bluuebunny/crossref_metadata_2025_split huggingface dataset:
A stochastic model for estimating sustainable limits to wildlife mortality in a changing world
Authors: Manlik Oliver , Lacy Robert C. , Sherwin William B. , Finn Hugh , Loneragan Neil R. , Allen Simon J. 
Published: February 2022

AbstractHuman‐caused mortality of wildlife is a pervasive threat to biodiversity. Assessing the population‐level impact of fisheries bycatch and other human‐caused mortality of wildlife has typically relied upon deterministic methods. However, population declines are often accelerated by stochastic factors that are not accounted for in such conventional methods. Building on the widely applied potential biological removal (PBR) equation, we devised a new population modeling approach for estimating sustainable limits to human‐caused mortality and applied it in a case study of bottlenose dolphins affected by capture in an Australian demersal otter trawl fishery. Our approach, termed sustainable anthropogenic mortality in stochastic environments (SAMSE), incorporates environmental and demographic stochasticity, including the dependency of offspring on their mothers. The SAMSE limit is the maximum number of individuals that can be removed without causing negative stochastic population growth. We calculated a PBR of 16.2 dolphins per year based on the best abundance estimate available. In contrast, the SAMSE model indicated that only 2.3–8.0 dolphins could be removed annually without causing a population decline in a stochastic environment. These results suggest that reported bycatch rates are unsustainable in the long term, unless reproductive rates are consistently higher than average. The difference between the deterministic PBR calculation and the SAMSE limits showed that deterministic approaches may underestimate the true impact of human‐caused mortality of wildlife. This highlights the importance of integrating stochasticity when evaluating the impact of bycatch or other human‐caused mortality on wildlife, such as hunting, lethal control measures, and wind turbine collisions. Although population viability analysis (PVA) has been used to evaluate the impact of human‐caused mortality, SAMSE represents a novel PVA framework that incorporates stochasticity for estimating acceptable levels of human‐caused mortality. It offers a broadly applicable, stochastic addition to the demographic toolbox to evaluate the impact of human‐caused mortality on wildlife.
Quantifying the probability of detection of wild ungulates with the Judas technique
Authors: Ramsey David S. L. , Campbell Karl J. , Lavoie Christian , Macdonald Norm , Morrison Scott A. 
Published: February 2022

AbstractThe Judas technique is often used in control or eradication of particular vertebrate pests. The technique exploits the tendency of individuals to form social groups. A radio collar is affixed to an individual and its subsequent monitoring facilitates the detection of other conspecifics. Efficacy of this technique would be improved if managers could estimate the probability that a Judas individual would detect conspecifics. To calculate this probability, we estimated association rates of Judas individuals with other Judas individuals, given the length of time the Judas has been deployed. We developed a simple model of space‐use for individual Judas animals and constrained detection probabilities to those specific areas. We then combined estimates for individual Judas animals to infer the probability that a wild individual could be detected in an area of interest via Judas surveillance. We illustrated the method by using data from a feral goat eradication program on Isla Santiago, Galápagos, and a feral pig eradication program on Santa Cruz Island, California. Association probabilities declined as the proximity between individual areas of use of a Judas pair decreased. Unconditional probabilities of detection within individual areas of use averaged 0.09 per month for feral pigs and 0.11 per month for feral goats. Probabilities that eradication had been achieved, given no detections of wild conspecifics, and an uninformative prior probability of eradication were 0.79 (90% CI 0.22–0.99) for feral goats and 0.87 (90% CI 0.44–1.0) for feral pigs. We envisage several additions to the analyses used that could improve estimates of Judas detection probability. Analyses such as these can help managers increase the efficacy of eradication efforts, leading to more effective effects to restore native biodiversity.
Predicting Definite and Indefinite Referents During Discourse Comprehension: Evidence from Event‐Related Potentials
Authors: Carter Georgia‐Ann , Nieuwland Mante S. 
Published: February 2022

AbstractLinguistic predictions may be generated from and evaluated against a representation of events and referents described in the discourse. Compatible with this idea, recent work shows that predictions about novel noun phrases include their definiteness. In the current follow‐up study, we ask whether people engage similar prediction‐related processes for definite and indefinite referents. This question is relevant for linguistic theories that imply a processing difference between definite and indefinite noun phrases, typically because definiteness is thought to require a uniquely identifiable referent in the discourse. We addressed this question in an event‐related potential (ERP) study (N = 48) with preregistration of data acquisition, preprocessing, and Bayesian analysis. Participants read Dutch mini‐stories with a definite or indefinite novel noun phrase (e.g., “het/een huis,” the/a house), wherein (in)definiteness of the article was either expected or unexpected and the noun was always strongly expected. Unexpected articles elicited enhanced N400s, but unexpectedly indefinite articles also elicited a positive ERP effect at frontal channels compared to expectedly indefinite articles. We tentatively link this effect to an antiuniqueness violation, which may force people to introduce a new referent over and above the already anticipated one. Interestingly, expectedly definite nouns elicited larger N400s than unexpectedly definite nouns (replicating a previous surprising finding) and indefinite nouns. Although the exact nature of these noun effects remains unknown, expectedly definite nouns may have triggered the strongest semantic activation because they alone refer to specific and concrete referents. In sum, results from both the articles and nouns clearly demonstrate that definiteness marking has a rapid effect on processing, counter to recent claims regarding definiteness processing.
What Children with Developmental Language Disorder Teach Us About Cross‐Situational Word Learning
Authors: McGregor Karla K. , Smolak Erin , Jones Michelle , Oleson Jacob , Eden Nichole , Arbisi‐Kelm Timothy , Pomper Ronald 
Published: February 2022

AbstractChildren with developmental language disorder (DLD) served as a test case for determining the role of extant vocabulary knowledge, endogenous attention, and phonological working memory abilities in cross‐situational word learning. First‐graders (Mage = 7 years; 3 months), 44 with typical development (TD) and 28 with DLD, completed a cross‐situational word‐learning task comprised six cycles, followed by retention tests and independent assessments of attention, memory, and vocabulary. Children with DLD scored lower than those with TD on all measures of learning and retention, a performance gap that emerged in the first cycle of the cross‐situational protocol and that we attribute to weaknesses in initial encoding. Over cycles, children with DLD learned words at a similar rate as their TD peers but they were less flexible in their strategy use, demonstrating a propose‐but‐verify approach but never a statistical aggregation approach. Also, they drew upon different mechanisms to support their learning. Attention played a greater role for the children with DLD, whereas extant vocabulary size played a greater role for the children with TD. Children navigate the problem space of cross‐situational learning via varied routes. This conclusion is offered as motivation for theorists to capture all learners, not just the most typical ones.
Childhood Experience Reduces Gender Differences in Spatial Abilities: A Cross‐Cultural Study
Authors: Schug Mariah G. , Barhorst‐Cates Erica , Stefanucci Jeanine , Creem‐Regehr Sarah , Olsen Anna P. L. , Cashdan Elizabeth 
Published: February 2022

AbstractSpatial experience in childhood is a factor in the development of spatial abilities. In this study, we assessed whether American and Faroese participants’ (N = 246, Mage = 19.31 years, 151 females) early spatial experience and adult spatial outcomes differed by gender and culture, and if early experience was related to adult performance and behavior. Participants completed retrospective reports on their childhood spatial experience, both large‐scale (permitted childhood range size) and small‐scale (Lego play). They also completed assessments of their current large‐scale spatial behavior (navigational strategy) and small‐scale ability (mental rotation task, MRT). We replicated earlier results showing better MRT performance among males and more reliance by males on orientation navigational strategies, although males and females reported similar ranges as children. However, there were cross‐cultural differences, with Faroese having larger childhood ranges, less reliance on route strategies, better MRT scores, and a smaller gender difference in MRT. Larger permitted childhood ranges were associated with reduced use of route strategies for navigation in adulthood, and greater Lego play in childhood predicted better MRT performance as adults. There was also some evidence supporting relationships across spatial scales, with more Lego play predicting an orientation style of navigation and larger childhood ranges predicting better performance on the MRT, although the latter was not independent of country. In sum, we observed an association in both cultures between large‐scale childhood experience and large‐scale behavior in adulthood, small‐scale experience in childhood and adult small‐scale performance, and some associations between experience and behavior across spatial scales.
The Emergence of Natural Language Quantification
Authors: Kocab Annemarie , Davidson Kathryn , Snedeker Jesse 
Published: February 2022

AbstractClassical quantifiers (like “all,” “some,” and “none”) express relationships between two sets, allowing us to make generalizations (like “no elephants fly”). Devices like these appear to be universal in human languages. Is the ubiquity of quantification due to a universal property of the human mind or is it attributable to more gradual convergence through cultural evolution? We investigated whether classical quantifiers are present in a new language emerging in isolation from other languages, Nicaraguan Sign Language (NSL). An observational study of historical data collected in the 1990s found evidence of potential quantifier forms. To confirm the quantificational meaning of these signs, we designed a production study that elicited, from three age cohorts of NSL signers (N = 17), three types of quantifiers: universal (all), existential (some), and negative (none). We find evidence for these classical quantifiers in the very first generation of signers, suggesting they may reflect a universal property of human cognition or a very rapid construction process.
Are Emoji Processed Like Words? An Eye‐Tracking Study
Authors: Paggio Patrizia , Tse Alice Ping Ping 
Published: February 2022

AbstractIn this study, we investigate the processing of object‐denoting emoji in sentences using eye tracking. We hypothesize that (a) such emoji are more difficult to process when used as word replacement; and (b) their processing is subject to ambiguity constraints similarly to what happens with words. We conduct two experiments in which participants have to read sentences in which an emoji either follows or replaces a word. Control stimuli not containing emoji are also tested. In the second experiment, the emoji are presented in two different disambiguating contexts. First fixation duration, total visit duration, and total revisit duration are modeled in the various conditions using linear mixed models. Both our hypotheses are supported. We observe longer total visit time for non‐redundant emoji, and higher values for all three measures for ambiguous emoji. We conclude that lexical access may be more difficult for emoji especially when they are used as word replacements and their meaning is not immediately clear. Furthermore, we also conclude that non‐redundant emoji are more difficult to integrate in the processing of the sentence than the equivalent words, or emoji used in a redundant way. In turn, our results indicate that emoji may not always be as immediate and easy to process for readers in spite of their popularity.
Accessing Semantic Information from Above: Parafoveal Processing during the Reading of Vertically Presented Sentences in Traditional Chinese
Authors: Pan Jinger , Yan Ming , Yeh Su‐Ling 
Published: February 2022

AbstractAs traditional Chinese readers are familiar with reading texts both horizontally rightwards and vertically downwards, the traditional Chinese script provides us a chance to investigate the influence of reading direction on preview benefits by ruling out the confounding factor of different familiarities with reading directions. The present study examines whether parafoveal information can be obtained when reading Chinese sentences in the vertical direction. We manipulated semantic and phonological relatedness between parafoveal preview words and target words. Results showed that traditional Chinese readers could obtain semantic information from preview words; however, there was no phonological preview benefit. Our findings agree with the notion that Chinese characters are well‐optimized for semantic access.
Computational models in inflammatory bowel disease
Authors: Pinton Philippe 
Published: February 2022

AbstractInflammatory bowel disease (IBD) is a chronic and relapsing disease with multiple underlying influences and notable heterogeneity among its clinical and response‐to‐treatment phenotypes. There is no cure for IBD, and none of the currently available therapies have demonstrated clinical efficacies beyond 40%–60%. Data collected about its omics, pathogenesis, and treatment strategies have grown exponentially with time making IBD a prime candidate for artificial intelligence (AI) mediated discovery support. AI can be leveraged to further understand or identify IBD features to improve clinical outcomes. Various treatment candidates are currently under evaluation in clinical trials, offering further approaches and opportunities for increasing the efficacies of treatments. However, currently, therapeutic plans are largely determined using clinical features due to the lack of specific biomarkers, and it has become necessary to step into precision medicine to predict therapeutic responses to guarantee optimal treatment efficacy. This is accompanied by the application of AI and the development of multiscale hybrid models combining mechanistic approaches and machine learning. These models ultimately lead to the creation of digital twins of given patients delivering on the promise of precision dosing and tailored treatment. Interleukin‐6 (IL‐6) is a prominent cytokine in cell‐to‐cell communication in the inflammatory responses’ regulation. Dysregulated IL‐6‐induced signaling leads to severe immunological or proliferative pathologies, such as IBD and colon cancer. This mini‐review explores multiscale models with the aim of predicting the response to therapy in IBD. Modeling IL‐6 biology and generating digital twins enhance the credibility of their prediction.
Influences of decisions to attend a national diabetes prevention programme from people living in a socioeconomically deprived area
Authors: Begum Sonia , Povey Rachel , Ellis Naomi , Gidlow Christopher , Chadwick Paul 
Published: February 2022

AbstractAimsTo explore key influences of decisions in participants from a socioeconomically deprived area to attend the Healthier You: NHS Diabetes Prevention Programme (NHSDPP). The NHSDPP is a lifestyle behaviour change programme for adults with prediabetes living in England.MethodsSemi‐structured interviews were conducted with 35 participants who had attended the initial assessment, but not yet started the NHSDPP; 23 were classified as “attenders,” 12 as “non‐attenders” after they were interviewed based on whether they had attended the first NHSDPP session or not. Transcribed interviews were analysed using inductive thematic analysis.ResultsSeven themes were derived from the data. The results demonstrate how understanding type 2 diabetes, making lifestyle changes, comparing themselves with others, having support and certain self‐perceptions can all affect individuals’ motivation to attend a diabetes prevention programme. Accessibility and practicalities also influenced both motivation and attendance.ConclusionsThis study identified a range of different influences on decisions to attend a diabetes prevention programme, which programme organisers and healthcare professionals should consider to maximise attendance. Initial communication from general practitioners (GPs) and initial assessments are key points where people's beliefs and understanding could be explored.
The role of three dimensional transesophageal echocardiography in predicting the effect of cardiac resynchronization therapy on mitral regurgitation in patients with low ejection fraction heart failure
Authors: Demirtola Ayşe İrem , Tan Turkan Seda , Mammadli Anar , Akbulut Müge , Gerede Demet Menekse , Dinçer Irem 
Published: February 2022

AbstractPurposeCardiac resynchronization therapy (CRT) positively affects the improvement of functional mitral regurgitation (MR) in patients with heart failure with reduced ejection fraction (HFrEF). However, geometric changes in the mitral valve apparatus, subvalvular structures and their contribution to improving mitral regurgitation after CRT have not been clearly defined. Our study aimed to evaluate the geometric parameters of mitral valve apparatus measured with three‐dimensional (3D) transesophageal echocardiography (TEE) before CRT implantation and to determine the parameters predicting the improvement of MR after CRT.MethodsIn this prospective study, we included thirty patients with moderate or severe MR and HFrEF planned for CRT implantation who had an indication for TEE. Before CRT implantation, effective regurgitant orifice (ERO) and regurgitant volume (RV) measurements were performed. Detailed quantitative measurements of the mitral valve were done from recorded images by 3D TEE. ERO and RV measurements were repeated to evaluate MR at the end of the third month.ResultsThere were no significant changes in left ventricular EF and left ventricular diameters at third‐month follow‐up, whereas ERO and RV values were decreased. The posterior leaflet angle was higher in the non‐responder group than the responder group (28.93 ± 8.41 vs 41.25 ± 10.90, p = 0.006). The posterior leaflet angle was an independent predictor of decreased RV and ERO.ConclusionAmong HFrEF patients with moderate or severe functional MR who underwent CRT implantation had a lower posterior leaflet angle, which was measured by 3D TEE, in the patient group whose MR improved after CRT.
The deontic basis of the firm—Implications for corporate governance
Authors: Lopes Helena 
Published: February 2022

AbstractThe paper presents a conception of firms' efficiency that breaks with the agency theory of the firm, which sees the efficiency of firms as no different in nature from that of markets. We argue that firms are efficient relative to markets, thanks to two kinds of social interaction, namely, interpersonal interactions and compliance with authority; these interactions take place among workers engaged in a collective productive venture and could not develop in markets. Two kinds of norm emerge from these interactions that create the rights and obligations needed for horizontal and vertical cooperation; the functioning of firms and their specific efficiency thus have a deontic basis. Just as shareholder‐oriented governance is normatively derived from agency theory's vision of the firm, which has succeeded in powerfully influencing corporate law and corporate governance since the 1980s, participatory governance is the governance mode that normatively derives from our understanding of the firm.
Mutations within the putative protease domain of the human FAM111B gene may predict disease severity and poor prognosis: A review of POIKTMP cases
Authors: Arowolo Afolake , Rhoda Cenza , Khumalo Nonhlanhla 
Published: February 2022

AbstractMutations in the human FAM111B gene are associated with a rare, hereditary multi‐systemic fibrosing disease, POIKTMP. To date, there are ten POIKTMP‐associated FAM111B gene mutations reported in thirty‐six patients from five families globally. To investigate the clinical significance of these mutations, we summarized individual cases by clinical features and position of the reported FAM111B gene mutations as those within and outside the putative protease domain (MWPPD and MOPPD respectively). MWPPD cases had more clinical manifestations than MOPPD (25 versus 18). Although the most common clinical features of poikiloderma, alopecia and hypohidrosis overall occurred in 94%, 86% and 75% of all cases with no significant differences between the MOPPD and MWPPD group, less common features included life‐threatening (pulmonary fibrosis 47% vs. 13%; liver abnormalities specifically cirrhosis 26% vs. 7%) and physically disabling conditions (myopathy 53% vs. 20%; tendon contracture 55% vs. 7%) were more common in MWPPD cases. Similarly, the only 2 cases of POIKTMP with fatal pancreatic cancers were both only in the MWPPD group. This review thus suggests that mutations within the putative protease domain of the FAM111B protein are associated with a broader range of clinical features and may predict increased POIKTMP severity and a poorer prognosis.