bluuebunny/crossref_metadata_2025 huggingface dataset:
In Silico and Pharmacokinetic Activity of Bioactive Components from Annona muricata Leaves Against Breast Cancer
Authors:   Research Scholar, Department of Biotechnology, Srimad Andavan Arts and Science College, (Autonomous), Affiliated to Bharathidasan University, Thiruvanaikovil, Tiruchirappalli, TamilNadu, India, Priya R Hari , Vasan P Thirumalai
Published: April 2024

Objectives: To identify the potential inhibitors isolated from Annona muricata leaves against the epidermal growth factor of tyrosine kinase receptor, a crucial factor involved in the development of breast cancer. Methods: In this study, the ethanolic extract of Annona muricata leaves was studied by GC-MS analysis. The functional compounds derived from the GC-MS spectrum were docked with a target molecule, the Epidermal Growth Factor of Tyrosine Kinase Receptor [PDB Id: 1M17], for breast cancer using Auto dock vina. The Bioactivities of compounds against the key role enzymes like GPCR ligand, nuclear, and enzyme inhibitor in Breast Cancer was analyzed using Molinspiration. The pharmacokinetic and pharmacodynamic attributes of the chemical compounds were studied by the Swiss ADME tool. Findings: The outcomes from Molecular docking proved that the bioactive compounds such as 9,19-Cyclolanost-24-en-3-ol, (3.beta.), Octadec - 9 - enoic acid, Cycloeucalenol, and Phytol could act as potentially active inhibitors against the Epidermal Growth Factor of Tyrosine Kinase Receptor in Breast Cancer. Novelty: The inhibitory effect of the bioactive components from the ethanolic extract of Annona muricata leaves against the Epidermal Growth Factor of Tyrosine Kinase Receptor through the in silico approach has not been explored. This research work will be the first to attempt the in silico mode to determine the potential inhibitors of the Epidermal Growth Factor of Tyrosine Kinase Receptor and successfully identified four bioactive compounds that down-regulate the expression of EGFR and control the proliferation of breast cancer cells. Keywords: Drug Development, Breast Cancer, Inhibitor, Pharmacokinetics, Pharmacodynamics, Auto Docking, Bioactive Compounds
Flow Characteristics of Casson Nanofluid Over a Moving Wedge
Authors:   Assistant Professor, Department of Mathematics and Applied Mathematics, Science College, Nanded, 431606, Maharashtra, India, Sutkar Prashant
Published: April 2024

Objectives: Analysis of Cassion nanofluid over a wedge is carried out for magnetohydrodynamics (MHD), wedge parameter, thermal radiation parameter, non-uniform heat source or sink and suction/injection parameter. Method: With the help of similarity transformations, the governing partial differential equations corresponding to the momentum and heat transfer are reduced to a set of non-linear ordinary differential equations. Numerical solutions of these equations are obtained. Findings: The influence of relevant parameters on non-dimensional velocity and temperature profiles are depicted graphically and in table form for two flow cases namely for nanofluid and for regular fluid. Novelty: It is experienced that with an escalation of magnetic field parameter, the flow is accelerated. Velocity profile shows growth with enhanced wedge parameter. Nusselt number and Skin friction parameters are discussed with the assistance of the table for base fluid and nanofluid. Keywords: Nanofluid, Suction, Injection, MHD, Casson fluid, Wedge
Flood Risk Assessment for an Irrigation Project in Odissa, India
Authors:   Irrigation, Industrial and Infrastructure SBG, WET IC, L&T Construction, Chennai, TamilNadu, India, Kumar V Rajesh , Guganesh S , Babu D Hussain , Kumaresan P
Published: April 2024

Objectives: Flood risk assessment is a fundamental aspect of disaster management, particularly in regions heavily reliant on irrigation infrastructure for agriculture. This study employs advanced hydrological and hydraulic modeling techniques to evaluate flood risk for the Lower Suktel region in Odisha, India. Methods: The methodology integrates Intensity-Duration-Frequency (IDF) curves, Isopluvial maps, and the Hydrologic Engineering Center-River Analysis System (HEC-RAS) to comprehensively analyze flood risk and its implications. Findings: IDF curves further reveal that the design rainfall intensity for a one-hour duration with a 100-year return period is 152 mm/h, aiding in characterizing rainfall intensity for specific return periods. Model simulation identifies the pump house's susceptibility to flooding, with maximum flood depths ranging from 0 to 2 meters. These findings underscore the significance of employing advanced modeling techniques and Isopluvial maps for precise flood risk assessment. Novelty: The novelty of this paper lies in its pioneering effort to introduce a comprehensive flood risk assessment in an area where it has not been previously conducted. The integration of advanced modeling techniques and spatial analysis tools contributes to the novelty of the research, making it a valuable and innovative contribution to the field of flood risk management. Understanding extreme rainfall events, hydraulic behavior, and potential flood depths is imperative for developing effective flood mitigation strategies. Keywords: Flood risk assessment, Irrigation infrastructure, IDF curves, Hydrological modeling, Hydraulic modeling, GIS
Evaluation of the Performance of the ATESTA Forced Convection Dryer when Drying Pineapples
Authors:   Department of Rural Engineering and Agricultural Machinery, Research Team on Agricultural Mechanization and Process Engineering [ERMAP/UL], Graduate School of Agronomy, University of Lomé [ESA/UL], Togo, Soulama Yamako Soungalo , Bationo Frédéric , Tapsoba Fidèle Wend-Bénédo
Published: April 2024

Objective: Evaluating the performance of the ATESTA [Solar Energy and Appropriate Technology Workshop] forced convection dryer, developed at the Albert Schweitzer Ecological Center of Burkina [CEAS Burkina], on the drying of pineapple slices in Togo. Method: For this purpose, two ATESTA dryers were setup in a company in Lomé, Togo, one operating in forced convection and the other, the witness, in natural convection mode. Drying tests of pineapple slices were carried out with these two dryers. Data were collected on water loss, organoleptic parameters and energy consumption during the drying process Findings: The results showed that the water loss rate increased by 11.4% as well as the first choice dry matter content by 36% and an energy saving of 21% percent of natural convection to forced convection. This performance of the ATESTA forced convection dryer increases the economic profit of USD [United States Dollar] 2.68/kg or USD 45.52/drying cycle and USD 2678.40/t of dried pineapples. The results of microbiological analyses revealed that the total flora [1.2.102 CFU/g] [Colony-Forming Unit per gram] yeast and mold [6.4.101 CFU/g] content of pineapple slices dried by the ATESTA forced convection dryer were in line with the limit values of the Directive 2000/13/EC [European Parliament and the Council]. Novelty: Performance tests on the forced convection dryer have made a more efficient dryer available to pineapple processors. Forced convection can also be adapted to existing dryers. Keywords: Performance, ATESTA dryer, Togo, Forced convection, Dried prineapple
Cerium Oxide Nanoparticle-Papain Enzyme Bioconjugate: Synthesis, Characterization and Optical Absorption Study for Biomedical Applications
Authors:   Department of Physics, Bankura Zilla Saradamani Mahila Mahavidyapith, Bankura, 722101, West Bengal, India, Mandal Goutam , Bhattacharjee Baibaswata
Published: April 2024

Objective: Here, we synthesize cerium oxide nanoparticles, successfully characterize them, and study the interaction between enzymes and cerium oxide nanoparticles (CeO2 NPs) using a simple optical spectroscopic technique. Method: CeO2 was fabricated by chemical method. Characterizations were done using UV-Vis absorption spectra, FESEM images, and XRD data. For the biomolecular study, papain was used as a model enzyme. Two different concentrations of CeO2, namely a small concentration range (0.05810 to 0.40670 mM) and a large concentration range (0.58100 to 0.92961 mM), were taken to study the interaction with the papain. UV-Vis absorption spectra were recorded to study bioconjugate formation. Findings: The CeO2 NPs have an intense absorption peak at 352 nm and a band gap of 3.78 eV. The XRD pattern showed the unit cell is cubic with an average particle size of 41.36 nm. The binding of papain with CeO2 NPs resulted in a red shift in its absorption peak. The apparent association constant (Kapp) was calculated for the bioconjugate and found to be 0.747 × 103 M-1 for small concentrations and 0.278 × 103 M-1 for large concentrations. In large concentrations, aggregation occurs instead of corona formation. Novelty: To the best of our knowledge, this may be the first study of the interaction of papain enzyme with CeO2 NPs. This study contributes to the application of NPs in the field of biomedicine. Keywords: Cerium oxide, Papaya proteinase (PP), Absorption spectra, Bioconjugate, Association constant
ResNet50 DeepFake Detector: Unmasking Reality
Authors:   Assistant Professor, Cyber Security, Shah & Anchor Kutchhi Engineering College, Mumbai, Maharashtra, India, Borade Shwetambari , Jain Nilakshi , Patel Bhavesh , Kumar Vineet , Godhrawala Mustansir , Kolaskar Shubham , Nagare Yash , Shah Pratham , Shah Jayan
Published: April 2024

Objectives: The objective of this research is to detect video deepfakes with a higher accuracy and provide optimum results. The research aims to reduce time complexity for the media processing while simultaneously working on the model accuracy. Methods: This research has utilized CelebDF and FaceForensics++ Datasets for training and 32 epochs with the use of Single Nvidia Tesla T4 GPU. The above method of training and validating the model yielded error of <5% and is very capable. Using image scraping this model initially eliminates the unimportant areas of consideration. Thus, reducing the amount of scans that the model does in order to identify the face. This reduces that training to graph ratio and provides less error margin. Findings: This research’s findings reveal the model's robustness in detecting manipulated videos generated by deepfake techniques. Through extensive experimentation on diverse datasets, ResNet50 consistently demonstrated 97% accuracy, sensitivity, and specificity in distinguishing authentic content from deepfakes. The model exhibited exceptional generalization across various scenarios, including face-swapping and lip-syncing, showcasing its adaptability to evolving deepfake techniques. This research contributes to the already existing literature on ResNet50 deepfake detection tools. It contributes by adding the image scraping feature to the ResNet50 model and overcomes the gaps such as increasing error percentage of some of the models. The research of 1 has a 20% error percentage while this research has an error percentage of 5% with an accuracy of 97%. Novelty: The study employs ResNet50 to detect deepfake videos, utilizing novel image scraping techniques to minimize errors and enhance prediction accuracy. Keywords: Deepfakes, Deep Learning, GAN, ResNet50, FaceForensics++, CelebDF
Solving Time-Fractional Fitzhugh–Nagumo Equation using Homotopy Perturbation Method
Authors:   Department of Mathematics, Deogiri College, Aurangabad, Maharashtra, India, Dhumal Meenakshi , Sontakke Bhausaheb
Published: April 2024

Objectives: This study aims to explore solutions to the time-fractional Fitzhugh-Nagumo equation, a nonlinear reaction-diffusion equation. Method: We utilize the Homotopy Perturbation Method (HPM) as a proficient analytical approach for addressing the time-fractional Fitzhugh-Nagumo equation. The HPM offers a structured method for deriving approximate solutions in the shape of convergent series, enabling accurate solutions even for intricate nonlinear fractional equations. Finding: The series solution obtained is validated by comparing it with numerical methods, showcasing its precision and effectiveness. Additionally, we assessed the error across various time and space values. Our analysis and computations reveal that the Homotopy Perturbation Method (HPM) stands out for providing precise approximations while maintaining computational efficiency. It's clear that this method presents a robust alternative to conventional numerical techniques, particularly in situations where analytical solutions are difficult to obtain. Novelty: The application of the Homotopy Perturbation Method to the Time-fractional Fitzhugh-Nagumo Equation has been effectively explored, with specific examples showing a strong agreement between the exact solution and the obtained solution. Keywords: Time-Fractional Fitzhugh–Nagumo Equation, Homotopy Perturbation Method, Riemann-Liouville fractional integral, Caputo fractional derivative, Fractional Homotopy Perturbation Method
Some Outcomes using Conditionally Sequential Absorbing and Pseudo Reciprocally Continuous in Multiplicative Metric Space
Authors:   Department of Mathematics, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India, Thota Thirupathi , Veladi Srinivas
Published: April 2024

Objective: The purpose of this paper is to establish two common fixed point theorems in Multiplicative Metric Space (MMS). Method: By utilizing the conditions Conditionally Sequentially Absorbing (CSA) and Pseudo Reciprocally Continuous (PRC) mappings. Findings: Two unique common fixed point theorems are generated and supported it with relevant examples. Novelty: In the first theorem, we use the concept CSA and PRC mappings. In the second theorem, we use the notion of CSA, non-compatible and PRC mappings. These conditions are weaker than the existing conditions like weakly compatible mappings which generalizes the theorem of Monika Verma, P Kumar and Andnawneet Hooda. Keywords Multiplicative Metric Space (MMS), fixed point, Psudo Reciprocally Continuous (PRC), Conditionally Sequential Absorbing (CSA), Occasionally Weakly Compatible (OWC) mappings
An effective Honey Badger Algorithm based Multi-Objective Optimal Allocation of Electric Vehicle Charging Stations in Radial Distribution Systems
Authors:   Research Scholar, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India, Thiruveedula Madhubabu , Asokan K , Subrahmanyam J B V
Published: April 2024

Objectives: To solve the multi-objective optimization problem in Radial Distribution Systems (RDS) using intelligent computational algorithm. The proposed work considers the recently developed Electric Vehicle Charging Stations (EVCSs) to minimize the network loss, reduce the Average Voltage Deviation Index (AVDI) and improve the Voltage Stability Index (VSI) of RDS. Methods: A new and novel optimization method of Honey Badger Algorithm (HBA) is proposed to solve the multi objective optimization problem. HBA is divided into two phases such as digging phase and honey phase, which are efficiently determining the optimal location and required value of EVCSs. The MATLAB 14.0 software is sued to implement the HBA methodology. The control parameters HBA such as population size is 40 and number of iteration is 200 iterations Findings: The power loss minimization of proposed test system is 48.82% improved when compared with base case method and 2.5 % improved than the other existing methods viz. Particle Swam Optimization (PSO), Flower Pollination Algorithm (FPA), Cuckoo Search Algorithm (CSA) and Teaching Learning Based (TLBO). Similarly, the Average Voltage Deviation Index is 43.42% improved when compared with base case method and 1.2 % improved than the other existing methods. Novelty: The proposed HBA effectively improves performance of RDS under increased loading conditions by tuning of the best location and optimal size of the EVCSs. Keywords: Radial distribution system, Electric Vehicles, Charging Stations, Voltage stability, Power loss and Honey Badger algorithm
Pollution Load Reduction from Domestic Wastewater with Electrocoagulation Process for Agricultural Reuse
Authors:   Research Scholar, Department of Basic and Applied Sciences, School of Engineering and Sciences, G D Goenka University, Sohna - Gurugram Road, Sohna, 122103, Haryana, India, Sushila Sushila , Kumar Parveen
Published: April 2024

Objectives: The present study is aimed to investigate electrocoagulation of domestic wastewater and assessment of pollutants removal efficiency for potential reuse in agriculture. Methods: The electrocoagulation treatment of domestic wastewater with Fe – Fe electrodes was performed under optimal conditions of pH (8.0), current density (0.6 mA/cm2), treatment time (45 minutes), and NaCl dose (2.8 g/L) in a slurry type of reactor. The primary clarified and biotreated domestic wastewaters were subjected to electrocoagulation with Direct Current (DC) as power source. Findings: There was observed higher pollutants removal efficiency from the biotreated wastewater as compared with the primary clarified wastewater after electrocoagulation. The treated wastewaters showed significant removal of pollutants in terms of BOD (79.5% – 87.9%), COD (86.8% – 89.5%), TDS (87.4% – 89.9%), TSS (66.7% – 75.3%), conductivity (77.8% – 78.4%), turbidity (74% – 81.2%), colour (77.7% – 86.2%), nitrates (44.1% – 51.7%), and phosphates (48.7% – 55.9%) after electrocoagulation treatment. Electrocoagulation considerably improved the biodegradability index of the primary clarified (0.59 to 0.92) and biotreated (0.69 to 0.8) wastewaters. This indicates easy removal of the pollutants further by biological processes in the aquatic ecosystems. Electrocoagulation demonstrated potential for removal of pollution from the domestic wastewater for productive reuse in agriculture and urban areas. Novelty: There exist few studies of use of electrochemical process for treatment and reuse of domestic wastewater. The treated waters complied with the regulatory standards and had satisfactory quality for reuse in agriculture and urban activities. Keywords: Electrocoagulation, Domestic wastewater, Biodegradability index, Agricultural reuse, National Green Tribunal
Surface modification of AZ61 Magnesium Alloy with Stelcar Alloy Powder Using Laser Cladding Technique
Authors:   Research Scholar, Department of Manufacturing Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Chidambaram, 608002, Tamil Nadu, India, Sathishkumar G B , Asaithambi B , Srinivasan V
Published: April 2024

Objective: To examine the tribological and mechanical characteristics of the AZ61 alloy reinforced with Stelcar alloy powder by surface modification through laser cladding. Methods: Surface modification was done by using a laser cladding machine, where the input parameters including Scanning Speed (SS), Laser Power (LP) and Powder Feed Rate (PFR) were adjusted. Experimental design followed a L9 Taguchi approach, and optimization of input parameters for the surface modified AZ61 alloy reinforced with Stelcar alloy particles was achieved using Grey Relational Analysis (GRA). Output responses, namely wear volume and micro hardness were measured to assess the effectiveness of the optimization process. Findings: From the results obtained through the experiments, powder feed rate contributes to 82.81% of the variability in wear volume, whereas the laser power mostly impacts micro hardness; influencing it by 89.46% confirmed with ANOVA. In order to determine the optimal processing parameters among various objectives, this research applies the grey relational method. The results showed that the wear volume and micro hardness of the composite were significantly affected by the Stelcar reinforcement. Employing Grey relational analysis combined with several optimization objectives into a transparent method, resulting in a clad material with the lower wear volume and higher micro hardness. The optimized processing parameters predicted grey relational grades with an error rate of 1.39% and a significant contribution of 63.60% from laser power. This study confirmed that multi-objective optimization could enhance laser-cladded surface mechanical characteristics and laid out the theoretical foundation for this approach. Novelty: This study introduces an innovative approach to surface modification by employing the laser cladding technique to reinforce Stelcar alloy particles, thereby creating a dense coating on the substrate. Keywords: Laser Cladding, AZ61 magnesium alloy, Stelcar alloy, Coating, Optimization
A Novel Deep Convolutional Neural Network Approach using Jacobi Polynomial and Laplacian Function (JPLF) in Recognition of Plant Leaf Disease
Authors:   Department of Computer Applications, Ethiraj College for Women, Chennai, Tamil Nadu, India, Janes Pushparani S , Chithra P L
Published: April 2024

Background/Objectives: Enhancing agricultural productivity is crucial for fostering economic growth. Plant diseases significantly threaten crops, necessitating timely detection to mitigate adverse impacts on quality, quantity, and overall productivity. This research addresses the importance of early disease detection in agriculture and proposes an innovative method utilizing Jacobian Polynomial and Laplacian Function for precise identification. Methods: Efficient monitoring of large-scale crop farms with minimal workforce is essential. To achieve this, an automatic method for plant disease detection is proposed. The method leverages Jacobian polynomials to expand input features, mitigating correlation issues among input vectors. The expanded Jacobi polynomial is the input vector for a backpropagation algorithm with a novel activation function based on the Laplacian function. Findings: The efficacy of the proposed JPLF model is demonstrated through the accurate identification of leaf diseases, achieving a high testing accuracy of 92.07%. Comparative analysis with existing models, such as CNN with MobileNet V2 (85.38%) and the IoU model (83.75%), highlights the superiority of the JPLF model in plant disease detection. Novelty: To overcome the limitations of existing approaches, the incorporation of Jacobian polynomials plays a pivotal role in expanding input features. This expansion aids in eliminating correlations among input vectors, enhancing the efficacy of disease detection. The proposed model, Jacobi Polynomial and Laplacian Function (JPLF) introduces a unique activation function based on the Laplacian function, improving accuracy. Keywords: Plant Disease Detection, Jacobi Polynomial, Laplacian Transform, Deep Learning Model, Feature Expansion
Pipelined and Wave Pipelined Approach Based Comparative Analysis for 16x16 Vedic Multiplier
Authors:   Assistant Professor (Sl.G), ECE, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Prasad J , Babu M Vasim , Kasiselvanathan M , Gurumoorthy K B
Published: April 2024

Objectives: This work objective is to construct an FPGA-based 16x16 Vedic multiplier and assess the performance of the multiplier using three distinct architectures: pipeline, wave pipeline, and modified wave pipeline in terms of delay and clock skew. Methods: The 16 × 16 Vedic multiplier was constructed and designed through four numbers of an 8x8 Vedic multiplier. For the 16x16 Vedic multiplier, the 3-stage pipeline and wave pipeline techniques are applied, and the delay performances of the Vedic multiplier are compared. Delay optimization: In the wave pipeline Vedic multiplier architecture, the delay is decreased by inserting the known delay on the longest path delay between the multiplier and adder. Clock skew optimization: The clock skew issue of the wave pipeline Vedic multiplier architecture is minimized by adjusting the setup time violation of the clock signal that is connected to the input and output registers. Findings: The delay performance of the Vedic multiplier was evaluated by the synthesis tools Xilinx 12.1, Xilinx ISE 14.2, and Altera, and based on the synthesis report, the Xilinx synthesis tool offers 73.71% delay performance for the pipeline approach and 53.39% for the wave pipeline approach compared to the Altera tool. Further delay is reduced by the proposed modified wave pipeline approach, which saves 2.122 ns of delay compared to the wave pipeline architecture. The clock skew performance was analyzed using the Time Quest timing analyzer tool, and it was minimized to 0.035 from 0.048 compared to the wave pipeline approach. Novelty: In this work, the modified wave pipeline approach has been applied to the existing Vedic multiplier architecture, and it offers less delay as well as less clock skew compared to the existing method. Hence, the performance of the Vedic multiplier with a modified wave pipelined approach was evaluated through a 3-tap FIR filter by applying a vibroarthrography signal. Keywords: Pipeline, Wave Pipeline, Vedic Multiplier, Clock skew, Set up violation, Altera quartex- II Time quest timing analyzer tool
Database Privacy: Design of User Privacy Preserving Central Bank Digital Currency: A Case of Tanzania
Authors:   The School of Computational and Communication Sciences and Engineering, The Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Tengeru, Arusha, Tanzania, Minja Godbless G , Nyambo Devotha G , Sam Anael E
Published: April 2024

Objectives: This work aims to contribute towards Tanzanian Central Bank Digital Currency (CBDC) users’ privacy preservation. It proposes the design of a privacy preserving CBDC which might be issued by Tanzania's Central Bank (CB), the Bank of Tanzania (BoT), which is currently in CBDC research phase. The work also aims to contribute to literature, the CBDC research being done by BoT, other CBs and CBDC stakeholders around the world. Methods: By using the Design Science Research (DSR) methodology, a privacy preserving CBDC design suitable for Tanzania was proposed, demonstrated and evaluated. This is the result of existing literature showing that different countries have different CBDC designs due to their differences in contexts and purposes for CBDC issuance. This consequently emphasized the fact that a CBDC design should not be treated as a one-size fits all solution. Findings: As opposed to the existing general and other country specific CBDC designs, we proposed a privacy preserving CBDC design suitable for Tanzania by consulting literature and taking into consideration the Tanzanian context. The design appears to be promising Tanzanian CBDC users’ privacy preservation though further work needs to be done. The work should not only be on practical evaluation of the proposed design but also on other factors impacting the success of CBDC projects. This will consequently further increase the success probability of CBDC projects, hence the potential for practical realization of CBDC project benefits. Novelty: Existing literature has shown that, considering the countries’ differences in context and CBDC issuance purposes, CBDC design should not be treated as a generic solution thereby obliging the need for country-specific CBDC designs. Consequently, the privacy preserving CBDC design suitable specifically for Tanzania consists of and provides an outline of privacy preserving interactions among the identified key Tanzanian CBDC participants or actors. The actors are the BoT, the intermediaries (i.e., other banks and payment service providers), Tanzania’s National Identification Authority (NIDA), financial transactions violation detection engine, and the expected CBDC users. Keywords: Digital currency, database privacy, central bank digital currency, privacy
Effect of TiO2 Nano-Filler with Jute/Kenaf/Glass in Tensile and Impact Properties on Fiber Stacking Sequence
Authors:   Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India, Arunachalam S Jothi , Saravanan R
Published: April 2024

Objective: The prime goal of this study is to conduct a comprehensive analysis, modelling, and optimization of various independent factors and coming up with a material that suits in structural application in automobile. Method: Composite is prepared using hand lay-up technique. The analysis is carried out through the utilization of the Central Composite Design (CCD) approach. Mathematical models are formulated for ultimate tensile strength and impact resistance, employing the RSM. These factors include fiber orientation, fiber sequence, and filler percentage, with a focus on their influence on mechanical properties. Finding: These models act as valuable tools for the selection of the most favourable independent variables to maximize the mechanical properties related to tensile strength and impact resistance. In conclusion, the experimental findings emphasize that the inclusion of Nano-filler results in an enhancement of 20% and 36% on tensile strength and impact properties respectively. Novelty: TiO2-infused polymers exhibit unparalleled strength and flexibility, promising transformative advancements in this work that can be implemented in aerospace, indoor, automobile, and medical industries. Keywords: Titanium dioxide, Nano­filler, Hybrid composite, Response surface methodology, Epoxy
Numerical Solution of Hybrid Fuzzy Differential Equation by using Third Order Runge-Kutta Method Based on Linear Combination of Arithmetic Mean, Root Mean Square and Centroidal Mean
Authors:   Assistant Professor, PG and Research Department of Mathematics, Bishop Heber College, Tiruchirappalli-17 (Affiliated to Bharathidasan University), Tamil Nadu, India, Rajakumari P Evangelin Diana , Sharmila R Gethsi
Published: April 2024

Objectives: This article develops the third order Runge-Kutta method, which uses a linear combination of the arithmetic mean, root mean square, and centroidal mean, to solve hybrid fuzzy differential equations. Methods: Seikkala's derivative is taken into account, and a numerical example is provided to show the efficacy of the proposed method. The outcomes demonstrate that the suggested approach is an effective tool for approximating the solution of hybrid fuzzy differential equations. Findings: The comparative analysis was carried out using the third order Runge-Kutta method that is currently in use and is based on arithmetic mean, root mean square, and centroidal mean. Compared to other methods, the suggested method offers a more accurate approximation. Novelty: In this study a new formula has been developed by combining three means Arithmetic Mean, Root Mean Square, and Centroidal Mean using Khattri's formula. And the developed formula is used to solve the third order Runge-Kutta method for the first order hybrid fuzzy differential equation. All real life problems which can be modeled in to an initial value problem can be solved using this formula. Keywords: Hybrid fuzzy differential equations, Triangular fuzzy number, Seikkala's derivative, third order Runge-Kutta method, Arithmetic mean, Root mean square, Centroidal mean, Initial value problem
SOP25v2_TGD_Immunoprecipitation v1
Authors: Pollner Alina , Rajesh Varsha
Published: April 2024

This protocol describes how to perform immunoprecipitation in protein lysates with the intention of sending the samples for mass spectrometry. The main concept is described below: 1) To pull down a specific protein in a lysate, you need an antibody that has been validated specifically for IP. Any other antibody might not be specific enough, resulting in an impure IP sample. 2) The antibody will bind to the protein of interest in the lysate during incubation. 3) Once the antibody-protein complexes have formed, they need to be separated from the rest of the sample. This is where the magnetic beads come in - here, Protein G magnetic beads are used. These are specific to IgG antibody and will bind to the antibody part of the antibody-protein complex. 4) The bead-antibody-protein complex is then washed multiple times and the stored for downstream experiments. 5) The sample needs to be validated by immunoblotting, which just visually confirms the protein of interest is actually in the IP sample and has been pulled down.
Ergenlerin Influencer Pazarlama İçeriklerine Yaklaşımları: Bir Okuryazarlık Araştırması
Authors: Özkan Gülden , Arslan Mehmet Halim
Published: April 2024

Teknoloji ve medya araçlarının gelişmesi ve farklılaşmasıyla birçok yeniliğin hayatlarımıza girdiğine, buna bağlı olarak markaların da reklam ve pazarlama stratejilerini değiştirdiklerine tanık olmaktayız. Geleneksel reklamcılık anlayışının haricinde son zamanlarda sosyal medya ortamlarında sıklıkla gördüğümüz ve markaların önemli yatırım bütçeleri ayırdığı influencer reklamcılık/pazarlama içerikleri hatırı sayılır bir şekilde çocukları ve ergenleri de hedeflemektedir. Bununla birlikte ergenlerin influencer pazarlama/reklamcılık karşısında reklam okuryazarlık becerilerini nasıl işe koştukları hakkındaki mevcut duruma ilişkin bilgimiz sınırlıdır. Bu çalışma, ergenlerin bilişsel, duygusal ve ahlaki reklam okuryazarlığı becerilerinin influencer pazarlama/reklamcılığın ikna edici doğasıyla mücadelede nasıl kullandığını anlamak amacıyla yürütülmüştür. Yorumlayıcı nitel bir metodolojiyi benimseyen çalışmanın verileri 15-17 yaşları arasındaki ergen katılımcılardan yarı yapılandırılmış görüşmeler yoluyla elde edilmiştir. Yönlendirilmiş niteliksel içerik analiziyle irdelenen verilerden ulaşılan bulgular, ergenlerin bilişsel reklam okuryazarlığı becerilerinin gelişmiş olmasına karşın influencerlarla kurdukları parasosyal ilişkinin duygusal ve ahlaki reklam okuryazarlık becerilerinin devreye alınmasını engelleyebileceğini göstermektedir.
From Dual Roles to Dynamic Equilibrium: An Overview of Theoretical Perspectives Used in Studies Addressing Work-Life Struggles of Working Mothers
Authors: Gerçek Merve
Published: April 2024

There has been much scholarly attention given to the role of women in the labor market throughout the years. While there are plenty of evaluations of ideas and perspectives regarding work-life concepts, there is limited understanding regarding the theoretical foundation of work-life concerns specifically about mothers. This study aims to provide an overview of theories used to investigate the work-life issues of working mothers. The data were collected from the Web of Science database. A total of 63 research studies examining the work-life challenges faced by employed women were evaluated based on theoretical frameworks. It was seen that identity theory and gender perspective are dominant perspectives in the current literature. In addition, the prevailing work-life perspectives adopted in the studies are work-life balance and work-life conflict. The study offers a detailed examination of the various theoretical perspectives employed in understanding the work-life difficulties encountered by employed mothers.
China’s Assertive Foreign Policy and Global Visions Under Xi Jinping
Authors: Akdağ Zekeriyya
Published: April 2024

China, which has made a major economic breakthrough, has become one of the most important actors in international politics by increasing its military power in recent years. China's increasing power and influence in the international arena arouses increasing curiosity about the country's foreign policy. With Xi Jinping becoming president, China began to display a more assertive attitude or behavior on many issues. This study basically seeks an answer to the question of what differences Xi Jinping brought to Chinese foreign policy. What kind of changes do these differences lead to in Chinese foreign policy? In this study, the general tendencies and directions of Chinese foreign policy during the Xi Jinping period are discussed. The assertive foreign policy approach that Xi Jinping is trying to implement is analyzed. In this context, the visions of "Chinese dream", "new type of great power relations", "new type of international relations", “Belt and Road Initiative" and "a community with a common future for humanity", which reflect Xi's assertive foreign policy approach, are examined. At the same time, challenges to the assertive foreign policy implemented under Xi Jinping are discussed. The study mainly questions the extent to which Xi Jinping's assertive foreign policy approach is successful. The study concludes that Xi Jinping's active foreign policy approach has not increased China's sphere of influence in the international arena to the extent expected. As China becomes more visible in the international arena, the country's foreign policy challenges seem to be increasing.
WID approach in teaching research writing to engineering postgraduate students
Authors: Shpit Elena I.
Published: April 2024

Academic (research) writing in the English language is a key professional skill, in particular, in engineering sciences. However, most Russian-speaking researchers have challenges in choosing rhetoric that would comply with the norms and traditions of a disciplinary discourse community. Therefore, the most relevant approach in teaching research writing to postgraduate students is «writing in the discipline» (WID) that focuses on the rhetoric conventions of a discipline. In this paper, we present the experience of using the results and implications of the analyses of scientific-engineering discourse in teaching research writing to postgraduate engineering students and the verification of the efficiency of such teaching experience. To verify the efficiency, we employed the comparative analysis of two types of writing: of international researchers and of postgraduates who completed the course. The results show that, postgraduate writing does not differ from the writing of international researchers in 20 out of 41 text features and demonstrate a successful acquisition of the new knowledge and skills, especially from the zone of proximal development. However, the remaining features illustrate considerable difference between the two types of writing. The totality of possible reasons proves the complexity of the research writing phenomenon and implies that the improvement of disciplinary skills in academic writing require continuous and systematic practice not only in the postgraduate program but throughout the university studies as well.
Education and culture: cross-cultural analysis
Authors: Dobrova Victoria V.
Published: April 2024

The paper deals with the basic pedagogical categories of education, training, upbringing in cross-cultural aspect. The differences in the conceptual apparatus of domestic and foreign pedagogy in the definition of education, as well as in the allocation of upbringing and training as components of education are shown. Recently, the content of education is largely understood as a projection of the main components of culture. Culture is an umbrella term that includes all the material and non-material aspects of any human society. The understanding of «culture» is important for pedagogy in general, since it is the transfer of culture that is the purpose of education, which is recognized by the whole world pedagogy. Education is understood as a process of transfer – appropriation of culturally formalized samples of human activity and its results in the form of knowledge, ways of activity, attitudes, values. Education is the basis for the transfer and sometimes transformation of culture. Understanding this interaction is difficult because «education» and «culture» are difficult to define precisely, and also because the interaction goes in both directions: culture influences education, and education influences culture.
The subjective position of a student with intellectual disability in the paradigm of the ecopsychological approach
Authors: Sergiyenko Tatyana P.
Published: April 2024

The paper examines the organization of the educational process in Russia of students with intellectual disability from the moment of the allocation of this nosological group, as well as the psychophysiological features of younger schoolchildren with this diagnosis. The problems of the organization of education and upbringing of younger schoolchildren with intellectual disability in the conditions of inclusion are considered. The analysis of statistical data on the number of schoolchildren of 1-9 grades with the diagnosis in question studying in Samara and Samara region under inclusion conditions for four years preceding the study was carried out. The research presents the differences in the development of subjectivity stages of younger schoolchildren with intellectual disability and their peers with the norm of development, identified as a result of diagnostics using the questionnaire of V.I. Panov and A.V. Kaptsov OSS-SP 5, adapted for this category of students. The author concludes that the methodology for determining the stages of subjectivity of younger schoolchildren is available for use by parents of younger schoolchildren in order to foster their dialogical communication with children in order to identify the actual subjectivity stages, as well as to find productive ways to develop the subjectivity of a child in a family environment.
Features of speech development of children born by cesarean section
Authors: Babina Ekaterina A. , Zhdanova Svetlana Yu.
Published: April 2024

Speech impairment in children is a multidisciplinary problem that is currently relevant and requires the study of likely risk factors. Among the causes of this speech pathology, some researchers will also highlight the way of delivery. The paper provides data of empirical research of peculiarities of speech development of children born with the help of caesarean section surgery and having no perinatal pathology at birth. The study was carried out on a sample of 104 young children, 77 of them were born naturally and 27 were born by caesarean section. In the course of the study the methods of observation, questioning of parents and testing of children using the methods «Diagnostics of neuro-mental development of early children» (Pantukhina G.V., Pechora K.L., Frucht E.L.) and «Complex assessment of development of children from 2 months to 3 years 6 months» (adapted version of KID-R and RCDI-2000). The study concluded that children born through caesarean section had no statistically significant differences with children born naturally over the entire age range. The analysis of the development of speech showed that at the beginning of an early age there were qualitative differences in the development of active speech between groups, but at the end of the period these differences were leveled. It is also worth noting that the analysis of the development of active speech in each group revealed a significant number of children with developmental deficiencies, which requires further analysis of the causes and the necessary corrective work with them.
Structure of the concept of «musical patriotic culture of schoolchildren»
Authors: Yusupova Ol’ga V. , Maximenko Galina N.
Published: April 2024

The relevance of the study is due to the increased attention to the patriotic education of the younger generation and the search for new forms and means of its implementation. The paper substantiates the need to introduce the concept of “musical patriotic culture of schoolchildren” and proposes its structure. Music adds a bright emotional component to develop a sense of patriotism in schoolchildren. The systematic introduction of elements of musical culture, reflecting the history of the country, into the targeted educational process, introducing schoolchildren to musical national traditions enriches and makes the process of patriotic education of schoolchildren more effective.
The problems of preserving the emotional well-being of students in the context of digitalization of education
Authors: Cherdyntseva Evgeniya V. , Yakubenko Oksana V.
Published: April 2024

In the conditions of modern society, the problems of emotional well-being of students are becoming particularly relevant. This is due to the challenges of the digital society, which include constant updating of information, multitasking activities, continuous stay of users in the digital environment, and others. These risk factors contribute to the emotional distress of the individual, which manifests itself in insufficient formation of emotional intelligence, increased anxiety, and behavioral disorders of students. Prolonged emotional distress in the future can lead to disharmonious personal development of a person and difficulties in his social functioning. Therefore, the formation of emotional well-being is an urgent task of pedagogy and psychology of childhood. The aim of the study is to determine the level of emotional well-being of students in the context of digitalization of education. The diagnosis of problems of emotional well-being was carried out according to the following criteria: the manifestation of emotional intelligence (the method of observation according to M.Y. Mikhailina and Ya.K. Nelyubina); the level of anxiety (G.V. Rezapkina’s testing method «Determining the level of anxiety»); the severity of aggressive behavior (M.A. Panfilova’s projective Cactus technique). The analysis of the data obtained allowed us to identify the following problems of preserving the emotional well-being of students: insufficient level of emotional intelligence, increased anxiety, high degree of aggressive behavior. Based on the identified results, methodological recommendations were developed for teachers and parents to solve these problems. The value of the conducted research consists in determining pedagogical approaches to the formation of emotional well-being of students in the context of digitalization of education, which will ensure the optimization of the introduction of information technologies into the modern educational space. This will lead to the preservation of the emotional well-being of all participants in the educational process.
Speaking unplugged, or what to do to get ESL students chatting (from a teaching experience at a technical university)
Authors: Karakozova Ekaterina N. , Perevezentseva Yuliya S.
Published: April 2024

The present paper describes an experiment aimed at the development and promotion of communication skills in students at technical higher educational institutions. This article analyzes the possibilities of such an interactive method as free-speaking activity in English classes with a group of students for whom verbal communication was not of interest due to the inability to listen to the interlocutor, differences in the level of language proficiency, and psychological incompatibility with people involved in communication. The principle of training laid down in the research implied a certain sequence of actions that had specific goals and training objectives. The study is based on the comparative analysis of the results of role-play interviews performed by students – “job seekers” – prior to and after the application of the aforementioned approach. The results obtained, first of all, indicate the possibility of successfully regulating the balance of communicative activity in the classroom, which naturally reduces the time of speaking for the teacher and increases the time for developing and improving speaking skills for students. Second, through the use of this method, students overcame psychological barriers caused by the fear of speaking and making mistakes. In general, the experiment facilitated not only influencing the improvement of students’ speaking skills, but also discovering the high potential of the free-speaking activity method for non-linguistic universities, where, as is known, foreign language learning is not a leading subject.