Miracle-dz/UniFAR-FTUs huggingface dataset:
Production of Liquid Milk Protein Concentrate with Antioxidant Capacity, Angiotensin Converting Enzyme Inhibitory Activity, Antibacterial Activity, and Hypoallergenic Property by Membrane Filtration and Enzymatic Modification of Proteins

Liquid milk protein concentrate with different beneficial values was prepared by membrane filtration and enzymatic modification of proteins in a sequential way. In the first step, milk protein concentrate was produced from ultra-heat-treated skimmed milk by removing milk serum as permeate. A tubular ceramic-made membrane with filtration area 5 × 10−3 m2 and pore size 5 nm, placed in a cross-flow membrane house, was adopted. Superior operational strategy in filtration process was herein: trans-membrane pressure 3 bar, retention flow rate 100 L·h−1, and implementation of a static turbulence promoter within the tubular membrane. Milk with concentrated proteins from retentate side was treated with the different concentrations of trypsin, ranging from 0.008–0.064 g·L−1 in individual batch-mode operations at temperature 40 °C for 10 min. Subsequently, inactivation of trypsin in reaction was done at a temperature of 70 °C for 30 min of incubation. Antioxidant capacity in enzyme-treated liquid milk protein concentrate was measured with the Ferric reducing ability of plasma assay. The reduction of angiotensin converting enzyme activity by enzyme-treated liquid milk protein concentrate was measured with substrate (Abz-FRK(Dnp)-P) and recombinant angiotensin converting enzyme. The antibacterial activity of enzyme-treated liquid milk protein concentrate towards Bacillus cereus and Staphylococcus aureus was tested. Antioxidant capacity, anti-angiotensin converting enzyme activity, and antibacterial activity were increased with the increase of trypsin concentration in proteolytic reaction. Immune-reactive proteins in enzyme-treated liquid milk protein concentrate were identified with clinically proved milk positive pooled human serum and peroxidase-labelled anti-human Immunoglobulin E. The reduction of allergenicity in milk protein concentrate was enzyme dose-dependent.
Timeliness Value and Free-from-error Quality of Accounting Information: A Study on Commercial Banks

This paper makes an effort to assess the timeliness value and free-from-error quality of accounting information generated by AIS through the avenue of annual reports of the selected commercial banks in Bangladesh. An opinion survey was run through a closed questionnaire- designed by using a five-point Likert scale. Based on primary data, the study reveals that the qualities of accounting information produced by AIS of commercial banks are satisfactory in terms of both timeliness and free-from-error, yet inadequate in absolute terms. Moreover, the study substantiates that there is no significant variation (homogeneity) of opinion among the respondents regarding the timeliness and accuracy of accounting information. The outcomes of the study identified that the feature of annual reports of commercial banks in Bangladesh is not up to the standard due to erratic power supply, poor communication infrastructures, the accidental entry of poor data, virus infection, unauthorized accessing, copying, printing and distributing of data or information, etc. Consequently, respective authorities are highly encouraged to come forward to ensure the maximum qualities of AIS. The study has focused on two qualitative characteristics and only on the annual report. Thus, further research is recommended to conduct focusing on others such as quarterly and interim reports, bank circulars, financial press releases, etc. to investigate the extent of additional qualities, for instance, feedback value, credible value, clarity value, etc.
Valuation of no-negative-equity guarantees with a lower reflecting barrier

If the general level of house prices falls a long way, policymakers may introduce new policies which seek to support prices. This paper considers the effect of such interventions on the valuation of no-negative-equity guarantees (NNEG) in equity release mortgages. I model interventions by a reflecting barrier expressed as a fraction of the current level of house prices. Reflection at the barrier is instantaneous, so the no-arbitrage property is preserved, and hence risk-neutral valuation of NNEG is possible. The reflecting barrier can alternatively be justified as a representation of the different economic nature of the underlying housing (and particularly freehold land) assets in NNEG valuations, compared with the underlying equity assets in many other option valuations.
Conquering Gender Stereotype Threat in "Digit Sports": Effects of Gender Swapping on Female Players' Continuous Participation Intention in ESports

As a sportification form of human-computer interaction, eSports is facing great gender stereotype threat and causing female players’ withdraw. This study aims to investigate the relationship between gender-swapping and females’ continuous participation intention in eSports, the mediating effect of self-efficacy, and the moderating effect of discrimination. The results demonstrate (1) that the effect of gender-swapping on continuous participation intention in eSports was not significant, while gender-swapping had a significant association with self-efficacy, and self-efficacy had a significant association with continuous participation intention in eSports; (2) that gender-swapping had an indirect effect (via self-efficacy) on continuous participation intention in eSports; and (3) that discrimination moderated the effect of self-efficacy on continuous participation intention. Female players who had experienced discrimination displayed higher continuous participation intention in the context of self-efficacy enhanced by gender-swapping.
Optimization of Heat Transfer and Pressure Drop in Axially Finned Staggered Tube Banks

Abstract Numerical optimization of heat and fluid flow over staggered tube banks are investigated for both unfinned and axially finned tube banks. Ansys Fluent software is utilized for numerical computations. To find maximum total heat transfer and minimum volume of tube bank for the given mass flow rate, allowable pressure drop and tube bank effectiveness; A Multi-objective Genetic Algorithm II is used. Optimum designs are given on tabular forms and variations of total heat transfer with total volume are presented. Moreover, effects of transversal and longitudinal pitches on objective functions are graphically demonstrated. In order to confirm reliability of the numerical studies, unfinned staggered tube bank configuration is compared with experimental studies in literature. As a result of optimization studies, axial fin usage results in 42.7% decrement in volume of staggered tube bank with respect to unfinned case, while heat transfer values are equal with maximum obtainable heat transfer rate for the given optimization problem.
Social policy outcomes of government participation by radical right parties

The literature has pointed to a change in radical right-wing parties’ (RRWPs) position regarding the welfare state. Those parties have abandoned the neoliberal approach on distributive issues and have become defenders of social expenditure for deserving groups. Nevertheless, as RRWPs have joined with right-wing mainstream parties to form governments, their distributive policy position might cause conflict in a coalition. This study, therefore, addresses this puzzle by analysing the social policy outcomes of RRWPs’ government participation. The conclusion is that those parties contribute to the welfare state retrenchment. However, policies are not affected evenly. Expenditure that targets groups regarded as undeserving by the radical right is retrenched the most.
A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations

ABSTRACT Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task recommendations in e-learning systems is a very effective way to facilitate personalized vocabulary learning. One of the key research issues regarding these personalized vocabulary learning systems is how to model the learning logs of each learner. Specifically, how to measure the learning effectiveness of each learned tasks has become a core issue for establishing personalized learning systems. Three theories, Spaced Learning (SL), Technique Feature Analysis (TFA), and Involvement Load Hypothesis (ILH), are commonly applied for achieving this purpose. In this study, we compared the effectiveness of these three linguistic theories for modeling EFL learners’ personalized vocabulary learning via task recommendations. By conducting experimental studies among different groups of participants, our findings revealed that the ILH and TFA were more suitable than SL for facilitating personalized vocabulary learning. It is therefore suggested that future personalized vocabulary learning systems ought to be designed and developed based on comprehensive theoretical frameworks such as the ILH and TFA.
Effect of different feeding methods on rumen microbes in growing Chinese Tan sheep

ABSTRACT We evaluated the difference between rumen bacteria in Tan sheep fed either by grazing or in a feedlot. The aim was to provide a theoretical basis for ruminant nutrition and meat quality based on rumen fermentation. Twenty-four three-month-old Tan sheep were randomly and equally divided into two groups, the grazing group and ration group. Five sheep of each group were selected for slaughter at six months of age. Ruminal contents were collected and assessed to identify rumen bacteria, based [. ]
The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN

In current practice, broccoli heads are selectively harvested by hand. The goal of our work is to develop a robot that can selectively harvest broccoli heads, thereby reducing labor costs. An essential element of such a robot is an image‐processing algorithm that can detect broccoli heads. In this study, we developed a deep learning algorithm for this purpose, using the Mask Region‐based Convolutional Neural Network. To be applied on a robot, the algorithm must detect broccoli heads from any cultivar, meaning that it can generalize on the broccoli images. We hypothesized that our algorithm can be generalized through network simplification and data augmentation. We found that network simplification decreased the generalization performance, whereas data augmentation increased the generalization performance. In data augmentation, the geometric transformations (rotation, cropping, and scaling) led to a better image generalization than the photometric transformations (light, color, and texture). Furthermore, the algorithm was generalized on a broccoli cultivar when 5% of the training images were images of that cultivar. Our algorithm detected 229 of the 232 harvestable broccoli heads from three cultivars. We also tested our algorithm on an online broccoli data set, which our algorithm was not previously trained on. On this data set, our algorithm detected 175 of the 176 harvestable broccoli heads, proving that the algorithm was successfully generalized. Finally, we performed a cost‐benefit analysis for a robot equipped with our algorithm. We concluded that the robot was more profitable than the human harvest and that our algorithm provided a sufficient basis for robot commercialization.
Experimental Stark Widths and Shifts for Non-Hydrogenic Spectral Lines of Ionized Atoms (A Critical Review and Tabulation of Selected Data),

Abstract : A critical review of all available data on the Stark widths and shifts for lines of non-hydrogenic ionized spectra has been carried out. The relevant literature compiled by the NBS Data Center on Atomic Line Shapes and Shifts was critically evaluated, and from this evaluation 54 papers were found to satisfy all requirements and thus selected for this review. The most important factors determining the quality of plasma sources, diagnostic techniques, and line profile and shift determinations are discussed in detail in the first part of this review. In the second part the data tables containing the selected experimental Stark broadening parameters are presented. The data are arranged according to spectra and elements, and these are presented in alphabetical order. The accuracy of the experimental data is estimated on the basis of guidelines developed during the review, and comparisons with theoretical results are made whenever possible. (Author)
Profitability and profit persistence in EU food retailing: Differences between top competitors and fringe firms

We investigate the drivers and persistence of profits in EU food retailing by focusing on differences between “ top competitors ” and fringe food retailers using a sample of 12,786 firms from France, Spain, and Sweden between 2006 and 2014. We detect a high degree of profit persistence in food retailing, presumably caused by strong bargaining power towards processors. Moreover, we find that profit persistence is higher for “ top competitors ” such as members of Top ‐ 5 chains regarding sales and that independent/spe-cialized supermarkets generate lower profitability. The results provide insights regarding power imbalances in food retailing and thus support the development of managerial strategies as well as measures to enhance market efficiency.
Dijital Oyunlardan Yararlanma Ölçeği (Döyo): Geçerlik ve Güvenirlik Çalışması

Bu calismanin amaci ogretmenlerin dijital oyunlardan yararlanmalarina iliskin tutumlarinin tespit edilebilmesi icin bir olcek gelistirmektir. Calismada hem nitel hem de nicel veri toplama yontemleri kullanilmistir. Alanyazini incelemesinden, ogretmenlerle (Sosyal Bilgiler, Turkce, Matematik, Fen Bilimleri ve Sinif Ogretmenleri gibi) ve konuyla ilgili calismalari olan akademisyenlerle yapilan gorusmelerden sonra 27 maddeli 5'li Likert tipi bir olcek hazirlanmistir. Hem dil hem de alan uzmanlarinin gorusleri dogrultusunda iki madde taslaktan cikartilarak 25 maddelik nihai olcek formu hazir hale getirilmistir. Baslangicta 15 ogretmene on uygulama yapildi. Ogretmenlerin olumlu gorusleri dogrultusunda olcegin son hali 03.03. 2020 tarihinden itibaren cesitli yollarla (Google forms, e-mail, WhatsApp, yuz yuze…) farkli branslarda gorev yapan ve arastirmaya gonullu olarak katilmak isteyen 261 ogretmene ulastirilmistir. 8 ogretmenin olcekte bazi maddelere eksik yanit verdigi tespit edilmis, geriye kalan 253 form Acimlayici Faktor Analizi (AFA) yapmak icin SPSS.20 programina aktarilmistir. AFA sonucunda uygun olmayan 8 madde olcekten cikarilmistir. 17 madde ile yapilan AFA sonucunda olcegin KMO degerinin 0,50’nin (KMO=0.898, p<0.00) ustunde oldugu ve olcegin ozdegeri 1,00’den buyuk toplam varyansin yaklasik % 69,481’ini aciklayan 4 faktorlu bir yapiya sahip oldugu tespit edilmistir. 17 maddeye iliskin faktor yuklerinin . -474 ile . 911 arasinda degistigi, Anti-Image Korelasyon matrisinde tum degerlerin 0,50'nin ustunde oldugu, tum maddelerin toplam korelasyon degerlerinin . 30 uzerinde oldugu, ayrica t degerlerinin (p<.001) anlamli oldugu sonuclarina ulasilmistir. Dogrulayici faktor analizi ile model uyum indekslerine bakilmis. Onemli uyum indekslerinden olan X2/df (2,467≤ 3), RMSEA (0,76≤ .08), AGFI (,855 ≤ .90), NFI (905 ≤ .95), TLI (,92≤ .95) degerlerinin kabul edilebilir degerler arasinda oldugu tespit edilmistir. Olcegin guvenirlik duzeyini saptamak icin ic tutarligin bir olcutu olan, Cronbach’s Alpha (α=.916 ) degerine bakilmistir. Sonuc olarak hem AFA hem de DFA analizleri sonucunda olcegin ogretmenlerin dijital oyunlara yonelik tutumlarini olcebilen gecerli ve guvenilir bir olcme araci oldugu tespit edilmistir.
Behavior in cheating paradigms is linked to overall approval rates of crowdworkers

Published in: Journal of Behavioral Decision Making DOI: 10.1002/bdm.2195 Publication date: 2021 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Schild, C. , Lilleholt, L. , & Zettler, I. (2021). Behavior in cheating paradigms is linked to overall approval rates of crowdworkers. Journal of Behavioral Decision Making, 34(2), 157-166. https://doi.org/10.1002/bdm.2195
GIS-Modeling of Island Hopping Through the Philippines Demonstrates Trade-Offs Migrant Grey-Faced Buzzards During Oceanic Crossings

Migration can be costly with consequences that can influence population trajectories. These costs and consequences are especially heightened during over-water travels, which can be high-risk events for birds. We created spatial models to evaluate potential migratory responses of “oceanic”, island-hopping grey-faced buzzards that encounter variation in landscape parameters and weather as they move through and out of the Philippine archipelago. We constrained the modeled routes to enter the island chain at Basco and to use one of four potential exit points in the south of the country, either Balabac, Bongao, Balut Island, or Cape San Agustin. We used all possible combinations of our three external parameters (stopover sites, water crossings and wind direction) to model alternative migratory routes for each of the four exit points (n = 20 migratory routes). Modeled grey-faced buzzard routes were between 1,582 and 2,970 km. Routes overlapped over eastern and central Luzon, along a leading line created by the Sierra Madre Mountains. Routes also overlapped and suggested unavoidable over-water crossings between Mindoro and Palawan, Negros and Zamboanga del Norte, and Leyte and Surigao. Our models suggest that the optimal migratory strategy for these birds is to find the shortest route to an exit point with the greatest possible access to stopover habitats and fewest open-water crossings under wind resistance. Understanding how each of these external factors affected the geography and characteristics of the migratory routes helps us to understand the context for different migratory strategies of birds that face dangerous open-water crossings on migration.
Robust model reference adaptive control for transient performance enhancement

To circumvent the potentially poor transient response induced by nonlinear uncertain dynamics in the adaptive control system, this article proposes a new model reference adaptive control design scheme to improve its transient control response. We first construct a compensator to online extract the undesired dynamics in the online learning, which is incorporated into the reference model and control simultaneously. Then, an error feedback term is incorporated into the reference model to speed up the convergence of both the compensator and tracking error. Moreover, a new leakage term containing the estimation error is constructed and then added in the adaptive law to guarantee the convergence of both the estimation error and tracking error. To further reveal the mechanisms behind these proposed methods, a new methodology to analyze the transient error bounds based on L2‐norm and Cauchy‐Schwartz inequality is also developed. Based on the analysis results, we find that the proposed methods can effectively reduce the bound of the tracking error and thus achieve an improved transient control performance without violating the system stability even with high‐gain adaptation. In addition, the frequency‐domain analysis is resorted to show the comparative responses of different adaptive laws, which indicate that the proposed adaptive law can maintain the stability margin even with a high‐gain learning rate. A numerical example is given to demonstrate improved control responses of these proposed schemes.
Social Networks and Climate Change Policy Preferences: Structural Location and Policy Actor Support for Fossil Fuel Production

Abstract Contrary to what is needed for reducing global GHG emissions, successive Canadian governments have placed fossil fuel production at the core of national economic development. This presents a puzzle: how should we understand contradictory political commitments to the Paris agreement and low carbon energy futures, on one hand, and the persistence of support for fossil fuel centered energy futures, on the other hand. Using a policy network perspective, we ask: Is the location of actors within a climate change policy network associated with their position on curtailing the Alberta oil sands development? Results show that actors’ social network positions are associated with their support for curtailing oil sands development. This network association persists even when the sectoral affiliation and climate change beliefs of actors are statistically controlled. Our results demonstrate that policy network analysis helps explain the persistence of the contradictory politics of fossil fuel development and support for decarbonization.
Methane and carbon dioxide emissions and grazed forage intake from pregnant beef heifers previously classified for residual feed intake under drylot conditions

Abstract: The objectives of this study were to quantify the effect of post-weaning residual feed intake (RFI) on subsequent grazed forage intake, methane (CH4), and carbon dioxide (CO2) emissions. Beef heifers classified for RFI adjusted for off-test backfat (RFIfat; 55 high and 56 low) at 9 mo of age were monitored 7 mo later for CH4 and CO2 emissions using the GreenFeed Emissions Monitoring system. About 56 of these heifers were also monitored as high and low RFIfat groups using open-path Fourier-transform infrared spectroscopy (OP-FTIR). Heifers were dosed with 1 kg of C32-labelled pellets once daily for 15 d, with twice daily fecal sampling the last 8 d to determine individual grazed forage intake using the n-alkane method. Low RFIfat pregnant heifers consumed less forage (10.25 vs. 10.81 kg dry matter d−1; P < 0.001), and emitted less daily CH4 (238.7 vs. 250.7 g d−1; P = 0.009) and CO2 (7578 vs. 8041 g d−1; P < 0.001) compared with high RFIfat animals. Results from the OP-FTIR further confirmed that low RFIfat heifers emitted 6.3% less (g d−1; P = 0.006) CH4 compared with their high RFIfat cohorts. Thus, selection for low RFIfat will decrease daily CH4 and CO2 emissions from beef cattle.
The Association of Non-Steroidal Anti-Inflammatory Drugs with COVID-19 Severity and Mortality

Background: No specific study has investigated the effect of non-steroidal anti inflammatory drugs (NSAIDs) and especially the effects of Ibuprofen on COVID-19, so far. Objectives: The purpose of this study was to investigate the effect of Ibuprofen on the severity of COVID-19 and mortality caused by the disease. Methods: This study was conducted on 158 patients with COVID-19 who had consumed Ibuprofen, Gelofen, and Novafen for at least one week in the last three months. Patients were divided into three groups (mild, moderate and sever). The relationship among the severity of the disease and the history of ibuprofen consumption, diabetes, history of cardiovascular problems, hypertension, and GFR was investigated. Also, the association between the history of ibuprofen consumption, GFR ≤ 60 mL/min, hypertension, LDH ≥ 500 U/L, lymphocyte count ≤ 1500, and mortality was examined. Results: Our findings showed a significant relationship between the history of Ibuprofen before COVID-19 and the severity of COVID-19, as well as the mortality rate (P value < 0.001, adjusted odd ratio: 2, respectively). This study also showed a significant relationship among the severity of the disease and the history of smoking, diabetes, hypertension, history of cardiovascular diseases, and GFR. In addition, a significant relationship was found among GFR ≤ 60 mL/min mortality, diabetes, LDH ≥ 500 U/L, and lymphocyte count ≤ 1500. Conclusions: Our study showed a significant relationship between the history of the consumption of ibuprofen and its compounds before COVID-19 and the severity of COVID-19, as well as the mortality rate of the patients with this disease, and accordingly, this result can suggest health policies during the epidemic of COVID-19.