bluuebunny/crossref_metadata_2025 huggingface dataset:
Responses of the Pine Island and Thwaites glaciers to melt and sliding parameterizations
Authors: Joughin Ian , Shapero Daniel , Dutrieux Pierre
Published: May 2024

Abstract. The Pine Island and Thwaites glaciers are the two largest contributors to sea level rise from Antarctica. Here we examine the influence of basal friction and ice shelf basal melt in determining projected losses. We examine both Weertman and Coulomb friction laws with explicit weakening as the ice thins to flotation, which many friction laws include implicitly via the effective pressure. We find relatively small differences with the choice of friction law (Weertman or Coulomb) but find losses to be highly sensitive to the rate at which the basal traction is reduced as the area upstream of the grounding line thins. Consistent with earlier work on Pine Island Glacier, we find sea level contributions from both glaciers to vary linearly with the melt volume averaged over time and space, with little influence from the spatial or temporal distribution of melt. Based on recent estimates of melt from other studies, our simulations suggest that the combined melt-driven and sea level rise contribution from both glaciers may not exceed 10 cm by 2200, although the uncertainty in model parameters allows for larger increases. We do not include other factors, such as ice shelf breakup, that might increase loss, or factors such as increased accumulation and isostatic uplift that may mitigate loss.
Modeling Economic Growth in Papua Province Using Panel Data
Authors: Silfani Dwi , Marbun Jonatan , Saputra Zaki Edi , Lubis Putri Kemala Dewi
Published: May 2024

This study aims to determine and analyze simultaneously the effect of Average Years of Schooling, and School Participation Rate on GRDPHB in Papua Province, the type of research used is the panel data regression model. This study uses panel data regression methods, the data used involves a combination of time series and cross-section data. The results showed a positive and significant effect of RLS and TPAK on GRDPHB in Papua Province with an adjusted R Square value of 0.998016 or 99.80%. This finding confirms the importance of focusing on improving the quality of education along with maintaining a high labor force participation rate as a strategy to strengthen Papua's economic base. Thus, human development and strengthening human resources will be the key to sustainable economic growth in Papua.
The Influence of Communication and Work Environment on Employee Discipline at the Islamic Hospital Bontang
Authors: Agusyani Agusyani , Nurfauziah Adinda Alya , Larashati Yunita Bunga Dina
Published: May 2024

This research was conducted to determine The Influence Of Communication And Work Environment On Employee Work Discipline Of Bontang Islamic Hospital Employess. The respondents of this research were 72 respondents who were employees at the Bontang Islamic Hospital who could be used in data management. The data was processed using correlation analysis with the help of an analysis tool, namely SPSS version 25.0. This type of research uses quantitative research. The data collection techniques used in this research were questionnaire methods, documentation, interviews, observation and literature study. The analytical method used in this research is a quantitative descriptive method. The data analysis techniques used in this research are data quality testing, classical assumption testing, multiple linear regression testing and hypothesis testing. Based on the research results, it can be seen from the partial results that Communication (X1) has a significant effect on Work Discipline (Y), partially the Work Environment (X2) has a significant effect on Work Discipline (Y). Based on the simultaneous results, the variables Communication (X1) and Work Environment (X2) have a significant effect on Work Discipline (Y). So the results of this research indicate that Communication and Work Environment of Bontang Islamic Hospital have an influence in improving employee work discipline.
Techno-economic Evaluation of Roller Flour Mills in Punjab
Authors: Rohit Sharma  , Sadhna Arora  , VK Sehgal
Published: May 2024

Milling is an imperative physical function involved in converting wheat into' its milled products. Techno-economic evaluation of roller flour mills for central plain, western plain and western regions of Punjab was carried out wit data collected from different roller milling systems through a questionnaire. containing information about parameters such as size, capacity, machinery, milled wheat products, various fixed and variable costs and the profitability of milling systems. The percentage capacity utilization of small and large roller flourmills was 7.15% and 9.06% respectively for central plain region. For western plain region, percentage capacity utilization of
small roller flourmill was 38.00% and there was no large roller flourmill.in this region. Also in western region, there was no small and large roller flourrnill. The processing costs were Rs. 33.36 and Rs. ·26.41 per quintal of wheat milled at the installed capacity of small and large roller flour mills respectively, whereas for western plain region, processing costs were Rs. 26.70 for small roller flourmills. The margins were Rs. 11.35 and Rs. 15.54 per quintal of wheat milled in small and large roller flourmill in central plain region, and Rs. 17.73 per quintal of wheat milled of small roller flourmills for western plain region. The low margins in these mills shows the grim situation of roller flourrnills in Punjab as they are running into losses.
Application of Groundwater Model for Prediction of Waterlogged Areas - A Case Study
Authors: A Sambaiah  , DK Singh  , AK Bhattacharya  , AK Singh
Published: May 2024

The present study was undertaken to analyse the impact of canal seepage and groundwater pumping on groundwater fluctuations to predict the waterlogged area in an irrigation command lying between Karwan river and Left Dadupur distributary of Indo-Gangetic plains of western Uttar Pradesh. A modular flow groundwater model MODFLOW with Windows graphical user interface (PMWIN) for this purpose. The spatial variations of predicted groundwater table show that post-monsoon groundwater table level in 1994 has gone up by 2 to 5 m with respect to 1990 post-monsoon levels. At the same time, the spatial variations of observed water table has also gone up by 3 to 5.5 m. Simulation results revealed that as such there is no waterlogged area in the study area as of now. However, pockets in each block, which are classified as critical and potential waterlogged area are on the rise. Results of the simulation also revealed that the groundwater pumping, groundwater recharge from various sources and groundwater outflow from the aquifer are more or less in equilibrium in the head and tail ends of the command area.
Economics of Custom Hiring of Combine Harvesters in North-Western Indo-Gangetic Plains of India - A Case Study
Authors: T. C. Thakur  , Tapan Kumar Khura  , Raj Kishor  , S.J. Amdekar
Published: May 2024

Combine harvesters were introduced in the North-Western Indo-Gangetic plains of India due to labour shortage particularly on harvesting season and uncertain weather conditions. Now, these are being popularized and adopted by all categories of farmers. The custom unit managers who are involved in the business were selected for this study, which was conducted in 7 districts of North-Western plains of U.P. and one district of Tarai region of Uttaranchal during the year 2001-02. The North-Western Indo-Gangetic Plains were classified in three intensity zones based on crop harvesting index i.e. high intensity zone (greater than 60%), medium intensity zone (30-60%) and) low intensity zone (less than30%). A total of 30-unit managers (10 unit managers from each intensity zone) were selected randomly for the present study. The data were collected from these selected unit managers/owners on a pre-structured and well-tested proforma. About 90% of combine harvesters on the farms were of local made. The area of coverage of combine harvester was about l49.8lha in Kharif season and 261.81ha in Rabi season. The field capacity of commercial combine was 0.86 hath in Rabi season and 0.66 hath in Kharif season. Combine owners reported that the business of combines on custom hiring had become highly competitive.
A Study of Pakistan’s Fiscal Landscape: Examining the Influence of Institutional Quality and Tax Policy Transformation
Authors: Shabeer Muhammad Ghulam , Khan Abdul Wahab , Iqbal Zahid , Ayyubi Muhammad Salahuddin
Published: May 2024

Tax collection is the fundamental pillar of financing public services such as education, healthcare, social welfare programs, and infrastructure, and ensuring economic stability. A high share in tax to GDP shows showing greater capacity of a government to provide a high living standard. Maintaining a high tax-to-GDP ratio is important to reveal the ability of the government to generate revenue mobilization. The main drive of the paper is to scrutinize the tax reform influence on the tax-to-GDP ratio for the data period covering from 1996 to 2022 in Pakistan. The study employs the ARDL estimation method, which is suggested by the unit root test. Notably, the long-run results show that regulatory quality and government effectiveness depicted a positive influence on the tax to GDP share, suggesting that improvements in these areas can significantly increase revenue collection. Similarly, political stability and the rule of law also play a positive and significant impact on tax to GDP shares, highlighting their vital roles in increasing revenue mobilization and tax voluntary tax compliance. In contrast, inflation appears negative association with tax to GDP ratio, indicating a substantial decline in the revenue mobilization in the total revenue collection. Findings recommend that the government have to focus on enhancing controlling quality, political stability, government efficiency, and the law and order to boost voluntary tax compliance. Additionally, strengthening institutions is vitally important for enforcing tax laws, and guaranteeing a fair and transparent tax mechanism further boosts revenue collection efforts.
Rancang Bangun Sistem Kendali Jarak Jauh Semi Autonomous Pada Prototype Kapal Penebar Pakan Ikan Bandeng
Authors: Mahsun Ali , Nur Mohammad , Jauhari Moh
Published: May 2024

Ponds are artificial ponds that are used as a means of aquaculture. For people who are engaged in aquaculture, providing sufficient feed is very important for the smooth running of fish farming. Until now, fish feeding is still using a manual system, so there is a lack of time efficiency and less distribution. Therefore fish farmers need a tool that can spread the feed with a remote controlled system so that in this way it will provide time efficiency and can be evenly distributed. In making this final project I will make a tool that can help fish farmers to spread the feed using a remote control boat using Arduino, in this ship there are several components and auxiliary tools namely Arduino, NRF24L01, PA Wireless Module, Antenna , 100uF Capacitor Condenser, Arduino Joystick, Battery, Battery Capacity Tester, Electronic Speed ??Controller (ESC), Servo, DC Motor, Boat Steering, Arduino Application. Thus this tool will greatly assist fish farmers in the process of stocking feed so that they can assist the cultivation process until the harvesters arrive with satisfactory results.
Evaluation of Growth Strategies on the Organizational Performance of Retail Stores – A Case Study of Quick Mart Supermarket Stores In Nairobi, Kenya
Authors: M. B. Kenneth , W. M. Maria
Published: May 2024

The purpose of the study was to evaluate the impact of growth strategies on the organizational performance of retail stores in Nairobi with Quick Mart supermarket stores in Nairobi as the case study. The question guiding this research was: How does technology adoption strategy impact the organizational performance of Quick Mart supermarket stores in Nairobi County? The blue ocean strategy theory provided support for this investigation. A descriptive research strategy was used. The target population for this study was 125 managers who work at Quick Mart. A purposive sampling procedure was used to obtain a sample size of 95. This study used both descriptive and correlational analysis as its research design. Data was gathered using structured questionnaires. The data gathered was analyzed through descriptive analysis and presented in tables. The findings indicated a Pearson correlation of 0.841 for technology adoption and the regression analysis indicated a beta coefficient of 0.620 for technology adoption. The study concluded that technology adoption had a highly positive significant impact on organizational performance. The study suggested that to improve organizational performance, growth tactics should be adopted more widely.
Lagrangian and Clairaut anti-invariant semi-Riemannian submersions in para-Kaehler geometry
Authors: Gündüzalp Yılmaz , Polat Murat
Published: May 2024

Purpose of this article is to examine some geometric features of Clairaut anti-invariant semi-Riemannian submersions from para-Kaehler manifold to a Riemannian manifold. We give Lagrangian semi-Riemannian submersion in para-Kaehler space froms. Then, we investigate under what conditions Clairaut submersions can become anti-invariant semi-Riemannian submersions. After, we obtain conditions for totally geodesic on vertical and horizontal distributions. We also supply a non-trivial example of Clairaut submersion
An Application on Harmonic Mean Labeling of Variations in Triangular Snake Graphs
Authors: T. Christy
Published: May 2024

A graph G with p vertices and q edges is called a harmonic mean(HM) labeling if it is possible to label the vertices x∈v with distinct labels ρ(x) from {1,2,⋯,q+1} in such a way that each edge e=ab is labeled with ρ(ab)=⌈(2ρ(a)ρ(b))/(ρ(a)+ρ(b))⌉ or ⌊(2ρ(a)ρ(b))/(ρ(a)+ρ(b))⌋ then the edge labels are distinct.In this case ρ is called Harmonic mean(HM) labeling of G. In this paper we introduce new graphs obtained from triangular snake graph TS_n such as TS_n∘K_1, and prove that they are Harmonic Mean labeling graphs.
Impact of Yoga Awareness on Transmission Dynamics of Communicable Diseases: SIR Model Analysis
Authors: Raghu Bir Bhatta
Published: May 2024

Communicable diseases are major health problems that affect the whole economy of the na-tion. So it becomes the prime agenda of developed and developing countries to educate peo-ple about disease dynamics and control strategies. Due to changes in people’s living styles, disease treatment modality has been changed. So, we have introduced Yoga awareness as control strategy which includes Ahar, Vihar, Achar and Vichar. They are means for achiev-ing the physical, mental, social and spiritual well-being. Our main aim is to model the role of Yoga awareness in controlling the disease dynamics. It maintains the physical fitness of practitioners and improve the whole metabolism system of the human body. In this work, the previous SIR model is modified by incorporating a new awareness transmission rate β 1 to the existing model. Real life situation data of Yoga aware and aware infected individuals were col-lected from different Yoga centers of Sudurpashchim province, Nepal and analyzed by using mathematical techniques. Stability analysis of  governing by ordinary differential equations showed that model is stable. Yoga awareness reproduction number Ra was calculated by next-generation matrix method. Sensitivity analysis of Ra and concerning parameters indicate that Ra decreases with an increase in Yoga awareness coverage level. Also, the recovery rate has the opposite relation with Ra which indicates that the recovery period also decreases with an increase in awareness coverage. Local and global stability analysis showed that disease-free equilibrium exists when Ra < 1 and endemic equilibrium exists when Ra > 1. Numerical simulations also support the analytical results and suggest that Yoga awareness has a positive influence on controlling disease d ynamics. The increase in the coverage of awareness leads to reduced susceptibility and infectivity. So propagation of disease can be controlled by Yoga awareness.
Nonlinear Analysis and Topological Approaches towards a Deep Intelligent Framework for Privacy Assurance of Autonomous IoT Systems
Authors: S. Chandra Sekaran
Published: May 2024

The proliferation of autonomous Internet of Things (IoT) systems powered by deep learning and artificial intelligence has ushered in a new era of data-driven convenience and automation. However, this innovation comes hand in hand with heightened concerns regarding data privacy. This paper presents a comprehensive framework for Privacy Assurance in Autonomous IoT Systems (PAIS), which amalgamates cutting-edge technologies and best practices to safeguard individual privacy in the era of pervasive connectivity and autonomous decision-making. The PAIS framework comprises multifaceted strategies to address privacy challenges in autonomous IoT ecosystems. It leverages advanced encryption techniques, robust access control mechanisms, and anonymization protocols to ensure data confidentiality. Moreover, differential privacy mechanisms are deployed to protect the identities of individuals within data streams. An innovative aspect of PAIS is the integration of AI-driven privacy monitoring, which constantly evaluates data for potential breaches and triggers immediate responses when anomalies are detected. Ensuring regulatory compliance is a paramount facet of the PAIS framework, as it aligns with evolving data protection regulations globally. Users are afforded control and transparency through intuitive interfaces, enabling them to manage their data usage preferences effectively. The ethical implications of AI in privacy preservation are also examined within the framework, emphasizing the importance of fairness and bias mitigation. PAIS promotes a privacy-by-design approach, where privacy considerations are integral to the inception and development of IoT systems. Regular risk assessments are performed to identify potential privacy vulnerabilities, ensuring that the framework adapts to emerging threats. Education and training programs are provided to stakeholders to foster awareness and adherence to privacy best practices.
Design of Software Reliability Prediction using Radial Basis Function Networks with Nonlinear Analysis and Topological Considerations
Authors: R. Josphineleela
Published: May 2024

This study presents a thorough methodology for predicting software reliability by employing Radial Basis Function Networks (RBFNs). By using machine learning methodologies such as Radial Basis Function Networks (RBFNs), software development teams are enabled to make well-informed decisions, optimize resource allocation, and proactively mitigate potential dependability concerns. Consequently, this results in improved software quality and heightened customer happiness. This methodology involves multiple stages, starting with data collection and preprocessing. We assemble a comprehensive dataset comprising historical software performance metrics, defect reports, and relevant development process information. After data cleansing and feature engineering, we split the dataset into training, validation, and testing subsets. The core of this approach lies in the construction and training of RBFNs. These neural networks consist of an input layer, a hidden layer with radial basis functions, and an output layer. The architecture parameters, particularly the number of hidden neurons and the spread parameter of the radial basis functions, are optimized through a systematic hyperparameter tuning process using the validation dataset. Upon achieving an optimal model configuration, we rigorously evaluate the RBFN predictive capabilities using the testing dataset.
Theorems for Near Stable Points on a Near Banach Space Furnished with Graph
Authors: Savitha. S
Published: May 2024

The paper introduces a novel method for defining the graph associated with a near Banach space. In mathematics, a graph typically represents relationships between objects. Here, it seems the graph is being defined in the context of a near Banach space, which is a generalization of Banach spaces allowing the norm to take infinite values. An iteration function is utilized to define the subgraph of the graph associated with the near Banach space. This subgraph likely captures specific properties or relationships within the original graph. The paper presents near-fixed point theorems by well-known math- ematicians such as Banach, Kannan, Chatterja, and Ciric [2][18][7][9]. These theorems deal with the existence of points that are approximately fixed under certain mappings or operations. The near-fixed point theorems mentioned are obtained or derived using the new approach introduced for defining the graph and its subgraph associated with the near Banach space [20]. This suggests that the new approach is effective in providing a framework for proving these theorems or extending their applicability to near Banach spaces. The paper discusses a fresh method for defining the graph of a near Banach space, employs an iteration function to define its subgraph, and then demonstrates the utility of this approach by deriving near-fixed point theorems by eminent mathemati- cians in the field [14][15[16].
A Note on Hybrid Coset of a Nearring
Authors: P. Narasimha Swamy
Published: May 2024

The present study intends to learn hybrid coset of a nearring. It is explained with the adequate definitions and theorems of the hybrid coset of a nearing and near ring homomorphism. It has been demonstrated that hybrid coset of a nearring is a nearring epimorphism with kernel. Further, we established some important fundamental results in terms of hybrid structure corresponding to the nearrings.
Integration of Complex Mathematical Approaches and Statistical Methodologies in Machine Learning for Design of Robust Prediction Models
Authors: Sarita Silaich
Published: May 2024

The disease known as breast cancer continues to be one of the most common and potentially fatal diseases that affect women all over the world. In order to provide effective therapy and more favorable outcomes for patients, early detection and correct diagnosis are absolutely necessary. This research explores the integration of operational research (OR) methodologies and advanced statistical methods within machine learning frameworks to enhance the prediction accuracy of breast cancer outcomes. By harnessing the power of nonlinear optimization and statistical techniques, including regression analysis and probability distribution models, we aim to refine the predictive capabilities of existing algorithms. The research employs a comprehensive dataset derived from clinical trials and patient records, analyzed through a series of machine learning models that incorporate elements of combinatorial optimization, decision analysis, and stochastic modeling. Key performance metrics, such as accuracy, sensitivity, and specificity, are evaluated against standard benchmarks to determine the efficacy of the integrated approaches. Preliminary results indicate that incorporating OR and statistical methods significantly improves model robustness and predictive accuracy. The study not only demonstrates the potential of applied mathematics in medical diagnostics but also provides a framework for future research in enhancing machine learning models for health outcomes prediction through mathematical innovations. This investigation contributes to the field of mathematical oncology by demonstrating how applied nonlinear analysis can bridge the gap between theoretical mathematical approaches and practical clinical applications, offering new pathways for early and more accurate detection of breast cancer.
Improved Mathematical Modelling and Statistical Assessment of Performance of Photovoltaic System under Non-Linear Operational Condition
Authors: Naval Kishor Jain
Published: May 2024

It is study presents an advanced mathematical model that captures the non-linear operational characteristics of photovoltaic (PV) systems, enhancing the understanding and optimization of their performance under varying environmental conditions. By integrating principles of non-linear dynamics and statistical analysis, the model precisely simulates the performance responses of PV systems to non-linear inputs such as irradiance fluctuations, temperature variations, and load changes. We utilized a comprehensive dataset collected from multiple PV installations to validate our model, ensuring robustness and applicability. The results demonstrate a significant improvement in predicting system behaviors, which facilitates more effective management and optimization strategies. Statistical tools were employed to assess the reliability and efficiency of PV systems, revealing key insights into their operational dynamics. Our findings contribute to the development of more resilient and efficient solar energy systems, offering a valuable resource for researchers and practitioners in the field of renewable energy technologies.
Prime Spectrum Graph of C-Lattices
Authors: Lakpa Sherpa
Published: May 2024

Let £ be a C-lattice. Let σ(£) be the set of all prime elements of £ and M(£) be the collection of all maximal elements of £. For S ⊆M(£), we introduce the new graph called S-join graph on σ(£), denoted by ΓS(σ(£)). We have studied properties like connectivity, diameter and domination number of the graph σ(£) . In this paper, we established that the topological space σ(£) is connected if and only if the graph ΓS(σ(£)) is connected.
Computing Topological Indices of Certain Networks
Authors: Vidya S Umadi
Published: May 2024

In mathematical chemistry, topological indices are molecular descriptors that are calculated on the molecular graph of a chemical compound. The molecular graph is a graph which is obtained from some chemical structures. The degree of every molecular graph cannot exceeds 4. Topological indices are numerical quantities of a graph that describe its topology. An atom represents a vertex and a bond between two atoms represents an edge in a molecular graph. Mainly there are three types of topological indices viz., degree-based, distance based and eigenvalue-based topological indices. The first degree-based topological indices are the first and second Zagreb indices. The first Zagreb index M_1 is defined as the sum of squares of degrees of each vertex in a graph G and the second Zagreb index M_2 is the product of degree of every adjacent vertices. In this case the summation goes on the set of edges of a graph G. The most studied topological indices are degree-based topological indices. Motivated by these topological indices in this paper, we introduce five new degree-based topological indices based on the neighborhood degree of a vertex. Further, we compute the values of various nanostructures like hexagonal parallelogram P(m,n) nanotube, triangular benzenoid G_n,zigzag-edge coronoid fused with starphene nanotubes ZCS(k,l,m), dominating derived networks D_1,D_2,D_3, Porphyrin Dendrimer, Zinc-Porphyrin Dendrimer, Propyl Ether Imine Dendrimer, Poly(Ethylene amido amine Dendrimer, PAMAM dendrimers(????????1,????????2,????????1), linear polyomino chain L_n,Z_n,B_n^1 (n≥3),B_n^2 (n≥3) and triangular, hourglass, and jagged-rectangle benzenoid systems of these indices. The standard computational techniques are used for the computation of topological indices of nanostructures. For the edge partition of the nanostructures the algebraic techniques are used. Using these techniques computation of topological indices became easy and also helped to get the more accurate results.
Media Image Transmission and Privacy Protection for Internet of Things Security
Authors: Huibao Wen
Published: May 2024

Due to their restricted resources, processing capacity, and memory, Internet of Things (IoT) gadgets are susceptible to certain security risks. Encryption methodologies were established to provide safe communication between IoT devices with minimal computing cost and bandwidth consumption, due to the rise in media date. This research proposes a revolutionary compact pixel crypto (CPC) technique that can accommodate the modest transmission speeds of IoT gadgets. The suggested techniques reduces the computational burden and data quantity by encrypting the image data using pixel driven selective  encryption and bloke scanning compression. The suggested method’s effectiveness is examined using the network simulator (NS-2) platform. According to the findings of the experiments, the suggested method outperforms the previous approaches in terms of both packet rate and energy usage. The proposed approach shortens the time needed for node side encryption and decryption operations with improving the system’s energy effectiveness and connectivity performance.
Parenting Stress and Coping Strategies Adopted by Working Mothers; A Thematic Research
Authors: Mohd Shakeel Dr. Gajanethi Swathi Kumari, Dr. Farhat Ali Syed, , Dr Kanika Sethi Dr Sindura Bhargav, Dr. Yogesh Mehta,
Published: May 2024

In today's society, an increasing number of mothers are balancing the demands of work and family responsibilities. As more women enter the workforce, understanding the unique stressors faced by working mothers in their parenting role becomes paramount. The challenges of juggling work and family life can contribute to heightened levels of parenting stress, impacting maternal well-being and family dynamics. Furthermore, the strategies employed by working mothers to cope with these stressors are crucial for maintaining a healthy work-family balance and promoting positive parent-child relationships. However, there is a gap in our understanding of the specific stressors experienced by working mothers and the effectiveness of various coping strategies they adopt. The study likely involves an investigation into the unique stressors experienced by older first-time mothers and how they adapt to the demands of motherhood. Reece may have conducted interviews, surveys, or observational studies to assess stress levels, coping mechanisms, and maternal adaptation among this population.
Growth, Opportunities and Challenges of E Learning Model in Higher Education and Professional Certification
Authors: Aishwarya Suraj Ray Dr. Poonam Nikam,
Published: May 2024

The currently available database on scholastic pursuits is both outdated and inadequate. Incomplete coverage, excessive gaps, etc., plague the gathering and sharing of educational data. More and more schools and students are taking advantage of the exciting new possibilities made possible by the rise of e-learning as a direct result of the current environmental shift. Through reviewing a wide range of studies, theses, research, and papers published by a variety of writers in India and elsewhere, the researcher here is making an effort to glean any and all relevant information for the study. Literature can help guide the formation of research questions. Both primary and secondary sources of information are considered during the discovery process. In order to derive the research of e-learning platforms in pedagogy and professional certifications, secondary data should be gathered from many websites. Primary sources include both educators (professors and teachers) and learners (students). The material was examined and hence the following findings were produced from the study. Today’s e-learning approaches in higher education can be traced back to the original remote learning techniques. There are numerous causes for the expansion of the upper education and professional certification courses of e-learning industry, both from the institutions’ and students’ viewpoints. The researcher hopes to achieve all of the study’s aims and learn as much as possible about the topic by analysing the data gathered.
SINDy-PI: A robust algorithm for parallel implicit sparse identification of nonlinear dynamics
Authors: Kaheman Kadierdan
Published: May 2024

In this video, Kadierdan Kaheman describes SINDy-PI: A robust algorithm for parallel implicit sparse identification of nonlinear dynamics. The SINDy-PI overcomes the difficulties of using SINDy to identify the rational system or implicit dynamics and made it possible to directly extract the physical laws from data.
Strain and Strain rate-dependent Mechanical Metamaterials
Authors: WANG Lianchao
Published: May 2024

Generally, after the manufacturing process, the mechanical behaviors of a meta-structure or material are set and are hardly modified. Nevertheless, materials and structures with varying static or dynamical mechanical properties are attractive to many engineering fields. In this talk, I will introduce two types of mechanical metamaterials with tunable mechanical performances under large compressive deformations, one is strain-dependent mechanical metamaterial and another one is strain rate-dependent mechanical metamaterial. The tunable mechanical performances mean the tunable effective Young's modulus and Poisson's ratio (auxeticity), both of which are fundamental mechanical properties of materials. For the strain-dependent mechanical metamaterial, the corresponding theoretical model of their effective Young's modulus and Poisson's ratio were established, and the mechanism of their mechanical tunability has been explained. More importantly, simulation results demonstrate that the strain-dependent metamaterial has the potential for designing metamaterials exhibiting tunable phononic band gaps. For the strain rate-dependent mechanical metamaterial, we design a solid structure that displays unidirectional shock resistance, thus going beyond Newton’s second law in analogy to non-Newtonian fluids. We design the mechanical metamaterial with finite element analysis and fabricate it using three-dimensional printing at the centimetric scale (with fused deposition modeling) and at the micrometric scale (with two-photon lithography). The non-Newtonian elastic response is measured via dynamical velocity-dependent experiments. Reversing the direction of the impact, we further highlight the intrinsic non-reciprocal response.
Weak scattering in phononic crystals
Authors: Lázaro Mario
Published: May 2024

In recent decades, there has been a significant advancement in the field of phononic crystals, thanks to the development of innovative techniques for controlling waves in complex media. One area of particular interest involves materials comprising a host medium with an array of point scatterers. Hyperuniform and stealth disordered materials are especially noteworthy, as they enable the identification of point scatterers that mitigate scattering within a certain frequency range while exhibiting heterogeneity in another range. The Born hypothesis plays a crucial role in connecting the design of hyperuniform materials to wave propagation characteristics. In this seminar, we will delve into a comprehensive methodology for modeling various types of scatterers in 1D waveguides. Furthermore, we will establish the mathematical correlation between the point distribution and propagation properties to ensure that we are dealing with weak scattering phenomena. To validate this methodology, we will present numerical examples and provide physical interpretations for the mathematical findings.
Online Learning for a Tribal Child During the Pandemic: A Study from Jammu and Kashmir in India
Authors: Ali Shafket , Kaur Satvinderpal
Published: May 2024

The present study was conducted on the perceptions of tribal children toward online learning during the COVID-19 pandemic. The objectives of the present study were to find out the perceptions of tribal children about online learning during the pandemic. The data was collected from the tribal children of the Doda district of Jammu and Kashmir. The investigator collected data from the 100 tribal children of elementary schools which includes (50 male and 50 female tribal children). The data were collected with the help of a self-made questionnaire. The interpretation of data was done with the help of percentage analysis of statistical techniques. The finding of the study revealed that overall, the majority of tribal children have a very negative attitude towards online learning during the pandemic. Almost the majority of tribal children do not like the online learning system. At the same time, the tribal children preferred and considered on-school education more effective and successful than online learning. The study also states that the tribal children faced a lot of challenges and problems in their education during the pandemic. These challenges and problems include internet connection problems, electricity problems, financial problems, lack of technological skills among tribal children, etc. Overall, a greater number of tribal children are of the view that online learning does not fulfill their learning satisfaction level.
Teachers' Opinions on the Problems Encountered in Internship Practices in Special Education Vocational Schools
Authors: Çelik Erkan , Gül İbrahim
Published: May 2024

Special education vocational bchools are educational institutions for children with special needs. Internship studies carried out in these schools include practices aimed at preparing students for the real work environment. The aim of this study is to reveal the difficulties encountered by students doing internship in special education vocational schools according to teachers' opinions and to make some suggestions on this issue. The research was handled with a descriptive design from case study methods. The study group of the research consists of teachers working in special education vocational schools. While collecting the research data, the opinions of teachers selected from different fields were utilized. The data were collected using a semi-structured interview form developed by the researchers. Content analysis is used to analyze the research data. The findings obtained from the research can be categorized under four headings. These are internal problems, problems related to the school, problems related to the practicum teachers and problems related to the practicum institution. The most important problems related to students are stated as adaptation and absenteeism. The most important problem arising from the school is the lack of workplaces where students will practice. Problems arising from the practicum teacher were stated as the application process and the follow-up of the students. The problems arising from the institution are concentrated in the options of excessive workload and the staff's approach to students. In order to eliminate these problems, it was suggested that students should be informed about internship, each student should be assigned to a workplace related to his/her field, students should not be made to do unnecessary work, and competent master trainers should be assigned. Some suggestions have been made to solve these problems.
An Investigation of Graduate Theses on Gifted Students Based on "Differentiated Instruction"
Authors: Güçin Gökhan , Oruç Şahin , Altun Adnan
Published: May 2024

The aim of this research is to reveal the general status of graduate theses written on the basis of “differentiated teaching” with gifted students in Turkey. In this study, where basic qualitative research method is used, data were obtained by document technique examination. Descriptive analysis method was used in the analysis of the obtained data. In the determination of the graduate theses to be used in the study, the thesis screening electronic environment of the Higher Education Institution was used. In line with the findings of the study, most of the theses related to the differentiated teaching in the field of gifted people in Turkey were concluded within the Institute of Educational Sciences in 2014, where the most thesis was doctoral theses. The most studies are written within the Istanbul University. In addition, the methods used in research are mostly quantitative research patterns. The most used models in the theses are the parallel (running) curriculum model and integrated curriculum models respectively. Again, the most differentiated disciplines are mathematics, science and social knowledge respectively. The majority of the sample/working group of the research are 5th grade. When the results of the research are examined, it is recommended that differentiation models related to the superior talents be carried out with the courses at the secondary level (high school) level and with the students, qualitative and mixed method researches are also given weight and studies are carried out at the graduate level.
Rezension von: Uhlig, Harald (Hrsg.), Flur und Flurformen
Authors: Ulshöfer Kuno , Uhlig Harald
Published: May 2024

Harald Uhlig (Hrsg.), Cay Lienau (Red.): Flur und Flurformen. Types of field patterns. Le finage agricole et sa structure parcellaire. Materialien zur Terminologie der Agrarlandschaft. Band 1. Gießen: 1967. 237 S. DM 28.-.
Rezension von: Zur Nedden, Otto C. A., Europäische Akzente
Authors: Wunder Gerd , Zur Nedden Otto C. A.
Published: May 2024

Otto C. A. zur Nedden: Europäische Akzente. Ansprachen und Essays. Wuppertal: Staatsverlag 1968. 242 S. 22,75 DM.
Rezension von: Dunkhase, Heinrich, Das Fürstentum Krautheim
Authors: Ulshöfer Kuno , Dunkhase Heinrich
Published: May 2024

Heinrich Helmut Dunkhase: Das Fürstentum Krautheim. Eine Staatsgründung um Jagst und Tauber 1802-1806 (1839). Nürnberg 1968. 296, LI S.
Rezension von: Berner, Herbert (Hrsg.), Dorf und Stift Öhningen
Authors: Wunder Gerd , Berner Herbert
Published: May 2024

Dorf und Stift Öhningen. Herausgegeben von Herbert Berner. 1966. 459 S.
Impedance Controller Design and Dynamic Solution of The Manipulandum
Authors: Yıldıran Yaşar , Naseri Babek , Nobahar Amir , Doruk Reşat Özgür
Published: May 2024

This article explains the dynamic solution of the manipulandum that interact with the human upper arm, controller design, model simulation and simulation results. Manipulandum design in this field are used in human-machine interaction experiments to understand human motor learning skills. While the subject of experiments is handled in the field of medicine, appropriate manipulandum design is the subject of the engineering field. In this article, the engineering qualities of the device were evaluated, its mathematical model obtained, dynamic model simulation made and control elements were examined, but the experimental use of this device, which is serve medical science were not discussed in this context. In the literature review; The manipulandum have a 2-dof, 5-link closed chain structure that moves in the horizontal plane, their movement is provided by 2 actuators, their interaction with the human upper arm is made with a fixed joystick (end-effector) on the 2nd link, their dimensions are smooth and compatible with the human upper arm. It is understood that the manipulandum must be of a size that can safely interact with the human arm. A conceptual design was made for the manipulandum and the movement parameters of the manipulandum were obtained by creating a kinematic model accordingly. While creating the dynamic model of the system; It is accepted that the manipulandum moves in the horizontal plane, therefore there is no effect of gravity, there is no spring, damper or similar potential energy source in the system, and there is heat loss due to friction. The dynamic model obtained with the Euler Lagrange Method (ELM) was compared with the system model obtained with the Simulink Simscape Multibody (SSM) tool in the Simulink environment; The consistency of model parameters (friction coefficients, moment of inertia, etc.) was mutually checked. Since human-manipulandum interaction requires force control, an impedance controller has been designed for the system dynamics, instead of classical controllers. The success of the controller on both the ELM dynamic model and the model created in SSM was examined and the results were evaluated. As a result of the simulations; It is understood that in order to achieve meaningful position and force control, there must be a proportional magnitude relationship between the torques applied to the model by the actuators and the force applied to the end-effector.
Analysis Of Dalihan Na Tolu In Conflict Resolution In The Toba Batak Community: Case Study In Medan City
Authors: Lumbanraja Riana , Hutahaean Marlan , Rajagukguk Jonson , Sinaga Kepler
Published: May 2024

The aim of this research is to find a policy model for resolving social conflicts based on local wisdom in the Toba Batak community in Medan City. This research includes models and social conflict resolution based on the local wisdom of the Toba Batak community, with consensus and principled negotiations in resolving conflicts and strategic efforts adopted by dalihan na tolu elements to resolve conflicts. The consensus and negotiation model is an effort used to raise public awareness of the existence of the traditional principles of dalihan na tolu in conflict resolution. The wisdom model shows that there is public awareness and understanding of the great potential of local wisdom in conflict resolution in urban areas, namely mutual respect, solidarity and kinship and this forum is always present in the customs carried out by the Toba Batak people in their daily lives. The method for reducing conflict and weakening the pretext of na tolu is seen by building a commitment to togetherness and supporting public leaders such as ulama, traditional leaders and other community leaders to mediate between parties in conflict, as well as the need for a dual role of religious leaders in spreading the values ​​of peace and wisdom. local to strengthen the dalihan na tolu in the midst of the people or society. An analysis of the causes of conflict is seen through the resolution model in Toba Batak society with the patterns or functions of dalihan na tolu in conflict resolution in the city of Medan. The results of this research reveal that dalihan na tolu is a forum for consensus and principled negotiation in resolving conflicts in the Toba Batak community in Medan City where the actors in it wisely become the driving force in the consensus.
Mobile Marketing Effectiveness On Gamification
Authors: Krishnaveni T. , Shanthi Dr. V.
Published: May 2024

Gamification serves as a powerful tool to incentivize desired behaviors and drive customer engagement, leading to increased brand loyalty and advocacy. The main purpose of this study is to find the relationship between Mobile phone and gamification marketing and to analyse the customer involvement in gamification marketing through mobile phone. The various gamification implemented in the mobile app are sports, music, weather, stickers, news and health related games. Finally, it can be concluded that sports related games preferred by the customers while using mobile phone.
The cognitive engagement of students in pairs when using learning objects
Authors: Uehara Flavia Maria , Fiscarelli Silvio Henrique , Bizelli José Luís
Published: May 2024

This article discuss the potential use of Learning Objects for use with students organized in pairs in the school activities context.We will present data collected throughout a PhD research that sought to verify whether grouping into pairs during activities in the computer laboratory enables students' cognitive engagement. The investigation included the participation of 1st year and three 2nd year classes of elementary school in a Brazilian public school. The methodological approach used was Action Research and data collection took place during a complete academic year. In general, the results presented in this work allow us to affirm that the use of Learning Objects enables students' cognitive engagement during activities and that there is no significant difference in engagement between students who were organized in pairs and those who were working alone.