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75 articles for “MF”
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Clinical Spectrum and Prognosis of Patients with Septic Shock
Abstract: Septic shock is the leading cause of mortality in hospital patients. Closer observation and early treatment can influence the outcome. The present study is undertaken to study the pattern of sepsis and the factors affecting morbidity and mortality in adult patients with septic shock in the ICU. Adult patients admitted in ICU, Mamata General Hospital, Khammam, with diagnosis of sepsis during one-year period from August 2012 to September 2013 were …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 1, 2014 · pp. 1–4 Read article
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Performance of Speaker Recognition System in Mismatching Speaking Style
Abstract: Analysis of speaker recognition system under different speaking style and mismatch conditions is presented. Generally, in text independent speaker recognition system, the way of speaking style used remains the same in training and testing phase. Whisper speech is generally used quietly to convey secret information or to avoid disturbing others in quiet place, so hearing of speech is limited to nearby listener only. Source of excitation and vocal tractsystem contains …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 58–65 Read article
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An Overview and Comparative Study of Speech Recognition Techniques
Abstract: The easy way of communication between machine and human being is automatic speech recognition. Automatic speech recognition in different languages is one major research areas in signal processing field. Accuracy in SR is an important challenge in the research work. This paper discusses researches in the SR field in the past 60 years and gives an overview on SR process, types of speech, approaches, classifiers such as dynamic time warping …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 7–12 Read article
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Utilization of Saccharomyces cerevisiae for Enhanced Electricity Generation during Domestic Wastewater Treatment via Microbial Fuel Cell Technology
Abstract: Abstract:The viable, cost-effective and energy-efficient wastewater treatment remains a curious concern among scientists. Microbial fuel cell (MFC) can offer such elegant solutions. MFC is an electrochemical system that converts chemical energy of chemical compounds into electricity via metabolic activities of microorganisms. MFCs are cost-effective methodology for wastewater treatment due to removal of contaminants from wastewater while at the same time producing electrical power. The wastewater, which is a source of …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 1, 2015 · pp. 45–50 Read article
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An Immunohistochemical Study to Assess the Role of Myofibroblasts in Diagnosing and Predicting the Outcome of Oral Squamous Cell Carcinoma
Abstract: Background: Squamous cell carcinoma (SCC) accounts for approximately 94% of all oral malignancies, hence establishing oral squamous cell carcinoma (OSCC) as one of the top 10 most prevalent malignant tumors. Cells with several functions, such as macrophages and myofibroblasts, play a vital role in the biological behavior of tumors. This study aimed to assess and evaluate the prevalence of myofibroblasts (MF) and macrophages in SCCs occurring in the oral region. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 13–17 Read article
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A Review Paper on Lean Manufacturing Implementation Techniques
Abstract: Lean manufacturing was initially designed to reduce waste and maximise resource usage. Later, lean wasdeveloped in response to the competitive and ever-changing business environment. Organizations are compelled to deal with difficulties and complications because of the business environment's rapid change. The ability of any business, whether manufacturing- or service-focused, to consistently and methodically adapt to these changes in order to increase the value of its products may ultimately determine whether …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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Clinical Classification of Knee OA Severity Using WOMAC and its Association with Fear of Falling and Functional Capacity
Abstract: Aim: To determine whether clinically classifying knee osteoarthritis (OA) using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) is as effective as radiological classification. Methodology: A total of 36 subjects with diagnosed knee OA who visited the physiotherapy OPD of ESI Hospital, Basaidarapur, New Delhi, India, were included in the present study. Procedure: Subjects were screened for cognitive ability using Mini-Mental State Exam (MMSE), fear of falling using Modified …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 32–38 Read article
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Efficacy of Home Based Progressive Resistance Exercise Program Verses Aerobic Exercise Program in Improving Quality of Life in Elderly Subjects
Abstract: The purpose of the present study is to compare the effectiveness of resistance training versus aerobic training for reduction of cancer related fatigue and improvement in quality of life. A comparative study. Participants were selected from The Government Cancer Hospital, Agartala and few private cancer clinics. A total of 20 subjects were recruited for the study on the basis of inclusion and exclusion criteria after signing the informed consent form. …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 3, Issue 1, 2014 · pp. 11–19 Read article
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A Novel Analysis of Artificial Intelligence in Mechanical Engineering Application
Abstract: In this study, we have tried to explain the crucial role of Artificial Intelligence (AI) in the running of mechanical industry. The technology used these days in the machines is to aid the solution towards the real-world problems and complex situations. Many AI algorithms have been able to provide the solution to many engineering approaches. The importance of the artificial intelligence has automatized the mechanical engineering with smart machines and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 35–38 Read article
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A New Systematic Approach of Using SVM, KNN, PNN and CNN to Achieve Higher Accuracy for Classification and Recognition of Music Genre
Abstract: In order to overcome challenges like finding songs that are similar, figuring out which cultures would enjoy particular music, conducting surveys, and using music as therapy, classification and recognition of music genres are essential. The expansion of music-related content available online has created new opportunities for the development of music referral systems, which support user communities in searching, finding, sharing, and producing digitally. Our aim is to develop a systematic …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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In- silico Design of Novel Inhibitors for Benzimidazole Receptor against Cryptosporidium parvum
Abstract: Cryptosporidium parvum is an obligate, intracellular, protozoan parasite belonging to the phylum Apicomplexa. Cryptosporidium parvum is increasingly being recognized as an important pathogen causing diarrhea in children, with the highest associated morbidity and mortality, especially among children in developing countries. The highest prevalence of cryptosporidiosis has been documented in children aged 6–12 months. 3D QSAR studies were carried out on benzimidazole derivatives to identify new improved possible inhibitors. kNN-MFA methodology …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 2, 2015 · pp. 1–10 Read article
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Peroxide Modification of Polyolefins and Long Chain Branching and Molecular Weight Distribution Comparative Studies Thereof using HTGPC
Abstract: AbstractThe modification of polypropylene by combined use of peroxides and multifunctional components (MFC) is widely carried in order to introduce the long chain branching in the polymer. The presence of long chain branching in the polymer structure have effect on the processability, the melt strength and hence, the end-use of polyolefin polymers. The high temperature gel permeation chromatography (HTGPC) is widely used technique in the estimation of molecular weight, molecular …
Published in Journal of Polymer & Composites · Vol. 4, Issue 1, 2016 · pp. 9–15 Read article
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BREAKDOWN VOLTAGE TEST OF DIFFERENT SOLID INSULATING MATERIALS USING ARTIFICIAL NEURAL NETWORK MODEL
Abstract: In this paper we are presenting Artificial Neural Network (MFNN) model which has different possible inputs affecting the breakdown voltage that are working temperature, the insulating material thickness, dielectric strength of insulating material, volume resistivity of materials, dissipation factor, conductivity of materials, and the materials relative permittivity that also predicts the breakdown voltage as a function of all these inputs parameters. It is important to train the Artificial Neural Network …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 22–29 Read article
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3D-QSAR Studies, Molecular Docking and Adme Property Prediction of Mannosyl Triazoles Used as Potent Antiadhesives of Uropathogenic E. coli
Abstract: Urinary tract infections (UTIs) are among the most common infectious diseases, accounting for almost five million cases annually and causing considerable morbidity and mortality. Escherichia coli is a commensal inhabitant of the mammalian large intestine and the most common cause of UTIs in humans. Increasing incidence of antibiotic-resistant E. coli causing up to 95% of these infections, calls for additional therapeutic considerations. In this study, 3D-quantitative structure-activity relationship (3D-QSAR) analysis …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 6, Issue 1, 2016 · pp. 26–33 Read article
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Significance of Butyrophilin Gene in Relation to Milk Constituents in Dairy Animals
Abstract: Abstract Butyrophilin (BTN1A1) has been classified as member of transmembrane proteins of immunoglobulin family. BTN1A1 is a QTL candidate gene having role in milk production and composition (fat) in dairy animals. The gene product BTN1A1 has function during secretion of milk fat and its expression is tissue specific in lactating mammary tissue. Butyrophilin gene constitutes of a more than 40% by weight of total protein and synthesized as a peptide …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 6, Issue 1, 2017 · pp. 24–30 Read article
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Classifying Abnormalities in Heartbeat Sound
Abstract: Heartbeat sounds play a major role in the detection of various diseases such as heart disease, hyperthyroidism, and high blood pressure in their early stages. In the proposed method, various abnormal and healthy heartbeat audio signals are given as input and the features are extracted using MFCC (mel-frequency cepstral coefficients). Then, a deep learning approach is applied in which the MFCC audio signals are sent to the CNN (convolutional neural …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 24–31 Read article
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Development of Polymer-Based Sensors for Speech Emotion Recognition
Abstract: Traditional SER research often utilizes microphones with polymer components like Diaphragms and Membranes. Within some microphone designs, polymer membranes which plays a crucial role in converting sound pressure into electrical signals. The paper highlights the application (speech emotion recognition) and have tried to find polymer-based sensors. This work further delves deeper, investigating the performance of the CatBoost algorithm for emotion recognition in voice assistants designed for Indian languages. The research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 268–274 Read article
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Principal Component Analysis Based Dominant Features Selection Method for Speaker Identification
Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 33–45 Read article
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Efficient Masked Face Recognition Methods using Deep Learning
Abstract: Covid-19 questioned not only people's health but alsoconventional scientific systems. Due to face masks that were made mandatory to wear, the existing cognitive systems failed to perform in real-time scenarios. The demand to develop face recognition systems that detect people even when they wore masks was naturallyhigh. Deep learning techniques help to solve this problem, working efficiently in detecting user face features and comparing them with a known image database. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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Emotion Recognition based on Human voice tones
Abstract: In this period of technology and automation, human interaction with machines has become an unavoidable occurrence. Machines are making our lives much easier, stretching their hands wherever it is possible for smoother operation of various tasks. Emotion recognition system is one of the system that can help humans for a much easier and meaningful interaction with machines. It can be used in various branches such as artificial intelligence, health care, …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 1–5 Read article