Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiscal Nowcasting

Government budget balance data are only available at quarterly frequency and their release is particularly delayed coming, in general, later than national quarterly accounts. However, cash monthly data on the government borrowing requirement are published by o cial sources with a very limited delay. Though very timely, due to a di erent accounting methodology compared to the one for assessing the budget balance, monthly cash ows are a noisy indicator of the budget balance. This paper proposes a Bayesian Mixed Frequency VAR model aimed at extracting information on the budget balance while, at the same time, discounting the noisy content of monthly cashows. The proposed model allows to produce a monthly forecast of the annual budget balance, while forecasts from the government and o cial institutions are generally released only annually or bi-annually. An application based on Italian data shows that our parsimonious VAR model is characterized by a good forecasting accuracy, also in comparison with institutional forecasts such as the European Commission's one. JEL Classi cation: C11, E62, H68.
Angiogenic factors and evaluation of vascular status in preeclampsia

Şerif Aksin1, Numan Çim2, Hanım Güler Şahin3, Deniz Balsak4 1 Department of Obstetrics and Gynecology, Siirt University Faculty of Medicine, Siirt 2 Department of Obstetrics and Gynecology, Istanbul Bilim University Faculty of Medicine, Istanbul 3 Department of Obstetrics and Gynecology, Yuzuncu Yıl University Faculty of Medicine, Van 4Department of Obstetrics and Gynecology, Batı Hospital, Diyarbakır, Turkey Preeclampsia vascular evaluation Angiogenic factors and evaluation of vascular status in preeclampsia
X-ray diffraction and theoretical study of the transition 2 H-3 R polytypes in Nb 1 + x Se 2 ( 0 < x < 0 . 1 )

Single crystals of 2H and 3R niobium diselenide were grown by a chemical transport reaction. The current determinations by single crystals X-ray diffraction reveal a nonstoichiometric composition. The structures are built from Se—Nb—Se slabs with Nb in trigonal prismatic coordination whereas the extra or additional Nb atoms are located in the octahedral holes between the slabs giving rise to the formula 2H and 3R-Nb1+xSe2 with 0.07 < x < 0.118. In particular, vacancy and Nb-Nb interactions may play an important role on the non-stoichiometry and the stacking mode in NbSe2. By increasing the number of additional Nb atoms in the pure 2H-NbSe2, a transition 2H to 3R polytype should occur in order to minimize the Nblayer—Nbextra—Nblayer repulsions between these adjacent slabs. The theoretical study shows that both 2H and 3R-Nb1+xSe2 are thermodynamically stable in the range 0 < x < 0.1. Subjects Crystallography, Theoretical and Computational Chemistry, Transition Metal Chemistry
Assessment of dietary iodine intake for females of childbearing age from Amman, Jordan

Introduction: Jordan has one of the highest prevalence rates of hypothyroidism, and this condition is more prevalent in women and especially pregnant women. Iodine insufficiency during fetal development and childhood is associated with cognitive disturbances. The aim of this research study is to measure the daily consumption of dietary iodine in females of childbearing age in Amman City and determine how this consumption relates to sociodemographic characteristics. Subjects and Methods: A nonrandomized, crosssectional study was carried out in 802 females. The inclusion criteria were healthy pregnant and nonpregnant females of reproductive age from 18 to 45 years old living in Amman. Females with any chronic disease were excluded from the study. Iodine intake and sociodemographic characteristic were measured by validated questionnaires. Results: Optimum iodine adequacy was detected in only 9.6% of participants. The highest average dietary iodine intake (g/d) was from milk (36.4±36.5), followed by ANALYSIS 24(105), September October, 2020 Medical Science ISSN 2321–7359 EISSN 2321–7367
Varieties of market milk and consumers perception – A review

As a natural product,cow´s milk is traditionally consumed for its high nutritional value. Its product quality can be influenced only by different farming practices, food technologies, or selection of breed. Any other manipulation of milk such as the use of additives is not permitted. Since producers always aim to point out special characteristics of their product, consumers are confronted with recently implemented namesof milk such as Haymilk, Meadow milk, Demeter milk or A2 milk. Consumers often negatively perceive terms connected with food technology (e.g. homogenization), whilst sustainability in connection with animal husbandry and farming practices is generally positively connoted.Dairy industry increasingly uses sustainability data e.g. minimized carbon and water footprints as marketing strategies. This information either is placeddirectly on the product or is provided on the company homepage.This review provides an overview of current varieties of cow’smilk in terms of production and consumers perception and discusses the real differences in milk quality.
Analytical computation of the power spectral density for unimolecular stochastic reaction networks

Stochastic reaction networks model noisy intracellular processes, like geneexpression, where randomness typically arises due to low copy-numbers of the constituent biomolecular species. The frequency spectrum of each single-cell stochastic trajectory generated by such models contains valuable information about the network architecture and the reaction parameters. In this talk we demonstrate how this frequency spectrum can be analytically computed for any unimolecular reaction network under mass-action kinetics. We provide analytical expressions for the power spectral density (PSD) for simple three-node feedforward and feedback topologies in terms of the model parameters. Moreover we establish structural results that highlight the key differences between the PSD generated by these topologies irrespective of the model parameters.
HOUSING TRENDS AND AFFORDABILITY

Affordability erodes mildly in fourth quarter Red-hot home resale activity and strong price rises across Canada made it more difficult to own a home for a typical household in the fourth quarter of 2009; however, concerns that housing affordability would come off the rails did not materialize. RBC’s affordability measures generally eroded only modestly in the closing months of 2009. At the national level, the measures increased between 0.1 and 0.3 percentage points, depending on the housing type (a rise in the measure represents a deterioration in affordability). These fairly small increases contrasted with much larger ones registered in the third quarter, when a rise in mortgage rates exacerbated the effect of strong housing price increases. Except for detached bungalows, the pace of price appreciation was steady or moderated slightly in the fourth quarter of 2009. The effect on affordability was further tempered by a small decline in mortgage rates and continued gains in household income.
Voice Assistant Personalities for Health Information Seeking

As voice assistants become increasingly popular, attention has been drawn to their personalities and their impact on trust and likeability. While it has been found that assistant personalities that matched their users in personality were more trusted and liked in an automotive context, other assistive situations have yet remained unexplored. This study investigates how the personality of a voice assistant impacts user’s perceptions of trust and attractiveness in the context of seeking general health information. A voice assistant prototype, consisting of two different assistant personalities, was designed and tested via a Wizard-of-Oz method. We found that personality did not have an impact on trust and system attractiveness in this context, and that instead of affective cues, users paid more attention to cognitive cues in assessing the voice assistant. Our work holds important lessons for designing voice assistants.
Opting life-saving measures to younger or the elder in the critical care centre amid covid pandemic crisis: the ethical and legal dilemma

The dreadful pandemic of Covid-19 has wrecked the worldwide population. Furthermore, the pandemic has initiated an unprecedented admission of ailing cases in the Intensive Care Unit (ICU) or Critical Care Centre (CCC), raising various ethical conflict relating to the Triage, removing life-saving supports and providing end-of-life care. Besides, the moral and ethical quandary has also increased manifold while communicating with patients and family members, including informed consent and informed refusal to the suggested treatment procedures. The acknowledgement of massive acute respiratory distress syndrome (ARDS) cases in serious form surprisingly surpassing the bed availability at the CCC in most parts of several countries. Due to this fact, four novel choices never used before were well-thought-out with the primary objective in reduction of fatality of the cases as much as possible, viz., (i) to line up the maximum number of bed at CCC for cases with the excellent outcome; (ii) to raise the number of economic bed at CCC; (iii) to arrange to shift to distant centres with more beds availability and (iv) reduction of ICU stay and the removal of life-saving measures. The hospital visit by the family members was also banned to save them from the infection. Thus, India has taken unprecedented and stern preventive measures against Covid-19 to control its spread to protect its citizens. However, as a prime component of the healthcare system, the treating physicians face a substantial legal and ethical dilemma while dealing with many patient’s influxes at the CCC worldwide. EDITORIAL
FPGA based digital space vector controller of voltage source inverter

Introduction Pulse width modulation (PWM) is one of the switching techniques widely used to control the output of the inverter especially to overcome to the harmonics problem. It is known that unwanted frequency components can be moved to a higher frequency region by PWM method. Conventional method of generating PWM signal is achieved by using ratio of a high frequency carrier signal and fundamental frequency signal generated via analogue circuit. Advancement in the digital technology enables PWM switching schemes to be generated by means of digital controller (i.e. using microcontrollers). Through this technique, the harmonics content of the output voltage can be minimized and reduced significantly by simply adjusting the switching angles of the pulses using the programming language [1]. Recently, developments in power electronics and semiconductor technology have lead improvements in power electronic systems. Hence, different circuit configurations namely multilevel inverters have become popular and considerable interest are given on them by researchers. Variable voltage and frequency supply to ac drives is invariably obtained from a three-phase voltage source inverter. A number of PWM schemes are used to obtain variable voltage and frequency supply. The most widely used PWM schemes for three-phase voltage source inverters are carrierbased sinusoidal PWM and space vector PWM (SVPWM). There is an increasing trend of using SVPWM because of their easier digital realization and better dc bus utilization [2]. Iimplementation of SVPWM by using the FPGA has been proposed by some researchers [3-5]. In [4] a resource efficient SVPWM algorithm is proposed which reduces computational overheads and solves the problem of high sampling time in real time applications. The proposed algorithm uses only adders, subtractors, comparators, shifters, etc to be implemented using FPGA’s and takes less number of resources and execution time than conventional algorithm. In [5] a simple realization of 5segment discontinuous SVPWM with a difference approach based on FPGA, has been presented in which the judging of sectors and the calculation of the firing time to generate the SVPWM waveform is simple, and also the switching losses is low. This paper focuses on development and realization a digital SVPWM on FPGA board with optimized digital circuits. In Section II, the model of a three phase voltage source inverter is discussed based on space vector theory. Section III presents the proposed implementation of SVPWM algorithm on FPGA with comparison of proposed implementation with some of the previous works.
From Matrix Factorization To Deep Neural Networks: The Evolution Of Collaborative Filtering Solutions for Recommendation Systems

Recommendation systems are technologies and techniques that can provide recommendations for items to be of use to a user. The recommendations provided are aimed at supporting their users in various decision-making processes, such as what products to purchase, what music to listen, or what routes to take. Correspondingly, various techniques for recommendation generation have been proposed and deployed in commercial environments. The goal of this independent study is to impose a degree of order upon this diversity by presenting a coherent and unified repository of the most common recommendation methods to solve the collaborative filtering problem: from classic matrix factorization to cutting-edge deep neural networks.
Thermomechanical behaviour of FCC↔HCP martensitic transformation in CoNi

Thermomechanical behaviour of the FCC↔HCP martensitic transformation in a Co-32wt%Ni single crystal was investigated. The measurement was carried out both by isothermal deformation testing and by heating and cooling under constant load. It was found that the alloy was capable of extensive tensile deformation. Under constant loads, FCC↔HCP martensitic transformation can be induced on cooling, whereas on heating the reverse transformation from HCP to FCC was induced. This is due to the multiplicity of the reverse transformation, which permits martensite to be further deformed in the direction of the external stress to austenite. This behaviour provides a unique case of a negative dependence of the critical transformation temperature on stress, in contrast to conventional thermal shape memory alloys.
Effect of hydrophobic modification of hydroxypropyl methylcellulose on silicone oil emulsions

ABSTRACT To study the effect of hydrophobic modification of the emulsifier on the relationship between emulsion stability and polymer emulsifier concentration, silicone oil emulsions were prepared using hydroxypropyl methylcellulose (original HPMC) and HPMC stearoxy ether (hydrophobic HPMC) at concentrations around their overlap concentrations. Both HPMC types completely emulsified the silicone oil. However, the volume fraction of silicone oil in the emulsion prepared using hydrophobic HPMC was less than that that by the original HPMC, and the average oil droplet size in the former emulsion was less than that in the latter emulsion. Increasing HPMC concentration led to increase in both the amount of adsorbed polymer emulsifier and the storage moduli in the linear region, irrespective of which HPMC was used. Stress-strain sweep curves obtained by a rheo-optical method showed that emulsions stabilized by the hydrophobic HPMC flowed slowly, even beyond the yield stress, whereas emulsions prepared using the original HPMC flowed quickly beyond the yield stress. The storage moduli of the emulsions prepared by the hydrophobic HPMC were larger than those prepared using the original HPMC. GRAPHICAL ABSTRACT
Artificial Evolution: creativity and the possible

In this paper the aims and goals of artificial evolution are discussed in relation to two of the founding features of Alife: how to characterize the domain of the possible and the criterion of lifelikeness. lt is argued that artificial evolution should aim to understand the evolution of organizations and that this will bring about a better understanding of possible evolutions.
Sepsis Markers at PICU and the Utility of Serum Neopterin

Background:Septicemia is a potential clinical status which is a result of irresistible sickness or a inflammatory process secondary to infection or injury. Clinical management of septicemia requires brief research facility finding and plan of successful patient administration techniques that might incorporate antimicrobial chemotherapy. Despite the fact that the accessible biomarkers of septicemia, for example, CRP, procalcitonin has ended up being helpful, their disadvantages is elevation in non-septic conditions like injury, surgery, and different conditions like systemic inflammatory reaction disorder (SIRS), and insusceptible reaction amid septic conditions. Considering the way that septicemia because of contamination is microbiologically affirmed just in 30% of the cases, it is inescapable that there is requirement for different markers of septicemia. Neopterin is one of biochemical markers of immune activity, which seems to be useful in monitoring inflammatory diseases. Increased concentration of neopterin in serum is observed in conditions with involvement of cell mediated immune response. Investigations on critically ill patients on intensive care units evaluated neopterin levels as tool to discriminate patients with systemic inflammatory response syndrome with and without infectious etiology. Neopterin levels were found to have a specificity of 78% for discriminating infectious and noninfectious etiology of critical illness
THE INFLUENCE OF CAREER DEVELOPMENT AND COMPENSATION ON THE EMPLOYEE PERFORMANCE

The purpose of this study was to analyze the effect of career development, compensation, on employee performance. The research was conducted at a medical device company located in Jakarta, with 47 employees as respondents. Collecting data using interviews and questionnaires, and the data analysis technique used is multiple linear regression. The results showed that career development had a positive and significant effect on employee performance. These results indicate that the better the company's career development system, the higher the employee's performance will be. Compensation also has a positive and significant effect on employee performance. The results of this study indicate that the better the compensation system implemented by the company as well as career development, the higher the employee's performance. The practical implication of the results of this study is that companies that expect highperforming employees must implement a good compensation system supported by good, fair and transparent career development.
Scalable full-transcript coverage single cell RNA sequencing with Smart-seq3xpress

Plate-based single-cell RNA-sequencing methods with full-transcript coverage typically excel at sensitivity but are more costly and time-consuming. Here, we miniaturized and streamlined the Smart-seq3 protocol for drastically reduced cost and increased throughput. Applying Smart-seq3xpress to 16,349 human peripheral blood mononuclear cells revealed a highly granular atlas complete with both common and rare cell types whose identification previously relied on additional protein measurements or the integration with a reference atlas.
PAVFuzz: State-Sensitive Fuzz Testing of Protocols in Autonomous Vehicles

The rapid development of in-vehicle networks and protocols brings efficient communication service but also increases the risk of attack. Any vulnerability may be leveraged to cause serious consequences. It is of vital importance to guarantee their security. However, the vulnerability detection efficiency of traditional techniques such as fuzzing is challenged by the complex relations among protocol states.In this paper, we propose PAVFuzz, a state-sensitive fuzz testing framework to secure those protocols used in autonomous vehicles. It automatically learns relations between two data elements in different protocol states. The relations will then be used to calculate and update the mutation weight of each data element continuously. Accordingly, PAVFuzz is able to select the target data elements and perform state-sensitive mutation to boost the efficiency. Experiments show that, compared with state-of-the-art fuzzers Peach and AFL, PAVFuzz increases branch coverage by averagely 22.51% and 369.19% within 24 hours. It has successfully exposed 12 serious previously unknown vulnerabilities among several protocols that are widely used in autonomous vehicles, such as RTPS and SOME/IP. We have reported them to the developers and corresponding patches have been released.
Palm fiber as potential material for FADs: durability enhancement and increasing fish catching for small scale fisheries

Fish aggregating devices (FADs) have brought impact on the fish catching productivity and preciseness of fishing ground. Traditional fisherman is using coconut frond and areca frond for shallow water FADs and it have been increasing cost maintenance of FADs, due to durability of natural attractor like coconut frond and areca frond tend to lower. Therefore, the research aims to determine the influence of different natural attractors of the FADs (i.e., areca frond, coconut frond and palm fiber) to impact the fish catching around the shallow water FADs. Pyramid model was used for attractors of FADs. Data were collected by experimental method, i.e., experimental fishing every two weeks until the fronds (attractors) totally rotted using hand lines (January-May 2019). The location of research is Nagan Raya Waters, Aceh Province (Hindia Ocean). One-way analysis of variance (ANOVA) was conducted to assess differences in the treatment value, namely natural attractors in the FADs for the fish catching number (significant level at 95%). The results showed that the different of natural attractors of the FADs were affected to fish catching around the FADs. Meanwhile, palm fiber attractor is better than to aggregate of fish around FADs, but these has not given significantly different for total catch of fish (p>0.05). Therefore, to maximize fish catch around shallow water FADs and to minimize of maintenance cost for FAD are suggested to using palm fiber attractors. This finding is very important to help traditional FADs fishery in maximizing production of fish and to increasing profit of small scale fisheries.
Land carbon-concentration and carbon-climate feedbacks are significantly reduced by nitrogen and phosphorus limitation

We quantify the impact of nutrient (nitrogen and phosphorus) limitation on land carbon uptake and the sensitivity of this uptake to atmospheric carbon dioxide (CO2) concentrations (land carbon-concentration feedback) and surface air temperature (land-carbon climate feedback). We analyse simulations of the Australian Earth System Model (ACCESS-ESM1.5) with a prescribed 1% yr−1 CO2 increase in three different configurations: (1) without nutrient limitation, (2) with nitrogen limitation only and (3) with nitrogen and phosphorus limitation combined. Our results suggest a reduction in land carbon uptake and feedback strength of about 30% by including nitrogen limitation only. This reduction agrees well with the ensemble mean of models with and without nitrogen limitation from the sixth Coupled Model Intercomparison Project (CMIP6). By adding phosphorus limitation to our model, the response is even stronger with a further 50% reduction for the carbon-concentration feedback and a further 75% reduction for the carbon-climate feedback. We find that the feedback strength in all three nutrient configurations is mostly determined by vegetation productivity (i.e. Net Primary Production) with little contribution from soil heterotrophic respiration. Our simulations show that nutrient limitation has the largest impact in the northern mid latitudes (around 50∘), reducing land carbon uptake by about 50% when accounting for nitrogen and phosphorus limitation combined. The strong response of land carbon uptake and feedback strength to nutrients in our model simulations underlines the importance of including both nitrogen and phosphorus limitation in other Earth System Models in order to derive better estimates of future land carbon uptake and to assess the effectiveness of land-based carbon mitigation.