Miracle-dz/UniFAR-FTUs huggingface dataset:
Some Factors Associated with Ovarian Disorders of Dairy Cattle in Northern Vietnam

This research’s objectives were to assess the risk factors associated with ovarian disorders in dairy cattle in Hanoi Capital, Ha Nam Province, Vinh Phuc Province, and Moc Chau District in Son La Province. The ovarian diseases were evaluated by rectal palpation combined with information collected based on the questionnaire and surveys. Records of feeding management and ovarian disorders were comprising of persistent corpus luteum (PCL), cystic ovarian disease (COD), inactive ovary (IO) from 818 females, including heifers and cows from the first to the eighth parities. A multinomial logistic regression procedure in SAS9.0 was applied for data analysis. The results have shown that the changes of region, age classes, housing condition, and body condition scores were associated with the odds of suffering from dairy cattle’s ovarian disorder categories. The cows got the odds of suffering from PCL in the old age or fatter condition, and IO at the younger or angular cows. When cattle were confined in simple houses or laid on rubber bedding, they suffered from IO, but they tended to get the odds of suffering from PCL when the cattle were raised in modern houses or laid on concrete bedding. In conclusion, region, parity, body condition score, housing type, and bedding material affect ovarian disorders in dairy cattle in northern Vietnam.
Making Wearables in Aid: Digital Bodies, Data and Gifts 1

This is an initial exploration of an emergent type of humanitarian goods – wearables for tracking and protecting the health, safety and nutrition of aid recipients. Examining the constitutive process of ‘ humanitarian wearables ’ , the article reflects on the ambiguous position of digital humanitarian goods developed at the interface of emergency response contexts, the digitisation of beneficiary bodies and the rise of data and private-sector involvement in humanitarian aid. The article offers a set of contextual framings: first, it describes the proliferation and capabilities of various tracking devices across societal domains; second, it gives a brief account of the history of wristbands in refugee management and child nutrition; third, an inventory is given of prototype products and their proposed uses in aid. It is argued that what needs to be understood is that, in ‘ the making ’ of humanitarian wearables, the product is the data produced by digitised beneficiary bodies, not the wearables themselves.
Quality Assurance and Safety of Crops & Foods

Fourteen edible flowers used in cooking were investigated in order to obtain quantitative information on the phytochemicals content and mineral composition. Additionally, the antioxidant capacity was also evaluated by employing 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,2-azino-bis3-ethylbenzothiazoline-6-sulfonic acid (ABTS) methods. These analyses were performed in extracts prepared from flowers and vegetative parts and the results showed that contents of total phenolics, ortho-diphenols and flavonoids were high in flower extracts. Results also revealed considerable variation among the fourteen edible flowers extracts in total phenols (9.89-79.78 mg gallic acid equivalent/g of dry weight), orthodiphenols (14.90-238.61 mg gallic acid equivalent/g of dry weight) and flavonoids (2.62-56.86 mg catechin equivalents/g of dry weight). Correlation analysis indicated a moderately positive correlation between antioxidant activity and the contents of phenolic and ortho-diphenol compounds. In addition, the results of this study also showed that all edible flowers are major sources of mineral elements, especially potassium, magnesium, calcium, and sodium with an average concentration of 5,861, 542.0, 274.2 and 218.0 mg/100 g of dry weigh, respectively. Flowers also contain appreciable amounts of essential trace metals, such as zinc, selenium and manganese. Data obtained confirmed that edible flowers are good sources of minerals and phytochemicals, namely antioxidants, therefore their inclusion in cooking can provide health benefits.
Identifying patients presenting in pain to the adult emergency department: A binary classification task and description of prevalence.

Background Accurate, reliable and efficient measures of pain related presentations are essential to evaluate and improve pain care in the ED. Estimates of pain prevalence on arrival to the emergency department (ED) vary depending on the methods used. Artificial intelligence (AI) approaches are likely to be the future for identifying patients in pain from electronic health records (EHR). However, we need a robust method to identify these patients before this can occur. This study aims to identify patients presenting in pain to the ED using binary classification and to describe the population, treatment and outcomes. Methods This study employs a cross sectional design using retrospective data routinely collected in the EHR at a single ED. A random sample of 10 000 patients was selected for inclusion over three years. Triage nursing assessment underwent binary classification by three expert clinicians. The prevalence of pain on arrival is the primary outcome. Patients with pain were compared to those without pain on arrival regarding demographics, treatment and outcomes. Results The prevalence of pain on arrival was 55.2% (95%CI 54.2%, 56.2%). Patients who presented in pain differed from those without pain in terms of age, country of birth, socioeconomic status, mode of arrival, urgency and discharge destination. The median time to first analgesic medication was 65min (IQR 38, 114 min), and 45.6% (95% CI 44.3%, 46.9%) of patients arriving in pain received analgesic medication. Conclusions The prevalence of pain on arrival compares well with previously reported figures using similar methods. Differences in the cohort presenting in pain compared to the population may represent differences in the prevalence or be an extension of previous bias seen in the documentation of pain. This work has set a rigorous methodology for identifying patients presenting with pain from the EHR. It will form the basis for future applications of AI to identify patients presenting in pain to the ED.
Molecular Cloning, cDNA Structure, and Regulation of the Regulatory Subunit of Type I1 CAMP-dependent Protein Kinase from Rat Ovarian Granulosa Cells*

One isoform of the regulatory subunit type I1 CAMP-dependent and its electrophoretic variants (R-I161.S and R-IIS2; M, = 51,500 and 52,000, respectively) are selectively induced by estradiol and follicle-stimulating hormone (CAMP) in rat ovarian granulosa cells. To ascertain the amino acid sequence of R-IIel and to gain insight into the molecular events regulating the intracellular content of ovarian follicular R-IIal, we constructed a Xgtll cDNA expression library from poly(A)+ RNA of hor-mone-primed rat granulosa cells. A 1.5-kilobase (kb) cDNA insert, isolated from a plaque-purified R-I1 antibody positive bacteriophage clone, selectively bound R-IIel mRNA as demonstrated by analysis of the hy-brid-selected translation product. Restriction maps and sequence analyses of the 1.5-kb cDNA insert and of
Research Paper: Developing and Examining the Psychometrics of Single-word Quick Repetition Test for Speech Sound Production in Persian-speaking Children

Objectives: The present study aimed to develop and validate a quick repetition test using familiar and culture-based words for assessing Persian-speaking children with Speech Sound Disorders (SSDs). Methods: The study sample was divided into two groups, including 419 participants without any clinical signs of speech impairment and 36 cases with SSD. The psychometric properties of the single word quick repetition test, including reliability (inter-rater and test-retest reliability) and validity (construct, discriminant, convergent, clinical and concurrent validity) were examined. Moreover, the descriptive data for children without SSD were reported. Results: The obtained test-retest and inter-rater reliability data were satisfactory with Intraclass correlation coefficient (ICC): >0.7. There was a positive correlation between the results of the quick repetition test and phonetic test, indicating the scale’s acceptable convergence validity. Using inflated beta-binomial regression, statistically significant improvement in test score was found with age (discriminant validity). Comparing the correct responses of the control and case groups (clinical validity) revealed a significant difference in responses between the study groups. Results of Bland–Altman plot suggested an acceptable agreement between quick repetition test and phonetic test (construct validity). Discussion: The Persian quick repetition test is a valid and reliable instrument facilitating the screening of speech sound abilities in 3-8-year-olds. Moreover, this test’s conciseness makes it easily applicable in clinical practice and epidemiologic investigations. Establishing descriptive data from a large sample facilitated comparing children’s speech ability to the speech development standards.
Creating Customer Loyalty Through Service Quality for Airbnb Services: The Case of Izmir

: Room sharing platforms such as Airbnb are widely used by visitors all around the world and there are many studies examining the different aspects of these services. However, the relationships among such dimensions in this sector as service quality (SQ), customer satisfaction (CS), trust, and loyalty (CL) have not been studied together yet. This research focuses on investigating the customer loyalty through service quality in Airbnb services. A survey based on the questionnaire as research tool was carried out for this purpose and the data were obtained from the visitors who used Airbnb services during their visits in Izmir province. These data were analyzed through confirmatory factor analysis by using structural equation modeling (SEM). The findings show that there is a positive relationship between customer loyalty and service quality, satisfaction, and trust, representing consistence with the previous findings in the literature. The results show that room sharing platforms will be able to comprehend and handle guest expectations by providing better service quality that will later create customer loyalty.
Enhancing the Thermal Stability of Avidin INTRODUCTION OF DISULFIDE BRIDGES BETWEEN SUBUNIT INTERFACES*

In this study we showed that tetrameric chicken avidin can be stabilized by introducing intermonomeric disulfide bridges between its subunits. These covalent bonds had no major effects on the biotin binding properties of the respective mutants. Moreover, one of the mutants (Avd-ccci) maintained its tetrameric integrity even in denaturing conditions. The new avidin forms Avd-ci and Avd-ccci, which have native 3 denatured transition midpoints ( T m ) of 98.6 and 94.7 °C, respec-tively, in the absence of biotin, will find use in applications where extreme stability or minimal leakage of subunits is required. Furthermore, we showed that the intramonomeric disulfide bridges found in the wild-type avidin affect its stability. The mutant Avd-nc, in which this bridge was removed, had a lower T m in the absence of biotin than the wild-type avidin but showed compa-rable stability in the presence of biotin. Chicken avidin and bacterial streptavidin are widely utilized proteins in many life science applications ranging from purification techniques to modern diagnostics and targeted drug delivery. This methodology, known as (strept)avidin-biotin technology, relies on the extremely tight and specific affinity ( K
School performance and social behavior in adolescents Desempenho escolar e comportamentos sociais em adolescentes

Lemos 1  ABSTRACT Purpose: To analyze the association between school performance, age, gender, economic classification and social behaviors – strengths and difficulties – according to the Strengths and Difficulties Questionnaire - SDQ-Por, of students enrolled in junior high school. Methods: The sample consisted of 124 adolescents of both genders, enrolled in junior high school, aged between 11 and 14 years of age. All students answered the Participant Characterization Questionnaire and the – SDQ-Por questionnaire and their parents or guardians answered the Brazil Economic Classification Criteria (CCEB). The school performance analysis was determined by simple arithmetic average of the final grades obtained by the students. The instruments used for data collection in this study were available through online forms in Google Forms. Descriptive and bivariate data analyzes were performed. Results: Most participants presented adequate results regarding the analysis of the total SDQ score, which refers to the difficulties and the analysis of pro-social behavior. Regarding school performance, most of the participants presented very good or excellent results as well as an association with age, gender and school year of the students. Conclusion: Female students, 11 years old, performed better and adolescents with larger behavioral difficulties were in the lowest category in the
<inline-formula><tex-math notation="LaTeX">$d$</tex-math><alternatives><mml:math><mml:mi>d</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq1-2948338.gif"/></alternatives></inline-formula>-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics

Big Data processing systems (e.g., Spark) have a number of resource configuration parameters, such as memory size, CPU allocation, and the number of running nodes. Regular users and even expert administrators struggle to understand the mutual relation between different parameter configurations and the overall performance of the system. In this paper, we address this challenge by proposing a performance prediction framework, called <inline-formula><tex-math notation="LaTeX">$d$</tex-math><alternatives><mml:math><mml:mi>d</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq2-2948338.gif"/></alternatives></inline-formula>-Simplexed, to build performance models with varied configurable parameters on Spark. We take inspiration from the field of Computational Geometry to construct a <inline-formula><tex-math notation="LaTeX">$d$</tex-math><alternatives><mml:math><mml:mi>d</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq3-2948338.gif"/></alternatives></inline-formula>-dimensional mesh using Delaunay Triangulation over a selected set of features. From this mesh, we predict execution time for various feature configurations. To minimize the time and resources in building a bootstrap model with a large number of configuration values, we propose an adaptive sampling technique to allow us to collect as few training points as required. Our evaluation on a cluster of computers using WordCount, PageRank, Kmeans, and Join workloads in HiBench benchmarking suites shows that we can achieve less than 5 percent error rate for estimation accuracy by sampling less than 1 percent of data.
Modeling and optimization of magnetostrictive actuator amplified by compliant mechanism

Magnetostrictive actuators are commonly used in precision engineering with the advantages of high resolution and fast response. Their limited strokes are always amplified by compliant mechanisms without wear and backlash. This paper proposes a hybrid model for the actuation system considering the coupling of the actuator and the amplifier. The magnetostrictive model, based on the Jiles–Atherton model, is related to the input stiffness of the amplifier when quantifying the magneto-mechanical effects, including stress-dependent magnetization, stress-dependent magnetostriction and ΔE effect. The compliant mechanism model aims at constructing the flexibility matrix with the amplification ratio and input stiffness related to the spring factor of the load. The deformation and structural stress of the amplifier are also dependent on the output strain of magnetostrictive material. Experiments under both free load and spring load conditions have been done to verify the effectiveness of the hybrid model. The proposed model is suitable for parameter optimization and the performance indicators can be precisely quantified. Optimization based on hybrid model is more preferred than optimizing the actuator and amplifier independently for maximum output displacement. Furthermore, ‘stiffness match principle’ is no longer applicable when considering ΔE effect, and the optimal external stiffness problem can be numerically solved by the hybrid model for maximum output energy of magnetostrictive material.
Effects of a strobilurin-based spray programme on disease control, green leaf area, yield and development of fungicide-resistance in Mycosphaerella graminicola in Northern Ireland

The effects of a range of strobilurin fungicides in programmes with the demethylation-inhibiting (DMI), epoxiconazole, or with chlorothalonil, were assessed in ﬁeld experiments in Northern Ireland in 2004 and 2005 using the winter wheat cultivars Robigus and Savannah, partially resistant and moderately susceptible, respectively, to septoria tritici blotch. The development of strobilurin resistance was quantiﬁed using substitution of glycine by alanine in the target cytochrome b as a marker (G143A). Addition of strobilurins to epoxiconazole did not signiﬁcantly reduce disease, increase green leaf area (GLA) or increase yield compared with epoxiconazole alone. However, azoxystrobin alone, despite failing to control disease or increase GLA, did increase yield compared with the untreated control. A mixture of azoxystrobin and chlorothalonil gave a signiﬁcantly higher yield than either azoxystrobin or chlorothalonil alone. Higher frequencies of the strobilurin resistant allele (A143) were always selected for by treatments that included a strobilurin compared with those without. Frequencies of resistance were higher at the end of 2004 than at the start and there was a further increase in 2005. Field surveys of commercial winter wheat crops in 2004 and 2005 conﬁrmed this trend of increasing strobilurin resistance in Mycosphaerella graminicola .
Longitudinal-torsional Composite Mode Exponential Ultrasonic Horns with Large Amplitude

In this paper,the ultrasonic exponential horns in longitudinal and torsional composite vibrational modes are studied By analyzing the propagation characteristics of the longitudinal and torsional vibrations in the ultrasonic exponential horns and choosing the decay constant of the cross sectional area of the ultrasonic exponential solid horns,the condition at which the longitudinal and torsional vibrations at the same resonance frequency is given Experiments show that the calculated resonance frequencies of the horns are in good agreement with the measured results,and the resonance frequency of the longitudinal vibration in the horn is almost the same as that of the torsional vibration in the same exponential horn This kind of longitudinal torsional composite mode ultrasonic exponential horn can be used in ultrasonic techniques such as ultrasonic machining which requires very large mechanical displacements
Expression of Ethylene Response Factor Genes during Fresh-cut Lotus Root Storage and Browning

A BSTRACT . Ethylene response factor ( ERF ) genes have been characterized in numerous plants in which they are involved in responses to biotic and abiotic stress, including cold and heat stress. Cool temperatures is one of the most effective storage methods for delaying browning of fresh-cut lotus ( Nelumbo nucifera ) root. In model plants, ERF genes have been identiﬁed as being responsive to cold and heat stress. Whether ERF is associated with lotus root browning in cooler temperatures has not been studied. In this research, low-temperature storage (4 8 C) effectively delayed browning of fresh-cut lotus root. Using RNA sequencing, seven Nelumbo nucifera ERF ( NnERF ) genes were isolated and studied. Transcriptional analysis indicated NnERF genes responded differently to temperature. NnERF3/4/5 were reduced continuously by a low temperature (4 8 C) and NnERF5 was the most strongly downregulated. In contrast, transcripts of NnERF1/2/7 were increased at a low temperature (4 8 C). The expression of NnERF6 showed no obvious difference between the two different temperatures. It is proposed that NnERF3/4/5 could be important candidates as regulators of fresh-cut lotus root browning. The roles of other members are also discussed.
NBER WORKING PAPER SERIES ARBITRATION WITH UNINFORMED CONSUMERS

This paper studies the impact of the arbitrator selection process on consumer outcomes. Using data from consumer arbitration cases in the securities industry over the past two decades, where we observe detailed information on case characteristics, the randomly generated list of potential arbitrators presented to both parties, the selected arbitrator, and case outcomes, we establish several motivating facts. These facts suggest that firms hold an informational advantage over consumers in selecting arbitrators, resulting in industry-friendly arbitration outcomes. We then develop and calibrate a quantitative model of arbitrator selection in which firms hold an informational advantage in selecting arbitrators. Arbitrators, who are compensated only if chosen, compete with each other to be selected. The model allows us to decompose the firms’ advantage into two components: the advantage of choosing pro-industry arbitrators from a given pool, and the equilibrium pro-industry tilt in the arbitration pool that arises because of arbitrator competition. Selecting arbitrators without the input of firms and consumers would increase consumer awards by $60,000 on average relative to the current system. Forty percent of this effect arises because the pool of arbitrators skews pro-industry due to competition. Even an informed consumer cannot avoid this pro-industry equilibrium effect. Counterfactuals suggest that redesigning the arbitrator selection mechanism for the benefit of consumers hinges on whether consumers are informed. Policies intended to benefit consumers, such as increasing arbitrator compensation or giving parties more choice would benefit informed consumers but hurt the uninformed. Mark L. Egan Harvard Business School Baker Library 365 Soldiers Field Boston, MA 02163 and NBER megan@hbs.edu Gregor Matvos Kellogg School of Management Northwestern University 2211 Campus Drive Global Hub 4361 Evanston IL, 60208 and NBER gregor.matvos@kellogg.northwestern. edu Amit Seru Stanford Graduate School of Business Stanford University 655 Knight Way and NBER aseru@stanford.edu
What determines the inclusion in a sustainability stock index? A panel data analysis for European firms

This paper empirically examines the determinants of the inclusion of European firms in the Dow Jones Sustainability World Index and the Dow Jones Stoxx Sustainability Index. While a restricted econometric analysis implies a positive effect of corporate financial performance, this impact becomes ambiguous in more flexible panel probit models. Our estimation results therefore strengthen the importance of the use of panel data and the incorporation of unobserved heterogeneity. Furthermore, our analysis shows that the sustainability assessment and selection process for the composition of the Dow Jones sustainability indexes and thus factors that need not necessarily be directly connected to corporate environmental or social activities also have an influence.