Miracle-dz/UniFAR-FTUs huggingface dataset:
Renewable Energy Sources vs Control of Slovak Electric Power System

The chapter presents issues of renewable energy sources connection into Slovak power system. It describes calculation techniques for estimating acceptable RES capacities, which can be connected into the system, without jeopardizing security and quality of supplied electricity. Calculations of additional expenses for regulation power purchase for various values of RES capacities connected are presented in the second part of the chapter. The interest in construction of photovoltaic power plants in Slovak Republic soared in 2008. A new act concerning renewable energy sources and remarkably generous prices paid for electricity from these sources (associated with the act) stimulated investors’ interest in building new plants. Based upon experience from other countries and following analysis of possibilities for procuring own sources of balancing electricity for auxiliary services, Slovak Electricity Transmission System, Plc. (SEPS) placed an order to Department of Power Electrical Systems to elaborate a study in which a maximum capacity of PV plants would be determined, which can be connected into the power system, taking into account availability of balancing power for secondary and tertiary regulation. Developed study determined 120 MWp as maximum power of PV plants, which can be connected in 2010. Influence from EU side and from investors and construction of new thermal and nuclear power plants in Slovakia necessitated an elaboration of a new study, which would analyse the situation in transmission system with respect of balancing electricity for the case, when new PV plants with capacity up to 1 200 MWp are connected. This chapter presents solution of this matter and some results. Determination of connectable capacity of PV plants into power system of Slovakia can be accomplished from different points of view. One of them can be based on the basic condition, which is used in all studies concerned PV plants connection into distribution network. This condition states, that voltage change in point of common coupling should be less than 2 %, compared with the situation before plant connection. If this condition is applied, resultant connectable capacity should be relatively high, as 22 kV lines can easily withstand considerably higher loads than those of current ones. Probably 80 to 90 % of demanded capacity could be accepted in this case. This consideration can be hardly accepted due to sources features, which show a vast variability of power, practically in whole power range. In addition, capacities of PV plants are usually lower than 4 MW, thus the responsibility for balance is brought to the distribution company. But the power balance can only be solved on the Slovak transmission system level.
Scheduling policies and system software architectures for mixed-criticality computing

Mixed-criticality model of computation is being increasingly adopted in timing-sensitive systems. The model not only ensures that the most critical tasks in a system never fails, but also aims for better systems resource utilization in normal condition. In this report, we describe the widely used mixed-criticality task model and fixed-priority scheduling algorithms for the model in uniprocessors. Because of the necessity by the mixed-criticality task model and scheduling policies, isolation, both temporal and spatial, among tasks is one of the main requirements from the system design point of view. Different virtualization techniques have been used to design system software architecture with the goal of isolation. We discuss such a few system software architectures which are being and can be used for mixed-criticality model of computation.
Achieving Health Equity Through Community Engagement in Translating Evidence to Policy: The San Francisco Health Improvement Partnership, 2010–2016

Background The San Francisco Health Improvement Partnership (SFHIP) promotes health equity by using a novel collective impact model that blends community engagement with evidence-to-policy translational science. The model involves diverse stakeholders, including ethnic-based community health equity coalitions, the local public health department, hospitals and health systems, a health sciences university, a school district, the faith community, and others sectors. Community Context We report on 3 SFHIP prevention initiatives: reducing consumption of sugar sweetened beverages (SSBs), regulating retail alcohol sales, and eliminating disparities in children’s oral health. Methods SFHIP is governed by a steering committee. Partnership working groups for each initiative collaborate to 1) develop and implement action plans emphasizing feasible, scalable, translational-science–informed interventions and 2) consider sustainability early in the planning process by including policy and structural interventions. Outcome Through SFHIP’s efforts, San Francisco enacted ordinances regulating sale and advertising of SSBs and a ballot measure establishing a soda tax. Most San Francisco hospitals implemented or committed to implementing healthy-beverage policies that prohibited serving or selling SSBs. SFHIP helped prevent Starbucks and Taco Bell from receiving alcohol licenses in San Francisco and helped prevent state authorization of sale of powdered alcohol. SFHIP increased the number of primary care clinics providing fluoride varnish at routine well-child visits from 3 to 14 and acquired a state waiver to allow dental clinics to be paid for dental services delivered in schools. Interpretation The SFHIP model of collective impact emphasizing community engagement and policy change accomplished many of its intermediate goals to create an environment promoting health and health equity.
Understanding Posterior Collapse in Generative Latent Variable Models

Posterior collapse in Variational Autoencoders (VAEs) arises when the variational distribution closely matches the uninformative prior for a subset of latent variables. This paper presents a simple and intuitive explanation for posterior collapse through the analysis of linear VAEs and their direct correspondence with Probabilistic PCA (pPCA). We identify how local maxima can emerge from the marginal log-likelihood of pPCA, which yields similar local maxima for the evidence lower bound (ELBO). We show that training a linear VAE with variational inference recovers a uniquely identiﬁable global maximum corresponding to the principal component directions. We provide empirical evidence that the presence of local maxima causes posterior collapse in non-linear VAEs. Our ﬁndings help to explain a wide range of heuristic approaches in the literature that attempt to diminish the eﬀect of the KL term in the ELBO to alleviate posterior collapse.
Quasi-Biennial Oscillations in Atmospheric Ozone from the Chemistry-Climate Model and Ozone Reanalysis

The quasi-biennial oscillation is the primary mode of variability of the equatorial mean zonal wind in the lower stratosphere, which is characterized by downward propagating easterly and westerly wind regimes from 10 hPa level with a period approximately 28 months. The effects of the stratospheric quasi-biennial oscillation in zonal winds (SQBO) are not only confined to atmospheric dynamics but also seen in the chemical constituent (trace gases) anomalies such as ozone, water vapor, carbon monoxide and methane in the lower stratosphere. In this study, we examined the SQBO and associated ozone quasi-biennial oscillation (OQBO) using the chemistry-climate model CHASER (MIROC-ESM) simulations and ECMWF ERA-Interim ozone reanalysis for the period 2000-2015. We used lower stratospheric zonal wind from the radiosonde observations and total column ozone (TCO) from Aura Satellite (OMI Instruments) over Singapore to compare the SQBO and OQBO phases with model and reanalysis. The SQBO shows large variations in magnitude and periodicity during the period of study and the amplitude of OQBO also changes in accordance with the westerly (+ve ozone anomaly) and easterly (-ve ozone anomaly) phases of SQBO. During the Westerly phase of Ozone QBO (WQBO) corresponds to average positive total ozone anomaly of ~10 DU and in the Easterly phase of Ozone QBO (EQBO) corresponds to an average negative total ozone anomaly ~−10 DU in the tropical lower stratosphere. Since the SQBO phases were explained by the vertical propagations of Mixed-Ross by Gravity (MRG) waves and Kelvin waves, the correlation of ozone volume mixing ratio with zonal and vertical velocities gives quasi-biennial signals, which indicate the OQBO mechanism more related to dynamical transport than the stratospheric photochemical variations. Since the average amplitude of OQBO phases gives ~+/− 10 DU from the observations during easterly and westerly phases SQBO, we need more research focused on the dynamical transport than the photochemical changes to understand the tropical ozone variability due to the ozone quasi-biennial oscillations.
Key Result : Linearly Independent Data Leads to Connected Sublevel Sets

This paper shows that every sublevel set of the loss function of a class of deep overparameterized neural nets with piecewise linear activation functions is connected and unbounded. This implies that the loss has no bad local valleys and all of its global minima are connected within a unique and potentially very large global valley.
Quantifying AS Path Inflation by Routing Policies

A route in the Internet may take a longer AS path than the shortest AS path due to routing policies. In this paper, we systematically analyze AS paths and quantify the extent to which routing policies inflate AS paths. The results show that AS path inflation in the Internet is more prevalent than expected. We first present the extent of AS path inflation observed from the RouteView and RIPE routing tables. We then employ three common routing policies to show the extent of AS path inflation. We find that No-Valley routing policy causes the least AS path inflation among the three routing policies. PreferCustomer-and-Peer-over-Provider policy causes the most AS path inflation. In addition, we find that single-homed stub ASes experience more path inflations than transit ASes and multi-homed ASes. The AS pairs with shortest AS path of 3 AS hops experience more path inflations than other AS pairs. Finally, we investigate the AS path inflation on the end-to-end path from end users to two popular content providers, Google and Comcast. Although the majority of the shortest AS paths from end users to the two providers consists of no more than three AS hops, the actual end-to-end paths that the traffic will take are longer than the shortest AS paths in many cases. Quantifying AS path inflation in the Internet has important implications on the extent of routing policies, traffic engineering performed on the Internet, and BGP convergence speed.
NUMERICAL SIMULATION OF TRANSIENT TEMPERATURE IN FLASH BUTT-WELDED AXISYMMETRIC CIRCULAR SECTIONS

Thermal history along the length of a circular section subjected to flash-butt welding was analyzed by the finite difference method. A one–dimensional nonlinear thermal numerical simulation using a computational model based on the finite difference approach is formulated taking into consideration fusion zone (FZ) temperature as a measure of heat input, ambient and initial temperature of rod. Flexibility of physical characteristics such as bar length, diameter and temperature dependency of thermal properties and variation of boundary conditions were applied. Peak temperatures of 490C and 410C were computed for a 20 mm external diameter solid and hollow pipes respectively at distance 5 mm from weld line. Preheat temperatures of 200C and 400C resulted into a 41.1% and 89.3% increase respectively in peak temperature as compared with non preheat conditions. The predicted values from this model compared reasonably with experimentally obtained thermal histories.
BUNDESLIGA MANAGER : New Generation Online Soccer Games

This paper describes a new generation online soccer manager. More than 210,000 users operate TOPLEAGUE and the OFFICIAL BUNDESLIGA MANAGER, complex real-time soccer simulators that are based on actual data of real professional soccer players. The underlying technology is a hierarchical three-tier multiagent system that consists of autonomous BDI agents and allows dynamic group structures (e.g. an emergent situation for a wing attack). The German Bundesliga, one of the most prestigious soccer leagues in the world, adopted this AI system for their official web site. The online games run seamlessly in a web browser with a state-of-the-art 3D visualization engine. Fundamental research within the domain of the RoboCup simulation league is the basis for this technology. We will describe the architecture of the multiagent system (MAS) in this paper, discuss motion capture techniques for graphical animation, and reveal details about user acceptance of the games.
Two-way vector modulator SiGe MMIC for millimeter-wave phased array applications

This paper presents a two-way vector modulator integrated circuit aimed for millimeter wave phased array systems. The active vector modulator is based on the Cartesian topology. Phase can be tuned continuously 360 degrees and the usable gain control range is more than 10 dB. The chip includes a low-noise preamplifier and a buffer amplifier in both receive and transmit paths, which are coupled together using a T-junction. The chip can be used from 60 to 80 GHz and the maximum gain is 30 dB at 67 GHz and The chip is processed in 0.35μm silicon germanium technology. Size of the chip including the pads is 2.5 × 1 mm2 from which one vector modulator core occupies 0.3 × 0.3 mm2.
Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios

Multi-temporal Landsat images from Landsat 5 Thematic Mapper (TM) acquired in 1993, 1998, 2003 and 2008 and Landsat 8 Operational Land Imager (OLI) from 2017, are used for analysing and predicting the spatio-temporal distributions of land use/land cover (LULC) categories in the Halgurd-Sakran Core Zone (HSCZ) of the National Park in the Kurdistan region of Iraq. The aim of this article was to explore the LULC dynamics in the HSCZ to assess where LULC changes are expected to occur under two different business-as-usual (BAU) assumptions. Two scenarios have been assumed in the present study. The first scenario, addresses the BAU assumption to show what would happen if the past trend in 1993–1998–2003 has continued until 2023 under continuing the United Nations (UN) sanctions against Iraq and particularly Kurdistan region, which extended from 1990 to 2003. Whereas, the second scenario represents the BAU assumption to show what would happen if the past trend in 2003–2008–2017 has to continue until 2023, viz. after the end of UN sanctions. Future land use changes are simulated to the year 2023 using a Cellular Automata (CA)-Markov chain model under two different scenarios (Iraq under siege and Iraq after siege). Four LULC classes were classified from Landsat using Random Forest (RF). Their accuracy was evaluated using κ and overall accuracy. The CA-Markov chain method in TerrSet is applied based on the past trends of the land use changes from 1993 to 1998 for the first scenario and from 2003 to 2008 for the second scenario. Based on this model, predicted land use maps for the 2023 are generated. Changes between two BAU scenarios under two different conditions have been quantitatively as well as spatially analysed. Overall, the results suggest a trend towards stable and homogeneous areas in the next 6 years as shown in the second scenario. This situation will have positive implication on the park.
Uncertainty shocks and asymmetric dynamics in Korea: a non-linear approach

ABSTRACT This study investigates the impact of uncertainty shocks on macroeconomic activity in Korea. For this purpose, a Smooth Transition VAR model is employed to document the state-dependent dynamics of two distinct types of uncertainty shocks, namely, financial market based and news-based. When non-linearity is allowed to play a role in our model, quantitatively very different asymmetric dynamics are observed. Following inflation targeting, the responses tend to be smoother and less pronounced. Our empirical results support the view that the link between uncertainty and macroeconomic activity is clear over both recessions and expansions. Furthermore, the impact of uncertainty shocks is more pronounced when economic activity is depressed especially after shocks originate from the financial market, and not from news-based policy uncertainty in Korea.
P rotective effects of Berberis crataegina DC . ( Ranunculales : Berberidaceae ) extract on Bleomycin-induced toxicity in fruit flies ( Diptera : Drosophilidae ) ATICI

Antineoplastic agents due to their cytotoxic effects increase the amount of free radical in cells causing cell death. The aims of this study were to assess the possible toxic effects of Bleomycin (BLM) on the number of offspring and survival rate of fruit flies as well as the protective role of Berberis crataegina DC. fruit extracts (BCE) on these effects. Solutions prepared in different concentrations (0.125 mg/mL for BLM; 10 and 20 mg/mL for BCE) were applied to the adult fruit fly Drosophila melanogaster’s wild-type individuals and 72 ± 4 h larvae to determine the number of offspring and survival rate, respectively. As a result, the higher number of offspring and survival rate in the BCE + BLM applied groups than the only BLM applied groups shows that BCE is an antioxidant and has a protective effect (p< 0.05). This protective effect can be explained as the prevention or removal of the free radicals formation from the environment.
CMMI-DEV Implementation Simplified A Spiral Software Model

With the advance technology and increase in customer requirements, software organizations pursue to reduce cost and increase productivity by using standards and best practices. The Capability Maturity Model Integration (CMMI) is a software process improvement model that enhances productivity and reduces time and cost of running projects. As a reference model, CMMI does not specify systemic steps of how to implement the model practices, leaving a room for organization development approaches. Small organizations with low budgets and those who are not looking for CMMI appraisals cannot cope with the high price of CMMI implementation. However, they need to manage the risk of CMMI implementation under their administration. Therefore, this paper proposes a simplified plan using the spiral model to implement the CMMI to reach level 2. The objective is to make the implementation more straightforward to implement and fit CMMI specification without hiring external experts. Compared to related implementation frameworks, the proposed model is deemed competitive and applicable under organizations’ conditions. Keywords—CMMI; Spiral model; Capability Maturity Model Integration; process improvement; CMMI Implementation
Color dark Taxonomy nightdress Length short Material cotton Type casual Color beige Taxonomy nightdress Length mini Material silk Type patchwork Color dark Taxonomy nightdress Length

Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user’s goal at each step of the dialogue and provides a direct way to validate the ability of dialogue understanding. However, existing studies on belief trackers are largely limited to textual modality, which cannot be easily extended to capture the rich semantics in multimodal systems such as those with product images. For example, in fashion domain, the visual appearance of clothes play a crucial role in understanding the user’s intention. In this case, the existing belief trackers may fail to generate accurate belief states for a multimodal dialogue system. In this paper, we present the first neural multimodal belief tracker (NMBT) to demonstrate how multimodal evidence can facilitate semantic understanding and dialogue state tracking. Given the multimodal inputs, while applying a textual encoder to represent textual utterances, the model gives special consideration to the semantics revealed in visual modality. It learns concept level fashion semantics by delving deep into image sub-regions and integrating concept probabilities via multiple instance learning. Then in each turn, an adaptive attention mechanism learns to automatically emphasize on different evidence sources of both visual and textual modalities for more accurate dialogue state prediction. We perform extensive evaluation on a multi-turn task-oriented dialogue dataset in fashion domain and the results show that our method achieves superior performance as compared to a wide range of baselines.
The regulation of CSR by means of transparency standards

In this paper, we study the materialization of transparency in the field of CSR into private standards.The search for transparency is presented as a key driver of a sustainability policies. (Gray 1992, Milne 1996). Yet, transparency in practice – as it is materialized through standards – is far from transparency in principle. In the field of CSR, the ideal of transparency is materialized through private reporting standards such as the Global Reporting Initiative (GRI), the GreenHouse Gas Protocol (GHG Protocol), the CDP (formerly Carbon Disclosure Project), etc. In a foucaldian perspective, we propose to study such materialization process by studying the underlying rationales and practices, and the effects they produce on corporations (what does the reporting lead to? How do companies use these standards? ).
Interval to first postweaning estrus and causes for leaving the breeding herd in Large White, Landrace, Yorkshire and Chester White females after three parities.

Three hundred and five Large White (LW, 93), Landrace (L, 92), Yorkshire (Y, 69) and Chester White (CW, 51) gilts produced at the Roman L. Hruska U.S. Meat Animal Research Center over 3 yr with 15 to 41 gilts per breed group per year were housed in total confinement and mated to farrow at 1 yr of age. After 28 to 30 d lactation, piglets were weaned and all females were observed for estrus daily for 30 d. During the year that each gilt initially farrowed, she was mated to produce a second and third litter if she returned to estrus within 30 d after piglet removal. Interval from weaning (d 0) to estrus and reason for leaving the breeding herd were recorded for each animal. Interval from weaning to estrus was influenced by breed (P less than .01), parity (P less than .01) and interaction between breed and parity (P less than .01). Intervals from weaning to estrus, in first parity females which exhibited estrus, were 7.8, 6.6, 9.3 and 14.0 d for the LW, L, Y and CW breeds. Intervals for all females after the second litter were 6.8, 4.9, 8.0 and 9.1 d, and after the third litter 6.4, 5.2, 8.3 and 10.1 d for the LW, L, Y and CW breeds. Breed, parity and year (P less than .01) affected the number of females not exhibiting estrus. Percentages of females not exhibiting estrus were 6.5, 18.7, 37.7 and 23.5 for the LW, L, Y and CW breeds and 16.1, 2.3 and 2.0 for sows after the first, second and third parities. (ABSTRACT TRUNCATED AT 250 WORDS)
, AJ Challenges in implementing government-directed VTE guidance for medical patients : a mixed methods study

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