bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Approach Based on Matching Theory and Simulated Annealing for Parallel Machine Scheduling Problems
Authors: Moussa Maissa , Azar Adel , Ghatari Ali Rajabzadeh 
Published: September 2021

Abstract
As an extension of the classical Parallel Machine Scheduling Problem (PMSP), Unrelated Parallel Machine Scheduling Problem (UPMSP) is a much substantial issue in the modern manufacturing environment. It has been demonstrated to be a NP-hard problem. This research suggests a hybrid algorithm that combines Matching Theory (MT) and Simulated Annealing (SA) for solving an UPMSP with sequence-dependent setup time aimed at minimizing the total completion time. The hybrid algorithm is based on allocation of works to the best machine that can do it, and the determination of the order in which jobs have to be handled on the machines. The hybridization of MT and SA that integrates the features of these two individual parts is the main innovation aspect of the strategy. MT encourages the convergence, while SA promotes the diversity. Therefore, the designed algorithm can balance the intensification and diversification very well. Some tests were conducted using 16 tests for two problems to assess the efficiency of the suggested algorithm. Furthermore, the execution of the suggested algorithm with that of other meta-heuristic methods was contrasted. The outcome revealed that the performance dimensions of the suggested algorithm overrated those of other techniques.
Angiotensin I-converting Enzyme (ACE) Inhibitory Activity and Chemical Composition of Alchemilla Viridiflora Rothm.
Authors: Radović Jelena , Suručić Relja , Niketić Marjan , Kundakovic-Vasovic Tatjana 
Published: September 2021

Abstract
Alchemilla viridiflora Rothm., Rosaceae is a herbaceous plant widespread in central Greece, Bulgaria, North Macedonia and Serbia with Kosovo. LC-MS analysis leads to the identification of 20 compounds in methanol extract, mainly ellagitannins and flavonoid glycosides. Considering that different plant extracts were traditionally used for treatment of hypertension and that some of the analyzed methanol extract constituents possess beneficial cardiovascular effects, we hypothesized that some of these effects are achieved through inhibition of angiotensin I-converting enzyme (ACE). The dose-dependent activities ACE inhibitory activity of A. viridiflora and miquelianin were observed with an IC50 of 2.51 ± 0.00 µg/ml of A. viridiflora compared to IC50 of 2.59 ± 0.00 µg/mL for miquelianin. Contribution of the single compounds to the tested activity was further analyzed through the in silico experimental approach. Computational docking results showed that tiliroside, ellagic acid pentose and galloyl-HHDP-glucose exhibited even better binding affinity for ACE active site than miquelianin, which ACE activity was confirmed by an in vitro assay.
Prioritize the Sequence of Test Cases and Increase the DRE Rate by Implementing Orthogonal Array Testing Strategy
Authors: M. Sangeetha , S Malathi 
Published: September 2021

Abstract
Software testing is an emerging technology which is use to increase the rate of error detection as early as possible in the software testing life cycle process. Test case prioritization technique plays a crucial role in organizing the test cases in sequencing order both ascending and descending such that test cases having high priority or high severity are planned to get executed doing a proper risk-based analysis. This prioritization technique effectively addresses two important organization constraints namely “Time” and “Budget”, also improve the quality of service. The proposed work is all about how effectively we can sequence the application modules for testing during Test plan phase using fuzzy logic and how to write optimized test cases efficiently design during Orthogonal Array Test Strategy (OATS) in Test design phase of testing life Cycle.
Determinants of Enrolment for Community Based Health Insurance Scheme among Agro-pastoralist communities of Aw-barre District in Somali region of Ethiopia: Unmatched case control study.
Authors: Elmi Abdifatah , Oladeji Olusola , Robins Ann , Tahir Ahmed 
Published: September 2021

Abstract
BackgroundEthiopia launched community-based health insurance scheme in 2011 as part of the revised health care financing strategy to ensure universal health coverage and implementation has started in most part of the country since the launching of the scheme. However, the roll out of the scheme started in Somali Region in 2020—much later the rest of the country. The aim of this study was to assess determinants of enrollment of community-based health insurance among households in Awbarre Woreda, Somali Region, EthiopiaMethodsCommunity based unmatched case control study using a mixed approach of quantitative and qualitative methods was conducted between March and April 2021 and the study participants were selected using multi-stage sampling technique. The quantitative method used interviewer administered structured questionnaire among 216 participants (54 enrolled and 162 non-enrolled), while the qualitative method used key informant interview and focus group discussions in two rural and two urban kebeles of the woreda. The quantitative data was analyzed using SPSS version 20 and thematic analysis was used for the qualitative data. Multivariable logistic regression was used to determine the determinants of enrollment for the community-based health insurance and statistical significance was set at p value of <5%. Result Awareness about CBHI scheme AOR = 9.41(1.16,76.19), households income AOR = 2.73(0.77, 9.57); and being a member of community-based solidarity groups AOR = 2.88(1.17, 7.12) were the determinants for CBHI enrollment and reaffirmed by the qualitative findings. ConclusionsThe enrollment for community-based insurance was determined by being well informed about the scheme, household income, and being a member of solidarity groups at community level. Given the early stage of implementation, enhancing sensitization of the community about the scheme using various community platforms, promotion of the existing community based solidarity groups/associations, diligent targeting of the poor households/indigents and ensuring linkage with any existing social protection program would help to increase enrolment for the scheme.
Inequalities in Delayed Initiation of Breastfeeding: Evidence from Health Surveys in 58 Low- and Middle-Income Countries (2012-2017)
Authors: Raihana Shahreen , Dibley Michael J , Priyanka Sabrina Sharmin , Alam Ashraful , Huda Tanvir M 
Published: September 2021

Abstract
Background: Delay in breastfeeding initiation beyond 1 hour of birth increases the risk of neonatal deaths and illnesses. Despite ample evidence highlighting its importance, wealth-related inequalities exist in delayed breastfeeding initiation rates in many low- and middle-income countries (LMICs). Our goal was to examine the magnitude and trend of socio-economic inequalities in delayed breastfeeding initiation rates in LMICs.Methods: We used data from 58 low- and middle-income countries from their most recent Demographic and Health Survey and Multiple Indicator Cluster Survey to present delayed breastfeeding initiation rates across wealth quintile and area of residence. To assess the wealth-related inequalities in delayed breastfeeding initiation rates, we calculated two indicators- the difference, in percentage points, between the rates recorded for the poorest and wealthiest quintiles and the ratio of the same two values. To present the change over time, we calculated- the annual absolute change and annual absolute excess change. Results: Within countries, the prevalence of delayed breastfeeding initiation was higher among the wealthiest quintile (median 47.4%) and lower in the poorest quintile (median 42.6%). In 37 study countries, the prevalence of delayed breastfeeding initiation was higher among the wealthiest than among the poorest. The highest prevalence of delayed breastfeeding initiation was in South Asia, and the largest levels of pro-rich inequality were in Latin America and Caribbean. Pro-poor inequality was more common in Sub-Saharan Africa. Delayed breastfeeding initiation rates decreased faster in the poorest quintile (median -1.3 percent-points per year) compared to the wealthiest quintile (median -0.8 percent-points per year), indicating an increase in pro-poor inequality over time.Conclusions: There is no distinguishable global pattern for wealth-related inequality in the prevalence of delayed breastfeeding initiation. The prevailing inequality may be due to a combination of sociodemographic factors and is largely preventable by incorporating adequate infrastructure towards creating a pro-breastfeeding environment.
Role of Neuroticism and Perceived Stress on Quality of Life among Patients with Dry Eye Disease
Authors: Tananuvat Napaporn , Tansanguan Sasiwimon , Wongpakaran Nahathai , Wongpakaran Tinakon 
Published: September 2021

Abstract
BackgroundPatients with dry eye disease (DED) experience stress that may subsequently affect their quality of life (QOL). Little is known whether neuroticism, a personality trait sensitive to stress and hassle, has an impact on stress that is related to DED and QOL. This study aimed to examine such a relationship.MethodsA hospital-based, cross-sectional observational study was conducted. All participants completed the Dry Eye-Related Quality-of-Life Score (DEQS) questionnaire, a 5-level EQ-5D (EQ-5D-5L), Neuroticism Inventory (NI), and 10-Item Perceived Stress Scale (PSS). Hierarchical linear regression was applied to determine the predictive effect of the independent variables. ResultsIn all, 100 participants had mean age of 50.91±14.3 years, and females totaled 89.0%. The mean scores of the QOL related to DED, EQ5D, NI, and PSS were 45.44 ±22.0, 0.78± 0.21, 31.67± 9.1, and 18.53± 6.1, respectively. Hierarchical linear regression analysis showed that ocular symptoms were the strongest predictor for QOL either assessed by DEQS or EQ-5D, and its effect was lessened when perceived stress and neuroticism were added to the model. The final model explained up to 30-39% variance of the QOL, compared with 13-32% by ocular symptoms alone. QOL of the patients with DED, not only related to eye symptoms but general stress in life. More than that, neuroticism was found to be a strong predictor contributing to the QOL among patients with DED. More attention should be paid to these psychological factors when assessing the QOL of this population.
Specific rumen microbiome traits predict average daily gain in beef cattle under different backgrounding systems
Authors: Omontese Bobwealth O. , Sharma Ashok K. , Davison Samuel , Jacobson Emily , Webb Megan J. , Gomez Andres 
Published: September 2021

Abstract
Background Backgrounding (BKG), the stage between weaning and finishing, significantly impacts feedlot performance in beef cattle; however, the contributions of the rumen microbiome to this growth stage remain unexplored. A longitudinal study was designed to assess how BKG affects rumen bacterial communities and average daily gain (ADG) in beef cattle. At weaning, 38 calves were randomly assigned to three BKG systems for 55 days (d): a high roughage diet within a dry lot ( DL, n=13); annual cover crop within a strip plot ( CC, n=13); and perennial pasture vegetation within rotational paddocks ( PP, n=12), as before weaning. After BKG, all calves were placed in a feedlot for 142 d and finished with a high energy ration. Calves were weighed periodically from weaning to finishing to determine ADG. Rumen bacterial communities were profiled by collecting fluid samples via oral probe and sequencing the V4 region of the 16S rRNA bacterial gene, at weaning, during BKG and finishing.Results Rumen bacterial communities diverged drastically among calves once they were placed in each BKG system, including sharp decreases in alpha diversity for CC and DL calves only ( P < 0.001). During BKG, DL calves showed a substantial increase of Proteobacteria, Succinivibrionaceae family ( Ruminobacter, Succinimonas ) (P<0.001), which also corresponded with greater ADG ( P < 0.05). At the finishing stage, alpha diversity decreased dramatically and Proteobacteria bloomed for all calves, with no previous alpha or beta diversity differences being retained between groups. However, at finishing, PP calves showed compensatory ADG, particularly greater than that in calves coming from DL BKG, who showed the lowest ADG ( P = 0.02). Microbe network dynamics and network traits related to centrality, connectivity, degree, number and strength of microbe-microbe interactions in the rumen were predictive of ADG during BKG and finishing.Conclusions Assessing rumen bacterial community composition, and particularly microbemicrobe interactions under different BKG systems may be useful in predicting growth performance in beef cattle. These findings underscore the importance of early post weaning stages as potential targets for feeding interventions that can modulate the rumen microbiome to enhance life-long productive performance in beef cattle.
Accuracy Verification of 4D-CT Analysis of Knee Joint Movements: A Pilot Study Using a Knee Joint Model and Motion-capture System
Authors: Adachi Takuya , Kato Yuki , Kiyotomo Daii , Kawamukai Katsushige , Machida Yoichi 
Published: September 2021

Abstract
BackgroundFour-dimensional CT(4D-CT) is an advanced imaging method with the ability to acquire kinematic and three-dimensional morphological information. Although its use for analysis of the six degrees of freedom in the knee is expected, its accuracy has not been reported. This study aimed to use the optical motion-capture method to verify the accuracy of 4D-CT analysis of knee joint movement.MethodsOne static CT and three 4D-CT examinations of the knee joint model were obtained. The knee joint model was passively moved in the CT gantry during 4D-CT acquisitions. 4D-CT and static CT examinations were matched to perform 3D-3D registration. An optical motion-capture system recorded the position-posture of the knee joint model simultaneously with the 4D-CT acquisitions. These results were used as the correct answer value, the position-posture measurements using 4D-CT were compared to these values, and the accuracy of the 4D-CT analysis of knee joint movements was quantitatively assessed. ResultsThe position-posture measurements obtained from 4D-CT showed similar tendency to those obtained from the motion-capture system. In the femorotibial joint, the difference in the spatial orientation between the two measurements was 0.7 mm in the X direction, 0.9 mm in the Y direction, and 2.8 mm in the Z direction. The difference in angle was 1.9° in the varus/valgus direction, 1.1° in the internal/external rotation, and 1.8° in extension/flexion. In the patellofemoral joint, the difference between the two measurements was 0.9 mm in the X direction, 1.3 mm in the Y direction, and 1.2 mm in the Z direction. The difference in angle was 0.9° for varus/valgus, 1.1° for internal/external rotation, and 1.3° for extension / flexion. Conclusions4D-CT with 3D-3D registration could record the position-posture of knee joint movements with an error of less than 3 mm and less than 2° when compared with the highly accurate motion-capture system. Knee joint movement analysis using 4D-CT with 3D-3D registration showed excellent accuracy for in vivo applications.
Experimental Environment to Model, Simulate and Analyze Contagious Diseases as a Diffusion Process in Social Networks
Authors: Kasprzyk Rafal , Najgebauer Andrzej 
Published: September 2021

Abstract
In this paper the novel model of diffusion on networks and the experimental environment are presented. We consider the utilization of the graph and network theory in the field of modelling and simulating the dynamics of contagious diseases. We describe basic principles and methods and show how we can use them to fight against the spread of this phenomenon. We also present our software solution – CARE (Creative Application to Remedy Epidemics) that can be used to support decision-making activities.
Transmission Design of Bevel Gear with Arbitrary Crossed Axes and Its Application in the Knotter
Authors: Yin Jianjun , Wu Han , Ji Zheng , Zhou Maile , Guo Ruipeng 
Published: September 2021

Abstract
The bevel gear transmission with crossed axes is widely used, but there are the difficulty of tooth profile calculation and modeling in the design and manufacturing process. This paper analyzes firstly the parameter solving equation of the bevel gear pair with arbitrary crossed axes. Based on the meshing principle of the bevel gear pair and numerical analysis method, the meshing equations of the bevel gear pair with crossed axes are derived, which provide the calculation models for the design of spatial bevel gear tooth surface. Taking the bevel gear pair with crossed axes in two kinds of the knotter as two design examples, the geometric parameters of the bevel gear pair in the knotter are solved, and the mathematical models of the tooth surface are programmed and calculated by using MATLAB. Through the graphic display of the tooth surface point set under MATLAB software and the 3D modeling function of Pro/Engineering software, the accurate 3D models of the bevel gear tooth surface are established. The meshing transmission simulations of the established bevel gear pair are respectively carried out by using ADAMS, and their physical prototype and transmission tests are also implemented. The test results showed that the transmission of the designed bevel gear pair is accurate and stable, which proves the correctness of the derived calculation model of the tooth surface of the bevel gear with crossed axes.
Dynamic Mechanical Properties of Selective-laser-melting-processed Ti6Al4V
Authors: Li Zhong-Hua , Yang Zhicheng , Liu Bin , Li Jia-Xin , Kuai Ze-Zhou , Li Huo-Dong , Chen Yan-Lei 
Published: September 2021

Abstract
The relative density grading of metal lattice structures becomes a favourable design for bone plants since these structures are suitable for human implantation and have good biological compatibility. The unit cell structure designed using this method is better than that designed by traditional 3D modelling software, especially when using a bionic unit cell design created by a triple periodic minimum surface (TPMS). In this study, the manufacturability of Gyroids was tested by studying three different designs: the relative density of 30%, 20%, and 10% sheet structure. The main purpose is to understand the influence of relative density on the static compression performance of the sheet-like Gyroids structure. This study qualitatively analyses the influence of the relative density of the Gyroids lattice structure prepared by the selective laser melting technology on the compressive strength, elastic modulus, energy absorption and failure mechanism. As the relative density of the sheet structure decreases, the compressive strength decreases. The elastic modulus of the sheet structure of 10% is slightly higher than that of 20%, showing a different trend from the compressive strength. At the same time, the energy absorption per unit volume increases when the relative density decreases and becomes smaller, and the failure modes of the three relative densities all show a 45° fracture failure.
2’, 3’, 4’-Trihydroxychalcone Changes Estrogen Receptor Α Regulation of Genes and Breast Cancer Cell Proliferation by a Reprogramming Mechanism
Authors: Herber Candice B , Yuan Chaoshen , Chang Anthony , Wang Jen-Chywan , Cohen Isaac , Leitman Dale C 
Published: September 2021

Abstract
BackgroundMenopausal hormone therapy (MHT) is recommended for only five years to treat vasomotor symptoms and vulvovaginal atrophy because of safety issues with long-term treatment. We examined the ability of 2’, 3’, 4’-trihydroxychalcone (2’, 3’, 4’-THC) to modulate ERα-mediated responses on gene regulation and cell proliferation to identify drugs that can potentially overcome the adverse effects of estradiol (E2) in MHT so it can be used for long-term therapy to treat prolonged menopausal symptoms and prevent chronic diseases. MethodsTransfection assays, quantitative real time-polymerase chain reaction, and microarrays were used to evaluate the effects of 2’, 3’, 4’-THC on gene regulation. Radioligand binding studies were used to determine if 2’, 3’, 4’-THC binds to ERα. The effects of 2’, 3’, 4’-THC on cell proliferation and the cell cycle were examined in MCF-7 breast cancer cells using growth curves and flow cytometry. Western blots were used to determine if 2’, 3’, 4’-THC alters the E2 activation of the MAPK pathway and degradation of ERα. Chromatin immunoprecipitation was used to measure ERα binding to genes. Results2’, 3’, 4’-THC produced a synergistic response of E2 activation of reporter and endogenous genes in U2OS osteosarcoma cells. Microarrays identified 824 genes that we termed reprogrammed genes because they were not regulated in U2OS-ERα cells unless the cells were treated with 2’, 3’, 4’-THC and E2 together. 2’, 3’, 4’-THC blocked the proliferation of MCF-7 cells by preventing the E2-induced stimulation of MAPK activity and c-MYC transcription. The antiproliferative mechanism of 2’, 3’, 4’-THC differs from selective estrogen receptor modulators (SERMs) since 2’, 3’, 4’-THC does not bind to E2 binding site in ERα like SERMs. ConclusionOur study identified 2’, 3’, 4’-THC as a reprogramming compound, because it changes the actions of E2 on gene regulation and cell proliferation without competing for the E2 binding site in ERα. The addition of a reprogramming compound such as 2’, 3’, 4’-THC to estrogens in MHT may offer a new strategy to overcome the adverse effects of estrogen in MHT through a reprogramming mechanism rather than an antagonist action.
Nomogram Predicting the Prognosis of Patients with Surgically Resected Stage IA Non-Small Cell Lung Cancer
Authors: Liu Quan-Xing , Huang Zi-Qi , Zhou Dong , Zheng Hong , Dai Ji-Gang 
Published: September 2021

Abstract
Background: The AJCC 8th stage system was limited in accuracy for predicting prognosis of stage IA non-small cell lung cancer (NSCLC) patients. This study aimed to establish and validate two nomograms that predict overall survival (OS) and lung cancer specific survival (LCSS) in surgically resected stage IA NSCLC patients. Methods: Postoperative patients with stage IA NSCLC in SEER database between 2004 and 2015 were examined. Survival and clinical information according to the inclusion and exclusion criteria was collected. All patients were randomly divided into the training cohort and validation cohort with a ratio of 7:3. Independent prognosis factors were evaluated using univariate and multivariate Cox regression analyses, and predictive nomogram was established based on these factors. Nomogram performance was measured using the C-index, calibration plots, and decision curve analysis (DCA). Patients were grouped by quartiles of nomogram scores and survival curves were plotted by Kaplan-Meier analysis.Results: In total, 33533 patients were included in the study. The nomogram of OS and LCSS contained 12 and 10 prognostic factors respectively. The C-index of nomogram showed a relative good performance which was significantly superior than AJCC 8th stage both in training set and validating set (P＜0.001). The calibration curve results showed that the actual survival rate was consistent with the predicted survival rate. Nomogram scores related risk stratification revealed statistically significant difference which have better discrimination than AJCC 8th stage.Conclusions: The two established nomograms can accurately predict OS and LCSS in surgical resected patients with stage IA NSCLC.