Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Deep Learning improve technical analysis of Forex data to predict future price movements?

The foreign exchange market (Forex) is the world’s largest market for trading foreign money, with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated and volatile. Technical analysis is the observation of past market movements with the aim of predicting future prices and dealing with the effects of market movements. A trading system is based on technical indicators derived from technical analysis. In our work, a complete trading system with a combination of trading rules on Forex time series data is developed and made available to the scientific community. The system is implemented in two phases: In the first phase, each trading rule, both the AI-based rule and the trading rules from the technical indicators, is tested for selection; in the second phase, profitable rules are selected among the qualified rules and combined. Training data is used in the training phase of the trading system. The proposed trading system was extensively trained and tested on historical data from 2010 to 2021. To determine the effectiveness of the proposed method, we also conducted experiments with datasets and methodologies used in recent work by Hernandez-Aguila et al. from 2021 [32] and by Munkhdalai et al. from 2019 [31]. Our method outperforms all other methodologies for almost all Forex markets, with an average percentage gain of 20.2%. A particular focus was on training our AI-based rule with two different architectures: the first is a widely used convolutional network for image classification, i.e. ResNet50; the second is an attention-based network Vision Transformer (ViT). The results provide a clear answer to the main question that guided our research and which is the title of this paper.
Microsensors, MEMS, and Smart Devices

From the Publisher: From the electronic nose and the intelligent ear to the modern ink jet nozzle, the applications of smart devices incorporating microsensors are increasing rapidly. Microsensors are miniature devices that convert a non-electrical quantity into an electrical signal. By integrating a microsensor with a microprocessor, a smart sensor is produced. Further integration with a microactuator produces a microsystem with multifunctional electrical and mechanical components known as micro-electrical mechanical systems (MEMS).
High-performance normally-off recessed tri-gate GaN MIS-FETs in micrometer scale

In this study, a normally-off AlGaN/GaN metal–insulator–semiconductor field-effect transistor (MIS-FET) based on the combination of tri-gate and recessed MIS gate is fabricated and characterized. The recessed tri-gate MIS-FET is manufactured by micro-level trenches, defining the fin-shaped channel and improving the gate control capability. The recessed surface is cleaned by a diluted buffered oxide etch, HCl solution, and tetramethylammonium hydroxide treatment before a 20 nm Al2O3 deposition by atomic layer deposition. After deposition, post-deposition annealing was carried out. Recessed tri-gate MIS-FET demonstrates a high threshold voltage of 3.1 V, a high drain current of 1121 mA mm−1, and an on/off current ratio of 2 × 108. A smaller on-resistance of 5.4 Ω mm compared with recessed planar MIS-FET of 12.7 Ω mm is achieved. Besides, the devices show a low I–V hysteresis. All experimental results confirm micro-level trenches realize the advantages of the recessed tri-gate structures, which supports a promising technique to pursue the normally-off operation of GaN high electron mobility transistors.
Knowledge-Based Scheduling of Arrival Aircraft in the Terminal Area

A knowledge based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real time simulation. The scheduling system automatically sequences, assigns landing times, and assign runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithm is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reductions, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithm is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper describes the scheduling algorithms, gives examples of their use, and presents data regarding their potential benefits to the air traffic system.
Computational mechanisms of development? Connectionism and bilingual lexical representation

The Ontogenesis Model (OM) of Bordag, Gor and Opitz (2021) is a good example of applying computational thinking to the study of key issues in bilingual lexical representation. With the introduction of two critical computational concepts – namely, Multidimensionality and Fuzziness – this model aims at explaining bilingual lexical representation through a theoretical framework of ‘ ontogenesis ’ . A key feature of the model – that distinguishes itself from other bilingual computation-minded models such as BIA and BIA+, as the authors argue – is the focus on development of lexical representation (hence, ontogenesis in the name of the model). This focus is particularly important, and since the earliest days of BIA and BIA+ models, there has been an urgent need for the field to move from ‘ proficient bilingual model ’ to ‘ developmental bilingual model ’ (Li, 2002). While the OM provides a good illustration of the complexity and the dynamic nature of bilingual lexical representation, it falls short of delivering the key promise on accounting for the DEVELOPMENTAL processes and underlying principles of bilingual lexical representation. In our view, there are significant gaps with the current formulation of the OM model as either a theoretical or an analytic framework. First and foremost, it largely dismisses the significant amount of work in the past two decades that has been devoted to address precisely the same questions that OM asks,
Diagnostic utility of measuring lactate dehydrogenase levels and its isoenzyme activities for the evaluation of malignancy in feline pleural effusion and ascitic fluid

Background: Lactate dehydrogenase (LDH) isoenzymes may be useful in the differential diagnosis of pleural effusion (PE) and ascitic fluid (AF) etiologies in cats since tissue damage induces their release, changing the pattern of their activity. Aim: This study aimed to determine the diagnostic utility of measuring LDH levels and isoenzyme activities in PE or AF in cats with malignancy. Methods: LDH levels and isoenzyme activities in the serum, PE, and AF were compared among cats in the malignant, infectious, and non-malignant, non-infectious groups. A receiver operating characteristic (ROC) analysis was performed to assess the accuracy in diagnosing feline malignancy. Results: Significant differences in LDH level and LDH isoenzyme activities in the PE and AF were observed among the three groups. The combination of LDH level and LDH-1 activity in PE or AF had the highest area under the ROC (AUC) values for discriminating malignant effusion from non-malignant effusion. The AUC of the combination of LDH level and LDH-1 activity in PE or AF was 0.874. The sensitivity and specificity of using the combination of LDH level (cut-off: <2,269 U/l) and LDH-1 activity (cut-off: <4.8%) in PE or AF for predicting malignancy with the highest AUC value were 94.4% and 72.7%, respectively. Conclusion: Our results suggest that the combination of LDH level and LDH-1 activity in PE or AF is a potential factor for diagnosing malignancy. Considering that LDH isoenzymes can be measured inexpensively and easily, LDH tests can be readily accommodated in veterinary clinical practice.
LQR controller for active car suspension

The suspension system is classified as a passive, semi-active, and active suspension, according to its ability to add or extract energy. An automotive active suspension control has been one of the favourite subjects in the automotive research area. The advantages of an automotive active suspension system have been promised for many years. The objectives of the control scheme are to improve the ride quality and handling performance within a given suspension stroke limitation. The ride quality is measured by the vertical acceleration of the vehicle body called the sprung mass. The handling performance is determined by the tyre deflection, which is the difference of position between the wheel and the road surface input. The paper analyses the aspects of passive and active suspensions and focuses on the ride quality improvement. The LQR control scheme is selected to control an actuator in an active suspension. The result shows that the ride quality can be improved using an active suspension.
Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images

Deep learning for computer vision has achieved remarkable results based on massive, diverse, and well-annotated training sets. However, it is difficult to collect defect datasets that cover all possible features, especially for small, weak defects. Therefore, in this article, a defect image generation method with controllable defect regions and strength is proposed. Regarded as image inpainting that uses a generative adversarial network, generated defect regions are controlled by using defect masks. Moreover, the defect direction vector is constructed in the latent variable space based on the feature continuity between defects and nondefects to control the defect strength, which enables a one-to-many correspondence between defect masks and images. Moreover, a defect attention loss is also designed to force the generation model to focus on the defect regions. Experimentally, our method yields generated images of better quality and diversity and thus significantly improves defect segmentation performance (an intersection over union of 63.20% and 61.86% on the Kolektor surface-defect and the metal hook defect datasets, respectively), especially for small, weak defects.
Microfabricated tunable bending stiffness device

This paper reports a device with tunable bending stiffness realized by microfabrication technology. Based on the newly proposed principles, two types of devices whose bending stiffness were controlled by electrostatic force and pneumatic force were fabricated. From the analysis and experiments, the feasibility of the proposed principles were confirmed and the performances of the prototyped devices were demonstrated.
The Status of Vitamin D Among Children Aged 0 to 18 Years

Ad dress for Cor res pon den ce Esma Altınel Açoğlu, University of Health Sciences Turkey, Ankara Dr. Sami Ulus Gynecology, Child Health and Diseases Training and Research Hospital, Clinic of Pediatrics, Ankara, Turkey Phone: +90 505 874 48 06 E-mail: esmaaltinel@hotmail.com ORCID: orcid.org/0000-0003-0333-6979 Re cei ved: 11.12. 2020 Ac cep ted: 18.03. 2021 1University of Health Sciences Turkey, Gülhane Faculty of Medicine, Department of Medical Education, Ankara, Turkey 2Provincial Health Directorate, Ankara, Turkey 3University of Health Sciences Turkey, Ankara Dr. Sami Ulus Gynecology, Child Health and Diseases Training and Research Hospital, Clinic of Pediatrics, Ankara, Turkey Eyüp Sarı1, Gülnur Çoban2, Fatma Zehra Öztek Çelebi3, Esma Altınel Açoğlu3
Power Optimization of Binary Multiplier Based on FPGA

• Different multiplication algorithms are implemented using Xilinx System Generator. • A new approach is called the VHDL approach used for dynamic power minimization. • The reconstruction method is used to implement the multiplication algorithms. • The multiplication algorithms are realized on FPGA using the Xilinx Spartan 3A kit. • Dynamic power dissipation is varied proportionally with the operating frequency. In the VLSI circuits, power dissipation is a critical design parameter and it plays a vital role in the performance of different digital systems. The decrease in chip size along with the increase in chip density and complexity will increase the difficulty in designing higher performance and low power digital systems. Therefore, achieving a fast and low power system is the major concern of VLSI designers. Most of the digital systems have different math operations in their architectures. This paper focuses on the multiplication operation. Multiplication requires more iterations, long time, large area, and consumes high power of the digital system compared with the other basic computation operations. Hence to improve the system's performance, it is required to design a high speed and low power multiplier. In this paper, a dynamic power dissipation is targeted; therefore, different designs of multiplier algorithms such as a sequential multiplier, array multiplier, Booth’s multiplier (Radix-2), and modified Booth’s multiplier (Radix4) are proposed to investigate the design that consumes the lowest dynamic power. New techniques such as VHDL and Basic Logic Elements are presented and applied to the proposed designs. The VHDL approach satisfies the highest optimization criteria in dynamic power at 87% for the sequential multiplier than the traditional ones. A R T I C L E I N F O Handling editor: Jawad K. Ali
Power supply considerations for pulsed solid-state radar

It is pointed out that high-power, pulsed, solid-state radar transmitters require special considerations for the power supplies. Unlike their vacuum tube predecessors, the solid-state transmitter amplifier operates from a low voltage (LV) power supply. High power at low voltage implies very high peak currents. The state of art is such that these high peak currents must be provided by energy storage capacitors located in close proximity to the RF power amplifiers. The power supply, then, must serve the function of a precision capacitor recharging circuit. The power supply is an integral part of the transmitter design and its design requirements are driven by the RF output power and transmitter stability requirements. The stability of the power supply is one of the most important factors in achieving the specified performance criteria for the radar system. <<ETX>>
Distributed reactive motion control for dense cooperative sweep coverage of corridor environments by swarms of non-holonomic robots

Dubins-car like robots with limited control ranges have to autonomously form the densest net across a corridor environment, then to keep this formation, and to sweep the corridor with a given speed. The robots do not communicate with anybody, cannot distinguish between the partners, cannot play distinct roles in the team, and are unaware of the team size or corridor width. Every robot has access to the relative coordinates of the objects within a finite sensing range and measures its own speed. It is shown that the mission can be fully solved by a lower-level, continuous-time, and computationally inexpensive distributed control law. The proposed controller is common for all robots, individually operates at any of them and is reactive, i.e. it directly converts the current sensory data into the current control in a reflex-like fashion. The performance of the navigation algorithms is justified via a mathematically rigorous non-local convergence result for the corridors with straight parallel walls and is demonstrated via computer simulation tests in more complicated cases.
Study on a transient optical fiber high temperature measurement system

High temperature is one of the most important parameters in the fields of scientific research and industrial production. At present, thermocouple, thermo resistive and radiance thermometer are already technologically mature which can be adopted to measure the general temperature, but when it comes to the transient high temperature that changes pretty quickly in wretched conditions, those traditional pyrometers can not meet the requirements any more. In this paper, we designed a transient optical high temperature measurement system. First, design of the temperature measurement probe. The system took blackbody cavity sensor together with optical fiber to receive the measured signal, here, the integrated emissivity model of the blackbody cavity was established and the optimum structure parameters were confirmed. Secondly, design of the entire temperature measurement system. A contact-noncontact measurement method was applied, which is to make the blackbody cavity and the measured high-temperature source contact, the fiber probe and the blackbody cavity noncontact, as a result, the error caused by contact measurement is overcame and the precision is guaranteed at the same time. In addition, a fiber grating was introduced as the wavelength filter device which can realize the dynamic filter of narrow-band signals and reduce the impact of background light. Thirdly, signal processing. In this part, we applied labVIEW software and wavelet analysis method. All of the signal acquisition and processing were realized in the labVIEW environment. Through calling matlab in labVIEW, the signals from optical fiber detector were wavelet denoised and decomposed, thus the temperature information was extracted, and the temperature value was obtained. On basis of wavelet transformation, the paper adopted the 4dB wavelet with horizontal scale of 5 to realize the feature extraction and noise removal, parts of the signals before and after the wavelet noise removal were given and analyzed. Finally, the experimental result shows: the resolution is 1°C,the measurement range is 500~2000°C and the dynamic response time is 5s.In view of possessing a high precision and resolution, resisting high temperature and corrosion, and being able to realize the continuous measurement of the dynamic temperature, this transient optical fiber high temperature measurement system can be applied widely in the continuous temperature measurement of molten steel and heating furnace kiln temperature measurement and so many other fields of engineering technology.
Determination of antimicrobial and fungicidal properties of experimental disinfectant "Sukhodez"

The results of the study of antimicrobial and fungicidal properties of the experimental preparation “Sukhodez” against microorganisms E. coli, Salmonella enteritidis, Staphylococcus aureus and fungi Candida albicans in the laboratory are presented. The aim of the research. To study the antimicrobial and fungicidal properties of powdered disinfectant and analyze the prospects for its further use in a set of anti-epizootic measures in particular in poultry farms. Materials and methods. The research was conducted during 2021 at the Department of Veterinary Examination, Microbiology, Zoohygiene and Safety and Quality of Animal Products of the Faculty of Veterinary Medicine of Sumy National Agrarian University. Evaluation of bactericidal properties of the experimental agent “Sukhodez” was determined on museum strains of E. coli ATCC 25922, Salmonella enteritidis ATCC 13076 and Staphylococcus aureus ATCC 6538, fungicidal properties were studied on fungi Candida albicans. All cultures were standardized to 109 CFU / cm3. Results. It is established that as a result of the conducted researches at studying preparation “Sukhodez” antimicrobic properties, it had high efficiency concerning action on strains of both gram-positive and gram-negative bacteria. It had a detrimental effect on bacteria when applied to concrete at an exposure of 1 hour with a rate of 75 mg per 1 m2, and had the same effect as when applied to a wooden surface, where it expressed antimicrobial action at a rate of 50 mg/m2 after 4 hours. When determining the fungicidal properties, it was found that when exposed to 5 hours, the preparation “Sukhodez” had an effect on study contaminated objects with a rate of 50 mg/m2, and with a rate of 75 mg/m2 inhibited the growth of fungi for 1 hour. Conclusions. It was found that the most sensitive to the preparation “Sukhodez” were the culture of Salmonella enteritidis – at a rate of 25 g / m2 and action on concrete and wooden surfaces, the disinfectant inhibited the growth of the culture when exposed to 5 hours, and at a rate of 50 g / m2 – for 2 years. Staphylococcus aureus was the most stable bacterial culture, so at a rate of 50 g / m2 on concrete and wood surfaces, bacterial growth was inhibited for 4 and 5 hours, respectively. At the same time, in the study of fungicidal properties, “Sukhodez” showed a fungicidal effect on Candida albicans when applied to a concrete surface at a rate of 50 mg / m2 for 3 hours, when applied to a wooden surface – for 4 hours. In general, at a rate of 75 g / m2, “Sukhodez” has an instant bactericidal and fungicidal effect on bacteria and fungi applied to concrete and wooden surfaces
Identifying stage-associated hub genes in bladder cancer via weighted gene co-expression network and robust rank aggregation analyses

Background: Bladder cancer (BC) is among the most frequent cancers globally. Although substantial efforts have been put to understand its pathogenesis, its underlying molecular mechanisms have not been fully elucidated. Methods: The robust rank aggregation approach was adopted to integrate 4 eligible bladder urothelial carcinoma microarray datasets from the Gene Expression Omnibus. Differentially expressed gene sets were identified between tumor samples and equivalent healthy samples. We constructed gene co-expression networks using weighted gene co-expression network to explore the alleged relationship between BC clinical characteristics and gene sets, as well as to identify hub genes. We also incorporated the weighted gene co-expression network and robust rank aggregation to screen differentially expressed genes. Results: CDH11, COL6A3, EDNRA, and SERPINF1 were selected from the key module and validated. Based on the results, significant downregulation of the hub genes occurred during the early stages of BC. Moreover, receiver operating characteristics curves and Kaplan–Meier plots showed that the genes exhibited favorable diagnostic and prognostic value for BC. Based on gene set enrichment analysis for single hub gene, all the genes were closely linked to BC cell proliferation. Conclusions: These results offer unique insight into the pathogenesis of BC and recognize CDH11, COL6A3, EDNRA, and SERPINF1 as potential biomarkers with diagnostic and prognostic roles in BC.
Optical countermeasures and security of free-space optical communication links

Information transmitted by free-space optical (FSO) communication systems is generally well protected from unauthorized access (eavesdropping) by narrow divergence of laser beams and absence of narrow-band (about 20 nm) optical filters tunable within a wide wavelength range. However, in certain circumstances such an access is still possible, due to the fact, that part of the communication beam radiation is reflected and/or scattered by solid objects within the beam, dust and/or water droplets on window panes, and particles of atmospheric aerosol. If the wavelength is known a priory, and if specially designed equipment is used, detection and eavesdropping may be implemented under some specific conditions at distances up to several hundred meters. Recommendations are presented on measures that should be taken to prevent unauthorized access to FSO communication links.