Miracle-dz/UniFAR-FTUs huggingface dataset:
Radio propagation characteristics in curved tunnels

Radio propagation in curved tunnels of rectangular or arched cross-sections is modelled. The base station and tunnel parameters which have a significant influence on the propagation slope in curved tunnels are determined. The impact of these parameters on the propagation is then analysed and an optimum set of values is determined. Results are based on computed simulations utilising a ray launching approach with the Monte Carlo method. The obtained results show that the radio propagation slope depends on several practical planning parameters including the incident angle of the arrival signal, wall roughness, antenna location and antenna polarisation; especially in connection with tunnel shape. According to the results, antenna location and polarisation have a significant influence on the reflection angle, on reflection coefficient values, and thus on radio propagation. It is also shown that a tunnel cross-section size has only a minor effect on the propagation slope. Hence, the base station antenna configuration and the mobile antenna inclination have a superior impact on optimised coverage in curved tunnels.
Algorithms and the Changing Frontier

We first summarize the dominant interpretations of the "frontier" in the United States and predecessor colonies over the past 400 years: agricultural (1610s-1880s), industrial (1890s-1930s), scientific (1940s- 1980s), and algorithmic (1990s-present). We describe the difference between the algorithmic frontier and the scientific frontier. We then propose that the recent phenomenon referred to as "globalization" is actually better understood as the progression of the algorithmic frontier, as enabled by standards that in turn have facilitated the interoperability of firm-level production algorithms. We conclude by describing implications of the advance of the algorithmic frontier for scientific discovery and technological innovation.
The Impact of Mingle Model on Students’ Performance Skill

This study aims at investigating the effect of Mingle Model on Iraqi EFL Fifth Preparatory Students’ Performance in Speaking Skill. The researcher has chosen his participants, and they are the 5 th -grade students in preparatory schools for boys in Kirkuk Governorate. The numbers of the participants are (61) students and they are distributed into two groups; the control group (31) students and the experimental one (30) students. The control group was taught by means of the traditional way whereas the experimental group was taught by using Mingle model. The researcher has used a recording tool to measure the learners’ performance in speaking skill. The experiment was administered during the second course of the school year 2018- 2019 and continued for nine weeks. During this period, the researcher taught both groups himself. After the administration of the posttest to the main sample and the statistical treatment of data using the t testformula for the two independent samples, the results have indicated that the mean scores of the experimental group are (75.13)whereas the mean scores of the control group are (59.00). This result has shown the effect of MingleModel on Iraqi EFL Fifth Preparatory Students’ Performance in Speaking Skill.
Commodity market modeling and physical trading strategies

Investment and operational decisions involving commodities are taken based on the forward prices of these commodities. These prices are volatile, and a model of their evolution must correctly account for their volatility and correlation term structure. A two-factor model of the forward curve is proposed and calibrated to the crude oil, shipping, natural gas, and heating oil markets. The theoretical properties of this model are explored, with focus on its decomposition into independent factors affecting the level and slope of the forward curve. The two-factor model is then applied to two problems involving commodity prices. An approximate analytical expression for the prices of Asian options is derived and shown to explain the market prices of shipping options. The floating storage trade, which appeared in the oil market in late 2008, is presented as an optimal stopping problem. Using the two-factor model of the forward curve, the value of storing crude oil is derived and analyzed historically. The analytical framework for physical commodity trading that is developed allows for the calculation of expected profits, risks involved, and exposure to the major risk factors. This makes it possible for market participants to analyze such physical trades in advance, creates a decision rule for when to sell the cargo, and allows them to hedge their exposure to the forward curve correctly. Thesis supervisor: Paul D. Sclavounos Title: Professor of Mechanical Engineering and Naval Architecture
Sensitivity Of The RF Performance Of GaAs Power FETs To Process-dependent Parameters

In recent years, the rapid growth of the Monolithic Microwave Integrated Circuits (MMICs) market has spurred considerable interest in large-signal modeling of GaAs MESFETs. An accurate Computer Aided Design (CAD) tool for the GaAs MESFET is important to the economic viability of MMIC technology. The design of microwave circuits for small-signal applications has substantially benefited from linear characterization techniques such as S-parameters. It is difficult, however, to apply this methodology to the design of microwave circuits for high-power applications in which nonlinear effects are dominant. There are three empirical techniques presently used in the characterization of power FETs: 1) the load pull method[ll, 2) "large-signal S-parameter" measurement[2], and 3 ) characterization by means of small signal S-parameters measured at different bias voltages [ 3 ] . These empirical methods, however, require that the device be fabricated prior to large signal characterization. Therefore, unless a systematic, controlled experiment on several devices is performed, little information can be gained from these techniques about the relation between large signal performance and device parameters.
Factors Affecting the False Negative of Cryptococcal antigen in Patients with Cryptococcosis: Immunology and Radiology

Study objectives The purpose of this article is to investigate the factors associated with false negatives in cryptococcal antigen detection in patients with pulmonary cryptococcosis by studying the effects of immune status and radiology on cryptococcal antigen results. Methods The clinical records, serum cryptococcal antigen result, laboratory findings and computed tomography findings of 61 immunocompetent and 17 immunocompromised patients with a diagnosis based on biopsy confirmation of the presence of pulmonary cryptococcosis were reviewed during the course of the study. Chi-square test was used to analyze categorical variable. The independent t-test was obtained to analyze continuous variable. Logistic regression models was used to analyze the effects of immunity and radiology imaging on cryptococcal antigen results. Results We studied the differences between these two groups. No difference were found in baseline characteristics, clinical symptoms, and laboratory findings. Logistic regression analysis showed that the significant independent variables related to serum cryptococcal antigen result were the immune status and radiology findings. Conclusions Our study indicates that immune status and lung imaging findings are important factors influencing cryptococcal antigen detection.
Development of functional purpose epoxy composites

The properties of compositions based on epoxy oligomer ﬁlled with hazelnut powders and walnuts are studied in the article. As a result of the conducted studies, it has been proved that with the addition of ﬁllers, the toughness, density, and hardness of the composite gradually increase.
Application of Fingerprint Security Technique in UBIQUITOUS Learning System

Ubiquitous learning system is a kind of learning system in which the student(s) can access information and learn anytime, any day and anytime, without necessarily being with the tutor. Biometrics is a study that involves the analysis of human anatomy majorly for the purpose of security. Parts of the human body used in biometric may be iris, fingerprints, human faces, footprints and so on.mHowever, this project is about using fingerprint to gain access into an ubiquitous learning system environment. The langauge used for the accomplishment of this learning module is C-sharp and ASP.NET since it is a web application while MySQL server 2005 is used for the database. To a very large extent, the finger print recognition system seems to be one of the most reliable means of authentication with Grfinger SDK being an efficient finger print recognition technique(3) in an environment where an electronic system has to be deployed as in the case of an ubiquitous learning system, even though resource intensive. It is a wireless platform developed for lecturer and students to establish a classroom dynamically irrespective of location and time bounds taking lesson in a lively, vivid, and new learning environment, it enhances students learning performance without any burden like attending classes physically. Keyword-Ubiquitous Learning, facial Recognition
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices

The usage and amount of information available on the internet increase over the past decade. This digitization leads to the need for automated answering system to extract fruitful information from redundant and transitional knowledge sources. Such systems are designed to cater the most prominent answer from this giant knowledge source to the user’s query using natural language understanding (NLU) and thus eminently depends on the Question-answering(QA) field. Question answering involves but not limited to the steps like mapping of user’s question to pertinent query, retrieval of relevant information, finding the best suitable answer from the retrieved information etc. The current improvement of deep learning models evince compelling performance improvement in all these tasks. In this review work, the research directions of QA field are analyzed based on the type of question, answer type, source of evidence-answer, and modeling approach. This detailing followed by open challenges of the field like automatic question generation, similarity detection and, low resource availability for a language. In the end, a survey of available datasets and evaluation measures is presented.
Capacity and Performance Analysis of Advanced Multiple Antenna Communication Systems

Multiple-input multiple-output (MIMO) antenna systems have been shown to be able to substantially increase date rate and improve reliability without extra spectrum and power resources. The increasing popularity and enormous prospect of MIMO technology calls for a better understanding of the performance of MIMO systems operating over practical environments. Motivated by this, this thesis provides an analytical characterization of the capacity and performance of advanced MIMO antenna systems. First, the ergodic capacity of MIMO Nakagami-m fading channels is investigated. A unified way of deriving ergodic capacity bounds is developed under the majorization theory framework. The key idea is to study the ergodic capacity through the distribution of the diagonal elements of the quadratic channel HHy which is relatively easy to handle, avoiding the need of the eigenvalue distribution of the channel matrix which is extremely difficult to obtain. The proposed method is first applied on the conventional point-to-point MIMO systems under Nakagami-m fading, and later extended to the more general distributed MIMO systems. Second, the ergodic capacity of MIMO multi-keyhole and MIMO amplify-and-forward (AF) dual-hop systems is studied. A set of new statistical properties involving product of random complex Gaussian matrix, i.e., probability density function (p.d.f.) of an unordered eigenvalue, p.d. f. of the maximum eigenvalue, expected determinant and log-determinant, is derived. Based on these, analytical closedform expressions for the ergodic capacity of the systems are obtained and the connection between the product channels and conventional point-to-point MIMO channels is also revealed. Finally, the effect of co-channel interference is investigated. First, the performance of optimum combining (OC) systems operating in Rayleigh-product channels is analyzed based on novel closed-form expression of the cumulative distribution function (c.d.f.) of the maximum eigenvalue of the resultant channel matrix. Then, for MIMO Rician channels and MIMO Rayleigh-product channels, the ergodic capacity at low signal-to-noise ratio (SNR) regime is studied, and the impact of various system parameters, such as transmit and receive antenna number, Rician factor, channel mean matrix and interference-tonoise- ratio, is examined.
An experimental assessment of resistance reduction and wake modification of a kvlcc model by using outer-layer vertical blades

Abstract In this study, an experimental investigation has been made of the applicability of outer-layer vertical blades to real ship model. After first devised by Hutchins and Choi (2003), the outer-layer vertical blades demonstrated its effectiveness in reducing total drag of flat plate (Park et al., 2011) with maximum drag reduction of 9.6%. With a view to assessing the effect in the flow around a ship, the arrays of outer-layer vertical blades have been installed onto the side bottom and flat bottom of a 300k KVLCC model. A series of towing tank test has been carried out to investigate resistance (CTM) reduction efficiency and improvement of stern wake distribution with varying geometric parameters of the blades array. The installation of vertical blades led to the CTM reduction of 2.15~2.76% near the service speed. The nominal wake fraction was affected marginally by the blades array and the axial velocity distribution tended to be more uniform by the blades array.
Space Station Freedom primary power wiring requirements

IN ENGINEERING TERMS, THIS IS: 263,000 HOURS SERVICE OVER 175,000 ORBITS. PREDICTED THERMAL CYCLES OF 0 TO 100 DEG. C EXPOSED, OR UP TO 30 % OXYGEN INTERNAL. TOTAL MASS LOSS MUST BE ( 1% VOLATILE CONDENSIBLE MATERIAL ( 0.1% OR LESS MUST SURVIVE PREDICTED HOSTILE ENVIRONMENTS: ATOMIC OXYGEN, VACUUM ULTRA-VIOLET, PLASMA, RADIATION, AND MICROMETOROIDS. MUST RETAIN GOOD MECHANICAL AND ELECTRICAL PROPERTIES AT END-OF-LIFE,
Design of Phone Anti-obsessed System Based on the User Behavior

Traditional anti-obsessed system is only use for identity management, but it cannot be used for entertainment conduct analysis, and cannot be able to accurately identify entertainment software. This paper design a new mobile phone Anti-obsessed system based on the user behavior. The system can dynamic capture user's interactive behavior data, and uses these data for detecting whether the software is in the entertainment software classification. From the result of comparing with interaction behavior threshold number of classification, mobile phone Anti-obsessed system can decide whether to block the use of entertainment software. Experiment showed that phone Anti-obsessed system could effectively limit the time playing mobile phone by young people and provide a new approach to prevent adolescent's indulged mobile phone application.
A study on /spl Rfr//sup m//spl rarr//spl Rfr//sup 1/ maps: application to a 0.16-/spl mu/m via etch process endpoint

We introduce several endpoint algorithms that map real-time, in situ process signals to a via etch process endpoint. Some of the mathematical techniques include: Andrews plots (Fourier series), Chebyshev polynomials, Legendre polynomials, wavelets, singular value decomposition, and neural networks. We show that many of the techniques work to varying degrees of success for a via etch process on 0.16-/spl mu/m technology. Based on our observations from many lots of manufacturing wafers and experiments with all the endpoint methods, we believe the Chebyshev polynomial area-time curves perform the best, but this statement should be taken with a caveat. It is really best to empirically test the various methods for a given etch process to deduce the endpoint algorithm for that application.
Effects of tidal bores on turbulent mixing : a numerical and physical study in positive surges

Tidal bores are surge waves propagating upstream rivers as the tide rushes into estuaries. They induce large turbulences and mixing of the river and estuary flow of which effects remain scarcely studied. Herein, tidal bores are investigated experimentally and numerically with an idealised model of positive surges propagating upstream an initially steady flow. The experimental work estimated flow changes and typical turbulent length scale evolution induced by undular bores with and without breaking roller. The bore passage was associated with large free surface and flow velocity fluctuations, together with some variations of the integral turbulent scales. Coherent turbulent structures appeared in the wake of leading wave near the bed and moved upward into the water column during the bore propagation. The numerical simulations were based on previous experimental work on undular bores. Some test cases were realised to verify the accuracy of the numerical methods. The results gave access to the detailed flow evolution during the bore propagation. Large velocity reversals were observed close to the no-slip boundaries. In some configurations, coherent turbulent structures appeared against the walls in the wake of the bore front.
Evaluation of Commercial Complementary DNA Synthesis Kits for Detecting Human Papillomavirus

Cervical cancer is the fourth most common malignant neoplasm in women worldwide. Most cases of cervical cancer are caused by an infection by the human papillomavirus. Molecular diagnostic methods have emerged to detect the HPV for sensitivity, specificity, and objectivity. In particular, real-time PCR has been introduced to acquire a more sensitive target DNA or RNA. RNA extraction and complementary DNA synthesis are proceeded before performing real-time PCR targeting RNA. To identify an adequate and sensitive cDNA synthesis kit, this study evaluated the two commonly used kits for cDNA synthesis. The results show that the R 2 and efficiency (%) of the two cDNA synthesis kits were similar in the cervical cancer cell lines. On the other hand, the Takara kit compared to Invitrogen kit showed P ＜ 0.001 in the 10 2 and 10 3 SiHa cell count. The Takara kit compared to the Invitrogen kit showed P ＜ 0.001 in the 10 1 and 10 2 HeLa cell count. Furthermore, 8, 4, 2, 1, and 0.5 ml of forty exfoliated cell samples were used to compare the cDNA synthesis kits. The Takara kit compared to the Invitrogen kit showed P ＜ 0.01 in 8, 4, and 1 ml and P ＜ 0.05 in 0.5 mL. The study was performed to identify the most appropriate cDNA synthesis kit and suggests that a cDNA synthesis kit could affect the real-time PCR results. The expression of the CEACAM19 gene, a novel member of the CEA family, is associated with breast cancer progression.
Measuring and generating social influence using mobile telephony

In recent years, mobile telephony and manufactured social influence have received attention as tools for eliciting behavior change. This paper describes an experimental approach to studying the effect of these tools in combination. We demonstrate that mobile telephony can be used to generate social influence and elicit behavior change in support of a specified goal. A longitudinal experiment is conducted in a free-living environment, using mobile telephony to track and attempt to influence the activity level of a pool of 97 subjects over 62 days. Subjects receiving feedback about others' performance show a significantly greater increase in activity level than subjects receiving feedback about their own performance only, demonstrating that social influence enhances the persuasive capability of mobile telephony. A significant effect is observed of a subject's pre-existing closeness to the others whose performance he sees. Evidence is also seen that generated social ties lead to a more significant and sustained increase in activity level than existing social ties. Thesis Supervisor: Alex (Sandy) Pentland Title: Toshiba Professor of Media Arts & Science
Learning Styles and Academic Achievement among Medical Students at Ain Shams University: An Experience During COVID-19 Era

Background: During the COVID-19 era, the educational system was modified to include blended learning, using a multi-delivery mode to optimize outcome and have the best program delivery cost. Identifying students’ learning styles (LS) is an important factor that contributes to scholastic accomplishment, resulting in a more satisfying learning. Objectives: To describe the learning style preferences among medical students at Ain Shams University; to investigate the associations between LS and academic achievement; and lastly, to determine whether preclinical and clinical students differ in their LS. Method: A cross-sectional study was conducted among a sample of 262 students using a self-administered questionnaire including socio-demographic data, academic achievement, and the Barsch Learning Styles Inventory. Results: The unimodal pattern of learning was the most prevalent style among surveyed students; about half of them used the unimodal visual style (49.6%) while the trimodal style was the least (0.8%). The most reported preferred educational materials include the private lessons summary (64.8%) and the faculty books (61.4%). The most frequently reported educational source was recorded audios (82.4%). The LS preference did not differ between preclinical and clinical students. Conclusion and recommendations: The unimodal visual style was the predominant among surveyed students. Age, gender, academic year, study hours, and LS explain 59% of the variation in academic performance. Education and training in medicine need innovative ideas that match the students’ styles. Educators should create a conducive atmosphere for learning and use methods of delivery that appeal to the senses using visual aids and materials to accommodate different learners.
Online Learning for English Language Learners During Covid-19 Pandemic in Muhammadiyah University of Surabaya

An existence of a government policy for study from home in the COVID-19 pandemic era has disrupted the conventional learning process. Online learning was an alternative that can overcome the problem of the spread of COVID-19 pandemic in universities. A purpose of this research was English language learners that needed online learning during COVID-19 pandemic in Muhammadiyah University of Surabaya. Learning English, especially in speaking skills, is an important skill in English as a foreign language (EFL). One thing that also influenced the behaviour of English language learners in the online learning model was Computer Self Efficacy (CSE). Students' confidence used computers that are also a success factor in online learning. This research was conducted at the medical faculty of the Muhammadiyah University of Surabaya. The method used descriptive qualitative. The subjects of this research were 80 students of the first semester students in medical faculty in Muhammadiyah University of Surabaya. This research showed the results that the implementation of the online learning model can provide many English learning activities independently at anywhere and anytime. The learning English online for students were very interesting. Therefore, it can be increased students' motivation to practice speaking in English.