Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of short-term market sequences on bidding behavior of market participants

This study provides insights into the consequences of market actors’ bidding strategies depending on market design changes, particularly the sequence and timing of different marketplaces. Balancing market bidding represents a complex decision problem for prequalified market participants as they could profit not only from reserving capacity but also from increasing or decreasing their output. At the same time, they face opportunity costs due to trading options in the wholesale markets. The bidding decisions are affected by the planned splitting of balancing capacity and balancing energy markets. Other factors that influence actors’ strategies is the introduction of voluntary balancing energy bids and the gate closure time of the balancing capacity auction with respect to the day-ahead market. We investigate the impact of these changes by developing a theoretical bidding calculus for participants in multiple markets based on decision theory. We study the effect in which markets close and clear using three market design options. The business-as-usual option with a joint market is compared to split balancing capacity and energy markets with clearing for balancing capacity before or after the closure of the day-ahead market. The possibility of submitting voluntary balancing energy bids is explicitly considered in the bid formulation. We find that the effect of splitting balancing capacity and energy markets will be marginal unless the timing of the balancing capacity market is also adjusted and voluntary balancing energy bids are introduced. From a theoretical standpoint, the procurement of balancing capacity day-ahead ensures that balancing providers with low opportunity costs are allocated to the balancing market leading to an efficient market equilibrium. The effect of the introduction of voluntary bids is twofold. It will on the one hand reign in high balancing energy prices but also create higher opportunity costs and, ergo, higher balancing capacity prices as bidders will attempt to compensate for the foregone profits from balancing energy by bidding higher for balancing capacity. Thereby the optimal bidding strategies between bidders using the regular combination of balancing capacity and balancing energy bid and bidders using solely voluntary bids differ. 3 European GRID SERVICE MARKETS Symposium 3-4 July 2019, Lucerne Switzerland P0nn: Market sequences and bidding behavior Page 2-13
CAN-based distributed real-time control in hybrid electric vehicles

The implementation of an efficient real time networking with Controller Area Network (CAN) for distributed real time control in Hybrid Electric Vehicle (HEV) is presented. HEVs are the present potential choice for environmental friendly public transportation systems. Their safety and functionality can be improved and many value added features can be easily incorporated with CAN based distributed control. In HEV different electrical systems are functionally interconnected, requiring exchange of information accurately in real time within defined communication latency. The CAN controller reduces communications burden on the host CPU, thus allows to run its algorithms for better real time power train control. The differential physical layer improves data exchange integrity under EMI from power switching systems in this application. The implementation methodologies for TI TMS320F2406 Digital Signal Processor and PIC18F4480 Micro controller based hardware with inbuilt CAN controllers are highlighted. An efficient mailbox filter configuration and message distribution scheme in different control modules in HEV as well as state machine for minimum boot-up process for CANopen protocol in master and slave nodes are detailed.
Is the Effect of Caloric Restriction on Type 2 Diabetes Mellitus in Rats Mediated Via Sirtuin-1 ?

Background: Type 2 diabetes mellitus is a long-lasting disease that can be improved but not cured. Insulin resistance is the initial disorder occurring in type 2 diabetes mellitus even before the development of hyperglycemia. Both insulin resistance and P -cell dysfunction are linked with obesity especially the visceral adiposity. It was reported that over-nutrition and aging, which are the chief precipitating factors for diabetes, are positively correlated with reduced sirtuin-1 (SIRT1) activity resulting in hyperglycemia and hyperlipidemia. Therefore, reestablishing the normal level and activity of SIRT-1in type 2 diabetes mellitus (T2DM) may be a promising method of treating diabetes. SIRT1 is induced in several tissues during CR and energy deprivation is the major activator of SIRT1 over expression which will respond via stimulating lipolysis through increasing the expression of triglyceride lipase. SIRT1 also inhibits lipogenesis. Aim of the Work: Is to assess the impact of caloric restriction on SIRT1 in the liver and pancreas of type 2 diabetic rats. Material and Methods: 32 male albino rats were included in the study and divided into group I: Control group, group II: Diabetic group, group III: Pre-diabetes CR group and group IV: Post-diabetes CR group. After finishing the experimental study we measured the serum glucose level, serum insulin level, HOMA-IR, SIRT 1 level and activity in liver and pancreas of adult male rats. Results: Our results revealed that both pre-diabetes CR and post-diabetes CR groups were associated with significant improvement of SIRT1 level and activity in liver and pancreas of T2DM rats in addition to their beneficial effect on improving the insulin sensitivity and thus reducing insulin resistance and concomitant hyperglycemia. Conclusion: The decrease in SIRT1 associated with diabetes was actually attenuated by the 30% caloric restriction leading to significant improvement in T2DM. Correspondence to: Dr. Effat A. Khowailed, The Department of Physiology, Faculty of Medicine, Cairo University
Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control

Reinforcement learning (RL) is in essence a trial-and-error process which involves exploratory actions. These explorations can lead to system constraint violations and physical system damages, impeding RL’s use in many real-world engineered systems. In this paper, we develop a safe RL framework that integrates model-free learning with model-based safety supervision to bridge the gap. We exploit the underlying system dynamics and safety-related constraints to construct a safety set using recursive feasibility techniques. We then integrate the safety set in RL’s exploration to guarantee safety while simultaneously preserving exploration efficiency by using the hit-and-run sampling. We design a novel efforts-to-remain-safe penalty to effectively guide RL to learn system constraints. We apply the proposed safe RL framework to the active suspension system in which actuation and state constraints are present due to ride comfort, road handling, and actuation limits. We show that the developed safe RL is able to learn a safe control policy safely while outperforming a nominal controller.
ANTI-INFLAMMATORY ACTIVITY OF FULLERENOL C 60 ( OH ) 24 NANOPARTICLES IN A MODEL OF ACUTE INFLAMMATION IN RATS

With the recent rapid development of nanoscience and nanotechnology, the interest in carbon nanomaterials has been gradually diverted into biological and medical fields. Water soluble fullerene (C60) derivatives synthesized by attaching various polar functional groups to the fullerene cage are promising candidates for many biomedical applications [1]. Fullerene derivatives have the potential to scavenge reactive oxygen species (ROS) [2]. The chemical modification of fullerenes by adding the OH groups to their carbon surface yields a variety of polyhydroxylated structures C60(OH)x, also known as fullerenols or fullerols, exhibiting different degrees of solubility and antioxidant activity in the aqueous environment [3 5]. Fullerenol C60(OH)24 nano-particles (FNP), synthesized in alkaline media by complete substitution of bromine atoms from C60Br24 [6], exerted , S. DOBRIC, A. DJORDJEVIC, D. BOKONJIC , M. BAJCETIC, R. INJAC Centre for Clinical Pharmacology, Military Medical Academy, Belgrade, Serbia National Poison Control Centre, Military Medical Academy, Belgrade, Serbia Institute for Scientific Information, Military Medical Academy, Belgrade, Serbia Faculty of Sciences, Department of Chemistry, Novi Sad, Serbia Department of Pharmacology, Clinical Pharmacology and Toxicology, School of Medicine, University of Belgrade, Serbia Faculty of Pharmacy, Institute of Pharmaceutical Biology, University of Ljubljana, Slovenia
Referee comment on “A mechanism for dust-induced destabilization of glacial climates” by B. F. Farrell and D. S. Abbot

The paper presents the hypothesis of a mechanism that might explain the abrupt change in climate states between stadial and interstadial periods during glaciations, as recorded by paleoclimate archives. The authors' approach makes use of a climate model (SCAM) to reproduce the magnitude of the dust cycle under varying dust loads deduced from observations, and point to the modeled dust-induced changes in the atmospheric stability and the hydrological cycle as the possible drivers for such climate state changes, and advance some speculation on possible feedback mechanisms involving dust. Also, the authors use a stochastic model to simulate a time series showing the transitions between climate states and their timing.
Managing Expectations: Instruments vs. Targets

Should policy communications aim at anchoring expectations of the policy instrument (“keep interest rates at zero until date τ”) or of the targeted outcome (“do whatever it takes to bring unemployment down to $y\%$”)? We study how the optimal approach depends on a departure from rational expectations. People have limited depth of knowledge and rationality, or form otherwise distorted beliefs about the behavior of others and the general equilibrium (GE) effects of policy. The bite of this distortion on implementability and welfare is minimized by target-based guidance if and only if GE feedback is strong enough. This offers a rationale for why central banks should shine the spotlight on unemployment when faced with a prolonged liquidity trap, a steep Keynesian cross, or a large financial accelerator.
Title Quadrature Filters for One-step Randomly Delayed Measurements Names of authors

In this paper, two existing quadrature filters, viz., the Gauss-Hermite filter (GHF) and the sparse-grid Gauss-Hermite filter (SGHF) are extended to solve nonlinear filtering problems with one step randomly delayed measurements. The developed filters are applied to solve a maneuvering target tracking problem with one step randomly delayed measurements. Simulation results demonstrate the enhanced accuracy of the proposed delayed filters compared to the delayed cubature Kalman filter and delayed unscented Kalman filter.
Explorer Learning and Verifying Unwanted Behaviours

Unwanted behaviours, such as interception and forwarding of incoming messages, have been repeatedly seen in Android malware. We study the problem of learning unwanted behaviours from malware instances and verifying the application in question to deny these behaviours. We approximate an application’s behaviours by an automaton, i.e., finite control-sequences of events, actions, and annotated API calls, and develop an efficient machine-learning-centred method to construct and choose abstract sub-automata, to characterise unwanted behaviours exhibited in hundreds and thousands of malware instances. By taking the verification results against unwanted behaviours as input features, we show that the performance of detecting new malware is improved dramatically, in particular, the precision and recall are respectively 8% and 51% better than those using API calls and permissions, which are the best performing features known so far. This is the first automatic approach to generate unwanted behaviours for machine-learning-based Android malware detection. We also demonstrate unwanted behaviours constructed for well-known malware families. They compare well to those described in human-authorised descriptions of these families.
Identifying the effects of health insurance mandates on small business employment and pay ∗

The cost of employee health insurance is steadily increasing, due in part to state mandates that require insurance policies to cover additional medical treatments and services. A prevalent empirical finding is that these mandates have uncertain labor market effects, as most results are statistically insignificant. We determine several reasons for the imprecision in this area of research: small sample bias, heterogeneity in the effects of mandates, and collinearity of mandate legislation. Empirically addressing these factors with population-level data on small business employment, we identify significant employment effects for several mandates and illustrate how pervasively these issues plague identification. ∗Working paper; comments welcome. We thank the W.E. Upjohn Foundation for financial support and Joanna Lahey and Harvey Rosen for their valuable suggestions. Any views expressed in this paper reflect solely the opinions of the authors, and all remaining errors are our own. †Department of Economics, Texas A&M University. Email: jmeer@econmail.tamu. edu. ‡Department of Economics, Texas A&M University. Email: jwest@econ.tamu. edu.
Complexity , size and internal quality in the evolution of mobile applications : An exploratory study

Highlights: Graphical/Tabular Abstract  Complexity, size and internal quality in the evolution of mobile applications  Open source software and software evolution  Software quality evaluation using Spearman correlation analysis technique Mobile applications, though being relatively small and easy to manage in their initial releases, are becoming complex software systems as they evolve rapidly and grow constantly to meet user requirements. However, satisfying these requirements may lead to poor design choices known as ‘antipatterns’ that can degrade software quality and performance. Therefore, perception and monitoring of the characteristics of mobile applications are important activities to facilitate maintenance and development, so that developers are directed to restructure their practices and upgrade their qualifications.
Inter-chromosomal gene contact networks provide insights into mammalian chromatin organization Supplementary Methods Normalization

Normalization As proposed by Kruse et al (2013) and Dixon et al (2012), we used Yaffe and Tanay’s method (2011) to exclude all known Hi-C biases, including correction of read mappability, elimination of nonspecific ligation products and length and GC content biases. We used the published method hicpipe, version 0.93, and experimental Hi-C data is taken in the form of the Hi-C summary file. HindIII cutting sites were found for human and mouse by use of R bioconductor (Gentleman et al. 2004) Biostrings for scanning of the complete genome sequences for the recognition sequence AAGCTT. Mappability score for fragment ends was calculated by division of the genome sequences into artificial 50bp reads, starting every 10bp, and mapping back to the genome with BWA (Li and Durbin, 2009) using default parameters.
A REVIEW OF THE SOFTSHELL TURTLES OF THE GENUS CHITRA , WITH THE DESCRIPTION OF NEW TAXA FROM MYANMAR AND INDONESIA ( JAVA )

– Taxonomic, distribution and morphological data are presented for the trionychid turtle genus Chitra (Testudines: Trionychidae). Many confusing taxonomic details are clarified. Types and type localities are described for both previously named Chitra species. Details of forelimb scalation, chromatic and pattern characteristics, original head drawings accentuating phenotypic characters, shell morphology, general skeletal details, and mitochondrial and nuclear gene sequencing results are presented. The overall range of the genus Chitra is discussed, with details of field collections confirming previously undescribed Indonesian populations. A new species of narrow-headed softshell, Chitra vandijki sp. nov. is described from the Ayeyarwaddy River drainage, Myanmar, distinguished from its congeners by its distribution, a unique combination of carapace, head and neck patterns, and genetic sequence divergence of a level corresponding to full species recognition. A new subspecies of narrow-headed softshell turtle, Chitra chitra javanensis ssp. nov., is described from eastern Java, Indonesia, distinguished from the nominate subspecies by its distribution, by details of carapace, dorsal head and chin patterns, and by a genetic sequence divergence level appropriate to subspecies status. Lastly, a first-use chresonymy is presented for the genus Chitra and included species.
Antibiotic susceptibility pattern of enterococcal isolates from a tertiary care hospital

Enterococci have been regarded as pathogens that seldom cause serious infections. However, in the last decade they have emerged as an important cause of nosocomial infections, with an increasing frequency of multidrug resistance, including high-level resistance to gentamicin and resistance to ampicillin. It is noted that, 5–8 Glycopeptide resistance among enterococci has become increasingly common in many European countries and in North America. Aim: To study the Antibiotic susceptibility pattern of Enterococci and to detect Vancomycin resistant Enterococci (VRE) among the isolates.Materials and Methods: Two hundred (200) clinical isolates were collected from patients admitted from Government Rajaji Hospital,Madurai. Further, various specimens like Blood, Urine, Pus Swab and CSF were collected from the patients depending on the clinical symptoms. The antimicrobial susceptibility testing was carried out by the Kirby Bauer disk diffusion Method. The antibiotics used were Ampicillin, Erythromycin, High level Gentamycin, Ciprofloxacin, Doxycycline, Nitrofurantoin, Vancomycin and Linezolid. Results: Distribution of Enterococcus in this study showed that Enterococcus isolated from blood 20(55.5%), urine 14(38.8%), pus 1(2.7%) and wound swab 1(2.7%). On speciation, E.faecium 18(50%), followed by E.faecalis 15(41.6%) and E.durans 3(8.3%). Conclusion: This study demonstrates the increased prevalence of multidrug resistant enterococci with few isolates being resistant to all the antibiotics tested, thus posing a serious therapeutic challenge.
A CLASSIFICATION OF CUBIC EDGE-TRANSITIVE GRAPHS OF ORDER 46 P 2

A graph is called edge-transitive, if its automorphisms group acts transitively on the set of its edges. In this paper, we classify all connected cubic edge-transitive graphs of order 46p2, where p is a prime. 2000 Mathematics Subject Classification: 05C25; 20B25.
Simulating a Triode Tube Guitar Amplifier Using a Non-Linear State-Space Representation

The triode vacuum tube, invented by Lee De Forest in 1906, is a simple yet powerful device which can be utilized to amplify audio signals. Triode tubes remained widely in use until the 1970s, at which point transistors became favored for their small size and relative power efficiency. Nonetheless in certain applications, particularly electric guitar amplifiers, the “signature” sound which triode tubes create is still valued. Although difficult to describe, triode tubes create a pleasant distortion when the input signal rises above a certain threshold. Everything from the screaming guitar solos of classic rock to the warm and fuzzy tone of older jazz guitar recordings owe their distinctive sound to the effects of triode tube distortion.
Primary Magmas at theVolcanic Front of the NE Japan Arc: Coeval Eruption of Crustal Low-K Tholeiitic and Mantle-derived Medium-K Calc-Alkaline Basalts at AzumaVolcano

It has long been thought that the low-K tholeiitic (TH) and medium-K calc-alkaline (CA) lavas in the NEJapan arc were produced by fractional crystallization from mantle-derived basalt magmas, and that the latter formed from mixing of mafic and felsic magmas, both derived from a common primaryTH basalt through fractionation. An alternative view was recently proposed on the basis of Sr isotope microanalysis of plagioclase phenocrysts from the Zao volcano, suggesting that (1) the low-K TH basaltic andesites formed by melting of lower crustal amphibolite and that (2) the medium-K CA basalts to andesites formed by mixing of mantle-derived basalt and crustal TH melts.To investigate further the origin of the ‘primary’ low-K TH and medium-K CA basalts, we investigated basalts and andesites from Azuma volcano. Azuma is a Quaternary eruption center at the volcanic front in the NE Japan arc that has erupted two types of basalt: (1) radiogenic-Sr (Sr/ Sr1⁄4 0·7058^0·7062) low-K TH basalt lavas without evidence of magma mixing and assimilation; (2) unradiogenic-Sr (Sr/Sr1⁄4 0·7039^0·7041) medium-K CA basalt lavas with subtle evidence for magma mixing. Associated intermediate lavas are voluminous and are all (3) mildly radiogenic-Sr (Sr/ Sr1⁄4 0·7044^0·7055) medium-K andesites, all of which have CA affinities with evidence for rigorous magma mixing but no crustal assimilation. The low-K TH basalt has an isotopic composition similar to that of crustal granitoids beneath Azuma and has a composition indicating that it potentially formed from a high-degree lower crustal amphibolite melt.The medium-KCA basalt has a basaltic groundmass with Mg-rich olivine (Fo89) and calcic plagioclase phenocrysts (An90) and the most unradiogenic Sr (Sr/ Sr1⁄4 0·7037^0·7038), suggesting that it originated from a primary mantle melt. Major and trace element microanalysis of the basaltic groundmass indicates that the primary magma composition is close to high-K. We conclude that the mantle-derived basalt at Azuma is the result of a highto medium-K magma that was later mixed with a low-K TH basalt melt from the amphibolitic lower crust to form medium-K CA basalts and andesites. This supports the view of a lower crustal origin of the low-KTH basalts and simultaneously requires a reappraisal of the origin of the across-arc variation in K contents of the mantle-derived primary arc basalts, as the highto medium-K CA basalt is geochemically fairly similar to the high-K rear-arc basalt in the NE Japan arc.
EFFECTS OF SHEAR STRESS A N D SUBSTRATE L O A D I N G RATE ON PSEUDOMONAS AERUGINOSA BIOFILM THICKNESS A N D DENSITY

-Thickness, roughness, and density data were obtained from monopopulation Pseudomonas aeruginosa biofilms grown in an annular reactor under different substrate loading rates and shear stresses. Biofilm thickness showed significant increases, up to approx. 30 #m, with increasing substrate loading rate. Shear stress had no significant effect on thickness. Biofilm roughness, as measured by the standard deviation of the thickness, increased with increasing thickness. Areal mass density significantly increased with substrate loading rate and was not significantly affected by shear stress. Substrate loading and shear stress did not significantly affect volumetric mass density. A numerical expression that describes changes volumetric density as a function of biofilm depth is presented. Key words--Biofilm, Pseudomonas aeruginosa, accumulation, measurement, thickness, density, shear stress, substrate loading