bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental investigation of an air conditioner unit by varying different air flow rates using air and evaporatively cooled condenser
Authors: Hussain Taliv 
Published: December 2019

Abstract
An air conditioning system consumes enormous amount of energy particularly in the areas having hot and humid weather conditions. Thus, improvement in the performance of an air conditioner for such climatic conditions can be obtained by incorporating evaporative cooling instead of conventional air cooling. In this paper, effectiveness of an air conditioner unit using air cooled condenser and evaporatively cooled condenser is performed experimentally by varying three different air flow rates i.e (4.5, 6.0 and 7.5 m/s). Experimental results indicate that utilization of evaporatively cooled conditioning unit has a remarkable effect on the COP (Coefficient of performance) and rate of improvement is also better than conventional air cooled conditioning unit.
A Review on Performance and Emission of CI Engine using Exhaust gas recirculation (EGR)
Authors: Dubey Aseem , Ahmad Ansari Naushad , Kumar Girish , Arora Akhilesh , Sharma Abhishek 
Published: December 2019

Abstract
The diesel engine has the advantage over gasoline engine due to its low fuel consumption, higher combustion efficiency, durability and low hydrocarbons (HC), particulate, carbon dioxide (CO2), carbon monoxide (CO) and NOXemission as a major source. Due to abovesaid problems, diesel is now blended with Biofuels and play a significant role to meet its energy and environmental challenges. Exhaust gas recirculation (EGR) is an eco-friendly alternativeto lower NOX and particulates emission. The use of EGR in compression ignition engines, lowers the concentration of oxygen mixture and flame temperature. However, it has been observed that advantages of EGR is fuel specific. In present paper a performance review of compression ignitionengine using EGR with blended fuelshas been carried out. The effect on break power, break specific fuel consumption, thermal efficiency has been reported. Further aspects of response surface methodology on optimization of NOx emission, smoke opacity and BSFChasbeen carriedout using blended fuel, EGR rate, injection timing etc.
Numerical investigation of temperature distribution in blast furnace hearth
Authors: Ubale Divyesh , Ubale Prafulla 
Published: December 2019

Abstract
Erosion of the Blast Furnace hearth affects the life of the Blast Furnace. High temperature across the molten iron and hearth makes it difficult to measure temperature in real life. Temperature prediction inside the hearth is a complex process as it involves conjugate heat transfer. A CFD model is developed for analysing the temperature distribution across slag, molten iron and hearth. It is essential for estimating the life of Blast Furnace and the wear rate of hearth. Three different cases are analysed and the temperature profiles are plotted. The CFD results are validated with the published experimental results in the literature. Only temperature effects are considered and natural convection effect is neglected for the analysis of hearth.
Materiality analysis of SCM issues for Competitive Advantage: Study of an Indian FMEG Organization
Authors: Mathur Sandeep , Kumar Ravinder 
Published: December 2019

Abstract
Fast Moving Electrical Goods (FMEG) products represent the basic needs of its consumers in the modern society, influencing their life style in every way from living room to drawing room, from kitchen to the bedroom. Globalization has resulted in fierce competition among the players of this fast growing sector. The only way therefore to sustain a profitable growth is to stay competitive in local and global market. However, given the legacies of past practices and old mindsets of Indian FMEG players, it is not easy for any organization to stay competitive unless it applies a systematic and scientific approach of supply chain management (SCM).This work attempts to analyse the issues of supply chain for competitive advantage of an Indian FMEG organization. The company under study has adopted a unique approach of materiality analysis that complemented seamlessly with the SWOT analysis to evolve its supply chain strategies and priorities. The process thus built around them has been evaluated against the performance in line with customer expectations. The case study offers an excellent framework to follow for any FMEG organization seeking competitive advantage in the face of current global challenges.
Cycle-by-cycle variations in a spark ignition engine fueled with gasoline and natural gas
Authors: Kumar Singotia Pawan , Saraswati Samir 
Published: December 2019

Abstract
A comparative study of cycle-by-cycle variations (CCV) in a spark ignition (SI) engine fueled with gasoline and natural gas was conducted. The average peak cylinder pressure (PP), indicated mean effective pressure (IMEP) and maximum rate of pressure rise ((dp/dθ)max)are found to be low for engine fueled with natural gas in comparison to that of gasoline. However, the CCV of these parameters increases as engine operation is switched from gasoline to natural gas. The coefficient of variation (COV) of PP, IMEP and (dp/dθ)max significantly increases at very low load condition for both the fuels due to high residual gases. Natural gas engine shows more misfiring cycles in comparison to gasoline engine. Further, CCV increases with the increase of engine speed for both the fuels because of an increase in turbulence and instable combustion at high engine speed. As engine speed increases and engine load decreases the combustion based parameters become more independent of crank angle due to high CCV in these conditions.
Investigation of Automatic Solar Irrigation Model
Authors: Verma Aditya , Jha Shubham kr. , Chandra Verma Ramesh , Kumar Naresh , Ranjan Rajiv , Tiwari Sumit 
Published: December 2019

Abstract
India is an agriculture prominent country. Scientist and researchers are continuously working for betterment of agriculture processes. From the research, it was found that there is a loss of power and resources in irrigation process. Present manuscript consist of proposed model which utilizes renewable energy (solar energy) to operate irrigation process which results in better handling within limited resources. Proposed system consist of moisture sensing device in the field that provide convenience to farmer by supporting them in automation at very minute energy. This proposed design uses polycrystalline photovoltaic solar panel to charge the battery and this battery provide power supply to operate the model.
Metal matrix composites- a review on synthesis and characterization
Authors: Kumar Srivastava Ashish , Gupta Yash , Patel Saurabh , Kumar Tiwari Sachin , Pandey Shubham 
Published: December 2019

Abstract
The manufacturing industries continuously demanded the new class of engineering materials for various applications. It results in improvement of metal matrix composites. Development of newer materials like MMCs are one of the keen area of research now a day’s. In this regard various literatures are available in open literature on development, characterization and application of MMCs. In this work an attempt is made to discuss the available literatures in terms of their output findings. The work also focuses on the area where the more attention is required to carry out the research work.
Experimental Lumped Analysis of Different Solid Geometries
Authors: Mishra Mukesh , Kumar Pradeep 
Published: December 2019

Abstract
Present work describes the experimental analysis of unsteady state heat transfer of different solid geometries. Heat transfer process in considered as a function of time only i.e. solid body behave as ‘Lumped’ means there is uniform temperature with in the body and having negligible internal thermal conduction resistance. The lumped analysis is done with cylindrical, conical and mixed geometry of cylinder and cone of two different materials. Specimens are heated in water ant cooled in air to estimate the heat transfer response of geometries in same ambient conditions MATLAB programming is done for calculation to obtain good and accurate results and to estimate heat transfer response of different geometries used in many engineering application.
Modelling of Risk Analysis in Production System
Authors: Shakya Rishabh , Chauhan Prashant 
Published: December 2019

Abstract
Production system may be defined as “The procedure, methods or arrangement which includes all functions required to gather the inputs, process or reprocess the inputs, and deliver the finished output”. Industries are also faced with different challenges due to the increasing complexity of their own production processes. Owing to the complex nature of production system because of its interface between organizations, technologies and tacit knowledge of employees, it is very difficult to analyse the inter-relationship among the various risks. Interpretive structural modelling (ISM) is a well-established methodology for identifying relationships among specific items, which define a problem or an issue. In this study, inter relationships among various risks like coordination risk, disruption risk quality risk etc. are established and categorized eight risks in four categories to focus on most influential risks among them.
Performance of Solar Photovoltaic panel using Forced convection of water-based CuO nanofluid: An Understanding
Authors: Nandan Gopal 
Published: December 2019

Abstract
Most of the conventional Solar Photovoltaic module consists of a Silicon cell that converts sunlight into electric energy. The process of conversion into electricity is exothermic and all photons are not able to produce electricity due to insufficient energy. Depending upon efficiency to convert it into electricity only the small amount of radiations are used and rest all are involved in increasing the temperature of the module. Study shows that 80% of incident solar radiation are absorbed by a solar photovoltaic cell. This increases the temperature of the module, reduces its electrical efficiency. This increase in temperature affects the power output and lifespan of the PV module. So to maintain the temperature of the module various cooling methods such as air cooling, hydraulic cooling, heat pipe cooling, cooling with phase change materials and cooling with nanofluids have been reported in the literature. The use of suitable nanofluids is one of the effective methods to increase thermal capacitance and control the temperature rise of the PV module. To increase the performance of the system thermal properties of working fluid must be improved which is achieved by using suitable additives with the base fluid which are referred to as nanofluids. Using Copper oxide/water as a working fluid analysis was performed. It was concluded that performance can be improved significantly if we integrate the system with a good heat exchanger. In this paper, the effect of CuO based nanofluids as a cooling medium for a PV module has been reported.
Exergy analysis and performance optimization of bagasse fired boiler
Authors: Parvez Yusuf , Hasan M M 
Published: December 2019

Abstract
In the present scenario, the energy crisis and its demand have become the global problems that restrict the sustainable development. To overcome this problem, one needs to develop an advanced technological system which not only improves the system performance but also reduces the environmental effects. Several technologies have been established among which cogeneration appeared to be the most lucrative option. India, one of the leading producers of sugarcane, has enough cogeneration capacity in sugar mills. From the previous research articles, energy analysis explores several components which account for the significant loss of energy in a cogeneration power plant but the analysis based on the second law depicts that maximum exergy destruction occurred in a boiler. Hence, to enhance the overall performance of the plant, we need to improve boiler performance. In the present study, the energy and exergy analyses of a sugarcane bagasse boiler are carried out, and it has been seen that the energy efficiency of the boiler is high enough (81.78%). However, the second law efficiency is 25.08%, the irreversibility rate associated with the combustion chamber is 50.06 MW is a significant value which shows that 45.56% of the input fuel exergy is destroyed in the combustion chamber only. The irreversibilities associated with the heat exchangers are also significant which has been investigated as 17.23% of the input exergy of the fuel. This shows that the combustion chamber and heat exchangers both have enough scope of improvement.
A review on Snake-like Continuum Robots for Medical Surgeries
Authors: Jha Manika , Ram Chauhan Nathi 
Published: December 2019

Abstract
This paper describes the various applications of Continuum robots in the field of medical science. These robots are biologically inspired by trunks and snakes. They possess the ability to transverse into small and restricted spaces, to manipulate objects in difficult environments and move in curved path. Due to this ability they can be extensively used in medical science as precision is very important in this field. Recently, increasing efforts have been made towards different surgical areas. In this paper recent state if structure, modeling and actuation in snake like robot is provided. Recently, increasing efforts have been made in various surgical interventions. In this paper, current state of structure, modelling and actuation in snake like robot is provided.
Sufficient dimension reduction for compositional data
Authors: Tomassi Diego , Forzani Liliana , Duarte Sabrina , Pfeiffer Ruth M 
Published: December 2019

SummaryRecent efforts to characterize the human microbiome and its relation to chronic diseases have led to a surge in statistical development for compositional data. We develop likelihood-based sufficient dimension reduction methods (SDR) to find linear combinations that contain all the information in the compositional data on an outcome variable, i.e., are sufficient for modeling and prediction of the outcome. We consider several models for the inverse regression of the compositional vector or transformations of it, as a function of outcome. They include normal, multinomial, and Poisson graphical models that allow for complex dependencies among observed counts. These methods yield efficient estimators of the reduction and can be applied to continuous or categorical outcomes. We incorporate variable selection into the estimation via penalties and address important invariance issues arising from the compositional nature of the data. We illustrate and compare our methods and some established methods for analyzing microbiome data in simulations and using data from the Human Microbiome Project. Displaying the data in the coordinate system of the SDR linear combinations allows visual inspection and facilitates comparisons across studies.
Phenotype–genotype network construction and characterization: a case study of cardiovascular diseases and associated non-coding RNAs
Authors: Wu Rongrong , Lin Yuxin , Liu Xingyun , Zhan Chaoying , He Hongxin , Shi Manhong , Jiang Zhi , Shen Bairong 
Published: December 2019

AbstractThe phenotype–genotype relationship is a key for personalized and precision medicine for complex diseases. To unravel the complexity of the clinical phenotype–genotype network, we used cardiovascular diseases (CVDs) and associated non-coding RNAs (ncRNAs) (i.e. miRNAs, long ncRNAs, etc.) as the case for the study of CVDs at a systems or network level. We first integrated a database of CVDs and ncRNAs (CVDncR, http://sysbio.org.cn/cvdncr/) to construct CVD–ncRNA networks and annotate their clinical associations. To characterize the networks, we then separated the miRNAs into two groups, i.e. universal miRNAs associated with at least two types of CVDs and specific miRNAs related only to one type of CVD. Our analyses indicated two interesting patterns in these CVD–ncRNA networks. First, scale-free features were present within both CVD–miRNA and CVD–lncRNA networks; second, universal miRNAs were more likely to be CVDs biomarkers. These results were confirmed by computational functional analyses. The findings offer theoretical guidance for decoding CVD–ncRNA associations and will facilitate the screening of CVD ncRNA biomarkers.Database URL: http://sysbio.org.cn/cvdncr/
The Association Between Deaf Identity and Emotional Distress Among Adolescents
Authors: Lambez Tal , Nagar Maayan , Shoshani Anat , Nakash Ora 
Published: December 2019

Abstract
The sociocultural approach regards being deaf as a cultural characteristic in the identity of a deaf/hard-of-hearing (D/HH) person. The degree to which one integrates the hearing and Deaf cultures (“acculturation”) is an important factor for the well-being of deaf adolescents. We examined the relationship between acculturation patterns and emotional distress among D/HH (n = 69) compared to hearing (n = 60) adolescents in Israel. We used culturally and linguistically accessible measures. Our findings showed no significant differences in emotional distress between D/HH and their hearing counterparts. Acculturation played an important role predicting emotional distress. Identification with both the Deaf and hearing cultures was associated with reduced somatization. Exposure to discrimination and social support was also associated with emotional distress in predictable ways. Findings are interpreted within the specific context of Israeli society and highlight the importance of using adaptive linguistic and cultural assessment tools with D/HH populations.
Populist Governments and International Law: A Reply to Heike Krieger
Authors: Blokker Paul 
Published: December 2019

Abstract
The article by Heike Krieger, published in this issue, is an important contribution to the debate on populism and the law, not least because of its emphasis on a distinctive populist approach to the law. Krieger’s account lacks however in providing sufficient attention to three dimensions: popular sovereignty, constituent power and a shifting imaginary of the law. The relation of populism with popular sovereignty (and populism as a reaction to unresponsive institutions) is little discussed, and, hence, the explicit democratic claim of populists is downplayed. Constituent power is equally little touched upon, meaning that the populist understanding of the law as an obstacle but equally as a means to institutionalize a different democratic order is overlooked. The most important argument in the paper, which remains however too implicit, is that of a potentially shifting imaginary of the law. Krieger’s argument points in the right direction, but it could be developed further by stressing the essentially and historically contested nature of the progressive international system and its weak spots in terms of legitimacy and accountability.
Why the neglect? Social rights and French Revolutionary historiography
Authors: Walton Charles 
Published: December 2019

Abstract
Despite the rise of ‘human rights’ histories in recent decades, the subset of social rights has been largely neglected. To the degree that social rights—to subsistence, work and education—are acknowledged, they tend to be treated as ‘second-generation rights’—as mid-twentieth-century additions to the corpus of civil and political rights stretching back to the eighteenth century. This article shows that debates over social rights also stretch back to that period. The author discusses why historians of the French Revolution have largely neglected social rights. One reason has to do with post-Cold War conceptions of human rights, which stress their liberal rather than socio-economic content. Another has to do with the recent tendency to subsume the ‘social’ within late eighteenth-century liberal political economy. In their effort to recast revolutionaries as ‘social liberals’—as espousing free markets and social welfare—historians have obscured deep tensions over social rights and the obligation, or ‘duty’, to finance them.
Filial Descent: The African Roots of Postcolonial Literature in Italy
Authors: Lombardi-Diop Cristina 
Published: December 2019

Abstract
The essay concentrates on two seminal postcolonial novels by authors of African descent: Cristina Ubax Ali Farah’s Madre piccola (2007) (Little Mother: A Novel) and Gabriella Ghermandi’s Regina di fiori e di perle (2007) (Queen of Flowers and Pearls). It argues that these works give expression to an African diasporic urban generation that is changing the literary legacy of the Horn of Africa. The co-presence of multiple genres, with orality appearing as a strong influence on their written narrative forms, places these novels within the larger formation of a black African literary tradition. By looking at these two novels from an Africanist perspective, the essay takes into consideration their plurilingual interventions, the use of glossaries and linguistic borrowings, alongside the presence of Somali and Amharic cultural references. It highlights the authorial perspective as a ‘filial descent’ that addresses the complexity of a postcolonial generational shift in contemporary African literature. By placing these works within an African literary tradition and showing their critical de-centring of this tradition, the essay reconfigures a possible space of cultural autonomy for African postcolonial writing, away from the Italocentric space of discourse that has so far dominated its critical reception in Italy.
Outlier-insensitive Bayesian inference for linear inverse problems (OutIBI) with applications to space geodetic data
Authors: Hang Yu , Barbot Sylvain , Dauwels Justin , Wang Teng , Nanjundiah Priyamvada , Qiu Qiang 
Published: December 2019

SUMMARYInverse problems play a central role in data analysis across the fields of science. Many techniques and algorithms provide parameter estimation including the best-fitting model and the parameters statistics. Here, we concern ourselves with the robustness of parameter estimation under constraints, with the focus on assimilation of noisy data with potential outliers, a situation all too familiar in Earth science, particularly in analysis of remote-sensing data. We assume a linear, or linearized, forward model relating the model parameters to multiple data sets with a priori unknown uncertainties that are left to be characterized. This is relevant for global navigation satellite system and synthetic aperture radar data that involve intricate processing for which uncertainty estimation is not available. The model is constrained by additional equalities and inequalities resulting from the physics of the problem, but the weights of equalities are unknown. We formulate the problem from a Bayesian perspective with non-informative priors. The posterior distribution of the model parameters, weights and outliers conditioned on the observations are then inferred via Gibbs sampling. We demonstrate the practical utility of the method based on a set of challenging inverse problems with both synthetic and real space-geodetic data associated with earthquakes and nuclear explosions. We provide the associated computer codes and expect the approach to be of practical interest for a wide range of applications.