bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tension Fatigue Behaviour of Woven Bamboo and Glass Fiber Reinforced Epoxy Hybrid Composites
Authors: Venkatesha B K , Pramod Kumar S K , Saravanan R , Ishak Aulia 
Published: December 2020

Abstract
The aim of this paper is to investigate the influence of stacking sequence of multi layered woven bamboo and glass fibers reinforced with epoxy matrix composites under static tensile and tension-tension fatigue loading. Six layers of bamboo fiber and seven layers of glass fiber has been used to prepare the samples by hand lay-up technique with [0°/90°] and [±45°]. Extensive fatigue tests (frequency 3 Hz and stress ratio 0.1) were performed in accordance with ASTM D3479. In constant amplitude and load-controlled tests, a percentage of the ultimate tensile strength (UTS) was applied to the composite specimens. Five stress levels were applied from 90% of UTS, and decreased in steps of 10% of UTS. The obtained results were used to draw S/N Curve and [0°/90°] lay-ups show better fatigue strength than [±45] laminate.
Improving Performance of Outpatient Queuing System: A Simulation Based Case Study
Authors: Amrina Elita , Nofricha Regina , Kamil Insannul , Tri Putri Nilda , Fatrias Dicky , Wirdianto Eri 
Published: December 2020

Abstract
Nowadays, hospitals are facing overcrowding of patients in outpatient treatment. It caused many problems because the patient takes a long time to wait. The long waiting times would lead to patient dissatisfaction. This study aims to improve the performance of the outpatient queuing system. The simulation technique is applied to analyze the existing system. First, the system description is constructed to determine the outpatient process flow. Next, the required data is collected, and the probability distribution is then fitted. The simulation model is developed using ARENA software. The model is then verified using a run check model and validated using paired T-Test. The simulation reports are analyzed, and it obtained the problems of long waiting times of internal medicine patients and the high utilization of internal medicine Doctors. Scenarios are then suggested to improve system performance. Scenario-3 of addition one internal medicine Doctor and develop a booking system is selected as the best scenario. The scenario can reduce the average waiting time of internal medicine patients from 97.4 minutes to 8.5 minutes and internal medicine doctor utilization from 87% to 75%. This research hopes can help hospital managers continuously improve their service quality and patient satisfaction.
Prioritizing important factors for the successful of halal food standard practice in Small Medium Enterprises
Authors: Giyanti I , Indrasari A , Sutopo W , Liquiddanu E 
Published: December 2020

Abstract
The purpose of this research is to prioritize the factors that is important for the successful of halal food standard practice in food manufacturing small medium enterprises (SMEs). This study employed a non-probability convenience sampling method for collecting data. The main instrument for data collection is using a structured questionnaire. The respondents of this research is halal-certified SMEs in Solo Raya. A partial least square structural equation model (SEM-PLS) was applied to test the proposed structural model. Subsequently, the importance-performance map analysis (IPMA) was performed to prioritize the critical success factors that need special attention by SMEs’ managers intending to adopt halal standard in their daily food production. Finding of this research revealed that employee involvement has a positive and significance impact to the halal food standard practices in food SMEs. Another factors, namely management support and customer focus have also a positive impact but not statistically significant. Findings from IPMA indicate that SMEs should focus on the employee involvement. The findings of this study are beneficial not only for SME’s manager but also for government institution responsible to the development of SMEs.
Production Line Simulation In Vise Using The Flexsim Application
Authors: Ishak Aulia , Faiz Zubair Ahmad , Sekar Cendani Assilla 
Published: December 2020

Abstract
The quality of a factory is not only determined by the level of expertise of workers owned, quality facilities and supporting infrastructure is also determined by the queuing system that occurs during the production process. If the input and output on the machines are not balanced will cause the accumulation of goodsand allows the material used is damaged and production is not optimal. As for the production of this vise has 7 types of machines and consists of 8 parts. In this study, the simulation is carried out in the production process in the manufacture of vise. The general objective of the study is to find out whether the vise production process time with the number of production targets can be met and is effective.
Warranty cost analysis for a multi-component product protected by lemon laws
Authors: Husniah Hennie , Pasaribu Udjianna S. , Iskandar Bermawi P. 
Published: December 2020

Abstract
We study warranty cost analysis for a multi-component product protected by the lemon laws. The product is repairable and consists of critical and non-critical components. The failed product under warranty due to failure of any critical or non-critical component is minimally repaired. It is considered that the product turns to be a lemon when either the number of critical or noncritical component failures reaches k. We obtain the expected warranty cost and the optimal period of lemon laws which are of interest to the manufacturer when the product is protected by the lemon laws, and provide numerical examples to illustrate the expected warranty cost and the optimal lemon law period.
Plant Maintenance Modelling Through Availability Analysis In Raw Mill of Cement Production
Authors: Jufri N , Siswanto N 
Published: December 2020

Abstract
Maintenance activities are a particular concerned at PT XYZ, which is the largest cement producer in Eastern Indonesia. PT XYZ has five main factories located in Pangkep, South Sulawesi, units 1,2,3,4, and 5. In 2019, PT XYZ’s five clinker production only reached 2,445,515 tons or 93, 64% of the target. The details, raw meal production was not achieved, namely 4,041,377 tons or 96.54% of the target set by the company due to the unplanned shutdowns. This research tries to control the breakdowns of raw mill machine by evaluating the availability and day of operation (calendar day). The availability analysis method used is the discrete system simulation approach because the discrete system simulation can accommodate random behavior and dependence between variables. In the existing condition, system availability is 72.83% and calendar day is 239 days. These two parameters are still less than the target. To overcome this problem, experimentation was carried out with 3 scenarios. The best simulation results shows that the preventive maintenance activities changes the value of TTF (Time to Failure), TTR (Time to Repair), and reduces the duration of overhaul activities. This can increase the availability to 83.04% and calendar day to 255 days.
Clasiffication of Heart Disease using Decision Tree Algorithm
Authors: Ishak A , Ginting A , Siregar K , Junika C 
Published: December 2020

Abstract
Data mining is the process of manipulating data by extracting information that was previously unknown from a large dataset. The Tree Model in relation to data structures is a data type that simulates a hierarchical tree structure with root values and sub-trees with the parent node represented as a series of recursively defined node links as a means of presenting complex data analysis. Every year an estimated 17.3 million people die from cardiovascular disease. As many as 7.3 million of them occur due to heart disease and 6.2 million due to stroke. Risk factors for heart disease are age, gender, heredity or genetics, smoking habits, lack of physical activity, obesity, diabetes mellitus, stress and diet. The purpose of the dataset in this study is to classify data to determine categories of heart disease based on the presence or absence of narrowing of the arteries.
The Removal of Mixed Tar in Biomass Fuel Gas through the Thermal and Catalytic Treatment Methods: Review
Authors: Lateh Hafnee , Taweekun Juntakan , Maliwan Kittinan , Ishak Aulia 
Published: December 2020

Abstract
The global situation consumes enormous amount of energy while the energy sources are limited and decreasing. Alternative energy source is widely focused for compensating the main energy source. Thus, the finding of alternative resources particularly biomass energy is highly essential. Biomass gasification is a transforming process of solid biomass into the valued fuel gases. Although biomass fuel gas provides utility gases, the contaminant as tar that need to eliminate for evading the problems to engines and turbines. Hence, the treatment methods of tar are extremely important and challenge. This paper indicates the recent treatment researches for biomass tar removal. The problems of tar as well as the weakness and advantages of all tar treatment methods are discussed.
Plant Business Mapping Young Plants Agriculture Group In West Dumai District
Authors: Melliana  , Mesra T 
Published: December 2020

AbstractDumai City is a city with a lot of potential for progress and development, one of which is the agricultural sector. Specifically, for young plants plants, the people of Dumai City tend to plant horticultural crops and crops. Errors in choosing the wrong type of plant can cause dissatisfaction in producing production. The AHP method is used to select suitable types of plants in Dumai City, the SWOT method is used to develop selected alternatives. The alternative chosen using the AHP method for young plants is corn. The strategy for developing the SWOT method is in quadrant 1, which is progressive, so it is likely that this type of plant will develop in the future.
A Novel Graphical Method for Data Presentation in Alcohol Systematic Reviews: The Interactive Harvest Plot
Authors: Foulds James , Knight Josh , Young Jesse T , Keen Claire , Newton-Howes Giles 
Published: December 2020

Abstract

Aims
To demonstrate a novel method for presenting and exploring data in systematic reviews of the alcohol literature.

Methods
Harvest plots are a graphical method for displaying data on the overall pattern of evidence from a systematic review. They can display the direction of effects and risk of bias within studies for multiple outcomes in a single graphical chart. Using data from our previous meta-analysis on the association between personality disorder and alcohol treatment outcome, we extended the application of harvest plots by developing an interactive online harvest plot application.

Results
Studies included in the review were heterogeneous in design. There were many different primary outcomes, and similar outcomes were often defined differently across studies. The interactive harvest plot allows readers to explore trends in the data across multiple outcomes, including the impact of within-study bias and year of publication. In contrast, meta-analysis on the same data was hampered by a lack of consistency in the way outcomes were measured, and incomplete reporting of effect sizes and their variance. This meant many studies included in the systematic review could not be meta-analysed.

Conclusions
Interactive harvest plots are a novel graphical method to present data from systematic reviews. They can supplement or even replace meta-analysis when the studies included in a systematic review use heterogeneous designs and measures, as is often the case in the alcohol literature.
Electroencephalography, Magnetoencephalography, and Cognitive Reserve: A Systematic Review
Authors: Balart-Sánchez Sebastián A , Bittencourt-Villalpando Mayra , van der Naalt Joukje , Maurits Natasha M 
Published: December 2020

Abstract

Objective
Cognitive reserve (CR) is the capacity to adapt to (future) brain damage without any or only minimal clinical symptoms. The underlying neuroplastic mechanisms remain unclear. Electrocorticography (ECOG), electroencephalography (EEG), and magnetoencephalography (MEG) may help elucidate the brain mechanisms underlying CR, as CR is thought to be related to efficient utilization of remaining brain resources. The purpose of this systematic review is to collect, evaluate, and synthesize the findings on neural correlates of CR estimates using ECOG, EEG, and MEG.

Method
We examined articles that were published from the first standardized definition of CR. Eleven EEG and five MEG cross-sectional studies met the inclusion criteria: They concerned original research, analyzed (M)EEG in humans, used a validated CR estimate, and related (M)EEG to CR. Quality assessment was conducted using an adapted form of the Newcastle–Ottawa scale. No ECOG study met the inclusion criteria.

Results
A total of 1383 participants from heterogeneous patient, young and older healthy groups were divided into three categories by (M)EEG methodology: Eight (M)EEG studies employed event-related fields or potentials, six studies analyzed brain oscillations at rest (of which one also analyzed a cognitive task), and three studies analyzed brain connectivity. Various CR estimates were employed and all studies compared different (M)EEG measures and CR estimates. Several associations between (M)EEG measures and CR estimates were observed.

Conclusion
Our findings support that (M)EEG measures are related to CR estimates, particularly in healthy individuals. However, the character of this relationship is dependent on the population and task studied, warranting further studies.
Unravelling the Thucydides’ Trap: Inadvertent Escalation or War of Choice?
Authors: Platias Athanassios , Trigkas Vasilis 
Published: December 2020

Abstract
No other text in the intellectual history of International Relations has become as frequent a victim of confirmation bias and selective presentism as has Thucydides’ History of the Peloponnesian War. Most recently, misinterpretations of the classical treatise have engendered the popular catchphrase, “the Thucydides’ Trap”, and thinkers and politicians’ resultant drawing of erroneous parallels between the Peloponnesian War and current Sino-US relations. This article seeks to deconstruct the Thucydides’ Trap core thematic of inadvertent escalation, and to outline the logic of hegemonic transition as it is actually expounded by Thucydides. Although Thucydides is the first thinker in the West clearly to identify the significance of structure in interstate affairs, his hegemonic transition theory is complex rather than purely systemic. Thucydides thus dedicates most of his work to assessing the strategic decisions made in fervid political debates, evidencing his perception of polity and politics as key elements that dynamically interact with structural conditions to effectuate strategic choice. Consequently, the Peloponnesian War was not an outcome of inadvertent escalation, but of premeditated strategic choices made by adversaries with clashing policy objectives. Therefore, within the structural constraints, it is on leadership and strategy that Thucydides puts a premium, and hence prioritizes prudence (Sophrosyne/Σωφροσύνη) as the most consequential virtue of statesmanship. Building on the Thucydidean logic of hegemonic transition, we conclude by presenting six strategic corollaries of contemporary Sino-US relations, remaining attentively cognizant at all times of the limitations of historical analogies, and abiding by ex antiquis et novissimis optima.
Computational Prediction of Cervical Cancer Diagnosis Using Ensemble-Based Classification Algorithm
Authors: Gupta Surbhi , Gupta Manoj K 
Published: December 2020

AbstractCervical cancer is one of the most common cancers among women in the world. As at the earlier stage, cervical cancer has fewer symptoms. Cancer research is vital as the prognosis of cancer enables clinical applications for patients. In this study, we demonstrate a new approach that applies an ensemble approach to machine learning models for the automatic diagnosis of cervical cancer. The dataset used in the study is the cervical cancer dataset available at the University of California Irvine database repository. Initially, missing values are imputed (k-nearest neighbors) and then the data are balanced (oversampled). Two feature selection approaches are used to extract the most significant features. The proposed stacking architecture, applied for the first time on the cervical cancer dataset, used time elapse of 5.6 s and achieved an area under the curve score of 99.7% performing better than the methods used in previous works. The objective of the study is to propose a computational model that can predict the diagnosis of cervical cancer efficiently. Further, the proposed learning architecture is gauged with several ensemble approaches like random forest, gradient boosting, voting ensemble and weighted voting ensemble to perceive the enhancement.
Long-term risk of sudden cardiac death in hypertrophic cardiomyopathy: a cardiac magnetic resonance outcome study
Authors: Greulich Simon , Seitz Andreas , Herter Diana , Günther Fabian , Probst Sabine , Bekeredjian Raffi , Gawaz Meinrad , Sechtem Udo , Mahrholdt Heiko 
Published: December 2020

Abstract

Aims
Sudden cardiac death (SCD) is an appalling complication of hypertrophic cardiomyopathy (HCM). There is an ongoing discussion about the optimal SCD risk stratification strategy since established SCD risk models have suboptimal discriminative power. The aim of this study was to evaluate the prognostic value of late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) for SCD risk stratification compared to the European Society of Cardiology (ESC) SCD risk score and traditional risk factors in an &gt;10-year follow-up.

Methods and results
Two hundred and twenty consecutive patients with HCM and LGE-CMR were enrolled. Follow-up data were available in 203 patients (median age 58 years, 61% male) after a median follow-up period of 10.4 years. LGE was present in 70% of patients with a median LGE amount of 1.6%, the median ESC 5-year SCD risk score was 1.84. In the overall cohort, SCD rates were 2.3% at 5 years, 4.8% at 10 years, and 15.7% at 15 years, independent from established risk models. An LGE amount of &gt;5% left ventricular (LV) mass portends the highest risk for SCD with SCD prevalences of 5.5% at 5 years, 13.0% at 10 years, and 33.3% at 15 years. Conversely, patients with no or ≤5% LGE of LV mass have favourable prognosis.

Conclusions
LGE-CMR in HCM patients allows effective 10-year SCD risk stratification beyond established risk factors. LGE amount might be added to established risk models to improve its discriminatory power. Specifically, patients with &gt;5% LGE should be carefully monitored and might be adequate candidates for primary prevention implantable cardioverter-defibrillator during the clinical long-term course.
Antiarrhythmic drugs for atrial fibrillation: lessons from the past and opportunities for the future
Authors: Heijman Jordi , Hohnloser Stefan H , Camm A John 
Published: December 2020

AbstractAtrial fibrillation (AF) remains a highly prevalent and troublesome cardiac arrhythmia, associated with substantial morbidity and mortality. Restoration and maintenance of sinus rhythm (rhythm-control therapy) is an important element of AF management in symptomatic patients. Despite significant advances and increasing importance of catheter ablation, antiarrhythmic drugs (AADs) remain a cornerstone of rhythm-control therapy. During the past 50 years, experimental and clinical research has greatly increased our understanding of AADs. As part of the special issue on paradigm shifts in AF, this review summarizes important milestones in AAD research that have shaped their current role in AF management, including (i) awareness of the proarrhythmic potential of AADs; (ii) increasing understanding of the pleiotropic effects of AADs; (iii) the development of dronedarone; and (iv) the search for AF-specific AADs. Finally, we discuss short- and long-term opportunities for better AF management through advances in AAD therapy, including personalization of AAD therapy based on individual AF mechanisms.
Populist Words Speak Louder? Ideology-Inconsistent Personalization and Voting for Populist Candidates
Authors: Müller Philipp , Denner Nora 
Published: December 2020

Abstract
The private background of populist politicians oftentimes seemingly contradicts the populist ideology—which can be taken up in political communication. Using two experiments (nStudy 1 = 734; nStudy 2 = 568), we investigate the effects of such ideology-inconsistent personalization on the evaluation of and voting for a populist candidate. We manipulate the politician’s localness and social class (Study 1) and traditionalism in family life (Study 2). Results reveal a number of effects on candidate evaluation which translated into voting intentions. An upper-class background of the populist politician yielded negative effects, but less so among populist voters. However, references to a cosmopolitan biography decreased perceived trustworthiness among all participants. Surprisingly, a nontraditional (i.e., homosexual) relationship was beneficial for a (female) populist.
Short-term increase in the carriage of azithromycin-resistant Escherichia coli and Klebsiella pneumoniae in mothers and their newborns following intra-partum azithromycin: a post hoc analysis of a double-blind randomized trial
Authors: Getanda Pauline , Bojang Abdoulie , Camara Bully , Jagne-Cox Isatou , Usuf Effua , Howden Benjamin P , D’Alessandro Umberto , Bottomley Christian , Roca Anna 
Published: December 2020

Abstract

Objectives
To evaluate the impact of one oral dose of intrapartum azithromycin (2 g) on the carriage and antibiotic resistance of Escherichia coli and Klebsiella pneumoniae in the nasopharynx, breast milk and vaginal swabs of mothers and K. pneumoniae in the nasopharynx of their newborns.

Methods
We performed a post hoc analysis of a double-blind, placebo-controlled randomized-trial (ratio 1:1) conducted in The Gambia. Breast milk (BM) and vaginal swabs (VS) from mothers and nasopharyngeal swabs (NPS) from mother–newborn pairs were collected at different timepoints during the 4 week follow-up. Samples were processed using standard microbiological procedures. For BM and NPS post-intervention results were combined for analysis.

Results
In the original trial 829 mothers were randomized. In this analysis, complete sample sets were available for 630 mothers for E. coli analysis (76.0%) and 564 mother–newborn pairs for K. pneumoniae analysis (68.0%). For E. coli, carriage prevalence in BM and VS was similar in both arms but resistance was higher in the azithromycin arm in VS (2.6% versus 0%, P = 0.004). For K. pneumoniae, carriage prevalence was higher in the azithromycin arm for BM (13.8% versus 8.7%, P = 0.055) but not for VS or NPS. Prevalence of azithromycin resistant K. pneumoniae was higher in the azithromycin arm for BM (3.6% versus 1.0%, P = 0.050) and VS (1.5% versus 0% P = 0.057).

Conclusions
Oral intrapartum azithromycin did not reduce carriage of E. coli and K. pneumoniae and was associated with an increase in the prevalence of azithromycin-resistant E. coli and K. pneumoniae isolates in BM and VS.
Ofcom’s record as a competition authority: an assessment of decisions in telecoms
Authors: Crocioni Pietro 
Published: December 2020

ABSTRACT
The instrument of concurrency, whereby UK regulatory authorities share and often, in practice, lead in the application of competition policy, is an important feature of the UK competition law regime. Several studies examined its pros and cons from a theoretical perspective. This is the first article to take a different approach and critically assesses Ofcom’s application of its concurrent competition law powers to the telecoms sector. This review identifies a number of shortfalls and provides several recommendations on how Ofcom could improve its record in applying its competition law powers to the telecoms sector to benefit consumers. This raises some serious questions as to whether concurrency improves the application of competition law.