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Potential energy curves, spectroscopic parameters, vibrational levels and molecular constants for 37 low-lying electronic states of He2

editoraipubliucations@slideshare.net(editoraipubliucations) — Fri, 27 Jun 2025 10:19:14 GMT

A manifold of singlet and triplet electronic states of He2 is characterized theoretically using the R-matrix method. Potential energy curves have been calculated for (_^"1" )_"u" ^"+" , (_^"1" )_"g" ^"+" , (_^"1" )_"u" , (_^"1" )_"g" , (_^"3" )_"u" ^"+" , (_^"3" )_"g" ^"+" , (_^"3" )_"u" , (_^"3" )_"g" electronic states. These potential curves are then fitted to analytical potential energy functions (APEFs) using the Murrell-Sorbie potential function. The spectroscopic parameters, such as D_e, ω_e, ω_e x_e , B_e, α_e are determined using the obtained APEFs, and compared with theoretical and experimental data available. A whole set of vibrational level G(v) and inertial rotation constant B_v predicted for these electronic states by solving the ro-vibrational Schrödinger equation of nuclear motion using Numerov’s method completes these characterization.

Effect of Thermal Treatment of Two Titanium Alloys (Ti-49Al & Ti-51Al) on Corrosion Behavior in 0.01 M Various Acidic Media

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 19 Jun 2025 06:00:18 GMT

In this paper, the effect of thermal treatment of (Ti-49Al & Ti-51Al) alloys on corrosion behavior in 0.01M of H2SO4, H3PO4, HNO3 and HCl solutions was investigated. Potentiodynamic polarization measurements, were performed for the two alloys in 0.01 M acidic media at room temperature. The polarization curves indicated three regions. The first region, the active dissolution region was observed from – 2000 to ~ - 700 mV(SCE), the second region, signifying the transition from active dissolution to a passive state on the electrode surface and the third region, a trans-passive region, which the oxygen started to evolve and the current density increased sharply with further increase in potential. The results of potentiodynamic polarization curves, clearly indicate that the corrosion resistance for different alloys decreases as follows: a < f < e < d < b < c, this means that alloys (a, f and e), which have one phase structure ( 100 % γ), shows better corrosion resistance than alloys (d, b and c), which have dual phase structure (α + γ). The surface morphology was examined by scanning electron microscope (SEM) and energy dispersive X-ray analysis (EDX) of two alloys used to confirm the corrosion mechanism. The SEM results confirmed the corrosion of Ti-Al alloys due to uniform corrosion in 0.01 M HCl solution.

Theoretical investigation of low-lying electronic states of the Be+He molecular ion: Potential energy curves, spectroscopic constants and vibrational levels

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 12 Jun 2025 04:22:22 GMT

Potential energy curves, inter-nuclear equilibrium separations and harmonic frequencies of the low-lying electronic states of 〖Be〗^+ He correlating to the six lowest dissociative channels have been calculated using the cc-pV5Z basis sets and the complete active space self-consistent field (CASSCF) followed by the multi-reference interaction (MRCI) wave function including Davidson correction. Potential curves obtained are all fitted to analytical potential energy functions (APEFs) using the Murrell-Sorbie potential function. The spectroscopic parameters, such as D_e, ω_e x_e , α_e , B_e are determined using the obtained APEFs, and compared with theoretical data available. The vibrational level G(v), inertial rotation constant B_v are predicted for each vibrational states of this electronic states by solving the ro-vibrational Schrödinger equation of nuclear motion using Numerov’s method.

Phenomenology and Production Mechanisms of Axion-Like Particles via Photon Interactions: A Theoretical and Numerical Review

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 12 Jun 2025 04:17:43 GMT

Axion-Like Particles (ALPs) are theoretical pseudoscalar particles proposed in various extensions of the Standard Model, with potential implications for dark matter and solutions to the strong CP problem. This paper presents a concise review of two principal mechanisms for ALP production: photon-photon fusion and the Primakoff effect. Through quantum field theoretical calculations, we derive and analyze the corresponding scattering cross-sections, highlighting their dependence on ALP mass, coupling constants, and center-of-mass energy. Numerical simulations using realistic parameters demonstrate how ALP production varies across energy regimes and under different experimental conditions. The sensitivity of detection is evaluated, with particular emphasis on experimental setups involving high-energy proton beams and fixed nuclear targets. We also discuss the challenges in isolating ALP signals from background processes and propose directions for enhancing experimental sensitivity. This study aims to provide a comprehensive yet accessible framework for understanding ALP phenomenology and contributes to the broader efforts in probing physics beyond the Standard Model.

Effect of Storage Conditions and Plastic Packaging on Postharvest Quality of Mandarin (Citrus reticulata Blanco.) in Dhankuta, Nepal

editoraipubliucations@slideshare.net(editoraipubliucations) — Tue, 03 Jun 2025 06:17:30 GMT

Postharvest deterioration significantly affects the shelf life and marketability of mandarin fruit in Nepal. The primary causes are inadequate storage and packaging practices. This study aimed to evaluate the effects of storage conditions and plastic packaging with varying ventilation levels on the postharvest quality of mandarin fruit during storage. A laboratory experiment was conducted during January to March of 2021 to study the effect of storage conditions- room storage (15.98± 0.89 °C, 71.15± 5.80% RH), cellar storage (14.72 ± 1.20 °C, 94.28 ± 5.71% RH) and cool chamber with CoolBot (8.12 ± 0.44 °C, 79.43 ± 4.54% RH) and different plastic packaging of 25 micron: two, four, six and eight holes plastic and control (open tray). The experiment was laid out in factorial randomized complete block design with three replications. Result revealed that the lowest physiological loss in weight (9%) was recorded under CoolBot with 8 holes packaging, while the highest (23.66%) was in control under room storage. The highest total soluble solids (14.19 °brix) and the lowest titratable acid (0.88%) were observed in the control. Greater vitamin-C content was observed in CoolBot storage and 8 holes plastic packaging (27.29 mg/100g and 29.11 mg/100g respectively). The longest shelf life (91 days) was found under CoolBot storage with 8 holes plastic packaging as compared to control in room storage (32 days). Further validation across multiple seasons and commercial production settings is recommended.

Shared Links: Building a Community Economic Ecosystem under ‘The Wall’—Based on Observations of Knowledge-Payment Communities

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 29 May 2025 04:25:36 GMT

In the era of deep mediation, winning core traffic users has become the key to community management. Based on social media digital technology, community managers act as trust agents for users and capital, establishing behavioral order and habits among community users through rituals and rules. Simultaneously, community managers build emotional connections based on a sense of belonging through interactions with users and their digital labor. In knowledge-based communities on social media platforms, community managers connect four main entities: social media platforms, capital providers, paying users, and regular users. Through multidimensional interactions with each entity, they construct a diverse, symbiotic, and dynamically developing community economic ecosystem.

Design a Novel Neutral Point Clamped Inverter Without AC booster for Photo-voltaic System

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 08 May 2025 05:53:58 GMT

AC booster photovoltaic (PV) inverters are increasingly favored in grid-connected solar installations for their compact structure and enhanced efficiency. However, conventional AC booster designs often face issues with fluctuating common-mode voltage (CMV), which contributes to elevated common-mode leakage current (CM-LC) due to the absence of galvanic isolation. These challenges can negatively impact overall system performance, safety, and conformity to grid regulations. In response to these concerns, this work presents a novel Neutral Point Clamped (NPC) inverter configuration named the H6-Diode (H6-D) topology. This approach combines the low-loss switching capability of AC bypass techniques with a mechanism to effectively suppress CM-LC. A key feature of the topology is a clamping circuit that limits the freewheeling voltage to half of the DC-link level, thereby reducing leakage currents significantly. The design's validity is confirmed through detailed simulations conducted in MATLAB/Simulink and supported by experimental trials using a developed laboratory prototype.

Empowering Electric Vehicle Charging Infrastructure with Renewable Energy Integration

editoraipubliucations@slideshare.net(editoraipubliucations) — Thu, 08 May 2025 05:51:01 GMT

The escalating energy crisis, heightened environmental awareness and the impacts of climate change have driven global efforts to reduce carbon emissions. A key strategy in this transition is the adoption of green energy technologies particularly for charging electric vehicles (EVs). According to the U.S. Department of Energy, EVs utilize approximately 60% of their input energy during operation, twice the efficiency of conventional fossil fuel vehicles. However, the environmental benefits of EVs are heavily dependent on the source of electricity used for charging. This study examines the potential of renewable energy (RE) as a sustainable alternative for electric vehicle (EV) charging by analyzing several critical dimensions. It explores the current RE sources used in EV infrastructure, highlighting global adoption trends, their advantages, limitations, and the leading nations in this transition. It also evaluates supporting technologies such as energy storage systems, charging technologies, power electronics, and smart grid integration that facilitate RE adoption. The study reviews RE-enabled smart charging strategies implemented across the industry to meet growing global EV energy demands. Finally, it discusses key challenges and prospects associated with grid integration, infrastructure upgrades, standardization, maintenance, cybersecurity, and the optimization of energy resources. This review aims to serve as a foundational reference for stakeholders and researchers seeking to advance the sustainable development of RE based EV charging systems.

Anomaly Detection in Smart Home IoT Systems Using Machine Learning Approaches

editoraipubliucations@slideshare.net(editoraipubliucations) — Wed, 07 May 2025 04:17:18 GMT

The rise of smart home technology, driven by the Internet of Things (IoT), has introduced unprecedented convenience and control into daily life. However, these interconnected devices also introduce significant security challenges, particularly in anomaly detection due to their continuous data generation and heterogeneous nature. This paper investigates the application of machine learning techniques in detecting anomalies in smart home IoT environments. A comprehensive review of 20 existing approaches is presented, highlighting their strengths and limitations. A novel hybrid anomaly detection framework is proposed that integrates supervised and unsupervised learning techniques. Comparative analysis with traditional methods demonstrates the effectiveness of the proposed approach in improving detection accuracy and reducing false positives. The study concludes with potential future research directions aimed at enhancing the robustness and scalability of anomaly detection systems in smart home IoT networks.

Improving the quality of life of older adults through acupuncture

editoraipubliucations@slideshare.net(editoraipubliucations) — Tue, 06 May 2025 10:00:09 GMT

The study, titled " Improving the Quality of Life of Older Adults through Acupuncture, " investigates the impact of acupuncture on improving mobility in older adults treated in acupuncture clinics. Given the increasing aging of the Mexican population and its associated problems, such as mobility limitations and chronic conditions (diabetes, hypertension, among others), this research seeks to evaluate the efficacy of acupuncture as a complementary therapy. Methodology: A quasi-experimental design was used, with a sample of 45 patients, mostly women, who received acupuncture sessions focused on strategic points. Goniometry was used to measure changes in range of motion in various joints, including the shoulders, elbows, and wrists, before and after treatment. Results: Patients showed significant improvements in their range of motion after the sessions. Although completely normal ranges of motion were not achieved, there was clear progress in joint flexion, extension, abduction, and rotation, with increases proportional to the number of sessions completed. Conclusion: Acupuncture proved to be an accessible and effective intervention for improving the quality of life of older adults by reducing their mobility limitations, offering a cost-effective alternative, and decreasing dependence on polypharmacy.

Assessing the Linkages between Resilience and Poverty Transition among Rural Farming Households in Nigeria

editoraipubliucations@slideshare.net(editoraipubliucations) — Mon, 05 May 2025 04:38:22 GMT

Insecurity in Nigeria through terrorism, communal clashes, kidnapping for ransom and banditry have subjected many households to poverty depending on their resilience which varies from one household to the other. The unpredictability of the situation makes households' welfare status (poor/non-poor) to be transitory. The high poverty incidence recorded in the north compared to the south was corroborated by the large number of shocks experienced (58.5%) by the households. Less than half of rural households were resilient in the two waves. The majority of the resilient households were found in the south. Only a small proportion (0.35) of the households exited poverty while a large proportion remained poor. The study showed that resilience status positively influenced the exit of households from poverty in the two waves while household size and age (2018) posited a negative relationship. Membership of association and access to phones were the components of the resilience index that significantly influenced the poverty transition. The study recommends that rural households can benefit from NGOs’ sensitization campaign about the need to develop social capital (membership of association) by joining cooperatives, which serve as a means of obtaining credit in addition to improving member-to-member social interactions.

Advancements in the Classification of Diabetes Mellitus: A Systematic Review of Contemporary Approaches and Emerging Paradigms

editoraipubliucations@slideshare.net(editoraipubliucations) — Sat, 03 May 2025 04:26:06 GMT

Diabetes mellitus (DM) classification has evolved significantly, moving beyond traditional dichotomies (Type 1/Type 2) to incorporate genetic, molecular, and phenotypic heterogeneity. This review synthesizes evidence from 95 studies (2020–2023) to evaluate modern frameworks, including precision medicine-driven subtypes, latent autoimmune diabetes in adults (LADA), maturity-onset diabetes of the young (MODY), and hybrid classifications. We compare diagnostic criteria, biomarkers, and clinical utility, emphasizing the role of artificial intelligence (AI) and omics technologies. Gaps in universal standardization and equitable implementation are discussed.

Comprehensive Assessment of Physico-Chemical and Biological Parameters in Water Quality Monitoring: A Review of Contaminants, Indicators, and Health Impacts

editoraipubliucations@slideshare.net(editoraipubliucations) — Sat, 03 May 2025 04:22:23 GMT

The degradation of water quality due to anthropogenic activities and natural processes poses a significant threat to public health and ecological integrity. This review highlights the biological, chemical, and physical parameters used in water quality monitoring and emphasizes their relevance in identifying pollution sources and associated health risks. We synthesized recent literature examining the roles of key parameters such as pH, BOD, COD, DO, TDS, heavy metals, and microbial indicators (e.g., E. coli, total coliforms). Findings underscore the elevated presence of heavy metals, nutrients, and pathogenic microorganisms in many freshwater systems, especially in densely populated or industrial regions. Agricultural runoff, industrial effluents, and poor waste management practices are primary contributors to contamination. Systematic monitoring of physico-chemical and biological parameters is critical for ensuring safe water use. Implementing comprehensive water testing protocols and enforcing environmental regulations are imperative for sustainable water resource management.

Impact of Soil Microbial Diversity on Plant Growth and Decomposition

editoraipubliucations@slideshare.net(editoraipubliucations) — Tue, 22 Apr 2025 04:38:18 GMT

The diversity of soil microbes plays a vital role in supporting plant growth and accelerating the decomposition of organic matter. A rich microbial ecosystem enhances nutrient availability, promotes soil fertility, and aids in maintaining plant health. This paper examines the influence of soil microbial diversity on plant development and the breakdown of organic residues. It discusses how various microbial species, particularly bacteria and fungi, contribute to nutrient cycling and soil stability. Additionally, the study explores sustainable agricultural practices that nurture microbial communities to optimize crop yields. The findings indicate that fostering microbial diversity can lead to improved soil health and long-term agricultural sustainability.

Application of a Traffic Safety Improvement Process: A Case Study of Taichung City in Taiwan

editoraipubliucations@slideshare.net(editoraipubliucations) — Fri, 11 Apr 2025 05:50:02 GMT

This study employs the PDCA improvement process, utilizing radar diagrams, cross-tabulation, and contingency analyses to thoroughly investigate the primary causes of traffic accidents. Research findings indicate that Taichung City experienced a significant increase in traffic accidents in 2023, particularly among young adults aged 18-29 and elderly individuals aged 70-79, with a high prevalence of motorcycle-related incidents. The main contributing factors include illegal overtaking, failure to maintain safe distances, and speeding by heavy-duty vehicles, coupled with rapid population growth and increased travel during holiday periods in February and April. Taiwan's Ministry of Transportation and Communications has consistently prioritized road safety issues, implementing measures such as regulatory revisions and increased penalties, while local governments regularly review road safety assessment reports and improvement plans. The study results demonstrate that understanding the root causes of accidents enables effective resource allocation and the development of targeted policies, along with long-term effectiveness evaluations to reduce accident rates. These research findings not only hold practical value but also assist governments in swiftly implementing relevant measures to enhance road safety and effectively reduce the occurrence of traffic accidents.

A Study on the Relationship between Place Identity and Leisure Benefits for Foreign Tourists in Taiwan

editoraipubliucations@slideshare.net(editoraipubliucations) — Fri, 11 Apr 2025 05:46:30 GMT

Taiwan is one of the world’s renowned tourist destinations. The sustained growth in inbound tourism not only brings substantial economic benefits to Taiwan but also enhances global awareness and fosters goodwill among people worldwide. This study employs empirical research to examine the differences in foreign tourists’ place attachment to Taiwan and the varying levels of leisure benefits they derive from recreational activities during their stay. Additionally, it investigates the correlation between place identity and leisure benefits. The key findings reveal that among foreign tourists, environmental identity scores the highest in place identity, while commitment scores the lowest. In terms of leisure benefits, social benefits rank the highest, whereas physiological benefits rank the lowest. A significant positive correlation exists between place identity and leisure benefits, with a canonical correlation relationship observed between the two. The research findings provide a valuable reference for future studies on the travel and leisure behaviors of tourists visiting Taiwan.

A study on Impact of travel agency services on customer satisfaction

editoraipubliucations@slideshare.net(editoraipubliucations) — Tue, 08 Apr 2025 09:14:18 GMT

The travel and tourism industry has experienced significant transformations due to advancements in digital services, changing consumer behavior, and evolving market dynamics. This study examines the impact of travel agency services on customer satisfaction, focusing on key determinants such as service quality, perceived value, trust, and customer loyalty. Using a structured questionnaire, data was collected from 400 respondents who had recently availed travel agency services. The study employs Structural Equation Modeling (SEM) to analyze the relationships among variables. The findings indicate that service quality and perceived value significantly enhance customer satisfaction, which in turn strengthens customer loyalty and retention. Additionally, trust in the travel agency serves as a crucial factor in influencing satisfaction levels. The reliability analysis confirms strong internal consistency among constructs, while correlation and regression analyses highlight positive associations between independent and dependent variables. The study also discusses managerial implications for travel agencies in improving service efficiency and customer trust. Limitations include the study’s cross-sectional design and reliance on self-reported data. Future research should explore the role of emerging digital technologies such as artificial intelligence, blockchain, and virtual reality in reshaping customer experiences in the travel sector. The findings offer valuable insights for industry stakeholders seeking to enhance customer engagement and long-term relationships in a highly competitive market.

The Influence of HRP on Employee Commitment and Corporate Culture: A Study of Luxury Hotels in Delhi NCR

editoraipubliucations@slideshare.net(editoraipubliucations) — Tue, 08 Apr 2025 09:08:59 GMT

Human Resource (HR) practices of the hotel industry in Delhi NCR have undergone a drastic change in recruitment policies, talent management, technological advancements and sustainability initiatives. The purpose of this study is to explore how luxury hotels and premium restaurants are adapting their HR strategies in the selection, turnover, retention, and management of the workforce. The study synthesizes key findings from the past research using a peer-reviewed literature analysis and assesses HR challenges as well as innovative solutions by leading hotel chains. The studies focus on shift in the recruitment criteria, high attrition rate of 30-35% and the role of exclusive talent management (ETM) in shaping employee perceptions. Additionally, the findings of research stress that training, mentoring, and technology adoption have strong influence on the employee engagement and service quality. Green HRM practices have also been investigated regarding their use in employer branding and sustainable operations. In addition to the perspectives of the customers, the service quality and guestroom amenities of the hospitality sector give us other insights about the changing landscape of the sector. The results show that for maintaining competitive advantages, HR innovation must be continuous, strategic retention initiatives must be initiated, and technological integration must be achieved. The contribution of this study is to the HR trends in the hospitality industry and provides important implication for stakeholders who want to improve employee satisfaction, service quality and organizational.

Explainability and Transparency in Artificial Intelligence: Ethical Imperatives and Practical Challenges

editoraipubliucations@slideshare.net(editoraipubliucations) — Mon, 07 Apr 2025 07:32:18 GMT

Artificial Intelligence (AI) is increasingly embedded in high-stakes domains such as healthcare, finance, and law enforcement, where opaque decision-making raises significant ethical concerns. Among the core challenges in AI ethics are explainability and transparency—key to fostering trust, accountability, and fairness in algorithmic systems. This review explores the ethical foundations of explainable AI (XAI), surveys leading technical approaches such as model-agnostic interpretability techniques and post-hoc explanation methods and examines their inherent limitations and trade-offs. A real-world case study from the healthcare sector highlights the critical consequences of deploying non-transparent AI models in clinical decision-making. The article also discusses emerging regulatory frameworks and underscores the need for interdisciplinary collaboration to address the evolving ethical landscape. The review concludes with recommendations for aligning technical innovation with ethical imperatives through responsible design and governance.

Enhancing Software Development Efficiency: The Role of Design Patterns in Code Reusability and Flexibility

editoraipubliucations@slideshare.net(editoraipubliucations) — Wed, 26 Mar 2025 04:25:26 GMT

This study explores how design patterns impact software development efficiency by enhancing essential metrics such as code reusability, maintainability, scalability, flexibility, and development time reduction. Using a mixed-method approach involving literature reviews, case studies, and experimental analysis, the research evaluates the benefits of applying design patterns. The findings from comparative and statistical analyses demonstrate that design patterns significantly improve software performance. Notable improvements were observed across metrics: code reusability, maintainability, scalability, and flexibility, with development time decreasing by 25%, indicating a more efficient coding process. These results confirm the hypothesis that integrating design patterns contributes to more efficient, adaptable, and high-quality software development practices. Based on these findings, several recommendations are proposed. First, development teams should integrate design patterns into their workflows to improve software quality and development efficiency. Second, organizations are encouraged to provide training programs focused on the practical implementation of design patterns to ensure that developers can effectively utilize them. Third, leveraging supportive development tools designed to facilitate the integration of design patterns can enhance productivity and code quality. Finally, combining design patterns with modern frameworks and methodologies, particularly in complex and large-scale projects, can yield even better results. Future research is suggested to explore the application of design patterns in emerging areas such as microservices, artificial intelligence, and cloud-native architectures. Expanding the scope of design pattern implementation in these fields could provide valuable insights into their broader applicability and effectiveness. The findings from this research contribute significantly to the understanding of design patterns as a fundamental approach to achieving efficient, adaptable, and high-quality software development.