Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of Perceived Stress and Socioeconomic Status with Depression and Anxiety Levels in 1

High levels of Stressare causing a burnout in medical students with its associated ill effects on mental health. An enquiry into the correlation of this perceived Stress, with the more serious mental disorders like AnxietyandDepression,was performed in this study on125 first-year MBBS students. Results show a strong positive correlation of Stress with both Anxiety and Depression, with a highly significant statistical value, confirming the role of Stress as a contributory factor to these disorders, even in medical students. Background data collected from the medical students were also evaluated for determining socioeconomic class by employing Kuppuswamy’s scale. 55% of the total students suffered from moderate to severe stress: which is found maximum in the students of the Lower Middle class (Class III), who also suffer from the highest levels of Depression. Moderate to severe levels of Anxiety were noted in 32% of students, with maximum prevalence in the highest two socioeconomic classes (Classes I and II). Thus while Anxiety were more prevalent in the Upper socioeconomic classes, Stress and Depression werefound more in the Middle socioeconomic classes.
Teacher Induction Programs That Lead to Retention in the STEM Teaching Workforce

STEM teacher retention is critical for improving STEM learning outcomes in the United States for several reasons. First, STEM teachers who remain in the profession generally become much more effective over time (Harris & Sass, 2011; Papay & Kraft, 2015). Second, students perform better in mathematics and other subjects when teacher turnover in their grade levels at their schools is reduced (Atteberry, Loeb, & Wyckoff, 2017; Ronfeldt, Loeb, & Wyckoff, 2013). Third, STEM teachers who remain in teaching and in their schools of origin are likely to contribute to a positive climate in their schools; in other words, schools that have high rates of teacher retention are more likely than other schools to establish and maintain supportive professional environments. Schools with supportive professional environments have higher levels of student achievement gains over time than other schools (Bryk & Schneider, 2002; Newmann, Smith, Allensworth, & Bryk, 2001). To this end, this essay examines what it known and what remains to be learned about school working conditions that promote novice STEM teacher retention. In the first three sections, we review research on how formal mentoring and induction programs, principal leadership, and person-environment fit affect beginning STEM teacher retention and two related outcomes, instructional quality and effectiveness. The fourth section both identifies strengths and weaknesses of the methods and indicators used for research on mentoring/induction programs, principal leadership, and teacher fit and STEM teachers; and recommends new methods and indicators for research in this area. In the fifth section, we discuss challenges to research implementation in this area and we conclude with several suggestions for strengthening linkages among STEM teacher induction scholars. These include identifying models that will permit cross-comparison of findings across studies, using common research methods, and creating data collection guidelines.
Automated Security Testing of Oracle Forms Applications

Oracle Forms, a component of Oracle Fusion Middleware is a technology to efficiently build browser-based enterprise applications. In order to support multiple transport methods Forms has its own binary message format that is meant to provide serialization and additional security for the platform. Unfortunately this proprietary format renders conventional security testing tools unusable. Reverse engineering methods will be employed to reveal the format of the protocol messages and to analyze the cryptographic protections in use. It will be shown that the proprietary encryption and key exchange schemes can be attacked in multiple ways. New tools will be presented which can be used to exploit these weaknesses and allow existing security testing software to be used against Oracle Forms applications. Based on the observations deployment best practices will also be described to help mitigate the discussed problems. Automated Security Testing of Oracle Forms Applications! 2 ! Author! Name,! email@address!
The Development of Evaluation Instrument Based on Computer Based Test (CBT)

The utilization of computers as one of the media used for learning evaluation expected to be able to answer the shortcomings of Paper-Based Test (PBT). Assessment of learning biology is one of the required course in biology education department, Universitas Sulawesi Barat. But in this course, there has not been any evaluation instrument based on Computer Based Test (CBT). Therefore, the authors feel interested in developing an evaluation instrument based on CBT. The type of this study is R&D, adapting from the Plomp’s model, with stages: the preliminary investigation, design, construction, evaluation, and implementation. To view the validity of the evaluation instrument, we used the validation sheets instrument. The evaluation instrument in this study was validated by the content expert and instructional design expert. Validation results showed the average percentage of assessment by the content expert is 87% (very valid), and the instructional design expert is 82% (valid). Furthermore, the results of testing readability of small groups consisting of 21 students who have different academic ability (high, middle, and low) showed the average percentage of assessment is 93% (very valid).
ADVANCES IN MULTIMEDIA-AN INTERNATIONAL JOURNAL (AMIJ)

There is no exact solution for colorization of greyscale images. The main focus of the techniques [24] is to minimise the human efforts needed in manually coloring the greyscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to greyscale image is done by techniques discussed in[1]. Here the colors from some source color image are picked up and squirted into the colored greyscale image. The color palette used in colorization technique discussed here is generated using the modified VQ codebook obtained by applying Kekre’s Fast Codebook generation algorithm. The technique is tested using various VQ codebook sizes like 64, 128, 256. In this papaer the techniques of color traits transfer to greyscale images are revisited with various color spaces like newly introduced Kekre’s Biorthogonal color spaces and RGB color space. The pixel window size used is of size 2x2. Color traits transfer to greyscale algorithms are tested over five different images for deciding the color space giving best quality of coloring. The experimental results show that the Kekre’s Biorthogonal Green color space gives better coloring.
Predicting Customer Value by Product: From RFM to RFM/P Track: Marketing Management Keywords: Customer Lifetime Value. Customer Management. Product Management Predicting Customer Value by Product: From RFM to RFM/P

Recency, frequency, and monetary (RFM) models are widely used to estimate customer value. However, they are based on the customer perspective, not taking into account the product perspective. Furthermore, when recency, frequency, and monetary values vary among product categories, predictability becomes lower. A RFM by product (RFM/P) is proposed to first estimate customer values by product and then aggregate them to get the overall customer value. Empirical applications for a financial services company and a supermarket demonstrate that RFM/P prediction accuracy is similar or greater than traditional RFM. Additionally, RFM/P unleashes the possibility to combine customer and product perspectives.
Visual FastSLAM through Omnivision

Simultaneous Localization and Mapping (SLAM) is still an open problem in mobile robotics. In this paper a SLAM algorithm using omnivision is presented. Omnidirectional cameras have a wide field of view, thus detecting landmarks over long distances, but this also requires a good data association. Our SLAM proposal is based on the wellknown FastSLAM algorithm [1]. Our main contributions are the features detection and their position estimation for an omnidirectional camera (bearing-only sensor), and also the data association process based on the Hungarian algorithm. The system has been tested on a Pioneer 3-DX robot equipped with an omnidirectional camera (a camera with a fish-eye lens) and a passband infrared filter. Experiments were carried out in an exposition hall of a museum, showing a good performance, despite the uneven floor which generates a swinging on the camera and increases the error in the motion commands.
More than meets the eye: An eye-tracking study on the effects of translation on the processing and memorisation of reversed subtitles

Reversed subtitling is a subtitling mode in which the original audiovisual product is in the native language of the viewer, and the subtitles are in the foreign language (L1 audio, L2 subtitles). Distinct acquisitional advantages of reversed subtitles have emerged from previous research, especially for L2 vocabulary retention, a crucial component of foreign language learning. Despite these benefits, however, reversed subtitles remain one of the least explored subtitling modes to date, with a particularly acute lack of knowledge regarding how they are processed and their impact on memory. The aim of this paper is to resume and expand the discussion on this type of interlingual subtitles, and fill this gap by presenting the initial results of a study on the effects of reversed subtitle translation on reading and retention of L2 input. Specifically, formal similarity (literal transfer) and formal discrepancy (non-literal transfer) were compared. To determine how the two translation conditions were processed, eye tracking was used. To ascertain their effect on retention, an immediate L2 recognition post-test was administered. The participants were English (L1) native speakers learning Italian (L2) at an upper-intermediate level (CEFR B2). Findings show that the reversed subtitles were processed, a large percentage of L2 input was retained after a single exposure to the video, and translation-specific factors are liable to affect the learner.
THE SOURCE SIMULATION TECHNIQUE WITH COMPLEX SOURCE POINTS FOR COMPUTING ACOUSTIC RADIATION PROBLEMS

The Source Simulation Technique is a general tool for calculating the sound radiation or scattering from complex-shaped structures into the three-dimensional space. The basic idea of the method consists in replacing the structure by a system of acoustical sources placed in the interior of the structure. By definition, these source functions have to satisfy the Helmholtz equation and the radiation condition. For solving the radiation or scattering problem completely or approximately, the source system also has to fulfil or minimize the boundary conditions on the surface of the body. In most cases, spherical wave functions e.g. monopoles, dipoles, quadrupoles etc. with different source locations are used as sources, since they can be calculated easily. If the coordinates of the source positions are shifted from real values into the complex plane, the corresponding monopoles show a similar behaviour like surface waves or possess a distinctive directivity pattern, depending on the values of the imaginary parts of their coordinates. Therefore, by adding such complex source point solutions to the system of equivalent sources, a strongly focused sound field should be computed in a more efficient and stable way. The capacity of the extended source simulation technique is investigated and represented by applying it to calculate the sound field radiated from a circular baffled piston.
Monolithic Two-Section Self-Pulsation Edge Emitting Laser With Injection Locking Technique

In this thesis,we study the characteristics of the 1. 55μm two-section self-feedfack laser with injection-locking technique.We fabricate an air gap with a specific width and depth in the middle of the two single-mode laser side by side with the focus ion beam system. The laser device has an high-reflection facet and an anti-reflection one on the other side. From the wave intensity simulation, we know that the injection ratio from the master laser (ML) to the slave laser (SL) will differ at different depths. Besides, the current distribution in the two-section cavity will also differ because of the different depths. Based on the optical injection-locking theory, we present the device structure about 1. 55μm two-section edge emitting laser、the relative intensity noise (RIN) measurement of the device with light injection and without light injection, and the simulation results of RIN spectrum . We can observe that the resonance frequency increase largely under a external injection light condition. Theoretically if we increase the injection ratio, the resonance frequency can be up to 10 GHz at least, and relative intensity noise can reduce effectively. In this thesis fixing some gap depths, we change the injection ratio from ML, and we can enhance the RF frequency up to 20 GHz at least under injection-locking condition. With the technique, we can increase the laser modulation bandwidth.
Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gray level Image Watermarking

In this paper, we propose an invisible blind watermarking scheme for the graylevel images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.
siRNA Silencing Survivin Enhances Etoposide Chemosensitivity in Leukemia Cells

Acute myeloid leukemia (AML) is a lethal hematologic malignancy, with high a frequency of relapse and poor outcome even with intensive chemotherapy (Robak and Wierzbowska, 2009). The development of multi-drug resistance in leukemic cells is one of the main obstacles for successful chemotherapy in leukemia (Baran et al., 2007; Ho et al., 2008). Therefore, the innovation of new treatment modalities to overcome chemoresistance of tumor cells may be a potential source of improved therapies. Apoptosis, or programmed cell death, is a biological process essential for the regular development and maintenance of tissue homeostasis (Michels et al., 2005; Gautrey and Tyson-Capper, 2012). Disturbance in the regulation of apoptosis machinery contributes to the development of tumor and subsequent multi-drug resistance (Dai and Grant, 2007; Kang and Reynolds, 2009). As the majority of cytotoxic drugs mainly kill malignant cells by the activation of apoptosis, recent anti-
Theoretical Prediction of E-Learning System Utilization Performance among Lecturers in Nigerian Universities

The purpose of this study is to propose a theoretical model for explanation and expecting e-learning system utilizationperformance among university lecturers in Nigeria. The projected model expects e-learning system utilization attitudes, e-learning system utilization intentions and technology readiness as independent variables that determine university lecturers’utilization performance. To measure the independent variables this study will utilize self-reported opinions of respondents with regard to their attitudes and intentions toward using e-learning system in the classroom. The principal limitation of the study is that it is introductory in nature, highlighting only on the integration of what extant literature has revealed. However, the model suggested in this study is expected to aid researchers to statistically describe university lecturers’ utilization performance with attention to manifold variable factors. The study is expected to mainly unfold significantexposures if applied in Nigerian universities, and it will methodicallyadd to the body of knowledge in general and greatly be of assistance to lecturers all over the world. The study will also play avital role in connecting the gap that be in existent in e-learning system research between Nigeria and the wider world.
Artificial Intelligence as a Tool in Civil Engineering – A Review

The field of artificial intelligence, or AI, attempts to understand intelligent entities as well as construct them to make the operation reasonably simple and easy, correct and precise. Artificial neural networks are typical example of a modern interdisciplinary subject. Sophisticated modeling technique that can be used for solving many complex problems serves as an analytical tool for qualified prognoses of the results. Using the concept of the artificial neural networks and the results of the performed numerical analyses make the field of Civil Engineering more accurate, precise and efficient especially in the fields of smart materials and many more.
Securing iClouds Storage Based On Combination of RSA and AES Crypto System

The strength and consistency of cryptographic systems in application, development is highly significant to reduce the penetration chances of applications and files storages. Nevertheless, the data protection systems still face challenges to protect those systems from being attacked. This research has been designed to protect highly important documents saved in iClouds computing storage from being exploited through illegal techniques. The research proposes a new method of encryption that combines two of the most familiar techniques, which are based on (RSA) model invented by Rivest, Shamir, and Adelman merged with an Advanced Encryption Standard (AES). The new combination RSA and AES method will be used on iCloud storages to give them more security and effectiveness as compared to standalone encryption. The main idea of the new technique is to choose two big unpredictable prime numbers at random for public and private key merging with trusted and widely used AES procedure. The research will be applied and evaluated by using a case study to show the new suggested method. Moreover, the case study will be run on iClouds technique namely drobox.
PMH5 A DISCRETE EVENTS MODEL OF LONG-TERM OUTCOMES AND COST OF TREATMENT WITH LONG ACTING RISPERIDONE IN SCHIZOPHRENIA

PMH3 A COST-EFFECTIVENESS COMPARISON OF OLANZAPINE AND RISPERIDONE IN THE TREATMENT OF SCHIZOPHRENIA IN ITALY Beard S, Lothgren M, Giudi L, Ramacciotti F, Nardini M, Berardi D RTI Health Solutions, Manchester, United Kingdom; Eli Lilly & Company Ltd, Windlesham, United Kingdom; Eli Lilly Italia S.P.A, Florence, Italy; Centro di Igene Mentale di Palazzo Boldu,Venezia, Italy; Policlinico di Bari, Bari, Italy; Instituto di Psichiatrica, Bologna, Italy
A numerical study on the role of leakage distribution and internal leakages under unsteady wind conditions

The existence of air leakages in a building has been very clearly stated as an important reason for energy loss. The decrease in the efficiency of the mechanical ventilation has also been clarified. The global demand for achieving nearly zero-energy buildings makes the uncontrolled leakage paths even more undesired. Despite the fact that steady state measurements of inand exfiltration rates offer a simple and easy way of estimating the airtightness level of an eclosure, a supplement to those methods might be imposed. While a significant amount of studies points out the key role of the ‘artificial’ unsteady conditions to the actual leakage rates of a building, there are only few that discuss the influence of natural unsteady phenomena. In this context, the correlation between the dynamic characteristics of the wind and the leakage numbers of a building, should be more studied. Computational Fluid Dynamics (CFD) could be employed in order to investigate the role of the air flow mechanisms. In the current numerical study, unsteady wind conditions are performed around an one-storey building-model of size 5m x 10m x 3m. Variable leakage areas Aleak around windows are simulated and solved in a transient mode aiming to investigate the role of the distribution of the leakages under natural conditions. A ratio (0 ≤ α ≤ 1) that represents the portion of leakages (distribution) per surface is employed and the infiltration rates respect to this ratio are shown. Different situations of the enclosure volume (from the perspective of internal wall airtightness) are assumed in order to investigate the influence of the latter to the infiltration rate of the building’s envelope. The impact of the internal leakages is proven and the importance of controlling them is discussed.
Do Automotive Fuel Economy Standards Increase Rates of Technology Change?

Corporate Average Fuel Economy (CAFE) standards are popularly presented as technology-forcing regulations, which will accelerate the deployment of efficiencyimproving technologies in new automobiles. It is not clear, however, that such regulations actually spur more advanced technology; fuel economy gains may also come through sacrificing other vehicle attributes, such as acceleration performance, size, or features. In this paper I test whether a binding CAFE regulation increases the rate of technology deployment within a firm’s fleet of automobiles. I build on recent applications of a product characteristics framework to quantify technological change in automobiles. I use fleet and firm-level regulatory compliance data to identify changes in the rate of technology improvements when a manufacturer’s fleet is more tightly constrained by a CAFE standard. In a variety of panel regression specifications, I found little to no significant change in the the rate of technology improvement when fleets were more tightly constrained by a CAFE standard. This was the case for both technology improvement among the menu of cars offered for sale, and the sales-weighted mix of all cars sold. The failure to find a significant effect of the standards on technology change does not preclude the possibility of such an effect, and I discuss several limitations to my results in this paper. Don MacKenzie, Engineering Systems Division, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 31-141, Cambridge, MA 02139. E-mail: dwm@mit.edu. I thank Valerie Karplus and Chad Hazlett for helpful comments on drafts on this paper. Any errors are the sole responsibility of the author.