract
Data quality became significant with the emergence of data warehouse systems. While accuracy is intrinsic data quality, validity of data presents a wider perspective, which is more representational and contextual in nature. Through our article we present a different perspective in data collection and collation. We focus on faults experienced in data sets and present validity as a function of allied parameters such as completeness, usability, availability and timeliness for determining the data quality. We also analyze the applicability of these metrics and apply modifications to make it conform to IoT applications. Another major focus of this article is to verify these metrics on aggregated data set instead of separate data values. This work focuses on using the different validation parameters for determining the quality of data generated in a pervasive environment. Analysis approach presented is simple and can be employed to test the validity of collected data, isolate faults in the data set and also measure the suitability of data before applying algorithms for analysis.
Orthogonal interlayer coupling in an all-antiferromagnetic junction
Authors: Zhou Yongjian , Liao Liyang , Guo Tingwen , Bai Hua , Zhao Mingkun , Wan Cai-Hua , Huang Lin , Han Lei , Chen Ruyi , Zhou Zhiyuan , Han Xiufeng , Pan Feng , Song Cheng 
Published: November 2021

Abstract
The interlayer coupling of two ferromagnetic layers results in found of giant magnetoresistance, which forms the foundation of spintronics and accelerates the development of information technology. Compared with ferromagnets, antiferromagnets (AFMs) possess huge potential in ultrafast and high-density data processing and information storage because of their terahertz spin dynamics and subtle stray field. The interlayer coupling in AFMs has long been neglected, because the collinear parallel and antiparallel arrangements of AFMs are indistinguishable. However, the noncollinear interlayer coupling in AFMs is detectable, and can be a potential candidate for practical antiferromagnetic spintronic devices. Here we demonstrate orthogonal interlayer coupling at room temperature in an all-antiferromagnetic junction Fe2O3/Cr2O3/Fe2O3, where the Néel vectors in the top and bottom functional materials Fe2O3 are strongly orthogonally coupled and the coupling strength of which is significantly affected by the thickness of the antiferromagnetic Cr2O3 spacer. From the energy and symmetry analysis, the direct coupling via uniform magnetic ordering is excluded. The coupling is proposed to be mediated by quasi-long range order in the spacer. Besides the fundamental significance, the strong coupling in an antiferromagnetic junction makes it a promising building block for practical antiferromagnetic spintronics with high-speed operation and ultrahigh-density integration.
Faecalibacterium predicts postprandial glucose control following potatoes in overweight females
Authors: Fong Joy Nolte , Miketinas Derek , Moore Linda W. , Nguyen Duc T. , Graviss Edward A. , Ajami Nadim , Patterson Mindy A. 
Published: November 2021

Abstract
Background: Individual glycemic responses following dietary intake result from complex physiological processes and can be influenced by physical properties of foods, such as increased resistant starch (RS) from retrogradation of starch upon cooling after cooking. Predictive equations are needed to provide personalized recommendations for those individuals most at risk for poor metabolic outcomes. Methods: Thirty overweight women with no comorbid conditions participated in this randomized crossover trial, in which the women consumed 250g of hot (9.2 g RS) or cold (13.7 g RS) potatoes. Baseline characteristics included demographics, 10-day dietary records, body composition, and the relative abundance (RA) and α-diversity of gut microbiota. Elastic net regression using 5-fold cross-validation predicted postprandial glucose response (PPGR; incremental AUC0-120min) following the potatoes. Results: Thirty participants (29.6 ± 6.0 yrs; BMI 32.8 ± 3.7 kg/m2) participated in this trial. Most women (70%) showed a favorable PPGR to the cold potato. The model explained 32.2% of the variance in iAUC0-120min glucose with the equation: 547.65 x (0 [if cold potato], x 1 [if hot potato]) + (BMI[kg/m2] x 40.66) - (insoluble fiber[g] x 49.35) + (Bacteroides[RA] x 8.69) - (Faecalibacterium[RA] x 73.49) - (Parabacteroides[RA] x 42.08) + (α-diversity x 110.87) + 292.52.Conclusion: This model improves understanding of baseline characteristics that explain interpersonal variation in PPGR following potato intake and offers a tool to optimize dietary recommendations for a commonly consumed food. Larger studies are warranted to expand generalizability and application of the equation. Trial Registration: The National Clinical Trials number is NCT03310476, and this study was registered with clinicaltrials.gov on Oct 16, 2017.
In Vitro Propagation And Rejuvenation of Senescent Maternal Plant of Ardisia Crenata Var. Bicolor (Primulaceae)
Authors: Ai Xingmei , Wen Yonghui , Wang Chao 
Published: November 2021

Abstract
Ardisia crenata var. bicolor is an ornamental shrub, owing to its declined wild population, recalcitrant seeds and few high-quality cuttings, the main objective of this study was to optimize an in vitro propagation protocol by using tip shoot and nodal segment as explants from senescent plant. Explants were sterilized and cultured on Muraghige and Skoog medium contained 1.0 mg·L-1 benzylaminopurine and 0.05 mg·L-1 1-naphthaleneacetic acid for shoot initiation. For shoot proliferation, explants were cultured on MS medium with 1.0 mg·L-1 BAP, 0.1 mg·L-1 NAA, and 0.5 mg·L-1 kinetin, and the proliferation coefficient were 3.1 and 2.5. Rooting was achieved by two explants in half-strength MS medium containing 0.5 mg·L-1 indole-3-butyric acid + 0.1 mg·L-1 or 0.2 mg·L-1 NAA, and 0.5 g·L-1 activated charcoal. The highest rooting rate were 72.7% and 65.1% with the highest mean number of roots (4.2 and 2.8, respectively). After acclimatization, 83.3% and 81.2% of plants were survived in the greenhouse. The plant can be rejuvenated via in vitro propagation and provide a reference for supplying the planting materials quickly with an uniform genotype.
DNA Methylation and SNPs of ABCA1 Gene Promoter Affect Gene Expression and Involve in the Pathological Mechanism of Ischemic Stroke
Authors: Li Zhihao , Wang Jun , Zhou Baixue , Liu Yang , Zhang Zhaojing , Yang Shangdong , Luan Yingying , Huang Yanyang , Peng Yue , Han Tianyi , Xu Yan , Jia Jing , Yang Dongzhi , Li Aifan , He Ying , Song Guoying , Zheng Hong 
Published: November 2021

Abstract
ATP binding cassette subfamily A1 (ABCA1) is a key protein in the formation of mature high density lipoprotein (HDL), which plays a crucial role in atherosclerosis. Accumulating evidence has shown that the expression levels of the ABCA1 gene are upregulated in ischemic stroke (IS) patients. However, the mechanism remains elusive. We hypothesized that DNA methylation and SNPs of ABCA1 gene promoter affect the expression levels of ABCA1 gene and involve in the pathological mechanism of IS. 100 patients with IS and 100 healthy controls were enrolled in the present study. Initially, the mRNA expression levels of ABCA1 gene were examined by qPCR and the methylation levels was detected by MethyTarget sequencing. Then, rs1800976, rs1800977, rs2246298, rs2437817, rs2740483, rs539621172 in promoter region of ABCA1 gene were selected for genotyping. Finally, the relationship between the methylation of ABCA1 gene and gene expression was verified by constructing THP-1 foam cell model. The mRNA expression levels of ABCA1 gene in the IS group were significantly higher than those in controls (P<0.05). 17 CpG sites in the promoter of ABCA1 gene were analyzed and the DNA methylation levels of CpG1, CpG7 and CpG15 sites in IS group was significantly lower than control group (P<0.05). Rs2740483, rs1800977 and rs2437817 were significantly correlated with CpG1. Rs1800977 was significantly correlated with CpG3. In summary, DNA methylation and rs2740483, rs1800977, rs2437817 of ABCA1 gene promoter affect the expression levels of ABCA1 gene, change the clearance rate of intracellular lipids, and participate in the pathogenesis of IS.
Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
Authors: Cong Nguyen Thanh , Thoa Pham Thi Thieu , Tien Dung Hoang 
Published: November 2021

This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586 and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining process
IMPLICATIONS OF SPRAWLED AND COMPACT DEVELOPMENT ON MOBILITY PATTERNS: A CASE-STUDY OF BHOPAL, INDIA
Authors: Saxena Neha , Bara Chidam 
Published: November 2021

Cities across the world are witness to increasing phenomenon of urban sprawl. The paper contends that sprawl affects mobility in terms of increased dependence on private motor vehicle which is high in energy use and carbon emissions. The study is based on primary investigation of three neighbourhoods in Bhopal city (India), the first two lying within the city in varying contexts and the third outside the present city limits which can be classified as a sprawl. The analysis throws significant light on the changes in mobility pattern in areas with more compact development vis-Ã -vis those that have sprawled with relatively lower densities. It shows that densely populated areas having mixed use has higher share of walk trips and that the average trip length is higher in lower density areas in sprawls. The study further examines the role of land use planning, zoning regulations and urban form in encouraging sustainable mobility.
SILICA IODIDE CATALYZED ULTRASOUND ASSISTED ONE-POT THREE-COMPONENT SYNTHESIS OF 3,4-DIHYDROPYRIMIDINE-2-(1H)-ONES/-THIONES
Authors: Khanum Amreen , Khan Riyaz-ur-Rahaman , M Mangalavathi , Pasha Mohamed Afzal 
Published: November 2021

Aim and objective: A single-pot three-component reaction for a competent preparation of biologically active 3,4-dihydropyrimidineones/-thiones using Silica Iodide (SiO2-I) as a reliable and reusable heterogeneous catalyst is developed.
Methods: The reaction proceeds via condensation of araldehydes, urea/thiourea, ethyl acetoacetate in ethanol under ultrasonic condition to afford the target molecules in best yields. The reaction proceeds in 30 min and SiO2-I has shown high proficiency in performing this single-pot Biginelli reaction.
Results: The use of catalytic SiO2–I (0.1 g) accelerated the reaction and gave the product in excellent yield. Maximum yield of the product was found to be 96% in ethanol
Conclusion: Study concludes the used method has shown many advantages, mild condition, short duration, simple isolation and best yields of products.

Peer Review History:
Received: 10 September 2021; Revised: 18 October; Accepted: 02 October, Available online: 15 November 2021
Academic Editor: Ahmad Najib, Universitas Muslim Indonesia, Indones
UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency.
Received file: Reviewer's Comments:
Average Peer review marks at initial stage: 5.5/10
Average Peer review marks at publication stage: 7.0/10
Reviewers:
Prof. Dr. Hassan A.H. Al-Shamahy, Sana'a University, Yemen, shmahe@yemen.net.ye
Dr. Sunita Singh, Baylor College of Medicine, Houston, Texas, USA, sunita.nccs@gmail.com
Idoko Alexander, Caritas University, Enugu, Nigeria, idokoalexander1@gmail.com
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GREEN, RAPID, SIMPLE, AND AN EFFECTIVE ONE-POT MULTICOMPONENT STRATEGY FOR SYNTHESIS OF NOVEL DIHYDROPYRANO[2,3-C]PYRAZOL-6-AMINES IN AQUEOUS MEDIUM
Translating Prepositions from Russian Legal Texts Into English: An Analysis of the Corresponding Interference Zones for Teaching Purposes
Authors: Chiknaverova Karine 
Published: November 2021

Abstract
Various aspects of prepositions translation have been primarily investigated in the framework of translation theory. Applied research is mostly focused on translating particular groups of prepositions against the background of plain language. Legal translation researchers have not yet comprehensively analysed peculiarities of translating Russian prepositions used in legal texts into English. The paper is an attempt to investigate the difficulties which Russian learners can encounter when translating prepositions from Russian commercial contracts into English. Methods employed include language typology comparison, continuous sampling technique, language corpus data analysis as applied to language error forecast and prevention. The material selected for analysis – Russian commercial contracts – is chosen in accordance with the principles of professionalism, globalization, specialisation as well as graduates’ employment opportunities. The author develops a classification of prepositions drawing upon their structural, grammar and semantic functions in the texts of Russian commercial contracts. The findings reveal negative interference zones that can potentially cause preposition errors. Feasibility of the forecast is confirmed by the analysis of real learners’ errors. The research concludes that modelling legal translation teaching which takes into account potential interference zones for students can contribute to shifting focus to problem zones while teaching, raising students’ awareness, and therefore acting as propedeutics of the corresponding errors.
The Introduction and Experiences of Methadone for Treatment of Cancer Pain at a Low-resource Governmental Cancer Center in India
Authors: Palat Gayatri , Algotsson Charlotte , Rayala Spandana , Gebre-Medhin Maria , Brun Eva , Segerlantz Mikael 
Published: November 2021

Objectives:
This study aimed to describe the clinical experience of the health-care professionals (HCPs) responsible for the introduction of methadone, for the treatment of complex cancer pain, at a low-resource hospital in India in a patient-group, burdened by illiteracy, and low socio-economic status.

Materials and Methods:
Ten HCPs: Four medical doctors, four nurses, one pharmacist, and one hospital administrator were interviewed. The interviews are examined using a qualitative conventional content analysis.

Results:
The interviews showed a confidence amongst the HCPs, responsible for the safe introduction of methadone in a stressful and low-resource surrounding, to patients with cancer pain and the different aspects of methadone, as initiation, titration, and maintenance of treatment.

Conclusion:
Introduction of methadone for cancer pain management is safe and feasible although low resources in a challenging hospital setting and care environment.
EVALUATION OF THE NUTRITIONAL VALUE OF BAKERY MIXES AND GRAIN BREAD ON THEIR BASIS
Authors: АЛЕХИНА Н.Н. , ПОНОМАРЕВА Е.И. , ЖАРКОВА И.М. , ПОЛЯНСКИЙ К.К. , ЖЕЛТИКОВА А.С. 
Published: November 2021

Проведена сравнительная оценка хлебопекарных смесей (ХПС) Ливенка и Амарантус, включающих биоактивированное зерно пшеницы и ржи и биоактивированные злаковые культуры и амарантовую муку соответственно, и хлеба на их основе. Исследованы химический состав, биологическая и энергетическая ценность ХПС и выпеченных на их основе образцов зернового хлеба Ливенский и Амарантус. Установлено, что ХПС Амарантус и хлеб Амарантус отличаются несколько большим содержанием белка, кальция, лизина по сравнению с ХПС Ливенка и хлебом Ливенский. Однако по количеству пищевых волокон и витаминов ХПС с амарантовой мукой и изделия на ее основе несколько уступают образцам, приготовленным без добавки амарантовой муки. Внесение амарантовой муки в дозировке 5,5% взамен части ржаной муки незначительно повышает энергетическую и биологическую ценность ХПС и хлеба на ее основе. Установлено, что ХПС Ливенка и Амарантус относятся к функциональным пищевым ингредиентам за счет содержания значимого количества биологически активных веществ, а изделия на их основе – к функциональным пищевым продуктам.
Comparative evaluation of baking mixes (BM) of Livenka and Amarantus, including bioactivated grains of wheat and rye and bioactivated cereals and amaranth flour, respectively, and bread on their basis was carried out. Chemical composition, biological and energy value of BM and baked on their basis samples of grain bread Livenskiy and Amarantus were investigated. It is established that the BM Amarantus and bread Amarantus are slightly high content of protein, calcium, lysine, compared with BM Livenka and bread Livenskiy. However, the number of dietary fibers and vitamins BM with amaranth flour and products on it based are concede to samples a little prepared without the addition of amaranth flour. The introduction of amaranth flour in a dosage of 5,5% instead of a portion of rye flour slightly increases the energy and biological value of BM and bread on it based. It was found that the BM Livenka and Amarantus are functional food ingredients due to the content of a significant amount of biologically active substances, and products on their based – to functional foods.