bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of dry sliding wear parameters of Al4Mg system reinforced with high strength alloy particulate (HSAp)
Authors: Reddy Ch. Kishore , Krishna M. Gopi , Rahul  , Ramana V.S.N. Venkata , Vikas K. Sri Ram 
Published: April 2021

Abstract
The dry sliding wear behaviour of Al4Mg binary alloy and Al4Mg reinforced with Al20Cu20Mg composites was examined using pin on disc apparatus. The composites were synthesized by the reinforcement of different weight % (5, 10 and 15) of the high strength alloy particulate (HSAp) in the base binary alloy Al4Mg using stir casting technique followed by hot extrusion. In this way, composites were prepared with metal particulate reinforcement which are termed as metal-metal composites which is a novel idea instead of reinforcement of ceramic particulate. These extrudates of non-reinforced base alloy and composites were characterized to optimise dry sliding wear parameters, wear resistance and coefficient of friction under the load conditions of 0.5, 1 and 1.5 kgf at the sliding velocities is of 100, 120 and 140 metre per second and sliding times of 15, 30 and 45 seconds respectively. The wear parameters were optimised using Grey relational analysis (GRA) and ANOVA techniques and obtained the optimal combination of input parameters.
Six Sigma Approach for Material Handling System for a Tobacco Threshing Plant
Authors: Farokhi MD.Khaja Moinuddin , Chalapathi P V , Somasekhar K.V.L. , Vinitha M. , Srinivas P Naga 
Published: April 2021

Abstract
The prevailing global market which is competitive and fierce demands superior quality and high flexibility of production with shorter lead times. In order to stay competitive in the market, companies need to attain both customer satisfaction and cost reductions in production operations. Material Handling Systems (MHS) is the place to accomplish this goal, since they have direct impact on production. Material handling and its storage are features of all the companies although they are unexplored areas. Significant contribution made in the material handling area will go a long way in reducing the cost of production and improving profitability and rate of return. Therefore, the aim of this paper is to analyze how an in house MHS that could be efficient for the production it serves. With this intention, a case study has been conducted in A.S.KRISHNA&COMPANY PVT.LTD. Guntur. During the information is gathered through various sources, interviews, observations and measurements. Gathered data is further evaluated according to theoretical framework. By analyzing the findings from literature review and study, first problems and challenges related to present MHS’s are identified. Thereafter, possible features that the system should possess are drawn out and a design is built out of selected features with a compatible plant layout.
Multi-objective optimization using TOPSIS in turning of Al 6351 alloy
Authors: Rao S R , Jeelani S A K , Swamulu V 
Published: April 2021

Abstract
Surface finish and machining rate are the important machining criteria in turning process and plays a vital role in manufacturing environment. This work focused on the parametric optimization of cutting velocity, feed and depth of cut in turning of AA 6351 alloy with carbide tool for maximization of machining rate and minimization of surface roughness simultaneously using technique for order Preference by similarity to ideal solution (TOPSIS) method. Contribution of every machining parameter on multi objectives is spotted by employing analysis of variance (ANOVA). Finally results are validated with a confirmation experiment. Significant improvement within the responses is observed using the TOPSIS method.
Multi Response optimization of drilling parameters in Glass Fiber Reinforced Thermoplastic composites
Authors: Srinivasan T , Arunkumar R , Meghanathan S , Ramu P 
Published: April 2021

Abstract
Optimization of drilling parameters in Glass Fiber Reinforced Thermoplastic composites (GFRTP) has been analyzed using grey relational analysis in this research. The goal of this thesis was to investigate the effect of drilling parameters on composites of Glass Fiber Reinforced Thermoplastic composites (GFRTP) using hand layup method. The circularity and surface roughness are diminished. In drilling, tests were carried out on Glass Fiber Reinforced Thermoplastic composites with HSS drill bits of 6 mm, 7 mm and 8 mm diameter used in dry conditions using the Taguchi L9 orthogonal array process. ANOVA analysed the effecton output parameters such as surface roughness and circularity of multiple drilling input parameters such as cutting speed, feed, and cutting depth. For finding the best machining state, Grey relational analysis equations were used. For the drilling of hybrid Glass Fiber Reinforced Thermoplastic composites, the most critical parameter, namely the cutting speed, was found to have affected the thrust power, circularity and surface roughness.
Mechanical Properties of Partial Replacement of Cement with Sugarcane Baggase Ash
Authors: Teja Ch Ravi , Nipun G , Monica A 
Published: April 2021

Abstract
Current study focuses on mechanical properties of Sugarcane Baggase Ash (ScBA) as a cementetious material and as pore filling material in concrete. With depleting natural resources these industrial waste materials not only helps as replacement material but also provides in numerous alternate benefits such as protecting environment, land fill compounds, saving energy etc. Difficulty of disposing of ScBA is already an environmental hazard. ScBA imparts high strength in early replacements and also reduces concrete permeability, also presence of silica in chemical composition imparts high chloride resistance and corrosion resistance. Mechanical properties were studied for 5%, 10%, 15% and 20% replacement with cement, compressive strength, split tensile and workability were studied and optimum was found to be at 10% replacement. Also durability studies were performed by conducting Rapid Chloride Penetration Test (RCPT) and durability is found to be higher than conventional concrete.
Comparative Study on Asphalt Mixture with Nano Materials and Polymer
Authors: Bobbili Akhila , Kollipara Sai Krishna , Mallikarjuna V. , Narra Malathi 
Published: April 2021

Abstract
Pavement materials are crucial factors affecting pavement durability. Now-a-days, there is dire necessity for roads which are more stable and stronger. Due to weathering conditions and heavy traffic, the pavement surfaces are getting deteriorated by rutting, pot holes etc. Among them asphalt is the most sustainable pavement material for construction pavements and can be used for many applications including highways, airport runways, parking lots and drive ways. In order to provide effective durability than that of asphalt, in its original form it has been modified using Nano-materials known as modified asphalt. In this paper we are gone deal with the advances in Nano-materials in hot mix asphalt and also addition of recronfibre and the comparison was made. With the addition of this Recronfibre, there is an improvement in the properties of bitumen like increase in stability value and decrease in the flow value, % of air voids etc. Recronfibre is an artificial material obtained from the polyester and which is also used as a secondary reinforcement for attaining tensile strength. It helps to resist the cracks obtained by the improper laying of pavement surface and heavy loaded vehicles. But whereas, the clay Nano-particles are the primary materials applying in asphalt construction adding Nano-particles like Nano clay, Nano silica and nanotubes in asphalts normally increase the viscosity of asphalt binders and improves the rutting and fatigue resistance of asphalt mixtures. From this the performance of asphalt when treated with Nano-particles and its sustainability compared to that of other pavement materials is examined and studied.
Effect of Epoxy Resin on CBR Improvement of Soft Clayey Subgrade Mixed with Coconut Coir Fibres
Authors: Yenigalla Raja Veerendra , Slaney G.V. 
Published: April 2021

Abstract
Road infrastructure is a key factor for the development of an economy. For construction of road pavements, good sub grade soil is a major feature which influences the design, construction and durability of the pavement. Pavements built on soft subgrade soils experience faster degradation due to the low strength and high compressibility of soft soil. Replacement of soft soil with good soil is not sustainable, since it is expensive and also impacts the environment. Stabilization of soft soil is a sustainable alternative which can be used to improve the properties of soft soil in-situ. The use of various additives can improve the properties of soft soils. In this study, the effect of using coconut coir in combination with polymeric resin on the improvement of properties of soft soil is studied. Coconut coir is a waste material which can be used as bio-fibers, but since they are decomposable, are used in combination with polymeric resin. The effect of random percentages of coconut coir along with polymeric resin on the compaction and penetration behaviour of soil is presented.
A Case Study on Evaluation And Design Of on-Street Parking In Narasaraopet Town in Andhra Pradesh
Authors: Suresh G Leela , Prasad R Ratna , Rao T Venkateswara 
Published: April 2021

Abstract
One of the most significant transport issues has been the lack of parking policies. Parking problem in the central business districts and major cities across the globe is trending. When we look at Narasaraopet, market growth and training contribute to a rise in transport facilities and thus parking problems. Lack of off-road space and the propensity to park vehicles near the destination contributes to high demands for parking. Further reasons for increased demand are car ownership and low efficiency of the transit system. These factors reduce the main wagon route width, reduce the flow speed, boost crash rates and generate excessive traffic congestion. There is therefore a need to provide parking on the lane. So by means of in-out or sampling of a fixed time or license plate scheme, we have to assess the current on-street parking conditions in Narasaraopet and see whether it’s appropriate or not. If they’re not enough, we need to prepare Narasaraopet on-street parking conditions. In this research, proposed techniques should be implemented by the transportation department from an effective point ofviewof transportation system.
Blast Resistance of G+10 Commercial Building With and Without Shear Wall Shape Comparison
Authors: Pendem Harish , Chandana Sukesh 
Published: April 2021

Abstract
The effect of blast load on the structure was an essential aspect to be taken into account during the design process even though such kind of attacks are very scare in nature, blast effect must be consider while designing a building just like wind, seismic load and shear wall with and without shear wall load is be measured in this project mainly discuss about the shape comparison of the G+10 commercial building and that be with shear wall and without shear wall. when the blast load is applied to the structure then how much of deflection of the structure is appeared with and without shear wall shape comparison of the building so that we find the deflection of the structure by recording the values on the graph and so that how much of deflection is occurs and then that structure is safe with shear wall are not. applying loads on the each section of the building like beams and columns so that may get the how much of deformation the structure is appeared so may that the structure is safe without shear wall. mainly in this we find the displacement, acceleration, max displacement and max drift by taking that values and finding the deflection of the structure and that was the exact values of the deformed shape will be given. when subjected to blast load using ETABS software with prominence given to different standoff distances the blast load and incorporating various charge weight of TNT according to IS code 4991.
A Study on Physico-Chemical analysis of Ground Water and Heavy Metal Analysis of Leachate in Kodungaiyur Landfill Site, Chennai
Authors: Babu A. Harinadha , Swamy N.Kumara , Krishnaiah S. , Senthil M.S. 
Published: April 2021

Abstract
The Leachate heavy metal samples were analysed for its Physico-Chemical and Heavy metal characteristics to assess a pollution level in soil condition of kodungaiyur dumping yard. Water quality analyses were carried out for its suitability of drinking water condition and compare the result with WHO and BIS standards. Investigation on the accumulation heavy metals like Fe, Pb, Zn, Cu, Cd and Cr in leachate as per APHA methods are carried out. In leachate, the order was Pb>Zn>Cu>Cr>Cd.
Successful use of early, repeat fecal microbiota transplantation for initial treatment of severe, refractory Clostridioides difficile colitis
Authors: Cappetto Catherine M 
Published: April 2021

Abstract

Purpose
There is a paucity of literature surrounding the use of early fecal microbiota transplantation (FMT) for patients presenting with an initial episode of severe, refractory Clostridioides difficile infection (CDI). Information on optimal antibiotic dosing and therapy duration surrounding FMT during an acute, initial episode of CDI is also limited. Described here is a case of successful treatment of CDI after 4 FMTs during an acute, initial episode of severe, refractory Clostridioides difficile colitis.

Summary
A 69-year-old community-dwelling, Caucasian male presented after 48 hours of vomiting and diarrhea. A stool sample was collected and resulted positive for Clostridioides difficile by both polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). The patient was treated with several days of oral and rectal vancomycin therapy in addition to intravenous metronidazole, but those treatments failed. His clinical and nutrition status deteriorated over the course of several days until salvage therapy was ordered, with administration of 1 inpatient nasogastric FMT and 1 inpatient colonoscopic FMT followed by outpatient colonoscopic FMTs on 2 consecutive days within 2 weeks of hospital discharge.

Conclusion
This case suggests a role for early, repeat FMT during an initial presentation of a severe Clostridioides difficile colitis episode refractory to pharmacologic antimicrobial therapy. It also adds to emerging literature regarding the timing of antibiotic cessation surrounding FMT.
Opportunities for improving opioid disposal practices in the Veterans Health Administration
Authors: Giannitrapani Karleen F , Brown-Johnson Cati , McCaa Matthew , Mckelvey Jeremiah , Glassman Peter , Holliday Jesse , Sandbrink Friedhelm , Lorenz Karl A 
Published: April 2021

AbstractPurposeThe potentially vast supply of unused opioids in Americans’ homes has long been a public health concern. We conducted a needs assessment of how Veterans Affairs (VA) facilities address and manage disposal of unused opioid medications to identify opportunities for improvement.MethodsWe used rapid qualitative content analysis methods with team consensus to synthesize findings. Data were collected in 2 waves: (1) semistructured interviews with 19 providers in October 2019 and (2) structured questions to 21 providers in March to April of 2020 addressing how coronavirus disease 2019 (COVID-19) changed disposal priorities.ResultsWhile many diverse strategies have been tried in the VA, we found limited standardization of advice on opioid disposal and practices nationally. Providers offered the following recommendations: target specific patient scenarios for enhanced disposal efforts, emphasize mail-back envelopes, keep recommendations to providers and patients consistent and reinforce existing guidance, explore virtual modalities to monitor disposal activity, prioritize access to viable disposal strategies, and transition from pull to push communication. These themes were identified in the fall of 2019 and remained salient in the context of the COVID-19 pandemic.ConclusionA centralized VA national approach could include proactive communication with patients and providers, interventions tailored to specific settings and populations, and facilitated access to disposal options. All of the above strategies are feasible in the context of an extended period of social distancing.
Knowledge bases and software support for variant interpretation in precision oncology
Authors: Borchert Florian , Mock Andreas , Tomczak Aurelie , Hügel Jonas , Alkarkoukly Samer , Knurr Alexander , Volckmar Anna-Lena , Stenzinger Albrecht , Schirmacher Peter , Debus Jürgen , Jäger Dirk , Longerich Thomas , Fröhling Stefan , Eils Roland , Bougatf Nina , Sax Ulrich , Schapranow Matthieu-P 
Published: April 2021

AbstractPrecision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology departments worldwide, creating the urgent need for scalable cancer variant annotation and molecularly informed treatment recommendations. A wealth of mainly academia-driven knowledge bases calls for software tools supporting the multi-step diagnostic process. We derive a comprehensive list of knowledge bases relevant for variant interpretation by a review of existing literature followed by a survey among medical experts from university hospitals in Germany. In addition, we review cancer variant interpretation tools, which integrate multiple knowledge bases. We categorize the knowledge bases along the diagnostic process in precision oncology and analyze programmatic access options as well as the integration of knowledge bases into software tools. The most commonly used knowledge bases provide good programmatic access options and have been integrated into a range of software tools. For the wider set of knowledge bases, access options vary across different parts of the diagnostic process. Programmatic access is limited for information regarding clinical classifications of variants and for therapy recommendations. The main issue for databases used for biological classification of pathogenic variants and pathway context information is the lack of standardized interfaces. There is no single cancer variant interpretation tool that integrates all identified knowledge bases. Specialized tools are available and need to be further developed for different steps in the diagnostic process.
NSL2CD: identifying potential circRNA–disease associations based on network embedding and subspace learning
Authors: Xiao Qiu , Fu Yu , Yang Yide , Dai Jianhua , Luo Jiawei 
Published: April 2021

AbstractMany studies have evidenced that circular RNAs (circRNAs) are important regulators in various pathological processes and play vital roles in many human diseases, which could serve as promising biomarkers for disease diagnosis, treatment and prognosis. However, the functions of most of circRNAs remain to be unraveled, and it is time-consuming and costly to uncover those relationships between circRNAs and diseases by conventional experimental methods. Thus, identifying candidate circRNAs for human diseases offers new opportunities to understand the functional properties of circRNAs and the pathogenesis of diseases. In this study, we propose a novel network embedding-based adaptive subspace learning method (NSL2CD) for predicting potential circRNA–disease associations and discovering those disease-related circRNA candidates. The proposed method first calculates disease similarities and circRNA similarities by fully utilizing different data sources and learns low-dimensional node representations with network embedding methods. Then, we adopt an adaptive subspace learning model to discover potential associations between circRNAs and diseases. Meanwhile, an integrated weighted graph regularization term is imposed to preserve local geometric structures of data spaces, and L1,2-norm constraint is also incorporated into the model to realize the smoothness and sparsity of projection matrices. The experiment results show that NSL2CD achieves comparable performance under different evaluation metrics, and case studies further confirm its ability to discover potential candidate circRNAs for human diseases.
Identification of multiple RNAs using feature fusion
Authors: Singh Dalwinder , Madhawan Akansha , Roy Joy 
Published: April 2021

AbstractDetection of novel transcripts with deep sequencing has increased the demand for computational algorithms as their identification and validation using in vivo techniques is time-consuming, costly and unreliable. Most of these discovered transcripts belong to non-coding RNAs, a large group known for their diverse functional roles but lacks the common taxonomy. Thus, upon the identification of the absence of coding potential in them, it is crucial to recognize their prime functional category. To address this heterogeneity issue, we divide the ncRNAs into three classes and present RNA classifier (RNAC) that categorizes the RNAs into coding, housekeeping, small non-coding and long non-coding classes. RNAC utilizes the alignment-based genomic descriptors to extract statistical, local binary patterns and histogram features and fuse them to construct the classification models with extreme gradient boosting. The experiments are performed on four species, and the performance is assessed on multiclass and conventional binary classification (coding versus no-coding) problems. The proposed approach achieved &gt;93% accuracy on both classification problems and also outperformed other well-known existing methods in coding potential prediction. This validates the usefulness of feature fusion for improved performance on both types of classification problems. Hence, RNAC is a valuable tool for the accurate identification of multiple RNAs .
Countertransference Narratives of a Social Worker in Supervision
Authors: Otava Ladislav 
Published: April 2021

AbstractThis work focuses on the interactions of a social worker with clients who are affected by the worker’s unresolved problems. Deductive qualitative analysis was used in monitored supervision sessions, which enabled a case study to be made of the structural model of the worker’s narratives of countertransference. Sources in the area of family relations are described, as are triggers in the social worker’s actions and the actions of colleagues. Manifestations appear in relationships with clients. Consequences are captured as obstacles as well as opportunities for helping clients. Managing is described in the form of sharing with other persons, self-education, supervision and psychotherapy. Speaking is identified as a universal tool for managing the feelings and behaviours, which accompany the interaction between social worker and client. The process of free association, experimental interpretation and subsequent discussion about them in supervision constitute an appropriate procedure in this regard. The characteristics of countertransference in this process appear gradually, drawn in cycles from deeper in the social worker’s consciousness.