Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary vitamin E could improve growth performance, lipid peroxidation and non‐specific immune responses for juvenile cobia (Rachycentron canadum)

An 8-week feeding trial was conducted to establish the dietary vitamin E requirement of juvenile cobia. The basal diet was supplemented with 10, 20, 30, 40, 60, 120 mg vitamin E kg−1 as all-rac-α-tocopheryl acetate. The results indicated that fish fed the diets supplemented vitamin E had significantly higher specific growth rate, protein efficiency ratio, feed efficiency and survival rate than those fed the basal diet. It was further observed that vitamin E concentrations in liver increased significantly when the dietary vitamin E level increased from 13.2 to 124 mg kg−1. Fish fed the basal diet had significantly higher thiobarbituric acid-reactive substances concentrations in liver than those fed the diets supplemented vitamin E. Fish fed the diets supplemented with 45.7 and 61.2 mg kg−1 vitamin E had significantly higher red blood cell and haemoglobin than those fed the basal diet, while fish fed the diets supplemented with 61.2 and 124 mg kg−1 vitamin E had higher immunoglobulin concentration than those fish fed the basal diet. Lysozyme and superoxide dismutase were significantly influenced by the dietary vitamin E level. The dietary vitamin E requirement of juvenile cobia was established based on second-order polynomial regression of weight gain and lysozyme to be 78 or 111 mg all-rac-α-tocopheryl acetate kg−1 diet, respectively.
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam

One of the most resource-intensive problems in the educational testing industry relates to ensuring that newly-developed exam questions can adequately distinguish between students of high and low ability. The current practice for obtaining this information is the costly procedure of pretesting: new items are administered to test-takers and then the items that are too easy or too difficult are discarded. This paper presents the first study towards automatic prediction of an item’s probability to “survive” pretesting (item survival), focusing on human-produced MCQs for a medical exam. Survival is modeled through a number of linguistic features and embedding types, as well as features inspired by information retrieval. The approach shows promising first results for this challenging new application and for modeling the difficulty of expert-knowledge questions.
Is Language Modeling Enough? Evaluating Effective Embedding Combinations

Universal embeddings, such as BERT or ELMo, are useful for a broad set of natural language processing tasks like text classification or sentiment analysis. Moreover, specialized embeddings also exist for tasks like topic modeling or named entity disambiguation. We study if we can complement these universal embeddings with specialized embeddings. We conduct an in-depth evaluation of nine well known natural language understanding tasks with SentEval. Also, we extend SentEval with two additional tasks to the medical domain. We present PubMedSection, a novel topic classification dataset focussed on the biomedical domain. Our comprehensive analysis covers 11 tasks and combinations of six embeddings. We report that combined embeddings outperform state of the art universal embeddings without any embedding fine-tuning. We observe that adding topic model based embeddings helps for most tasks and that differing pre-training tasks encode complementary features. Moreover, we present new state of the art results on the MPQA and SUBJ tasks in SentEval.
TIARA: A Tool for Annotating Discourse Relations and Sentence Reordering

This paper introduces TIARA, a new publicly available web-based annotation tool for discourse relations and sentence reordering. Annotation tasks such as these, which are based on relations between large textual objects, are inherently hard to visualise without either cluttering the display and/or confusing the annotators. TIARA deals with the visual complexity during the annotation process by systematically simplifying the layout, and by offering interactive visualisation, including coloured links, indentation, and dual-view. TIARA’s text view allows annotators to focus on the analysis of logical sequencing between sentences. A separate tree view allows them to review their analysis in terms of the overall discourse structure. The dual-view gives it an edge over other discourse annotation tools and makes it particularly attractive as an educational tool (e.g., for teaching students how to argue more effectively). As it is based on standard web technologies and can be easily customised to other annotation schemes, it can be easily used by anybody. Apart from the project it was originally designed for, in which hundreds of texts were annotated by three annotators, TIARA has already been adopted by a second discourse annotation study, which uses it in the teaching of argumentation.
No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru

We introduce new monolingual corpora for four indigenous and endangered languages from Peru: Shipibo-konibo, Ashaninka, Yanesha and Yine. Given the total absence of these languages in the web, the extraction and processing of texts from PDF files is relevant in a truly low-resource language scenario. Our procedure for monolingual corpus creation considers language-specific and language-agnostic steps, and focuses on educational PDF files with multilingual sentences, noisy pages and low-structured content. Through an evaluation based on language modelling and character-level perplexity on a subset of manually extracted sentences, we determine that our method allows the creation of clean corpora for the four languages, a key resource for natural language processing tasks nowadays.
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages

The Machine Translation for English Retrieval of Information in Any Language (MATERIAL) research program, sponsored by the Intelligence Advanced Research Projects Activity (IARPA), focuses on rapid development of end-to-end systems capable of retrieving foreign language speech and text documents relevant to different types of English queries that may be further restricted by domain. Those systems also provide evidence of relevance of the retrieved content in the form of English summaries. The program focuses on Less-Resourced Languages and provides its performer teams very limited amounts of annotated training data. This paper describes the corpora that were created for system development and evaluation for the six languages released by the program to date: Tagalog, Swahili, Somali, Lithuanian, Bulgarian and Pashto. The corpora include build packs to train Machine Translation and Automatic Speech Recognition systems; document sets in three text and three speech genres annotated for domain and partitioned for analysis, development and evaluation; and queries of several types together with corresponding binary relevance judgments against the entire set of documents. The paper also describes a detection metric called Actual Query Weighted Value developed by the program to evaluate end-to-end system performance.
Penicillium species in mosquitoes from two Brazilian regions

Penicillium species were isolated from 1073 adult mosquitoes and larvae of Aedes spp. , Anopheles spp. , Culex spp. and Mansonia spp. captured in the northern and southeastern regions of Brazil. In a total of 24 collections, 198 Penicillium strains were identified in 13 species: Penicillium canescens, P. chrysogenum, P. citrinum, P. corylophilum, P. decumbens, P. expansum, P. fellutanum, P. implicatum, P. janthinellum, P. oxalicum, P. purpurogenum, P. viridicatum and P. waksmanii. The total isolation frequency of the Penicillium species in the investigated mosquitoes was: Anopheles spp. (51.5%), Aedes spp. (15.1%), Culex spp. (23.7%) and Mansonia spp. (10.1%). The Penicillium species with the highest incidence in the mosquito genera were: P. corylophilum, P. janthinellum, P. fellutanum and P. waksmanii. The highest number of mosquitoes were captured in the state of Rio de Janeiro, followed by Rond? nia and Minas Gerais.
SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0

Existing machine reading comprehension models are reported to be brittle for adversarially perturbed questions when optimizing only for accuracy, which led to the creation of new reading comprehension benchmarks, such as SQuAD 2.0 which contains such type of questions. However, despite the super-human accuracy of existing models on such datasets, it is still unclear how the model predicts the answerability of the question, potentially due to the absence of a shared annotation for the explanation. To address such absence, we release SQuAD2-CR dataset, which contains annotations on unanswerable questions from the SQuAD 2.0 dataset, to enable an explanatory analysis of the model prediction. Specifically, we annotate (1) explanation on why the most plausible answer span cannot be the answer and (2) which part of the question causes unanswerability. We share intuitions and experimental results that how this dataset can be used to analyze and improve the interpretability of existing reading comprehension model behavior.
Saproxylic beetles in high stumps of spruce: Fungal flora important for determining the species composition

In most Swedish felling operations high stumps are created from living trees to increase the amounts of dead wood in the forest. The fauna of saproxylic beetles and aradid bugs (Heteroptera) in spruce (Picea abies) high stumps were studied to determine which characteristics (diameter, height, amount of bark and fungal flora) had the strongest influence on the species composition. The practical aim was to see whether it is possible to increase the biodiversity values by management recommendations. The high stumps (n=59) were situated in the middle boreal zone in Sweden and were 6 years old. The insects were sampled by sieving 0.25 m2 bark on each stump In total, 803 saproxylic beetles and Aradus bugs were found, representing 42 different species, five of which were red-listed. The most important factor for determining the beetle community was the presence or absence of two polyporous fungi, Fomitopsis pinicola and Trichaptum abietinum. Other factors were much less important, indicating that it is difficult to influence the stumps’ biodiversity values significantly simply by selecting trees of certain diameters or optimizing cutting heights.
Paraphrase Generation and Evaluation on Colloquial-Style Sentences

In this paper, we investigate paraphrase generation in the colloquial domain. We use state-of-the-art neural machine translation models trained on the Opusparcus corpus to generate paraphrases in six languages: German, English, Finnish, French, Russian, and Swedish. We perform experiments to understand how data selection and filtering for diverse paraphrase pairs affects the generated paraphrases. We compare two different model architectures, an RNN and a Transformer model, and find that the Transformer does not generally outperform the RNN. We also conduct human evaluation on five of the six languages and compare the results to the automatic evaluation metrics BLEU and the recently proposed BERTScore. The results advance our understanding of the trade-offs between the quality and novelty of generated paraphrases, affected by the data selection method. In addition, our comparison of the evaluation methods shows that while BLEU correlates well with human judgments at the corpus level, BERTScore outperforms BLEU in both corpus and sentence-level evaluation.
Summarization Corpora of Wikipedia Articles

In this paper we propose a process to extract summarization corpora from Wikipedia articles. Applied to the German language we create a corpus of 240,000 texts. We use ROUGE scores for the extraction and evaluation of our corpus. For this we provide a ROUGE metric implementation adapted to the German language. The extracted corpus is used to train three abstractive summarization models which we compare to different baselines. The resulting summaries sound natural and cover the input text very well. The corpus can be downloaded at https://github.com/domfr/GeWiki.
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language

The NAIST Lang-8 Learner Corpora (Lang-8 corpus) is one of the largest second-language learner corpora. The Lang-8 corpus is suitable as a training dataset for machine translation-based grammatical error correction systems. However, it is not suitable as an evaluation dataset because the corrected sentences sometimes include inappropriate sentences. Therefore, we created and released an evaluation corpus for correcting grammatical errors made by learners of Japanese as a Second Language (JSL). As our corpus has less noise and its annotation scheme reflects the characteristics of the dataset, it is ideal as an evaluation corpus for correcting grammatical errors in sentences written by JSL learners. In addition, we applied neural machine translation (NMT) and statistical machine translation (SMT) techniques to correct the grammar of the JSL learners’ sentences and evaluated their results using our corpus. We also compared the performance of the NMT system with that of the SMT system.
Quantitative analysis of animal-welfare outcomes in helicopter shooting: a case study with feral dromedary camels (Camelus dromedarius)

Abstract Context. Helicopter shooting is a common and effective tool for reducing overabundant wildlife populations. However, there is little quantitative information on the humaneness of the method, leading to uncertainty in wildlife-management policy. There is, subsequently, a need for an improved understanding of the welfare implications of helicopter shooting. Aim. A study was undertaken to infer the humaneness of helicopter shooting for a case study species, the feral dromedary camel (Camelus dromedarius). Methods. Seven post-mortem studies (n = 715) and one ante-mortem study (n = 192) were undertaken during routine helicopter shooting programs of free-ranging camels. In these studies, we measured four animal-welfare parameters to allow inference on the humaneness of the technique. These parameters were time to death, instantaneous death rate (proportion of animals for which time to death = 0), wounding rate and location of bullet-wound tract. We also modelled these welfare variables against hypothesised explanatory variables to assist improvement of future programs. Key results. The mean wounding rate was 0.4%, and the killing efficacy of the technique was 99.6%. Mean time to death was 4 s, and mean instantaneous death rate was 83%. Each animal displayed a mean 2.4 bullet-wound tracts, with 75%, 63% and 35% of animals shot at least once in the thorax, cranium and cervical spine, respectively. Regression analysis revealed that the identity of the shooter and the nature of the local vegetation were the most important factors associated with an animal experiencing an inferred instantaneous death or not. Conclusions. Helicopter shooting of feral camels produces a very low wounding rate and rapid time to death. Shooter identity is the most important consideration for determining animal-welfare outcomes. Improvements to the humaneness of programs can be made by increasing the rigour of shooter selection and training. Implications. Wildlife killing methods must be demonstrated to be humane to receive public support; however, few shooting methods are objectively examined. Helicopter shooting can be independently examined and operators assessed. Adoption of this examination template may allow continual improvement by industry as well as increasing societal acceptance of helicopter shooting.
Identifying patterns of retention in care and viral suppression using latent class analysis among women living with HIV in Florida 2015–2017

ABSTRACT The study objective was to classify women with newly diagnosed HIV into patterns of retention in care (≥2 HIV care visits ≥3 months apart) and viral suppression over time and identify factors associated with class membership. Florida HIV/AIDS surveillance data were used to conduct Latent Class Analysis to classify women into patterns, and multinomial regression was used to compare the prevalence of class membership by demographic and clinical factors. Four classes were selected based on model fit parameters: (Class 1) consistently retained and suppressed (>90% probability of being retained and suppressed), (Class 2) not consistently retained or suppressed (≤10% probability of being retained and suppressed), (Class 3) increasingly retained and suppressed, and (Class 4) decreasingly retained and suppressed. The proportion of women in each class was 48.6%, 24.9%, 14.3%, and 12.2%, respectively. Women aged 25–34 compared to 35–49 years old, injection drug use mode of exposure, US born, and not linked to care three months post-diagnosis had a lower prevalence of belonging to the consistently retained and suppressed class. Findings may be useful in tailoring and targeting interventions to increase the prevalence of women who are consistently retained in care and virally suppressed.
Prediction of protein composition of individual cow milk using mid-infrared spectroscopy

Abstract This study investigated the application of mid-infrared spectroscopy for the prediction of protein composition in individual milk samples (n=1,336) of Simmental cows. Protein fractions were quantified by RP-HPLC and MIR data were recorded over the spectral range from 4,000 to 900 cm-1. Models were developed by partial least squares regression using untreated spectra. The most successful predictions were for protein, casein, αS1-casein, whey protein, and β-lactoglobulin contents. The models could discriminate between high and low values of protein composition (R2=0.50 to 0.58). The root mean square errors of cross-validation were 3.11g/l for protein (range 39.91g/l), 2.76g/l for casein (range 35.16g/l), 1.07 g/l for αS1-casein (range 12.82g/l), 0.51 g/l for whey protein (range 4.97g/l), and 0.43 for β-lactoglobulin (range 4.37). Application of MIR spectroscopy is possible for the routinely assessment of protein, casein, αS1-casein, whey protein, and β-lactoglobulin and its implementation might be in future a tool for impro ving protein composition of bovine milk through breeding programs.
Mediating Effect of Internet Addiction on the Relationship Between Individualism and Cyberbullying: Cross-Sectional Questionnaire Study

Background Among a variety of dynamics that may have effects on internet-related behaviors, cultural orientation is particularly important. Previous studies suggest that individualism is a strong determinant of certain behaviors. In addition, findings suggest that vertical individualism may lead to the development of more tolerance for addiction and aggression on the internet. Objective This study aimed to investigate whether vertical individualism has significant positive effects on cyberbullying and internet addiction and whether horizontal individualism has significant negative effects on cyberbullying and internet addiction. A theoretical model was specified to test the relationships among vertical versus horizontal individualism, cyberbullying, and internet addiction. Methods A total of 665 college students were selected using a convenience sampling method and willingly participated in the study. Participants’ ages ranged from 17 to 19 years (mean 17.94 years, SD 1.12 years). Of the group, 462 were women (462/665, 69.5%), and 203 were men (203/665, 30.5%). Study majors represented were mathematics (113/665, 17%), sciences (102/665, 15.3%), instructional technology (99/665, 14.9%), psychology (98/665, 14.7%), and others (253/665, 38.1%). Self-report instruments were used to measure vertical/horizontal individualism, cyberbullying, and internet addiction. Results Results show a significant positive effect of vertical individualism (effect size 0.10) and significant negative effect of horizontal individualism (effect size –0.12) on cyberbullying. In addition, the direct effect of vertical individualism on internet addiction was significant (effect size 0.28), but the direct effect of horizontal individualism was not (effect size –0.05). Internet addiction had a significant direct effect on cyberbullying (effect size 0.39) as well as an intervening effect on the relationship between vertical individualism and cyberbullying. Results also indicate significant gender differences in cultural patterns and internet addiction. Conclusions The findings suggest that horizontal and vertical individualism have significant effects on internet addiction. The findings also suggest that vertical individualists are more vulnerable to internet addiction. Further, the findings indicate a significant relationship between internet addiction and cyberbullying.
Intelligibility in Context Scale: Sensitivity and specificity in the Jamaican context

ABSTRACT The present study investigated the sensitivity and specificity of the English Intelligibility in Context Scale (ICS) and the ICS-Jamaican Creole (ICS-JC) translation with bilingual preschool-aged Jamaican children. Participants in this study were 262 English-Jamaican Creole simultaneous bilingual children (aged 3;3 to 6;3, M = 4;11, SD = 7.8). The ICS and ICS-JC were administered to parents in auditory form, rather than written form. Although recent evidence has demonstrated the validity and reliability of the ICS as an assessment tool in various languages, further data are needed to determine diagnostic accuracy of the ICS and ICS-JC in Jamaican children. The sensitivity and specificity of both tools were high in this cohort of children, indicating that in the Jamaican context, these versions of the ICS could be used as screening tools to identify children who require further assessment of speech sound disorders. A cut-off score of 4.12 was used for both tools to achieve high sensitivity (0.84) and specificity (0.70) values for the ICS, as well as high sensitivity (0.84) and specificity (0.71) for the ICS-JC. The results of this study also demonstrate that administration of the auditory ICS is a valid way of collecting parent reports about children’s speech intelligibility, which has implications for use of the ICS in languages with no written form or with parents who have a low level of literacy in the languages they use. This investigation is relevant not only to this underserved population but broadens knowledge of research-based tools for working with bilingual children.