Miracle-dz/UniFAR-FTUs huggingface dataset:
Electron Density Dependence of Extreme Ultraviolet Line Intensity Ratios in Ar XIV

We report the electron density dependence of extreme ultraviolet line intensity ratios in Ar xiv studied using a well-defined electron beam ion trap plasma. The purpose of this study is to examine the potential of the Ar xiv lines in diagnosing the electron density of solar corona active regions with a temperature higher than 3 MK. The experimentally obtained dependence is in good agreement with collisional-radiative model calculations, which ensures the usability of the Ar xiv lines.
The use of a neural network for determining the temperature of a vapor film destruction in uncooled and saturated water-ethanol mixture in a cylindrical geometry

The article presents the construction of an artificial neural network to determine the temperature of destruction of a vapor film in subcooled and saturated liquids of water-ethanol mixtures. To train the neural network, the results obtained on cylindrical samples of stainless steel, copper and nickel are used. In total, about 260 experimental points were used, which is sufficient to build a specific computational model. This article discusses a model of a neural network of the multilayer perceptron type. The trained neural network model shows a greater generalizing ability than the theoretical model for determining the temperature of vapor film destruction.
Growth features of apple varieties and forms with natural and compact crown types

This research explores the compactness of apple varieties and forms with different types of crown. Orchards on semi-vigorous rootstocks with density and high density planting systems are cost-effective in modern horticulture. For making such gardens, it is necessary to have trees with special compact crown shape. They ensure the high-quality fruits production, meeting the requirements of world standards. To date the most perspective apple varieties and forms for domestic intensive gardening from the rich gene pool of the Selection and Genetic Center of Federal State Scientific Institution «I. V. Michurin Federal Scientific Center» are identified. Varieties of folk domestic and foreign breeding took part in the creation of new genotypes. Apple varieties and promising forms (more than 160 genotypes), including from near and far abroad selection, were used as materials for crown features studying. We conducted our study by the following indicators: tree height, crown volume, “degree of compactness” and the shoot-forming ability. We found that the genotypes Sholokhovskoye, Zvezda Artemyeva, 25-7(11), 40-9(8), 36-8(21), 40-9(6), 8-7(72), 40-9(7), 36-8(17), 62-5(140) have optimal crown parameters. We recommend their use for industrial horticulture and further breeding to create restrained growth, low-volume crown, and a high degree of compactness varieties.
Study of the heat flux fluctuations intensity during flow around a circular cylinder

An experimental study performed in an air channel using gradient heatmetry is presented, for a configuration of three heated circular cylinders with different distance between them. Cylinders were installed one by one. The main objective is to analyze the heat flux fluctuations, employing gradient heat flux sensor. The behavior of the flow in the wake behind the first cylinder under various regimes, for the specified configuration, changes the fluctuations level at the surface of the second and third cylinders. By visualizing the flow using PIV, it was possible to see areas of stagnation, separation points and other features of flow around the model. The results showed that the fluctuations level for the second cylinder is an order of magnitude lower than for the first. We can say that the first cylinder stabilizes the flow. However, at the third cylinder, this level is comparable and even higher than on the first. Use of gradient heatmetry thus made it possible for the first time to estimate the fluctuating nature of the flow and heat transfer around cylinders.
Chemical composition of a seed kernel of a pumpkin produced in the Central Chernozem region of Russia

Seeds are the by-product in the cultivation of pumpkin. They are characterized by a high level of mineral substances and essential oils. However, the level of accumulation of biologically active components of seed kernel varies greatly among pumpkin varieties depending on climatic cultivation zones. Pumpkin varieties – Vitaminnayanaya, Michurinskaya sladkaya, Kubyshka, Muskatnayanaya, Aport – are taken as the objects of study. The chemical analysis of pumpkin seed kernels was carried out in accordance with generally accepted methodological recommendations. It was found that the sodium content in pumpkin seed kernel in the varietal section varies within the range of 5.07-17.6 mg/100 g, potassium – 554.8-767.1 ml/100g, calcium – 156.6-989.0 ml/100g, magnesium – 125.5-323.8 ml/100g, iron – 2.31-6.92 ml/100g, copper – 0.384-0.697 ml/100g, zinc – 4.80-7.43 ml/100g. The kernels of pumpkin seeds of the Michurinskaya sladkaya variety are characterized by high level of calcium – 989 ml/100g. Pumpkin seed kernels zoned in Tambov Region are rich in essential linoleic acid (52.59-63.87%), polyunsaturated oleic acid (11.70-27.35%), tocopherol (90-140 ml/100g). According to the content of linoleic acids, the highest indicators were found in seeds of Aport varieties – 63.87%, oleic acids – Muskatnayanaya (27.35%). The high content of tocopherol is typical for seeds of the Michurinskaya sladkaya variety – 140 ml/100 g. The obtained data on the chemical composition of pumpkin seed kernels indicate their promising use in the creation of functional food products and biologically active additives.
Traffic Data Modeling for Outlier Detection Schemes in Intrusion Detection Systems

﻿Denial of Service (DoS) and Probing attacks are common detectable intrusions that are frightened by most network users since the final result of these attacks is collapsing the network. By using a sufficient traffic data model generated from the network connection records, an outlier detection scheme finds the special features (signatures) of the attack from the data training sets and computes the distance between the signatures and the feature of incoming network connections. Using the distance values and certain threshold value, we can classify whether a connection is normal or an intrusion. This paper propose a model of data traffic which can be effectively used by outlier detection schemes to detect anomalies over the obtained network traffic signatures. Experiment using dataset from DARPA (Defense Advanced Research Projects Agency) Dataset 1998 shows that the model can depict the patterns of DoS and Probing attacks. This paper is published in The 5 th International Conference on Information & Communication Technology and Systems (ICTS) 2009, 4 August 2009, Surabaya – Indonesia; Pages: 333 - 338; ISSN: 2085-1944.
Deep Reinforcement Learning for Channel Selection and Power Allocation in D2D Communications

Device-to-device (D2D) communication is regarded as a key technical component of the fifth-generation (5G), D2D communication usually reuses spectrum resources with cellular users (CUs). To mitigate interference to cellular links and improve spectrum efficiency, this paper investigates a sum-rate maximization problem in the underlay of D2D communication. Particularly, a joint channel selection and power allocation framework based on multi-agent deep reinforcement learning is proposed, named Double Deep Q-Network (DDQN). It can adeptly select the channel and allocate power in a dynamic environment. The proposed scheme only requires local information and some outdated nonlocal information, which reduces signaling overheads significantly. Simulation results show that the proposed scheme can improve the D2D sum rate and ensure quality-of-service (QoS) of CUs compared with other benchmarks.
Microstructural evolution along the build height of laser melting deposited TA15 alloy

This study emphasizes the TA15 alloy microstructural distribution fabricated by the laser melting deposition (LMD) technique. The motivation of the study is to analyze the microstructural features, such as grain or laths thickness, phase fraction, and porosity occurrence in the different regions along the build height, due to the complex thermal-solidification history during the laser melting deposition. During laser deposition of titanium alloy, the laser beam forms a melt pool, where the near-α and α+β alloys transform into a single β-phase, followed by rapid solidification. This process is repeated when a successive layer is deposited, where the previously deposited layers are re-melted. These thermal cycles can affect the parent microstructure in the previously deposited layers. It was identified from the results that the width of α-laths was larger in the regions near the top of the build component. In comparison, the bottom region near to substrate contained fine laths due to a steep thermal gradient and repeated thermal effect. The volume fraction of β-phase was higher in the bottom region, which could be regarded as the transformed β matrix due to the successive thermal effect in the α+β field. The results also showed shallow porosity existence in the top and near to top regions. According to the morphology and size, the formation of these pores can be attributed to the gas entrapment during the deposition process.
Historical Events Regarding Osmosis

Osmosis is a fundamental concept of great importance to understanding natural biological, physical, and chemical processes. We provide an instructional guide to assist instructors of advanced high school biology and college biology students in defining questions that are central to deriving a highly developed understanding of osmosis. We present teaching activities that focus on advancing multiple hypotheses about the cause of osmosis, presenting a tentative explanation and model of osmosis, and drawing scientifically accepted conclusions about osmotic processes.
Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions

Auditory models have been adopted for years to simulate characteristics of the human auditory processing for normal and hearing-impaired listeners. However, individual differences due to varying degrees of frequency-dependent hearing damage hinders the simulation of auditory processing on an individualized basis. Here, with a view on precise auditory profiling, recorded distortion product otoacoustic emission (DPOAE) metrics are used to determine individual parameters of cochlear non-linearity to yield individualized human cochlear models, which can be used as pre-processors for hearing-aid and machine-hearing applications. We test whether individualized cochlear models based on DPOAE measurements can simulate the measured DPOAEs and audiograms of normal-hearing and hearing-impaired listeners. Results showed that cochlear models individualized based on DPOAE-grams measured at low stimulus levels or DPOAE thresholds, yield the smallest simulation errors.
Recent developments in methicillin- resistant Staphylococcus aureus (MRSA) management and potential antimicrobial alternatives to combat the antibiotic resistance challenge: A review

The global emergence of Methicillin-resistant Staphylococcus aureus (MRSA) strains is causing a serious increase in mortality and morbidity rates both in hospitals and in community settings. The high incidence of MRSA associated bacteremia can potentially cause infective endocarditis, septic arthritis, osteomyelitis and complications such as septic shock which are becoming a high challenge for clinicians to treat. The multi-resistance acquisition of MRSA against currently available antibiotics has significantly reduced their efficacy against related infections. To overcome this global health concern of the rapidly spreading antibioticresistance phenomenon among bacterial pathogens, particularly MRSA, implementation of effective management strategies and the need for rapid identification and practical application of potential antimicrobial alternatives has become crucial. Herein, we have provided a brief description of potential antimicrobial alternatives i.e., phytochemicals from plant extracts, bacteriocins, antimicrobial peptides, bacteriophage therapy, nanoparticles and some other approaches that can be used as monotherapy or in combination with currently effective antibiotics to combat MRSA infections. An overview of MRSA infections and developments in MRSA management has also been presented in the initial section of this review.
New agent-based proactive migration method and system for Big Data Environment (BDE)

Purpose – Mobile Service of Big Data can be supported by the fused technologies of computing, communication and digital multimedia. The purpose of this paper is to propose new agent-based proactive migration method and system for Big Data Environment (BDE). Design/methodology/approach – First, the authors have designed new relative fusion method for making decision based on fuzzy-neural network. The method can make the fusion belief degree to be improved. Then the authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. Finally, the authors have designed the application system, which can support proactive seamless migration function for big data. The method has innovation in which mobile service task of big data can dynamically follow its mobile user from one device to another device. Findings – The authors have proposed agent-based proactive migrating method with service discovery and key frames selection strategy. The method has innovation in.
Public Housing Relocation Of Older Adults In Atlanta: Challenging The Aging In Place Concept.

In 2007 AHA demolished two senior high-rise buildings causing the forcible removal of older African American residents who may have wanted to age in place due to community attachment. Aging in place and community attachment are concepts that describe the strong social-psychological attraction to a specific location among older long-term residents (McAuley 1998). This thesis examines if community attachment differ for residents who were forced to relocate and those who were able to age in place. Using longitudinal data from the GSU Urban Health Initiative, I looked at relocated and non-relocating senior public housing residents’ community attachment as it relates to tenure and distance to needed services pre and post-move to explore if community attachment was influenced. Findings reveal that community attachment and aging in place are more complex than originally realized. Tenure and distances to needed services is only one aspect of unique aging for senior minority residents. INDEX WORDS: Aging in place, Older adults, Community attachment, Public-housing, Selective optimization with compensation, Section 202 housing PUBLIC HOUSING RELOCATION OF OLDER ADULTS IN ATLANTA: CHALLENGING THE AGING IN PLACE CONCEPT
Frequency of retinopathy of prematurity (ROP) in infants screened for ROP: two years follow-up results of a single center in Turkey

Aim The aim of this retrospective study was to determine the incidence of retinopathy of prematurity (ROP) in infants referred to our clinic for screening ROP. Material and method The data of 729 infants who were referred to the ROP outpatient clinic of the Ophthalmology Unit of Erzincan Binali Yildirim University, Turkey between April 2018 and March 2020 were analyzed retrospectively. The gestational age and weight of the infants, stay in the neonatal intensive care unit, duration of oxygen therapy, and detailed ophthalmologic examination findings were recorded in the study. Findings and results Of the 729 babies screened for ROP, 122 (16.7%) of them had ROP. Infants with gestational age of ≤28 weeks constitute 3.3% of all infants and ROP rate was significantly higher than infants with older gestational age (P < 0.001). There were 39 babies born under 1000 grams and ROP was present in 28 (71.8%) of these infants and the incidence of ROP was higher than infants with higher birth weight (P < 0.001). With the result of logistic regression analysis, gestational age (OR:0.592,95% CI:0.208–0.779,P < 0.001), stay in NICU (OR:0.998,95% CI:1.022–1.421,P = 0.001), and duration of oxygen (O2) therapy (OR:34.309, 95% CI:2.043–28.235,P = 0.004) were detected the independent risk factors for ROP. Conclusion Although infants with ≤1000 grams gestational weight and ≤28 weeks gestational age are more likely to have ROP, it is clear that screening for all infants at risk, regardless of gestational weight and age, is very important in preventing ROP-related vision loss. In addition, it is also recommended to control the duration of staying in neonatal intensive care unit and oxygen therapy to as little as needed.
Análise quantitativa na área de estudos ambiente-comportamento

This paper introduces the research procedures frequently used in the environment and behavior research available and applicable to the several topics related to aspects of the built environment, including building and urban related studies. This research area is presented, and their mains characteristics and methodological implications are discussed. Despite the emphasis on the complementary use of qualitative and quantitative methods, the paper focuses on methods used to quantitatively describe and analyze data collected in environment and behavior research. Besides the non-parametric statistical tests applied to quantitative data collected through questionnaires, some alternative and complementary quantitative data analysis procedures are discussed. These procedures are based on numerical information included in spatial graphic representations, such as lines, dots and shape, as analytical procedures involving Geographic Information Systems. This paper also introduces space syntax analysis, which allows the identification, for example, of different levels of accessibility and potential of movement of axial lines, according to spatial configuration of urban areas or individual buildings.
The Role Of Servant Leadership In Promoting Intellectual Capital: An Analytical Study Of A Sample Of The Views Of Some Employees At Kufa University

Received: August 19, 2020 The literature suggests that leadership positively affects the overall performance of organizations, as the search results show that the Servant leadership virtuous characteristics of its indicators have been to a degree ,The administrative Servant leadership in educational institutions is high, because the administrative leader contributes to To obtain the necessary qualifications for his work with him. It encourages others to take the lead Initiative. Studies also pointed to intellectual capital, which leads to easy access to customers and investors, thereby enhancing the overall performance of organizations. Tests for this study will determine whether the Servant leadership is performing To promote intellectual capital, In this study, the relationship between the Servant leadership of the Khidmah, which was formed by six indicators, was examined: Conceptual skills, empowerment, concern for subordinates for development and success, acting ethic, emotional treatment and commitment to community development and its relationship to intellectual capital. A random sample of the staff of Kufa University was taken and made up of (127)staff members. Hypotheses were tested using the Statistical Program (SPSS V20), which found that Servant leadership practices are positively reflected in the organization's retention of intellectual capital. A positive impact on the Servant leadership of intellectual capital has been achieved, and the research organization must consider the practice of leading methods leading to the retention of intellectual capital. Accepted: October 15, 2020
The experimental comparison of state of charge estimation methods in electrical vehicle batteries

One of the most difficult problems in battery pack management aboard an electrical vehicle is the estimation of the state of charge (SOC). However, the state of charge gives information about how much longer the battery can be used and when the charging process will be cut off. This paper presents the experimental comparison study of different state of charge estimation methods (discharge voltage method, coulomb counting method and artificial neural networks method) in electric vehicles batteries. For state of charge (SOC) estimation we require voltage, current and temperature, all these data are nonlinear function of SOC and are depends on charge and discharge operation. Also, experimental results are carried out in order to validate this
EFFECTS OF IMPLICIT VERSUS EXPLICIT VOCABULARY INSTRUCTION ON EFL LEARNERS’ VOCABULARY KNOWLEDGE GAIN

Drawing upon a number of previous studies in the literature on the role of implicit and explicit vocabulary instruction on EFL learners’ vocabulary learning and retention, the present study investigated explicit versus implicit vocabulary instruction through reading on a group of sophomore students’ vocabulary knowledge in order to examine which type of instruction lead to better learning of vocabulary. To do so, the participants were given the chance to complete three types of reading activities. First, they were given two reading passages, containing 15 target words, to read and check comprehension questions and then answer some questions on the target vocabulary. In the second phase of the treatment, the students completed the same task, but the meanings of the target words were given in the margins of the reading texts. In the third phase of the treatment, the participants completed the same task, but they were allowed to check the meanings of words using dictionaries. Paired comparisons of the participants’ performances on these tasks revealed that there was no significant difference between the participants’ performance on task one and task two. The difference of performance between task one and task three was statistically significant, the fact which point to the effectiveness of exposure to vocabulary definitions through looking up words in the dictionary. So was the performance on task two and task three. Further comparisons revealed that the subjects’ scores on task three was significantly higher than the scores on task two, suggesting that when the learners looked up the meaning of unknown words in the dictionary, the task led to better learning of vocabulary in comparison with task two.
MODIFIED MULTILEVEL SEGMENTATION AND TRILATERAL IMAGE FILTER-BASED LANE DETECTION TECHNIQUE

: Lane detection techniques are becoming popular day by day due to its wide range of applications in intelligent transportation systems. Recently, many researchers have developed different techniques to detect the lanes in road side images. However, these techniques suffer from various issues such as poor visibility of roads, various types of roads, traffic etc. Therefore, in this paper to improve the performance of multilevel segmentation and Hough transform based lane detection technique using well-known trilateral image filter. It has an ability to improve the accuracy of lane detection algorithms further. Additionally, Hough transform has been modified to enhance the results further. Extensive analysis reveal that the proposed technique outperforms others in terms of Bit error rate, Accuracy, F-measure etc.