Miracle-dz/UniFAR-FTUs huggingface dataset:
Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification

Automatic text simplification (ATS) describes the automatic transformation of a text from a complex form to a less complex form. Many modern ATS techniques need large parallel corpora of standard and simplified text, but such data does not exist for many languages. One way to overcome this issue is to create pseudo-parallel corpora by dividing existing corpora into standard and simple parts. In this work, we explore the creation of Swedish pseudo-parallel monolingual corpora by the application of different feature representation methods, sentence alignment algorithms, and indexing approaches, on a large monolingual corpus. The different corpora are used to fine-tune a sentence simplification system based on BART, which is evaluated with standard evaluation metrics for automatic text simplification.
On the Concept of Resource-Efficiency in NLP

Resource-efficiency is a growing concern in the NLP community. But what are the resources we care about and why? How do we measure efficiency in a way that is reliable and relevant? And how do we balance efficiency and other important concerns? Based on a review of the emerging literature on the subject, we discuss different ways of conceptualizing efficiency in terms of product and cost, using a simple case study on fine-tuning and knowledge distillation for illustration. We propose a novel metric of amortized efficiency that is better suited for life-cycle analysis than existing metrics.
Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation

There are several ways of implementing multilingual NLP systems but little consensus as to whether different approaches exhibit similar effects. Are the trends that we observe when adding more languages the same as those we observe when sharing more parameters? We focus on encoder representations drawn from modular multilingual machine translation systems in an English-centric scenario, and study their quality from multiple aspects: how adequate they are for machine translation, how independent of the source language they are, and what semantic information they convey. Adding translation directions in English-centric scenarios does not conclusively lead to an increase in translation quality. Shared layers increase performance on zero-shot translation pairs and lead to more language-independent representations, but these improvements do not systematically align with more semantically accurate representations, from a monolingual standpoint.
Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German

This work studies the plausibility of sequence-to-sequence neural networks as models of morphological acquisition by humans. We replicate the findings of Kirov and Cotterell (2018) on the well-known challenge of the English past tense and examine their generalizability to two related but morphologically richer languages, namely Dutch and German. Using a new dataset of English/Dutch/German (ir)regular verb forms, we show that the major findings of Kirov and Cotterell (2018) hold for all three languages, including the observation of over-regularization errors and micro U-shape learning trajectories. At the same time, we observe troublesome cases of non human-like errors similar to those reported by recent follow-up studies with different languages or neural architectures. Finally, we study the possibility of switching to orthographic input in the absence of pronunciation information and show this can have a non-negligible impact on the simulation results, with possibly misleading findings.
Detection and attribution of quotes in Finnish news media: BERT vs. rule-based approach

We approach the problem of recognition and attribution of quotes in Finnish news media. Solving this task would create possibilities for large-scale analysis of media wrt. the presence and styles of presentation of different voices and opinions. We describe the annotation of a corpus of media texts, numbering around 1500 articles, with quote attribution and coreference information. Further, we compare two methods for automatic quote recognition: a rule-based one operating on dependency trees and a machine learning one built on top of the BERT language model. We conclude that BERT provides more promising results even with little training data, achieving 95% F-score on direct quote recognition and 84% for indirect quotes. Finally, we discuss open problems and further associated tasks, especially the necessity of resolving speaker mentions to entity references.
Anaemia among lactating and non-lactating women in low-income and middle-income countries: a comparative cross-sectional study

Objective This study aimed to assess the prevalence and determinants of anaemia among lactating and non-lactating women in low-income and middle-income countries (LMICs). Design Comparative cross-sectional study. Setting LMICs. Participants Reproductive-age women. Primary outcome Anaemia. Methods Data for the study were drawn from the recent 46 LMICs Demographic and Health Surveys (DHS). A total of 185 330 lactating and 827 501 non-lactating women (both are non-pregnant) who gave birth in the last 5 years preceding the survey were included. STATA V.16 was used to clean, code and analyse the data. Multilevel multivariable logistic regression was employed to identify factors associated with anaemia. In the adjusted model, the adjusted OR with 95% CI and a p value <0.05 was reported to indicate statistical association. Result The prevalence of anaemia among lactating and non-lactating women was found at 50.95% (95% CI 50.72, 51.17) and 49.33% (95% CI 49.23%, 49.44%), respectively. Maternal age, mother’s educational status, wealth index, family size, media exposure, residence, pregnancy termination, source of drinking water and contraceptive usage were significantly associated determinants of anaemia in both lactating and non-lactating women. Additionally, the type of toilet facility, antenatal care visit, postnatal care visit, iron supplementation and place of delivery were factors significantly associated with anaemia in lactating women. Besides, smoking was significantly associated with anaemia in non-lactating women. Conclusions and recommendations The prevalence of anaemia was higher in lactating women compared with non-lactating. Almost half of the lactating and non-lactating women were anaemic. Both individual-level and community-level factors were significantly associated with anaemia. Governments, non-governmental organisations, healthcare professionals and other stakeholders are recommended to primarily focus on disadvantageous communities where their knowledge, purchasing power, access to healthcare facilities, access to clean drinking water and clean toilet facilities are minimal.
Linalool: A ubiquitous floral volatile mediating the communication between plants and insects

Terpenoids, one of the most important plant volatiles, mediate the communication between plants and pollinators, herbivores as well as pathogens. Recently, researchers have shown intensive interest in the complicated interactions. Linalool, an acyclic monoterpene, is one of the common flavor‐related volatiles across the plant kingdom. In this review, we summarized the biosynthesis and transcriptional regulation of terpenoids, and then focused on the biological function of linalool in plant–insect interactions. We found that flowers emitting linalool as the dominant volatile appeal to broad assemblages of pollinators, while some pollinators typically have strong preferences for these flowers as well. Hereinto, moths and bees are the main pollinators of linalool‐dominant flowers. Additionally, linalool produced by plants could defend against insect pests and pathogens. It is noteworthy that the two enantiomers of linalool have distinct functions. (S)‐(+)‐linalool mainly attracts pollinators, while (R)‐(−)‐linalool seems to act as insect repellents. Further research on the biofunctional diversity and genetic mechanisms of linalool enantiomers will reveal the complexity of plant survival strategies, and the increasing understanding of the molecular mechanisms underlying their biosynthesis and transcriptional regulation will provide theoretical foundation and practical basis for directional transformation of plants.
A Plastic Surgeons Guide to the Temporomandibular Joint: Part III, Treatment

The temporomandibular joint (TMJ) has a complex and unique anatomy. When disarranged, it may produce a constellation of symptoms and dysfunction, leading to morbidity. The causes of TMJ dysfunction are numerous but often present with similar clinical signs and symptoms. In this series, we included a review of normal anatomy and a review of the pathophysiology with assessment of the most common TMJ dysfunctions, including myofascial pain, internal derangements of the articular disk, osteoarthrosis, among others. The authors present the last of a 3-part educational series on the TMJ, addressing treatment strategies for these disorders.
Policy advocacy, network formation and network governance

This article examines the mechanisms underlying the formation of U.S. national clean energy policy network. Informed by the Institutional Collective Action (ICA) framework, this article develops and tests hypotheses regarding cooperation versus coordination hypotheses regarding the reasons underlying clean energy policy actors’ networking activities. Using a webcrawler data collection strategy and measuring policy network with hyperlink network, a data set of network relationships among the clean energy policy actors is collected. Exponential Random Graph Models (ERGMs) are applied to test the proposed hypotheses, and results show strong empirical evidence supporting cooperation hypotheses, with partial support for coordination hypotheses.
Analysis of Fractions Skill Score properties for random precipitation fields and ECMWF forecasts

The Fractions Skill Score (FSS) is a spatial verification measure that is used for assessing the performance of precipitation forecasts from numerical weather prediction models. Previous studies have shown that the FSS is able to give a direct measure of the error in the placement of the rain. This article takes the approach further and derives analytical expressions and uses Monte‐Carlo simulations for randomly positioned observed and forecast rainfall to reveal further characteristics of the FSS in both infinite and bounded domains. It reveals that the definition of an FSS value that determines the minimum scale at which a forecast should be deemed ‘useful’ (useful forecast criteria) is a meaningful concept and shows how this value increases with increasing fractional rainfall coverage. A study of real forecast data is also presented using 8 years of European Centre for Medium‐Range Weather Forecasts (ECMWF) model forecasts, out to a lead time of 9 days, over domains of differing sizes covering parts of Europe and North Africa. The FSS is examined using different strategies for dealing with the domain boundary and is compared with the analytical study. The findings give practical guidance on how to use the FSS. For most situations a FSS value of >0.5 serves as a good indicator of a useful forecast. The choice of domain size for rainfall forecast verification should consider the typical spatial errors of the forecast. For a domain that is large compared to the typical spatial error, the boundaries have little adverse affect, but this is not the case if the spatial errors start to become comparable to the size of the domain. The evaluation of ECMWF forecasts reveals the extent of the spatial errors that emerge for medium‐range forecasts and show the value of verifying those forecasts using the FSS over an appropriately sized region.
Investigating Privacy Perceptions and Subjective Acceptance of Eye Tracking on Handheld Mobile Devices

Although eye tracking brings many benefits to users of mobile devices and developers of mobile applications, it poses significant privacy risks to both: the users of mobile devices, and the bystanders that surround users, are within the front-facing camera's field of view. Recent research demonstrates that tracking an individual's gaze reveals personal and sensitive information. This paper presents an investigation of the privacy perceptions and the subjective acceptance of users towards eye tracking on handheld mobile devices. In a four-phase user study (N=17), participants used a smartphone eye tracking app, were interviewed before and after viewing a video showing the amount of sensitive and personal data that could be derived from eye movements, and had their privacy concerns measured. Our findings 1) show factors that influence users' and bystanders' attitudes toward eye tracking on mobile devices such as the algorithms' transparency and the developers' credibility and 2) support designing mechanisms to allow for privacy-aware eye tracking solutions on mobile-devices.
Fast Drink: Mediating Empathy for Gig Workers

The digitization of services and global lock-downs have led an explosion of delivery services, which use gig-workers as delivery personnel. They can face apathy from both their employers and users of the service. Previous studies focused on mediating interactions between workers or workers and tasks. However, delivery presents the opportunity for HCI interventions to mediate the interaction between worker and users to increase their empathy. We conducted an empirical study where 63 participants ordered a drink with an app which presented a different level of information about the delivery person (nothing; name and photo; heart rate). Initial results show no significant impact on empathy measures between conditions, however post-hoc analysis showed that heart rate lead to increased Compassionate and decreased Affective empathy. This raises the question of what “type” of empathy is beneficial for delivery personnel and the need to refine the concept and measures of empathy used in HCI.
The ecological characteristics of the safe sites for early-stage establishment of Chamaecyparis obtusa var. formosana seedlings in Taiwan

Chamaecyparis obtusa var. formosana is an ecologically and economically important species in Taiwan, with a high affinity for fog immersion. Our study aims to identify possible stress factors that induced seedling mortality and investigate how different ecological factors influence early-stage safe site requirements of the seedlings. We focused on the effect of large-scale climatic variables, small-scale microhabitat conditions, and biotic interactions on seedling survival and establishment by applying seasonal seedling survival monitoring and establishment survey on both regional and local scale. We identified two alternative ways of seedling death, by environmental-induced mortality and by herbivory. Opposite effects of the same environmental factors on different causes of mortality showed that seedlings might need to balance the risks posed by both causes to optimize their growing conditions. On a regional scale, we observed limited effect of regional climatic variables (namely fog frequency) on seedlings’ establishment and survival but noted a similar seasonal survival pattern among regions. We hypothesize that short-duration droughts during the transition from Plum rain to typhoon season is one of the key mechanisms of environmental-induced mortality. On a local scale, we found that decayed coarse wood debris (CWD) facilitates seedling establishment by providing a “safe site”, likely due to increased colonization of small-stature bryophytes and decreased litterfall accumulation. The effect of bryophytes on seedling establishment varies depending on their thickness, with thicker ones having stronger negative effects. Aside from the bryophytes, the accumulation of litter significantly hindered seedling establishment. We argue that to safeguard the regeneration of Chamaecyparis obtusa var. formosana population, preserving CWD in the forest floor as a safe site for the seedlings after tree-replacing disturbance in natural forests is essential, particularly under ongoing climate change where more frequent and prolonged drought events are predicted. Highlights On a local scale, decayed coarse wood debris (CWD) provides “safe site” for the establishment of Chamaecypairs obtusa var. formosana seedlings. Regional climatic variables had limited effects on seedlings, but all regions had similar seasonal patterns of seedling mortatlity. Facilitation effect of small-stature bryophytes and litterfall avoidance might be the underlying mechanisms behind CWD safe sites. Preserving CWD for seedlings is important in the context of predicted prolong drought events under ongoing climate change.
Transcriptome profiling of human colonic cells exposed to the gut pathobiont Streptococcus gallolyticus subsp. gallolyticus

Streptococcus gallolyticus sp. gallolyticus (SGG) is a gut pathobiont involved in the development of colorectal cancer (CRC). To decipher the contribution of SGG in tumor initiation and/or acceleration respectively, a global transcriptome was performed in normal colonic cells (FHC) and in tumoral colonic cells (HT29). To identify SGG-specific alterations, we chose the phylogenetically closest relative, Streptococcus gallolyticus subsp. macedonicus (SGM) as the control bacterium. We show that SGM, a bacterium generally considered as safe, did not induce any transcriptional changes on the two human colonic cells. The transcriptional reprogramming induced by SGG was significantly different in FHC and HT29 cells, with most of the up- and down-regulated genes associated with cancer disease. Top up-regulated genes related to cancer were: (i) IL-20, CLK1, SORBS2, ERG1, PIM1, SNORD3A for normal FHC cells and (ii) TSLP, BHLHA15, LAMP3, ZNF27B, KRT17, ATF3 for cancerous HT29 cells. SGG induces much stronger transcriptional changes in cancerous than in normal colonic cells (2,090 vs 128 genes being affected, respectively). Gene set enrichment analysis reveals that SGG-induced strong ER- (endoplasmic reticulum) stress and UPR- (unfolded protein response) activation in colonic epithelial cells. Our results suggest that SGG induces a pro-tumoral shift in human colonic cells, particularly in transformed cells potentially accelerating tumor development in the colon.
ChemSpacE: Interpretable and Interactive Chemical Space Exploration

Discovering meaningful molecules in the vast combinatorial chemical space has been a long-standing challenge in many fields, from materials science to drug design. Recent progress in machine learning, especially with generative models, shows great promise for automated molecule synthesis. Nevertheless, most molecule generative models remain black-boxes, whose utilities are limited by a lack of interpretability and human participation in the generation process. In this work, we propose Chem ical Spac e E xplorer (ChemSpacE), a simple yet effective method for exploring the chemical space with pre-trained deep generative models. Our method enables users to interact with existing generative models and steer the molecule generation process. We demonstrate the efficacy of ChemSpacE on the molecule optimization task and the latent molecule manipulation task in single-property and multi-property settings. On the molecule optimization task, the performance of ChemSpacE is on par with previous black-box optimization methods yet is considerably faster and more sample efficient. Furthermore, the interface from ChemSpacE facilitates human-in-the-loop chemical space exploration and interactive molecule design. Code and demo are available at https://github.com/yuanqidu/ChemSpacE .
FMO family may serve as novel marker and potential therapeutic target for the peritoneal metastasis in gastric cancer

Objective To explore the relationship between flavin-containing monooxygenases (FMOs) and peritoneal metastasis (PM) in gastric cancer (GC). Materials and methods TIMER 2.0 was used to perform pan-cancer analysis and assess the correlation between the expression of FMOs and cancers. A dataset from The Cancer Genome Atlas (TCGA) was used to analyze the correlation between FMOs and clinicopathological features of GC. PM is well established as the most common mode of metastasis in GC. To further analyze the correlation between FMOs and PM of GC, a dataset was obtained from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database. The results were validated by immunohistochemistry. The relationship between FMOs and PM of GC was explored, and a novel PM risk signature was constructed by least absolute shrinkage and selection operator (LASSO) regression analysis. The regression model’s validity was tested by multisampling. A nomogram was established based on the model for predicting PM in GC patients. The mechanism of FMOs in GC patients presenting with PM was assessed by conducting Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in TCGA and GEO datasets. Finally, the potential relationship between FMOs and immunotherapy was analyzed. Results The pan-cancer analysis in TCGA and GEO datasets showed that FMO1 was upregulated, while FMO2 and FMO4 were downregulated in GC. Moreover, FMO1 and FMO2 correlated positively with the T and N stage of GC in the TCGA dataset. FMO1 and FMO2 expression was a risk factor for GC (hazard ratio: 1.112 and 1.185). The overexpression of FMO1 was significantly correlated with worse disease-free-survival (DFS) and overall survival (OS). However, no relationship was found between FMO2 expression in GC and DFS and OS. PM was highly prevalent among GC patients and typically associated with a worse prognosis. FMO1 was highly expressed in GC with PM. FMO1 and FMO2 were positively correlated with PM in GC. We identified a 12-gene panel for predicting the PM risk signature by LASSO (Area Under Curve (AUC) = 0.948, 95%CI: 0.896–1.000). A 10-gene panel for PM prediction was identified (AUC = 0.932, 95%CI: 0.874–0.990), comprising FMO1 and FMO2. To establish a model for clinical application, a 7-gene panel was established (AUC = 0.927, 95% CI: 0.877–0.977) and successfully validated by multisampling. (AUC = 0.892, 95% CI: 0.878–0.906). GO and KEGG analyses suggest that FMO1 and FMO2 regulate the extracellular matrix and cell adhesion. FMO1 and FMO2 were positively correlated with the immune score of GC, and their expression was associated with the infiltration of immune cells. Conclusion PM in GC is strongly correlated with FMOs. Overall, FMO1 and FMO2 have huge prospects for application as novel diagnostic and therapeutic targets.
Nexus between health poverty and climatic variability in Pakistan: a geospatial analysis

Studies investigating the interconnection of health poverty and climatic variability are rare in spatial perspectives. Given the importance of sustainable development goals 3, goal 10, and goal 13, we explored whether the geographic regions with diverse climate structure has a spatial association with health poverty; whether spatial disparities exist across districts of Pakistan. We implied the A-F methodology to estimate the MHP index using the PSLM survey, 2019–20. The climate variables were extracted from the online NASA website. We applied the spatial techniques of Moran’s I, univariate and bivariate LISA, to address the research questions. The findings revealed that the magnitude of MHP differs across districts. Punjab was found to be the better-ff whereas Baluchistan was the highest health poverty-stricken province. The spatial results indicated positive associations of MHP and climate indicators with their values in the neighbors, whereas a negative spatial association was found between the MHP and climate indicators. Also, spatial clusters and outliers of higher MHP were significant in Baluchistan and KP provinces. Government intervention and policymaker’s prioritization are needed towards health and health-related social indicators, mainly in the high poverty-stricken districts, with high temperature and low humidity and precipitation rates, especially in Baluchistan.