bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barrier analysis of green supply chain management by interpretive structural modelling (ISM) technique
Authors: Mishra P.M. , Sharma Sudhir , Shukla Rajendra K , Singh Alok 
Published: June 2021

Abstract
Industrialization plays a major role in economic development, infrastructure, growth and prosperity of any country. But these industries affects our environment so badly which causes global warming, greenhouse effect, ozone layer depletion, acid rain, pollution etc. Due to these threats green supply chain management comes into picture and many researchers are working on this. It will help in sustainable development of the society. With the help of many researches, literature we are able to know about drivers and barriers of Green Supply Chain Management. There are many methodologies like Interpretive Structural Modelling (ISM Technique), Regression Analysis, Questionnaire Process available which can analyzed effect and response of Green Supply Chain Management. This paper has analyzed some researches and shows the response of the industries which had surveyed; drivers and barriers of Green Supply Chain; Requirements for effective Green Supply Chain Management. The process of Globalization had imaginary convert entire world as single village. Rapid transportation and fast communication has encourages manufacturer form across the world for remote business opportunities. In this context, neck to neck competition in price, quality and post sell services has become the mandatory requirement of market.
Evaluation of the effective mechanical properties of palm oil fuel ash based fiber reinforced concrete
Authors: Srikanth Kristam , Kumar Jagarapu Durga Chaitanya , Venkat Das T , Jeelani Syed Hamim , Eluru Arunakanthi 
Published: June 2021

Abstract
Cement concrete is one of the utmost regularly used building materials next to water. But one tonne of cement produces 1.25 tonnes of CO2 and pollutes the environment. To keep that in mind, in this study the cement is partially replaced with POFA up to 30% (5% equal intervals), and steel fibers are added to the volume of concrete by 0.5% apart from normal concrete. Generally, POFA is one of the Agro-Industrial garbage materials which is coming as of the palm oil industry, with the growing amount of waste produced from the different processes there has been an increasing the waste generation. Increasing intrust in the use of agro - Industrial waste to achieve the potential advantages. Comparing with cement, POFA contains a high silica content. specimens are cast with M40 grade of concrete. The prepared POFA based Fibre reinforced concrete (FRC) was tested for all types of mechanical properties, as compressive strength, split tensile strength, bending strength, and load-deflection curve. All these properties are compared with the nominal concrete.
Developed software for automation toolpaths for laser processes
Authors: Ortiz Igor , Alvarez Piera , Angeles Montealegre M , López Carles Creus 
Published: June 2021

Abstract
Additive manufacturing started in the eighties as a new technology for repairing added value parts. The additive manufacturing technology is based to produce complex features layer by layer, without using complex tooling. For programming coating toolpaths, many operator hours are needed, a software is necessary to facilitate this task of programming complex 3D geometries. A customized CAM-system for laser metal deposition is needed. The objective of this work is to introduce the new software developed by Talens System. This software has been designed for automating the toolpaths and process parameters researched and validated in our laser machine tool, for additive manufacturing as well for laser hardening.
Experimental assessment of compensated distortion in selective laser melting of Ti6Al4V parts
Authors: Stiuso V , Minetola P , Calignano F , Galati M , Khandpur M S , Fontana L 
Published: June 2021

Abstract
Selective laser melting (SLM) is a well-established Additive Manufacturing technique for the fabrication of end-use metal components. Process reliability and maximum product quality are ensured by 20 years of technology development. Nevertheless, depending on the complexity of the part geometry and on the operator experience, different trials are often needed before getting a part first time right. To reduce the number of failed jobs, simulation software packages predict residual stresses and related distortions in SLM parts and propose a compensated geometry for the “right first time” production of the product. In this works, the simulation routines of Amphyon software by Additive Works are experimentally calibrated and validated for the fabrication of a reference geometry by means of an EOSINT M270 machine and Ti6Al4V powder. The calibration of Amphyon is performed using three cantilever specimens and the calibrated SLM simulation is then used to compute the compensated shape of the reference part. The validation of the compensated shape by comparison to the real part geometry shows that Amphyon routines have good prediction capability and dimensional accuracy.
Novel reactive power compensation technique for an inductive load connected with micro grid
Authors: Arockiaraj S. , Sakthisudursun B. , Jawahar M. , Suban A. 
Published: June 2021

Abstract
The modern power factor repair process using Ardunio Mega2560 provides fast, easy and efficient power adjustment among other methods. Adjusting the active factor of the incoming load will reduce the amount of active energy. The speed of adjustment for proper identification of the power factor was performed using the Ardunio Mega2560. The incoming load causes a lower power factor so by using the appropriate system such as Ardunio Mega2560, the appropriate capacitor bank and other components the problem is solved and the results are obtained with MATLAB verification. Whenever the power factor deviates from the required value or it is automatically closed and saves it at all times. The Ardunio Mega2560 is connected to the MATLAB and the power level is available.
Deep learning based optimum fault diagnosis of electrical and mechanical faults in induction motor
Authors: Singh Vikas , Gangsar Purushottam , Atulkar Ashok , Porwal Rajkumar 
Published: June 2021

Abstract
Among all the motors Induction motor (IM) plays a vital role in industry and the demand for their reliability and safe operation is increasing day by day. They are reliable but they do wear out if not maintained timely which in turn will lead to excessive loss of revenue and also man power and this motivates us to develop an intelligent methodology for diagnostic of incipient faults in Induction Motor. This paper focuses on the development of optimum Deep Learning based diagnostic technique to detect the mechanical and electrical faults in Induction Motor. Here, mechanical and electrical faults of different severity level are being tested on machine fault simulator using acquired current and vibrational signals. In this work, optimum model of Deep Neural Network (DNN) based on critical vibration and current features is developed and finally used to timely and effectively detect that which kind of faults the given IM is dealing with. The results are added and discussed in the result and discussions.
Effect of position and shape of electrode on resonant frequency of an artificial epithelium membrane for frequency selectivity
Authors: Karbari Sudha R , Sankanatti Suneel , Uttara Kumari M , Shireesha G 
Published: June 2021

Abstract
Postoperative medical studies by various groups have shown the relevance of electrode position on the hearing outcome of the Cochlear Implant. There are various types of CI in market that are re-evaluated and changed for its functionality. Prior knowledge of the exact position of the electrode within the cochlea is an important parameter of study to improve the electrical stimulation of the hearing nerve for the implants. Similar studies are performed on the artificial epithelium membrane which involves restoring the function of outer and middle ear without bypassing their functionality and providing solution towards a self sustained implantable cochlea. Different shapes of electrodes are evaluated using various structures in dimensional analysis for improving the displacement and the electric stimulation calculated in terms of voltage. Five designs are modelled and optimized for improving the frequency selectivity for its resonance of an epithelium membrane to function as a biomimetic Epithelium membrane. Simulation studies are carried out using FEA analysis tool to introspect and evaluate the tonotopy of the epithelium membrane in terms of electrode shape and position.
Digital Education Program through Accounting Software
Authors: Narimawati U , Andriany J , Indrianingsih M , Octaviany N 
Published: June 2021

Abstract
The purpose of this research is to educate the public about digital MSMEs through Accurate software. We used descriptive methods for 10 MSMEs who have utilized digital platforms but have not utilized Accurate software to support the study. The results show that 4 things affect the facilities and infrastructure of MSMEs’ potential guidance process (Medium, Small, and Medium Entrepreneurs) during the practice. From these results, almost 50% of facilities and infrastructure are relevant to MSMEs’ skills because they have used the software. MSMEs get experience relevant to digital platforms with Accurate software and affect the potential of facilitating bookkeeping.
Preferred life expectancy and the association with hypothetical adverse life scenarios among Norwegians aged 60+
Authors: Skirbekk Vegard , Langballe Ellen Melbye , Strand Bjørn Heine 
Published: June 2021

Abstract

Background
how long older individuals prefer to live given hypothetical adverse changes in health and living conditions has been insufficiently studied.

Objectives
the objective of this study is to investigate the relationship between six adverse health and living conditions and preferred life expectancy (PLE) after the age of 60 years.

Design
cross-sectional face-to-face interviews.

Setting
population-based sample.

Participants
825 community dwellers aged 60 years and older in Norway.

Methods
logistic regression models were used to analyse PLE, measured with a single question: ‘If you could choose freely, until what age would you wish to live?’ The impact on PLE of several hypothetical scenarios, such as being diagnosed with dementia, spousal death, becoming a burden, poverty, loneliness and chronic pain was analysed by age, sex, education, marital status, cognitive function, self-reported loneliness and chronic pain.

Results
average PLE was 91.4 years (95% CI 90.9, 92.0), and there was no difference between men and women, but those at older ages had higher PLE than those at younger ages. The scenarios that had the strongest negative effects on PLE were dementia, followed by chronic pain, being a burden to society, loneliness, poverty and losing one’s spouse. PLE among singles was not affected by the prospect of feeling lonely. The higher educated had lower PLE for dementia and chronic pain.

Conclusion
among Norwegians 60+, the desire to live into advanced ages is significantly reduced by hypothetical adverse life scenarios, with the strongest effect caused by dementia and chronic pain.
oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data
Authors: Maeser Danielle , Gruener Robert F , Huang Rong Stephanie 
Published: June 2021

Abstract
Cell line drug screening datasets can be utilized for a range of different drug discovery applications from drug biomarker discovery to building translational models of drug response. Previously, we described three separate methodologies to (1) correct for general levels of drug sensitivity to enable drug-specific biomarker discovery, (2) predict clinical drug response in patients and (3) associate these predictions with clinical features to perform in vivo drug biomarker discovery. Here, we unite and update these methodologies into one R package (oncoPredict) to facilitate the development and adoption of these tools. This new OncoPredict R package can be applied to various in vitro and in vivo contexts for drug and biomarker discovery.
TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs
Authors: Yu Ting , Han Renmin , Fang Zhaoyuan , Mu Zengchao , Zheng Hongyu , Liu Juntao 
Published: June 2021

Abstract
RNA-seq technology is widely employed in various research areas related to transcriptome analyses, and the identification of all the expressed transcripts from short sequencing reads presents a considerable computational challenge. In this study, we introduce TransRef, a new computational algorithm for accurate transcriptome assembly by redefining a novel graph model, the neo-splicing graph, and then iteratively applying a constrained dynamic programming to reconstruct all the expressed transcripts for each graph. When TransRef is utilized to analyze both real and simulated datasets, its performance is notably better than those of several state-of-the-art assemblers, including StringTie2, Cufflinks and Scallop. In particular, the performance of TransRef is notably strong in identifying novel transcripts and transcripts with low-expression levels, while the other assemblers are less effective.
Positive Long-Term Effects of Third Molar Extraction on Taste Function
Authors: Kim Dane , Doty Richard L 
Published: June 2021

Abstract
Taste and other neurosensory defects have been reported postoperatively in a number of patients who have undergone mandibular third molar extraction (TME). Although the taste deficits are generally believed to resolve within a year, the long-term effects of TME remain unknown. We retrospectively examined the whole-mouth taste function of 891 individuals who had received TMEs, on average, more than 2 decades earlier, and 364 individuals who had not undergone TME. All had been extensively tested for chemosensory function at the University of Pennsylvania Smell and Taste Center over the course of the last 20 years. The whole-mouth identification test incorporated 2 presentations each of 5 different concentrations of sucrose, sodium chloride, citric acid, and caffeine. Analyses of covariance (age = covariate) found those with histories of TME to exhibit better overall test scores for all 4 taste qualities than nonoperated controls. Such scores were not associated with the time since the TME. In both groups, women outperformed men and function declined with age. The basis of this phenomenon, which requires confirmation from prospective studies, is unknown, but could reflect sensitization of CN VII nerve afferents or the partial release of the tonic inhibition that CN VII exerts on CN IX via central nervous system processes.
Comprehensive Evaluation of the Impact of Sociodemographic Inequalities on Adverse Outcomes and Excess Mortality During the Coronavirus Disease 2019 (COVID-19) Pandemic in Mexico City
Authors: Antonio-Villa Neftali Eduardo , Fernandez-Chirino Luisa , Pisanty-Alatorre Julio , Mancilla-Galindo Javier , Kammar-García Ashuin , Vargas-Vázquez Arsenio , González-Díaz Armando , Fermín-Martínez Carlos A , Márquez-Salinas Alejandro , Guerra Enrique C , Bahena-López Jessica Paola , Villanueva-Reza Marco , Márquez-Sánchez Jessica , Jaramillo-Molina Máximo Ernesto , Gutiérrez-Robledo Luis Miguel , Bello-Chavolla Omar Yaxmehen 
Published: June 2021

Abstract

Background
The impact of the coronavirus disease 2019 (COVID-19) pandemic in Mexico City has been sharp, as several social inequalities at all levels coexist. Here we conducted an in-depth evaluation of the impact of individual and municipal-level social inequalities on the COVID-19 pandemic in Mexico City.

Methods
We analyzed suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases, from the Mexico City Epidemiological Surveillance System from 24 February 2020 to 31 March 2021. COVID-19 outcomes included rates of hospitalization, severe COVID-19, invasive mechanical ventilation, and mortality. We evaluated socioeconomic occupation as an individual risk, and social lag, which captures municipal-level social vulnerability, and urban population density as proxies of structural risk factors. Impact of reductions in vehicular mobility on COVID-19 rates and the influence of risk factors were also assessed. Finally, we assessed discrepancies in COVID-19 and non-COVID-19 excess mortality using death certificates from the general civil registry.

Results
We detected vulnerable groups who belonged to economically unfavored sectors and experienced increased risk of COVID-19 outcomes. Cases living in marginalized municipalities with high population density experienced greater risk for COVID-19 outcomes. Additionally, policies to reduce vehicular mobility had differential impacts modified by social lag and urban population density. Finally, we report an under-registry of COVID-19 deaths along with an excess mortality closely related to marginalized and densely populated communities in an ambulatory setting. This could be attributable to a negative impact of modified hospital admission criteria during the pandemic.

Conclusions
Socioeconomic occupation and municipality-wide factors played a significant role in shaping the course of the COVID-19 pandemic in Mexico City.
Disturbance-Induced Trophic Niche Shifts In Ground Beetles (Coleoptera: Carabidae) In Restored Grasslands
Authors: Rahman Azeem U , Jones Holly P , Hosler Sheryl C , Geddes Seth , Nelson Melissa , Barber Nicholas A 
Published: June 2021

AbstractEcosystem restoration is a critical component of land management, countering the loss of native biodiversity. Restoration efforts are enhanced by reintroducing naturally occurring ecosystem processes, including disturbances that may impact species characteristics such as niche position or niche size. In grasslands, grazing and fire affect plant diversity and habitat complexity, which potentially influence insect dietary behaviors and thus their contributions to functions like seed and arthropod predation. Using carbon and nitrogen stable isotopes, we characterized variation in the dietary niche of six ground beetle species (Coleoptera: Carabidae) in response to grazing by reintroduced bison and prescribed fire disturbances in twenty tallgrass prairies. Management disturbances did not affect activity density for most beetle species and mean trophic position was mostly unaffected. However, five of six species exhibited increased trophic niche area and breadth with disturbances, indicating a switch to a more generalist diet that incorporated a wider range of food items. The combination of bison and fire impacts may increase vegetation patchiness and heterogeneity, driving these diet changes. Morphological traits and microhabitat preferences might mediate response to disturbances and the resulting heterogeneity. Combining prescribed fire and grazing, which increases plant diversity and vegetation structural diversity, may help beetle communities establish over time and support the ecological functions to which these insects contribute.
Fitness vs Fatness as Determinants of Survival in Noninstitutionalized Older Adults: The EXERNET Multicenter Study
Authors: Navarrete-Villanueva David , Gómez-Cabello Alba , Gómez-Bruton Alejandro , Gesteiro Eva , Rodríguez-Gómez Irene , Pérez-Gómez Jorge , Villa-Vicente José Gerardo , Espino-Toron Luis , Gusi Narcís , González-Gross Marcela , Ara Ignacio , Vicente-Rodríguez Germán , Casajús José A 
Published: June 2021

Abstract

Background
Physical fitness and body composition are important health indicators; nevertheless, their combined pattern interrelationships and their association with mortality are poorly investigated.

Methods
This longitudinal study is part of the Spanish EXERNET-Elder project. Person-months of follow-up were calculated from the interview date, performed between June 2008 and November 2009, until the date of death or censoring on March 2018 (whichever came first). In order to be included, participants had to fulfill the following criteria: (a) be older than 65 years, (b) live independently at home, (c) not suffer dementia and/or cancer, and (d) have a body mass index above 18.5. Body fat and weight were assessed by a bioelectrical impedance analyzer. Fitness was measured with the Senior Fitness and the one-leg static balance tests. The Spanish Death Index was consulted for the death’s identification. Cluster analysis was performed to identify Fat–Fit patterns and traditional cut-points and percentiles to create the Fat–Fit groups. Cox proportional hazards regression models were used to calculate the hazard ratios (HRs) of death in clustered Fat–Fit patterns and in traditional Fat–Fit groups.

Results
A total of 2299 older adults (76.8% of women) were included with a baseline mean age of 71.9 ± 5.2 years. A total of 196 deaths (8.7% of the sample) were identified during the 8 years of follow-up. Four clustered Fat–Fit patterns (Low fat–Fit, Medium fat–Fit, High fat–Unfit, and Low fat–Unfit) and 9 traditional Fat–Fit groups emerged. Using the Low fat–Fit pattern as the reference, significantly increased mortality was noted in High fat–Unfit (HR: 1.68, CI: 1.06–2.66) and Low fat–Unfit (HR: 2.01, CI: 1.28–3.16) groups. All the traditional Fit groups showed lower mortality risk when compared to the reference group (obese–unfit group).

Conclusion
Physical fitness is a determinant factor in terms of survival in community-dwelling older adults, independently of adiposity levels.
Evaluation of the All Right? Campaign for tangata whaiora/mental health service users in Canterbury, New Zealand
Authors: Calder Kristi , Begg Annabel , D’Aeth Lucy , Turner Sue , Fox Ciaran , Nobes Beth , Pope Kelly , Bell Caroline 
Published: June 2021

Summary
All Right? is a wellbeing campaign developed in response to the devastating Canterbury earthquakes of 2010 and 2011. Vulnerable groups post-disaster include people with a prior history of or unresolved mental illness. This research focussed on the reach and impact of All Right? specifically for tangata whaiora/mental health service users. Evaluation objectives were primarily focussed on assessing the extent which mental health service users engaged with All Right? and to determine the impact of this interaction. Both qualitative and quantitative methods were used to gather data. Findings indicated that mental health service users responded to All Right? to a greater extent than the general target population, e.g. about one-third (37%) of respondents to a population based Christchurch survey agreed that they had done activities as a result of what they had seen or heard of the All Right? campaign compared with approximately two-thirds (68%) of respondents to the mental health service users’ survey. One of the key factors facilitating mental health service users’ engagement with All Right? appears to be that the campaign was directed at whole-of-population level, therefore engagement was not defined by being a mental health service user. Engagement was also likely to be facilitated by the campaigns perceived impact of reducing mental illness-related stigma. This research concluded that population-wide wellbeing campaigns in the post-disaster context, when done well, can positively impact the wellbeing of the overall population, including mental health service users.