Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine

Classroom communication involves teacher’s behavior and student’s responses. Extensive research has been done on the analysis of student’s facial expressions, but the impact of instructor’s facial expressions is yet an unexplored area of research. Facial expression recognition has the potential to predict the impact of teacher’s emotions in a classroom environment. Intelligent assessment of instructor behavior during lecture delivery not only might improve the learning environment but also could save time and resources utilized in manual assessment strategies. To address the issue of manual assessment, we propose an instructor’s facial expression recognition approach within a classroom using a feedforward learning model. First, the face is detected from the acquired lecture videos and key frames are selected, discarding all the redundant frames for effective high-level feature extraction. Then, deep features are extracted using multiple convolution neural networks along with parameter tuning which are then fed to a classifier. For fast learning and good generalization of the algorithm, a regularized extreme learning machine (RELM) classifier is employed which classifies five different expressions of the instructor within the classroom. Experiments are conducted on a newly created instructor’s facial expression dataset in classroom environments plus three benchmark facial datasets, i.e., Cohn–Kanade, the Japanese Female Facial Expression (JAFFE) dataset, and the Facial Expression Recognition 2013 (FER2013) dataset. Furthermore, the proposed method is compared with state-of-the-art techniques, traditional classifiers, and convolutional neural models. Experimentation results indicate significant performance gain on parameters such as accuracy, F1-score, and recall

PEMBINGKAIAN BERITA TENTANG DUGAAN PENISTAAN AGAMA DI MEDIA ONLINE (ANALISIS FRAMING MODEL ZHONGDANG PAN DAN GERALD M. KOSICKI PADA BASUKI TJAHAJA PURNAMA DI MEDIA KOMPAS.COM PERIODE 4 NOVEMBER – 30 NOVEMBER 2016)

This study aims to explan how to "frame" the news reported by the media framed in conveying a phenomenon, at this point is the case of the Alleged Blasphemy of Religion by Ahok in the Kompas.com Online Media Edition November 2016. Suspected Cases Blasphemy occurred when Ahok gave statement to the community in the Thousand Islands. Ahok quotes the Holy Qur'an and is spread on social media and reported in print, TV, radio and online media. The method used in this research is qualitative research by collecting data through news clippings about "Alleged Blasphemy by Ahok" in media kompas.com November 2016 edition. The analytical method used is framing analysis developed by Zhongdang Pan and Gerald M. Kosicki starting from Syntactic structure, Script structure, Thematic structure, and Rhetoric. The results showed that the framing carried out by Kompas.com against the statement of Ahok containing blasphemy and kompas.com gave the impression to the reader that Ahok must be processed with the applicable law

Kecemasan Pandemi COVID-19 dengan Produksi dan Kelancaran Pengeluaran ASI Ibu Post Partum

This study aims to analyze the relationship between anxiety during the COVID-19 pandemic with the production, expenditure, and smoothness of postpartum mothers' milk at the Syamtalira Aron Health Center. The research method is an analytic survey using a cross-sectional design. The results showed no significant relationship between the anxiety of the COVID-19 pandemic and postpartum mothers' milk production. Also, there is no meaningful relationship between pressure during the COVID-19 pandemic and the release of breast milk. However, there is a relationship between anxiety during the COVID-19 pandemic with breastfeeding for mothers in the working area of the Syamtalira Aron Health Center. Conclusion: Anxiety in the postpartum period must be overcome so that breastfeeding is smooth.   Keywords: Breastfeeding, Anxiety, COVID-19 Pandemic, Post Partu

Evaluation of the Occlusal Contact between the Opposing Teeth and the Cusp of Carabelli in Maxillary Permanent First Molars in Patients Visiting Peshawar Dental College

Background: The Cusp of Carabelli is a small additional cusp which is situated on the mesiopalatal surface of first maxillary molars. This nonfunctional cusp comes in many forms including furrows, ridges or pits and is collectively known as the Carabelli trait Objective: To evaluate the frequency of the occlusal contacts between the accessory cusp of Carabelli and the opposing arch tooth among both genders in patients attending the out-patients department of Peshawar Dental Hospital, Peshawar Methodology: This descriptive cross-sectional study was conducted on 300 subjects visiting the OPD of Peshawar Dental Hospital from October 2022 to December 2022. The sample size was calculated using WHO formula N=p(100-p)z2/d2 (Http://www.fao.orgThe age group selected for the participants was from 13-30 years. Consecutive sampling technique was used.). Articulating paper was used to assess the occlusal contacts caused by the cusp of Carabelli. The data were analyzed using SPSS version 20. Pearson’s chi square test was applied to analyze the data. P value of ≤ 0.05 was considered statistically significant. Results: The results of the current study showed that 10.7% of the participants experienced occlusal contacts caused by the presence of their accessory cusp with the opposing arch tooth with no statistically significant difference between genders. Conclusion: The cusp of Carabelli is the most prevailing variation found on the palatal aspect of mesiopalatal cusp of permanent maxillary first molars in a hospital-based inhabitants of Peshawar with rare occlusal contacts experienced by the patients. Key words: Cusp of Carabelli, Maxillary permanent first molars, Occlusal contact

Musculoskeletal manifestations in alkaptonuria: A cross-sectional study

This study aimed to determine the patient characteristics and clinical presentation of Alkaptonuria cases reported by the Biochemical Genetics Lab.An observational study was conducted at the Biochemical Genetics Lab. Alkaptonuria patients were diagnosed based on the homogentisic acid peak in urine and their demographics and clinical data collected from to 2013 to 2019. Clinical history related to joint diseases, ochronotic presentation, and urine darkening on standing was collected.During 7 years, 21 Alkaptonuria cases were reported from BGL; mean age 19.4 ± 24.5 years (range 0.2-66 years) and male to female ratio of 2:1. Of the total, only 9 were adults (mean age, 44 ± 12 years). Most adult patients had musculoskeletal involvement, with joint pain (n = 9) and ochronotic pigmentation (n = 6), whereas all patients presented with a history of urine darkening on standing (21/21 cases).The high prevalence of musculoskeletal involvement observed in patients with albuminuria is likely to be missed by physicians unless specifically tested for in such cases

Variability in depth of curve of Spee and its associated skeletal and dental implications in population of Pakistan: A cross sectional study

Background and Aim: The curve of Spee (COS) is a physiological entity in human dentition. A functional masticatory system necessitates an appropriate occlusal curvature. The primary objective of this investigation was to assess the skeletal and dental parameters in individuals with variation in the depth of curve of Spee. Materials and Methods: A total of 276 patients with pre-treatment lateral cephalograms and dental cast models were investigated in the Orthodontics and Dentofacial Orthopedics Unit of a Tertiary Care Hospital of Mardan, Pakistan from January 2021 to December 2022. Patients with no prior history of orthopedic treatment for functional jaw, prosthodontic treatment, no prior history of cleft lip and palate and cranio-facial disorders were enrolled. Ethical approval was obtained and all the patients were categorized into three groups based on the depth of curve of Spee (COS):  Group-I (flat curvature < 2 mm), Group-II (normal curvature 2-3 mm), and Group-III (deep curvature > 3 mm). Lateral cephalometric analysiswas done to measure the four angular and four linear parameters. Molar relation, overbite, COS depth, and overjet were measured based on the occlusal classification. SPSS version 27 was used for data analysis.&nbsp

Effective removal of reactive and direct dyes from colored wastewater using low-cost novel bentonite nanocomposites

The present study was aimed to remove direct violet-51, reactive green-5, reactive red, and acid red dyes by novel bentonite clay nanocomposites prepared using sodium metasilicate and potassium ferricyanide. The effect of temperature, pH, adsorbent amount, contact time, and initial concentration were studied to optimize the removal process. Various adsorption isotherms (Temkin, Freundlich isotherm, Langmuir isotherm, Harkin Jura, and Dubinin Radushkevich models) and kinetic models (pseudo-first order and pseudo-second order) were applied to adsorption data to find out the best fit model, i.e., Freundlich isotherm and pseudo-second order model. The prepared samples of bentonite nanocomposites were characterized using scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). Bentonite treated with sodium metasilicate and potassium ferricyanide removed 96.6% of direct violet-51 dye, bentonite treated with sodium metasilicate removed 95%, bentonite treated with potassium ferricyanide removed 94%, and pure bentonite removed 80% of the dye from the solution

Effective Removal of Reactive and Direct Dyes from Colored Wastewater Using Low-Cost Novel Bentonite Nanocomposites

The present study was aimed to remove direct violet-51, reactive green-5, reactive red, and acid red dyes by novel bentonite clay nanocomposites prepared using sodium metasilicate and potassium ferricyanide. The effect of temperature, pH, adsorbent amount, contact time, and initial concentration were studied to optimize the removal process. Various adsorption isotherms (Temkin, Freundlich isotherm, Langmuir isotherm, Harkin Jura, and Dubinin Radushkevich models) and kinetic models (pseudo-first order and pseudo-second order) were applied to adsorption data to find out the best fit model, i.e., Freundlich isotherm and pseudo-second order model. The prepared samples of bentonite nanocomposites were characterized using scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). Bentonite treated with sodium metasilicate and potassium ferricyanide removed 96.6% of direct violet-51 dye, bentonite treated with sodium metasilicate removed 95%, bentonite treated with potassium ferricyanide removed 94%, and pure bentonite removed 80% of the dye from the solution