Miracle-dz/UniFAR-FTUs huggingface dataset:
COURSE, TEACHER AND TUTORIALS RATINGS: WHAT STUDENTS HAVE TO SAY?

The study hypothesises that with increased or better ratings or scores on course, teacher and tutorial characteristics, the students’ performance is assumed to be better. Students learn more in an environment where these abovementioned characteristics are graded better on a scale by students. Based on the statistical analysis, the findings point out a low agreement of students towards course and tutorial characteristics while the majority of students are in high agreement of teacher characteristics are just right. There are no such differences in opinions between master and bachelor programme about course, teacher and tutorial characteristics. Study finds a strong association between overall performance of teacher and teacher characteristics but course and tutorial characteristics are not significantly affecting the overall performance of the teacher. However, this relationship is weaker when compared to teacher characteristics but still, course and tutorial characteristics are positively associated with the overall performance of the
Efficient high-performance subspace-based tracking problems

In this paper, we discuss some issues relevant to efficient, high performance subspace based tracking problems. Efficient subspace updating has been widely applied to target tracking problems. In this paper, we discuss a linear frequency modulated (FM) signal model for approximating slowly time varying narrowband signals that frequently arise in subspace based tracking problems. We also discuss the appropriateness of forward-backward (FB) averaging for increasing the efficiency of subspace updating. We then derive bias expressions for the peak locations of a discrete time Fourier transform spectrum of a linear FM signal. Finally, simulations confirm our bias expressions, and show that FB averaging can enhance the time varying frequency estimation performance of MUSIC over that of forward only averaging.
Incomplete Regulation and Spatial Equilibrium in the Offshore Oil and Gas Industry

How effective is local regulation when production occurs in a global market and capital is mobile? When environmental regulations differ between regions capital may relocate, resulting in spatial misallocation and ‘leakage’ of pollution and profits. In this paper I build an empirical framework to study incomplete regulation in a decentralized capital market, where capital is mobile and production occurs across multiple locations. The model extends the spatial location-choice and matching literature in industrial organization to accommodate two-sided vertical firm heterogeneity. Using novel contract and location data, I apply the framework to the global market for deepwater oil rigs. Offshore rigs are marine vessels that move around the ocean drilling wells, matching with oil companies like BP and Chevron to produce wells. Local changes in drilling standards and other regulations spur equilibrium rig relocation. The main policy finding is that incomplete regulations, such as unilateral increases in drilling standards, cause large shifts in profits and (expected) oil spilled to other markets through the capital relocation channel. In contrast, I find that more complete regulation like a coordinated global agreement on drilling standards would be significantly more effective than uncoordinated policies. ∗Department of Economics, Arizona State University. Email: nvreugde@asu.edu. This is a heavily revised chapter from my dissertation. Thank you to my advisors Rob Porter, Mar Reguant, and Gaston Illanes, and seminar audiences at Northwestern, for helpful comments on earlier versions of this paper. Thank you also to Adam Spencer, and participants at IIOC 2021, AERE Summer Conference 2021, and NASMES 2021, for useful suggestions.
Electrical resistivity tomography at the DOE Hanford site

Recent work at the DOE Hanford site has established the potential of applying Electrical Resistivity Tomography (ERT) for early leak detection under hazardous waste storage facilities. Several studies have been concluded to test the capabilities and limitations of ERT for two different applications. First, field experiments have been conducted to determine the utility of ERT to detect and map leaks from underground storage tanks during waste removal processes. Second, the use of ERT for long term vadose zone monitoring has been tested under different field conditions of depth, installation design, acquisition mode/equipment and infiltration chemistry. This work involves transferring the technology from Lawrence Livermore National Laboratory (LLNL) to the Resource Conservation and Recovery Act (RCRA) program at the DOE Hanford Site. This paper covers field training studies relevant to the second application for long term vadose zone monitoring.
A comparison of follicle mite (Demodex) collection methods

Demodex is a genus of microscopic mites that live on human hosts, feeding on sebum and dead skin. They are classified as arachnids with an elongated abdomen that allows them to dwell in pores and hair follicles. The mites do not commonly cause any problems but a diseased state may arise if their population suddenly increases, leading to rosacea, blepharitis, and general dermatitis. Collecting the mites can be difficult and two collection methods were compared. The first method was spreading super glue onto a microscope slide and adhering it to the forehead for five minutes. The second was done by scraping the area on the forehead and transferring the debris onto another slide. For the eight participants, only one Demodex was found overall, using the super glue method. Our study concluded that, although mostly ineffective, the super glue method was best to collect and observe Demodex from human skin.
Microbiological Trends of Candidemia and Antifungal Susceptibility Pattern: Seven Year’s Experience at a Multi Super-Specialty Center in Northern India

Introduction: The threat of Invasive fungal infections has been increasing in the contemporary health care scenarios, with candidal infections being the most common. Candidal bloodstream infections (BSIs) account for one‐fourth of the nosocomial BSIs. Candida albicans once the most common has now been replaced by nonalbicans Candida (NAC), accounting for majority of cases of candidal infections. The knowledge and understanding of specific risk factors, epidemiology, prophylactic measures, and outcomes with relation to speciation are changing rapidly. Emergence of antifungal resistance is a cause of concern. With this background, a retrospective study was undertaken. Aims and Objectives: To isolate Candida spp. from blood cultures of patients with clinically diagnosed or suspected septicemia; to determine incidence of candidemia; to identify and speciate Candida isolates and carry out the antifungal susceptibility test. Materials and Methods: This retrospective study was conducted at the Department of Microbiology, CMC and Hospital, Ludhiana from January 2014 to December 2020. Blood cultures received during this period by BACTEC automated culture system; Becton Dickinson were included in the study. The positive blood culture bottles were cultured on Sabouraud dextrose agar. Recovered Candida isolates were speciated and antifungal susceptibility testing was performed as per Clinical and Laboratory Standards Institute guideline (CLSI). Results: A total of 396 out of 52, 066 blood cultures were culture positive for Candida species. Therefore the overall prevalence rate of isolation of Candida species was 0.76% in our study. The incidence of blood stream infection caused by Non albicans Candida species (72.98%) was higher than Candida albicans (27.02%). Among NAC spp. Candida tropicalis (28.28%) was the most common, followed by Candida parapsilosis (18.94%), Candida glabrata (11.87%), Candida krusei (9.09%), and Candida gullermondii (4.30%) and Candida dubliniensis (0.5%). Candida spp. demonstrated higher resistance to azole group of antifungal agents, as compared to amphotericin B. Resistance was significantly higher among NAC spp. , Itraconazole, Clotrimazole, Fluconazole, Ketoconazole and Amphotericin B46.37%, 42.21% 39.10%, 34.60%, and 4.15%, respectively. Conclusion: Species-level identification of Candida and their antifungal sensitivity testing should to be performed to achieve better clinical result and to select an appropriate and effective antifungal therapy. High resistance to antifungal agents is an alarming sign to the healthcare professionals.
Efficient Detection of Link-Flooding Attacks with Deep Learning

The DDoS attack is one of the most notorious attacks, and the severe impact of the DDoS attack on GitHub in 2018 raises the importance of designing effective defense methods for detecting this type of attack. Unlike the traditional network architecture that takes too long to cope with DDoS attacks, we focus on link-flooding attacks that do not directly attack the target. An effective defense mechanism is crucial since as long as a link-flooding attack is undetected, it will cause problems over the Internet. With the flexibility of software-defined networking, we design a novel framework and implement our ideas with a deep learning approach to improve the performance of the previous work. Through rerouting techniques and monitoring network traffic, our system can detect a malicious attack from the adversary. A CNN architecture is combined to assist in finding an appropriate rerouting path that can shorten the reaction time for detecting DDoS attacks. Therefore, the proposed method can efficiently distinguish the difference between benign traffic and malicious traffic and prevent attackers from carrying out link-flooding attacks through bots.
Traffic Sign Detection using YOLOv4

: Traffic sign detection is an important aspect of autonomous vehicles, this helps in avoiding accidents. In this project, a deep learning model is implemented with YOLO's (You Look Only Once) latest version YOLOv4. YOLO is one of the fastest object detection algorithms for real-time detection. In YOLOV4, CSPDarknet54 is used which acts as the backbone, this promotes the learning capability of CNN. We prepared two models, one that was trained on the GTSDB dataset and another on an independently made dataset consisting of 4 classes. We achieved a 92% mAP on the GTSDB dataset and 94.40% mAP on the CSST dataset.
A study of children's fingerprint enhancement & recognition

: This Security plays a very vital role in one‟s life. Biometrics consists of methods for uniquely recognizing humans based upon one or more physical or behavioral Parameters. The children must have their unique identity after birth itself. Every child possesses all the physical & behavioral parameters of biometric system which have been developed based on fingerprints, facial features, voice, hand geometry, handwriting, iris and retina etc. The children identification based on these parameters is possible now. The unimodal biometric employs single biometric trait (either physical or behaviour trait). The children identification based on fingerprint recognition is coming into limelight these days. This gives the child security from the risk of children trafficking, sold prostitution, kidnapping etc where sometimes the identity of children is lost because of face injuries, acid attacks etc.
Assessing the security of cryptographic primitives for infinite groups

This paper considers the application of group theory to cryptography using a non-abelian inﬁnite group (the braid group). The practical application of cryptographic protocols are determined by their security and feasibility. Both research papers and experiments will be used to measure feasibility and security of the protocol, with the intention of ultimately deeming the protocol either effective or ineffective. Having secure cryptography is vital to providing anonymity, conﬁdentiality and integrity to data and as the quantum threat creeps towards us, the ever greater importance of new secure cryptography is becoming clear.
Controle dependente de parâmetros para uma classe de sistemas não-lineares incertos com atuadores saturantes

This paper presents some results on the stabilization by a parameter dependent control law of a class of nonlinear discrete-time systems with some time-varying parameters and under control saturations. The studied control law consists of the feedback of both the states and of the nonlinearity present in the dynamics of the controlled system. Saturations are taken into account by modeling the nonlinear saturated system through a deadzone nonlinearity satisfying a modified sector condition. Thus, LMI stabilization conditions are proposed, which can be cast into convex programming problems to synthesizing the gain matrices that allows to construct the parameter dependent control law. The presented numerical example shows some performance issues and compares the proposed parameter dependent control law with a fixed parameters one.
Characteristics of acoustic echo cancellers using sub-band sampling and decorrelation methods

An acoustic sub-band echo canceller offering high speech quality has been implemented. Echo cancellation in excess of 40 dB was obtained over the 7 kHz frequency band in the hardware with 4000-tap FIR filters. It was confirmed using a decorrelation algorithm that the convergence speed for coloured signals was about three times faster than the conventional NLMS algorithm.
Dois ensaios sobre pobreza e desenvolvimento econômico nos municípios brasileiros

SCARABOTO, Nícolas Volgarine. Two essays on poverty and economic development in brazilian municipalities. 2021. 61f. Dissertation – Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, 2021. Although expermenting decline over the past decades, the number of people living below the poverty line is still alarming. According to IBGE, in 2015, the number of people below the poverty line was 13.5 million Brazilians, around 6.5% of the population. In addition to the material deprivations imposed on individuals, poverty can impair cognitive and socioemotional development, especially of children, with reflections on human capital. Thus, understanding the dynamics of poverty is a necessity in order to find solutions to overcome it. This paper is composed of two essays. The first studies the effects of poverty on the quality of education as observed by the SAEB scores. For 5th grade students, the effect of a one percentage point change in the incidence of poverty reduces school performance by 1.2%. For 9th grade students, this effect reaches 1.1%. The second essay builds on the work of Ravallion (2012). It aims to assess why we do not see poverty convergence across brazilian municipalities. That is, why poorer municipalities are not experiencing a sharper reduction in poverty. The results suggest that the initial incidence distribution of poverty itself negatively affects both the growth of per capita income and the poverty reduction process.
Nanoparticle from biological source: their role in medicine and drug delivery

The field of nanotechnology principally surrounds and holds within biology, physics, chemistry, polymer science and material science. They synthesize typically nano sized particles having the diameter 10 meter. A nanoparticle has very interesting properties in different fields such as medicine, nutrition, energy and has remarkably advantages in pharmacological industries to act against bacterial and viral diseases, therapeutics for cancer and tumours. However the biological synthesis of nanoparticles from microorganism are cost effective and they show instant synthesis from algae, fungi, plant, bacteria, seaweeds, diatoms etc and effectively control various diseases with almost no harmful effects. Index Terms Nanoparticle, Algae, Biological pathways, cancer, Drug delivery. ____________________________________________________________________________________________________________
REVIEW: COMPERATIVE PHARMACOKINETIC STUDY OF AZITHROMYCIN AND ROXITHROMYICIN IN ALTERED GASTRIC MOTILITY ON WISTAR RATS

Pharmacokinetics of macrolides affect serum concentration of other drugs. Azithromycin and Roxithromycin are antimicrobial macrolides. Azithromycin is derived from erythromycin containing methyl substituted nitrogen in lactone ring whereas Roxithromycin is an ether oxime derivative of Erythromycin. These modifications in structure result in better gastrointestinal tolerability and tissue penetration of both these drugs. Azithromycin and Roxithromycin are acid stable therefore both exhibit better oral bioavailability and more favorable pharmacokinetic properties. Azithromycin and Roxithromycin have greater distribution in tissues, a longer elimination half-life and a lower incidence of adverse effects. These both drugs are used against gram negative bacteria and commonly used for respiratory tract infection . Azithromycin have clinical uses such as used in sexually transmitted diseases, upper and lower respiratory tract infections, skin and structure infections. Roxithromycin is used against the organisms such as Mycobacterium avium complex, Helicobacter pylori, Borrelia spp. , Legionella, pneumophila. Clinicaly the Roxithromycin is used for Lower respiratory tract infections including pneumonia, atypical pneumonia,chronic obstructive lung disease and bronchitis.Upper respiratory tract infections including tonsillitis, pharyngitis, otitismedia and sinusitis. Acute or chronic non gonococcal urethritis, non gonococcal sexuallytransmitted infections and cervicovaginitis.Skin and soft tissue infections including pyoderma, infective dermatitis andleg ulcers.Prophylaxis of meningococcal meningitis. IndexTerms – Azithromycin, Roxithromycin, Pharmacokinetics. Serum pharmacokinetics
Scalable Diverse Model Selection for Accessible Transfer Learning

With the preponderance of pretrained deep learning models available off-the-shelf from model banks today, finding the best weights to fine-tune to your use-case can be a daunting task. Several methods have recently been proposed to find good models for transfer learning, but they either don't scale well to large model banks or don't perform well on the diversity of off-the-shelf models. Ideally the question we want to answer is,"given some data and a source model, can you quickly predict the model's accuracy after fine-tuning? "In this paper, we formalize this setting as"Scalable Diverse Model Selection"and propose several benchmarks for evaluating on this task. We find that existing model selection and transferability estimation methods perform poorly here and analyze why this is the case. We then introduce simple techniques to improve the performance and speed of these algorithms. Finally, we iterate on existing methods to create PARC, which outperforms all other methods on diverse model selection. We have released the benchmarks and method code in hope to inspire future work in model selection for accessible transfer learning.
Helmet presence classification with motorcycle detection and tracking

Helmets are essential for the safety of a motorcycle rider, however, the enforcement of helmet wearing is a time-consuming labour intensive task. A system for the automatic classification and tracking of motorcycle riders with and without helmets is therefore described and tested. The system uses support vector machines trained on histograms derived from head region image data of motorcycle riders using both static photographs and individual image frames from video data. The trained classifier is incorporated into a tracking system where motorcycle riders are automatically segmented from video data using background subtraction. The heads of the riders are isolated and then classified using the trained classifier. Each motorcycle rider results in a sequence of regions in adjacent time frames called tracks. These tracks are then classified as a whole using a mean of the individual classifier results. Tests show that the classifier is able to accurately classify whether riders are wearing helmets or not on static photographs. Tests on the tracking system also demonstrate the validity and usefulness of the classification approach.
Biomass: An Environmentally Acceptable Fuel for the Future

Biomass fuels currently supply around 15 per cent of the World's energy. Much of this is in the form of traditional fuelwood, plant residues and dung, which are often inefficiently used and can be environmentally detrimental. There is great potential for the modernization of biomass fuels to produce convenient energy carriers, such as electricity, gases and transportation fuels, while continuing to provide for traditional uses of biomass; this is already happening in many countries. When produced in an efficient and sustainable manner, biomass energy has numerous environmental and social benefits compared with fossil fuels. These include waste control, nutrient recycling, job creation, use of surplus agricultural land in industrialized countries, provision of modern energy carriers to rural communities of developing countries, improved land management, and a reduction of CO2 levels. Using biomass to substitute for fossil fuels is afar more effective use of available land than simply growing trees as a carbon store. Biomass fuels can form part of a matrix of renewable fuel sources that increases the energy available for economic development in developing countries. In OECD Europe it is calculated that a potential of 9.0–13.5 EJ could be produced in 2050 on available land, which represents 17–30 per cent of projected total energy requirements.
Pyroelectric Sensor Integrated Positioning System Design and Implementation

With the enhancement of society's concern for public safety, human locate system based on pyroelectric detectors is becoming a research focus. We design a low cost human body tracking system based on pyroelectric detectors scattered in the room. According to a huge number of experiment data, we design a high sensitive pyroelectric infrared node with a very high positioning accuracy. We also build an experiment system to collect muti-node experimental data to achieve the purpose of real time positioning with the positioning accuracy of 0.4 meters, which achieves the purpose of indoor positioning.