A Novel Approach for Optimization of Convolution Neural Network with Particle Swarm Optimization and Genetic Algorithm for Face Recognition

Convolutional neural networks are contemporary deep learning models that are employed for many various applications. In general, the filter size, number of filters, number of convolutional layers, number of fully connected layers, activation function and learning rate are some of the hyperparameters that significantly determine how well a CNN performs.. Generally, these hyperparameters are selected manually and varied for each CNN model depending on the application and dataset. During optimization, CNN could get stuck in local minima. To overcome this, metaheuristic algorithms are used for optimization. In this work, the CNN structure is first constructed with randomly chosen hyperparameters and these parameters are optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. A CNN with optimized hyperparameters is used for face recognition. CNNs optimized with these algorithms use RMSprop optimizer instead of stochastic gradient descent. This RMSprop optimizer helps the CNN reach global minimum quickly. It has been observed that optimizing with GA and PSO improves the performance of CNNs. It also reduces the time it takes for the CNN to reach the global minimum

Effectiveness of yoga upon stress among post menopausal women

STATEMENT OF THE PROBLEM: An experimental study to assess the effectiveness of yoga upon stress among post menopausal women in selected areas of Chennai. OBJECTIVES: 1. To find out the stress level among post menopausal women in selected areas of Chennai. 2. To assess the effectiveness of yoga among postmenopausal women. 3. To find out the association between selected variables and the level of stress among the control and experimental groups of post menopausal women. 4. To assess the level of satisfaction regarding yoga among the experimental group of post menopausal women. NULL HYPOTHESES: Ho1: There will be no significant difference in stress scores among post menopausal women before and after yoga in the experimental and control groups. Ho2: There will be no significant association between selected variables and level of stress among post menopausal women before and after of yoga in the experimental and control groups. METHODS: Conceptual framework of this study was based on Roy‘s adaptation Model of conceptualization of stress adaptation which was modified for the present study. An extensive review of literature and guidance by experts laid the foundation to the development of proforma, Perceived stress scale and level of satisfaction. An experimental approach with two group pre test and post test design was adopted for the study. The present study was conducted at selected villages in Chennai at Ayanambakkam, The sample size was 60 and they were selected randomly by simple random sampling of which 30 were assigned to the control group and 30 were assigned to the experimental group after randomization. The investigator used four types of tools to collect data from the post menopausal women. The data collection tools were validated and reliability was established. After the pilot study, the data collection of the main study was done. Yoga was administered to all post menopausal women in the experimental group for 7 days. Stress level was assessed before and after the administration of yoga for the control and experimental groups. The collected data were tabulated and analyzed using appropriate descriptive and inferential statistics. MAJOR FINDINGS OF THE STUDY: In the control and experimental groups majority of them were married (80%, 97%), house wives (73%, 87%), dependent (73%, 87%) and all of them were non vegetarian (100%, 100%). Their age group was between 51-55 (33%, 50%) and they belonged to Hindu religion (40%, 56%), illiterate (66%, 66%), living in nuclear family (67%, 47%) and had family income of < 3000 (63%, 54%). Twenty seven percentage of them in the control group and 13% of them in the experimental group were moderate workers. Forty seven percentage in the control group and 37% in the experimental group had 3 children. • In this present study majority of them had knee and joint pain (97%, 87%) and sleep disturbances (87%, 93%) in the control and experimental groups. Most of them had over weight problem (66%, 50%) and only some of them had diagnosed problems such as Hypertension (27%, 20%), Diabetes (20%, 20%). • The mean and standard deviation of stress level in pretest and post test in the control group was 39 ± 9 and 37 ± 8 (p>0.05) whereas in the experimental group it was 40 ±8 and 27± 5 (p < 0.001) which indicated that yoga is effective in reducing the stress level among postmenopausal women. Thus the null hypothesis Ho1 was rejected. • There was no association between selected demographic variables and the stress level before and after yoga in the control and experimental. • There was no significant association between selected clinical variables and the stress level before and after yoga in the experimental group. • There was no significant association between selected clinical variables and the stress level before and after yoga in the control group except for the variable of duration after menopause. • Majority of the clients were highly satisfied (77%) and significant percentage of them were satisfied (23%) with the intervention (yoga). RECOMMENDATIONS: The same study could be conducted on a large sample for longer duration to generalize the results. • A similar study could be conducted in different age groups to assess the effectiveness of yoga. • A comparative study could be conducted to evaluate the effectiveness of yoga with other relaxation techniques. • It may be conducted in different settings

Improved Accuracy by Novel Inception Compared over GoogleNet in Predicting the Performance of Students in Online Education During COVID

The goal of this research is to enhance the accuracy of predicting students' performance in online education during the Covid-19 pandemic by comparing the Novel Inception algorithm with the GoogleNet algorithm. Materials and Methods: The current research paper investigates the performance of two distinct algorithms, namely the Novel Inception algorithm and the GoogleNet algorithm, in two separate groups with 20 samples in each group. The statistical significance of the collected data was assessed using SPSS with a G-power value set at 85%. The study also explores the accuracies of these algorithms with varying sample sizes. Result: Inception algorithm provides a higher accuracy of 91.0480% when compared to GoogleNet algorithm with accuracy of 89.8860% in predicting the Performance of Students in online education during covid. With a significance value of p=0.007 (p<0.05) which comparison of Novel Inception algorithm compared over GoogleNet algorithm in preding the Performance of Students in online education with improved Accuracy. The research findings indicate that the performance of students in online education during COVID-19 can be better predicted using the Novel Inception algorithm than the GoogleNet algorithm. The accuracy of the Novel Inception algorithm was observed to be higher as compared to the GoogleNet algorithm

Correlation of Thornthwaite Climate Index (TI) with Rainfall and Suction in Houston

Abstract: Thornthwaite moisture index (TI) can be used to characterize the cyclic nature of climatic wetting and drying of soils. TI can be used to predict the active zone and suction profiles of the soil. In this study Thornthwaite moisture index for Houston was studied and compared with the annual rainfall and suction measured in the active zone

Synthesis and characterization of Sn‑doped TiO2 flm for antibacterial applications

Simple sol–gel method has been exploited to deposit Sn-doped TiO2 thin flms on glass substrates. The resultant coatings were characterized by X-ray difraction (XRD), UV–visible techniques (UV–Vis), Fourier transform infrared spectroscopy (FTIR), and photoluminescence analysis (PL). The XRD pattern reveals an increase in crystallite size of the prepared samples with the increasing doping concentration. A decrease in doping concentrating resulted in the decrease in bandgap values. The diferent chemical bonds on these flms were identifed from their FTIR spectra. The photoluminescence analysis shows an increase in the emission peak intensity with increasing dopant concentration, and this can be attributed to the efect created due to surface states. The prepared samples were tested as antibacterial agent toward both Gram-positive and Gram-negative bacteria like S.aureus (Staphylococcus aureus) and E.coli (Escherichia coli), respectively. The size of the inhibition zones indicates that the sample shows maximum inhibitory property toward E.coli when compared to S.aureus

International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS

Improved Accuracy by Novel Inception Compared over GoogleNet in Predicting the Performance of Students in Online Education During COVID

The goal of this research is to enhance the accuracy of predicting students' performance in online education during the Covid-19 pandemic by comparing the Novel Inception algorithm with the GoogleNet algorithm. Materials and Methods: The current research paper investigates the performance of two distinct algorithms, namely the Novel Inception algorithm and the GoogleNet algorithm, in two separate groups with 20 samples in each group. The statistical significance of the collected data was assessed using SPSS with a G-power value set at 85%. The study also explores the accuracies of these algorithms with varying sample sizes. Result: Inception algorithm provides a higher accuracy of 91.0480% when compared to GoogleNet algorithm with accuracy of 89.8860% in predicting the Performance of Students in online education during covid. With a significance value of p=0.007 (p<0.05) which comparison of Novel Inception algorithm compared over GoogleNet algorithm in preding the Performance of Students in online education with improved Accuracy. The research findings indicate that the performance of students in online education during COVID-19 can be better predicted using the Novel Inception algorithm than the GoogleNet algorithm. The accuracy of the Novel Inception algorithm was observed to be higher as compared to the GoogleNet algorithm

Influence of plant growth regulators (PGRs) and various additives on in vitro plant propagation of Bambusa arundinacea (Retz.) Wild: A recalcitrant bamboo species

An efficient micropropagation protocol for high frequency plant regeneration was developed using nodal explants derived in vitro seedlings of Bambusa arundinacea which is an important multipurpose and edible bamboo species and recalcitrant to tissue culture. The nodal explants excised from 20-day-old seedlings were cultured on Murashige and Skoog (MS) medium fortified with various concentrations of 6-benzyl amino purine (BAP) and kinetin (KIN) (0.5–5.0 mg/l) alone and/or in combination with 0.5 mg/l of different auxins [indole-3-butyric acid (IBA) α-naphthalene acetic acid (NAA) and indole-3-acetic acid (IAA)] for shoot bud induction. The combination of BAP (3.0 mg/l) and IBA (0.5 mg/l) was found to be the best for the highest percent of shoot bud initiation (87.2%), with 24.2 shoots/explant. The highest frequency (95.2%) of shoot bud multiplication with maximum number of shoots (90.5 shoots/culture) was noticed on medium containing 4% coconut water with 4% sucrose. The regenerated shoot buds were cultured on MS medium supplemented with various concentrations of auxins alone and/or in combination with AgNO3 (0.5–4.0 mg/l) for in vitro rooting. Maximum percent of rooting (85%) was noticed on MS medium augmented with 3.0 mg/l IBA and 2.0 mg/l AgNO3 after 14 days of culture. Well rooted plantlets obtained were established in the field with 92% survival rate. The present plant regeneration protocol could be used for large scale propagation and ex-situ conservation of this important bamboo species in the near future