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Alice’s Adventures in Wonderland and the Fragility of the Ego: A Lacanian Reading
This article examines Lewis Carroll’s “Alice’s Adventures in Wonderland” (1865) through the lens of Lacanian psychoanalysis, focusing on the development and disintegration of the ego. Although Carroll’s text is often read as a whimsical children’s tale, it contains profound symbolic structures that dramatize the instability of selfhood when confronted with the unconscious. By engaging with Lacan’s concepts of the Real, the Imaginary, and the Symbolic, the analysis demonstrates how Alice’s descent into Wonderland destabilizes her identity, exposing the fragile foundations of her ego. Her failed attempts to impose logic, morality, and language—learned within the Symbolic order—highlight the arbitrary nature of meaning and the relativity of order. Furthermore, Alice’s uncontrollable bodily transformations and dialogues with herself illustrate Lacan’s notion of the fragmented body and the alienated ego. Ultimately, Wonderland functions as a satirical mirror of the Symbolic order, revealing the precariousness of identity and the subject’s inevitable subjection to the Other
Current Status of Irrigation Systems in Tamil Nadu
Tamil Nadu’s irrigation systems represent one of the most diversified and historically evolved water management structures in India, comprising canals, tanks (system and non-system), open wells and bore wells that together sustain the state’s predominantly agrarian economy. Based on data from the Season and Crop Report 2022–23 (Government of Tamil Nadu), the Dynamic Ground Water Resources Assessment Reports (Central Ground Water Board, 2020–2022), and the Sixth Minor Irrigation Census (Ministry of Jal Shakti), the present review highlights the structural composition, emerging trends and sustainability concerns of Tamil Nadu’s irrigation sector. The gross irrigated area during 2022–23 was around 29.20 lakh hectares, of which approximately 63% was irrigated by wells and bore wells, 23.4% by canals and 13.7% by tanks. Groundwater has become the principal source of irrigation, with an annual recharge estimated at 21.51 billion cubic metres (BCM) and extraction at 14.42 BCM—reflecting a stage of extraction of about 73.9%. Nearly 31% of the state’s groundwater assessment units are classified as over-exploited, showing serious stress in several delta and peri-urban regions. The Sixth Minor Irrigation Census (2017–18) reported a marginal increase in the total number of minor irrigation schemes (+2.05%), primarily due to growth in groundwater structures, while surface water systems showed a declining trend. These figures underscore a significant shift from traditional tank and canal irrigation toward groundwater dependence. The World Bank-supported Tamil Nadu Irrigated Agriculture Modernization Project (TNIAMP) has initiated modernization of irrigation infrastructure, tank rehabilitation and micro-irrigation expansion to address these challenges. However, persistent issues such as declining tank capacity, groundwater depletion and inefficient surface water conveyance continue to threaten sustainability. The paper concludes that future irrigation development in Tamil Nadu must emphasize conjunctive water use planning, revitalization of tank systems, promotion of water-saving technologies, stronger groundwater governance and real-time monitoring frameworks to ensure resilient and equitable irrigation management
Heritage-Tech Creativity: A Moderated Analysis of Learning Attitudes and Self-Efficacy in Graphics Education
In the evolving landscape of graphics education, where digital innovation merges with cultural heritage, fostering student motivation and self-belief is essential for equitable pedagogy. This study examines the interrelationships among Learning Attitudes (LA), Innovative Thinking (IT), and Creative Self-Efficacy (CSE) in graphic image creation among 508 Xi\u27an university undergraduates, integrating Bandura\u27s self-efficacy theory and Amabile\u27s componential model to prioritize cognitive diversity. Using a cross-sectional quantitative design, validated scales (NCLAGES, EITC-SRQ, CSES) and VARK styles were analyzed via PLS-SEM. The model explained 36% of CSE variance, with LA showing a direct positive effect (? = 0.488, p < .001). IT partially mediated this (indirect ? = 0.159), bolstered by experimenting (? = 0.121) and questioning (? = 0.103), but hindered by idea networking\u27s negative effect (? = –0.115), reflecting collectivist conformity. Learning style moderated LA–IT: multi-modal learners exhibited strong gains (? = 0.676), while visual learners faced overload (? = –0.274, ns). The Heritage-Tech Creativity Model guides interventions like hybrid studios, enhancing CSE by 20–30% and promoting inclusive design
A Machine Learning-Based Predictive Framework for Patent Infringement Detection: Enhancing Intellectual Property Protection Through Hybrid Ensemble Models
Patent infringement poses significant risks to innovation and economic growth. Traditional intellectual property (IP) protection methods are often reactive, expensive, and inefficient for large-scale patent management. This study introduces an optimized machine learning framework designed to predict patent infringements proactively. The research evaluates the performance of Random Forest, Support Vector Machines (SVM), and Logistic Regression on a curated dataset enriched with patent citations, legal status, and family size. The study employs Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance and Recursive Feature Elimination (RFE) for feature selection. A novel hybrid ensemble model integrating Random Forest and SVM is developed, achieving 75% precision, 95% recall, and an F1-score of 84%, outperforming baseline models. The findings contribute to IP management by offering a scalable predictive framework that minimizes litigation costs and enhances proactive infringement detection
Nanowax Application that Increases Stain Resistance as Well as Brightness in Ceramic and Porcelain Tiles
Polishing ceramic tiles enhances both aesthetics and durability by smoothing surfaces, improving light reflection, and facilitating cleaning. This process involves mechanical abrasion and chemical treatments, where surfaces are sanded and polished using specialized machines and compounds. The porosity structure of ceramics is critical for polishing quality, as it affects stain resistance and gloss. This study investigates the efficacy of Nanowax, a colloidal silica-based coating, in improving stain resistance and brightness by tailoring particle sizes to surface porosity. Results show that smaller particle sizes enhance gloss and stain resistance, particularly for ceramics with small pores, as evaluated per ISO 10545-14 standards
Development of Android-Based Interactive Mathematics Learning Media Assisted by Articulate Storyline in Junior High School
This study aims to develop an android-based interactive mathematics learning media assisted by articulate storyline for junior high school students. We developed the medium using the ADDIE methodology, which encompassed the phases of analysis, design, development, implementation, and evaluation. The validation of the materials, questions, and media products yielded highly valid results, with validity percentages of 94.7%, 98.1%, and 92.9%, respectively. The practicality assessment conducted with students and instructors indicates that the media is highly effective, yielding an average practicality score of 83.5% for students and 90% for teachers. The efficacy of the medium was evaluated through instruction in two distinct courses utilizing algebra teaching materials with a counterbalanced design. We conducted the study to compare the learning outcomes with and without the use of learning media. The analysis results indicate a substantial disparity between the two groups, with the average N-gain of learning utilizing learning media (0.475) surpassing that of learning without media (0.352). The results show that the android-based interactive mathematics learning media assisted by articulate storyline helps improve students\u27 math learning and is suitable for use as an educational innovation in the digital era
Modeling of Detection of Water Contamination Located in Diesel Tanks using Phase Change of FMCW Radar
Water contamination in diesel storage tanks presents serious operational and financial risks in automotive, marine, and industrial applications. Water intrusion—resulting from condensation, leakage, or diesel’s hygroscopic nature—can lead to microbial proliferation, corrosion, and fuel system damage. Bacteria and fungi thrive at the fuel-water interface, forming biofilms that clog filters and deteriorate fuel quality. Additionally, chemical reactions between water and sulfur compounds in diesel produce corrosive sulfuric acid, accelerating tank degradation. In high-pressure fuel systems, water droplets can also cause injector malfunction. Traditional detection techniques, such as manual inspections, chemical dispatch, and capacitive sensors, fall short in providing accurate, real-time contamination assessment. These limitations have driven growing interest in Frequency-Modulated Continuous-Wave (FMCW) radar as a reliable, non-invasive sensing alternative. FMCW is a continuous -wave radar that transmits a frequency-modulated chirp and analyzes the returned echo to detect material interfaces[1] [2][3]. This study aims to address the challenge of dual-level liquid detection—accurately determining both the diesel surface and underlying water contamination—by leveraging enhanced signal processing techniques to improve measurement resolution and reliability in practical environments
Factors That Influence Students’ Entrepreneurial Intention in Xi’an, China: Perceived Entrepreneurial Education as a Mediating Effect – A Pilot Test
This study explores the factors influencing students\u27 entrepreneurial intention in Xi’an, China, with a focus on the mediating role of perceived entrepreneurial education. A pilot test was conducted with 50 undergraduate students from private and public universities to assess the reliability and validity of the survey instruments. Key independent variables include perceived behavioral control, subjective norms, student attitudes, risk-taking propensity, perceived desirability, and self-efficacy. The pilot test results indicate high internal consistency (Cronbach’s alpha > 0.70) and construct validity for all variables. The findings suggest that perceived entrepreneurial education significantly mediates the relationship between these factors and entrepreneurial intention. This paper highlights the importance of refining instruments to ensure data quality and provides insights for enhancing entrepreneurship education programs
Work Empowerment and Career Adaptability Competencies in Dual Teachers: A Systematic Review
Dual teachers in applied universities play a pivotal role in bridging academic instruction with industry practices, yet they face unique challenges balancing these dual responsibilities. This systematic review explores factors influencing career adaptability among dual teachers, focusing on the moderating role of work empowerment. Career adaptability—defined by dimensions of concern, control, curiosity, and confidence—is crucial for navigating transitions and meeting evolving educational and industry demands. Key determinants include personal traits such as self-efficacy and resilience, professional development opportunities, institutional support, workload management, and access to resources. Empowerment, encompassing structural and psychological support, emerges as a critical enabler, enhancing adaptability by providing autonomy, resources, and motivation. Challenges persist, particularly in under-resourced regions like Shaanxi Province, China, where limited professional development and institutional support hinder adaptability. By synthesizing findings from 532 studies, this review highlights actionable strategies to enhance adaptability, including tailored professional development, equitable resource distribution, and empowerment frameworks. These insights aim to guide policymakers and educators in improving dual teachers\u27 effectiveness, ultimately advancing educational quality and socioeconomic impact
The Use of Computers in the Teaching-learning Process Some Time Ago and Nowadays
Information and Communication Technology’s development and the gradual implementation of computers as a teaching aid in educational institutions impose the need for additional instructions for classroom teachers regarding the computers’ use while working with children. Both the computer and its use in the teaching- learning process offer numerous opportunities, but it is important to choose those opportunities that will improve the educational process with the computer’s proper use and will motivate students to acquire new teaching content