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1007 articles for “extractant”
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Pharmacognostical and Phytochemical Study ofAdhahapushpi (Trichodesma Indicum Linn. R. Br.)
Abstract: Objective: To carry out pharmacognostical and phytochemical studies on each part of Adhahapushpi (Trichodesma Indicum Linn. R. Br.) belonging to the family Boraginaceae. Methods: The root, leaf, stem, flower and fruits of Adhahapushpi (Trichodesma Indicum Linn. R. Br.) were assessed for pharmacognostical studies such as macroscopic, microscopy, powder study, and quantitative microscopy. The powder was assessed for proximate analysis like ash value, extracting value, moisture content, elemental analysis, and preliminary …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing Read article
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Improvements in Analog Performance of Dual Metal Gate based Silicon-on-Insulator Junctionless Transistor with Pocket Doped Window
Abstract: This paper elucidates the impact of the pocket doped window on the analog performance of dual metal gate based silicon-on-insulator junctionless transistor (DMG SOIJLT). The analog parameters of the proposed SOIJLT are compared with DMG based conventional SOIJLT. The findings of analog performance comparison reveal that transconductance (gm), transconductance generation factor (TGF), output conductance (gd), output resistance (r0), intrinsic gain (AV), and cut-off frequency (fT) have improved for DMG PD-SOIJLT …
Published in Journal of Microelectronics and Solid State Devices Read article
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Assessing the Influence of Aggregates and Cement Type on the Properties of Roller-compacted Concrete
Abstract: Roller-compacted concrete (RCC) pavement is suitable for heavy traffic and harsh environment. In the present investigation, RCC slab samples have been prepared using two types of aggregates (crushed and rounded), and two types of cement binder (ordinary Portland and sulphate resistant). Cubes and beam specimens have been extracted from the slab samples with the aid of diamond saw. Specimens were tested for bulk density, ultrasound pulse velocity, compressive and flexural …
Published in Trends in Transport Engineering and Applications Read article
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FEA Simulation for Optimization of Laminated Composite Plate with Cutout in Free Vibrations
Abstract: Laminated composites have a large application in engineering. The work done in this study is to see the free vibration response of graphite epoxy composite square plate subjected to different boundary conditions. Finite element analysis has been done on the software ANSYS. The results obtained by the simulation have been compared with those obtained from a published data obtained by semianalytical solution. It is observed that the solutions through ANSYS …
Published in Journal of Experimental & Applied Mechanics Read article
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"Reviving Kali Bein : Addressing the Re-Pollution Sources and and Exploring Solutions for Sustainable River Management"
Abstract: All aspects of the earth’s environmental system are impacted by human assault on the planet that includes vast conversion of land use, extraction of mineral resources, use and misuse of surface water and ground water which altered the natural flow of energy and resources within the environment. This paper reviews the present position of kali ben rivulet, which flows through the state of Punjab in India, has found to be …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 1, 2023 · pp. 12–26 Read article
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Matching Minutiae Fingerprint Q-Learning Approach for Detail Coordination: Identifiable Mark Point
Abstract: The use of fingerprints for high-precision recognition and identification of people is one of the most reliable biometric symbols because it is non-invasive. In this paper, we propose an innovative approach to detect details on low contrast resolution image quality of fingerprint images. Existing algorithms are not very susceptible to sound and image excellence due to the lack of level of intensity. We recommend a reliable route to find fingerprints …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 1–15 Read article
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Preparation and Characterization of TiO2 Nanoparticles by Green Method
Abstract: In this study, we attempted to synthesize TiO2 nanoparticles utilizing titanium tetrachloride as a precursor and an aqueous extract of Sansevieria plant leaves. Atomic force microscopy (AFM), X-ray diffraction (XRD) pattern, scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and Brunauer-Emmett-Teller (BET) analysis were used to identify the synthesized TiO2 nanoparticles As per the surface topography, the average diameter of nanoparticles is considered as 67.73 nm. Debye-Scherrer equation was …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 61–67 Read article
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Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
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Effect of Energy, Lysine and Energy/Lysine Ratio on Growth Performance Nutrient Digestibility and Serum Profile of Growing Locally Adapted Turkey
Abstract: This study investigated the effects of different levels of energy, lysine and energy/lysine ratios on growth performance, nutrient digestibility, and serum biochemical indices of locally adapted turkeys. The experiment lasted for 28 days. A total of one hundred and forty-four, 4-weeks old locally adapted turkey poults were completely randomized to six dietary treatments in a 2×3 factorial arrangement, replicated twice at 12 poults per replicate. Six diets were formulated. Diets …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 01–08 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Effect of Energy/Protein Ratio and Strain on Performance, Nutrient Digestibility and Serum Biochemical Indices of Exotic and Locally Adapted Turkey
Abstract: This study investigated the response of locally adapted and exotic turkeys raised under the same environmental conditions to diets with varying energy/protein ratio. One hundred and fourty-four (144) four-week old poults of each strain of turkey were randomly selected and assigned to six different diets in a 2 x 2 x 3 factorial arrangement. Each treatment diet were replicated twice with twelve (12) birds per replicate. Diets formulated with 28 …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 2, 2023 · pp. 37–45 Read article
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Identifying sustainability traditional solutions of Dhamar house
Abstract: The world is facing numerous issues from environment pollution, from natural disasters resulting, from climate change, and from the waste of natural resources, has focused specific attention to sustainable development. The house design has different characteristics according to the culture and environmental conditions. The study attempts to answer that, is the traditional architecture of Yemen consists with the principles of sustainable architecture? Moreover, what are sustainable solutions used in the …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 01–14 Read article
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A review on antibacterial properties of eucalyptus oil and different eucalyptus species used in pharmaceuticals
Abstract: Medicinal plants with antimicrobial compounds play a crucial role in combating various pathogens. Eucalyptus, belonging to the myrtle family, is notable for its diverse antimicrobial compounds. This fast-growing plant thrives in many countries and its various parts offer significant medicinal value, including timber, pulpwood, and essential oils. The leaves, often considered forest harvesting waste, contain essential oils with potential medicinal benefits. Members of the genus Eucalyptus are highly valued for …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 10–19 Read article
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Strengthening of Hydraulic Lime with Synthetic, Organic, and Bio-Additives: State-of-the-Art Review on Eco-Friendly Construction
Abstract: Cement is acknowledged to be one of the significant modern construction materials used all over the world because of its excellent properties. Though cement dominates the construction industry, the usage of lime binder is still replaceable because of the need for restoration and repair of existing heritage structures. Though lime offers several advantages such as “breathing”, higher durability and deformability, the performance of the lime mortar is still mistrusted because …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 87–96 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Searchable Encryption Based on Key Aggregation
Abstract: The ability to selectively distribute data with individuals in public cloud services may alleviate safety concerns about inadvertent privacy violations in cloud storage. The need for flexibility in sharing specific sets of documents with various user groups requires the use of distinct encryption keys for each document. This undertaking tackles practical difficulties by presenting the notion of Key-Aggregate Searchable Encryption (KASE). Natural language processing was used to extract essential phrases …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 21–25 Read article