Study of ion mobility characteristics and morphology of some electrochemically-synthesised polypyrroles

This paper reports the diffusion coefficients of various dopant counter-anions into electrosynthesised polypyrrole films, the cyclic voltammetry behaviour of the doped polymers and the effects of the electrolyte on the morphology of the polymer. The diffusion properties of electrochemically-prepared poly(N-dodecylpyrrole) and polypyrrole films were investigated in electrochemical cells containing lithium perchlorate, tetramethylammonium chloride and sodium dodecylbenzenesulfonate, and the effects of the size of the ions on their diffusion coefficients are discussed

Development and testing of the Mars Rover Mobility Platform for educational and research purposes

Mars exploration has a long history, but there were only four roving vehicles which successfully operated on its surface (e.g. [1]). Main reasons for this are the mission cost and complexity. This paper describes a Mars Rover Mobility Platform for educational and research purposes developed at Kingston University of London. This platform utilises off-the-shelf components to minimise the cost of the project, and is designed to allow for future improvement. The rover is targeted to meet university research and educational objectives. This paper describes the design, manufacturing and control system of a robotic vehicle. The emphasis of this paper is the implementation of the control system. The investigation in locomotive sub-system and its traction performance was done [4]. The rover was manufactured in-house and its manufacturing method and its main components will be described. The control of the vehicle was done using python programming language and implemented on Raspberry Pi 2B+ controller. The communication was done via Wi-Fi using socket connection stream to identify the TCP/IP of the server and connect to the client. Finally, the testing operation was conducted by producing a qualitative comparison between the actual performance and the specified requirements. The rover design reported here achieved climbing capability for the slopes of 23o, the turning radius of zero degrees. The final mass of the rover is 18 kg including allowance for the payload. The rover is able to reach a velocity of 5 cm/s

A Review and an Approach of Flying Electric Generators as Alternate Source of Energy

This paper presents a review of flying electric generators which are used to harness kinetic energy in powerful, persistent high altitude winds. It has been found that FEGs could give individual output of up to 40MW. It is a lighter wind turbine that rotates about a horizontal axis in response to wind, generating electrical energy. This electrical energy is transferred down for immediate use, or to a set of batteries for later use, or to the power grid. This paper presents the critical analysis of existing literature which is relevant to flying electric generator Though, the literature consists of a lot many research contributions, but, here, we have analyzed some important research and review papers. The existing approaches are categorized based on the basic concepts involved in the mechanisms. The emphasis is on the concepts used by the concerned authors, the database used for experimentations and the performance evaluation parameters. Their claims are also highlighted. Finally, the findings are summarized related to the studied and analyzed research papers. Paper concludes with the motivation behind identified problem

Automatic Overhead Water Tank Cleaning System: A Review and an Approach

Aim of this paper is to develop a mechanical system for cleaning domestic cylindrical water tank. The mechanical system includes two main mechanisms which are rack and pinion gear mechanism and reciprocating four bar linkage mechanism. The rack and pinion arrangement is used to move whole mechanical system up and down for cleaning the cylindrical tank. The rack is fixed on the motor and the four-bar mechanism is attached to the motor shaft. PVC brushes are attached to the ends of the four-bar linkage. Four bar linkage is made in such a way that it can be adjusted according to inside diameter of the tank. When the motor is started the linkage rotates and with the help of brushes, cleaning of wall and base of tank takes place. The purpose of this project is to reduce the human efforts and to avoid the chemical influence on health of person entering the tank for cleaning. In this modern world, cleaning of overhead tanks manually is a tedious job. To overcome this we have aimed at tackling the disadvantages of cleaning overhead tanks, so an automatic system overhead tank cleaning is designed to provide high safety, high efficiency, less time for cleaning and to avoid environmental pollution problems. Purpose of this paper is to clean domestic cylindrical water tank with the help of mechatronics system. The mechatronics system consists of a grooved gear rod attached to two arms with brushes at ends. The two arms are connected to the gear rod by nut. By rotating the gear rod, the up and down motion of the two arms is achieved. The gear rod is rotated with the help of a D.C gear motor. The main grooved shaft is powered by an A.C motor. The motor and the shaft are connected by a rubber belt. The clockwise rotation of the main shaft will make the arms move and vice versa. The whole operation is controlled by a circuit consisting of relay switches, buttons, and PIC microcontroller. The number of times for the operation to repeat can be fed into the circuit. The achievement of this project is reduction of cost and manual labour because there will be harmful diseases for the person who will go inside and it will affect the health as well as the other human being who consumes water from the tank

Transforming Patient Outcomes: Cutting-Edge Applications of AI and ML in Predictive Healthcare

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare has emerged as a transformative force, offering unprecedented potential to enhance patient outcomes. This paper explores the cutting-edge applications of AI and ML in predictive healthcare, focusing on how these technologies are revolutionizing early detection, personalized treatment, and patient management. Through advanced algorithms and data-driven insights, AI and ML are enabling healthcare providers to predict disease progression, optimize therapeutic interventions, and improve patient monitoring in real-time. Key applications discussed include predictive modeling for chronic disease management, AI-powered diagnostic tools, and the use of machine learning in precision medicine. The paper also addresses the challenges associated with these technologies, including data privacy concerns, algorithmic bias, and the need for robust validation. By examining current case studies and future trends, this work aims to highlight the transformative impact of AI and ML on patient care, ultimately driving a shift toward more proactive, tailored, and efficient healthcare systems

Smart Medicine: The Role of Artificial Intelligence and Machine Learning in Next-Generation Healthcare Innovation

The paper focuses on big data and healthcare pharmaceuticals, which pose both great promise and challenge as they can contribute to well-being and deliver innovation and knowledge to next-generation healthcare products. This paper provides an overview of the benefits that machine learning and big data technology contribute to healthcare systems. Realities such as patient and healthcare professional demands, the number of diseases, insufficient drugs, regulations, legal and ethical guideline restrictions, modus operandi, and technology development take place in the healthcare sector. In addition, big data opportunities and challenges for healthcare companies, research, and healthcare infrastructure are discussed. Finally, a vision of health innovation through personalized medicines as well as smart medicine is presented as a step closer to patients through regulatory, legal, and ethical guidelines, applications, and opportunities that need to be regulated and resolved

Reliability based robust design optimization based on sensitivity and elasticity factors analysis

In this paper, a Reliability Based Robust Design Optimization (RBRDO) based on sensitivity and elasticity factors analysis is presented. In the first step, a reliability assessment is performed using the First-and Second Order Reliability Method (FORM)/ (SORM), and Monte Carlo Simulation. Furthermore, FORM method is used for reliability elasticity factors assessment, which can be carried out to determine the most influential parameters, these factors can be help to reduce the size of design variables vector in RBRDO process. The main objective of the RBRDO is to improve both reliability and design of a cylindrical gear pair under uncertainties. This approach is achieved by integration of two objectives which minimize the variance and mean values of performance function. To solve this problem a decoupled approach of Sequential Optimization and Reliability Assessment (SORA) method is implemented. The results obtained shown that a desired reliability with a robust design is progressively achieved

KH2PO4 improves cellulase production of Irpex lacteus and Pycnoporus sanguineus

The optimization of cellulase production by Irpex lacteus and Pycnoporus sanguineus was investigated. Fractional factorial design was conducted to determine significant variables and interactions. Response surface methodology was applied through Box-Behnken design to determine the optimum level of each factor on cellulase production. The optimal conditions of culture media were (g/L): for I. lacteus CaCl2.2(H2O) 0.3, MgSO4.7(H2O) 0.3 and KH2PO4 3, while for P. sanguineus was CaCl2.2(H2O) 0.1, MgSO4.7(H2O) 0.2 and KH2PO4 9. This optimized medium improved cellulase production, especially β-glucosidase activity values for I. lacteus. KH2PO4 was found in this work to be a useful mineral compound for cellulolytic production.Fil: Rodríguez, María Daniela. Universidad Nacional de Misiones. Facultad de Ciencias Exactas Químicas y Naturales. Departamento de Bioquímica Clínica. Laboratorio de Biotecnología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Alonso Paiva, Iván Mathias. Universidad Nacional de Misiones. Facultad de Ciencias Exactas Químicas y Naturales. Departamento de Bioquímica Clínica. Laboratorio de Biotecnología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; ArgentinaFil: Castrillo, María Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Exactas Químicas y Naturales. Departamento de Bioquímica Clínica. Laboratorio de Biotecnología Molecular; ArgentinaFil: Zapata, Pedro Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Exactas Químicas y Naturales. Departamento de Bioquímica Clínica. Laboratorio de Biotecnología Molecular; ArgentinaFil: Villalba, Laura Lidia. Universidad Nacional de Misiones. Facultad de Ciencias Exactas Químicas y Naturales. Departamento de Bioquímica Clínica. Laboratorio de Biotecnología Molecular; Argentin

Bradford’s Law Applicability to the Bacterial Blight Research: A Bibliometric Study

The present study test Bradford’s Law of scattering for the literature related to ‘Bacterial Blight’ research for the period 1989- 2021 as reflected in the Web of Science Core Collection database (Science Citation Index expanded). A total of 4748 articles related to Bacterial Blight research published and are scattered in 643 journals during the study period are retrieved. It was observed that the Phytopathology ranks first with total 5.22% (248) publications share, followed By Plant Disease ranks 2nd with 4.82% (229) publications, Molecular Plant-Microbe Interactions ranks 3rd with 2.49% (118) publications