A Self-Diagnosis Medical Chatbot Using Artificial Intelligence

To lead a good life healthcare is very much important. But it is very difficult to obtain the consultation with the doctor in case of any health issues. The proposed idea is to create a medical chatbot using Artificial Intelligence that can diagnose the disease and provide basic details about the disease before consulting a doctor .To reduce the healthcare costs and improve accessibility to medical knowledge the medical chatbot is built. Certain chatbots acts as a medical reference books, which helps the patient know more about their disease and helps to improve their health. The user can achieve the real benefit of a chatbot only when it can diagnose all kind of disease and provide necessary information. A text-to-text diagnosis bot engages patients in conversation about their medical issues and provides a personalized diagnosis based on their symptoms. Hence, people will have an idea about their health and have the right protection

A low-frequency, high-amplitude, torsional oscillator for studies of quantum fluids and solids

We introduce a low-frequency torsional oscillator suitable for studies of quantum fluids and solids. It operates at frequencies of ∼100 Hz, achieves velocities of several cm s−1, and exhibits a quality factor of Q ≃ 3×10^4. In order to achieve such velocities at this relatively low frequency, the oscillator amplitude must exceed 100 μm, which would be impracticable for a conventional capacitor-driven device where the drive is applied parallel to the main motion and there are correspondingly large changes in the separation of the capacitor plates. For the different geometry of the oscillator that we now describe, however, the separations of both the drive and detect capacitor plates remain constant regardless of the amplitude of oscillation. We discuss its design, and report our initial tests of its performance

Benzyl Triethylammonium Chloride As An Inhibitor For The Corrosion Of 430 Stainless Steel In Hcl Solution

Abstract: The inhibition effect of Benzyl Tri ethyl ammonium chloride on the corrosion behavior of 430 stainless steel in 1.0 M HCl as corrosion medium is investigated by mass loss method. The maximum inhibition efficiency is found to be 79% at 303 K. The investigation of adsorption isotherms indicates that the inhibition process fit Langmuir isotherm, fairly well. The surface morphology has been analysed by SEM and EDAX

Popping characteristics of paddy using microwave energy and optimization of process parameters

Microwave popping characteristics of a particular variety of paddy were studied using a domestic microwave oven. The experiments were carried out at 4 levels of moisture content (around 13%, 14%, 15% and 16% wb), 3 levels of power (600 W, 850 W and 1000 W) and 5 levels of heating time (40 s, 60 s, 80 s, 100 s and 120 s). A general factorial experiment design was followed, and effect of different treatment combinations on popping percentage and expansion ratio of the paddy was evaluated. The maximum popping percentage of 63.47% was obtained at a moisture content of 14.15% and energy level of 80 kJ (1000 W and 80 s) while the maximum expansion ratio of 4.42 was obtained at 14.94% moisture content and energy level of 68 kJ (850 W and 80 s). Optimum values of microwave power, time of heating and moisture content of paddy were achieved at 1000 W, 80 s and 15%, respectively, corresponding to popping percentage and expansion ratio of 58.73 and 3.58.</p

Biosynthesis, characterization, and evaluation of bioactivities of leaf extract-mediated biocompatible gold nanoparticles from Alternanthera bettzickiana

The objective of the study was to synthesize gold nanoparticles (Au NPs) using leaf extract of Alternanthera bettzickiana (A. bettzickiana). The biosynthesized Au NPs were characterized using UV–vis spectroscopy, X-ray Diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), Energy dispersive X-ray analysis (EDX), Zeta potential and Transmission electron microscopy (TEM). Morphologically, the Au NPs showed spherical shaped structures. Size distribution of Au NPs calculated using Scherrer’s formula, showed an average size of 80–120 nm. Au NPs were studied for invitro anti-bacterial and cytotoxic activities. Au NPs exhibited significant anti-microbial activity against Bacillu subtilis, Staphylococcus aureus, Salmonella typhi, Pseudomonas aeroginosa, Micrococcus luteus, and Enterobacter aerogenes by agar well diffusion method. The cytotoxic effect of the biogenic synthesized Au NPs against A549 human lung cancer cell lines provided a vigorous evidence of anticancer activity of Au NPs. Further, the toxicity study of the green synthesized Au NPs on Danio rerio (Zebra fish) embryo was evaluated. This study reports that colloidal Au NPs can be synthesized by simple, non-hazardous methods and that bio-synthesized Au NPs have significant therapeutic properties. Keywords: Gold nanoparticles, A. bettzickiana, Zebra fish embryo, Antibacterial, SE

Soil Texture Prediction Using Machine Learning Approach for Sustainable Soil Health Management

Soil in the earth acts as a foothold for all crops. Soil texture is the most important soil health indicator being used for the selection of crops, mechanical manipulation, irrigation management, and fertilizer management. The texture of the soil influences the storage and flow of air and water within the soil, as well as root development, the accessibility of plant nutrients, and the activities of different microorganisms. These factors collectively impact the soil's fertility, quality, and soil health. A conventional method of soil texture analysis is cumbersome, time-consuming, and labor-intensive. Machine learning (ML) is a newly emerging technique being used to assess the soil's physical, chemical, and biological properties quickly in real-time. This is an eco-friendly approach since it does not involve any hazardous chemicals. Machine learning can learn complex features and predict nonlinear properties. Convolutional Neural Networks (CNN) employs convolutional layers to automatically learn features from the input data and is widely used in image classification, object detection, and image generation tasks in a short time. Soil texture images are given as input dataset after the completion of image subsetting, data preprocessing, and Image augmentation. This gives a CNN-based soil texture predictive model with a reliable accuracy of 87.50% at a lower cost

Прямокутна антена з прорізами (IMSRP) для дводіапазонних (28/38 ГГц) 5G MM Wave додатків

П’яте покоління (5G) телекомунікацій — це перспективна технологія, яка ще має стати глобальною для ефективного та найшвидшого способу зв’язку. Така система бездротового зв’язку має розширені можливості для різних антенних систем із багатьма входами та багатьма виходами (MIMO), зосереджуючись на низьких і високих частотах та меншому підсиленні на міліметровій частоті. Діапазони частот мають більше можливостей від 28 до 150 ГГц із найпростішим поколінням 5G для вищих швидкостей передачі даних. Пропонується отримати одноелементну антену, яка працює в двох різних діапазонах частот мм-хвиль 5G [n257 (28 ГГц) і n260 (38 ГГц)]. Прототип побудований на підкладці Duroid-5880, що має діелектричну проникність 2,3 і значення тангенса втрат 0,00092. Прототип резонує на частотах 28 і 38 ГГц спектру, щоб отримати кращі зворотні втрати, ніж звичайні. Запропонована антена – IMSRP (Inverted Matchstick Slotted Rectangular Patch) становить 9,84 дБл на частоті 28 ГГц і 1,1195 дБл на 38 ГГц у двох діапазонах для 5G. Загальні проектні параметри антени становлять 16,5 x 20 x 0,508 мм. Відсутні дефекти у наземній частині, створеної для резонансу для подвійних діапазонів міліметрового діапазону частот зв’язку 5G.The fifth generation (5G) of telecommunication is a promising technology that is yet to become globalized for the effective and fastest mode of communication. This wireless communications system has an extended entail for different Multiple Input Multiple Output (MIMO) antenna systems, focusing on low and high, and less gain, also at millimeter frequency. The frequency ranges have more capability varying from 28 GHz to 150 GHz with the easiest generation of 5G for higher data rates. A mono-element antenna working over the two different 5G mm-Wave frequency bands [n257 (28 GHz) and n260 (38 GHz) bands] is proposed to obtain. The prototype is built upon Duroid5880 substrate having a permittivity of 2.3 and Loss tangent value of 0.00092. The prototype resonates at 28 GHz and 38GHz of the spectrum to yield better return loss than conventional. The proposed antenna- Inverted Matchstick Slotted Rectangular Patch (IMSRP) is implemented to be 9.84 dBi at 28 GHz band and 1.1195 dBi at 38 GHz by dual band for 5G. The overall designed parameters of the antenna are 16.5 x 20 x 0.508 mm, also does not have any defective in the ground portion made to resonate for dual bands of millimeter wave frequency band of 5G communication

A Review on Bridging Molecular Biology and Ecological Dynamics through Integrative Approaches in Zoology

The integration of molecular biology with ecological dynamics has emerged as a transformative approach in zoology, enhancing our understanding of biodiversity, ecosystem health, and the adaptive responses of species to environmental changes. This review synthesizes key developments and methodological innovations at the intersection of molecular biology and ecological dynamics, highlighting the application of DNA barcoding, environmental DNA (eDNA) analyses, molecular phylogenetics, and advanced computational models in elucidating complex biological interactions and evolutionary patterns. Significant advancements include the use of high-throughput sequencing technologies and CRISPR-Cas systems that have expanded our ability to explore genetic diversity and manipulate genetic material for conservation purposes. The review discusses the predictive capabilities of integrative models that combine genetic with ecological data, offering insights into species resilience and ecosystem stability under varying environmental scenarios. Challenges in data integration, such as issues of scale, complexity, and the necessity for interdisciplinary cooperation, are critically examined. Technical limitations related to data management and ethical considerations in the use of genetic information are also explored. Looking forward, the review identifies emerging technologies and their potential impacts on ecological and conservation biology, emphasizing the need for policies that support sustainable management and conservation strategies. This review underscores the profound impact of integrating molecular biology with ecological dynamics, which not only enhances our scientific understanding but also provides practical frameworks for addressing global environmental challenges