Miracle-dz/UniFAR-FTUs huggingface dataset:
Emphasized Design Thinking Approach of Facemask Detection System

Effective strategies to restrain COVID-19 pandemic need high attention to mitigate negatively impacted communal health and global economy, with the brim-full horizon yet to unfold. Wearing a mask is among the non-pharmaceutical intervention measures that can be used to cut the primary source of SARS-CoV2 droplets expelled by an infected individual. To contribute towards communal health, this project aims to devise a highly accurate and real-time technique that can efficiently detect non-mask faces in public and thus, enforcing to wear mask. In this project, we used deep learning methods for face mask detection, including pooling, and MobileNetV2 architecture, and showed the methods detection accuracy. The implementation is done in Python, and the python script implementation will train our face mask detector on our selected dataset using TensorFlow and Keras. A dataset containing 1500 or more images from various sources taken with a webcam is used to train a deep learning architecture. Index Terms – MobileNetV2, Dataset, TensorFlow/Keras, Acccuracy Generation
SMU Data Science Review SMU Data Science Review

This paper covers the development, testing, and implementation of Reinforcement Learning methods designed to autonomously learn and optimize Rocket League play. This study aims to analyze and benchmark model frameworks commonly used in Reinforcement Learning applications. These models can be applied to tasks ranging in difficulty from simple to superhumanly complex, and this study will begin with and build upon simple models performing simple tasks. It will result in complex models performing difficult tasks. Models will be allowed to train autonomously on the game using mass parallelization to expedite training times with the goal of maximizing reward function scores. This research constructs a framework to identify the best performing Reinforcement Learning model to complete this task. Multiple Reinforcement Learning methods were attempted and it was found that a Proximal Policy Optimization (PPO) model was able to learn how to play the game and consistently increase its reward function scores over time. Of all the models attempted for this game, PPO did the best job of learning how to play and it is recommended for future tasks in similar spaces.
Simplicity and Probability Weighting in Choice under Risk

We discuss the work of Fudenberg and Puri (2021), which empirically implements models that combine prospect theory and cumulative prospect theory with a “complexity cost” that captures a preference for lotteries with a smaller number of outcomes, which is one measure of how “complex” the lottery is perceived to be. Fudenberg and Puri (2021) finds that this hybrid model predicts well, and conclude that both probability weighting and complexity costs have important roles to play in predicting choices among risky alternatives. Here we present a novel speculative application of the paper’s estimates to field data, specifically a prize-linked saving account that was offered in South Africa in 2005-2008. Our work builds on the simplicity theory of Puri (2018), which extends expected utility theory by allowing the utility of a lottery to depend on the size of its support. Other work on simplicity includes Goodman and Puri (2021) and Puri (2022).
Residual stress and adhesion experiment on the capacitive MEMS power sensor based on GaAs MMIC process

Abstract This article investigates the failure due to collapse of the MEMS beams in capacitive MEMS power sensor based on GaAs MMIC process. Generally, the residual stress and adhesion are the main causes of the collapse of the MEMS beams. So, this article investigates the residual stress of the MEMS beams with an improved rotating technique. In addition, a resonant method has been used to investigate the adhesion of the MEMS beams. The measurement result shows that the buckling due to the residual stress is very small. Also, the finite analysis results show the rotating angle θ should be less than 0.12°. Thus, the collapse of the MEMS beams is mainly caused by adhesion.
Vehicle Number Plate Recognition System

1. ABSTRACT: In the era of fast-growing technologies, there is a huge demand among people for a comfortable lifestyle and travel. In the last few years, the number of vehicles on road has been explosively grown. With the increasing growth in the vehicular sector every day, the need to track individual vehicle becomes a very challenging task. The proposed project illustrates a design and development of a new efficient Vehicle Number Plate Recognition System, using image processing technology. This technology is used in various security and traffic applications. This system is implemented at residential parking entries. It aims to recognize number plates using OpenCV and to identify number plates to extract characters and digits. The objective is to increase the safety of vehicles. This technology assists in a criminal investigation and prevents the crime.
Chemical Constituents and Antimicrobial Activities of Combretumpaniculatum

Combretumpaniculatum(combretaceae), has been used widely in ethno medicine in the treatment of chronic diarrhea and dysentery, flatulence, vomiting, colic, and enlarge spleen and liver. The leaf and root of Combretumpaniculatum were pulverized and extracted by serial exhaustive method with solvents: chloroform, ethyl acetate and ethanol in order of increasing polarity, the chemical composition and the antimicrobial activities were investigated using Gas Chromatography- Mass Spectrometry (GC-MS) and Agar-well Diffusion methods respectively. The GC-MS analysis carried out on the leaves and roots extracts of Combretumpaniculatum afforded fifty compounds with the prevailing compounds as Thiirane, Urea, 1,5- Heptadiene, Carbonyl sulfide, Hydrazine, Propanamide, Guanidine, Isobutylamine, Acetic acid, Hexanoic acid, Inositol, Ethane, 5-Chlorovaleric acid and 1-Propanol. These active constituents have been reported to be responsible for many biological activities. The antibacterial analysis of the extracts revealed high activity against the tested pathogens except Pseudomonas aeruginosa staphylococcus aureus (ethylacetate leaf and root extract) and candida albicans (ethanol root). The Minimum Inhibitory Concentration of the extracts were recorded as low as 0.0078mg/ml, the results obtained confirmed that the extracts were highly bactericidal and fungicidal at low concentration. The plant Combretumpaniculatum therefore can be explored in the development of potent antibiotics.
Detection of Face Mask using Convolutional Neural Network

Recently, a huge family of various viruses, the coronavirus, has become widespread, contagious and dangerous to all humankind. By exhaling the infected breath, it spreads from person to person, leaving droplets of the virus on various surfaces and being inhaled by others to catch the infection. Therefore, it is important to protect the people around the place from this deadly virus. Everyone should take precautions such as social distance,
DOUBLE DIFFERENCE DI WILAYAH JAWA Earthquake Relocation Using the Double Difference Teleseismic Method in The Java Region Tio

Hypocenter relocation is important to obtain accurate earthquake locations for detailed tectonic structure studies, such as identification of fault plane patterns, subduction zone patterns, and plate boundary identification. One of the newest hypocenter relocation methods is the teleseismic Double-Difference (teletomoDD) method which uses spherical model coordinates and 3D seismic velocity. This research was conducted by relocating earthquakes that occurred around Java. The number of earthquakes that were relocated was 3570 from 3653 events. The results of the hypocenter relocation show a better hypocenter, namely an earthquake with a certain depth (fixed depth = 10 km) has been relocated and the distribution of the hypocenter obtained shows a subduction pattern associated with subduction patterns and active faults in Java.
Community-acquired pneumonia: comparison of three mortality prediction scores in the emergency department

Abstract Background: qSOFA is a score to identify patients with suspected infection and risk of complications. Its criteria are like those evaluated in prognostic scores for pneumonia (CRB-65 - CURB-65), but it is not clear which is best for predicting mortality and admission to the ICU. Objective: Compare three scores (CURB-65, CRB-65 and qSOFA) to determine the best tool to identify emergency department patients with pneumonia at increased risk of mortality or intensive care unit (ICU) admission. Methods: Secondary analysis of three prospective cohorts of patients hospitalized with diagnosis of pneumonia in five Colombian hospitals. Validation and comparison of the score´s accuracies were performed by means of discrimination and calibration measures. Results: Cohorts 1, 2 and 3 included 158, 745 and 207 patients, with mortality rates of 32.3%, 17.2% and 18.4%, and admission to ICU was required for 52.5%, 43.5% and 25.6%, respectively. The best AUC-ROC for mortality was for CURB-65 in cohort 3 (AUC-ROC=0.67). The calibration was adequate (p>0.05) for the three scores. Conclusions: None of these scores proved to be an appropriate predictor for mortality and admission to the ICU. Furthermore, the CRB 65 exhibited the lowest discriminative ability.
Genetic Variations within Captive Sambar Deer (Rusa unicolor) in Penajam District, East

Sambar deer (Rusa unicolor) is the largest Indonesian deer species. The largest population of captivation is located at Penajam district, East Borneo (UPTD). First population was introduced in 1990 with four individuals. The use of molecular marker was aimed to identify and characterise the level of genetic diversity within the UPTD population as well as to identify a possible of botolneck population genetic status. This study discussed the relevance of the result for management purposes of captivation. The results indicated that sambar deer populatin (n=38) had an average genetic distance (d) in population as 0.006 with nucleotide diversity (π) being 0.0159). A total of 43.48% of the population was homogeneous that showed no nucleotide differences among individuals.
Improving the security of wireless communication using trust-enabled blockchains

: Remote organizations are continually under security dangers because of countless innate weaknesses. These assaults range from straightforward forswearing of administration (DoS) assaults, to exceptionally complex dim opening, disguising and man-in-the center assaults. A large portion of these weaknesses are because of ill-advised arrangement designs, wherein rules for parcel access, hub access and switch access are not rigorously characterized. Because of these weaknesses, there is a decrease in the general nature of administration (QoS) for the remote organization. Additionally, these essential weaknesses open the organization to other optional assaults, which further debase network execution. These auxiliary assaults incorporate however are not restricted to, pernicious bundle infusion because of ill-advised trust levels, checksum negation because of parcel altering, and so forth To diminish the likelihood of these assaults, this text proposes an original trust-based blockchain controlled multiple data communication channels convention. This convention uses a circulated blockchain in view of confirmation of work (PoW) agreement for shielding the organization against security dangers. The security level of the proposed framework is additionally fortified with the assistance of trust-based directing, wherein hub energy, moderate distance and bundle sending esteems are used to keep a high QoS execution. Moreover, the QoS execution is improved through combination of multi-direct correspondence in the framework. It is seen that the proposed convention further develops security execution by 8% when contrasted with other best in class techniques, and further develops the QoS execution by 6% when contrasted with other blockchain and trust-foundation strategies.
2 Eny Ida R

Azospirillum sp. have long been known as biofertilizer for plant growth because of its capability to produce phytohormones and fix nitrogen from the atmosphere. Multifunctional Azospirillum strain Aj Bandung 6.4. 1.2 isolated in 2009 from cauliflower (Brassica oleracea) rhizosphere in Lembang, Bandung, West Java, was capable of fixing nitrogen, solubilizing tricalciumphosphate, and producing phytohormone indole acetic acid (IAA). The study aimed to modify the multifunctions of Azospirillum sp. for better capability of fixing N 2 , solubilizing P, and producing IAA using ethyl methanesulfonate and 1-methyl-3nitro-1-nitrosoguanidine (EMS) mutagen. The study was conducted at Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development (ICABIOGRAD) in 2010. The results showed that this strain was genetically mutagenized using EMS for better performance in solubilizing P , fixing N 2 (nitrogenase activity), and producing phytohormone (IAA). The optimum concentration and the length of incubation time for the process have been determined. Nine selected mutants with increasing capability to solubilize P (determined by clear-zone formation on Pikovskaya’ s medium) have been characterized for nitrogenase activities and IAA production compared to wild type Aj Bandung 6.4. 1.2. The efect of mutagenesis on IAA production and nitrogenase activities varied among the mutans. Two mutants, AzM 3.7. 1.16 and AzM 1.7. 2.12, showed superiority in the production of IAA, while two mutants, AzM 1.5. 1.14 and AzM 3.7. 1.15, were superior in nitrogenase acti vities. The EMS mutagenesis of Azospirillum sp. showed enhanced dissolving capa bility of unsoluble phosphate (tricalciumphosphate) and increased IAA production and nitrogenase activity . [
Delayed gastric emptying in nondiabetic patients with end-stage kidney disease

Abstract Objective This study aimed to assess the gastric emptying capacity in nondiabetic patients with end-stage kidney disease (ESKD) by ultrasound. Methods Consecutive hemodialysis patients with ESKD (n = 37) and healthy controls (n = 37) were enrolled. All ESKD patients underwent ultrasound examinations on the day of hemodialysis (dialysis day) and the day after hemodialysis (nondialysis day). Standard ultrasound examinations were performed after overnight fasting, immediately after a light meal, and at 6 h after a meal. The antral cross-sectional area and gastric emptying according to the Perlas grading system were evaluated. Results Compared with the controls, patients with ESKD, on both dialysis and non-dialysis days, had significantly larger antral areas when examined in the supine position (p = 0.002 and p = 0.003, respectively), but not in the right lateral decubitus position (p = 0.452 and p = 0.512, respectively). In the supine position, the antral area of ESKD patients before dialysis (8 a.m. on the dialysis day) was larger than that at the same time on the nondialysis day (p = 0.028). The controls had a Perlas grade of either 0 or 1 at 6 h after a meal, whereas five patients (13.5%) and 11 patients (29.7%) in the ESKD group had Perlas grade 2 on the dialysis and non-dialysis days, respectively. Among patients with or without delayed gastric emptying, no differences were detected in the dialysis duration or levels of biochemical markers, except blood urea nitrogen (p = 0.038) and serum creatinine (p = 0.003). Conclusion Nondiabetic patients with ESKD had significantly delayed gastric emptying. Hemodialysis might improve gastric emptying and reduce gastric emptying delay.
TÉCNICA DE OPTIMIZACIÓN COMBINATORIAL APLICADA AL DISEÑO DE REDES DE COMUNICACIÓN POR CABLE Combinatorial Optimization Technique for Cable Communication Network Design

This paper presents a specialized genetic algorithm to solve the problem of cable communication network design with the purpose of minimizing the investment cost. The mathematical model of this problem is a mixed integer non linear programming problem (PNLEM) with a combinatorial explosion of the number of possible topologies. The methodology proposed using a specialized genetic algorithm is probed in a real life test system.
Manipulations of sleep‐like slow‐wave activity by noninvasive brain stimulation

Sleep is a universal and evolutionarily conserved behavior among many animal species, yet we do not have a fundamental understanding of why animals need to sleep. What we do know, however, is that sleep is critical for behavioral performance during the waking period and for long‐term brain health. Here we provide an overview of some putative mechanisms that mediate the restorative effects of sleep, namely metabolic biosynthesis, fluid perfusion, and synaptic homeostasis. We then review recent experimental findings that advance the possibility of inducing sleep‐like slow‐wave activity (SWA) during wakefulness or enhance SWA during sleep in a top‐down manner using noninvasive brain stimulation. SWA induction and SWA enhancement are believed to recapitulate the beneficial effects of sleep independent of the actual state of the subjects. If confirmed, these observations will change the way in which we investigate the neural correlates of sleep, thus paving the way for comprehending and actively controlling its restorative function.
Glaucoma – ‘A Stiff Eye in a Stiff Body’

Abstract Glaucoma is a progressive, age-related optic neuropathy, whereby the prevalence increases sharply over the age of 60 and is associated with increased systemic tissue stiffness. On a molecular basis, this is associated with increased deposition of collagen and loss of elastin structure, resulting in aberrant biomechanical compliance and reduced tissue elasticity. Increased tissue stiffness is a known driver of myofibroblast activation and persistence, especially in chronic cellular injuries via mechanotransduction pathways mediated by integrins and focal adhesion kinases. Evidence from histological and imaging studies plus force measurements of glaucomatous eyes show that several ocular tissues are stiffer than normal, healthy age-matched controls including the trabecular meshwork, Schlemm’s canal, cornea, sclera and the lamina cribrosa. This is associated with increased extracellular matrix deposition and fibrosis. This review reports on the evidence to support the concept that glaucoma represents ‘a stiff eye in a stiff body’ and addresses potential mechanisms to attenuate this.
Risk Factors for the Development of IgE-Mediated Food Allergy in Preschool Children with Asthma.

BACKGROUND Food allergy is a component of the atopic march and may have effects on asthma. This study aimed to evaluate the risk factors for confirmed immunoglobulin E-mediated food allergies and their impact on the clinical picture in preschool children with asthma. METHODS Clinical history and allergic assessment results were obtained from medical records and analyzed retrospectively. Preschool children with asthma were included in the study and the characteristics of food allergy and asthma were evaluated. The patients were grouped as those with food allergy (Group I, n = 60) and those without (Group II, n = 98). RESULTS In patients with food allergy and asthma, the number of episodes requiring systemic steroids in the last year (p = 0.002), atopic dermatitis (p = 0.001), parental atopic disease (p = 0.009) and aeroallergen sensitivity rates (p < 0.001) was higher than patients without food allergies. The use of medium or high doses of inhaled steroids to achieve asthma control was more frequent in patients with food allergies (p = 0.014). Parental history of atopic disease [p = 0.007, odds ratio (OR): 3.27, 95% confidence interval (CI) 1.37-7.77)], atopic dermatitis (p = 0.017, OR: 2.80, 95% CI: 1.19-6.57), starting complementary food after 6 months (p = 0.004, OR: 3.9, 95% CI: 1.5-10.0) and having aeroallergen sensitivity (p < 0.001, OR: 6.01, 95% CI: 2.21-16.29) were identified as significant risk factors for food allergy. CONCLUSION Asthmatic preschool children with food allergies are more likely to have a parental atopic disease, atopic dermatitis, aeroallergen sensitivity and starting complementary food after 6 months. These patients experience more asthma attacks and need higher doses of steroids.
Residual tumor and primary debulking surgery vs interval debulking surgery in stage IV epithelial ovarian cancer

It is debated whether women with FIGO (International Federation of Gynecology and Obstetrics) Stage IV epithelial ovarian cancer should be offered primary debulking surgery (PDS) or interval debulking surgery (IDS). Furthermore, the impact of complete resection of intra‐abdominal disease (R0) despite their extra‐abdominal metastases is questioned. The objective of this study was to investigate the impact of intra‐abdominal residual tumor, Stage IVA vs IVB, the localization and number of metastases defining Stage IV disease on overall survival (OS) comparing PDS and IDS in FIGO Stage IV epithelial ovarian cancer.
Physiotherapists’ prognosis of 1-year outcome after lumbar spinal fusion - A prospective cohort study

ABSTRACT Background Physiotherapists (PTs) have an essential role in the facilitation of patients’ mobilization after lumbar spinal fusion (LSF). The aim of this study is to investigate whether PTs can predict one-year post-surgery outcome based on their first meeting with the patient immediately after LSF. Method A prospective cohort study with one-year follow-up was conducted. In the first days after surgery, the PTs from hospital wards were asked to predict the patients’ overall LSF outcome one year after surgery. One year after surgery, the patients received a questionnaire including the Oswestry Disability Index (ODI), visual analogue scales (VAS) for leg and back pain, quality of life survey (EQ-5D-3 L), global perceived effect (GPA), and satisfaction with surgery outcome (SSO). Univariate and logistic regression were used to calculate the associations between the prognosis and predictive values. Results The study included 170 patients. The analyses showed a significant association between the PTs’ prognosis and the primary outcome ODI (p < .01), VAS leg and back, EQ-5D-3 L, and GPE one-year post-surgery (p ≤ .04). However, the predictive value of the PTs’ prognosis was low (R2 ≤ 0.09). There was no significant association between the PTs’ prognosis and the patients’ SSO (p = .17; R2 = 0.01). Conclusion There were significant associations between the PTs’ prognosis and disability, pain, health-related quality of life and global perceived effect one-year post-surgery, although the associations had low predictive values. There was no significant association between the PTs’ prognosis and patients’ SSO after one year. The PTs’ prognosis should not be used as a single component in further rehabilitation planning.
Scaffold-Retained Structure Generator to Exhaustively Create Molecules in an Arbitrary Chemical Space

The construction of a virtual library (VL) consisting of novel molecules based on structure-activity relationships is crucial for lead optimization in rational drug design. In this study, we propose a novel scaffold-retained structure generator, EMPIRE (Exhaustive Molecular library Production In a scaffold-REtained manner), to create novel molecules in an arbitrary chemical space. By combining a deep learning model-based generator and a building block-based generator, the proposed method efficiently provides a VL consisting of molecules that retain the input scaffold and contain unique arbitrary substructures. The proposed method enables us to construct rational VLs located in unexplored chemical spaces containing molecules with unique skeletons (e.g., bicyclo[1.1.1]pentane and cubane) or elements (e.g., boron and silicon). We expect EMPIRE to contribute to efficient drug design with unique substructures by virtual screening.