Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimisation of yogurt mousse dairy protein levels: a rheological, sensory, and microstructural study

The present work aimed to optimise the skimmed milk powder (SMP) and whey protein concentrate (WPC) levels in order to obtain the best yogurt mousse in terms of rheological, sensory, and microstructural properties by using the response surface methodology. The methods consisted of rheological tests (large and small deformations), sensory profiles, particle size distributions, and differential interference contrast microscopy. The factors were SMP (5.3 - 10.7%) and WPC (2 - 4%), and the responses of the central composite design were the rheological parameters. A non-fermented mousse was employed as a standard. The results indicated that both SMP and WPC had positive and significant influence over the storage, loss, elastic moduli, and over the creep viscosity of yogurt mousses. A formulation containing 10.7% SMP and 2% WPC presented similar rheological and sensory characteristics to the standard mousse. There were microstructural differences between the optimal and standard samples, thus suggesting that the fermentation process influences the microstructure and texture of the product. We suggest more studies related to the variation of other nutrients ( i.e., fat and sugar) of this product in order to fully understand its rheological, sensory, and microstructural behaviour.
The Role Of Dividend Policy And Management Ownership In Moderating Free Cash Flow And Interest Rate On Firm Value

Firm value in the manufacturing industry for the 2013-2018 period shows the average value of fluctuations as a result of stock price uncertainty. The purpose of this study is to investigate that firm value during the study period fluctuated, so that researchers were motivated to conduct studies on these various issues. The variables used to detect the firm value are free cash flow and interest rates. This study also examines the role of dividend policy and managerial ownership in moderating the effect of free cash flow, interest rates on firm value. The companies studied are manufacturing industries listed on the Indonesia Stock Exchange for the period 2013 – 2018. This research method is explanatory research. Samples were taken based on purposive sampling from the manufacturing industry population that met the sample criteria. This study concludes that interest rates have a significant positive effect on firm value and managerial ownership moderates positively significantly on the relationship between interest rates and firm value. Free cash flow has the potential to cause company failure, causing a decrease in firm value. Managerial ownership moderates the relationship between free cash flow and firm value in a significant positive manner, while dividend policy moderates negatively and insignificantly on the relationship between free cash flow and firm value.
Architecture of the nuclear pore inner ring complex

The nuclear pore complex (NPC) constitutes the sole gateway for bidirectional nucleocytoplasmic transport. We present the reconstitution and interdisciplinary analyses of the ~425-kDa inner ring complex (IRC), which forms the central transport channel and diffusion barrier of the NPC, revealing its interaction network and equimolar stoichiometry. The Nsp1•Nup49•Nup57 channel nucleoporin hetero-trimer (CNT) attaches to the IRC solely through the adaptor nucleoporin Nic96. The CNT•Nic96 structure reveals that Nic96 functions as an assembly sensor that recognizes the three dimensional architecture of the CNT, thereby mediating the incorporation of a defined CNT state into the NPC. We propose that the IRC adopts a relatively rigid scaffold that recruits the CNT to primarily form the diffusion barrier of the NPC, rather than enabling channel dilation.
Re-TACRED: A New Relation Extraction Dataset

TACRED [44] is one of the largest and most widely used sentence-level relation extraction datasets. However, a recent study [2] suggested that the dataset may have substantial quality issues. In this paper, we address these concerns by: (i) comprehensively studying the whole TACRED dataset, (ii) proposing and deploying an improved crowd-sourcing strategy to re-annotate the TACRED dataset, and (iii) thoroughly analyzing how correcting TACRED affects previously published results. After re-annotation, we observe that 22 . 1% of TACRED labels are different and that models evaluated on our revised dataset achieve an average f1-score improvement of 13% . Additionally, we publicly release our revised dataset, Re-TACRED to further enable reliable evaluation of relation extraction models.
Alicia Nevriana cover cropped

Children and adolescents whose parents have mental illness (CAPRI) are a potentially vulnerable group. Previous studies showed that they are more likely to experience adverse mental health and social outcomes. However, studies investigating their physical health outcomes are scarce. Additionally, reliable estimates on the size of this group and their living conditions in contemporary Sweden is lacking. My thesis aimed to establish the prevalence of CAPRI in Sweden and to deepen our understanding of their physical health and living conditions. Five individual studies were conducted using linkage from various Swedish national registers. One of the studies was also conducted using data from English registers. In Study I, we estimated the prevalence of children and adolescents up to age 18 with parental mental illness in Sweden and determined the associations with various socioeconomic adversity. We found that around 9.5% of children had at least one parent with mental illness diagnosed within secondary care. The prevalence increased throughout the age and calendar year. These children were also more likely to experience a range of socioeconomic adversity, including having unemployed parents, being in a household that received social welfare benefits, or a household with the lowest income quintile. In Study II, we determined the associations between parental mental illness and the risk of childhood injury. We found that, overall, CAPRI had a higher risk of injuries compared to children without parental mental illness, especially during the first years of life. The increase in risk was slightly higher for children exposed to maternal, compared to paternal mental illness, and for rarer types of injuries (e.g., violence-related injuries) compared to more common types of injuries, such as falls. All types of parental mental illness were associated with higher risk, although the risk increase was slightly higher for more common mental disorders (e.g., depression and anxiety) compared to more serious mental illness (e.g., psychosis). In Study III, we determined the associations between parental mental illness and the risk of autoimmune diseases among the children. Parental mental illness was associated with a slight increase in the risk of autoimmune diseases in the offspring. However, the detailed picture was slightly more complicated. The highest risk was observed for type 1 diabetes among children exposed to maternal eating disorders. Additionally, exposure to parental common mental disorders was associated with a higher risk of juvenile arthritis, psoriasis, and type 1 diabetes. On the other hand, exposure to maternal psychosis and paternal alcohol/drug misuse was associated with a lower risk of coeliac disease and inflammatory bowel disease,
Preliminary attempts to rear larvae of the Iranian honeybee ( Apis mellifera meda ) colony and effect of different factors on graft acceptance in honeybee colonies in Karaj apiary

The aim of this study was to determine effect of different factors on the acceptance rates of grafted larvae by using the prepared queen cell cups in Karaj apiary and if there is difference of larvae acceptance after grafting one day old larvae in artificial wax queen cells that were for one hour prior to grafting in starter colonies for polishing and artificial wax queen cells that weren't in contact with bees. A brood frame rotation schedule maintains the colony as a queen rearer for further batches of queen cells. Three factors viz. bee strength/crowdiness, queenliness of the colony and priming status of queen cell cups were evaluated on graft acceptance. The combined effect of the different levels of bee strength, queenliness and priming status of cell cups was non - significant on the mean number of accepted grafts (8.20 - 44.17 i.e. 7.85 - 50.18%). Quality of bee queens depends primarily on the age of the brood used for queen rearing.
The Eﬀects of Fuel Subsidies on Air Quality: Evidence from the Iranian Subsidy Reform ∗

Gasoline taxes have been touted by many economists as an eﬃcient and relatively simple tool to address environmental concerns and other problems associated with gasoline consumption. Nevertheless, rather than removing subsidies and increasing gasoline taxes, many countries still subsidize gasoline, which may have the opposite eﬀect of exacerbating air pollution. As a result of its large energy subsidies and artiﬁcially low national energy prices, Iran is one of the most energy-intensive countries in the world. Iran’s capital city, Tehran, is also amongst the most polluted cities in the world. The Iranian government has recently taken a series of measures to reform and cut back on its energy subsidies. In this paper, we evaluate the eﬀects of the Iranian subsidy reform on air quality using a regression discontinuity design. Our results provide evidence across multiple diﬀerent empirical speciﬁcations that the subsidy reform in Iran, particularly subsidy reforms that both increased energy prices and restricted gasoline consumption, led to improvements in air quality. In contrast, subsidy reforms that increased fuel prices but did not also restrict gasoline consumption were less eﬀective in reducing air pollution.
Analysis of failures in state-of-the-art Person ReID models

Humans can reliably ﬁnd a person through a crowd but computer programs often fail. Even with the help of deep learning, person re-identiﬁcation (ReID) networks can fail. Studies on reasons for failure have been few. This is because these networks have high dimensional complexity [1]. The lack of understanding limits our ability to improve the ReID networks. This study developed and implemented a real-time person ReID system. The systems were tested to determine the boundary conditions between success and failure. Paths to failure in state-of-the-art deep learning ReID models were analyzed. Findings open up the possibility of future improvements. We implemented and optimized a real-time ReID system as part of larger screening systems. The systems were tested and deployed at border control points, speciﬁcally the Hong Kong International Airport. Test results indicated a discrepancy between the measured accuracy of a model on the training data and on-site performance in real settings. The issue identiﬁed was occlusion. This chapter details the implementation of a person ReID system as a part of a person screening system that has been tested under simulated crowd behavior cases. It also details the challenges with such a system and the steps that were taken to optimize the system.
Hybridization of Fuzzy C-Means with Bacterial Colony Optimization

— Fuzzy clustering is a challenging task in data mining techniques. Fuzzy C-Means (FCM) clustering algorithm is applied to solve clustering problem. The present paper is proposed new hybrid fuzzy clustering algorithm which is combined with FCM and Fuzzy Bacterial Colony Optimization called as HFCA(Hybridization of Fuzzy clustering algorithm). The experimental results are shows that the proposed new hybrid fuzzy clustering algorithm obtained high clustering efficiency compared with FCM and FBCO.
C/EBPβ regulates hypertrophic versus hyperplastic fat tissue growth

Chronic obesity is correlated with severe metabolic and cardiovascular diseases as well as with an increased risk for developing cancers. Obesity is usually characterized by fat accumulation in enlarged - hypertrophic – adipocytes that are a source of inflammatory mediators, which is seen as causal for developing metabolic disorders. Yet, in certain healthy obese individuals fat is stored in metabolically more favorable hyperplastic fat tissue that contains an increased number of smaller adipocytes that are less inflamed. In a previous study we demonstrated that C/EBPβ-LIP deficient, yet C/EBPβ-LAP proficient mice show an expanded health and lifespan. Here we show that in mice on a high-fat diet LIP-deficiency results in adipocyte hyperplasia as well as efficient fat storage in subcutaneous depots associated with metabolic and inflammatory improvements. Our data identify C/EBPβ as a regulator of adipocyte fate in response to increased fat intake, which has major implications for metabolic health and aging.
Simulation of ladle degassing in steel making process

A multi-phase-species (steel/gas/slag and dissolved elements such as, Al, O, and S) mathematical model based on the fundamental transport equations has been developed. This model was used to study the refining of steel in a ladle, in particular desulphurisation. In this approach, a Computational Fluid Dynamics (CFD) analysis was used to predict the flow pattern of the gas-stirred ladle system. The thermodynamic analysis package MTDATA from the National Physical Laboratory (NPL) was linked to the CFD model to predict the mass transaction at the steel/slag interface during the refining process. A successful linkage between the Fluent (CFD) package and the MTDATA thermodynamics package has been achieved using a Visual Basic 6.0 environment. The predictions have been compared to data from the literature and a good agreement has been found. In this present work, the capability o f the model to predict the desulphurisation rate under various operational conditions has been demonstrated. The slag viscosity has been predicted using the NPL slag viscosity model and this has been successfully implemented. Therefore, it is possible to study the influence of the slag system composition variation during the refining process. Also, it will be possible to extend the present model to study other types of steelmaking processes involving slag-metal reactions. In this present work, the influence on the desulphurization rate of allowing the Ca++ mobility and the CaS precipitation in the molten slag (slag system CaO-ALC^-SiCV MgO) was examined.
Stock price booms from technology news in a HANK model with portfolio choice

Research Area B, Inequality and the business cycle , studies to what extent inequality aﬀects business cycle dynamics, making use of the groups’ expertise in heterogeneous agent modeling. Established in 2018, Research Training Group 2281 promotes independent economic analysis on the macroeconomics of inequality. The discussion papers in circulation are written by the doctoral students and/or the principal investigators of the group. The research leading to these ﬁndings is supported by the German Research Foundation (DFG). The discussion papers have not been peer-reviewed. They are works in progress with the purpose of garnering attention and collecting comments for further analysis. Citations should reﬂect this fact and include the discussion paper number as its unique identiﬁer. Any opinions or policy views expressed are those of the author(s) and not those of the DFG. ABSTRACT News shocks about higher future capital returns can explain stock price-booms and subsequent -busts in a two-asset, heterogeneous agent New Keynesian model. Households form rational expectations. The portfolio choice between liquid assets (like stocks) and illiquid capital is key, as it allows for a time-varying liquidity premium. Upon the news, capital-rich households accept to hold more illiquid capital at a lower premium, in anticipation of higher future returns on it. This increases their consumption risk, and causes stock prices to rise. After the boom, capital-rich households trade capital for liquid assets in order to self-insure against idiosyncratic income shocks, which increases the liquidity premium, and causes stock prices to fall. A policy that raises inﬂation during the anticipation phase hampers the investment-driven boom, since it causes income-losses for those households with the highest marginal propensity to invest. Abstract. News shocks about higher future capital returns can explain stock price-booms and subsequent -busts in a two-asset, heterogeneous agent New Keynesian model. Households form rational expectations. The portfolio choice between liquid assets (like stocks) and illiquid capital is key, as it allows for a time-varying liquidity premium. Upon the news, capital-rich households accept to hold more illiquid capital at a lower premium, in anticipation of higher future returns on it. This increases their consumption risk, and causes stock prices to rise. After the boom, capital-rich households trade capital for liquid assets in order to self-insure against idiosyncratic income shocks, which increases the liquidity premium, and causes stock prices to fall. A policy that raises inﬂation during the anticipation phase hampers the investment-driven boom, since it causes income-losses for those households with the highest marginal propensity to invest.
Possibilities of Low Cost GPS Technology for Precise Geodetic Applications

The Global Positioning System (GPS) is used for many purposes in surveying and geodesy like cadastral surveys, engineering surveys or intercontinental coordinate frames. In general geodetic two-frequency GPS receivers are used for most of these applications. Despite the reduction of expenses for these geodetic GPS receivers frequently the costs are too high for surveyors in developing countries. Consequently investigations regarding the possibilities of low cost GPS receivers are worthwhile. The authors will present a procedure to determine precise coordinates by GPS using commercial low cost GPS receivers. These receivers like the Garmin eTrex Vista use phasesmoothed code for positioning. The phase and the code data of the receivers are transferred to a notebook in real-time due to the lack of memory within the used receivers. The stored RINEX file is post-processed using the SKI-Pro software of LEICA thereafter. Within the paper the post-processing of baselines from 100 m up to 8 km is presented. The maximum three-dimensional deviation of the estimated coordinates of the reference coordinates is 8 cm for 30 minutes observation period, if strong multipath is avoided.
Lymphocyte Phenotyping and HLA-DR Expression over the Course of COVID-19 Infection in Patients with Different Disease Severity.

BACKGROUND The role of lymphocyte subsets in the diagnosis and follow up of COVID-19 is still unclear. So, we aim to study the changes in lymphocyte subsets and HLA-DR expression in the peripheral blood of hospitalized COVID-19 patients. METHODS Lymphocyte subsets and HLA-DR expression were detected in the peripheral blood of 36 hospitalized patients of COVID-19; their data were compared to that of 36 healthy controls of comparable age and gender. RESULTS Total lymphocytes, the percentage of CD3 T, CD4 T and CD8 T cells significantly decreased, while that of CD 56 cells significantly increased in SARS-CoV-2 infected patients. The expression of HLA-DR is down regulated in these cells. Neutrophil/lymphocyte ratio, neutrophil/CD3 ratio, neutrophil/CD4 ratio, and neutrophil/CD8 ratio are significantly increased in patients compared with controls. The absolute count of CD3, CD4, CD8 and CD19 cells, significantly decreased in SARS-CoV-2 infected patients. CONCLUSIONS A marked reduction in CD8+T and CD4+T count together with HLA-DR cell expression with obvious impairment in cellular immunity has been detected in patients with more severe impairment and progressive course for the disease.
BIOVALENTIA: Potential Active Compounds of Mango Parasite Dendrophthoe pentandra (L). Miq as an antifungal

The Mango parasite is a parasitic plant that is very detrimental to mango plant owners but has the potential as a producer of secondary metabolites which are expected to inhibit the growth of the fungus Candida albicans. This study aimed to obtain antifungal activity fractions, to obtain pure compound eluates which were active as antifungals, to determine the class of compounds active as antifungals, and to determine the Minimum Inhibitory Concentration (MIC) against the fungus C. albicans. Based on the research that has been done, the fractions that are active as antifungals are the n-hexane and ethyl acetate fractions. The results of purification of the n-hexane and ethyl acetate fractions using gravity column chromatography showed the presence of two pure n-hexane compounds that were active in inhibiting C. albicans, namely N-1 and N4 eluates with inhibition zone diameters of 12 mm and 10 mm, respectively. Purification of the ethyl acetate fraction produced two active compounds, namely eluate E-1 and eluate E-5 which were able to inhibit C. albicans by 10 mm and 12 mm, respectively. The MIC values for N-1, N4, and E-1 eluates were able to inhibit at a concentration of 500 ppm and were classified as quite strong. The E-5 eluate capable of inhibiting at a concentration of 1000 ppm is classified as weak. Tests for the class of compounds using Thin Layer Chromatography (TLC) and the R  value of the biautography results showed the color spots on the N-1 eluate (R  : 0.9) were blue in the terpenoid group, on the N-4 eluate (R  : 0.6) Alkaloid group is orange in color, the E-1 eluate (R  : 0.8) is yellow in the Phenolic group, the E-5 eluate (R  : 0.9) is
Evaluation of standard methods for collecting and processing fuel moisture samples

A variety of techniques for collecting and processing samples to determine moisture content of wildland fuels in support of fire management activities were evaluated. The effects of using a chainsaw or handsaw to collect samples of largediameter wood, containers for storing and transporting collected samples, and quick-response ovens for estimating moisture content were evaluated against the ASTM standard method D4442 to determine the moisture content of wood. Saw type and most sample containers did not influence the moisture content; however, polyethylene bags lost moisture owing to poor seal or perforation, making them unsuitable for storing fuel for processing. Generally, most of the quick-response oven tests indicated that drying fuels at higher temperatures than the ASTM standard method provided comparable results.
Repeated partial splenic artery embolization for hypersplenism improves platelet count

Abstract Splenic embolization is a minimally invasive alternative to splenectomy for the treatment of hypersplenism. This was a retrospective study of 101 patients with hypersplenism caused by cirrhosis who were treated with splenic embolization and for whom 6 months of follow-up data were available. Of these patients, 65 underwent partial splenic artery embolization (PSE), including 23 who underwent repeated PSE (RPSE). The incidence of abdominal pain was significantly higher in the PSE group than in the total splenic artery embolization (TSE) group (P < 0.001), and its duration was also longer in the PSE group (P = 0.003). Biochemical markers of liver function were compared before and after the operation; aminotransferase indices decreased (alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase), total bilirubin increased slightly, and albumin and prealbumin decreased after the operation (all P < 0.001). Platelet (PLT) counts began to increase at 1 week postoperatively, peaked at 1 month postoperatively, and then decreased gradually. There was no significant intergroup (PSE and TSE) difference at any time point (1 day, 1 week, 1 month, and 6 months postoperatively, P > 0.05). There was a significant intergroup (PSE and RPSE) difference in the mean postoperative change in PLT count (P = 0.45). Splenic embolization can improve the inflammatory indicators of liver function. Performing PSE twice or more improves the PLT counts.