Miracle-dz/UniFAR-FTUs huggingface dataset:
Indoor Femtocell Interference Localization

Femtocells can extend the last-mile accessibility for the current cellular networks so as to serve more users indoors and improve the spectrum utility. However, since the indoor femtocell establishment can be ad hoc, HeNBs may also be inevitably vulnerable to the rogue-HeNB (uncoordinated or illegitimate HeNB) attack in practice. For detecting rogue-HeNBs, a two-dimensional received signal-to-interference-plus-noise ratio (SINR) map is exploited to construct a spatial radio-activity feature map (RAFM). Mathematical proof is derived to justify that the existence of any femtocell interference corresponds to a flat-bottom convex region in the RAFM. Advanced image processing techniques are designed here to localize the radio interference (rogue-HeNB) over the RAFM. Thus, a novel positioning scheme is proposed in this paper to undertake the accurate rogue-HeNB localization for the femtocell networks. Different indoor scenarios are evaluated through the real experiments for our proposed method. The average accuracy can be within one meter for a 6.75 meter by 8.1 meter laboratory.
DESIGN OF COMPACT ELECTRONICALLY-TUNED BANDPASS FILTER WITH SHARP REJECTION SKIRT USING THE TRANS-DIRECTIONAL COUPLED LINE

A compact frequency-tuned bandpass filter (BPF) with sharp rejection characteristic is presented. It is composed of a trans-directional (TRD) coupled line and two short-circuited stubs. By changing the capacitor values of the coupled line and the electrical lengths of the short-circuited stubs, a frequency-tuned BPF with sharp rejection is obtained. For verification, a prototype tuned from 1.0 GHz to 1.6 GHz (46.2%) is designed and fabricated. The measured results show that the proposed structure exhibits the return loss of more than 17 dB, the insertion loss of 1.4 dB, and the 3-dB fractional bandwidth (BW) of 43.2–50%. Sharp rejections are also obtained, agreeing well with the simulation results.
Comparison of Fatty Acids in Liver Lipids from Various Sizes of Squid (Illex argentinus)

A comparison was made of the fatty acid composition in the liver for various sizes of squid (Illex argentinus). The proportion of 14:0, 16:0, 16:1 n-7, and 18:1 n-9 increased, while that of 18:0, 20:4 n-6, and 22:6 n-3 decreased with increasing liver weight. The proportion of 20:5 n-3 was found to be almost constant for any size of liver.
Wavelet Kernel-Based Convolutional Neural Network for Localization of Partial Discharge Sources Within a Power Apparatus

This article presents a new convolutional neural network (CNN) topology using wavelet kernels to detect and discriminate single or multiple partial discharge (PD) locations in high voltage power apparatus with increased accuracy. The method is tested on an electrical equipment model with acoustic PD sensors. A cubical tank has been emulated in the laboratory representing the equipment under test and partial discharge sources have been placed at different positions along with the required data acquisition hardware. The present scheme eliminates the requirement of separate algorithms for feature extraction and classification of the acquired PD signals. Wavelet kernels of the CNN play a crucial role in feature learning, and the proposed CNN architecture as a whole, can classify the features in a supervised manner. The performance of the proposed scheme is compared with other existing methods using the same data set. It is found that an overall accuracy of 97.64% is achieved by the proposed method, outperforming other existing methods by a significant margin of at least 5% in terms of accuracy. The developed module is a generic one and can be adapted for different high voltage electrical apparatus with similar topological structures; hence, it can be used in various ways in power industry.
Accurate and Fast Recovery of Network Monitoring Data With GPU-Accelerated Tensor Completion

Monitoring the performance of a large network would involve a high measurement cost. To reduce the overhead, sparse network monitoring techniques may be applied to select paths or time intervals to take the measurements, while the remaining monitoring data can be inferred leveraging the spatial-temporal correlations among data. The quality of missing data recovery, however, highly relies on the specific inference technique adopted. Tensor completion is a promising technique for more accurate missing data inference by exploiting the multi-dimensional data structure. However, data processing for higher dimensional tensors involves a large amount of computation, which prevents conventional tensor completion algorithms from practical application in the presence of large amount of data. This work takes the initiative to investigate the potential and methodologies of performing parallel processing for high-speed and high accuracy tensor completion over Graphics Processing Units (GPUs). We propose a GPU-accelerated parallel Tensor Completion scheme (GPU-TC) for accurate and fast recovery of missing data. To improve the data recovery accuracy and speed, we propose three novel techniques to well exploit the tensor factorization structure and the GPU features: grid-based tensor partition, independent task assignment based on Fisher-Yates shuffle, sphere facilitated and memory-correlated scheduling. We have conducted extensive experiments using network traffic trace data to compare the proposed GPU-TC with the state of art tensor completion algorithms and matrix-based algorithms. The experimental results demonstrate that GPU-TC can achieve significantly better performance in terms of two relative error ratio metrics and computation time.
Prospects for the creation of smart homes using energy-saving wall ceramic materials

The article discusses the prospects of energy saving in a ‘smart home’, taking into account the characteristics of consumer behavior. It is shown that the technical characteristics of the building in conditions of insufficient consumer awareness (passive approach to energy conservation) are preferable to the characteristics associated with intelligent solutions (active approach). It was revealed that special attention is paid to assessing the possibility of reducing the energy loss of a building by wall enclosures. In this regard, the effectiveness of the use of popular wall structural and heat-insulating materials, which reduce energy and material consumption in their production, is analyzed. The rationality of the production of porous ceramic products by the method of introducing into the mixture of mineral pore-forming additives with plastic molding is proved. A composition of porous ceramic material has been developed using local raw materials to create wall structural and heat-insulating products that meet the requirements of energy conservation.
Honeybee swarms accept bait hives contaminated with American foulbrood disease

Afin d'etudier les relations entre les abeilles et les maladies, les preferences des essaims pour ou contre les ruches contenant des rayons de cire contamines avec la maladie americaine infectant les couvains ont ete etudies. Les abeilles indiquent, par leur comportement, l'evolution de leur maladie
Darwin's Pet Galápagos Tortoise, Chelonoidis darwini, Rediscovered

Abstract During the voyage of the Beagle, Charles Darwin collected a single juvenile tortoise from James (San Salvador or Santiago) Island in the Galápagos Archipelago. This specimen, often referred to as Darwin's “pet” tortoise was returned alive to England along with 3 other small tortoises and examined by J.E. Gray. The subsequent fate of the specimen has been the source of much speculation, and recent popular publications have variously proposed that the tortoise was transported to Australia (where it supposedly lived to an age of more than 175 years) or that it remained in England but disappeared without a trace. We discovered that Darwin's pet was indeed registered into the British Museum collection in 1837 and that it is still extant and clearly labeled on the inner face of the plastron as BMNH 1837.8. 13.1 from James Island. These data were overlooked for more than 170 years, and 3 curators (Gray, Günther, and Boulenger) who published chelonian catalogues between 1844 and 1889 all failed to recognize this specimen as Darwin's tortoise, mentioning it only as a stuffed juvenile of unknown provenance. Günther referred the specimen to his newly erected Testudo ephippium, subsequently regarded as endemic to Abingdon (Pinta) Island, but confirmation of the specimen's James Island origin implies that Darwin's pet tortoise is, appropriately, referable to Chelonoidis darwini.
The Pharmacological Evaluation of Flax Seed Oil

Flax seed oil is important food and nutrition sources. It has a low content of saturated fatty acids (9% of all the fatty acids), a moderate content of single saturated fatty acids (about 18%) and a high content of unsaturated fatty acids (about 73%). This oil can be used as a nutritional supplement and is significant in respect of containing omega-3 fatty acid, especially a high level of ALA and a low level of omega-6 fatty acids. The protein content of flax seed varies between 20-30%, and it contains a high level of globulin (linin and conlinin) and gluten. The proportion of non-protein nitrogen constitutes 21.7% of the total nitrogen content. The total nitrogen content has been reported as 3.25g/100 grams of seed. Today, flax seed stands out among the functional additives in the food industry due to the presence of α-linolenic acid, lignans and fibers in its content. Among the oils obtained from seeds, flax seed comes into prominence since it has high contents of α-linoleic acid (ALA, 18:3n-3) and lignans. Flax seed contains oil by 35-45%, and 45-52% of it consists of ALA. ALA is classified as omega-3 group fatty acid and has anti-inflammatory, antithrombotic and antiarrhythmic characteristics.
Improvement in Bias Stability of IGZO TFT With Etching Stop Structure by UV Irradiation Treatment of Active Layer Island

In this paper, the effect of ultraviolet (UV) irradiation treatment of active layer IGZO on the bias stability of amorphous IGZO thin film transistor with etch stop (ES) structure is studied. Along with the increase in UV irradiation time, the surface of the IGZO film becomes smoother. An appropriate UV irradiation treatment cannot only improve the bias stress stability but also suppress the lump behavior generated by light illumination. The devices with irradiation time of 1 min exhibits an excellent properties with the field effect mobility of 15.07 cm2/V·s, subthreshold swing of 0.2 V/dec, and all bias stress less than 0.2 V including NIBS and PIBS. However, a relative long UV treatment would result in deteriorating the bias stability of devices. The fact implies that the reasonable UV irradiation treatment on the active layer island before depositing the ES layer is advantageous for improving the stability of the a-IGZO TFT device.
Preliminary Assessment of Damage Caused by the Wolf in Lithuania

According to the data of a questionnaire research carried out in 1999–2001, a preliminary assessment of damage caused by wolves in Lithuania is given. The most serious damage was recorded in Biržai, Kelmė, Joniskis, and Siauliai districts. Depredation cases were most common in summer and autumn. Cattle, sheep, and dogs were attacked not only in pastures, but also in farmsteads and even villages, even if dogs were kept in yards. One fourth of the attacks was recorded further than 1 km from forests. As a rule, animals were not guarded in the day time and were left in pastures for the night. Usually they were uninsured, so losses were not compensated. According to livestock owners who had suffered losses, the damage should be compensated by the Ministry of Environment or the Ministry of Agriculture and hunters. According to a preliminary assessment, at present wolves annually kill about 400–1,200 animals in Lithuania; this is fewer than in the 1920s or mid-1950s, but more than in neighbouring Latvia. Owners .
A Reconfigurable and Extendable Single-Inductor Single-Path Three-Switch Converter for Indoor Photovoltaic Energy Harvesting

This article proposes a single-path three-switch (1P3S) single-inductor dual-input dual-output (SIDIDO) converter to manage power among a photovoltaic (PV) module, battery, and load for indoor PV energy harvesting. For low duty-cycle applications, the 1P3S converter increases efficiency in the PV-to-battery-to-load path by eliminating inductor-sharing power switches. This article also proposes a reconfigurable controller to achieve reconfigurability and extendibility that the 1P3S converter can be reconfigured as a dual-path three-switch (2P3S) SIDIDO converter, combined as a dual-path six-switch (2P6S) SIDIDO converter, or extended as a paralleled-1P3S converter for high energy efficiency in various applications with different PV and load power profiles. To identify each converter’s advantageous applications, the efficiencies of the 1P3S, reconfigured 2P3S, and combined 2P6S converters were analyzed under dynamic PV and load powers. The chip is fabricated in the 0.5- $\mu \text{m}$ CMOS process with a 1.24-mm2 chip area. The measured peak efficiencies for the 1P3S, 2P3S, and 2P6S converters are 95.0%, 95.2%, and 90.0%, respectively, while the measured quiescent currents are 210, 130, and 140 nA, respectively. Compared with the state-of-the-art 2P3S and 2P6S converters, the reconfigured 2P3S and combined 2P6S converters with the proposed IC, respectively, achieve higher efficiency through appropriate switch sizes and ON-time optimizations.
Personality Measurement Design for Ontology Based Platform using Social Media Text

A R T I C L E I N F O A B S T R A C T Article history: Received: 03 March, 2020 Accepted: 22 April, 2020 Online: 03 May, 2020 Human behavior quantification is an essential part of psychological science. One of the cases is measuring human personality. Social media provide rich text, which can be beneficial as a data source to get valuable insight. Previous researches show that social media offered favorable circumstances for psychological researchers by tracking, analyzing, and predicting human character. In this research, we propose a personality measurement design to help to assess human character through linguistic usage from human digital traces. We construct our model by classifying social media text to the pre-determined personality facet from Big Five personality traits, mapping the knowledge to the ontology model, and implementing the model as a platform dictionary. Our model is based on the Indonesian language, which to the best of our knowledge is the first in the subject area. The platform is running effectively by using a well-established sorting algorithm, called the radix tree. Our objective is to support psychological science in adapting to a new technological era.
Desempenho de cordeiros terminados em confinamento, consumindo silagens de milho de grãos com alta umidade ou grãos de milho hidratados em substituição aos grãos de milho seco da dieta

This experiment was conducted to evaluate the replacement of different corn grains (dry corn grain, reconstituted grain corn silage and high-moisture grain corn silage) on th epreformance of feedlot lambs. Sixty lambs (males and females) were randomly assigned to five treatments with twelve replicates and fed iIsoprotein and isoenergetic diets, in different treatments: T1= (RCGS) reconstituted grain corn silage; T2 = (DCG) dry corn grain; T3 = 50% RCGS + 50% DCG; T4 = (HMGCS) high-moisture grain corn silage; T5 = 50% HMGCS + 50% DCG. Oat hay was the used forage. Average daily gain and feed: gain ratio at 28, 56 and 73 days of feedlot were evaluated. The diet with the total replacement of the dry corn grain by the high-moisture grain corn silage showed higher average daily gain at the 73 days than at that one at 28 and 56 days of feedlot confinement. This can be explained by the best digestibility presented by the silages, attributed to the gelatinization suffered by starch during the process. In that case, the high-moisture grain corn silage can be efficiently used in diets for lambs.
Understanding human responses to errors in a collaborative human-robot selective harvesting task

—A human-robot approach for the farm of the future motivates robotics researchers to consider ways in which automated devices and intelligent systems can work alongside farmers to address a wide range of highly specialised but often repetitive tasks. The work presented here investigates a collaborative task in which a human and robot share decision making about the readiness of strawberries for harvesting. Preliminary experimental results with two different robot behaviours and two different user groups are compared.
Dimensions and composition of eggs from captive bustards (Gruiformes: Otididae): houbara (Chlamydotis undulata), rufous-crested (Eupodotis ruficrista), and kori (Ardeotis kori)

This study sought to increase understanding of the size and composition of eggs from two subspecies of houbara bustard (Chlamydotis undulata macqueenii and C. u. undulata). Eggs from the rufous-crested bustard (Eupodotis ruficrista) and kori bustard (Ardeotis kori) were also examined for comparison. Infertile eggs were collected from captive birds; egg mass and linear dimensions were recorded, and egg component masses were determined wet and dry. Significant differences were observed in the composition of the eggs from the two houbara subspecies. Despite being smaller in size, eggs from the macqueenii subspecies had a relatively larger yolk (and relatively less albumen) than eggs from the undulata subspecies. The relative composition of the rufous-crested and kori bustard eggs showed patterns similar to that of the undulata eggs. For the houbara bustards, changes in initial egg mass (IEM) were associated with changes in egg length more than egg breadth, and changes in egg length and breadth appeared to be due more to increases in albumen mass than to increases in yolk mass.
Biochemical Characterization of Soybean Protein Consisting of Different Subunits of Glycinin

Soybean isogenic lines having different glycinin subunit compositions are now being bred. To compare the characteristics of the genetically improved soybean proteins, total protein and purified glycinin proteins were investigated in this study. The absence of subunit(s) resulted in marked changes in the proportion of glycinin to β-conglycinin. When the pH of the total protein and glycinin solution was changed and NaCl was added to the solution, glycinin consisting of only group I subunits and β-conglycinin are highly soluble compared to the A5A4B3 or A3B4 subunit at a NaCl concentration lower than 0.05 M at pH 5.5. Ultracentrifuge analysis showed that the glycinin containing all subunits was able to assemble to form the 11S structure. That consisting of group I subunits formed a uniform 7S structure. Decreasing glycinin/β-conglycinin ratios and structural changes caused by a lack of glycinin subunit(s) are thus expected to influence the food-processing properties of soybeans. Keywords: Soybean; glycinin; .
Weight Management: Inflammation

Nowadays, obesity is considered as one of the fastest escalating nutritional disorders that reached pandemic throughout the world. Obesity is a condition in which overaccumulation of energy in the form of fat happens in an individual’s subcutaneous and/or abdominal visceral tissue. It is described as an abnormal growth of adipose tissue due to the enlargement of fat cell size (hypertrophic obesity) or fat cell number (hyperplastic obesity) or a condition of both. Earlier, it was reported that the most common type of obesity that affects the general popula-tion is the polygenic form that results from a result of a positive energy balance between energy consumption and its expenditure – or a combination of both. The pandemic of obesity has enforced to analyze the link between the role of inflammation and complications of overweight and obesity. This led to crossroads of the field of nutrition, diet therapy, physiology, immunology, and epidemiology and makes the understanding that they are linked inexplicably. The remodeling of obesity as an inflammatory state has led a wide impression in our conceptualization of obesity-related diseases. In this chapter, we highlight the endocrine aspect of adipose tissue, the effect of dysregulated secretion of adipokines due to inflammation and dietary components that affect obesity related to inflammation.
External Sorting Algorithm: State-of-the-Art and Future Directions

The advent of the era of big data provides new opportunities and more challenges to sorting algorithms. The traditional internal sorting algorithm cannot adapt to the explosive growth of data, and the memory cannot accommodate all the data for sorting, so the external sorting algorithm arises at the historic moment. Because of the different application scenarios, storage devices and improvement strategies, there are many kinds of external sorting algorithms. Traditional main memory architecture based on DRAM faces the problems of capacity, energy consumption and reliability. Emerging nonvolatile memory technologies are non-volatile, high-density, byte-addressable, low-power, so they can replace persistent storage, main memory or storage class memory. Though NVM devices provide new choices to the revolution of traditional memory and storage system, traditional external sorting algorithms cannot achieve its performance. This paper first sorts out the development of external sorting algorithm, and summarizes it into four kinds of external sorting algorithm based on HDD, embedded device, SSD and NVM. In addition, the classical external sorting algorithms based on different storage devices are listed, and our opinions are put forward. Finally, this paper proposes three problems that need to be solved urgently in the future development of external
Automatic subgenre classification in an electronic dance music taxonomy

Electronic dance music (EDM) is a genre where thousands of new songs are released every week. The list of EDM subgenres considered is long, but it also evolves according to trends and musical tastes. With this in view, we have retrieved two sets of over 2000 songs separated by more than a year. Songs belong to the top 100 list of an EDM website taxonomy of more than 20 subgenres that changed in the period considered. We test the effectiveness of automatic classification on these sets and delve into the results to determine, for example, which subgenres perform better and worse, how the performance of some subgenres change in the two sets, or how some subgenres are often confused with one another. We illustrate confusion among subgenres by a graph and interpret it as a taxonomic map of EDM. We also assess the deterioration of the performance of the classifier of the first set when used to classify the second one. Finally, we study how the new subgenres that appear in the second set relate to the old ones with the help of the classifier of the first set. As a result, this work illustrates the main challenges that EDM poses to automatic classification and provides insights into where are the limits of this approach.