Miracle-dz/UniFAR-FTUs huggingface dataset:
Increasing the capacity of distributed generation in electricity networks by intelligent generator control

The rise of environmental awareness as well as the unstable global fossil fuel market has brought about government initiatives to increase electricity generation from renewable energy sources. These resources tend to be geographically and electrically remote from load centres. Consequently many Distributed Generators (DGs) are expected to be connected to the existing Distribution Networks (DNs), which have high impedance and low X/R ratios. Intermittence and unpredictability of the various types of renewable energy sources can be of time scales of days (hydro) down to seconds (wind, wave). As the time scale becomes smaller, the output of the DG becomes more difficult to accommodate in the DN. With the DGs operating in constant power factor mode, intermittence of the output of the generator combined with the high impedance and low X/R ratios of the DN will cause voltage variations above the statutory limits for quality of supply. This is traditionally mitigated by accepting increased operation of automated network control or network reinforcement. However, due to the distributed nature of RES, automating or reinforcing the DN can be expensive and difficult solutions to implement. The Thesis proposed was that new methods of controlling DG voltage could enable the connection of increased capacities of plant to existing DNs without the need for network management or reinforcement. The work reported here discusses the implications of the increasing capacity of DG in rural distribution networks on steady-state voltage profiles. Two methods of voltage compensation are proposed. The first is a deterministic system that uses a set of rules to intelligently switch between voltage and power factor control modes. This new control algorithm is shown to be able to respond well to slow voltage variations due to load or generation changes. The second method is a fuzzy inference system that adjusts the setpoint of the power factor controller in response to the local voltage. This system can be set to respond to any steady-state voltage variations that will be experienced. Further, control of real power is developed as a supplementary means for voltage regulation in weak rural networks. The algorithms developed in the study are shown to operate with any synchronous or asynchronous generation wherein real and reactive power can be separately controlled. Extensive simulations of typical and real rural systems using synchronous generators (small hydro) and doubly-fed induction generators (wind turbines) have verified that the proposed approaches improve the voltage profile of the distribution network. This demonstrated that the original Thesis was true and that the techniques proposed allow wider operation of greater capacities of DG within the statutory voltage limits.
An attention-based view of supply disruption risk management: balancing biased attentional processing for improved resilience in the COVID-19 context

Purpose – InthecontextoftheCOVID-19pandemic,thisstudyinvestigatesavarietyofapproachestosupply disruptionriskmanagementforachievingeffectiveresponsesforresilienceatthesupplymanagementsubunitlevel(e.g.categoryofitems). Drawingontheattention-basedviewofthefirm,theauthorsmodeltheattentionalantecedentsofsupplyresilienceas(1)attentionalperspectivesand(2)attentionalselection.Attentionalperspectivesfocusoneithersupplyrisksourcesorsupplynetworkrecoverability,andbotharehypothesisedto haveadirectpositiveassociationwithsupplyresilience.Attentionalselectionistopdownorbottomupwhenit comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience. Design/methodology/approach – Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility. Findings – Bothattentionaldisruptionriskmanagementperspectivesareneededtoachievesupplyresilience, andneitherissuperiorintermsofachievingsupplyresilience.Boththeefficiencyofthetopdownandexposuretotheunexpectedwiththebottomupareneeded – to a balanced degree – for improved supply resilience. Practicalimplications – Theresultsencouragefirmstopurposefullydeveloptheirsupplyriskmanagement practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience. Originality/value – Theresultscontributetotheunderstandingofthemicrofoundationsthatunderpinfirms ’ operational capabilities for supply risk and disruption management and possible attentional biases.
Measurement and analysis of breath sounds

Existing breath sound measurement systems and possible new methods have been critically investigated. The frequency response of each part of the measurement system has been studied. Emphasis has been placed on frequency response of acoustic sensors; especially, a method to study a diaphragm type air-coupler in contact use has been proposed. Two new methods of breath sounds measurement have been studied: laser Doppler vibrometer and mobile phones. It has been shown that these two methods can find applications in breath sounds measurement, however there are some restrictions. A reliable automatic wheeze detection algorithm based on auditory modelling has been developed. That is the human’s auditory system is modelled as a bank of band pass filters, in which the bandwidths are frequency dependent. Wheezes are treated as signals additive to normal breath sounds (masker). Thus wheeze is detectable when it is above the masking threshold. This new algorithm has been validated using simulated and real data. It is superior to previous algorithms, being more reliable to detect wheezes and less prone to mistakes. Simulation of cardiorespiratory sounds and wheeze audibility tests have been developed. Simulated breath sounds can be used as a training tool, as well as an evaluation method. These simulations have shown that, under certain circumstance, there are wheezes but they are inaudible. It is postulated that this could also happen in real measurements. It has been shown that simulated sounds with predefined characteristics can be used as an objective method to evaluate automatic algorithms. Finally, the efficiency and necessity of heart sounds reduction procedures has been investigated. Based on wavelet decomposition and selective synthesis, heart sounds can be reduced with a cost of unnatural breath sounds. Heart sound reduction is shown not to be necessary if a time-frequency representation is used, as heart sounds have a fixed pattern in the time-frequency plane.
The Effects of One Session Aerobic with Anaerobic Exercise on Plasma Protein Carbonyl in Karate Girls

The purpose of this study was to compare the effects of aerobic and anaerobic activity on protein carbonyl in blood plasma. Subjects was 15 Karate girls from city of Shiraz with a minimum of six years experience. After coordination, 8 to 9 am test was performed. To examine the effect of aerobic activity on the first day, the Wingate test was performed for all subjects and also after one week, modified Bruce test was performed. Bloodletting in 6 stages (before anaerobic exercise, immediately after anaerobic exercise and 24 hours after anaerobic exercise) was performed. To analyze the findings the KolmogorovSmirnov test, analysis of variance with repeated measures was used to compare variable (α =/005). The results of the analysis showed that there is no significant difference between aerobic and anaerobic training on plasma protein carbonyl in Karate girls.
Specific impact of cardiovascular risk factors on coronary microcirculation in patients with subclinical hypothyroidism

Background Although thyroid hormones have significant effect on cardiovascular system, the impact of subtle thyroid dysfunction such as subclinical hypothyroidism (SCH) remains to be determined. We investigated coronary flow reserve (CFR) in patients with subclinical hypothyroidism. Methods Thirty two subjects with SCH and eighteen control subjects with normal serum thyroid hormones and thyroid-stimulating hormone (TSH) levels were included in the study. TSH, free thyroxine, free triiodothyronine, glucose, insulin, HbA1c, cholesterol, triglyceride and plasma levels of C-reactive protein were measured. Coronary diastolic peak flow velocities in left anterior descending coronary artery were measured at baseline and after adenosine infusion. CFR was calculated as the ratio of hyperemic to baseline diastolic peak velocity. Results CFR values were not significantly different between the two groups (SCH 2.76±0.35 vs controls 2.76±0.42). There was a significant correlation of CFR with waist to hip ratio, hypertension, smoking habits, markers of glucose status (glucose level, HbA1c, insulin level, HOMA IR), cholesterol, LDL-cholesterol and triglyceride levels in SCH group, whereas only cholesterol level showed significant correlation with CFR in controls. There was no correlation between CFR and thyroid hormones. Conclusions We concluded that there is a different impact of cardiovascular risk factors on CFR in SCH patients compared to healthy control and that these two groups behave differently in the same circumstances under the same risk factors. The basis for this difference could be that the altered thyroid axis "set point" changes the sensitivity of the microvasculature in patients with SCH to known risk factors.
Patients’ Satisfaction with Pharmaceutical Care and Associated Factors [Letter]

Department of Pharmacy, College of Health Science, Mettu University, Mettu, Ethiopia Dear editor I read with great interest the published article of Hasen et al describing the patients’ satisfaction with pharmaceutical care and associated factors among patients admitted to medical wards in Jimma University Medical Center. As a clinical pharmacy specialist, I appreciate the importance of assessing the patient’s satisfaction with the newly implemented clinical pharmacy service in Ethiopia. In this letter, I suggest the methodological approaches and additional factors that can affect the patient’s satisfaction in the result part, which I believe would result in more robust findings of the predictors of patient’s satisfaction with the clinical pharmacy service. The author identifies the seven types of drug-related problems found in the medical wards of Jimma university medical center. Despite the reported studies of high drug-related problems among patients admitted to medical ward of Jimma university medical center, the author didn't assess the impact of drugrelated problem on the patient's satisfaction with pharmaceutical care. Therefore, I suggest the direct relationship between drugs-related problems and patient satisfaction. The author Hasen et al found that previous admission was significantly associated with the patients’ satisfaction. This might be due to the patients who had previously been admitted to the hospitals and given the clinical pharmacy service were more likely to have good knowledge and attitude regarding pharmaceutical care that results in increased satisfaction. The authors identified the seven a type of drug-related problems in which nonadherence was the most prevalent. Despite this, adherence was assessed from patient’s chart which was difficult to determine by retrospective reviewing the patient’s chart and therefore I believe and expect a huge number of nonadherences if conducted prospectively. Patient satisfaction is one of the components used to determine the quality of the health-care system. Therefore, patients’ satisfaction was related to health-care quality. Globally, providing quality pharmaceutical care service could satisfy the demands of hospitalized patients. The study did not consider the effects of pharmaceutical care quality on patient satisfaction. The author Hasen et al had used the unstandardized questionnaire based on the extensive review of previous literature. I kindly recommended the authors to use the standard and validated tool to assess the pharmaceutical care service like the Correspondence: Firomsa Bekele Department of Pharmacy, College of Health Science, Mettu University, Mettu, Ethiopia Email firomsabekele21@gmail.com
A COMPETING RISKS ANALYSIS OF THE DETERMINANTS OF STRIKE DURATION IN SPAIN

The aim of this paper is to analyse the determinants of strike duration in Spanish manufacturing and non-manufacturing industries using registry data from the Estadistica de Huelgas y Cierres Patronales, carried out by the Spanish Ministry of Labour and Social Affairs, for the period 1986-1999. The empirical approach includes estimation of duration models and it allows overcoming a major shortcoming of existing studies on strike duration, that is, the fact they do not distinguish between the different ways of ending a strike (or strikes outcomes). We find that strike duration in Spain decreases with the number of workers involved or the coexistence of several applicable agreements to the units in which the strike takes place, and it increases with the presence of minimum services or when the strike is taking place in private firms. The unemployment rate is unable to explain strikes duration, but with respect to real growth rate of GDP strikes ending with agreement are pro cyclical and without agreement counter cyclical. Uncompensated and unexpected inflation decreases duration for strikes ending with agreement and increases it for strikes ending without agreement. Finally, only the labour reform of 1997, based in consensus, affects strikes behaviour, incrementing the risk of a strike ending with agreement and decrementing the risk of ending without agreement.
High cereal prices and the prospects for relief by expansion of private label and antitrust enforcement

This article responds to key points in the GMA Fact Sheet Analysis of cereal industry conduct and performance. It also explains the organization of the industry using research by Wall Street analysts that document high concentration, barriers to entry, and noncompetitive pricing games. The result is high price cost margins and high prices. The judge's decision in State of New York v. P. Morris Kraft General Foods et al. is critiqued. She relies upon a broad definition of competition that compromises the role of price in achieving allocative efficiency in markets. The new application of the antitrust laws to unilateral market power is explained. Finally the prospects for price relief through expansion of private label cereals, although complex, are reasonably good. lEconLit cites: L100, L410, L660r © 1999 John Wiley & Sons, Inc.
Chimeric Investigations into the Diamide Binding Site on the Lepidopteran Ryanodine Receptor

Alterations to amino acid residues G4946 and I4790, associated with resistance to diamide insecticides, suggests a location of diamide interaction within the pVSD voltage sensor-like domain of the insect ryanodine receptor (RyR). To further delineate the interaction site(s), targeted alterations were made within the same pVSD region on the diamondback moth (Plutella xylostella) RyR channel. The editing of five amino acid positions to match those found in the diamide insensitive skeletal RyR1 of humans (hRyR1) in order to generate a human–Plutella chimeric construct showed that these alterations strongly reduce diamide efficacy when introduced in combination but cause only minor reductions when introduced individually. It is concluded that the sites of diamide interaction on insect RyRs lie proximal to the voltage sensor-like domain of the RyR and that the main site of interaction is at residues K4700, Y4701, I4790 and S4919 in the S1 to S4 transmembrane domains.
Predictive Models for Pre-Operative Diagnosis of Rotator Cuff Tear: A Comparison Study of Two Methods between Logistic Regression and Artificial Neural Network

Rotator cuff tears are the most common disorder of the shoulders.agnetic resonance Image (MRI) is the diagnostic gold standard of rotator cuff tears. However, there are some dilemmas in the rotator cuff tears treatment. Clinically, surgical results of rotator cuff tears are sometimes different from MRI results of rotator cuff tears. The main purpose of this study is to build up predicative models for pre-operative diagnosis of rotator cuff tears There are two models of this study are proposed: logistic regression model and artificial neural network model. Patients are divided into two sets: Set1 is patients with full thickness rotators cuff tears. Set 2 is patients with partial thickness rotators cuff tears. The charts of 158 patients are completely reviewed and the collected data were analyzed. The results showed that the predictive accuracy of artificial neural networks model is higher than the predictive accuracy of logistic model. The application of this study can assist doctors to increase the accuracy rate of pre-operative diagnosis and to decrease the legal problems.
A hybrid memristor‐CMOS XOR gate for nonvolatile logic computation

Memristor‐based logic gates that can execute memory and logic operations are promising elements for building non‐von Neumann computation architecture. In this paper, we proposed a fundamental hybrid memristor‐CMOS nonvolatile XOR Boolean logic block with one memristor and four voltage‐controlled switches, such as MOSFET or transmission gate. The Ag/Ag5In5Sb60Te30/Ta structure memristors with bipolar resistive switching behaviors were utilized to experimentally demonstrate the XOR function of the block. Further, with the XOR logic block as a basis, a full adder as an extensive circuit example was designed and verified by HSPICE simulation. Our work shows logic‐in‐memory capabilities with memristors, and provides an alternative way to implement nonvolatile logic operations and construct parallel computation systems.
Dose Related Analgesic, Motor and Reinforcing Effects of Nalbuphine in Rats

Nalbuphine, a semi-synthetic opioid drug, is a kappa (κ) agonist/ mu (μ) partial agonist. It is clinically used for moderate to severe pain. It produces the analgesic effect largely by binding to kappa opioid receptors. The present study was designed to investigate locomotor sensitization as well reinforcing effects of different doses (5, 10 and 20 mg/kg) of nalbuphine in rats. Potential analgesic and hyperalgesic effects after single and repeated administration respectively were also monitored. Reinforcing effects were monitored in a conditioned place preference (CPP) paradigm and associated changes in motor activity were monitored during a drug conditioning phase. The hot plate test was used to monitor nociceptive response. The present study showed that low (5 mg/kg) and high (20 mg/kg) doses of nalbuphine were reinforcing, while the moderate dose (10 mg/kg) had no reinforcing effect in the CPP paradigm. All doses were analgesic after the first administration and on repeated administration hyperalgesia did not develop to any dose. Analgesic effects still occurred at moderate doses of nalbuphine. Sensitization-like effects were produced following moderate and high doses of nalbuphine. These findings suggested that a moderate dose of nalbuphine did not produce reinforcing effects and hyperalgesia so this dose can be used safely for treating pain.
A Shared Representation for Photorealistic Driving Simulators

A powerful simulator highly decreases the need for real-world tests when training and evaluating autonomous vehicles. Data-driven simulators flourished with the recent advancement of conditional Generative Adversarial Networks (cGANs), providing high-fidelity images. The main challenge is synthesizing photorealistic images while following given constraints. In this work, we propose to improve the quality of generated images by rethinking the discriminator architecture. The focus is on the class of problems where images are generated given semantic inputs, such as scene segmentation maps or human body poses. We build on successful cGAN models to propose a new semantically-aware discriminator that better guides the generator. We aim to learn a shared latent representation that encodes enough information to jointly do semantic segmentation, content reconstruction, along with a coarse-to-fine grained adversarial reasoning. The achieved improvements are generic and simple enough to be applied to any architecture of conditional image synthesis. We demonstrate the strength of our method on the scene, building, and human synthesis tasks across three different datasets. The code is available https://github.com/vita-epfl/SemDisc.
Physics‐based mathematical model of 2DEG sheet charge density and DC characteristics of AlInN/AlN/GaN MOSHEMT

In this paper, a physics‐based analytical model for threshold voltage, two‐dimensional electron gas (2DEG) sheet charge density and DC characteristics of the proposed spacer layer‐based AlxIn1−xN/AlN/GaN metal‐oxide‐semiconductor high electron mobility transistor is presented by considering the quasi‐triangular quantum well. 2DEG sheet charge density (ns) is obtained by the variation of Fermi level (Ef) with supply voltage and the formation of energy subbands E0 and E1. An expression for the 2DEG sheet charge density (ns), valid in all regions of device operation, is studied and applied to derive drain current. The proposed model results for sheet charge density and drain current are calculated and verified with experimental data over a full range of applied gate and drain voltages. Scaling of DC performance is studied as a function of gate length to explore the design space of proposed metal‐oxide‐semiconductor high electron mobility transistor. Suppression in the forward gate current is observed because of the insertion of AlN spacer that made it possible to apply a high gate voltage in the transistor operation and is very useful for high power and high frequency applications. Copyright © 2015 John Wiley & Sons, Ltd.
Biological and morphological aspects of Drepatelodes Draudt, 1929, the genus sister to all other Apatelodidae (Lepidoptera: Bombycoidea)

ABSTRACT Despite their relatively high abundance in the Neotropics, so far only a few studies investigated the immature stages of the Apatelodidae. Still, the information available belongs to a few of the typical genera of the family, e.g. Apatelodes and Olceclostera, leaving the natural history of all other described genera mostly unexplored. Here we investigated the immature stages of the Drepatelodes friburgensis(Bombycoidea: Apatelodidae), a representative of the genus sister to the remainder of Apatelodidae, aiming to contribute to a broader view of the biological aspects of this neglected Neotropical family and provide new insights into the evolution of Bombycoidea. Additionally, we present a redescription of the male and the first description of the female of D. friburgensis. Drepatelodes friburgensis shows dome-shaped eggs, covered by scales arranged in radial bands. The larvae are ornamented with two conspicuous fleshy processes (on A3 and A8). The imago has a short proboscis and M3 and CuA1 fused in the hindwing. These characters alone have not been reported for Apatelodidae and may have importance in helping to understand the evolution of the group, here we discussed these characters in an evolutionary context for the family and its relationships within the Bombycoidea.