bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machining temperature comparative analysis of end mill and novel tool in orbital drilling of CFRP composite
Authors: Kong Linghao , Gao Dong , Lu Yong 
Published: April 2021

Abstract
Applying Carbon fiber-reinforced plastics (CFRPs) instead of traditional materials can improve the structural strength and reduce the weight of the spacecraft. However, the defects and the rejections still impede the wide application of CFRP for the contrasting thermo-mechanical properties of fibers and resin. A lower machining temperature can reduce burrs and delamination effectively. To study the cutting temperature of orbital drilling in CFRP, the processing temperature of the conventional orbital drilling (COD) was compared with the novel orbital drilling and reaming tool (ODR), and a heat transfer model considering the influence of convective heat transfer on cutting temperature was also proposed in this research, which can explain the reason of the novel tool with a lower cutting temperature. On the basis of the analysis of the kinematic mechanisms, a cutting force prediction model for the process of orbital drilling was presented. The three-dimensional, unsteady state, nonhomogeneous partial differential heat transfer equation in polar coordinates was established, and solved with the finite difference approach. The results show that the predictions of models are coincided to the experimental data, and ODR tool can reduce the processing temperature of orbital drilling effectively.
Evaluation Of Sediment Management Strategies For Large Reservoirs
Authors: Rashid Muhammad Usman , Miqdad Haris , Hassan Muhammad Saad ul , Haseeb Abdul 
Published: April 2021

Abstract
Multipurpose large dams play a key role in the development of world by providing water for irrigation, flood control and hydropower. Tarbela is one of the world's largest earth and rock fill dam. Being multipurpose dam, it provides vital role for economic stability and social development of Pakistan. Tarbela Reservoir has lost its significant capacity due to sediment deposition. The objective of the study was to evaluate different options for evacuation of deposited sediments and reducing sediment inflows to Tarbela Reservoir through sediment modeling by HEC-RAS. Sediment flushing from existing power tunnels was evaluated in first option and found not feasible due to the downstream constraints and loss of 7848 MW hydropower from Tarbela and Ghazi Barotha. New sediment bypass tunnels were proposed on right bank of the dam to overcome the constraints in second option. Sediment modeling was performed by HEC-RAS to evaluate each scenario of sediment flushing with different parameters. The sediment balance ratio and long term capacity ratio was also checked for each scenario for technical evaluation and also economic analysis was performed. Most technical viable scenario was flushing for 90 days at reservoir drawdown level of 390 m with discharge of 5000m 3 /s. However, this scenario was not economically feasible as net present value was negative, internal rate of return was 3-4 %, and benefit cost ratio was found less than one. The 3 rd option, with under construction multipurpose Diamer Basha Dam on upstream of Tarbela Reservoir, was also evaluated on HEC-RAS. Results depicted that large amount of sediments were trapped in the upstream reservoir which ultimately reduced significantly the inflow of sediments and delta movement in Tarbela Reservoir. This option is recommended because it will enhance the life of Tarbela Reservoir and it will keep on providing multiple benefits for longer time.
Bifurcation Analysis in Delayed Nicholson&nbsp;Equation With Harvest Term
Authors: Liu Yuying , Wei Junjie 
Published: April 2021

Abstract
In this paper, we investigate a delayed Nicholson equation with delay harvesting term which was proposed in open problems and conjectures formulated by Berezansky et al. (Applied Mathematical Modelling 34 (2010) 1405). The stability switching curves by taking two delays as parameters are obtained via the method introduced by An et al.(J. Differential Equations 266 (2019) 7073). The existence of Hopf singularity on a two-parameter plane is determined by the varying direction of two parameters. Furthermore, the normal form near the Hopf singularity is derived via applying the center manifolds theory and normal forms method of FDEs. Finally, some numerical simulations are carried out to illustrate the theoretical conclusions.
Telecom Churn Prediction Using Seven Machine Learning Experiments integrating Features engineering and Normalization
Authors: Jain Hemlata , Khunteta Ajay , Shrivastav Sumit Private 
Published: April 2021

Abstract
Machine Learning and Deep learning classification has become an important topic in the area of Telecom Churn Prediction. Researchers have come out with very efficient experiments for Churn Prediction and have given a new direction to the telecommunication Industry to save their customers. Companies are eagerly developing the models for predicting churn and putting their efforts to save the potential churners. Therefore, for a better churn prediction model, finding the factors of churn is very important. This study is aiming to find the factors of user’s churn by evaluating their past service usage details. For this purpose, study is taking the advantage of feature importance, feature normalisation, feature correlation and feature extraction. After feature selection and extraction this study performing seven different experiments on the dataset to bring out the best results and compared the techniques. First Experiment includes a hybrid model of Decision tree and Logistic Regression, second experiment include PCA with Logistic Regression and Logit Boost, third experiment using a Deep Learning Technique that is CNN-VAE (Convolutional Neural Network with Variational Autoencoder), Fourth, fifth, sixth and seventh experiments was done on Logistic Regression, Logit Boost, XGBoost and Random Forest respectively. First four experiments are hybrid models and rest are using standalone techniques. The Orange dataset was used in this technique which has 3333 subscriber’s entries and 21 features. On the other hand, these experiments are compared with already existing models that have been developed in literature studies. The performance was evaluated using Accuracy, Precision, Recall rate, F-measure, Confusion Matrix, Marco Average and Weighted Average. This study proved to get better results as compared to old models. Random Forest outperformed in this study by achieving 95% Accuracy and all other experiments also produced very good results. The study states the importance of data mining techniques for a churn prediction model and proposes a very good comparison model where all machine Learning Standalone techniques, Deep Learning Technique and hybrid models with Feature Extraction tasks are being used and compared on the same dataset to evaluate the techniques performance better.
Orange Layered Patinas on Limestone Surface in the Batalha Monastery (Portugal): Characterization and Decay Patterns
Authors: DING YUFAN , Redol Pedro , Angelini Emma , Mirao Jose , Schiavon Nick 
Published: April 2021

Abstract
Samples of orange patinas found on a limestone balustrade and an ornament of the Batalha Monastery have been investigated by X-ray micro-diffractometry (µ-XRD) and Low-Vacuum Scanning Electron Microscopy coupled with Energy Dispersive Spectrometry (LV-SEM + EDS). Aim of the study was to determine the composition of the layered patinas, assess whether they were been intentionally applied or naturally formed, and study their degradation patterns. Preliminary results revealed that the orange patinas on the balustrade and the ornament showed different compositions and appearance, suggesting distinct formation pathways. Orange layers on the ornament which suffers salt decay and delamination nowadays, mainly consisted of gypsum with hematite as a minor component, implying the possibility of an intentional application of a mixture of ochre and lime as tint plaster. Orange patinas on the balustrade show the presence of Ca-oxalates, abundant weddellite and minor whewellite, with minor hematite suggesting the yellowish/orange color to be due to Ca-oxalate patinas imbedding soil dust airborne particles. Such patina was possibly formed naturally either by the chemical attack due to atmospheric air pollutants from traffic exhausts emissions or by bacterial activity. No delamination was observed, abrasion is the major decay phenomenon on the balustrade sample. A comparison was made between this patina and the so called “scialbatura”, a surface yellowish coating often found by conservators on limestone and marble in ancient monuments in the Mediterranean region.
Analysing Challenges to Smart Waste Management for a Sustainable Circular Economy in Developing countries: A fuzzy DEMATEL study
Authors: Yadav Honey , Soni Umang , Kumar Girish 
Published: April 2021

Abstract
To improve the quality of life and achieve sustainability Internet of Things (IoT) plays a significant role. Waste can be converted to high value asset if treated properly with smart solutions. This study aims to develop an exploratory framework in the adoption of smart waste management in developing economies such as India analysing the various deferring parameters. To accomplish this aim the present study consists of two phases: In the first phase barriers in the adoption of IoT for smart waste management were identified after an extensive literature review and discussion with selected experts in this field. In the second phase the quantitative analysis using Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method was performed on the selected barriers. The fuzzy DEMATEL methodology helps in prioritizing the most significant barrier by separating them into cause-effect group. The data were analysed on comparative basis based on two different perception to provide more detailed insight on the problems faced while smart waste management implementation. The results discloses that “Lack of government strict regulatory policies”, “Lack of proper Financial planning” and “Lack of benchmarking processes” are among the most critical causal barriers towards IoT based smart waste management that are hindering the vision of efficient waste management system. Further “Difficulty in implementing innovative technologies” and “Absence of Dynamic Scheduling and Routing” fall under significant potential causal effect category. The most prominent effect barriers are “Lack of awareness among community”, “Lack of source segregation and recycling commitment” and “Lack of service provider’s” which was concluded in results considering the comparison parameters from different perspective. The study also suggest that the effect barriers can be overcome automatically with mitigating the causal barriers in the long run. The comparative details of the study will further help the policy makers, stakeholders and government experts to frame policies and interventions to eradicate the identified barriers towards an efficient and innovative system for waste handling.
Effects of carbonaceous materials and particle size on oral and inhalation bioaccessibility of PAHs and OPEs in airborne particles
Authors: Zeng Yuan , Chen shejun , Fan Yun , Li Qiqi , Guan Yufeng , Mai Bixian 
Published: April 2021

Abstract
Bioavailability of environmental contaminants is attracting considerable scientific attention due to growing awareness of its importance for risk assessment. In this study, potential factors governing bioaccessibility of airborne particles-bound polycyclic aromatic hydrocarbons (PAHs) and organophosphorus esters (OPEs) in stimulated gastrointestinal and respiratory tracts were elucidated. Particle concentrations of PAHs and OPEs at the eight sites were 2.4−32.3 ng/m3 and 1.6−19.9 ng/m3, respectively. In fine particles (with aerodynamic diameter less than 2.5 µm), 4- to 6-ring PAHs were more strongly correlated with organic carbon (OC) than elemental carbon (EC); while 3- and 4-ring PAHs in coarse particles (2.5−10 µm) tended to associate with EC. OPEs mostly showed significant correlations with EC in both fine and coarse particles. OC and EC exerted a significantly restraining effect on the oral and inhalation bioaccessibility of most HOCs in fine particles due to sorption of HOC molecules to these components. Furthermore, the effects varied, which could depend either on the emission sources (for oral bioaccessibility of PAHs) or the physicochemical properties of HOCs (for bioaccessibility of OPEs and inhalation bioaccessibility of PAHs). Linear regression indicated that EC should play a more important role in the inhalation bioaccessibility than the oral bioaccessibility. Particle size of airborne particles is a relatively less significant factor determining the bioaccessibility.
Neuropathy Severity at the Time of Oxaliplatin Treatment Alteration in Patients with Colon Cancer (Alliance A151912)
Authors: Hertz Daniel , Dockter Travis J , Satele Daniel V , Loprinzi Charles L , Le-Rademacher Jennifer G 
Published: April 2021

Abstract
Background: Clinical guidelines recommend altering chemotherapy treatment by decreasing, delaying, or discontinuing dosing in patients who are experiencing chemotherapy-induced peripheral neuropathy. There are few data available on the clinical use of treatment alteration including the severity of CIPN at the time of treatment alteration. Methods: This was a retrospective analysis of patients receiving oxaliplatin on the NCCTG N08CB trial. Neuropathy severity was assessed at each cycle by clinicians and patients. Patients were classified as 1) completed treatment without alteration, 2) dose reduction or delay due to neuropathy, 3) discontinuation due to neuropathy, or discontinuation for other toxicity (4), or another reason (5). Comparisons focused primarily on patients with alteration due to neuropathy (groups 2 and/or 3) compared with patients who completed treatment without alteration (group 1). Results: In 350 participants, 135 (39%) completed treatment without alteration, 70 (20%) had a dose reduction or delay due to neuropathy, and 35 (10%) discontinued early due to neuropathy. Clinician-assessed neuropathy severity was greater in patients at the time of dose reduction or delay compared with severity at the end of treatment in patients without alteration (p<0.0001). Patient-reported neuropathy severity at cycle 4 was worse in patients who had an alteration as compared with patients who completed treatment without alteration (p=0.017). Conclusions: Treatment alterations due to neuropathy are common in patients receiving oxaliplatin for colon cancer and are associated with clinician-assessed neuropathy severity. Rapid increases in patient-reported neuropathy severity indicate a potential need for monitoring and intervention.
Interleukin-35&nbsp;Suppresses Pyroptosis and Protects Neuronal Death in Retinal Ischemia/Reperfusion Injury
Authors: Lin Bingying , Li Yangyang , Jiang Nan , Huang Siyu , Su Wenru , Zhuo Yehong 
Published: April 2021

Abstract
Background: Retina ischemia-reperfusion (I/R) is a pathological process in many eye disorders. Neuroinflammation and cell pyroptosis have been recognized as important in the pathogenesis of tissue damage in retina I/R. Interleukin (IL)-35 is a novel heterodimeric cytokine that exhibits anti-inflammatory activity in virous autoimmune diseases, but its role in retina I/R and the underlying molecular mechanisms remain unexplored. This study investigated the effect of IL-35 on retina I/R and the inhibition of pyroptosis and neuronal death.Methods: A murine retina I/R model was used to explore the neuroprotective effect of IL-35 recombinant protein in vivo. The primary murine microglial cells of pyroptosis and the retinal ganglion cells (RGCs) of oxygen and glucose deprivation/reoxygenation (OGD/R) models were employed to test the anti-pyroptotic and anti-apoptotic effects of IL-35 in vitro.Result: We found that IL-35 decreases retinal damage, RGC death, and inner plexiform layer (IPL) thinning in mice with retinal I/R injury, with significant attenuation of pyroptosis in the retina. The data also demonstrated the anti-pyroptosis action of IL-35 in primary microglia stimulated with lipopolysaccharide (LPS) and adenosine triphosphate (ATP). Furthermore, primary RGC apoptosis induced by OGD/R was directly suppressed by IL-35, and the IL-35-mediated neuroprotection was abrogated when miR-21 was blocked.Conclusion: Our findings identify potential underlying mechanisms of RGC apoptosis and suggest a new therapeutic target, IL-35, which exerts a robust neuroprotective effect against retina I/R.
Black Widow Optimization Algorithm and Similarity Index Based Adaptive Scheduled Partitioning Technique for Reliable Emergency Message Broadcasting in VANET
Authors: Devi M Ramya , Jeya I Jasmine Selvakumari 
Published: April 2021

Abstract
The vehicular ad hoc network (VANET) topology will change the mobility of the nodes and the data delivery will be efficient in the vehicle environment. This technique uses the density, mobility, dissemination in the requirements of emergency message broadcasting. The emergency message is broadcast on the road causes many issues like reliability, latency and scalability. Beacons are used in the VANET to broadcast messages and get the information from neighbours. When more vehicles transmit the messages in equal time lead a frequent broadcast storm the vehicles are faced the message delivery failure. Adaptive Scheduled Partitioning and Broadcasting technique (ASPBT) is used in our paper for message reliability, and the transmission efficiency will adjust the partitions and beacon automatically for reducing retransmissions. The partition size is determined using the density of network transmission of each partition schedule is estimated using the Black Widow Optimization (BWOA). The emergency message gets low delay and redundancy of the message is reducing, ASPBT include the forwarding of novel with the selection of optimal partition. The performance analysis is done with the existing methods for the determination of efficiency, redundancy, collision, and delay. The efficiency of proposed technique as 98% comparing with existing broadcast schemes of VANET.
Dirac Redux - Dirac’s Equation in Physical Spacetime without Internal Degrees of Freedom
Authors: Andoni S. 
Published: April 2021

Abstract
The Dirac equation (DE) is one of the cornerstones of quantum physics. We prove in the present contribution that the notion of internal degrees of freedom of the electron represented by Dirac’s matrices is superfluous. One can write down a coordinate-free manifestly covariant vector equation by direct quantization of the 4-momentum vector with modulus m: Pψ=mψ (no slash!), the spinor ψ taking care of the different vector grades at the two sides of the equation. Electron spin and all the standard DEproperties emerge from this equation. In coordinate representation, the four orthonormal time-space frame vectors Xµ appear instead of Dirac’s Yµ-matrices, the two sets obeying to the same Clifford algebra. The present formalism expands Hestenes’ spacetime algebra (STA) by adding a reflector vector x5 that is defining for the C (particle-antiparticle) symmetry and the CPT symmetry of DE, as well as for left- and right-handed rotors and spinors. In 3D it transforms a parity-odd vector x into a parity-even vector σ=x5x and vice versa. STA augmented by the reflector will be referred to as STAR, which operates on a real vector space of same dimension as the equivalent real dimension of Dirac’s complex 4×4 matrices. There are no matrices in STAR and the complex character springs from the signature and dimension of spacetime-reflection. This appears most clearly by first showing that STAR comprises two isomorphic subspaces, one for generators of polar vectors and boosts and the other for generators of axial vectors and rotors, including Pauli spin vectors. These then help to discuss the symmetries, probability current, transformation properties and nonrelativistic approximation of STAR DE. We prove here that the information from γ-matrices is contained in spacetime-reflection, which makes the matrices redundant. Therefore, it becomes relevant to reexamine those areas of quantum physics that take the γ-matrices and their generalizations as fundamental.
Indigenous knowledge, optimum recipe and storage stability of khurma, a cereal based traditional Nepalese product.
Authors: Katuwal Nirat , Subedi Aashika , Sapkota Sujan , KC Yadav 
Published: April 2021

Abstract
Khurma is a cereal based food indigenous to hilly regions of Nepal. It is a deep fried flour confection prepared by mixing wheat flour, rice flour, semolina, ghee, sugar, spices mixture, milk and water. Despite its popularity, the scientific documentation and researches in khurma is scarce. Moreover, quality of khurma is often subject to variation due to differences in recipe and the data on storage stability is unavailable. Therefore, in this study recipe of the product was optimized using sensory analysis and the optimized product was analysed for physicochemical parameters and storage stability. Proximate analysis showed that optimized khurma had 2.48 ± 0.12%, 36.87 ± 0.34%, 9.51 ± 0.47%, 0.48 ± 0.03%, 0.06 ± 0.01% and 50.60 ± 0.82% of moisture, fat, protein, total ash, crude fiber and carbohydrates respectively. Moreover, product was more stable in laminated packaging material compared to polyethene (PE) package. The results showed that khurma can be served and promoted as an energy dense snack.
Computational Fluid Dynamics Simulation of Airflow and Air Pattern in the Living Room for Reducing Coronavirus Exposure
Authors: Bayatian Majid , Ashrafi Khosro , Amiri Zahra , Jafari Elahe 
Published: April 2021

Abstract
Viruses can be transmitted in indoor environments. Important factors in Indoor Air Quality (IAQ) are air velocity, relative humidity, temperature, and airflow pattern and Computational fluid dynamics (CFD) can use for IAQ assessment. The objective of this study is to CFD simulation in the living room to the prediction of the air pattern and air velocity. A computational fluid dynamic model was applied for airflow pattern and air velocity simulation. For simulation, GAMBIT, FLUENT, and CFD post software were used as preprocessing, processing, and post-processing, respectively. CFD validation was carried out by comparing the computed data with the experimental measurements. The final mesh number was set to 1,416,884 elementary cells and SIMPLEC algorithm was used for pressure-velocity coupling. PERSTO, and QUIK schemes have been used for the pressure terms, and the other variables, respectively. Simulations were carried out in ACH equals 3, 6 and 8 in four lateral walls. The maximum error and root mean square error from the air velocity were 14% and 0.10, respectively. Terminal settling velocity and relaxation time were equal to 0.302 ×10− 2 m/s and 0.0308 ×10− 2 s for 10 µm diameter particles, respectively. The stopping distance was 0.0089m and 0.011m for breathing and talking, respectively. The maximum of mean air velocity is in scenario 4 with ACH = 8 that mean air velocity is equal to 0.31 in 1.1m height, respectively. The results of this study showed that avoiding family gatherings is necessary for exposure control and suitable airflow and pattern can be improving indoor air conditions.