bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of Green Supply Chain Practices for Sustainable Organizational Performance for the Automotive Sector
Authors: Vijayvargy Lokesh , Sahoo Saumyaranjan 
Published: June 2021

AbstractThe supply chain is the most significant network linking the supplier and buyer to the first raw material state and final product distribution. Because of the rise in global warming and environmental degradation, green practices have become important in every organization. There is a wide scope for adopting green practices such as green supply chain management (GSCM) in the automotive sector, as it contributes a large amount of air pollution and hazardous waste to the environment, especially in developing countries such as India. The study aims to evaluate GSCM in the Indian automotive industry. The data of the 69 Automotive Manufacturers were collected through a structured questionnaire. The study uses five GSCM activities and three performance metrics to assess GSCM’s impact on business performance. The study concludes that GSCM practices have a positive impact on organizational performance which improves the environment and leads to profitability & productivity.
Developing and Implementing Environment Management Practices in Small and Medium Size Manufacturing Companies in India
Authors: Sharma H P , Kumar K 
Published: June 2021

Abstract
The adoption and implementation of environment management system (EMS) has garnered a lot of interest among organizations all around the world. Adoption and implementation of EMS entail number of benefits to the companies from energy efficiency, waste reduction, improved sustainability etc. However, adoption of environment management practices may not yield direct benefits in short run for Small & Medium Enterprises (SMEs). Therefore, it is crucial to understand as to what influence the adoption and implementation of environment management practices. The purpose of this study is to examine the factors that contribute to the adoption and implementation of environment management practices in small & medium manufacturing companies in India. 219 senior managers were surveyed from seventy-eight manufacturing companies from Noida Industrial area NCR, India. Application of factor analysis found four factors significantly contributing to the adoption and implementation of environment management practices in manufacturing companies in India.
Suitability Assessment of Groundwater for Irrigation in Some Villages of Sirsa District, Haryana (India)
Authors: Kumar P , Jain S 
Published: June 2021

Abstract
To determine the groundwater quality a total of twenty groundwater samples were collected from some villages of Sirsa district, Haryana, India, which is one of the most important agricultural areas of the state. The groundwater samples were collected in November 2016 from different villages of the city Sirsa. The suitability of groundwater for irrigation was assessed by determining the Sodium Absorption Ratio, % Na, Kelly’s Index, Permeability index, EC, Chloro-alkaline indices and Residual Sodium Carbonate. The CAI analysis shows the reverse cation exchange for most of the stations. The Gibbs diagrams show the precipitation dominance for most of the stations. The Piper diagram shows the alkali dominance for most of the samples. On the basis of the values of different parameters the quality of ground water at different stations was categorized into three different classes mainly excellent, good or unsuitable.
Process Optimization for Biodiesel Production from Highly Acidic Hibiscus Cannabinus (Deccan Hemp) Oil
Authors: Manjunatha Swamy K M , Manjunath H , Yatish K V 
Published: June 2021

Abstract
In this study, Hibiscus Cannabinus (deccan hemp) oil was used to convert its methyl ester. Methyl ester synthesis process involves of two-steps: esterification of sulfuric acid (Step-1) and alkaline transesterification (Step-2). Deccan hemp oil was found to have an initial acid value of 12.48 mg KOH/g. The acid value of deccan hemp oil was decreased to below 2 mg KOH/g in Step-1 taking consideration to get higher ester yield after alkaline transesterification process. The alkaline transesterification process parameters such as methyl alcohol to deccan hemp oil molar ratio, sulfuric acid catalyst amount, reaction temperature and reaction time were optimised and analysed in detail. This process gives ester yield of about 95.48%. The important properties of the synthesised methyl ester were determined and compared with IS 51607 and ASTM D6751 biodiesel standards.
Building Resilient Future: Information Technology and Disaster Management- A Malaysian Perspective
Authors: Kamran Abid Sheikh , Sulaiman Noralfishah , Shiau Wei Chan , Nazir Umber 
Published: June 2021

Abstract
The recent evets of flooding, earthquakes, uncontrolled wildfires, hurricanes, and deadly storms in world has considered a serious threat to mankind and preparing for devastating disasters has never been more critical and urgent. Emergency Events Database suggests that by year 2050 the damages to flood related incidents to coastal cities will cost near to US$1 trillion. Risk from acts of nature cannot be fully prevented but needs to minimize and safe the innocent lives and property by utilizing disaster management technique to mitigate the losses. This paper presents Information Technologies applications in disaster management phases such as Mitigation, Preparedness, Response and Recovery. Geographic Information System, Remote Sensing, mobile technology, drone, and satellite imagery and MOBILISE analytic platform considered as effective and efficient ways of strengthening resilience when disaster strikes and tremendously helpful for coordinating responses and accelerating the recovery of individuals and communities in the aftermath of recent natural disasters.
Strategies for Reduction of Harmful Emissions from Diesel Engines
Authors: Sharma Vipin , Dewang Yogesh , Jain Supriya , Jat Sachin , Singh Baghel Mukesh 
Published: June 2021

Abstract
Reduction of harmful exhaust emissions from combustion of fossil fuels from automotive sectors is of prime importance and extensively researched by various strategies. Engine emissions control techniques can be bifurcated in categories of active control techniques and passive control techniques. In the active control techniques, the emissions are controlled in the combustion chamber itself while in the passive control techniques the emissions are controlled after completion of combustion. There are different strategies such as alternative fuels, fuel additives, nanofluids, water-in-diesel etc. commonly used to reduce harmful emissions and improve performance of fossil fuel-based energy systems. The alternative fuels such as alcohol and biodiesel are gaining importance. Biodiesel has certain limitations but blending with alcohol enables the maximum usage of biodiesel in the fuel blends. In this paper active control strategies are highlighted and discussed.
Life Cycle Based Greenhouse Gas Footprint Assessment of a Smartphone
Authors: Joshi Aditya , Gupta Abhishek , Verma Shalini , Ranjan Paul Akshoy , Jain Anuj , Haque Nawshad 
Published: June 2021

Abstract
A life cycle assessment (LCA) technique has been used to evaluate the greenhouse gas impact of a smartphone. Smartphones are becoming popular due to the advancement in technology, improved connectivity, and cheaper prices. The production of smartphones on a mass scale has an impact on the environment. A Fairphone 1 from Fairphone enterprise has been chosen for this study as the company is trying to promote sustainability and phones with lower environmental impact. Different life cycle stages are chosen for the study, such as production, assembly, transportation, and end-of-life waste treatment. The use phase was excluded from this study for the sake of simplicity. The goal and scope are defined for the study, and the environmental effect is assessed using the Recipe 2016 method. The climate change impact category has been chosen for the study since it is a relatively well-known impact. The impact assessment results show that most of the contribution to the overall impact is due to the production phase (62%) followed by transportation (27%). The relative contribution of the production of the components is also represented, and it shows that the most likely impact is from the production of Printed Circuit boards (PCBs).
Environmental Impact Assessment of Coal Gasification in Hydrogen Production
Authors: Kumar Rajput Sandeep , Verma Shalini , Gupta Abhishek , Ranjan Paul Akshoy , Jain Anuj , Haque Nawshad 
Published: June 2021

Abstract
Increasing industrialization and population demands for higher energy use as electricity. Coal has a broader share in electricity generation but there is problem of GHG emission due to direct coal combustion. Coal gasification is adopted as a cleaner technology in place of traditional method of generating electricity and hydrogen production. This study develops an assessment method to evaluate the pollutant emissions generated from coal gasification process. Life cycle assessment (LCA) is a method used for evaluation of greenhouse gas emission quantity and fossil energy consumption. A system boundary of cradle to production stage is chosen for the study. The result shows that during coal mining and cleaning process CO2 emission has higher contribution compared to CH4and N2O. In this stage, total CO2 emission is 19.976 kg in which diesel alone emits 72.46 % of CO2. During transportation of coal, train transport medium has lower CO2 emission as 5.413 kg while road transportation emits 8.144 kgCO2. Production phase suggests that carbon capture and storage condition is suitable for environmental protection as it reduces CO2, CH4 and N2O emission.
Experimental Investigation of Light Weight Concrete Using Sintered Fly Ash Aggregates
Authors: Dhemla Pankaj , Swami B L , Somani Prakash 
Published: June 2021

Abstract
Light Weight Concrete (LWC) is popularly used in multi-story building frames, curtain walls, shell roofs, folded plates, prestressed or precast elements due to its lower dead load as compared to conventional concrete. Although it is less popular in practice because of its high-water absorption capacity, high cost, lack of standard specifications, and difficulty in consistent batches. This paper presents experimental study of right proportion of different size of Sintered Light Weight Aggregate (SLWA) and its influence on fresh and mechanical properties. LWC mixes were prepared with pre-soaked aggregates of different sizes 8-12mm and 4-8 mm. Their proportioning plays an important role in the density and strength of concrete. The aggregates were mixed in various proportions of 80:20, 60:40, 40:60, and 20:80, to study the fresh and harden properties of LWC. Results showed that LWC prepared with finer aggregate (4-8mm) reduces the bulk density and enhances the mechanical properties.
Composting: A Better Alternative of Chemical Fertilizer
Authors: Parihar Parveen , Sharma Susheela 
Published: June 2021

Abstract
Increases in the different types of pollution and their harmful impacts divert the concern of humans toward the environment and also the measures to control these pollutions. Research proved that there is a strong connection between human activities and pollution. Steps should be taken to minimize these pollutions. Already lots of study is done in this area but much more is needed to be done. As chemical fertilizers can increase the plant growth rapidly but this growth does not develop good characters in plants. The chemicals of these plants assemble in human body when used. One of the ways of improvement is to use the natural material in agriculture instead of synthesized chemicals because these chemicals show long term negative impact on the environment as well as on human health. By doing the traditional composting practice we can minimize pollution and provide the natural bio-fertilizers to the plants which are safer for the environment and the human. This paper is the overview of composting discussing its process, different types and the physical and chemical properties of product “compost”. It also focused on the types of organic wastes that can be used for composting. The process of composting depends on different parameters for its maturity and stability.
Magnetization performance of hard/soft Nd9.6Fe80.3Zr3.7B6.4/α-Fe magnetic nanocomposites produced by surfactant-assisted high-energy ball milling
Authors: Semaida A M , Bordyuzhin I G , El-Dek S I , Kutzhanov M K , Menushenkov V P , Savchenko A G 
Published: June 2021

Abstract
Neodymium iron boron (NdFeB) magnets are sintered anisotropic materials. They were commercially introduced in the early 1980s, and since have been used in different applications owing to their superior properties. Herein, we investigated the influence of 0.5 to 8 h of milling time on the morphological, structural, and magnetic performance of Nd9.6Fe80.3Zr3.7B6.4 powders produced using surfactant-assisted high-energy ball milling (SA-HEBM). The results revealed that the relationship between coercivity (H

ci
) and milling time had a non-monotonous character reaching a maximum value of H

ci
= 8.92 kOe after 1 h of milling. The effect of the volume ratio of various magnetic phases (Nd2Fe14B and α-Fe) on microstructure and magnetic properties was also reported. The highest specific saturation magnetization (σ

s
= 120 emu g−1) was attained after 8 h of milling for powders with volume fraction: Nd2Fe14B–81 ± 2% and α-Fe–12 ± 2%. The expected value of Nd2Fe14B specific saturation magnetization was estimated (σ

N
= 108 ± 2.5 emu g−1) using the experimental value of σ

s
and magnetic phase volume fractions. The ratio of remanence to saturation magnetization of the Nd2Fe14B with milling time was also determined and analyzed.
How I Diagnose Primary Mediastinal (Thymic) Large B-Cell Lymphoma
Authors: Ondrejka Sarah L , Ott German 
Published: June 2021

Abstract

Objectives
Primary mediastinal (thymic) large B-cell lymphoma (PMBL) is an uncommon large B-cell neoplasm recognized by the World Health Organization as a distinct entity on the basis of its unique clinical features, histogenesis, phenotype, and pathogenetic mechanisms. The diagnosis of PMBL can be challenging because of features that may overlap with other (Hodgkin and non-Hodgkin) lymphoma types. This review describes our approach to the diagnosis of PMBL.

Methods
Two cases are presented to illustrate how we diagnose PMBL and separate PMBL from related histologic and biological mimickers, such as Hodgkin lymphoma and gray zone lymphoma.

Results
A diagnosis of PMBL requires correlation of morphology and immunophenotype with clinical and staging data. Gene expression analysis is not typically performed in clinical labs but has expanded our understanding of the functional pathways underlying this disease and helped identify biomarkers that can be translated to diagnostic practice and possibly to future therapeutic options.

Conclusions
PMBL and closely related entities can pose diagnostic challenges. It is important to understand the borders between PMBL and other closely related lymphoma types so that patients receive successful primary treatment with curative intent.
Spatiotemporal Analysis of the Association Between Pain Management Clinic Laws and Opioid Prescribing and Overdose Deaths
Authors: Cerdá Magdalena , Wheeler-Martin Katherine , Bruzelius Emilie , Ponicki William , Gruenewald Paul , Mauro Christine , Crystal Stephen , Davis Corey S , Keyes Katherine , Hasin Deborah , Rudolph Kara E , Martins Silvia S 
Published: June 2021

Abstract
Pain management clinic (PMC) laws were enacted by 12 states to promote appropriate opioid prescribing, but their impact is inadequately understood. We analyzed county-level opioid overdose deaths (National Vital Statistics System) and patients filling long-duration (≥30 day) or high-dose (≥90 morphine milligram equivalents per day) opioid prescriptions (IQVIA, Inc.) in the United States in 2010–2018. We fitted Besag-York-Mollié spatiotemporal models to estimate annual relative rates (RRs) of overdose and prevalence ratios (PRs) of high-risk prescribing associated with any PMC law and 3 provisions: payment restrictions, site inspections, and criminal penalties. Laws with criminal penalties were significantly associated with reduced PRs of long-duration and high-dose opioid prescriptions (adjusted PR = 0.82, 95% credible interval (CrI): 0.82, 0.82, and adjusted PR = 0.73, 95% CI: 0.73, 0.74 respectively) and reduced RRs of total and natural/semisynthetic opioid overdoses (adjusted RR = 0.86, 95% CrI: 0.80, 0.92, and adjusted RR = 0.84, and 95% CrI: 0.77, 0.92, respectively). Conversely, PMC laws were associated with increased relative rates of synthetic opioid and heroin overdose deaths, especially criminal penalties (adjusted RR = 1.83, 95% CrI: 1.59, 2.11, and adjusted RR = 2.59, 95% CrI: 2.22, 3.02, respectively). Findings suggest that laws with criminal penalties were associated with intended reductions in high-risk opioid prescribing and some opioid overdoses but raise concerns regarding unintended consequences on heroin/synthetic overdoses.
Invited Commentary: The Role of Tuberculosis Screening Among Migrants to Low-Incidence Settings in (Not) Achieving Elimination
Authors: Campbell Jonathon R , Schwartzman Kevin 
Published: June 2021

AbstractThe cost-effectiveness of migrant tuberculosis prevention programs is highly relevant to many countries with low tuberculosis incidence as they attempt to eliminate the disease. Dale et al. (Am J Epidemiol. 2022;191(2):255–270) evaluated strategies for tuberculosis infection screening and treatment among new migrants to Australia. Screening for infection before migration, and then administering preventive treatment after arrival, was more cost-effective than performing both screening and treatment after arrival. From the Australian health payer perspective, the improved cost-effectiveness of premigration screening partly reflected the shift of screening costs to migrants, which may raise ethical concerns. Key sensitivity analyses highlighted the influence of health disutility associated with tuberculosis preventive treatment, and of posttreatment sequelae of tuberculosis disease. Both considerations warrant greater attention in future research. For all strategies, the impact on tuberculosis incidence among migrants was modest (&lt;15%), suggesting enhanced migrant screening will not achieve tuberculosis elimination in low-incidence settings. This emphasizes the need to increase investment and effort in global tuberculosis prevention and care, which will ultimately reduce the prevalence of tuberculosis infection and therefore the risk of tuberculosis disease among migrants. Such efforts will benefit high and low tuberculosis incidence countries alike, and advance all countries further toward tuberculosis elimination.
PolarProtPred: predicting apical and basolateral localization of transmembrane proteins using putative short linear motifs and deep learning
Authors: Dobson Laszlo , Zeke András , Tusnády Gábor E 
Published: June 2021

Abstract

Motivation
Cell polarity refers to the asymmetric organization of cellular components in various cells. Epithelial cells are the best-known examples of polarized cells, featuring apical and basolateral membrane domains. Mounting evidence suggests that short linear motifs play a major role in protein trafficking to these domains, although the exact rules governing them are still elusive.

Results
In this study we prepared neural networks that capture recurrent patterns to classify transmembrane proteins localizing into apical and basolateral membranes. Asymmetric expression of drug transporters results in vectorial drug transport, governing the pharmacokinetics of numerous substances, yet the data on how proteins are sorted in epithelial cells is very scattered. The provided method may offer help to experimentalists to identify or better characterize molecular networks regulating the distribution of transporters or surface receptors (including viral entry receptors like that of COVID-19).

Availability and implementation
The prediction server PolarProtPred is available at http://polarprotpred.ttk.hu.

Supplementary information
Supplementary data are available at Bioinformatics online.
MMpred: a distance-assisted multimodal conformation sampling for de novo protein structure prediction
Authors: Zhao Kai-Long , Liu Jun , Zhou Xiao-Gen , Su Jian-Zhong , Zhang Yang , Zhang Gui-Jun 
Published: June 2021

Abstract

Motivation
The mathematically optimal solution in computational protein folding simulations does not always correspond to the native structure, due to the imperfection of the energy force fields. There is therefore a need to search for more diverse suboptimal solutions in order to identify the states close to the native. We propose a novel multimodal optimization protocol to improve the conformation sampling efficiency and modeling accuracy of de novo protein structure folding simulations.

Results
A distance-assisted multimodal optimization sampling algorithm, MMpred, is proposed for de novo protein structure prediction. The protocol consists of three stages: The first is a modal exploration stage, in which a structural similarity evaluation model DMscore is designed to control the diversity of conformations, generating a population of diverse structures in different low-energy basins. The second is a modal maintaining stage, where an adaptive clustering algorithm MNDcluster is proposed to divide the populations and merge the modal by adjusting the annealing temperature to locate the promising basins. In the last stage of modal exploitation, a greedy search strategy is used to accelerate the convergence of the modal. Distance constraint information is used to construct the conformation scoring model to guide sampling. MMpred is tested on a large set of 320 non-redundant proteins, where MMpred obtains models with TM-score≥0.5 on 291 cases, which is 28% higher than that of Rosetta guided with the same set of distance constraints. In addition, on 320 benchmark proteins, the enhanced version of MMpred (E-MMpred) has 167 targets better than trRosetta when the best of five models are evaluated. The average TM-score of the best model of E-MMpred is 0.732, which is comparable to trRosetta (0.730).

Availability and implementation
The source code and executable are freely available at https://github.com/iobio-zjut/MMpred.

Supplementary information
Supplementary data are available at Bioinformatics online.