Survey Paper on Emotion Recognition

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology. HCI research communities also use automated facial expression recognition system for better results. Various feature extraction techniques have been developed for recognition of expressions from static images as well as real time videos. This paper provides a review of research work carried out and published in the field of facial expression recognition and various techniques used for facial expression recognition

Determinants of negative preference for female fetuses amongst women of reproductive age group at rural medical college

Background: India is experiencing lowest child sex ratio of the world. The deficit of girl children has been progressively increasing, in spite of so many laws to favour them like Sharda act, act against dowry and law against female feticide, i.e. PC & PNDT. The present study attempted to explore the determinants of negative preference of female fetuses at rural setup and preferences for prevention of female foeticide.Methods: In a prospective, multicentric, cohort study, 2203 married women of reproductive age group were interviewed by pretested piloted structured questionnaire. SPSS software was used for statistical analysis.Results: Common causes for not preferring daughters were related to their marriages expenses, dowry along with exogamy and practices regarding death ceremonies of parents. Self deprived image of today’s woman by herself is mainly responsible for not allowing her to welcome another girl child in a family.Conclusions: Female foeticide is still in practice inspite of awareness programmes and existing law. Main reason for it is societal need due to marriage related customs and cultures along with unethical practices by service providers. To increase in self-esteem of women can only reduce the volume of service receiver along with upliftment of moral and ethical values of service providers from the beginning of their medical training can prevent it to happen

Lessons learned from performance of students of Pharmacology in self coded surprise test with negative marking.

Introduction: The present study aims to find the effect of instruction of negative marking in a self-coded MCQ examination on the performance of students in the subject of Pharmacology with respect to the raw score, correct score and negative score. Material and methods: This longitudinal study was conducted in the Department of Pharmacology, Rural Medical College, Loni. The Second MBBS students were exposed to a self-coded MCQ test twice by surprise. The first test (T1) was given without instructions of negative marking, while during the second test (T2) instructions for negative marking were given. The parameters of the raw score, negative score, corrected score and number of students who did not attempt respective MCQs were calculated. The number of students passing with modified Minimum Passing Level was calculated was compared with conventional Minimum Passing Level. Results: Sixty-seven students participated in the study. There was a statistically significant decrease in the raw score in the T2, while the increase in the negative score when compared with T1. The number of non-attempted questions was increased in T2. There was a statistically significant difference in the number of students passed with respect to raw score in T1 and T2, while no such difference was seen with respect to Negative score and Corrected score. Conclusion: The Corrected score and Negative score are not affected by the minimum passing level, indicating a better parameter of scoring than the raw score. Hence, the use of Negative score or Corrected score should be encouraged than the use of conventional Raw score. Keywords: Minimum Passing Level, Negative Marking, MCQ, Corrected score, Pharmacology, Formative assessment, surprise test, self-coded test

Ayurveda management of Rheumatoid Arthritis - A Case Study

Rheumatoid Arthritis is an autoimmune disease that can cause joint pain and damage throughout the body. Rheumatoid Arthritis is a chronic inflammatory disorder that can affect more on joints. As per Ayurvedic science Rheumatoid Arthritis sign and symptoms resemblance with Aamvata. Aamvata is the disease caused by impairment of Agni, formation of Ama and vitiation of Vatadosha. There is limited treatment in modern science for rheumatoid arthritis. Ayurveda treatment has the best result for Amavata. So in this case study Ayurveda treatment has used to cure Aamvata

Ayurveda management of Psoriasis - A Case Study

Psoriasis is an autoimmune disorder of skin, results in hyper proliferation of the skin. It is a chronic skin disease characterized by dry skin and raised, rough, red areas on the skin covered with fine silvery scales. A clear skin description is available in Charaka Samhita under Kushtha. Ayurved management is quite effective in Psoriasis as compared to modern treatment. The line of treatment in present given study is Shodhana and Shamana Chikitsa. Virechana therapy followed by internal medicinal treatment is considered as good management of skin disorder

Ayurveda management of Osteo Arthritis (Sandhigata Vata) - A Case Study

Osteoarthritis is the most common form of arthritis affecting millions of people worldwide. It occurs when the protective cartilage that cushions the end of your bone wears down overtime. In Ayurveda osteoarthritis correlate to Sandhigat Vata. The common sign and symptoms of this disease is present in the form of Shoola, Shotha, Vatapoornadriti Sparsha and difficulty in flexion and extension of Sandhi. In modern science the available treatment is use of NSAID, Calcium supplement and finally replacement therapy. Due to this there are large no of patients suffering from this disease come towards Ayurveda. Ayurveda treatment by its Chikitsa Siddhant gives remarkable relief in osteoarthritis. In this case study a 60 yrs patient suffering from osteoarthritis of both knee joint got good relief

IoT and Big Data Integration for Real-Time Agricultural Monitoring

The integration of Internet of Things (IoT) and Big Data technologies has emerged as a transformative force in modern agriculture. This review paper provides a comprehensive examination of the implications and applications of this integration for real-time agricultural monitoring. The paper begins by emphasizing the critical role of agriculture in global food security and economic stability, underscoring the need for innovative solutions to address the challenges facing the sector. The review delves into the key components of the integration, starting with a detailed exploration of the diverse range of IoT devices and sensors instrumental in gathering real-time data. It further emphasizes the importance of robust data handling and transmission mechanisms to facilitate timely decision-making. The significance of data fusion and aggregation processes in distilling meaningful insights from the voluminous data generated is thoroughly examined, along with the pivotal role of data analytics in driving data-driven decision-making and optimizing agricultural operations. Acknowledging the challenges associated with the integration, the review highlights the critical need for scalable systems to accommodate the evolving needs of farms. Additionally, it emphasizes the importance of prudent cost assessment for a sustainable and economically viable implementation. This review paper provides a comprehensive overview of the integration of IoT and Big Data in agricultural monitoring. By synthesizing these technologies, farmers are poised to embark on a new era of data-driven agriculture, marked by increased efficiency, resource optimization, and ultimately, enhanced global food security

Generation, annotation, and analysis of ESTs from midgut tissue of adult female Anopheles stephensi mosquitoes

<p>Abstract</p> <p>Background</p> <p>Malaria is a tropical disease caused by protozoan parasite, <it>Plasmodium</it>, which is transmitted to humans by various species of female anopheline mosquitoes. <it>Anopheles stephensi </it>is one such major malaria vector in urban parts of the Indian subcontinent. Unlike <it>Anopheles gambiae</it>, an African malaria vector, transcriptome of <it>A. stephensi </it>midgut tissue is less explored. We have therefore carried out generation, annotation, and analysis of expressed sequence tags from sugar-fed and <it>Plasmodium yoelii </it>infected blood-fed (post 24 h) adult female <it>A. stephensi </it>midgut tissue.</p> <p>Results</p> <p>We obtained 7061 and 8306 ESTs from the sugar-fed and <it>P. yoelii </it>infected mosquito midgut tissue libraries, respectively. ESTs from the combined dataset formed 1319 contigs and 2627 singlets, totaling to 3946 unique transcripts. Putative functions were assigned to 1615 (40.9%) transcripts using BLASTX against UniProtKB database. Amongst unannotated transcripts, we identified 1513 putative novel transcripts and 818 potential untranslated regions (UTRs). Statistical comparison of annotated and unannotated ESTs from the two libraries identified 119 differentially regulated genes. Out of 3946 unique transcripts, only 1387 transcripts were mapped on the <it>A. gambiae </it>genome. These also included 189 novel transcripts, which were mapped to the unannotated regions of the genome. The EST data is available as ESTDB at <url>http://mycompdb.bioinfo-portal.cdac.in/cgi-bin/est/index.cgi</url>.</p> <p>Conclusion</p> <p>3946 unique transcripts were successfully identified from the adult female <it>A. stephensi </it>midgut tissue. These data can be used for microarray development for better understanding of vector-parasite relationship and to study differences or similarities with other malaria vectors. Mapping of putative novel transcripts from <it>A. stephensi </it>on the <it>A. gambiae </it>genome proved fruitful in identification and annotation of several genes. Failure of some novel transcripts to map on the <it>A. gambiae </it>genome indicates existence of substantial genomic dissimilarities between these two potent malaria vectors.</p

Resistive Switching Property of Bmim(Br) Ionic Liquid under the Influence of ZnO Nanorods

The majority of the research work in the area of resistive switching has been carried out with the help of organic, inorganic and hybrid materials. Only a few reports investigate resistive switching properties of ionic liquid and soft materials. In this report, we have synthesized ZnO nanorods (NRs) and Bmim(Br) ionic liquid using simple and low-temperature chemical route i.e., hydrothermal and reflux method, respectively. The structural study of ZnO NRs indicates that the formation of hexagonal crystal structure, evident from the XRD pattern. The FESEM image suggested the formation of nanorods like morphology. The effect of dispersed ZnO NRs on the resistive switching behavior of Bmim(Br) ionic liquid was studied. The study explains the change in switching behavior by dispersing the different concentrations of ZnO NRs in ionic liquid. The results demonstrated that the dispersed ZnO NRs in ionic liquid plays a vital role and will be a potential active switching material for resistive switching applications

Calibration of the CMS hadron calorimeters using proton-proton collision data at √s = 13 TeV

Methods are presented for calibrating the hadron calorimeter system of the CMS detector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities |η| < 3 and are positioned inside the solenoidal magnet. An outer calorimeter, outside the magnet coil, covers |η| < 1.26, and a steel and quartz-fiber Cherenkov forward calorimeter extends the coverage to |η| < 5.19. The initial calibration of the calorimeters was based on results from test beams, augmented with the use of radioactive sources and lasers. The calibration was improved substantially using proton-proton collision data collected at √s = 7, 8, and 13 TeV, as well as cosmic ray muon data collected during the periods when the LHC beams were not present. The present calibration is performed using the 13 TeV data collected during 2016 corresponding to an integrated luminosity of 35.9 fb⁻¹. The intercalibration of channels exploits the approximate uniformity of energy collection over the azimuthal angle. The absolute energy scale of the central and endcap calorimeters is set using isolated charged hadrons. The energy scale for the electromagnetic portion of the forward calorimeters is set using Z→ ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy