Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning Approach for Fixed and Rotary-Wing Target Detection and Classification in Radars

Recent advancements demonstrate the application of machine learning techniques to radar signal processing, particularly the use of neural networks in one-dimensional (1-D) radar data to assist constant false alarm rate (CFAR) based target detection. However, the efficacy of using neural networks alone on 2-D data for target extraction remains to be explored. This research aims to develop a novel approach of designing a convolution neural network (CNN) based target detection system for real radar data. We propose a dual neural network detection scheme in which the first neural net filters out noisy images. Thereafter, we employ a second CNN-based target detector that extracts information from both radar data axes (fast-time and slow-time), thus utilizing additional information for better detection of targets even with low SNR. Moreover, the same CNN, in conjunction with a region-based convolutional network, exploits micro-Doppler features of rotary-wing aircraft in radar returns and uses them to further classify detected targets as fixed-wing or rotary-wing aircraft. To the best of our knowledge, no generalized methodology exists to address these two issues together. The proposed solution replaces the critical CFAR and peak detection algorithms from the radar signal processing chain. This article also introduces a labeled range-Doppler images dataset obtained from real-world air traffic control radar data. Experimental results demonstrate the superior performance of the proposed technique over 1-D and 2-D CFAR and peak detection algorithms.
Springsteen-omics: contemplative pedagogy and Springsteen in undergraduate economics courses

Abstract The authors of this article describe a unique approach to economics education in which contemplative deep listening practices were applied to Bruce Springsteen’s music in order to introduce basic economic concepts to incoming university students. The course Springsteen-omics: Economics through the Songs of Bruce Springsteen shifted the mechanisms by which college students interacted with introductory economic themes, providing them with a positive perception of economics and deepening the way they think about the economy. Using a qualitative analysis of responses to several learning reflection exercises, the authors also explore the impact of this pedagogy on student learning. Their findings indicate that students gained an appreciation for Springsteen’s music and deepened their ability to identify and describe the lyrical intent and economic themes in his songs.
Strategies for the development of international sport diplomacy in the volleyball federation of the Islamic Republic of Iran

In recent years, Iran's volleyball sport has made significant progress and the Iranian national team has been able to compete in the World Volleyball League. This situation has provided the Iranian Volleyball Federation with diplomatic opportunities. The purpose of this study was to develop strategies for the development of international sport diplomacy in the volleyball federation of the Islamic Republic of Iran. This study was conducted qualitatively by interviewing Iranian volleyball officials (N = 4), academic experts in sport diplomacy (N = 4) and internationally experienced coaches and referees (N = 5). Data analysis with theme analysis techniques revealed that the five emerging themes included: challenges, principles of effective international sport diplomacy, international sport diplomacy success factors, international diplomacy development strategies in volleyball federation, and the implications of international sport diplomacy, including 18 sub-themes and 43 open codes. All these aspects are analyzed and discussed in the present study. En los últimos años, el deporte de voleibol ha logrado un progreso significativo en Irán y el equipo nacional iraní ha podido competir en la Liga Mundial de Voleibol. Esta situación ha brindado oportunidades diplomáticas a la Federación Iraní de Voleibol. El propósito de este estudio fue desarrollar estrategias para el desarrollo de la diplomacia deportiva internacional en la federación de voleibol de la República Islámica de Irán. Este estudio se realizó de forma cualitativa entrevistando a funcionarios de voleibol iraníes (N = 4), expertos académicos en diplomacia deportiva (N = 4) y entrenadores y árbitros con experiencia internacional (N = 5). El análisis de datos con técnicas de análisis temático reveló que los cinco temas emergentes incluían: desafíos, principios de la diplomacia deportiva internacional efectiva, factores de éxito de la diplomacia deportiva internacional, estrategias de desarrollo de la diplomacia internacional en la federación de voleibol y las implicaciones de la diplomacia deportiva internacional, incluyendo 18 subtemas y 43 códigos abiertos. Todos estos aspectos se analizan y discuten en el presente estudio.
An economic manufacturing quantity model with rework process for deteriorating products under maintenance-quality policy

ABSTRACT This paper presents an integrated model of three interrelated topics including the statistical process monitoring, maintenance scheduling, and production cycle length for imperfect manufacturing systems. The novelty of this paper is to take five features into consideration, including: (1) The produced items deteriorate over time, hence, the inventory is depleted in two ways i.e. responding to demand and gradually deteriorating products; (2) The non-conforming products can be reworked to increase the cost-saving by eliminating the waste items; (3) A non-uniform sampling scheme is employed such that the hazard rate does not exceed its threshold value; (4) The economic-statistical design of a control chart is used to accelerate the detection of process faults as well as reduce the risk of false alarms; and (5) The time value of money is taken into account to obtain more precise financial flow estimations. Finally, four comparative studies along with a sensitivity analysis on the most important parameters are conducted. The results confirm that considering the product deterioration and time value of money improves the model adaptability in real-world applications. Besides, employing the variable sampling scheme and the rework operations reduces the production rate of non-conforming items. The results also show that the total cost in economic-statistical model is slightly higher than that of the economic one. However, the economic-statistical model performs severely better than the economic one in terms of both in-control and out-of-control average run length metrics.
Experimental auction confirmation that social desirability bias does not predict willingness to pay for eco-labeled goods

Abstract It is often assumed that consumers’ willingness to pay (WTP) for eco-labeled products in research settings is not because of a desire for environmental protection, but rather that they are socially compelled to make decisions that reflects favorably on them, limiting the validity of findings. Using a second-price Vickrey experimental auction, this study found higher WTP for an eco-labeled product than a comparable good, but that social desirability bias, measured by the Marlowe–Crowne Social Desirability Scale, was not a significant predictor of WTP. Instead, environmental consciousness, environmental knowledge, education, and available information were stronger predictors of WTP for eco-labeled goods.
Effect of Water and Salt on the Colloidal Stability of Latex Particles in Ionic Liquid Solutions

The colloidal stability of sulfate (SL) and polyimidazolium-modified sulfate (SL-IP-2) latex particles was studied in an ionic liquid (IL) of ethylammonium nitrate (EAN) and its water mixtures. Aggregation rates were found to vary systematically as a function of the IL-to-water ratio. Repulsive electrostatic interactions between particles dominated at low IL concentrations, while they were significantly screened at intermediate IL concentrations, leading to destabilization of the dispersions. When the IL concentration was further increased, the aggregation of latex particles slowed down due to the increased viscosity and finally, a striking stabilization was observed in the IL-rich regime close to the pure IL solvent. The latter stabilization is due to the formation of IL layers at the interface between particles and IL, which induce repulsive oscillatory forces. The presence of the added salt in the system affected differently the structure of the interfaces around SL and SL-IP-2 particles. The sign of the charge and the composition of the particle surfaces were found to be the most important parameters affecting the colloidal stability. The nature of the counterions also plays an important role in the interfacial properties due to their influence on the structure of the IL surface layers. No evidence was observed for the presence of long-range electrostatic interactions between the particles in pure ILs. The results indicate that the presence of even low concentrations of water and salt in the system (as undesirable impurities) can strongly alter the interfacial structure and thus, the aggregation mechanism in particle IL dispersions.
Assessment of compressive strength of historic mixed masonry

AbstractThe majority of load-bearing masonry structures of historic buildings are built of mixed or stone masonry composed of regular or irregular (so-called quarry) masonry units – bricks, sedimentary and metamorphic rock – possessing often very different physical and mechanical characteristics. The identification of residual mechanical properties of stone or mixed masonry of irregular walling units requires the application of a suitable diagnostic method, the assessment of the phase of degradation processes and the choice of an appropriate probabilistic model for the strength of mixed masonry. The presented experimental research involves the analysis of the heterogeneity (homogeneity) of mixed masonry of a church from the 17th century. The probabilistic model for masonry strength is developed on the basis of destructive and non-destructive testing of masonry units and mortar. It appears that the probabilistic approach leads to a design value by 75% higher than the deterministic approach.
Prevalence of Obesity and Overweight Stratified by Age Group of the 34 Provinces in Indonesia: Local Empirical Bayesian Estimation

Background: Indonesia is one of the countries most affected by a high prevalence of obesity and overweight among other lower-middle-income countries. Most studies, however, are not concerned with the geographical dependence of the obesity and prevalence of overweight. The purpose of this study was to describe the prevalence of obesity and overweight stratified by age group among 34 provinces in Indonesia. Methods: This study used data from the Report on Basic Health Research 2018 of the Indonesian Ministry of Health. We calculated data to find the estimated prevalence of obesity and overweight in each age group across 34 provinces (n=427,675) by using the local empirical Bayesian estimation. The mapping was used to show the phenomenon of obesity and overweight in different age groups and areas. Results: In each group, the overweight prevalence was much higher than the obesity prevalence. Age group 18+ had the highest prevalence of obesity and overweight (obesity: 10.4–30.1%, overweight: 19.2–46.3%) followed by the age group of 5–12 years (obesity: 2.4–15.0%, overweight: 6.1–30.3%). The province with the highest prevalence of obesity among the age group of 5–12 years was Papua province and for the 18+ age group it was North Sulawesi province. The province with the largest number of obesity and overweight was West Java province for each group. Conclusion: Prevalence of obesity and overweight differed by age group and by 34 provinces.
Effect of Nano-Sized Energetic Materials (nEMs) on the Performance of Solid Propellants: A Review

As a hot research topic, nano-scale energetic materials have recently attracted much attention in the fields of propellants and explosives. The preparation of different types of nano-sized energetic materials were carried out, and the effects of nano-sized energetic materials (nEMs) on the properties of solid propellants and explosives were investigated and compared with those of micro-sized ones, placing emphasis on the investigation of the hazardous properties, which could be useable for solid rocket nozzle motor applications. It was found that the nano-sized energetic materials can decrease the impact sensitivity and friction sensitivity of solid propellants and explosives compared with the corresponding micro-sized ones, and the mechanical sensitivities are lower than that of micro-sized particles formulation. Seventy-nine references were enclosed.
Controllable synthesis of 0D, 1D, and 2D nano lanthanum borates and their dispersion stabilities and tribological properties in rapeseed oil

Abstract 0D, 1 D and 2 D nano lanthanum borates were prepared by changing the reaction conditions of the hydrothermal method. The effect of reaction time, pH value, temperature, and reactant molar ratio on the shapes and sizes were investigated. The as-obtained nano lanthanum borates were demonstrated by scanning electron microscope (SEM), FT-IR and water contact angle test. The dispersion stability was then evaluated by a spectrophotometry. Moreover, the tribological properties of the prepared 0 D, 1 D and 2 D nano lanthanum borates as lubricating additives in rapeseed oil were investigated on a four-ball tribo-tester. Furthermore, the contact model and underlying lubricating mechanisms were proposed based on the results of surface analysis. The results indicated that nano lanthanum borates with different shapes and sizes could be obtained by regulating the reaction conditions of a hydrothermal method. Ethanol rapid evaporation ultrasonic dispersion method and stearic acid surface modification could improve the dispersion stability of nano lanthanum borates in rapeseed oil. In addition, the as-obtained 0 D, 1 D and 2 D nano lanthanum borates could significantly facilitate the anti-wear and friction-reducing properties of rapeseed oil, especially for 2 D nanoflakes. The enhanced lubricating performance of 2 D lanthanum borate nanoflakes might be attributed to the combined action of relatively lower loads under planar contact forms, thicker and stronger adsorption film generated by plate-like additives, and the enhanced activity of boron atoms and the increased boron-permeation amount on the friction surface to form tribochemical films containing Fe2O3, B2O3 and La2O3. Graphical Abstract
The challenges of emotion recognition methods based on electroencephalogram signals: a literature review

Electroencephalogram (EEG) signals in recognizing emotions have several advantages. Still, the success of this study, however, is strongly influenced by: i) the distribution of the data used, ii) consider of differences in participant characteristics, and iii) consider the characteristics of the EEG signals. In response to these issues, this study will examine three important points that affect the success of emotion recognition packaged in several research questions: i) What factors need to be considered to generate and distribute EEG data? , ii) How can EEG signals be generated with consideration of differences in participant characteristics? , and iii) How do EEG signals with characteristics exist among its features for emotion recognition? The results, therefore, indicate some important challenges to be studied further in EEG signals-based emotion recognition research. These include i) determine robust methods for imbalanced EEG signals data, ii) determine the appropriate smoothing method to eliminate disturbances on the baseline signals, iii) determine the best baseline reduction methods to reduce the differences in the characteristics of the participants on the EEG signals, iv) determine the robust architecture of the capsule network method to overcome the loss of knowledge information and apply it in more diverse data set.
Measuring end-to-end delay in real-time auralisation systems

One of the major challenges in the development of an immersive system is handling the delay between the tracking of the user’s head position and the updated projection of a 3D image or auralised sound, also called end-to-end delay. Excessive end-to-end delay can result in the general decrement of the “feeling of presence”, the occurrence of motion sickness and poor performance in perception-action tasks. These latencies must be known in order to provide insights on the technological (hardware/software optimization) or psychophysical (recalibration sessions) strategies to deal with them. Our goal was to develop a new measurement method of end-to-end delay that is both precise and easily replicated. We used a Head and Torso simulator (HATS) as an auditory signal sensor, a fast response photo-sensor to detect a visual stimulus response from a Motion Capture System, and a voltage input trigger as real-time event. The HATS was mounted in a turntable which allowed us to precisely change the 3D sound relative to the head position. When the virtual sound source was at 90o azimuth, the correspondent HRTF would set all the intensity values to zero, at the same time a trigger would register the real-time event of turning the HATS 90o azimuth. Furthermore, with the HATS turned 90o to the left, the motion capture marker visualization would fell exactly in the photo-sensor receptor. This method allowed us to precisely measure the delay from tracking to displaying. Moreover, our results show that the method of tracking, its tracking frequency, and the rendering of the sound reflections are the main predictors of end-to-end delay.
Critical Link Identification for Traffic Incident Management Programme under Degradable Stochastic Network

This paper proposed a new index called traffic incident management ratio (TIMR) for identifying appropriate roads to be installed with traffic incident management system. The TIMR is defined as the ratio between the expected total travel costs of the degradable transport network without and with traffic incident management programme (TIMP). The traffic flow pattern under the degradation network without TIMP is assumed to follow User Equilibrium (UE) condition, whereas the system optimum (SO) assignment is used to characterise the degradable network condition controlled by TIMP. The main function of TIMP considered in this paper is re-routing of traffic after the incident. An optimisation programme is then proposed for identifying critical roads in the network for an installation of TIMP. The critical roads for TIMP is identified by maximising the TIMR which implies that incidents on these critical roads can significantly increase the total network travel time without TIMP in which the installation of TIMP on these links can decrease the impacts significantly. The proposed model can also quantify the critical level of link capacity degradation. The model and algorithm are tested with a network to illustrate the application of the proposed model.
IN-IDRIS: MODIFICATION OF IDRIS STEMMING ALGORITHM FOR INDONESIAN TEXT

Stemming has an important role in text processing. Stemming of each language is different and strongly affected by the type of text language. Besides that, each language has different rules in the use of words with an affix. A large number of the words used in the Indonesian language are formed by combining root words with affixes and other combining forms. One of the problems in Indonesian stemming is having different types of affixes, and also having some prefixes that changes according to the first letters of the root words. Implementing Idris stemmer for Indonesian text is of interest because Indonesia and Malaysia have the same language root. However, the results do not always produce the actual word, because the Idris algorithm first removes the prefix according to Rule 2. This elimination directly affected the Idris stemmer result when implemented to Indonesian text. In this study, we focus on a modified Idris stemmer (from Malay) to IN-Indris with Indonesia context. In order to test the proposed modification to the original algorithm, Indonesian online novels excerpts are used to measure the performance of IN-Idris.test was conducted to compare the proposed algorithm with other stemmers. From the experiment result, IN-Idris had an accuracy of approximately 82.81%. There was an increased accuracy up to 5.25% when compared to Idris accuracy. Moreover, the proposed stemmer is also running faster than Idris with a gap of speed of around 0.25 seconds. ABSTRAK: Stemming mempunyai peranan penting dalam pemprosesan teks. Stem setiap bahasa adalah berbeza dan sangat dipengaruhi oleh jenis bahasa teks. Selain itu, setiap bahasa mempunyai peraturan yang berbeza dalam penggunaan kata dengan awalan. Sebilangan besar kata-kata yang digunakan dalam bahasa Indonesia dibentuk dengan menggabungkan kata akar dengan afiks dan bentuk gabungan lain. Salah satu masalah dalam bahasa Indonesia adalah mempunyai pelbagai jenis awalan, dan juga mempunyai beberapa awalan yang berubah sesuai dengan huruf pertama kata dasar. Menerapkan stemder Idris untuk teks Indonesia adalah minat kerana Indonesia dan Malaysia mempunyai akar bahasa yang sama. Namun, hasilnya tidak selalu menghasilkan kata yang sebenarnya, kerana algoritma Idris pertama kali menghapus awalan menurut Peraturan 2. Penghapusan ini secara langsung mempengaruhi hasil batang Idris ketika diterapkan ke teks Indonesia. Dalam kajian ini, kami memfokuskan pada stemmer Idris yang diubahsuai (dari bahasa Melayu) ke IN-Indris dengan konteks Indonesia. Untuk menguji cadangan pengubahsuaian pada algoritma asli, petikan novel dalam talian Indonesia digunakan untuk mengukur prestasi IN-Idris. Ujian dilakukan untuk membandingkan algoritma yang dicadangkan dengan stemmer lain. Dari hasil eksperimen, IN-Idris mempunyai ketepatan sekitar 82,81%, ada peningkatan ketepatan hingga 5,25% dibandingkan dengan ketepatan Idris. Selain itu, stemmer yang dicadangkan juga berjalan lebih cepat daripada Idris dengan jurang kelajuan sekitar 0.25 saat.