Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Automatic Aircraft Tracking with RTL-SDR

: To improve the efficiency, safety, and capacity of air space system, an Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the popular technologies used in air traffic surveillance. The ADS-B uses 1090 MHz band. ADS-B is complemented by existing radar-based technologies to locate aircraft. The coexistence of radar systems and ADS-B is a key system to detect and resolve conflicts in the Next Generation Air Transportation System (NGATS). But, the major disadvantage of ADS-B is its implementation complexity and increase in cost without user-friendly. This paper focuses to reduce the complexity and cost of ADS-B system implementation in MATLAB with the help of Software Defined Radio (SDR). SDR is user-friendly and easy to handle aircraft information without increasing the cost. The ADS-B system implemented with SDR can receive the multiple numbers of aircraft information such as altitude, latitude, longitude, speed, and direction in real-time. Usage of SDR maximizes the information coverage with reliability and can achieve timely communication in Air Traffic Control (ATC) networks.
Three-Dimensional Mapping in Underwater Environment

Autonomous underwater vehicles are applied in diverse fields, namely in tasks that are risky for human beings to perform, as optical inspection for the purpose of structures quality control. Optical sensors are more appealing cost and they supply a larger quantity of data. Lasers can be used to reconstruct structures in three dimensions, along with cameras, which create a faithful representation of the environment. However, in this context a visual approach was used and the paper presents a method that can put together the three-dimensional information that has been harvested over time, combining also RGB information for surface reconstruction. The map construction follows the motion estimated by a odometry method previously selected from the literature. Experiments conducted using real scenario show that the proposed solution is able to provide a reliable map for objects and even the seafloor.
Blockchain: Will Better Data Security Change Chemical Education?

Aside from a few brave souls who follow the financial gyrations of the online currrency known as Bitcoin, most chemists are probably not very familiar with blockchain. Blockchain is a security technnology that can replace traditional academic transcripts as well as provide a new model for sharing scientific information. It might be useful as a pedagogical tool and even as a way to manage the arrival and inventory of the chemical stockroom. Blockchain may also be used to determine ownership of intellectual property and to track the shipment of chemicals to prevent their use for illegal purposes, such as terrorism.
EXPRESSION OF MENIN IN THE HUMAN THYROID GLAND.

Introduction The expression of menin in the thyroid gland has long been debated. Animal models with targeted inactivation of menin in the thyroid gland have shown that its inactivation might play a role in the progression to a more aggressive type of cancer. Human studies are conflicting, some have identified mutations in the MEN1 gene in a sub-type of oncocytic thyroid carcinomas, while others have not identified a higher prevalence of thyroid cancer in MEN1 patients. Objective To analyze the immunohistochemical expression of menin in different types of thyroid carcinomas. Materials and methods 48 thyroid tumours (12 papillary thyroid carcinomas (PTC), 6 anaplastic thyroid carcinomas (ATC), 12 poorly differentiated thyroid carcinomas (PDTC), 5 medullary thyroid carcinomas (MTC), 5 oncocytic follicular carcinomas (OC), 3 oncocytic adenomas (OA) and 5 goiters (G)) were tested for nuclear expression of menin using an anti-menin antibody. The expression was considered positive, negative or decreased. Results The expression of menin was positive, identical to normal tissue, in 39 cases (81.25%). The expression was decreased (n=8) or absent (n=1) in 9 tumours (18.75% - 2 PTC, 5 PDTC, 2 OC) accounting for 42% (5/12) of the PDTC and 40% (2/5) of the OC. Conclusions Our results show that the expression of menin is generally preserved in human thyroid carcinomas, but it can be decreased or absent in certain types of thyroid cancer. Further molecular studies are needed to evaluate to potential of menin protein in tumorigenesis.
Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images

This letter proposed a road extraction method based on fully convolutional networks (FCNs) with an ensemble strategy in order to solve the imbalance of road and background areas in aerial images. By utilizing the FCN, we consider road extraction as a semantic segmentation problem. In the network, the weight of the loss function is modified because of the imbalance between the roads and backgrounds, and there will be a larger punishment if roads are wrongly classified as background. Since it is difficult to determine an appropriate weight of the loss function for a given image, an ensemble method based on spatial consistency (SC) is proposed. The result maps that are obtained from the FCNs with different loss functions are fused in our proposed ensemble strategy, which also avoids the determination of weights. Our method is tested using the Massachusetts road data set, and it was proven to be effective compared with the base fully convolutional model according to our experimental result.
The More Children You Have the More Likely You Are to Smoke? Evidence from Vietnam

There is no doubt that parental smoking can cause health problems for children. It is expected that parents who are aware of the harmful effect of secondhand smoke would decrease parental smoking when having more children. Yet, using instrumental variable regressions and data from the 2006 and 2008 Vietnam Household Living Standard Surveys , we find a very strongly positive and significant effect of the number of children on the probability of households smoking tobacco in Vietnam. Having an additional child increases the probability of households consuming tobacco by approximately 15 percent. These findings imply low awareness levels regarding the harmful effects of secondhand smoke on children " s health in Vietnam and indicate the need for policy action that disseminates knowledge on the harmful effects of smoking.
Optimal Design and Experimental Research on a New Hybrid Electromagnetic Actuator for Vehicles

In this study, a new hybrid electromagnetic actuator (HEMA) that integrates a cylindrical permanent magnet linear synchronous motor and a hydraulic damper is proposed and designed to solve the problem of poor reliability of a linear electromagnetic actuator. A modified skyhook control that matches the structure of the HEMA is adopted, and the performance parameters are optimized. Then, the relationships among structural parameters of the HEMA are analyzed using equivalent magnetic circuit method. On the basis of these relationships, multiple alternative groups of structural parameters are obtained. Moreover, finite element models are established in Ansoft Maxwell software. The structural parameters of the HEMA are optimized and determined to produce the peak electromagnetic thrust force that the linear motor requires. Finally, a prototype is developed on the basis of the optimized results for the bench test. Test results show that the linear motor tracks the desired force effectively. In contrast to the passive damper, the body acceleration and suspension working space of HEMA are decreased by 20.6% and 13.3%, respectively. The dynamic tire load is increased by 16%, which is in a reasonable range. And compared with LEMA, the body acceleration is increased by 2.73%, but the suspension working space and dynamic tire load are reduced by 1.1% and 38.1%. All the results above mentioned demonstrate that the HEMA can considerably improve the vehicle dynamic performance.
Ransomware Prevention and Mitigation Techniques

Ransomware is a malware family that using security techniques such as cryptography to hijacking user files and associated resources and requests cryptocurrency in exchange for the locked data. There is no limit to who can be targeted by ransomware since it can be transmitted over the internet. Like traditional malware, ransomware may enter the system utilizing “social engineering, malware advertising, spam emails, take advantage of vulnerabilities, drive-by downloads or through open ports or by utilizing back doors”. But in contrast to traditional malware, even after removal, ransomware influence is irreparable and tough to alleviate its impact without its creator assistance. This kind of attack has a straightforward financial implication, which is fueled by encryption technology, cyber currency. Therefore, ransomware has turned into a profitable business that has obtained rising popularity between attackers. As stated by “Cybersecurity Ventures”, ransomware is the quickest increasing type of cybercrime. Since, global ransomware wastage expense is predicted to hit $20 billion in 2021, up from just $325 million in 2015 which, is 57X extra in 2021. In this paper, a brief of the recent research in the prevention of ransomware attacks and the best practices to mitigate the attack impact is presented.
Sub-surface modifications in silicon with ultra-short pulsed lasers above 2  µm

Nonlinear optical phenomena in silicon such as self-focusing and multi-photon absorption are strongly dependent on the wavelength, energy and duration of the exciting pulse. Thus, a pronounced wavelength dependence of the sub-surface modifications with ultra-short pulsed lasers exists, especially for wavelengths > 2 $\mu$m. This wavelength dependence is investigated for wavelengths in the range of 1950-2400 nm, at a pulse duration between 0.5-10 ps and the pulse energy varying from 1 $\mu$J to 1 mJ. Numerical and experimental analyses have been performed on both the surface and sub-surface of Si wafers processed with fibre-based lasers built in-house that operate in this wavelength range. The results have been compared to the literature data at 1550 nm. The analysis carried out has shown that due to a dip in the nonlinear absorption spectrum and a peak in the spectrum of the third-order non-linearity, the wavelengths between 2000 - 2200 nm are more favourable for creating sub-surface modifications in silicon. This is the case even though those wavelengths do not allow as tight a focusing as those at 1550 nm in the linear regime. This problem is compensated by an increased self-focusing due to the nonlinear Kerr-effect around 2100 nm at high light intensities, characteristic for ultra-short pulses.
Watsuji on nature: Japanese philosophy in the wake of Heidegger

In philosophical Watsuji scholarship, the intricate relation between Rinrigaku (Watsuji, 1961c, 1961d) and Fūdo (Watsuji, 1961b), and Heidegger’s Being and Time (Heidegger, 2010) seems to be well, .
High Efficiency Natural Gas Engine Combustion Using Controlled Auto-Ignition

Increasingly restrictive limits on Oxides of Nitrogen - NOx levels and desire for low methane emissions from gas engines are driving the change from lean-burn to stoichiometric combustion strategies on heavy-duty on-highway natural gas engines in order to take advantage of inexpensive and effective three-way catalyst technology. The change to stoichiometric combustion has led to increased tendency for engine knock due to higher in-cylinder temperatures. To suppress engine knock, Exhaust Gas Recirculation (EGR) rates from 10 to 30% are used. While high EGR rates nominally improve Brake Thermal Efficiency (BTE) and reduce exhaust gas temperatures, they also slow down combustion. However, by deploying a controlled spark triggered homogeneous charge volumetric ignition, very short burn durations can be achieved without the destructive effects of engine knocking towards high efficiency gas engines. In the interest of achieving 45% BTE in spark ignited an on-highway class 8 truck engines fueled on natural gas and to meet EURO 6 and future California emissions standards of 0.02 gm/kw-hr NOx, Controlled Auto-Ignition (CAI) is herein demonstrated on a 15 liter truck engine. CAI is enabled by (a) having a combustion device capable of exceptionally good combustion stability in the presence of high EGR rates (COV of IMEP < 0.75 %), (b) cylinder pressure based combustion feedback, and (c) fast closed loop combustion control (using a Woodward RT-CDC control system). This system enables significant reduction in burn duration by controlling a two phase combustion event. The first phase is normal spark ignited propagating flame, which then triggers the second phase which is volumetric auto-ignition. The location and percentage of fuel that burns in the volumetric auto-ignition event is controlled relative to that which occurs via the conventional spark ignited flame propagation process by use of high speed combustion in the loop feedback control. Auto-ignition mass fraction burned (MFB) ratios of 25–50% have been achieved yielding higher heat release rates at the end of combustion than at the center of combustion with the result being a shortening of the combustion burn duration from a nominal 20–30 degrees to a near optimal 10–15 degrees even with EGR rates as high as 25%. A novel and patent pending burn duration control strategy is employed to stably maintain this knock-free combustion strategy even with compression ratio as high as 14:1. The benefits are significant increase in Brake Thermal Efficiency and substantial reduction in engine out methane emissions without sacrifice of transient responsiveness.
Approaches in Creating Meta-requirement: A Systematic Literature Review

Common development team will spend less resources on User Requirement Specification (URS) validation, in the case of development project that provides this URS in the phase of competing for tender. In order to overcome this, the use of meta-requirement in evaluation of requirements is being introduce. The purpose of this article is to present the finding of a systematic literature review of meta-requirements. A methodology that involve defining a systematic way of finding literature and presenting it in a meaningful manner has been adopted. Meta-requirement is an area that is station within the field of information system design theory which is contain in the design research body of knowledge. Based on the result of the analysis of the systematic literature review, it is shown that there is still advancement in the field of meta-requirement and there still improvement that can be done to further the knowledge and contribution in this area. It is suggested that further research that will define a highly comprehensive model of creating meta-requirement should be undergo and the issue of meta-requirement traceability against real-world requirements should be tackle.
Alternative perspectives to Armando Simón's “Goodbye Sigmund Freud: The case for exorcising the ghost of Freud from the field of psychology”

ABSTRACT The present article is a response to Armando Simón's article: “Goodbye Sigmund Freud: The Case for Exorcising the Ghost of Freud from the Field of Psychology. ” I acknowledge Freud’s shortcomings, suggest why Freud's ideas continue to be promulgated despite these shortcomings, and argue that Freud cannot realistically be expunged from psychology. While acknowledging that Simón makes some valid points and criticisms, I offer that the present means of framing the situation better explains the issue and also is more productive/realistic in addressing this matter within a contemporary psychology milieu.
Buckling behavior of cold-formed C/Z-section purlins incorporating the effects of diaphragm and the screw location

This article presents a study on the impact of the screw location and the diaphragm effects on the buckling behavior of the simply supported C/Z-section purlins under wind uplift loadings. The diaphragm effects provided by the sheeting and the warping-torsional effect induced by load eccentricity are taken into account in the differential equations of the nonlinear twisting flexural-torsional model. The biaxial bending moments, bi-moments, as well as the flexural-torsional buckling load of the purlin can be numerically obtained with the proposed model. The global, local, and distortional buckling interaction behavior and the limit states capacities are formulated based on the modified Direct Strength Method. The effects of both the restraints provided by the sheeting and impact of the screw location on the mechanical performance of the purlins are evaluated with the proposed method. The relationship between the buckling load and rotational restraint stiffness is also provided. The proposed methodology will contribute to the assessment of buckling capacity of purlin-sheeting systems.
MicroRNA function transitions from regulating developmental genes to transposable elements during the maturation of pollen

microRNAs play important roles to control the development of eukaryotic organisms. Both animal and plant microRNAs are essential for the spatio-temporal regulation of development but together with this role, plant microRNAs also control transposable elements and stimulate the production of epigenetically-active small interfering RNAs. This last role is evident in the plant male gamete containing structure, the male gametophyte or pollen grain, but how the dual role of plant microRNAs is integrated during its development is unknown. Here, we provide a detailed analysis of microRNA dynamics during pollen development and their genic and transposable element targets using small RNA and mRNA cleavage (PARE) high-throughput sequencing. Furthermore we uncover the microRNAs loaded in the two main Argonaute proteins in the mature pollen grain, AGO1 and AGO5. Our results indicate that the developmental progression from microspore to mature pollen grain is characterized by a reprogramming from microRNAs focused on the control of development to microRNAs regulating transposable element control.
Model Prediction of the Next Runway Model using Decision Tree and Random Forest (Case Study: Big Four Fashion Week)

Abstract Fashion industry contributes 4% of global market share with USD 385.7 billion-dollar market value worldwide. Fashion Week, the most prominent event in fashion industry, is a combination between art and commerce. Fashion models is the talent that plays a big role during the fashion week, in which their aesthetic is highly associated in presenting designers’ work. However, their appearance in social network has built a deeper relationship to the industry. Choosing the talent out hundreds of faces is a challenge for casting director. The fast movement of fashion business has never evolved closely to digital utilization. This study aims to imitate the wisdom of traditional talent scouting process into an automation model based on machine learning practice by implementing Decision Tree, and Random Forest. In the era of fashion 4.0, shifting the traditional system into an automation model leads to revolution of fashion production, in this case fashion show production. Our framework is able to imitate talent scouting process to select the upcoming fashion model models appear on 2019 Fall/Winter Fashion Week with accuracy 74.57% using Random Forest. Keywords: Fashion Industry, Machine Learning, Prediction, Decision Tree, Random Forest.
Suppression of ambipolarity in tunnel-FETs using gate oxide as parameter: analysis and investigation

In this study, the authors present a double-gate tunnel field-effect transistor with dual gate oxide thickness (henceforth referred to as DOT-DGTFET) to suppress ambipolar current conduction (I amb). Conventional n-type DGTFET conducts current for negative V GS also and poses a challenge for circuit design. Conduction current in n-type DGTFET for negative V GS is referred to as ambipolar current (I amb). In the proposed DOT-DGTFET structure, a thin gate oxide of 3 nm is used towards the source–channel junction and a thick gate oxide is used towards the drain–channel junction. Use of thicker gate oxide towards drain–channel junction suppresses I amb significantly while only marginally affecting I ON. Subsequently, the proposed technique for ambipolarity suppression is compared with some of the existing techniques and they observe that DOT-DGTFET suppresses ambipolarity significantly with minimal effect on the ON state current.
Psychometric Evaluation of the Filipino Version of Caring Nurse-Patient Interaction Scale-Patient

The purpose of the study was to evaluate the psychometric properties of the Filipino version of Caring Nurse-Patient Interaction Scale-23 Patient (F-CNPI). The internal consistency reliability, linguistic, content, and construct validity was performed. Results revealed that the Filipino version of CNPI-Patient have a good fit model. The content validity index of the items ranges from 0.83 to 1.0 and the scale content validity index (S-CVI) was 0.87. The internal consistency coefficient of CNPI-Patient was 0.874. The results revealed that CNPI-Patient was revealed to be a valid and reliable instrument for measuring caring behaviors of Filipino nurse.
ATTEMPT OF ASSESSMENT OF THE LEVEL OF ENTREPRENEURIAL COMPETENCE AMONG STUDENTS OF MEDICINE AND HEALTH SCIENCES – A PILOT STUDY

Introduction: Entrepreneurial competence made up of particular personality traits (innovation, creativity, motivation to work), behaviours related to playing the role of an entrepreneur, and emotional intelligence may be considered as a universal set of skills necessary for self-development of persons functioning well in the society. A high level of entrepreneurial competence among university graduates is considered to be a key factor determining career development. Aim: The aim of the study was an attempt to assess the level of entrepreneurial competence among students of medicine and health sciences. Material: The study enrolled a total of 189 students from two university-level schools: Warsaw Medical University (n=182, 96.3%) and State Higher Vocational School in Ciechanów (n=7, 3.7%). The respondents studied at a total of seven faculties, with students of nursing comprising the largest proportion (n=67, 35.4%), followed by students of nutrition (n=63, 33.3%) and obstetrics (n=32, 16.9%). Most respondents studied full-time (n=169, 89.4%) and were first-cycle students (n=116, 61.4%). The first-year Bachelor's degree students constituted the largest proportion of the total (n=56, 29.6%), followed by the first-year (n=33, 17.5%) and second-year Master's degree students (n=38, 20.1%). Mean age of the study group amounted to 23.61 years (median: 22; min. 20, max. 53, SD: 5.4). Methods: A standardised Entrepreneurial Competence Scale comprising 23 statements to be rated on a five-point Likert scale was used in the study. This tool is used to diagnose abilities, professional success, and entrepreneurial skills. The study was conducted in March and April 2017 through an electronic questionnaire. The approval of the Ethical Review Board of Warsaw Medical University was not necessary due to the nature of the study (noninvasive survey conducted among students). Results: Most of the study participants (n=123, 65.1%) said they had clear objectives and worked hard to achieve them. Almost all respondents (n=182, 96.3%) said they felt responsibility for their work. Most of the study participants (n=131, 69.3%) were most effective when they were free to manage their leisure and working time themselves. Half of the respondents (n=97, 51.3%) believed that they were good at time and activity management. Most of the students (n=126, 66.7%) were not afraid of expressing their opinion even when it differed from other opinions. Conclusion: 1. The study group rated their entrepreneurial competence high. However, due to the fact that these skills are essential for professional development of university graduates entering the labour market, it needs to be considered whether to include the issue in the learning content. 2. This was a pilot study and hence it needs to be continued among a representative study group.