Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of Pulse Amplitude Modulation based Voltage Control Technique for the Speed Control of BLDC Motor using Class-E Load Resonant Converter

Efficient power conversion systems are the major concerns of any industry. Thus BLDC motors gained higher priority in wide range of applications. Speed control of BLDC motors are very crucial in this attire . Many of the power electronic circuits used for this are subjected to very high switching losses ending up with reduced overall system efficiency. In this paper speed control of BLDC motor is achieved using a Class-E load resonant converter as the front end converter. Simulation of the proposed model was done in MATLAB/SIMULINK. Keywords—BLDC motor,Class E load resonant converter, Converter topologies.
SKILL PREMIUM DIVERGENCE: THE ROLES OF TRADE, CAPITAL AND DEMOGRAPHICS

We construct an applied general equilibrium model to account for diverging patterns of the skill premium. Our framework assesses the roles of various factors that aﬀect the demand and supply of skilled and unskilled labor—shifts in the skill composition of the labor supply, changes in the terms of trade and the complementarity between skilled labor and equipment capital in production. We ﬁnd that increases in the relative skilled labor supply due to demographic changes lead to a decline in the skill premium, while equipment capital deepening raises the relative demand for skilled labor which in turn increases the skill premium. In addition, terms of trade changes lead to the reallocation of resources towards sectors in which countries enjoy comparative advantages. Since our model incorporates multiple factors simultaneously, it can generate either rising or falling skill premium paths. When we parametrize the model to the Baltic states—countries that were similar along many dimensions at the onset of their transition from centrally-planned to market-oriented economies—our model can closely account for the diverging patterns of skill premia for the period between 1995 and 2008
IAES International Journal of Artificial Intelligence (IJ-AI)

Received Jun 21, 2021 Revised Dec 24, 2021 Accepted Jan 2, 2022 Coronary artery disease (CAD) is a category of cardiovascular disease that causes the highest mortality rate in the world. CAD occurs due to plaque build-up on the walls of the arteries that supply blood to the heart and other organs of the body. To control the mortality rate, a practical model that is capable of predicting CAD is needed. Machine learning approaches have been used in solving various problems in various domains, including biomedicine. However, real-world data often has an unbalanced class distribution that can interfere with classifier performance. In addition, data has many features to process. This study focuses on effective modeling capable of predicting CAD using feature selection to handle high dimensional data and feature resampling to handle unbalanced data. Feature selection is very effective by eliminating irrelevant features from the training data. Hyperparameter tuning is also done to find the best combination of parameters in support vector machines (SVM). Our results show that the SVM cross-validated ten times has a more accurate training result. Furthermore, the grid search on SVM cross-validated ten times had more accurate training model results and achieved 88% accuracy on the test data.
Dynamic Power Management Model for a Wireless Sensor Node

Dynamic power management (DPM) is an efficient technique to design low-power and energy-efficient nodes for wireless sensor networks. This article demonstrates the stochastic behaviour of an input event arrival which is modelled with first-in first-out (FIFO) queue and a single server. An event-driven sensor node is developed based on semi-Markov model. The article investigates the factors affecting the performance of the individual sensor node with detailed analysis considering power consumption and lifetime to be the performance metrics under study. The results demonstrate the impact of the change in event arrival and the probability of change detection on the performance of the node. It is observed that (i) the number of generated events increases with the change in the average value of the distribution which affects the service time in turn resulting in a variation of the server utilization, and that (ii) the increase in the detection probability increases the power consumption decreasing the lifetime of the node.
Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation

Auditory localisation accuracy may be degraded when a head-worn device (HWD), such as a helmet or hearing protector, is used. A computational method is proposed in this study for estimating how horizontal plane localisation is impaired by a HWD through distortions of interaural cues. Head-related impulse responses (HRIRs) of different HWDs were measured with a KEMAR and a binaural auditory model was used to compute interaural cues from HRIR-convolved noise bursts. A shallow neural network (NN) was trained with data from a subjective listening experiment, where horizontal plane localisation was assessed while wearing different HWDs. Interaural cues were used as features to estimate perceived direction and position uncertainty (standard deviation) of a sound source in the horizontal plane with the NN. The NN predicted the position uncertainty of localisation among subjects for a given HWD with an average estimation error of 1°. The obtained results suggest that it is possible to predict the degradation of localisation ability for specific HWDs in the frontal horizontal plane using the method.
Solving Radiance Transport as a Differential Equation

We introduce an alternative to Monte-Carlo techniques for solving radiance transport problems for participating media. We use a reformulation of the volume rendering equation from its standard integro-differential form to a purely differential form. We then leverage the large body of work in numerical methods for solving differential equations by framing and analyzing the problem as a differential equation. To our knowledge, this is the ﬁrst application of such techniques in the area of photo-realistic rendering of volumes based on ray optics. Categories and Subject Descriptors (according to ACM CCS) : I.3. 7 [Computer Graphics]: Color, shading, shadowing, and texture
Executive Summary Diagnosis and Evaluation of Hypersensitivity Pneumonitis

Evans R. Fernández Pérez, MD, FCCP; William D. Travis, MD, FCCP; David A. Lynch, MB, BCh; Kevin K. Brown, MD, FCCP; Kerri A. Johannson, MD, MPH; Moisés Selman, MD; Jay H. Ryu, MD, FCCP; Athol U. Wells, MD; Yuh-Chin Tony Huang, MD, MHS, FCCP; Carlos A. C. Pereira, MD, FCCP; Mary-Beth Scholand, MD, FCCP; Ana Villar, MD, PhD; Naohiko Inase, MD, PhD; Richard B. Evans, MD, MPH, FCCP; Stephen A. Mette, MD, FCCP; and Lindsy Frazer-Green, PhD
DBPEDIA BASED FACTUAL QUESTIONS ANSWERING SYSTEM

The creation of generic natural language query and answering (QA) systems is an active goal of the Semantic Web since it would allow people to conduct any query using their native language. Current solutions already handle factual questions mostly in English. The aim of this work was to develop a QA system to query knowledge bases (KB) such as DBpedia, in a first version, using factual questions in Portuguese, and in a second version, factual questions in English, French and German. This involves representing queries in terms of the KB ontology using SPARQL. The process of constructing a SPARQL query representing the natural language input involves determining: (1) the type of answer that is being sought - a person, a place, etc. - which is done by looking at the wh -words of wh -questions; (2) the main topic of the question - which person, place, etc. - obtained by morphosyntactic analysis to discover the potential subjects of the question; and (3) the properties that can be mapped to the KB ontology for creating a SPARQL query as precise as possible. The first version of the system, working for Portuguese, was tested by with 22 questions without guarantee that the answer was in the KB, and the multilingual version was tested with 30 random questions from QALD 7 (Question Answering over Linked Data) training set. The correctness of the answers was verified as well if the answer exists in the KB when the system did not produced results. A correct answer was produced for 67% of the questions for the Portuguese version and up to 55% (for English) of times for multi-language version considering that the answer existed in the KB. Results show that this approach is promising and further investigation should be done to improve it. The robustness observed, and capability to handle several languages, fosters future work to expand the system to answer questions of other types.
DMSO_A_339698 69..78

1Department of Endocrinology, Peking University First Hospital, Beijing, 100034, People’s Republic of China; 2Department of Cardiology, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People’s Republic of China; 3Department of Cardiology, Peking University First Hospital, Beijing, 100034, People’s Republic of China Purpose: We aimed to examine the association between plasma trimethylamine N-oxide (TMAO), a gut microbial metabolite from dietary phosphatidylcholine, and coronary atherosclerotic burden in patients with type 2 diabetes (T2D). Methods: In total, 349 patients with T2D were studied, including 70 controls and 279 patients with coronary artery disease (CAD) by coronary angiography. Coronary atherosclerotic burden is quantified by the number of diseased coronary branches and SYNTAX (Synergy between PCI with Taxus and Cardiac Surgery) score. Plasma TMAO levels were determined by UHPLC–MS/MS technique. Results: The TMAO concentration was significantly higher in the patients with triple vessel disease (TVD) (3.33 [IQR: 1.81–6.65] μM) than those without TVD (2.62 [IQR: 1.50–4.73] μM) (P = 0.015). A similar difference was found between patients with SYNTAX score >22 (3.93 [IQR: 1.81–6.82] μM) and those with SYNTAX score ≤22 (2.54 [IQR: 1.44–4.54] μM) (P = 0.014). TMAO was not significantly correlated with the presence of CAD. Among patients with eGFR <60 mL/min/1.73 m, the highest tertile of TMAO was significantly associated with TVD (OR = 25.28, 95% CI [2.55–250.33], P = 0.006) and SYNTAX score >22 (OR = 7.23, 95% CI [1.51–34.64], P = 0.013) independent of known risk factors of CAD, compared with lower TMAO tertiles. Conclusion: TMAO was not independently correlated with the presence of CAD and severity of coronary atherosclerosis in the included population. Nevertheless, the significant association between circulating TMAO and higher coronary atherosclerotic burden was observed in patients with eGFR of lower than 60 mL/min/1.73 m.
Comparing ERPs between native speakers and second language learners: Dealing with individual variability

Event-related potentials (ERPs) are of great interest in second language acquisition research, as they allow us to examine online language processing and to compare themechanisms that are engaged to process a first and second language. A long history of research into native language processing has taught us to expect a biphasic pattern in response to syntactic violations, reflecting mechanisms involved first in the automatic and implicit detection of the incongruity and then in the reanalysis and repair of the ungrammatical sentence. However, recent studies show that there is a large degree of individual variability even among native speakers: Instead of this biphasic pattern, most people exhibit one or the other of the two components. This raises an interesting question for second-language research: How do we compare learners and native speakers if there is no unique native-speaker model to compare learners to? In this chapter, I explore two measures that have been put forward to characterise individual variability among native speakers and language learners, the Response Magnitude Index and the Response Dominance Index (Tanner et al. 2014), and I show an example of their application to a study comparing native-speaker and non-native-speaker processing of morphosyntactic violations using auditory stimuli instead of visual stimuli.
Underground Wireless Sensor Networks Using 2 nd Generation RF Transceivers

The introduction of low-cost chip transceivers has driven the exploration of applications extending wireless sensing technology below the ground. The fundamental challenge with wireless underground sensor networks (WUSNs) however is that the high dielectric permittivity of the soil leads to significant absorption losses during electromagnetic (EM) wave propagation. The underground wave is also subject to attenuation due to phenomena such as multi-path fading, reflection and refraction, effectively limiting the node-to-node communication distance to just a few meters. Although some analytical and empirical models have been proposed to characterize the underground RF channel, validation of these models using commercial off-the-shelf wireless sensing hardware has been limited. This research aims to better characterize the performance of WUSNs in different soils, under varying soil conditions, and with different transceiver configurations. Parametric analysis of the influence of carrier frequency, data rate and modulation format on underground EM wave propagation is included. The experiment includes controlled laboratory tests in uniform soil with prepared moisture content and density as well as an in-situ field deployment. Presented are laboratory and field testing data conducted with 2nd generation wireless sensor networks, commonly used in terrestrial applications, buried in underground environments. An extensive matrix of tests is conducted to examine the influence of both radio characteristics, including modulation format, carrier frequency, and data rate, as well as locational characteristics, including transmission distance and depth of burial, on the received signal strength of the transmitted packets. Statistical analysis of the experimental data acquired in the laboratory and field is found to be consistent and indicate that carrier frequency, data rate, and transmission distance most strongly influence the received
Experimental Methods of Investigating Airborne Indoor Virus-Transmissions Adapted to Several Ventilation Measures

This study introduces a principle, which unifies two experimental methods for airborne indoor virus-transmissions adapted to several ventilation measures. A first-time comparison of mechanical/natural ventilation and air purifiers with regard to infection risks is achieved. Effortful computational fluid dynamics demand detailed boundary conditions for accurate calculations of indoor airflows, which are often unknown. Hence a suitable, simple and generalized experimental set up for identifying the spatial and temporal infection risk for different ventilation measures is required. A trace gas method is suitable for mechanical and natural ventilation with outdoor air exchange. For an accurate assessment of air purifiers based on filtration a surrogate particle method is appropriate. The release of a controlled rate of either trace gas or particles simulates an infectious person releasing virus material. Surrounding substance concentration measurements identify the neighborhood exposure. One key aspect of the study is to prove that the requirement of concordant results of both methods is fulfilled. This is the only way to ensure that the comparison of different ventilation measures described above is reliable. Two examples (a two person office, several classrooms) show how practical both methods are and how the principle is applicable for different types and sizes of rooms.
Genetic background of grey matter brain networks related to attention-deficit/hyperactivity disorder

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder and is associated with structural grey matter differences in the brain. We investigated the genetic background of some of these brain differences in a sample of 899 adults and adolescents consisting of individuals with ADHD and healthy controls. Previous work in an overlapping sample identified three ADHD-related grey matter brain networks located in areas of the superior, middle, and inferior frontal gyrus as well as the cerebellar tonsil and culmen. We associated these brain networks with protein coding genes using a statistical stability selection approach. We identified ten genes, the most promising of which were NR3C2, TRHDE, SCFD1, GNAO1, and UNC5D. These genes are expressed in brain and linked to neuropsychiatric disorders including ADHD. With our results we aid in the growing understanding of the aetiology of ADHD from genes to brain to behaviour.
Technology's Storytellers: Reweaving the Human Fabric

Technology's Storytellers documents the emergence of the history of technology as a coherent intellectual discipline. Based on an analysis of nearly 300 articles published in Technology and Culture, it proposes a mode of historical research as a communal rather than an individualistic endeavor -- looking for patterns of consensus in the authors' choice of time periods, geographical locations, and types of technology to study. It discusses the recurrent themes of the relationship between science and technology and the cultural ambience of technology, and examines the extent to which historians are moving away from a once pervasive ideology of autonomous technological progress.Co-published with the Society for the History of Technology.
Healthy Relationships on the Autism Spectrum (HEARTS): A feasibility test of an online class co-designed and co-taught with autistic people

This study tested the feasibility and preliminary efficacy of a six-session online class on healthy relationships for autistic individuals ages 18–44 years old (N = 55). The content of the Healthy Relationships on the Autism Spectrum class was informed by formative research with 25 autistic individuals, and developed collaboratively by two non-autistic professionals and seven autistic self-advocates. Fifty-five autistic people participated in Healthy Relationships on the Autism Spectrum and completed pre- and post-surveys. The study found that it was feasible to deliver Healthy Relationships on the Autism Spectrum online. Pairing an autistic and non-autistic person to co-teach was well-received. Participants decreased hostile automatic thoughts (p < 0.05), involvement in dating abuse in intimate relationships (p < 0.05), fight-or-flight response (p < 0.05), and rejection sensitivity (p < 0.001). Participants experienced improved flourishing (p < 0.001), coping with rejection and jealousy (p < 0.001), motivation to engage with others for socializing (p < 0.05), self-compassion (p < 0.05), and positive thinking (p < 0.05). Scores on a measure of interpersonal competence did not change, and loneliness did not decrease. The majority of participants reported high satisfaction with the class. Healthy Relationships on the Autism Spectrum is a promising healthy relationships promotion class that should be evaluated through a randomized controlled trial. Lay abstract The Healthy Relationships on the Autism Spectrum class is unique because autistic people helped to develop it and co-taught it. It is an online, six-session class. The class was piloted in 2020–2021 with 55 autistic people who were ages 18–44 years old. This feasibility study found that most people who took the class liked it. Surveys filled out by the students before and after the class showed that they became less sensitive to rejection, used more positive thinking skills, and were more interested in being social. However, the class may not have made them feel less lonely. The team that invented the class is using the feedback to improve it. The class holds promise for improving the quality of friendships and dating relationships for autistic adults and should be tested further.
Mindfulness attenuates the impact of worry on late-life cognitive function

Abstract Objectives: Worry has been shown to have a negative impact on many aspects of neurocognitive performance. Interestingly, research indicates mindfulness both improves aspects of cognitive ability and reduces worry symptoms. Yet, the impact of mindfulness on the relationship between worry and cognition has yet to be explored. Based on research discussed herein, we hypothesize that those with higher levels of dispositional mindfulness will have better cognitive performance than those with lower levels of dispositional mindfulness, regardless of worry level. The present study investigated the potential moderating influence of mindfulness on the relationship between worry and cognitive performance. Methods: The sample included 113 older veterans who were screened at the VA Palo Alto Health Care System in Palo Alto, CA. Cognitive domains of interest included learning and memory, processing speed, attention, working memory, and executive function. Mindfulness was assessed with the Five Facet Mindfulness Questionnaire (FFMQ), and worry symptoms were assessed using the Penn State Worry Questionnaire (PSWQ). Hypotheses were tested with multiple regression analyses using the Hayes (2003) PROCESS macro. Results: Contrary to what was hypothesized, only mindful awareness significantly moderated the relationship between worry and processing speed. Conclusion: This finding has important implications for introducing mindfulness techniques into older adults’ routines to decrease worry and mitigate its negative effects on processing speed.
Ethical Issues to Consider in Designing Suicide Prevention Studies: An Expert Consensus Study

Abstract Aim Research is imperative to advance our understanding of suicidal behavior and its prevention. Suicide prevention research involves various ethical issues, many of which are not straightforward to address. Hence, suicide prevention researchers sometimes face particular issues when designing their research studies. This expert consensus study aimed to identify the most important ethical issues to consider when designing suicide prevention studies. Methods People with lived experience of suicide (N = 32) and suicide prevention researchers (N = 34) rated 80 statements on a 5-point Likert scale from “essential” to “should not be included. ” Results There was significant agreement between and within the two groups of participants with regard to the most highly rated statements. The most highly rated statements for both groups included the importance of the ethical principles of merit, integrity, justice, and beneficence. Additionally, lived experience participants placed emphasis on the support and care for researchers, and suicide prevention researchers placed emphasis on the risk management protocols and support services for participants. Conclusion There was strong agreement between people with lived experience of suicide and suicide prevention researchers regarding what to consider when designing ethically sound suicide prevention research, including the importance of ethical principles and support for both participants and researchers. HIGHLIGHTS There was strong agreement between people with lived experience of suicide and researchers. Researchers emphasized adherence to national guidelines. People with lived experience of suicide valued care for study participants and researchers.