Search
1990 articles for “D’Alembert’s principle” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
-
A Ventilated Dual-Function Photonic–Phononic Metasurface for Simultaneous Passive Radiative Cooling and Low-Frequency Noise Mitigation in Building Envelopes: Conceptual Design and Computational Feasibility Analysis
Abstract: Acoustic metamaterials for sound insulation and photonic/radiative-cooling metamaterials for passive thermal management have each matured separately for building-envelope retrofit, but existing studies address ventilation, acoustic damping and radiative thermal control in isolation, and no reported unit-cell architecture co-designs all three within a single shared structure. This gap persists because materials that are acoustic absorptive are generally dense and structurally opaque, whereas materials that are highly solar-reflective are conventionally applied to …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
-
Dye Sensitized Solar Cells Based on Extracted Natural Dyes and Synthetic Dyes with Nanocomposite Material
Abstract: Producing dye sensitised solar cells in their original colours required a number of different techniques. Plants and berries were used to extract these dyes. The DSSCs were manufactured by recycling the old dyes. It was clear that the efficiency of the power conversion was deteriorating. TiO2 mesoporous films' potential applications were also studied. This study employed electrochemical impedance spectroscopy to examine the interactions of natural dyes with TiO2. Bi2O3 nanoparticles …
Published in Journal of Polymer & Composites Read article
-
Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
-
A Review on Nano-emulsion for Delivery of Anti-cancer Drugs
Abstract: Cancer disease is characterized by abnormal cell growth. Malignant growth treatments have progressed significantly, yet there is a requirement for development in particularity and feeling of dread toward foundational harmfulness. Nanotechnology is the reconciliation of nanoscience into medication by the utilization of nanoparticles. The appearance of nanoscience in disease conclusion and treatment will assist clinicians with better surveying and oversee patients and further develop the medical care framework and administrations …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 7–13 Read article
-
Lamivudine And Dolutegravir Simultaneous Dosage Forms Determined and Validated Using The RP-UPLC Method
Abstract: RP-UPLC has been used to produce a straightforward, precise, and accurate approach for the simultaneous estimation of dolutegravir and lamivudine in a pharmaceutical dose form. A HSS C18 column of 2.8 x 50 mm and featuring particles with a size of 1.6 μm was used to process the chromatogram. A mixture of 70:30 Buffer Na2HPO4 and methanol made up the mobile phase, which was pushed across the column at a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 5–13 Read article
-
Enhancing Peptic Ulcer Therapy: Innovations in Mucoadhesive Drug Delivery
Abstract: Peptic ulcer disease is still a sincere gastrointestinal demand makes medication administration difficult because of the harsh and changing stomach environment. This paper investigates the potential of using mucoadhesive drug delivery devices to improve the accuracy and effectiveness of peptic ulcer therapies. Due to the inherent characteristics of mucoadhesive drug delivery systems, localized and sustained drug release is made possible by their extended contact and adherence to the gastrointestinal tract's …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 62–76 Read article
-
Advancements in Antiviral Therapeutics: Strategies and Challenges in the Development of Drugs and Vaccines for Viral Diseases
Abstract: Viral infections continue to pose a significant threat to global health, leading to high rates of illness, death, and economic burden. The constantly evolving nature of viruses, along with the rise of drug-resistant strains, underscores the need for continuous advancements in antiviral treatments. This review highlights the pivotal role of antiviral drugs and vaccines in mitigating the impact of viral infections, showcasing recent breakthroughs and exploring emerging technologies. Key advancements …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 32–36 Read article
-
Review of Ayurvedic Drugs on Acid-peptic Diseases Regarding Its Personalized Management
Abstract: Acid-peptic Disease (~Amlapitta) is an illness wide-spread all around the world. In Ayurveda, Vidahi (which cause burning) and Pitta (dosha responsible for metabolic activities) aggravating diet and stressful –sedentary life-style has been stated as one of the leading cause for acceleration of Amlapitta. Detailed reviewing of drugs given in Ayurvedic texts are done according to specific stage of disease, Amlapitta Dosha predominance, chronicity, associated conditions, dosage, Anupana etc. Screening the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 24–38 Read article
-
Global Burden of Major Depressive Disorder: Prevalence, Diagnosis, and Impact: A Comprehensive review
Abstract: In this review, we will discuss about the major depressive disorders on the basis of neurobiological changes. MDD, a prevalent psychiatric condition, manifests as a complex interplay of genetic, environmental, and physiological factors with a substantial impact on individuals and societies globally. Here the clinical assessment is fully based on diagnosis and the statistical manual for mental disorder, 5th edition (DSM-5). The pathophysiology involves Diagnosis alterations in neurotransmitter systems, dysregulation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 54–62 Read article
-
Description of The Tapeworm Anomotaenia Cohn, 1900 (Fam: Dilepididae) in Homing Pigeons Columbae liva and Domestic Chicken Gallus gallus domesticus
Abstract: The current study was carried out in the Governorate of Najaf from January 2023 to March 2023, and 20 tapeworms, Anomotaenia sp., were isolated from the intestines of 10 exporter pigeons (Columbae liva) and the intestines of 5 local chickens (Gallus gallus domesticus). morphological characteristics tapeworms were studied by examining the head area, mature segments and the choral data segment using optic microscope. The current study aimed to study the …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
-
Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
-
Nanotechnology-Driven Drug Delivery: A Comprehensive Review of Current Trends and Future Directions
Abstract: Nanotechnology has revolutionized drug delivery systems, offering profound advancements in precision, efficiency, and targeted therapeutic interventions. This review examines the revolutionary influence of nanotechnology on medical therapies, focusing on advancements, such as precise drug delivery, improved solubility, and responsive treatment systems. These advancements have significantly improved treatment efficacy and minimize side effects, particularly in oncology and chronic disease management. The development of nanoparticles designed for specific cell targeting and environmental …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 24–46 Read article
-
Design And Implementation of Anti-Interference Low Power Double-Edge Trigger Flip-Flop Based On C-Element
Abstract: Double-Edge Triggered Flip-Flops (DETFFs) will use a lot more power when there are glitches and interference in the signal input. This work proposes an anti-interference low-power DETFF based on C-elements to efficiently lower the power consumption. This DETFF employs an enhanced C-element, which successfully filters input signal glitches, avoids redundant transitions within the DETFF, and lowers the transistor's charge and discharge frequencies. To lower its latency, the C-element has additionally …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 36–44 Read article
-
Analysing the Deep Hole Drilling Characteristics of AISI 316 Alloy Using Peck Drilling Approach
Abstract: This study aims at the deep hole drilling characteristics of AISI 316 alloy utilizing the Peck drilling procedure. It is well-established that hole is the most prevalent machining process, requiring precise techniques to achieve optimal cutting conditions. AISI 316 has high corrosion resistance and mechanical features. It is widely utilized in the aerospace, vehicle, aircraft, and other industries. Due to its high modulus of elasticity, reactivity at high cutting speeds, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 14–28 Read article
-
Microneedles: An Innovative Drug Delivery System
Abstract: Microneedles represent a groundbreaking innovation in drug delivery systems, offering a transformative alternative to conventional hypodermic needles and transdermal patches. This advanced technology combines the precision and efficacy of needle-based delivery with the convenience and pain-free nature of patches, creating a minimally invasive platform that addresses many limitations of traditional drug administration. Microneedles are designed to penetrate the stratum corneum – the skin’s outermost layer – without reaching pain-sensitive nerves …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 60–67 Read article
-
DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
-
Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
-
A New Computational Method for Dust and Gas Dynamics in Protoplanetary Discs
Abstract: The simultaneous evolution of dust and gas in protoplanetary discs regulates essential events in planet formation, such as dust accumulation, migration, and the initiation of gravitational instabilities. Nevertheless, precisely modelling this interaction continues to provide a significant computing problem owing to the extensive variety of spatial and temporal scales involved. In this study, we introduce an innovative computational framework for simulating dust-gas dynamics in protoplanetary discs, integrating a two-fluid hydrodynamical …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 35–46 Read article
-
Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article