bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of Anemia Among Pregnant Women Attending Antenatal Care in Bale-Robe Town Health Facilities, Bale zone, Southeast Ethiopia: A Case-Control Study
Authors: Badeso Mohammed Hasen , Kalili Falaho Sani , Abdulle Mohammed Seid 
Published: November 2021

Abstract
IntroductionIn Ethiopia, the prevalence of anemia in pregnant women differs geographically and ranged from 15.8–56.8%. The objective of this study is to identify the determinants of anemia among pregnant women attending antenatal care in health facilities of Bale-Robe Town, Southeast Ethiopia.MethodsA facility-based case-control study was conducted in Bale-Robe hospital and Baha-biftu health center in Bale-Robe, Southeast Ethiopia. A total of 282 pregnant women participated in the study (141 cases and 141 controls). Cases were pregnant women with altitude-adjusted hemoglobin value < 11.0 g/dl at the first and third trimesters, and < 10.5 g/dl at the second trimester. Controls were pregnant women with hemoglobin value ≥ 11.0 g/dl at first and third trimesters and ≥ 10.5 g/dl at the second trimester. A structured and pretested questionnaire was used to collect data. A multivariable logistic regression analysis was applied to assess the determinants of anemia. Determinants were categorized as sociodemographic and economic, obstetric and medical, and dietary intake and behavioral.ResultsHousewife occupation (AOR=2.1, 95% CI=1.12-3.92), prolonged menstrual bleeding (AOR=2.33, 95% CI=1.38-3.92) and undernutrition (AOR=4.03, 95% CI=1.38-11.83) were factors significantly associated with anemia in pregnant women.ConclusionHousewife occupation, prolonged menstrual bleeding, and malnutrition were the determinants of anemia in pregnant women. Hence, anemia prevention and control strategy in pregnant women should include adequate dietary intake, and strengthening nutritional counseling for pregnant women during antenatal care is also required by the health care provider.
Mesoscopic collective dynamics in liquids and the Dual Model
Authors: Peluso Fabio 
Published: November 2021

Abstract
In the present article it is shown how a series of experimental evidences and theoretical developments on liquid modelling, gathered for the first time, can all be framed in a mesoscopic view of liquids that are hypothesized as constituted by a population of wave packets, responsible for the propagation of elastic and thermal perturbations, and of dynamic aggregates of molecules, in continuous re-arrangement, diving in an ocean of amorphous, disordered liquid. This model, dubbed Dual Model of Liquids (DML), is complementary to the Phonon theory of Liquid Thermodynamics (PLT), recently proposed by an independent group. The pseudo-crystalline dynamic structures, evidenced by high energy inelastic scattering experiments, interact with a statistical population of harmonic elastic waves and anharmonic wave-packets propagating within and among the structures themselves, respectively. The expression for the interaction term is derived from “first principles” based on general considerations related to the pressure exerted by elastic waves travelling in condensed media. The anharmonic character of the interaction allows the exchange not only of energy but also of momentum between wave packets and clusters, thus determining both the displacement of the latter within the medium, and the redistribution of the energy between external, or translatory degrees of freedom of the clusters, and internal collective, vibratory degrees. Using these concepts it is possible to calculate some dynamic and thermodynamic quantities concerning the dynamics of liquids. Moreover, the interpretation of the relaxation times of the processes involved in momentum and energy transport is given, their Order-of-Magnitude is calculated, and the way in which these times are involved in the different phases of the collective dynamics of liquids is discussed. A comparison is provided with results obtained in the frame of PLT and with the forecasts for the visco-elastic transition regions, in particular with systems exhibiting k-gap.In the last part of the paper, theoretical developments and experiments are suggested that should be performed to provide additional details to the model.
A Correlation Study of Sustainable Development Goal (SDG) Interactions
Authors: pakkan sheeba , Sudhakar Christopher , Tripathi Shubham , Rao Mahabaleshwara 
Published: November 2021

Abstract
As universities are the change agent of society, institutions from all nations set their goals to transform the world by exploring various societal challenges that humans are facing. Together, the higher education systems across the world developing strategies based on the United Nations’ Sustainable Development Goals (SDGs). This paper assesses the influence of 16 SDGs on each other paving the way for the universities to set a clear goal in attaining Sustainable Development goals by 2030. To analyze the SDGs interactions towards each other, 201844 research publications from India during five years on 16 SDGs are retrieved from the Scopus database. Spearman Rank Correlation is applied to understand the contribution of each SDG towards one another. We could observe converging results out of the interactions among the SDGs. A significant positive and moderately positive correlation between pairs of SDGs are identified. While a significant number of negative correlation is also classified which need deep thinking among researchers to make it positively correlated. The most frequent interactions between SDGs is a positive sign to any university in strategising the goal towards SDGs. The association of all university stakeholders and some constitutional and cultural changes are necessary to put SDGs at the core of the management of the university. Embracing this task by researchers will improve the overall performance of universities.
Cold Start Aware Hybrid Recommender System Approach for E-Commerce Users
Authors: Patro S Gopal Krishna , Mishra Brojo Kishore , Panda Sanjaya Kumar , Kumar Raghvendra , Long Hoang Viet , Taniar David 
Published: November 2021

Abstract
Collaborative Filtering (CF) schemes are very popular in Recommender System (RS) and offer specialized suggestions to users in e-commerce and social websites. But, they suffer from the Cold Start Problem (CSP) that occurs due to the lack of sufficient information about the new customers, purchase history, and browsing data. Moreover, data sparsity problems may arise when the interaction is made among a limited amount of items. This not only poses a negative impact on recommendation but also significantly condenses the diversity of choices available in the particular platform. To tackle these issues, a novel methodological approach called Sparsity and Cold Start Aware Hybrid Recommended System (SCSHRS) is designed to suppress data sparsity and CSP in RS. The proposed SCSHRS methodology comprises four stages. At the initial stage, the data sparsity is reduced and at stage 2, the similar users are grouped by Ant-Lion based k-means clustering. At stage 3, Higher-Order Singular Value Decomposition (HOSVD) method decomposes the data to a lesser dimension. At the final stage, the Adaptive Neuro-Fuzzy Inference System (ANFIS) uses IF-THEN rules and machine learning abilities to predict the output. The performance of the proposed SCSHRS method is tested on MovieLens-20M, Last. FM, and Book-Crossing datasets and compared with the prevailing techniques. Based on the evaluation report, the proposed SCSHRS system gives Mean Absolute Percentage Error (MAPE) of 40%, and, precision (0.16), recall (0.08), F-measure (0.1), and Normalized Discounted Cumulative Gain (NDCD) of 0.65. Hence, SCSHRS is proved to be a more efficient means of recommendation against cold start and sparsity problems.
Identification and Characterization of a Novel Potyvirus Infecting Paris Yunnanensis
Authors: Lan Pingxiu , He Peng , Cao Mengji , Zhou Guohua , Li Chenrong , Tan Guanlin , Chen Xiaojiao , Yang Jie , Wei Taiyun , Li Fan 
Published: November 2021

Abstract
The complete genomic sequence of a novel potyvirus from Paris yunnanensis was determined by high-throughput sequencing then confirmed by Sanger sequencing. Its genomic RNA consists 9600 nucleotides (nt) excluding the 3’-terminal poly (A) tail, containing a typical large open reading frame (ORF) of potyviruses and encoding a putative polyprotein of 3098 amino acids (aa). Pairwise comparison analysis showed the virus shares sequence identity with other members of Potyvirus was 53.0% to 57.8% at genome sequence level, and 39.3% to 51.2% at polyprotein sequence level. Phylogenetic analysis indicated that the virus was most closely related to the subgroup of plum pox virus and that of chilli veinal mottle virus within the genus Potyvirus. These results suggest that the virus should be considered as a distinct species within the genus Potyvirus and was tentatively named as “Paris mottle associated virus” (PMaV).
Designing Multi-Layer Security Using Chaotic Map in Cloud Environment
Authors: Rezaei Azita , Broumandnia Ali , Mirabedini Seyed Javad 
Published: November 2021

Abstract
Security level is a major subject that is considered rapidly. Major solution is focus on fault prevention against attacks. Many applications are monitored by fault tolerance. This implies clients have intend to tailor their application in special environment. This paper introduces an innovative on creating and managing security level that leads to boost service provider’s confidence and user satisfaction. This method allows user to specify and apply their security layer without requiring any knowledge about its implementation with SLA. This study proposes a multi- layer security that includes four main steps: Data Segmentation, Making Fake Services, Heuristic chaotic mapping and private key (PK) segment and Cryptography Code. PK is performed by chaotic maps and broker uses MQTT framework to facilitate security parameters. Experimental results show that the solution can balance the performance and security ranking and the propose scheme demonstrate security penalty cost is descended by 77%; the total penalty cost is decreased by 61.41% and the user satisfaction is grown by 60.67%. As a result, it ascends demanding and performance in cloud computing, compared with exiting approaches in encryption theories.
Consumption and Impacts of Water-Borne Polypropylene Microplastics on Daphnia Similis
Authors: Jeyavani Jeyaraj , Sibiya Ashokkumar , Gopi Narayanan , Mahboob Shahid , Al-Ghanim Khalid A. , Al-Misned Fahad A. M. , Ahmed Zubair , Riaz Mian Nadeem , Palaniappa Balasubramanian , Govindarajan Marimuthu , Vaseeharan Baskaralingam 
Published: November 2021

Abstract
Polypropylene microplastics are the primary pollutant in aquatic ecosystems and their toxicity assessment study remains limited. The proposed study focuses on acute exposure of polypropylene microplastic in Daphnia similis, which alters the biochemical parameter due to the accumulation of microplastics in the digestive tract. Moreover, the commercially available polypropylene bags have been converted into microplastic using xylene. FTIR results showed the absence of xylene residue in prepared microplastics particles and it was spherical shaped, size range (FE-SEM) from 11.86µm – 44.62µm. The outcome of the impact reveals that acute exposure to polypropylene microplastic in D. similis leads to immobilization. Further, the biochemical results showed that ingestion of microplastics increases reactive oxygen species (ROS) production. This leads to an increase in the antioxidant enzymes of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) and a non-antioxidant enzyme of reduced glutathione (GSH) and also oxidative stress effects in lipid (lipid peroxidation - LPO), protein (Carbonyl protein - CP) gradually increases due to production of free radicals in D. similis. In addition, the neurotransmitter enzyme acetylcholinesterase (AChE) level diminished. These results reflect that accumulation of polypropylene microplastic should exacerbate harmful pollutants on filter-feeding organisms.
Assessing Enzyme Immobilization on Reverse Asymmetric Membranes and Biocatalytic Reactor Performance
Authors: Zahirulain Amirah Syakirah , Marpani Fauziah , Pauzi Syazana Mohamad , Rahim 'Azzah Nazihah Che Abd , Cao Hang Thi Thuy , Alias Nur Hashimah , Othman Nur Hidayati 
Published: November 2021

Abstract
Integration of membrane filtration and biocatalysis has appealing benefits in terms of simultaneous substrate conversion and product separation in one reactor. Nevertheless, the interaction between enzymes and membrane is complex and the mechanism of enzyme docking on membrane is similar to membrane fouling. In this study, focus is given on the assessment of enzyme immobilization mechanism on reverse asymmetric polymer membrane based on the permeate flux data during the procedure. Evaluation of membrane performance in terms of its permeability, fouling mechanisms, enzyme loading, enzyme reusability and biocatalytic productivity were also conducted. Alcohol Dehydrogenase (EC 1.1.1.1), able to catalyze formaldehyde to methanol with subsequent oxidation of NADH to NAD was selected as the model enzyme. Two commercial, asymmetric, flat sheet polymer membranes (PES and PVDF) were immobilized with the enzyme in the reverse mode. Combination of concentration polarization phenomenon and pressure driven filtration successfully immobilized almost 100% of the enzymes in the feed solutions. The biocatalytic membrane reactor recorded more than 90% conversion, stable permeate flux with no enzyme leaching even after 5 cycles. The technique showing promising results to be expanded to continuous membrane separation setup for repeated use of enzymes.
Parametric Investigation of EP To Enhance Surface Characteristics of Maraging Steel With Organic Electrolyte
Authors: Kumar Abhinav , Kumar Suraj , Das Manas 
Published: November 2021

Abstract
Maraging steel 300 is widely used in aircraft, tools, and automotive industries, which requires a polished surface for better performance. In conventional methods of polishing, the abrasives directly contact the workpiece surface and deteriorate its property. Thus, a non-conventional method like Electropolishing (EP), is utilized to finish maraging steel with acetic acid (99.7 wt.%) and perchloric acid (70 wt.%) mixed in the volume of 3:1. Linear sweep voltammetry (LSV) is performed to determine the passive region that gives the best electropolishing performance. Different parameters, namely temperature, agitation, and polishing time and their effect on surface roughness and surface reflectance, are observed during EP. The optimized process parameters which give the best EP performance are the temperature at 60ºC, rotation of magnetic stirrer at 400 rpm, and polishing time of 6 minutes. An improvement of 56% in surface roughness and 60% in surface reflectance from its initial value of 21% is observed. EP makes the surface hydrophilic as the contact angle changes from 111.2º to 68.6º. Energy-Dispersive X-Ray Spectroscopy analysis suggests that after EP, a metal oxide layer forms on the surface which helps in increasing corrosion resistance.
Effect of Mirogabalin on Chemotherapy-induced Peripheral Neuropathy Caused by Gemcitabine Plus Nab-paclitaxel Therapy in Pancreatic Cancer Patients: A Pilot Study
Authors: Takasaki Yusuke , Fujisawa Toshio , Ushio Mako , Takahashi Sho , Yamagata Wataru , Suzuki Akinori , Ito Koichi , Ochiai Kazushige , Tomishima Ko , Ishi Shigeto , Isayama Hiroyuki 
Published: November 2021

Abstract
PurposeGemcitabine/nab-paclitaxel therapy (GnP) is widely used to treat pancreatic cancer (PC), but chemotherapy-induced peripheral neuropathy (CIPN) is common. Mirogabalin is a novel drug for treating peripheral neuropathy. We investigated the effects of mirogabalin on CIPN due to GnP.MethodsPatients who had received GnP for PC and had taken mirogabalin for CIPN, were included. Patients completed a questionnaire about their symptoms before and after taking mirogabalin. The outcome was the change in numbness and tingling scores on the patient-reported outcomes version of the Common Terminology Criteria for Adverse Events, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Chemotherapy-Induced Peripheral Neuropathy (EORTC-QLQ-CIPN20), numerical rating scale, and adverse events (AEs).ResultsIncreased numbness and tingling severity (1.84 vs. 1.76; P=0.63) and interference (1.42 vs. 1.44; P=0.80) were not seen in any of the 25 enrolled patients. The scores on the sensory subscale of the EORTC-QLQ-CIPN improved significantly after treatment (17.5 vs. 15.7; P=0.02). AEs occurred in 22 patients (88%), but there were no serious AEs (≥ grade 3).ConclusionsMirogabalin may control the progression of CIPN caused by GnP and significantly improved sensory neuropathy. However, since the incidence of AEs is high, mirogabalin should be used with caution.
Body Mass Index and Serum Markers Associated with Progression Free Survival in Lung Cancer Patients Treated with Immune Checkpoint Inhibitors
Authors: Liu Zhenzhen , Diao Yuzhu , Li Xiaoling 
Published: November 2021

Abstract
Background: ICIs have remarkably affected the treatment strategies for numerous malignancies, including lung cancer. However, only a fraction of patients experiences durable responses to ICIs, thus there is an urgent need to identify the parameters related to ICIs therapeutic effect. In this study, we investigated nutritional status surrogates and several serum markers to estimate the efficacy of ICIs.Materials and methods: The records of 66 patients with stage Ⅲ/Ⅳ lung cancer who received ICIs were retrospectively analyzed. Features of patients’ clinical pathology, including age, sex, histology, line of treatment, BMI, serum albumin, serum creatinine, and serum inflammatory markers such as LMR and PLR, were examined. Progression-free survival was primary endpoints. Relationships among categorical variables were assessed by the chi-squared test. Survival analysis was performed using Kaplan–Meier method followed by log-rank test. Cox multivariate analysis was performed to analyze the association between each variable and the survival time of patients. Results: The patients with BMI≥25(kg/m2)，serum ALB≥37(g/dL)，serum creatinine≥61.8(μmol/L), LMR≥2.12 had a significantly prolonged PFS in comparison with BMI＜25(kg/m2)，ALB＜37(g/dL)，creatinine＜61.8(μmol/L)，LMR＜2.12 (p < 0.05). No statistically significant difference was detected between patients with PLR＜135 and PLR≥135 (p=0.612).The multivariate analysis revealed that ALB≥37(g/dL) and creatinine≥61.8(μmol/L) were associated with prolonged PFS, while statistical significance was not achieved in BMI groups. Conclusions: The current results indicated that high BMI is related to longer PFS in lung cancer patients treated with ICIs, which may be correlated with high levels of serum albumin and creatinine.
m 6 A-Related lncRNAs are Potential Biomarkers for Predicting Prognoses in Patients With Breast Cancer
Authors: Liao Yuwei , Liang Simon X , He Dong , Chen Zhikai , Yao Jinxiu , Liang Hongfeng , Yang Liye 
Published: November 2021

Abstract
Background: Breast cancer (BRCA) is a common cancer and major cause of cancer mortality in females around the world. N6-methyladenosine (m6A) and m6A-associated long non-coding RNAs (lncRNAs) play vital roles in the prognostic value of BRCA. However, how m6A-related lncRNAs affect the survival of BRCA patients remains unclear. Methods: In this study, we obtained m6A-related lncRNAs by gene co-expression and used univariate least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses to construct a comprehensive m6A-related lncRNA model. Based on this model, a risk score was calculated for each patient. Next, Kaplan-Meier analyses, cell type enrichment analysis, and gene ontology (GO) enrichment were used to analyze the risk model. Finally, performance comparison was made between risk model and other common prognostic biomarkers in BRCA using ROC curve and nomogram. Results: The comprehensive risk model of 39 genes (10 m6A-related lncRNAs and 29 other genes) and basic clinical factors showed better performance in BRCA prognosis compared to other common prognostic biomarkers. By regrouping the patients with this model, we found that patients in the high-risk group had higher tumor mutation burden (TMB) and differentially expressed genes between high- and low risk patients were enriched in tumor-related inflammation response pathway and lipid droplet pathway. Conclusions: These results demonstrate that our comprehensive 39-genes risk model based on the m6A-related lncRNAs is promising for clinical prediction and provides a treatment guide for BRCA patients.
Volatile dripping onto substrate (vDoS) extensional rheology of viscoelastic polymer solutions
Authors: Robertson Benjamin P. , Calabrese Michelle A. 
Published: November 2021

Abstract
Extensional flow properties of volatile polymer solutions govern many industrially-relevant coating processes, but existing instrumentation lacks the environmental control necessary to control evaporation. To mitigate evaporation during volatile dripping-onto-substrate (vDoS) extensional rheology measurements, we developed a chamber to enclose the sample in an environment saturated with solvent vapor. We validated the vDoS device by measuring a model high molecular weight polyethy-lene oxide (PEO) in various organic solvents both inside and outside of the chamber. Evaporation substantially increased the extensional relaxation time λ E for PEO in volatile solvents like dichloromethane (DCM) and chloroform. PEO/chloroform solutions displayed an over 20-fold increase in λ E due to the formation of an evaporation-induced surface film; evaporation studies confirmed surface features and skin formation reminiscent of buckling instabilities commonly observed during drying in polymer solutions. Finally, the relaxation times of semi-dilute PEO/chloroform solutions were measured with environmental control, where λ E scaled with concentration by the exponent m=0.62. These measurements validate the vDoS device by confirming that chloroform is a good solvent for PEO, with a Flory exponent of ν=0.54. Our results demonstrate the first environmental control of evaporation during DoS extensional rheology, and provide guidelines establishing when environmental control is necessary to obtain accurate rheological parameters.