Miracle-dz/UniFAR-FTUs huggingface dataset:
Complete spectra of periodicities in the problems of differentiation of closely related bacterial genomes

Tandem repeats (periodicities) constitute a significant part of the genomes of various organisms. They are often used as molecular markers in problems of differentiation of related objects. As such, bacteria of pseudotuberculosis and plague are considered. Genetically, the pathogen causing plague, Yersinia pestis, is very similar to Yersinia pseudotuberculosis. A comparison is made of the full spectra of periodicities in the genomes of bacteria of both species. Their general and species-specific features have been identified, confirming the high classification potential of the used object description.
Simulation of the Effect of Convecting Patches of Enhanced Electron Density on HF Over-the-Horizon Radars (OTHRs) in the Polar Regions

High-frequency over-the-horizon radars (OTHR) provide an economical means to detect and track noncooperative air targets over large expanses of land and sea. Due to the dynamic nature of the ionosphere, an OTHR requires a frequency management system where the operating frequencies and launch angles (azimuth and elevation) change periodically to maintain constant target detection. Accurate electron density models are required for the purpose of improving OTHR performance and for system planning and design. This is particularly true in the polar regions where large-scale electron density structures taking the form of patches and arcs of enhanced electron density are the common features of the F-region ionosphere. These structures form tilted reflection surfaces for HF radiowaves and result in propagation well displaced from the great circle direction. The effects of patches on the ray paths have been simulated, and their impact on OTHR frequency management is illustrated.
Covid-19-Triggered Online Learning Implementation: Pre-Service English Teachers’ Beliefs

The study investigated nine pre-service English teachers’ beliefs on the implementation of online learning due to the Covid-19 pandemic in their English Language Education Department. The study used secondary data in the forms of the participants’ written reflections on the implementation of online learning they experienced through their viewpoints both as students and as English teacher candidates. Qualitative document analysis in the form of Thematic Analysis was used to further analyse the data. The study found three factors hampering effective online learning, which were inadequate supporting infrastructures or resources, teachers’ limited pedagogical skills in effectively managing online learning, and the lack of teacher-student and student-student social connections during the learning process. The study also found two perceived good practices, the combination of synchronous and asynchronous modes, which could ease learners’ burden and boost learning effectiveness, and teachers' understanding of learners' struggle manifested in their facilitating actions. Based on the findings, the study's possible contributions and limitations are stated along with suggested directions for future studies in the field.
Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO2 Emissions

Investigation shows that train travel has a lower pollution impact on the environment than flight travel or car travel. A stated preferences (SP) survey can effectively obtain the data of the commuter’s response to the hypothetical train price changes beyond the scope of previous observations. To this end, based on SP survey, we estimate the price elasticity of train travel demand and analyze its variation rules. It is shown that: (1) the own-price elasticities of demand are −1.049028 during peak period and −1.090438 during off-peak period, respectively; (2) the cross-price elasticities of demand are 0.001280 for train and air and 0.001156 for train and car during peak period; and 0.001350 for train and air and 0.001230 for train and car during off-peak period; (3) the own and cross-price elasticities of demand during off-peak period are bigger than the ones during peak period; (4) when the influence factors’ influence degree is 3 or 5, the own and cross-price elasticities of demand are largest; when the influence degree is 1, the own and cross-price elasticities of demand are smallest. A result application example shows that the elasticities obtained from this paper could be used to reduce energy used and CO2 emissions effectively.
Real-Time Energy-Efficient Actuation of Induction Motor Drives Using Approximate Dynamic Programming

This article proposes a real-time control strategy for induction motor drives, harmonizing accurate torque, and flux tracking with energy efficiency. Common problems related to lengthy control horizons and the associated computational burden are dealt with by introducing a value function approximation in the model-predictive structure to quantify the impact of instantaneous decisions on future states. An augmented model of the drive is introduced to determine this value function approximation offline. The resulting optimization problem is implemented in a real-time environment and its effectiveness is established on an experimental setup for both steady state and dynamic load conditions. Experiments show that the proposed approach outperforms default model-based methods by up to 89.7%, thus making it a promising real-time optimal control strategy in the domain of electric drives.
Highly Active Anti-Retroviral Therapy, Pre- Exposure Prophylaxis, and assisted reproductive techniques for the conception of a seronegative baby in HIV sero-discordant couples: A retrospective analysis

Indian Journal of Sexually Transmitted Diseases and AIDS Volume 42, Issue 1, January-June 2021 87 4. French P, Gupta S, Kumar B. Infectious syphilis. In: Gupta S, Kumar B, editors. Sexually Transmitted Infections. 2nd ed. India: Elsevier India; 2012. p. 435. 5. Santiago SA, O'valle F, ElAhmed HH, Fernandez JA, Prieto MS. Simultaneous primary and secondary syphilis. J Am Acad Dermatol 2011;64:AB97. Access this article online Quick Response Code: Website: www.ijstd. org
Nutritional impacts of using graded levels of dietary linoleic acid on egg production, egg quality, and yolk fatty acid profile of laying ducks

Abstract There is an increased interest among poultry nutritionists to increase the linoleic acid (LA) content of the egg, which possesses many benefits for human health. This fatty acid must be provided by the diet as the bird’s body cannot synthesise it. The present study evaluated the influence of different levels of dietary LA on the productive performance, egg quality and yolk lipid profile of Longyan laying ducks. In total, 900 Longyan female laying ducks aged 24 weeks were assigned to six dietary treatments, each containing 6 replicates of 25 ducks. The six dietary treatments contained six incremental levels of LA (analysed content: 0.36, 0.66, 0.80, 1.07, 1.28, and 1.45%) and the experimental diets were offered for the following 20 weeks. The results showed that different supplemental levels of dietary LA had no effects on egg production traits, concentrations of plasma cholesterol and triglycerides, or low or high-density lipoprotein cholesterol (p > .05). There was a linear increase in yolk colour (p < .001) and yolk cholesterol (p < .005) with increasing dietary LA. With increased intake of LA, the yolk content in C18:1, C20:1 and total monounsaturated fatty acids decreased linearly (all p < .005), but the concentrations of C18:2, C18:3, C20:2, C20:3, C20:4, C20:6, and total polyunsaturated fatty acids were linearly increased (p <.008 to <.0001). The results of the present work show that LA dietary supplementation of Longyan duck layers positively modified the yolk fatty acid profile, increased the yolk cholesterol, and enhanced the yolk colour. HIGHLIGHTS Linoleic acid (LA) is an essential fatty acid that must be added to the poultry diet. This study evaluated six dietary levels of linoleic acid in laying ducks. LA dietary supplementation modified yolk colour, cholesterol and fatty acid profile.
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods

Video accounts for a large proportion of traffic on the Internet. Understanding its geographical viewing patterns is extremely valuable for the design of Internet ecosystems for content delivery, recommendation and ads. While previous works have addressed this problem at coarse-grain scales (e.g., national), the urban-scale geographical patterns of video access have never been revealed. To this end, this article aims to investigate the problem that whether there exists distinct viewing patterns among the neighborhoods of a large-scale city. To achieve this, we need to address several challenges including unknown of patterns profiles, complicate urban neighborhoods, and comprehensive viewing features. The contributions of this article include two aspects. First, we design a framework to automatically identify geographical video viewing patterns in urban neighborhoods. Second, by using a dataset of two months real video requests in Shanghai collected from one major ISP of China, we make a rigorous analysis of video viewing patterns in Shanghai. Our study reveals the following important observations. First, there exists four prevalent and distinct patterns of video access behavior in urban neighborhoods, which are corresponding to four different geographical contexts: downtown residential, office, suburb residential and hybrid regions. Second, there exists significant features that distinguish different patterns, e.g., the probabilities of viewing TV plays at midnight, and viewing cartoons at weekends can distinguish the two viewing patterns corresponding to downtown and suburb regions.
Synergistic Effects of Multiple Disinfectants

OBJECTIVES: This study was undertaken to examine the efficacy of combinations of disinfectants against difficult to kill waterborne organisms under a variety of conditions to determine if the phenomenon had potential for a broader application in drinking water treatment. The goal of the research was to screen combinations of disinfectants used in drinking water treatment that could be used to control encysted Cryptosporidium, Giardia, and Bacillus cereus spores, a potential disinfection indicator.
Modest alcohol consumption and risk of advanced liver fibrosis in nonalcoholic fatty liver disease: a systematic review and meta-analysis

Background Recent studies have suggested an association between modest alcohol consumption and a decreased risk of advanced liver fibrosis among patients with nonalcoholic fatty liver disease (NAFLD) although the results are inconsistent. The current systematic review and meta-analysis was conducted to comprehensively investigate this possible association by identifying all the relevant studies and combining their results. Methods A comprehensive literature review was conducted utilizing the MEDLINE and EMBASE databases through February 2019 to identify all cross-sectional studies that compared the prevalence of advanced liver fibrosis among NAFLD patients who were modest alcohol drinkers to NAFLD patients who were non-drinkers. Effect estimates from each study were extracted and combined together using the random-effect, generic inverse variance method of DerSimonian and Laird. Results A total of 6 studies with 8,936 participants fulfilled the eligibility criteria and were included in the meta-analysis. The risk of advanced liver fibrosis among patients with NAFLD who were modest alcohol drinkers was significantly lower compared to patients with NAFLD who were non-drinkers with a pooled odds ratio of 0.51 (95% confidence interval [CI] 0.35-0.75; I2 47%). The funnel plot was symmetric and was not suggestive of publication bias. Conclusion A significantly lower risk of advanced liver fibrosis was observed among NAFLD patients who were modest alcohol drinkers compared to non-drinkers in this meta-analysis.
THE HOLISTIC THERAPY FOR EFFECTIVE SERVICES FOR CHILDREN WITH ADHD IN KINDERGARTENS

Uncontrolled behavior in children with special needs with ADHD is still a phenomenon because they have not received proper services. Parents and teachers need to find the right way to serve children with ADHD to optimize their potential from an early age. This study aims to determine the pattern of teacher services provided to ADHD children in kindergartens. The service pattern provided to ADHD children can help teachers provide stimulation in accordance with the children’s needs.This study was conducted in six kindergartens located in Sleman Regency, Yogyakarta City, and Bantul Regency. The qualitative narrative method was employed in this study. The data of this study were collected through observation of ADHD children in six kindergartens and interviews with teachers. The research subjects were six children, and the data analysis technique used was the qualitative descriptive. The research results are divided into two parts. The first part is regarding the service pattern provided by teachers for children with ADHD with combined presentation (inattention and hyperactivity-impulsivity), predominantly inattentive presentation (inattention) and predominantly hyperactive-impulsive presentation. Meanwhile, the second part describes how the teachers treat children with ADHD while they are among their peers and the implication of holistic therapy given to ADHD children. The types of games given to ADHD children are mostly to practice logic, focus, and patience for example, games requiring gross motor and fine motor skills.
Vertical and horizontal variation of aerosol number size distribution in the boreal environment

Abstract. This study explores the vertical and horizontal variability of the particle number size distribution from two flight measurements campaigns over a boreal forest in Hyytiala, Finland during May–June 2013 and March–April 2014, respectively. Our other aims were to study the spatial extent of new particle formation events and to compare the airborne observation with the ground measurements from the SMEAR II (Station for Measuring Ecosystem-Atmosphere Relations) field station located in Hyytiala. The airborne measurements extended vertically 3.8 km and horizontally 30 km from the station. A Cessna 172 aircraft was used as a measurement platform. The measured parameters included the particle number concentration (> 3 nm) and particle number size distribution (10–400 nm). The airborne data used in this study were equal to 111 flight hours. The measurements showed that despite local fluctuations there was a good agreement between the on-ground and airborne measurements inside the planetary boundary layer. On median, the airborne total number concentration was found to be 10 % larger than at the ground level. The seasonal and meteorological differences between the campaigns were reflected in aerosol properties. NPF days showed areas of intensified NPF on a scale from kilometres up to couple of tens of kilometres in the planetary boundary layer. NPF was also observed frequently in the free troposphere.
Panel-to-Substring Differential Power Processing Converter With Embedded Electrical Diagnosis Capability for Photovoltaic Panels Under Partial Shading

Various kinds of differential power processing (DPP) converters have been developed to improve the energy yield of partially-shaded photovoltaic (PV) panels by precluding partial shading issues, such as the reduction in power generation and the occurrence of multiple maximum power points. Meanwhile, PV systems require fault diagnosis tools to detect premature deterioration and malfunctions that lead to a reduction in power generation of the system as a whole and, in the worst case, hazardous situations, such as a fire. This article proposes a novel DPP converter as well as an electrical diagnosis technique using the DPP converter. The proposed DPP converter not only addresses the partial shading issues but also provides the electrical diagnosis capability. In the diagnosis mode, the DPP converter injects ac currents to a panel, and an ac impedance of the panel can be calculated from the voltage response to the injected ac currents. The detailed operation analysis and experimental verification tests using a prototype were performed. The results demonstrated the improved power yield from partially shaded PV panels and the electrical diagnosis capability of the proposed DPP converter.
Robust Control of Arrivals Into a Queuing Network

Queuing networks have been widely-used to model congestion in transportation systems. Due to their interconnected nature, delays in a queuing network can propagate as customers traverse through the network; similarly, downstream resources can be underutilized due to poor control policies. This paper considers the regulation of arrivals into a queuing network in order to maintain a desired level of occupancy (queue length) in the system. The dynamics of the queuing network is represented by a fluid-flow model, which is then used to develop a robust controller for tracking the desired queue length. The controller is based on a sliding mode control approach, with predictor-based feedback to account for propagation delays. For a single queue, we determine sufficient conditions for tracking the queue length, and bounds on the tracking error. We also present an analysis of the tracking performance for queues in tandem. We demonstrate our approach for the example of airport surface congestion control. The proposed robust control framework is based on a queuing network model of the airport, and is used to tactically manage aircraft departures in order to reduce congestion on the airport tarmac.
The Docimologically Based Evaluation of Knowledge in Vocational Education of Healthcare Professionals / Dokimološki utemeljeno vrednovanje znanja u strukovnom obrazovanju zdravstvenih radnika

Diversity of teaching curriculum in vocational subjects requires the application of different didactic-methodical approaches to teaching, and thus different methods for students’ knowledge evaluation. Objective assessment of knowledge is the imperative of the quality vocational education of healthcare professionals; in the evaluation of students’ progress and final assessment of students’ knowledge, the formative and summative methods are commonly used during or after the course of a particular subject. Modern higher education insists on objectivity and scientific foundation of the evaluation process, which is the main reason why the didactic docimology has finally received a deserved place in the pedagogical practice in the last decades. The aim of this paper is to emphasize the importance of the unconditional appliance of scientific principles in students’ knowledge evaluation, critically analyze elements of the existing objective methods of assessment in vocational education of healthcare professionals, and to emphasize the social and professional significance of the student’s final grade, which should be an unambiguous indicator of acquired professional skills of a graduate student of healthcare sciences. Key words: final grade; formative knowledge assessment; healthcare science; skills; summative knowledge assessment. - Raznolikost nastavnoga plana i programa u strucnim predmetima zahtijeva primjenu razlicitih didakticko-metodickih pristupa poucavanju, a samim tim i razlicitih metoda ocjenjivanja znanja studenata. Objektivno ocjenjivanje znanja imperativ je kvalitetnoga strukovnog obrazovanja zdravstvenih radnika. U vrednovanju napretka studenata i konacnoj procjeni njihovoga znanja, uobicajeno se koriste i sumativne i formativne metode, tijekom ili nakon pojedinoga nastavnog tecaja. Moderno visoko obrazovanje uvjetuje na objektivnosti i znanstvenoj utemeljenosti procesa vrednovanja, sto je glavni razlog zasto je didakticka dokimologija u posljednjim desetljecima konacno dobila zasluženo mjesto u pedagoskoj praksi. Cilj je ovoga rada naglasiti važnost bezuvjetne primjene znanstvenih nacela u evaluaciji znanja studenata, kriticki analizirati elemente postojecih objektivnih metoda ocjenjivanja u strukovnom obrazovanju zdravstvenih radnika te naglasiti drustveni i profesionalni znacaj studentove zavrsne ocjene, koja bi trebala biti nedvosmislen pokazatelj stecenih profesionalnih vjestina diplomiranoga studenta zdravstvenih znanosti. Kljucne rijeci: formativna procjena znanja; sumativna procjena znanja; vjestine; zavrsna ocjena; zdravstvene znanosti. Normal 0 false false false EN-US X-NONE X-NONE
Exploring sMRI Biomarkers for Diagnosis of Autism Spectrum Disorders Based on Multi Class Activation Mapping Models

Due to the complexity of the etiology of autism spectrum disorders, the existing autism diagnosis method is still based on scales. With the continuous development of artificial intelligence, image-aided diagnosis of brain diseases has been widely studied and concerned. However, many doctors and researchers still doubt the diagnosis basis of the neural network and think that the neural network belongs to a limited interpretable black-box function approximator. They are not sure whether the neural network has learned some interpretive image features like humans. In order to solve this problem, three new models (2D CAM, 3D CAM and 3D Grad-CAM) are proposed for structural Magnetic Resonance Imaging (sMRI) data. The Regions Of Interest (ROI) of subcortical tissues among models and between groups are analyzed based on the heat maps of the three models. The experimental results show that these models mainly distinguish the autism group and the control group according to the voxel value of these ROIs. There are significant differences in mean voxel value and standard deviation of voxel value between the autism group and the control group, such as in the left amygdala, optic chiasm and right hippocampus. According to medical references, these ROIs are closely related to people’s speech, cognition and behavior. This can partly explain why autistic patients have unusual symptoms such as speech communication disorder, stereotyped repetitive behavior and so on. The proposed visualization models can provide a good bridge for doctors to understand the brain features learned by the neural network. The research method of this paper may provide a new way for doctors and researchers to find the diagnostic biomarkers of autism, which can greatly speed up the process of modern medical diagnosis and treatment strategies, and liberate doctors from the traditional trial and error.
Bayesian Study Using MCMC of Three-Parameter Frechet Distribution Based on Type-I Censored Data

Type-I censoring mechanism arises when the number of units experiencing the event is random but the total duration of the study is fixed. There are a number of mathematical approaches developed to handle this type of data. The purpose of the research was to estimate the three parameters of the Frechet distribution via the frequentist Maximum Likelihood and the Bayesian Estimators. In this paper, the maximum likelihood method (MLE) is not available of the three parameters in the closed forms; therefore, it was solved by the numerical methods. Similarly, the Bayesian estimators are implemented using Jeffreys and gamma priors with two loss functions, which are: squared error loss function and Linear Exponential Loss Function (LINEX). The parameters of the Frechet distribution via Bayesian cannot be obtained analytically and therefore Markov Chain Monte Carlo is used, where the full conditional distribution for the three parameters is obtained via Metropolis-Hastings algorithm. Comparisons of the estimators are obtained using Mean Square Errors (MSE) to determine the best estimator of the three parameters of the Frechet distribution. The results show that the Bayesian estimation under Linear Exponential Loss Function based on Type-I censored data is a better estimator for all the parameter estimates when the value of the loss parameter is positive.