Volume 12 | Issue 12

 Abstract

A Learning disability is sometimes referred to a specific learning disorder.From an academic perspective, the individuals with Disabilities.Education Act defines a learning disability as a problem with one or more of the basis psychological processes related to the use of understanding of spoken or writing language.A learning disability may manifest as difficult listening thinking, Speaking, Writing, Spelling, reading or doing arithmetic calculation.Learning disabilities are caused by impairments in one or more of the cognitive processes associated with learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Learning disability, cause of learning disability, symptoms, impact of learning disability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Examining the Impact of colour Schemes Inspired by Nature on the Relaxation and Well-Being of Customers in Cafes

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Eco-Score is an innovative web-based platform that combines artificial intelligence (AI), machine learning, and user-centric design to provide personalized sustainability assessments and actionable recommendations. The platform includes features such as a sustainability rating system, a carbon footprint calculator, and an AI-powered chatbot, guiding users towards more eco-friendly practices. By leveraging advanced analytics and real-time insights, Eco-Score aims to empower individuals to make informed decisions, driving positive behavioral changes and contributing to global sustainability goals.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainability, Carbon Footprint, AI Chatbot, Machine Learning, Personalized Recommendations, Eco-Friendly Practices.

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Creative Commons Attribution 4.0 and The Open Definition

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A tribe is a self-controlled unit having a distinct name, dialect, common territory, customs, primitive occupation, religion, and culture. There are more than seven hundred scheduled tribes in India. Among them few are living isolated from the outer world but many of tribes in India are in continuous connection with nearby caste system. This article will address the tribe caste nexus and its consequences. There are lots of tribal groups who are indulged in this process. To understand this process of change, Santal tribe in Ramnagar village, of Birbhum district was selected. The main objective of this paper is to clearly understand about the tribe caste nexus which leads to the assimilation of Santals with local dominant Hindu caste and its impact on tribal culture, economy and the society. The study will focus on the transition of traditional tribal society to a modern society due to observation and imitation of other caste people. Change in food habit, clothing style, religious practices, customs, culture, and occupation made life easier or created identity crisis will be a focused area of the study.

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 Keywords

Tribe, Tribe- caste nexus, Santal, Assimilation, Dominant Caste, Sanskritization,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "Let's Pause and Reflect to Prevent CAUTI" campaign underscores a strategic effort to mitigate catheter-associated urinary tract infections (CAUTIs) by equipping nursing staff with enhanced skills and fostering adherence to evidence-based practices. Conducted at Indraprastha Apollo Hospital, the initiative spanned three phases, encompassing pre- and post-campaign assessments, skill-building workshops, and innovative team engagement activities. Among 650 participants, knowledge of CAUTI prevention practices improved significantly, with test scores rising from 67% to 86.5%. This campaign's success highlights the value of targeted education, digital reinforcements, and consistent monitoring in improving patient safety and nursing competency. Sustained success calls for ongoing education, adherence to protocols, and a culture of accountability.

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 Keywords

Infection control campaign, Cather associated urinary tract infection, Nursing staff, Knowledge and practice, prevention of infection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One could argue that clove is the most potent antioxidant currently known. The U.S. Department of Agriculture created the Oxygen Radical Absorption Capacity (ORAC) test as a way to compare antioxidant activity. Clove's ORAC value is higherthan10million. A drop of clove oil contains 400 times the antioxidant power of wolf berries or blueberries. People have been aware of cloves' health advantages for thousands of years. It is an effective natural remedy for many ailments. In addition to its culinary uses, clove buds have many medicinal and recreational uses. Home kitchens account for the majority of clove spice consumption worldwide. Nonetheless, the clove is used commercially to make clove oil, which contains active ingredients with anti-inflammatory, anti-thrombotic, anti-fungal, anti-viral, anti-microbial, anti-diabetic, anaesthetic, pain-relieving, and insect-repellent qualities. The primary ingredient in clove buds that gives them their therapeutic qualities is eugenol. Given the foregoing, we felt it was worthwhile to put together a current review paper on cloves that covers their chemical components, synonyms, phytopharmacology, and therapeutic applications.

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 Keywords

Introduction, common name, Synonyms, Chemical constituents, Medicinal used

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human Activity Recognition (HAR) plays a crucial role in health monitoring, smart environments, and human-computer interaction. This study investigates four machine learning models Logistic Regression, Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU) for activity identification using mobile sensor data. The dataset comprises gyroscope and accelerometer readings from smartphones. Preprocessing techniques such as feature extraction, noise reduction, and normalization are applied to enhance model performance. The results indicate that while Logistic Regression provides a reliable baseline, ANN, LSTM, and GRU models outperform it, particularly in capturing temporal dependencies. Among the evaluated models, The GRU model delivers the best performance, achieving an accuracy of 97.2% and a loss of 0.28%.

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 Keywords

Human Activity Recognition, HAR, Mobile Sensors, Logistic Regression, Artificial Neural Networks, Long Short-Term Memory, GRU, Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kidney stones associated with pain and suffering. Kidney stone disease (KSD) (also called nephrolithiasis/or urolithiasis )is a global health issue that progresses affecting people in almost all developed and developing countries. This spread-out disease around the world carries an incidence of 5-15%. Its prevalence is considerably on the higher side with recurrence mostly after treatment. While many methods are available to treat Kidney stone disease, their prevention should be adopted to decrease the suffering and economic burden of Kidney stone disease. The pathogenesis and risk factors leading to stone formation must be known before the control measures for the formation of stones can be instituted. Less urine output and dehydration remain common risks for every type of stone, while hypercalciuria, hyperoxaluria, and hypocitraturia remain major risks for calcium stones. Thus, in this article will be find up-to-date knowledge-based strategies mainly on prevention and Kidney stone disease. Fluid intake particularly is very important (water-2.5-3.0 L/d). Diuresis has also been encouraged. With dietary restrictions, we can minimize the incidence and recurrence of kidney stones. The present review focuses on the pathophysiology and available treatment options for the kidney stones.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bioactive compound, citrate, diuresis, natural compound, nephrolithiasis, probiotics, protection, urolithiasis, Renal stones, Colic, Calcium stones, Calculi, Dietary , Lifestyle, western world , disease management , Korean and European company .

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Creative Commons Attribution 4.0 and The Open Definition

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Access to justice is a fundamental right, yet millions lack adequate legal resources. AI chatbots are proposed as transformative tools to bridge this gap by democratizing legal information access. This paper synthesizes insights from case studies, user-centric research, and technical evaluations to explore their potential. It highlights key barriers, including ethical concerns, technical limitations, and user trust issues. Emerging findings underscore the role of tailored implementations like LEGALBOT and JuridiQC's AI-based search tools in addressing these challenges. The study concludes with recommendations for optimizing chatbot efficacy in legal contexts.

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Creative Commons Attribution 4.0 and The Open Definition

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Access to Justice, AI Chatbots, Legal Information, User Trust, Natural Language Processing, Ethical Challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Flavonoids, a class of naturally occurring polyphenolic compounds, have shown significant potential in cancer prevention and treatment, particularly for lung cancer. Widely present in fruits, vegetables, and plant-derived foods, flavonoids exhibit a range of biological properties, including antioxidant, anti-inflammatory, and anticancer effects. Studies suggest that dietary flavonoids can serve as effective agents to mitigate lung cancer risk by targeting various carcinogenic pathways. The anticancer mechanisms of flavonoids involve multiple molecular pathways. They exhibit antioxidative effects by scavenging free radicals and preventing DNA damage, which can lead to mutations and tumor initiation. Furthermore, flavonoids modulate key signaling pathways such as PI3K/Akt and MAPK, inhibit cell cycle progression, and induce apoptosis in cancer cells. Notably, flavonoids target receptor tyrosine kinases (RTKs), such as EGFR and VEGFR, which play critical roles in lung cancer development. By inhibiting these receptors, flavonoids disrupt signaling cascades that promote tumor proliferation and survival. In conclusion, flavonoids offer a natural, safe, and cost-effective approach to lung cancer prevention and treatment.

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Creative Commons Attribution 4.0 and The Open Definition

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Flavonoids, Receptor tyrosine kinase, Lung cancer.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Technological developments have impacted almost every aspect of life over the past few decades and are still growing. One such technological development that is being utilized in numerous industries and has the potential to drastically alter the world is artificial intelligence (AI). Artificial Intelligence (AI) is software that has the ability to think effectively, much like a human. There are four types of artificial intelligence (AI), according to some research: systems that behave like people, think like people, and act like people. Bersin (2018) claims that AI is currently integrated into many commercial activities and found in most software applications. A particular company function is human resources (HR), whereby AI integration is occurring more rapidly with respect to various HR functions such as recruitment, orientation, and training, to mention a few. AI integration in HR will allow HR professionals to focus more on strategic duties and less on lower-value, repetitive chores, but it does not mean that AI will completely replace HR managers. As a result, the image of how AI might help streamline and reorganize HR operations for greater agility and efficiency is undoubtedly more complicated. This article, which focuses on qualitative research, aims to explain how AI has been integrated into various HR tasks and its effects on firms, employees, and HRs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI, HRM, Talent Acquisition, web based HRM, Learning and Development, HR practices

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Creative Commons Attribution 4.0 and The Open Definition

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The deployment of a powered by sunlight wireless charging system is examined in this research in order to meet the increasing demand for effective battery charging for electric cars (EVs). Since EVs are becoming a viable way to cut pollution, upgrading the infrastructure for charging them is essential to increasing customer convenience and dependability. Over the past 30 years,wireless power transfer (WPT) and solar energy harvesting have advanced significantly, especially in terms of power levels that can be used for charging. The capacity to forecast when solar energy will be most available determines how effective such a system will be reducing dependency on the grid and optimizing the usage of clean, renewable energy. By surpassing the constraints of battery technology, this study seeks to stimulate additional advancements in solar-based

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Creative Commons Attribution 4.0 and The Open Definition

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Wireless Power Transfer_(WPT), Solar energy, Electric vehicles (EVs), Wireless charging, Renewable energy, Solar-powered WPT, Battery charging, Sustainable transportation, Dynamic charging, Stationary charging, Green energy solutions

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 Abstract

With the ever-growing awareness pertaining to dental esthetics, there is greater emphasis by parents on obtaining satisfactory solutions to unsightly dental problems in their children. From the perspective of the health of permanent teeth, proper intake of diet, phonetics, space maintenance and esthetic appreciation, the significance of primary teeth cannot be ignored. It is, however, challenging to restore extensively destroyed anterior teeth with restorations that are durable, retentive, as well as esthetic owing to several factors. A strip crown is essentially a crown form filled with a composite that is bonded onto the tooth. Since these composite crowns provide superior esthetics than other forms of anterior coronal coverage restorative options and are easy to repair in case of subsequent chip or fracture, they are extremely popular for restoring primary anterior teeth. Despite the technique being used for over two decades, longitudinal clinical data on the longevity of these crowns are limited and there is a definite paucity of literature concerning the clinical success based on the extent of surface area used for adhesion and therefore in this current case report, retention was increased by giving retentive points on the buccal and palatal aspect thereby increasing the macro mechanical retention along with micro mechanical retention.

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strip crown, aesthetics, retention, early childhood caries, resin composite.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Heart disease remains one of the leading causes of mortality worldwide, necessitating the development of accurate and efficient prediction systems to enable timely diagnosis. This study evaluates the performance of four machine learning models--Logistic Regression, Decision Tree, Support Vector Machine (SVM), and Convolutional Neural Network (CNN)--for heart disease detection. The models were trained and tested on a structured dataset, and their performance was compared using metrics such as accuracy, precision, recall, and F1-score. CNN demonstrated the highest performance with an accuracy of 89%, outperforming traditional models due to its ability to capture complex data patterns. Logistic Regression and SVM achieved comparable results with an accuracy of 88%, highlighting their effectiveness in structured data environments. The Decision Tree model showed relatively lower performance with an accuracy of 85%, limited by its overfitting tendencies. This comparative study highlights the strengths and limitations of each model, providing valuable insights into their suitability for heart disease prediction. The findings emphasize the potential of CNN in delivering reliable predictions and pave the way for future enhancements through model optimization, ensemble techniques, and real-world deployment in medical applications

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heart Disease, Machine Learning, Deep Learning, Logistic Regression, Decision Tree, Support Vector Machine, Convolutional Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Machine Learning, Children's Hobbies Prediction, Forecasting, Django Framework

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Creative Commons Attribution 4.0 and The Open Definition

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Let G (p,q) be a connected, undirected, simple and non-trivial graph with p vertices and q edges. Let f be an injective function f: V(G) ->{ } and g be an injective function g: E(G) ->{d,2d,3d.....2(q-1)d}.Then the graph G is said to be (s, d) magic labeling if f(u)+g(uv)+f(v) is a constant, for all u,v?V(G). A graph G is called (s,d) magic graph if it admits (s,d) magic labeling.

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Creative Commons Attribution 4.0 and The Open Definition

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Tree, Diameter, Graph labeling, (S, d) Magic Labeling.

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Creative Commons Attribution 4.0 and The Open Definition

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This study is about the role of Veterinary Hospital Design to enhance animal care and recovery efficie in India. As there are 30 million pet dogs and 5.5 million domestic pet cats and only 25000 number of veterinary facilities in India with not such proper interior design and not focusing on the hygiene, comfort for the pets and pet owners. Therefore, it's a high - time to "design" a comfortable and hygiene veterinary hospital/clinic with stress - free environment. This research is done to create a huge impact that will play a significant role for other interior designers to work more on its designing

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 Keywords

Keywords : Interior, Veterinary Hygiene & Comfort, and Pets & client's better experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present era of the learning and education ecosystem, open and digital platforms play a vital role in improving skills efficiently. This research paper describes the impact of open and digital learning on skill improvements, highlighting accessibility issues and solutions. Literature-based research is conducted to describe how open and digital learning support skill improvement and life-long learning to reduce the skill gaps between learners with different background profiles. The results of the study show that sharing open education resources on digital platforms provides flexible access, improved quality, and personalized experience to individual learners resulting in reduced costs. However, it is still difficult compared to academic learners to access open resources from academic repositories especially those developed by industry professionals. Challenges in using open resources are also discussed along with policy implications for government organizations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skill development, digital learning, digital platform, digital skill development

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Local anesthetics (LAs) are commonly used in emergency medicine to provide immediate pain relief for minor injuries, wound suturing, or during the reduction of dislocations. Unlike general anesthesia, which causes unconsciousness by eliminating all sensation throughout the body, LAs cause only the absence of all sensation, including pain, in a particular body part without causing loss of consciousness. This review summarizes the most commonly used LAs and discusses the current state of the art of LAs.

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Creative Commons Attribution 4.0 and The Open Definition

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Local anesthetics, Pharmacology, Drug toxicity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recent advances in nano drug delivery systems (NDDS) have demonstrated remarkable potential in enhancing synergistic antitumor immunotherapy. These innovative systems, including nanoparticles, liposomes, and micelles, enable precise drug delivery by encapsulating chemotherapeutic agents and immune modulators, leading to targeted tumor accumulation through the enhanced permeability and retention (EPR) effect while reducing systemic toxicity. NDDS improve drug pharmacokinetics and modulate the immunosuppressive tumor microenvironment, promoting immune cell infiltration and enhancing tumor immunogenicity. Emerging strategies combine NDDS with immunotherapies like checkpoint inhibitors, demonstrating enhanced immune efficacy and the potential to control tumor metastasis. Chemotherapy drugs encapsulated in nanoparticles can induce immunogenic cell death while minimizing toxic side effects. Furthermore, the ability to integrate multiple therapeutic approaches--such as chemotherapy, phototherapy, and immunomodulation--represents a significant breakthrough in personalized cancer treatment. These advancements signal a promising future for more effective, targeted cancer therapies that could lead to improved survival rates and reduced relapse in patients.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Synergistic, Immunomodulation, Nanoparticles, Targeted, Precision, Multimodal,

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Creative Commons Attribution 4.0 and The Open Definition