Training and evaluation in a large-scale virtual environment for a location-based mobile application

Virtual reality (VR) training has been applied to multiple different tasks and compared to conventional training methods. The aim of this research is to evaluate training in a large-scale CAVE-based virtual environment (VE) for a location-based mobile application designed to support an address verification task via walking. This training required a simulated neighborhood environment, a user interface for VE navigation, and communication between the VE and the mobile application. In this research, four main elements interacted together to provide the user experience: the VE, the mobile application, the task, and the user’s spatial ability. The first part of the research examined the impact of training in VR. The training was applied in two different environments with two different groups (in the field and VR). The effectiveness of training was measured using a field test for both training groups. There were statistically significant improvements in both training groups after training. There were no significant differences between the two training groups in performance (time, distance, task errors) in the testing session. The second part evaluated the interaction with the mobile application by assessing the impact of training on the use of the mobile application and the usability issues experienced with the app. Usability was measured using quantitative (taps in the application) and qualitative (usability questionnaire) methods. Results showed statistically significant improvements in app interaction in both real-world and virtual training groups where both groups reduced taps significantly in the testing session compared to the training session. There were no significant differences between the two training groups in taps in the testing session. The usability questionnaire documented issues related to feedback and map design. However, the questionnaire results showed an overall satisfaction of the usefulness and the information quality of the mobile app. The last part of the study evaluated the interaction with the virtual environment by examining users’ sense of presence and perceived distance traveled. The sense of presence was measured using a presence questionnaire. The perceived distance compared participants’ perceived travel distance with their actual distance traveled. Results showed that participants had a relatively high sense of presence in the CAVE. It was also found that participants underperceived their distance traveled in VR. This research found the large-scale CAVE-based virtual environment (VE) valuable in training and evaluation for the location-based mobile application designed to support an address verification task. These results will enable users from both academia and industry with location-based mobile applications to apply sufficient training in the context in the large-scale CAVE-based virtual environment (VE). Findings in this research enable researchers and practitioners in user experience (UX) to apply valuable evaluations of usability and interaction for location-based mobile applications using a large-scale CAVE-based virtual environment (VE)

Predicting Electrical Faults in Power Distribution Network

Electricity is becoming increasingly important in modern civilization, and as a result, the emphasis on and use of power infrastructure is gradually expanding. Simultaneously, investment and distribution modes are shifting from the large-scale centralized generation of electricity and sheer consumption to decentralized generators and extremely sophisticated clients. This transformation puts further strain on old infrastructure, necessitating significant expenditures in future years to ensure a consistent supply. Subsequent technical and prediction technologies can help to maximize the use of the current grid while lowering the probability of faults. This study discusses some of the local grid difficulties as well as a prospective maintenance and failure probabilistic model. To provide an effective and convenient power source to consumers, a high Volta protects and maintains under fault conditions. Most of the fault identification and localization approaches rely on real and reactive power converter observations of electronic values. This can be seen in metrics and ground evaluations derived via internet traffic. This paper provides a thorough examination of the mechanisms for error detection, diagnosis, and localization in overhead lines. The proposal is then able to make suggestions about the ways that can be incorporated to predict foreseen faults in the electrical network. The three classifiers, Random Forest, XGBoost and Decision tree are producing high accuracies, while Logistic Regression and SVM are producing realistic accuracy results

PERSEPSI GENERASI Z TERHADAP EKSISTENSI DEWA 19 (STUDI KASUS: MAHASISWA PROGRAM STUDI PENDIDIKAN SENI MUSIK DAN MUSIK FPSD UPI)

ABSTRAK Penelitian ini mencoba untuk mengetahui Kesadaran Generasi Z terhadap Eksistensi Band Dewa 19, melihat Keseriusan Generasi Z ketika mendengar lagu- lagu Band Dewa 19 dan menemukan faktor-faktor yang membuat Band Dewa 19 disukai oleh Generasi Z. Melihat kesenjangan usia antara Generasi Z dan Band Dewa 19, namun nyatanya Band Dewa 19 tetap mampu untuk menunjukkan eksistensinya di kalangan Generasi Z. Penelitian ini menggunakan teori persepsi kualitas yang didasarkan atas teori Kesadaran Merek, Asosiasi Merek dan Apresiasi Musik untuk mengetahui persepsi Generasi Z terhadap Eksistensi Dewa 19. Metode yang digunakan dalam penelitian ini adalah kuantitatif. Penelitian ini merupakan jenis penelitian deskriptif, Teknik Pengumpulan Data dalam penelitian ini menggunakan kuesioner/angket. Pada akhirnya, diperoleh kesimpulan bahwa Kesadaran Generasi Z terhadap Eksistensi Dewa 19 sangat tinggi, dengan respon yang cenderung emosional ketika mendengar lagu-lagu Band Dewa 19 dan terdapat 8 alasan Generasi Z menyukai Band Dewa 19. Kata Kunci: Persepsi, Kesadaran Merek, Asosiasi Merek, Apresiasi Musik, Dewa 19, Generasi Z. ABSTRACT This research tries to find out Generation Z's awareness of the existence of Dewa 19 Band, to look at the Seriousness of Generation Z when they hear the songs of Dewa 19 Band and find out the factors that make Dewa 19 Band liked by Generation Z. Looking at the age gap between Generation Z and Dewa Band 19, but in fact Band Dewa 19 is still able to show its existence among Generation Z. This study uses the theory of quality perception based on the theory of Brand Awareness, Brand Association and Music Appreciation to determine Generation Z's perception of the existence of Dewa 19. The method used in this research is quantitative. This research is a type of descriptive research. Data collection techniques in this study used questionnaires. In the end, it was concluded that Generation Z's awareness of the existence of Dewa 19 is very high, with responses that tend to be emotional when they hear Band Dewa 19 songs and there are 8 reasons Generation Z likes Band Dewa 19. Keywords: Perception, Brand Awareness, Brand Association, Music Appreciation, Dewa 19, Generation Z

IRRITANT CONTACT DERMATITIS ON HANDS AND DIAGNOSIS OF IT: A REVIEW

Hand hygiene (HH) is the single most important procedure that can be followed by healthcare workers (HCWs) to reduce the risk of spreading healthcare-associated infections. The irritating contact dermatitis (ICD) that occurs due to the rehashed presentation of HH products and technique is one reason often referred to for resistance. HH is the most vital method that can be followed by HCWs to reduce the possibility of spreading of infection in human being, followed by50% of HCWs. Limited researches are published related to different features of irritant contact disorders among HCWs. This study concentrates manly on the clinical application of irritant contact dermatitis on hands and its diagnosis based on an extensive research review process. It can be concluded from this review that by proper adherence and compliance to necessary HH techniques lead to skin damage and higher pathogen load. Therefore, it is important that HCWs should appreciate this concept and are given methods or tactics of expertise to avoid skin irritation and damage. Inability to provide proper policies, practices and guidelines to these workers may lead to adherence in case of an ICD appearance

Instagram Your Life: Why Do Female Kuwait University Students Use Instagram?

This paper examines different reasons why female students at Kuwait University use Instagram. It also explores the different gratifications that students receive through using Instagram. The current survey targeted eight hundred and six randomly chosen female undergraduate students. Results found that acceptance from others, a desire to stay informed, meeting new friends, passing time, and escapism from reality are possible reasons to use Instagram. The study shows that many of these variables are considered as strong reasons for using this platform. Sharing photos with friends was the dominant gratification recognized from using Instagram

Screening and Evaluation of Deleterious SNPs in APOE Gene of Alzheimer's Disease

Introduction. Apolipoprotein E (APOE) is an important risk factor for Alzheimer's disease (AD) and is present in 30–50% of patients who develop late-onset AD. Several single-nucleotide polymorphisms (SNPs) are present in APOE gene which act as the biomarkers for exploring the genetic basis of this disease. The objective of this study is to identify deleterious nsSNPs associated with APOE gene. Methods. The SNPs were retrieved from dbSNP. Using I-Mutant, protein stability change was calculated. The potentially functional nonsynonymous (ns) SNPs and their effect on protein was predicted by PolyPhen and SIFT, respectively. FASTSNP was used for functional analysis and estimation of risk score. The functional impact on the APOE protein was evaluated by using Swiss PDB viewer and NOMAD-Ref server. Results. Six nsSNPs were found to be least stable by I-Mutant 2.0 with DDG value of >−1.0. Four nsSNPs showed a highly deleterious tolerance index score of 0.00. Nine nsSNPs were found to be probably damaging with position-specific independent counts (PSICs) score of ≥2.0. Seven nsSNPs were found to be highly polymorphic with a risk score of 3-4. The total energies and root-mean-square deviation (RMSD) values were higher for three mutant-type structures compared to the native modeled structure. Conclusion. We concluded that three nsSNPs, namely, rs11542041, rs11542040, and rs11542034, to be potentially functional polymorphic

Molecular interaction of 4-amino-N’-(benzoyloxy)-N-(2,4- dimethylphenyl)-1,2,5-oxadiazole-3-carboximidamide with the methotrexate binding site of human DHFR, and its implication in rheumatoid arthritis

Purpose: To identify an improved lead molecule for the human dihydrofolate reductase (DHFR) inhibition that ‘sits’ in the same binding cavity as methotrexate by high throughput computationalscreening.Methods: The 3-D structure of the DHFR binding site was examined using ‘CASTp3.0’. Structure based in silico screening of about 5 million drug candidates housed in the MCULE database was performed. The obtained molecule-hits were ranked in accordance with their VINA scores, made to pass through drug-likeness filters, ΔG cut-off criterion, toxicity-checker and finally ‘zero RO5 criterion’.Results: The ‘top molecule’, namely, 4-amino-N'-(benzoyloxy)-N-(2,4-dimethylphenyl)-1,2,5-oxadiazole- 3-carboximidamide, displayed robust binding with human DHFR through 21 amino acid residues (ΔG = - 9.6 kcal/mol) while 10 of these residues were the same as those displayed by ‘methotrexate binding interactions’. It passed through relevant drug screening filters including the ‘Toxicity Checker’.Conclusion: This research work describes the molecular interaction of human DHFR with an improved lead molecule named, 4-amino- N’-(benzoyloxy)-N-(2,4-dimethylphenyl)-1,2,5-oxadiazole-3- carboximidamide, with a ΔG of -9.6 kcal/mol, thus satisfying adequate ADME features for further in vitro and in vivo validation in the context of rheumatoid arthritis. Keywords: Dihydrofolate reductase, In silico screening, Methotrexate, Rheumatoid arthritis, DHF

Identification of a putative anti-rheumatoid arthritis molecule by virtual screening

Purpose: To propose an improved chemical skeleton whose scaffolds could be used for the design of future thymidylate synthase (TS)-inhibitors against rheumatoid arthritis. Methods: The drug discovery platform, ‘MCULE’, was employed for inhibitor-screening. The ‘methotrexate-interaction site’ in the crystal (PDB ID 5X66) was used as a target. One ‘RO5 violation’ was permitted. A maximum of ‘10 rotatable bonds’ and ‘100 diverse molecules’ were also allowed in the protocol. The ‘threshold similarity cut off’ was 0.7. The input values describing the remaining parameters were kept as ‘default’. The ‘Open Babel Linear Fingerprint’ was used for the analyses of molecular descriptors, followed by ADME-check. Results: 4-(4-Methyl-1-piperazinyl)-2-phenyl[1]benzofuro[3,2-d]pyrimidine corresponding to the MCULE ID-7590816301-0-93 exhibited the overall best binding with TS. The free energy of binding was -8.6 kcal/mol. A total of 17 amino acid residues were significant for the binding interactions. Importantly, 9 residues were common to methotrexate binding. It satisfied pertinent ADME conditions. Conclusion: 4-(4-Methyl-1-piperazinyl)-2-phenyl[1]benzofuro[3,2-d]pyrimidinemay emerge as a potent seed molecule for TS-inhibitor design in the context of rheumatoid arthritis. It has satisfied pertinent ADME features. However, there is need for further wet laboratory validation. Keywords: Anti-rheumatoid arthritis, Inhibitor design, Methotrexate, Seed molecule, Thymidylate synthase, Virtual screenin