Miracle-dz/UniFAR-FTUs huggingface dataset:
Impartiality and accuracy as a case in point while interpreting in a refugee context

Abstract This paper examines the fundamentals of professionalism focusing on the code of ethics as a pivotal parameter. Attention is paid to the difficulties of implementing two of the core principles of codes of ethics for interpreting in a refugee context: impartiality and accuracy. The aim of this article is to explore interpreters’ appreciation of these principles and self-identification with them versus actual observance in refugee settings. Ninety-six US-based interpreters completed a survey on self-perceptions regarding adherence to the principles and real actions performed. Findings show that a high number of interpreters do not comply with the principles despite having previously declared their full endorsement and self-identification with them. Impartiality presented more deviations than accuracy. Internal and external demands have proven to be stronger than adherence to the code. Calls to rethink and refine codes of ethics for interpreting in a refugee context are also presented.
B2B social media content: engagement on LinkedIn

Purpose This paper aims to identify content strategies on social media that influence engagement and to analyze those operations to describe important features for co-creation and trust. Design/methodology/approach This paper addresses the question of how social media content can influence engagement by using a medium-sized Swedish company for an empirical case study. This empirical study is based on a participatory action research methodology. By using the company account on LinkedIn, the authors experimented with relational content to understand the effects on customer-perceived value and trust. Findings Results reveal that action-oriented messages had a more significant impact on engagement than product-oriented messages and value-based messages. Originality/value This paper builds on the existing literature in two ways: drawing upon business-to-business relationships and perceived value and using recent advances in the use of social networking sites to understand the value of co-creation through a participatory culture.
Relationship between body condition and energy mobilization in rabbit does

The present work was performed to examine the relationships between measures of body condition and energy mobilization in rabbit does. The variables studied were body weight (BW), perirenal fat thickness (PFT), basal non-esterified fatty acid concentration (NEFA b ) and non-esterified fatty acids after lipolysis stimulation by isoproterenol (NEFA r ). The effect of time of measuring (at mating, delivery and 10 d after delivery) was estimated in 157 primiparous does. Correlations between body condition components were estimated and a principal component analysis performed. The does decreased BW (6%) and PFT (3%), and increased NEFA b (25%) and NEFA r (16%) from mating to delivery. Later, NEFA b and NEFA r decreased around 20% from delivery to 10 d after delivery without changing perirenal fat thickness. All BW and PFT lay in the first principal component, and all NEFA traits lay in the second component, showing low correlations with body condition measurements. Both NEFA traits showed high positive correlations when measured at the same time (0.65, 0.72 and 0.69), but low correlations when measured at different times (0.09, to 0.20). We conclude that although body weight and perirenal fat thickness are good predictors of body condition, NEFA should be used when an accurate measurement of energetic mobilization is needed, due to their low correlation.
Oceanological and Hydrobiological Studies

Comparative significance and synchronicity of morphological and photosynthetic adjustments of Potamogeton perfoliatus to shorespecific environments were examined on plants growing at the maximum depth of colonisation of the northern and southern shores of Lake Balaton. The shore-specific environments did not affect photophysiological parameters: the photosynthesis of plants on both shores was high, coupled with low respiration and compensation irradiances. In contrast, morphological and habitual differences between the shores were significant: plants of the shady, northern shore had lighter, but larger leaves, and longer internodes concentrated in the apex of the plants. Thus, photophysiological variability of Potamogeton does not follow its morphological differentiation.
Hidden Inefficiency: Strategic Inflation of Project Schedules

Establishing realistic project plans and completing the resulting business projects on schedule is crucial for organizations striving to effectively utilize their resources. However, incentivizing on-time project delivery may introduce moral hazard, as people may respond to estimation accuracy incentives by strategically inflating project duration estimates and subsequently prolonging the project execution. While the project is delivered on time, the resources are underutilized. We conjecture that these perverse effects can be mitigated by introducing incentives to complete the project as soon as possible (speed incentives) in addition to the schedule accuracy incentives. We conduct a diagnostic test of the effect of accuracy and speed incentives on the process of project estimation and delivery. Our study presents direct empirical evidence that the incentive structure rewarding solely the estimation accuracy can result in hidden inefficiency due to inflated estimates and deliberately prolonged project execution. However, when speed incentives are implemented alongside estimation accuracy incentives, the estimates are significantly lower and the project is completed more quickly, without compromising the schedule accuracy. Aligning the objectives of a project owner with those of planners, by incentivizing the planners for both estimation accuracy and quick project completion, can therefore foster more compressed but still accurate and reliable project schedules and accelerated project delivery. In summary, our study contributes to the economic analysis of incentive structures in project management by identifying a hidden inefficiency that could be present in projects delivered “on time” and by pointing out a mechanism that mitigates the risk of moral hazard.
Age and Sequence of Emergence of Permanent Teeth in a Population of Costa Rican Schoolchildren

The aim of this study was to determine the average age and sequence of eruption of permanent dentition in the school population of the province of Cartago, Costa Rica. Methods: A cross-sectional observational study included children between the ages of 5 and 12 from public and private schools. Clinical examination was performed, and the presence or absence of permanent teeth recorded. Statistical analysis: An estimation of means of eruption was used through binary variables, building the probabilities of the presence of a dental piece through a logistic regression. Results: 833 children were examined: 433 (51.90%) girls and 400 (48.10%) boys. The permanent teeth erupt first in the female sex; however, this difference is not statistically significant. The maxilla eruption sequence for girls was 6-1-2-4-3-5-7 on both sides; for boys, the sequence of eruption was 6-1-2-4-5-3-7 for the right side and 6-1-2-4-3-5-7 for the left side. In the jaw, the sequence in boys was 6-12-3-4-5-7, and in girls, 1-6-2-3-4-5-7. Conclusions: For the first time, at the Central American Level, the pattern of permanent dentition eruption could be established. The age of permanent dental eruption does not vary according to sex in this population.
Do implementation contexts for the Positive Parenting Program improve child and parental well-being?

Summary While previous studies have offered insight into evidence-based practices that are effective in promoting safety and well-being, the underlying contextual implementation conditions that influence these outcomes in child welfare agencies are less understood. To address this gap, this study relied on organizational survey data collected from child welfare workers and supervisors during the process of implementing an evidence-based practice—the Positive Parenting Program—and merged those data with data gathered by the Parents' Assessment of Protective Factors survey. Findings Results showed a significant increase between baseline and termination of services in social connections and overall protective factors index scores. Parents who received services from organizations inclusive of supportive leadership experienced greater increases in social connections. Lower protective factors index scores were associated with workers’ perception that evidence-based practices were required; however, scores increased as supportive leadership increased. Parents who identified as African American experienced lower protective factors index scores compared to parents in other racial categories. Parents who were engaged with workers who felt evidence-based practices were appealing were likely to experience greater increases in protective factors index scores. Applications Intended client outcomes are more likely to be achieved when agency leaders (1) provide workers support to learn and use evidence-based practices and (2) rely on methods to increase evidence-based practice appeal rather than mandate implementation. Future research is needed to (1) understand why the implementation contexts or Positive Parenting Program itself are not as effective for African Americans as they are for oteher racial/ethnic groups and (2) validate findings in other agency contexts and with other evidence-based practices.
A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization

The assortment of products carried by a store has a crucial impact on its success. However, finding the right mix of products to attract a large portion of the customers is a challenging task. Several mathematical models have been proposed to optimize assortments. Most of them are based on discrete choice models that represent the buying behavior of the customers. Among them, rank-based choice models have been acknowledged for representing well high-dimensional product substitution effects and, therefore, reflect customer preferences in a reasonably realistic manner. In this work, we extend the concept of (strictly) fully ranked choice models to models with partial ranking that additionally allow for indifference among subsets of products, that is, on which the customer does not have a strict preference. We show that partially ranked choice models are theoretically equivalent to fully ranked choice models. We then propose an embedded column-generation procedure to efficiently estimate partially ranked choice models from historical transaction and assortment data. The subproblems involved can be efficiently solved by using a growing preference tree that represents partially ranked preferences, enabling us to learn preferences and optimize assortments for thousands of products. Computational experiments on artificially generated data and a case study on real industrial retail data suggest that our proposed methods outperform existing algorithms in terms of scalability, prediction accuracy, and quality of the obtained assortments.
Production of antibodies and development of an enzyme-linked immunosorbent assay for 17β-estradiol in milk

ABSTRACT The residue of 17β-estradiol (E2) in milk could potentially lead to the occurrence of various reproductive diseases; therefore, a rapid and sensitive method for monitoring E2 residues in milk was highly necessary. In this study, we produced new polyclonal and monoclonal antibodies using E2-3-O-carboxymethyl ether as a hapten and developed an indirect competitive enzyme-linked immunosorbent assay (icELISA) for the detection of E2 in milk. The results showed that the sensitivity of polyclonal antibody was higher than that of monoclonal antibody, providing a half maximum inhibition concentration (IC50) against E2 of 0.17 ng/mL, high cross-reactivity (CR) to E2 benzoate (150%) and oestriol (18.02%), and negligible CR with other oestrogen compounds. Under optimized conditions, the developed icELISA based on the polyclonal antibody had a limit of detection values of 0.093 μg/L, which was enough sensitive to detect E2 in milk. In spiked samples (0.5, 1, and 2 μg/L), the recoveries ranged from 83.12% to 94.58% with coefficients of variation <12.8%. These results indicated that the icELISA method we developed was suitable for screening of E2 residue in milk.
Conjugate heat transfer study of the impact of ‘thermo-swing’ coatings on internal combustion engines heat losses

To comply with the very strict emissions regulation the automotive industry is succeeding in developing ever more efficient engines, and there is scope for more improvements. In this regard, some investigations have suggested that insulating the combustion chamber walls of an internal combustion engine (ICE) yield low thermal losses. Most of the literature available on this topic presents simplified models that do not allow studying in detail the coating impact on engine efficiency. A more precise approach that consists in the combination of Computational Fluid Dynamics (CFD) and Conjugate Heat Transfer (CHT) simulations is used in this paper to predict the heat losses through the combustion chamber walls of a spark ignition (SI) engine. Two configurations are considered for the single cylinder engine: the metallic case and the same engine with coated piston and cylinder head. The insulation material has a low thermal conductivity (k < 1.0W/(mK)). The numerical results are validated by comparison with the results of a 1D heat transfer model and with experimental data for a medium load operation point (3000 rpm −7 bar IMEP). The solutions obtained are analysed in detail in terms of wall temperature distribution and heat transfer. The impact of the coating on the engine efficiency is thus assessed. The CFD-CHT calculations yields very good results in terms of heat transfer prediction during the whole engine cycle.
Rapid Generation of Leukemogenic Chromosomal Translocations in Vivo Using CRISPR/Cas9

A wide range of chromosomal rearrangements have been identified in human cancers especially in leukemia. Murine models that recapitulate chromosomal translocations are essential for understanding the determinants of malignancies and as a basis for preclinical development of rational therapeutic methods. Genetically engineered murine models involving chromosomal translocation genes have been generated using transgenic approaches or gene knockin. However, the closest model is the creation of bona fide chromosomal translocations, which recapitulate the physiologic levels of the fusion genes, the reduced dosage of the wildtype alleles and the contribution of the reciprocal products of the translocations. This has been achieved in vivo using the Cre-loxP system in embryonal stem cells, which is labor intensive and time consuming. The CRISPR/Cas9 system is a versatile tool for genomic engineering. Transduction of target cells with vectors encoding Cas9 and sgRNAs targeting two genomic loci causes two DNA double strand breaks (DSBs), which could induce chromosomal rearrangements as a result from non-homologous end joining-based DNA repair. This strategy has been used to model oncogenic chromosomal rearrangements in murine or human cells in vivo. However, given the challenges of delivering CRISPR/Cas9 vectors into hematopoietic cells, the penetrance of leukemogenesis has been shown with low frequency in vivo. Here we establish an efficient methodology to generate chromosomal translocations in mice hematopoietic cells based on a vector design enabling convenient lentiviral delivery of multiple sgRNAs to hematopoietic cells from a Cas9 expressing mouse strain. TheKMT2A(MLL)gene constitutes ahotspot for chromosomal translocations in human leukemia, resulting in over 135 different leukemia-associated KMT2A gene fusions.KMT2A-MLLT1 defines a leukemia subtype with poor outcome. This translocation frequently constitutes the sole genomic lesion to drive the
Phytochemical and biological analyses of Citharexylum spinosum

The phytochemical screening of Citharexylum spinosum L. aerial parts resulted in the presence of flavonoids, tannins, carbohydrates and/or glycosides, triterpenes and/or sterols and saponins. The percentage of hydrocarbons and sterols in C. spinosum petroleum ether extract were 99.57 and 0.3%, respectively. In petroleum ether extract, saturated fatty acids (78.76%) and unsaturated fatty acids (9.14%) were found. Chromatographic fractionation of 80% aqueous, methanol and chloroform extracts of C. spinosum resulted in isolation of 10 compounds; β-Sitosterol, β-Sitosterol 3-O-β-D-glucopyranoside, Oleanolic acid, Gallic acid, Quercetin, 6-Methoxy acacetin 7-O-β-D-glucopyranoside, Naringenin, Quercetin 3-O-α-L-rhamnopyranoside (Quercetrin), 1, 2, 6-tri-O-galloyl-β-D-glucopyranoside and Rutin. The antipyretic activity of aqueous methanolic residue using Brewer's yeast-induced pyrexia in rats was significant at dose 300 mg/kg. All tested samples had no analgesic activity. The major isolated compounds were quercetin and quercetrin, their biological activities, antimicrobial and cytotoxic activities, were determined parallel to the extracts. It was found that the aqueous methanolic residue, chloroform extract, quercetin and quercetrin exerted significant antimicrobial activity. From 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) cell proliferation assay on A2780 human ovarian cell line, quercetrin showed moderate cytotoxic activity, whereas quercetin showed significant cytotoxic activity. Key words: Citharexylum spinosum, lipoidal matter, phenolics, antipyretic, antimicrobial.
Characterization of Biomethanol–Biodiesel–Diesel Blends as Alternative Fuel for Marine Applications

The ambitious new International Maritime Organization (IMO) strategy to reduce greenhouse gas emissions from ships will shape the future path towards the decarbonization of the fleet and will bring further ecological challenges. In order to replace the larger oil-based part of marine fuel with components from renewable sources, it is necessary to develop multi-component blends. In this work, biomethanol and biodiesel with two additives—dodecanol and 2-ethylhexyl nitrate—in 20 blends with marine diesel oil (MDO) were selected as alternative components to replace the pure marine diesel oil-based part of marine fuel. For this purpose, two base blends of diesel and biodiesel with and without additives were produced with biomethanol from 0 to 30% (volume basis). Of all the blends, the blends with 5% (volume basis) methanol had the best property profile in terms of density, kinematic viscosity, calorific value, cloud point, and cetane index according to the ISO 8217:2017 standard (DMB grade) in compliance with the IMO requirements for marine fuels. However, the flash point must be increased. The boiling behavior of the blends was also investigated. A cluster analysis was used to evaluate the similarity between the blends based on their different physical properties.
Sensory Evaluation of Organic Sweetpotato Cultivars

ABSTRACT There is little published information on sensory attributes and quality indices of organically grown sweetpotato (Ipomea batatas L.) even though there is a growing demand for this product. A study was conducted to identify the best cultivars based on sensory characteristics and organoleptic acceptability of sweetpotato grown under an organic management production system. Baked samples of 14 sweetpotato cultivars were evaluated by taste panelists on a 4-point hedonic scale for color, taste, texture, and overall acceptability. The cvs. All Purple (purple fleshed), Carolina Ruby (orange fleshed), and Ginseng (orange fleshed) had the highest taste, texture, and aroma scores; the white fleshed cv. Japanese Purple was least accepted overall. The most preferred sweetpotato cultivar was associated with the descriptors pasty, umami (monosodium glutamate like), sodium, and adhesive. The purple flesh color was well liked by all panelists and rated as the top color of all cultivars. Panelist preference was toward nontraditional cultivars.
Knowledge, Attitudes and Awareness about Colorectal Cancer in the Kingdom of Saudi Arabia: A Cross Sectional Study

Background: Colorectal cancer (CRC) is the second most common cancer in Saudi Arabia, ranking first among men and third among women. Colorectal cancer can be easily prevented through CRC screening which can detect the disease during its early stages when the survival rates are high. The aim of this study was todetermine the level of knowledge, awareness and attitudes about colorectal cancer among Saudi people. Methods: A cross-sectional survey was conducted among general population of different regions of Saudi Arabia from 1st of January 2018 to 28th of February 2018. The study questionnaire, containing 25 items, was adapted from surveys identified in the relevant literature. The CRC awareness questionnaire consisted of an awareness section, knowledge section and attitude of participants toward colorectal cancer screening. The data were analyzed by descriptive statistics. Results: A total of 521 general populations answered the questionnaire. Majority of participants (82%) were bachelor’s degree holders and females represent (60%). Symptoms such as change in bowel habit, blood in the stool, weight loss and abdominal pain were recognized by only 54%, 41%, 45% and 52% of the respondents, respectively. Common risk factors such as positive family history, obesity and old age were acknowledged only by less than 34%, 29% and 33% of the respondents. More than one-third of the participants (45%) had received information material regarding CRC from their curriculum and by social media and nearly 30% from other sources such as TV, hospital and mass media. Attitude regarding colorectal screening was positive for 71%, Almost 71% of the respondents willing to have a screening test for the bowel cancer, even without any symptom. Conclusion: Although majority of the respondents had positive attitude toward concept of cancer screening but their knowledge and awareness about colorectal cancer was low which indicate the need for promotion of cancer education among public. Key words: Colorectal cancer, Saudi Arabia, Questionnaire, Awareness, Knowledge.
Spontaneous Self-Distancing Mediates the Association Between Working Memory Capacity and Emotion Regulation Success

Self-distancing is associated with adaptive emotion regulation (ER), thereby making it a common treatment target across psychotherapies. However, less is known about cognitive processes that facilitate self-distancing. Working memory capacity (WMC) has been associated with self-distancing and ER, although research has not directly examined WMC and spontaneous self-distancing activity. Here, we tested the association between WMC and self-distancing (indexed by pronoun use) in relation to ER during a negative-mood induction in college students (N = 209). Results suggested a mediation model: Higher WMC predicted lower I and greater we pronouns (i.e., greater self-distancing), which in turn predicted lower negative affect. Furthermore, higher WMC predicted greater we pronouns, which predicted higher positive affect. No significant mediation was observed for you. These findings enrich current theoretical models describing WMC and self-distancing in ER and suggest important future research to further elucidate the cognitive processes underlying self-distancing with implications for clinical practice.