bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design And Development Of An Application For Database Maintenance In Inventory Management System Using Tkinter And Sqlite Platform
Authors: Yuvaraj K , Oorappan G M , Megavarthini K K , Pravin M C , Adharsh R , Ashwath Kumaran M 
Published: December 2020

Abstract
The challenges in classical way of inventory log are human mathematical ability, paper maintenance, untidy process of editing and chances of missing the data of invoice and outward. The proposed idea is to develop an inventory management application using Tkinter and SQLite platform that creates a way towards progressively from traditional applications to a fully connected and customized inventory management system. This application uses password encryption to ensure the data privacy between the administrators and other workers of the industry. The system utilizes the integration of Tkinter and SQLite for the effective Graphical User Interface interfaced with Relational Database Management System. This customized application enables the administrator to add a new employee or remove the existing employee, he can update the stock quantity, and can back up the invoice history. Due to the login feature, the details of the product outward such as who withdrew and when it was withdrawn are automatically stored in the database. This digitization of inventory management system increases flexibility, reliability, smart storage, resource utilization, easy access to product location and warehouse management. It would be one time investment no further investment needed if at all any problem or errors occur in the app by human mishandling. The application saves us a lot of time because it uses SQL in it which is structured language, the data can be retrieved soon without any time delay and the human errors are avoided due to its structured nature.
Automation and performance analysis of tea filter bags packing process using delta configured robot
Authors: Vigneshwaran S , Nagarajan P , Mohamed Ismail A , Yuvaraj K 
Published: December 2020

Abstract
A delta robot is a type of parallel robot that consists of three arms connected to universal joints at the base. Industries take advantage of these robots in packaging and pick and place operations due to its high accuracy and fastness. This three degrees of freedom robot is used in the process that automates the tea filter bags packing process through pick and place operation. Electrostatic gripper has been used as the end effectors. The tea filter bags are allowed to go through the conveyor and this delta configured robot is used for pick and place operation. This robot reduces the time complexity of the laborers and it also helps in increasing productivity by reducing the cost. Thus the tedious process becomes simpler through the delta configuration. Comparative analysis of the performance of robot with manual process is also shown in the results.
Control and Stabilization of Pitch Axis Angle In 3 DOF Titltrotor
Authors: Dhanasekar R. , Kalaiyarasi M. , Arunjayakar S. , Raghunath M. , prabhu S. Raghavendra 
Published: December 2020

Abstract
Tiltrotor system is used in army for security purpose and mission attack. This system is affect due to environment conditions such as wind flow, rain and low atmospheric pressure, the system becomes unbalanced in working conditions. In recent days new control technique called fractional order PID have a conspicuous growth in the field of controller design for controlling the various linear and nonlinear system applications. The fractional order PID controller used in tiltrotor model, improves the system performance compared with other controllers. The proposed work deals with the Pitch axis control of tiltrotor system using FOPID controller and also performance has been compared with PID controller, with different tuning methods. The FOPID controller provide more flexibility in designing a controller than using PID controller due to selection of tuning parameters. FOPID and PID controller has been designed for pitch axis control, the performance characteristics of the system has been compared and analyzed by using MATLAB simulation.
Performance Evaluation of Portable Mist Humidifier
Authors: Mahesh M. , Thangavel P. , Bhuvaneshwaran K. , Boopathi Raja V. , Dinaesh Krishna S. 
Published: December 2020

Abstract
This paper deals with the performance evaluvation of portable mist humidifier, for producing a cooling effect in a specified area. A humidifier is an electrical device that increases the humidity of an environment. So the room temperature got reduced with the help of increasing the humidity. This devise provides a cooling effect at low cost without health hazards. The experimental arrangement made with the components of axial fan, copper tubes, hydraulic pump, nozzles, respectively. The misting nozzles are placed into the holes which are made in the copper tube and the copper tube is fitted over the frame on the axial fan. The hydraulic pump is kept in the water tank to circulate the water to the copper tube. When the water flows through the tube it emits water droplets with the help of misting nozzles. Due to the high-speed axial fan, the emitted water droplets are sprayed into the atmosphere as a mist. When there is a increase in the moisture content there will be decrease in room temperature. Due to this effect the room temperature has been decreased by 12% with the help of humidifier.
Performance analysis on Solar Air Heater with Discrete Arc Shaped Rib Element in Absorber Plate
Authors: Makeshkumar M. , Thangavel P. 
Published: December 2020

Abstract
Solar Air Heater (SAH) absorbs the irradiation and converts it into thermal energy, which is supplied to flowing fluid for the purpose of drying agricultural products, curing of industrial products, space heating applications and so on. An experimental examination has been conducted to assess the thermal performance of SAH having discrete arc shaped rib element in the absorber plate and analyzed against Flat Plate Solar Air Heater (FPSAH). Performance has been assessed by identifying the various parameters like useful heat gain, surface temperatures of collector plate, flow rate of working fluid, temperatures of air at inlet and exit. Investigation has been performed for flow rates of 0.028 kg/s and 0.045 kg/s. The results indicate that the absorber plate with artificial roughness element shows considerable increase in exit air temperature, heat transfer rate and thermal efficiency. Thermal efficiency of about 70 % is obtained for 0.045 kg/s, which is 13.1% more than that of FPSAH.
Dynamic Clustering-Genetic Secure Energy Awareness Routing To Improve the Performance of Energy Efficient In IoT Cloud
Authors: Karthika E , Mohanapriya S 
Published: December 2020

Abstract
The Internet of Things (IoT) is one of the emerging technologies that has attracted the attention of researchers in the field of education and industry. The idea behind the Internet of Things is that things and devices are operated on the Internet to achieve some common goals with humans. It serves as a platform for monitoring the collection process, controlling the cyber-global fire world, and collecting data and analyzing data using IoT sensor nodes. Power saving is important for battery-powered devices. The amount of previous work is small, although it has a large tip capacity, especially in terms of battery life and energy efficiency. This regulates the development of IoT a simple and energy efficient routing scheme for war sensor networks. The nodes require an increased lifespan of intelligently transmitted data communications. To conserve the energy of IoT nodes, the Dynamic Clustering-Genetic Secure Energy Awareness Routing Protocol (DC-GSEARP) utilizes clustering, cluster head selection and energy and efficient path calculation for efficient and real-time routing. To accomplish the efficient cluster head selection, to have used Dynamic Clustering algorithm. The proposed DC-GSEARP protocol achieve an improved that can be used to construct an optimal path for energy efficient data transmission for IoT sensor nodes. DC-GSEARP, which uses the integration of clustering supported by short path resolution to provide energy efficient and advanced routing capabilities for IoT, ensures entering a path with lower power consumption and enhanced QoS measurements. The results of the simulations show that the proposed approach can reduce the power consumption of sensor nodes, data packet losses and extend network life.
On the fabrication and mechanical modelling microscale bistable tensegrity systems
Authors: Vangelatos Z , Farina I , Micheletti A , Singh N , Grigoropoulos C P , Fraternali F 
Published: December 2020

Abstract
We report about the analysis, design, and experimental testing of modular structures composed of bistable units derived from the classic triangular tensegrity prism. Tensegrity structures are pin-connected frameworks, composed by bars and cables, possessing internal mechanisms and self-stress states, and featuring a variety of structural responses depending on their prestress, edge connectivity, and geometry. When a tensegrity system has only one internal mechanism and one self-stress state, as in the triangular prism case, it is possible to associate to it a corresponding bistable unit, by replacing all cables with bars and changing their edge-lengths slightly. After presenting experimental results of compression tests carried out on microscale specimens fabricated through multiphoton lithography, we compare them with the numerical predictions obtained by our computational model.
Mechanics of energy harvesters based on tensegrity solar facades
Authors: Miranda R , Babilio E , Singh N , Villamil D P , Santos F , Fraternali F 
Published: December 2020

Abstract
This work is focused on the computational design of tensegrity shading systems of energy efficient buildings which mitigate air conditioning consumption and optimize the energy performance of the building. It is concerned with the design of active solar façade screens based on lightweight tensegrity units, which are easily integrated with energy harvesting piezoelectric cables. The unit cells of the analyzed screens are controlled by tensioning and releasing selected cables of the structure and are used to direct the shading panels towards the sun. A numerical procedure simulates the dynamics of the analyzed tensegrity façades, by considering the opening and closure motions of the screens, and the vibrations produced by the action of dynamic wind forces. The energy harvesting ability of the proposed façade is numerically estimated.
Formation of Discontinuities in Rectangular Plates as a Result of Residual Stress Relief
Authors: Menshova I V , Kerzhaev A P , Yu G , Zeng X 
Published: December 2020

Abstract
The paper deals with the problem of relieving residual stresses in an elastic domain of rectangular shape with free sides as a result of the formation of a discontinuity of particular shape. First, we construct the solution to the problem of residual stresses in an infinite strip with free sides and with a central transverse cut on which a discontinuity of displacements is known. Then, the solution for a rectangle is added to this solution, with the help of which the boundary conditions at the ends are satisfied. The formulas for the residual stresses and for the corresponding displacements are represented in the form of series in Papkovich-Fadle eigenfunctions. The expansion coefficients (Lagrange coefficients) have the form of simple Fourier integrals.
Lubrication performance analysis of the connecting rod bearing based on AVL EXCITE
Authors: Zhong Ning , Wu Bo , Zhang Le , Xin Qi , Tu Liyue , Li Hulin 
Published: December 2020

Abstract
The lubrication state of connecting rod bearing has influence on the reliability and lifetime. It is necessary to analyze the lubrication state of connecting rod bearing to evaluate and design the lubrication performance. The connecting rod bearing hydrodynamic lubrication simulation model was set up for 9XX diesel engine and journal bearing fatigue test-rig at Glacier Vandervall. The effect of maximum oil film pressure, minimum oil film thickness and maximum asperity contact pressure on the lubrication performance were studied. Then the lubrication states of connecting rod bearings under different working conditions were discussed based on two test machines. The results are of great significance for analyzing the lubrication performance of connecting rod bearings and the reliability of bearings.
Seismic performance and fragility functions of confined masonry old infrastructure with handmade bricks
Authors: Gonzales G H , Aguilar A G , Huaco G , Garber D 
Published: December 2020

AbstractIn several countries, confined masonry structures with handmade bricks were built for common to essential infrastructure. These bricks were made by clay using artisanal ovens; therefore, they have mechanical properties less than seismic codes currently recommend. Many of these buildings are one to three stories and were designed following past design codes or were built without considering any design codes. There is an uncertainty of the strength or ductility for these buildings to resist a severe earthquake event. For this purpose, this study aimed to develop fragility functions as way to estimate and quantify the vulnerability of these structures. This research describes a methodology to find fragility functions based on a nonlinear model with three levels of masonry handmade bricks. Experimental test data was used to validate the proposed model during the calibration process. Incremental dynamic analyses were developed for 11 pairs of seismic records for both orthogonal directions. Fragility functions reported a high probability of collapse for demand levels from a design earthquake to maximum capable earthquake.
Automatic Surface Defect Inspection System Using Convolutional Neural Networks
Authors: Zhu X , Kundu S K , Bangalore Ramaiah N K 
Published: December 2020

Abstract
Surface quality of the piston rod is very important for the durability of the shock absorbers. However, currently in production, it is very difficult to use the available systems to inspect the whole rod surface online, in real time (∼4s), with a high sensitivity and accuracy. To overcome this, in this paper, an online automatic rod inspection system has been developed, which allows to inspect the whole rod surface in 4s, with a sizing accuracy around 75%, and detection accuracy <90%. An integrated software is used for rod rotation control, image capturing, image processing, and decision making. Convolutional Neural Network is used to processing the 360° surface image with a high accuracy, eliminating errors caused by environmental lighting. A new method based on aspect ratio and size information is used for defects classification. Experimental results show that the system is capable of detecting defects as small as 25μm and differentiating nodule, dent, and scratch with a processing time around 4s per rod.
Buckling of micropolar beams by an improved first order deformation theory
Authors: Betancourt K N , Soncco K , Arciniega R 
Published: December 2020

Abstract
In this paper, we present a variational formulation to study the buckling behavior of micropolar beams by using an improved 3D deformation theory. A micropolar continuum applied to beams has been developed using its natural Lagrangian kinematic relations. The Rodriguez rotation measure was used to describe the rotational degrees of freedom. Additionally, a Taylor expansion was performed to linearize the kinematic relations. For the buckling analysis, the Trefftz criterion procedure was applied. A finite element model was derived for the solution of the variational problem using spectral interpolation functions for a higher convergence rate and for avoiding shear locking problems. The results describe the influence of the micropolar parameters and size-dependent behavior. Finally, the model was used to evaluate the buckling loads of simply-supported functionally graded beams considering experimental material parameters.
Comparative genomics of cetartiodactyla: energy metabolism underpins the transition to an aquatic lifestyle
Authors: Derous Davina , Sahu Jagajjit , Douglas Alex , Lusseau David , Wenzel Marius 
Published: December 2020

AbstractForaging disruption caused by human activities is emerging as a key issue in cetacean conservation because it can affect nutrient levels and the amount of energy available to individuals to invest into reproduction. Our ability to predict how anthropogenic stressors affect these ecological processes and ultimately population trajectory depends crucially on our understanding of the complex physiological mechanisms that detect nutrient availability and regulate energy metabolism, foraging behavior and life-history decisions. These physiological mechanisms are likely to differ considerably from terrestrial mammalian model systems. Here, we examine nucleotide substitution rates in cetacean and other artiodactyl genomes to identify signatures of selection in genes associated with nutrient sensing pathways. We also estimated the likely physiological consequences of adaptive amino acid substitutions for pathway functions. Our results highlight that genes involved in the insulin, mTOR and NF-ĸB pathways are subject to significant positive selection in cetaceans compared to terrestrial artiodactyla. These genes may have been positively selected to enable cetaceans to adapt to a glucose-poor diet, to overcome deleterious effects caused by hypoxia during diving (e.g. oxidative stress and inflammation) and to modify fat-depot signaling functions in a manner different to terrestrial mammals. We thus show that adaptation in cetaceans to an aquatic lifestyle significantly affected functions in nutrient sensing pathways. The use of fat stores as a condition index in cetaceans may be confounded by the multiple and critical roles fat has in regulating cetacean metabolism, foraging behavior and diving physiology.
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales
Authors: Pirotta Enrico , Booth Cormac G , Cade David E , Calambokidis John , Costa Daniel P , Fahlbusch James A , Friedlaender Ari S , Goldbogen Jeremy A , Harwood John , Hazen Elliott L , New Leslie , Southall Brandon L 
Published: December 2020

AbstractAssessing the long-term consequences of sub-lethal anthropogenic disturbance on wildlife populations requires integrating data on fine-scale individual behavior and physiology into spatially and temporally broader, population-level inference. A typical behavioral response to disturbance is the cessation of foraging, which can be translated into a common metric of energetic cost. However, this necessitates detailed empirical information on baseline movements, activity budgets, feeding rates and energy intake, as well as the probability of an individual responding to the disturbance-inducing stressor within different exposure contexts. Here, we integrated data from blue whales (Balaenoptera musculus) experimentally exposed to military active sonar signals with fine-scale measurements of baseline behavior over multiple days or weeks obtained from accelerometry loggers, telemetry tracking and prey sampling. Specifically, we developed daily simulations of movement, feeding behavior and exposure to localized sonar events of increasing duration and intensity and predicted the effects of this disturbance source on the daily energy intake of an individual. Activity budgets and movements were highly variable in space and time and among individuals, resulting in large variability in predicted energetic intake and costs. In half of our simulations, an individual’s energy intake was unaffected by the simulated source. However, some individuals lost their entire daily energy intake under brief or weak exposure scenarios. Given this large variation, population-level models will have to assess the consequences of the entire distribution of energetic costs, rather than only consider single summary statistics. The shape of the exposure-response functions also strongly influenced predictions, reinforcing the need for contextually explicit experiments and improved mechanistic understanding of the processes driving behavioral and physiological responses to disturbance. This study presents a robust approach for integrating different types of empirical information to assess the effects of disturbance at spatio-temporal and ecological scales that are relevant to management and conservation.
Innovations and paradigm shifts in atrial fibrillation ablation
Authors: Mulder Bart A , Luermans Justin G L M , Hindricks Gerhard , Blaauw Yuri 
Published: December 2020

Abstract
Treatment of symptomatic atrial fibrillation has seen important changes in the past decades. Advancements have especially been made in the field of non-pharmacological treatment of this disease. Patients in whom a rhythm control strategy is chosen the place of catheter ablation has become more frontline therapy in the past years. The procedure itself has also seen changes in technologies that can be used, either using point-by-point radiofrequency or one of the single-shot techniques. One of the major limitations that remain is that re-do procedures are often necessary due to incomplete pulmonary vein isolation and/or atrial fibrillation being initiated by other mechanisms than pulmonary vein triggers. Therefore, there is further need for developing ablation tools that reproducibly isolate the pulmonary vein transmurally. Furthermore, addressing the underlying conditions before and after catheter ablation has been shown to be of great importance. In this review, we will give an overview of the evolution of catheter ablation, highlight the latest technologies and their future endeavours, and lifestyle modifications are being discussed as part of the catheter ablation strategy.
Epstein–Barr virus infection modulates blood–brain barrier cells and its co-infection with Plasmodium falciparum induces RBC adhesion
Authors: Indari Omkar , Chandramohanadas Rajesh , Jha Hem Chandra 
Published: December 2020

ABSTRACT
Plasmodium falciparum infection-mediated Epstein–Barr virus (EBV) reactivation is well established in malaria-endemic countries. We hypothesize that, during malaria onset, the reactivated EBV can infect human brain microvascular endothelial cells (HBECs). This may cause severe cerebral manifestations. We infected HBECs with EBV in vitro. The subsequent gene expression pattern of EBV, inflammatory and endothelial markers was analysed using qRT-PCR. Further, a wound-healing assay for cells maintaining blood–brain barrier (BBB) integrity was performed to investigate the effect of EBV-infected HBECs secretions. The RBC adhesion assay was conducted to assess RBC attachment onto HBECs during EBV and P. falciparum mono- and co-infection. Our experiments revealed that EBV infection of HBECs significantly elevated several inflammatory (TNFα, CCL2) and endothelial (integrin β3, PECAM, VEGFA, VWF, claudin-5, cx37) markers. The EBV-infected HBECs secretion significantly reduced migration of HBECs, glial and neuronal cells. Additionally, EBV–P. falciparum co-infection significantly (P &lt; 0.05) enhanced RBC adhesion to HBECs compared to mono-infection scenarios. Conclusively, the EBV infection of HBECs led to endothelial activation and modulated the BBB microenvironment. The EBV-P. falciparum co-infection scenario increased RBC adhesion on ECs which is a hallmark of cerebral malaria. Together with malaria, EBV infection can aid in exacerbation of cerebral malaria pathology.