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1990 articles for “D’Alembert’s principle” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical applications. Inspired by natural photonic systems such as photosynthetic light-harvesting complexes, rhodopsin-based photoreceptors, butterfly wings, and bioluminescent organisms, researchers have developed advanced nanostructures capable of efficient photon capture, energy transfer, and photoinduced charge separation. Recent advances in synthesis techniques, including hydrothermal, solvothermal, microwave-assisted, and green synthesis approaches, have enabled precise control over the size, surface chemistry, and optical properties of CQDs. Functionalization and heteroatom doping further enhance their photophysical performance and application versatility. In optoelectronics, CQDs have been incorporated into photodetectors, solar cells, light-emitting diodes, and flexible electronic devices due to their tunable emission characteristics and efficient charge transport properties. In the biomedical field, CQDs are increasingly utilized for targeted drug delivery, bioimaging, biosensing, and photodynamic therapy because of their excellent fluorescence behavior and biological compatibility. Furthermore, bioinspired photonic nanomaterials are being explored for artificial photosynthesis and sustainable energy conversion systems, where efficient light harvesting and electron transfer are critical. This review highlights recent developments in the synthesis, photophysical properties, and multifunctional applications of CQDs and related bioinspired photonic nanomaterials, while discussing current challenges and future opportunities for the development of intelligent nanophotonic and bioelectronic technologies.
Abstract: Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 16–24 Read article
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Live Epidemiological Tracking of COVID-19 in Senegalese Participants of the Hajj
Abstract: Background: Since the COVID-19 outbreak, global efforts have focused on controlling the disease. However, intense cross border movements pose a risk for the emergence of new SARS-CoV-2 strains. A recent example is the detection of cases among the 2024 Senegalese pilgrims returning from Mecca, Saudi Arabia. Investigations of these cases have revealed genomic evolution of the virus. The lack of surveillance may lead to the emergence of high-threat strains. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 8–16 Read article
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Clinical study on dual plating for delayed unions and nonunions of distal 1/3 and diaphyseal-metaphyseal transition of humerus
Abstract: Background: The best treatment for delayed union and non-union at distal 1/3 and metaphyseal-diaphyseal transition of humerus is not well established. We collected retrospective and prospective outcomes data for patients undergoing open reduction and internal fixation for delayed union and non-union of distal 1/3 and metaphyseal-diaphyseal transition of humerus with use of conventional mono-lateral or dual plating. Methods and Material: Over a 2-year period, 35 patients underwent open reduction and …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 10–15 Read article
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Drug Discovery and Design: Focus on computational approaches used in the discovery and design of new drugs
Abstract: Computational approaches have revolutionized the field of drug discovery and design, offering efficient and cost-effective strategies for identifying and developing new therapeutics. This review article explores the application of computational methods in drug discovery, with a focus on virtual screening techniques, molecular docking, molecular dynamics simulations, and quantitative structure-activity relationship (QSAR) models. Virtual screening plays a crucial role in narrowing down large chemical libraries by utilizing ligand-based and structure-based approaches. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 26–30 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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Enhancing security and Efficiency in cloud Data De-duplication through re encryption
Abstract: Data de-duplication technologies have been widely used by commercial cloud storage providers since they are helpful and essential in addressing the growing data expansion. To enhance and guarantee the security of sensitive information provided by users in the outsourced storage mode, numerous secure data de-duplication techniques have been developed and employed in diverse settings. Several scholars have been drawn to secure and efficient re-encryption for encrypted data de-duplication systems, and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 1–8 Read article
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Design and Development of a Multifunction FPGA-based Data Acquisition System using Nonlinear Duty-cycle Modulation Technique
Abstract: AbstractA new generation of DAQ based on duty-cycle modulation technique is presented. It describes the design and prototyping of a FPGA-based data acquisition and signal generation board using the duty-cycle modulation technique and with computer-based software interface. The system is built around the DE0-Nano development board that embeds an Altera cyclone IV FPGA in which a NIOS II processor running at 100 MHz has been instantiated. The conversion technique from …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 3, 2019 · pp. 8–26 Read article
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The Safety of Dental X-ray Machine against the Deoxyribonucleic Acid (DNA): In Vitro Model Explores the Effects of Chlorine Free Radical, Duration of Exposure and the Doses of Irradiation
Abstract: Background: Patients attended to the dental clinics are referred to X-ray which may arise the possibility of adverse reactions upon oral mucosa. X-ray-induced oral mucosa damage is related to the generation of the free radicals in the aqueous media of the cells. Objectives: This study aimed to clarify the safety of dental X-ray exposure by utilizing an in vitro experimental model of calf-thymus double strands DNA (ctdsDNA) molecule exposed to …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 2, 2019 · pp. 23–28 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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Demodex spp. (Acari: Demodicidae) Infestation in Humans: Diagnostic Clues and Therapeutic Approaches to Primary and Secondary Demodicosis.
Abstract: Demodicosis represents an inflammatory dermatosis and adnexal disorder arising from pathologic overgrowth of Demodex mites, primarily Demodex folliculorum and Demodex brevis, which are ubiquitous human ectoparasites residing in pilosebaceous units and eyelid margins. Once regarded as benign commensals, these mites are now recognized as primary drivers or key cofactors in diverse clinical phenotypes, including papulopustular eruptions, pityriasis folliculorum, rosacea-like disorders, blepharitis, meibomian gland dysfunction, and exacerbations of comorbid dermatoses such …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 12–20 Read article
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The DVB-H Standard: Comparative Analysis of The Results Obtained for Various Modulation techniques and Different Code Rates
Abstract: DVB-H happens to be the technical specification for the transmission of digital TV to mobile telephones and PDAs - handheld receivers. Published as a formal standard DVB-H is a physical layer specification designed to facilitate the efficient delivery of IP-encapsulated data over terrestrial networks. The creation of DVB-H, which is closely related to DVB-T, also entailed modifications of some other DVB standards dealing with data broadcasting, service Information, etc. It …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 8–18 Read article
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First Insights into Whole Genome Sequencing of the Mycobacterium tuberculosis Complex: Molecular Diversity and Drug Susceptibility Patterns in Senegal
Abstract: Background: We conducted a bibliographic analysis of the Mycobacterium tuberculosis complex (MTBC) in sub-Saharan Africa, which included the analysis of 8,139 genomic sequences from 34 of the 49 sub-Saharan African countries. Notably, only one complete sequence from Senegal was identified, which had been generated in the United States. Our primary objective was to utilize whole genome sequencing (WGS) to detect resistance in anti-tuberculous strains of the MTBC in Senegal. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
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Hybrid Deduplication for Secure Data Sharing Using Erasure Techniques and HIDC
Abstract: Data deduplication has an important role in reducing storage consumption to make it affordable to manage in today’s explosive data growth. To overcome the problems occurring in the cloud a system is proposed, in which History Aware Inline De-duplication algorithm for checking duplicity of data before uploading it on the server is used. MD5 algorithm is used to generate the hash value of the data. Also, erasure coding is used …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 34–39 Read article
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Drive Cycle Database Method for Performance of Vehicles Depending on Driver Behavior, Vehicle Type and Traffic Condition
Abstract: Automobile manufacturers are looking for cheap ways to evaluate their products for specific customer needs as more demands are placed on their performance. The drive cycle is a crucial component of the vehicle development process. The driving cycle is used to understand the driving patterns of vehicles which also shows vehicle speed and road conditions by collecting data points along the way. A Global Positioning System (GPS)-based system was used …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 20–29 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Diet-Driven Enhancement of Immune Resilience, Disease Resistance, and Performance: Mechanistic Insights, Nutritional Interventions, and Implications for Sustainable Dairy Development
Abstract: This review synthesizes current knowledge on how dietary strategies can strengthen immune resilience, improve disease resistance, and enhance productive performance in dairy systems while advancing sustainable development. Immune function in dairy cattle is profoundly influenced by nutrition, with energy, protein, essential amino acids, fatty acids, vitamins, minerals, and bioactive compounds playing critical roles in shaping both innate and adaptive immune responses. Suboptimal nutrition impairs immune competence, increases susceptibility to infectious …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 15–24 Read article
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Optimizing Die Corner Radius of Deep Drawing Die
Abstract: The process of deep drawing plays a vital role in the production process of different parts in various process environments. Even though there is lot of variations in the production of parts during deep drawing with conventional processes to the latest automations in the manufacturing. There is a need to develop different die designs by varying input processes parameters for the deep drawing process in an optimum manner. The objective …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 22–32 Read article