This study is one of the few research efforts investigating unexpected non-interactive foreign language acquisition in children with Autism Spectrum Disorder (ASD). Participants included 46 English-Hebrew-speaking children (ages 4;10 to 12;0): 14 autistic children who acquired English via non-interactive input (ASD-NI); 12 autistic children (ASD-Nat), and 20 non-autistic children with typical language development (TLD-Nat) who acquired English and Hebrew naturalistically. Morpho-syntactic abilities were assessed using Sentence Repetition tasks in both languages. The results showed no group differences for morpho-syntax in English; in Hebrew, the ASD-NI group scored similarly to the ASD-Nat group but lower than the TLD-Nat group. Individual performance differences between Hebrew and English were observed across all groups. Additionally, correlations between exposure and SRep scores were found in both groups for Hebrew but not English. These findings highlight diverse paths to language acquisition in ASD, with children acquiring foreign languages via both naturalistic and non-interactive input.

Eric Mascall and Karl Barth shared a common concern with the influence of liberal Protestantism on their churches in England and Germany. They agreed this problem was best addressed through the lens of natural theology. Yet, while for Mascall a Thomistically informed understanding of natural theology was the best way to counteract liberal Protestantism’s influence on the Church, for Barth, natural theology was to blame for the Church’s confusion. The concern this paper raises was Barth’s sharp delineation between human reason and divine revelation in the end, complicit with the ontological duality of modernity that was the basis of the liberal Protestantism he was rejecting? By dealing with modernity on its own terms, Barth undermined the capacity of the Church’s ministry of Word and Sacrament to be effective agents of personal transformation. Whereas Mascall’s realistic ontology not only repudiates the idealist foundations of liberal Protestantism but also offers the Church the necessary ontology foundation for understanding its ministry of Word and Sacrament as effective embodiments of God’s transforming grace.

American and European adults prefer natural products and often pay premiums to purchase natural products. They may do this because they believe natural products are better, either functionally or inherently. We present a measure that assesses belief in the ‘benevolence of nature’ across a range of products and a range of situations, including safety, sensory appeal, and effectiveness. American adults show a substantial belief in the benevolence of nature. This belief is sometimes erroneous, with participants attributing higher quality to some natural products that are in fact inferior to their artificial counterparts. In support of the belief that natural products are inherently better, many participants express a preference for a natural as opposed to an artificial product when both are stipulated to be chemically identical or to have identical effects. An original set of 24 items to measure belief in the benevolence of nature is refined into a more useful 10-item scale, and correlations with related scales are assessed. Belief in the benevolence of nature is not lower in participants who have experienced at least one natural disaster.

Naturalness is important and valued by most lay Western individuals. Yet, little is known about the lay meaning of “natural”. We examine the phenomenon of additivity dominance: adding something to a natural product (additive) reduces naturalness more than removing an equivalent entity (“subtractive”). We demonstrate additivity dominance for the first time using equivalent adding and subtracting procedures. We find that adding something reduces naturalness more than removing the same thing (e.g., adding pulp to orange juice reduces naturalness more than removing pulp from orange juice; Study 1); an organism with a gene added is less natural than one with a gene removed (Study 2); and framing a product as an additive (versus as a subtractive) reduces naturalness (Study 3). We begin to examine accounts of additivity dominance. We find that it is not due to the connotations of the word “additive” (Study 4). However, data are consistent with an extra processing account — where additives involve more processing (extracting and adding) than subtractives (only removing) — and with a contagion account — where adding is more contaminating than removing (Study 5).

This study directly tests the hypothesis that, at least within the domains of food and drink for Americans, the judgment of naturalness has more to do with the history of an object, that is the processes that it has undergone, as opposed to its material content. Individuals rate the naturalness and acceptability of a natural entity (water or tomato paste), that same entity with a first transformation in which a natural substance is added (or some part removed), and then a second transformation in which the natural additive is removed (or the removed part is replaced). The twice transformed entity is stipulated to be identical to the original natural entity, yet it is rated much less natural and less acceptable. It differs from the original entity only in its history (the reversed processes it has experienced). The twice transformed entity is also rated as less natural than the once-transformed entity, even though the former is identical to the original natural entity, and the latter is not. Therefore, naturalness depends heavily on the process-history of an entity.

Judgments of naturalness of foods tend to be more influenced by the process history of a food, rather than its actual constituents. Two types of processing of a “natural” food are to add something or to remove something. We report in this study, based on a large random sample of individuals from six countries (France, Germany, Italy, Switzerland, UK and USA) that additives are considered defining features of what makes a food not natural, whereas “subtractives” are almost never mentioned. In support of this, skim milk (with major subtraction of fat) is rated as more natural than whole milk with a small amount of natural vitamin D added. It is also noted that “additives” is a common word, with a synonym reported by a native speaker in 17 of 18 languages, whereas “subtractive” is lexicalized in only 1 of the 18 languages. We consider reasons for additivity dominance, relating it to omission bias, feature positive bias, and notions of purity.

The COVID-19 pandemic presents an opportunity to refocus scholarly attention on the politics of crisis. Crises that abruptly upend political and economic relations are important and increasing in frequency. However, the division of international relations into international political economy (IPE) and international security has contributed to the relative neglect of non-militarized crises like pandemics. Crises are defined by threat, uncertainty, and time pressure: understanding them requires a careful examination of how these variables affect political and economic outcomes. Drawing on often disparate literatures on finance, energy and climate change, natural disasters, pandemics, and violent conflict, I propose a broad research program around the politics of crisis, focusing on puzzles related to causes, responses, and transformations.

A choice experiment of Mid-Atlantic consumers was conducted to determine marginal willingness to pay for the attributes organic, natural, locally grown, and state marketing program promoted for strawberry preserves. The influence of purchasing venue on willingness to pay was also examined. Results indicated a price premium when purchased at a farmers market across all five states and versions. Organic was preferred to natural in only one state. Preference ordering between local and state program promoted varied. Consumers in Maryland and Pennsylvania clearly preferred local, while those in New Jersey seemed most likely to prefer the state program version.

On most dairy farms teat dips are applied to the teats of cows either before or after milking in order to prevent pathogens from gaining access to the mammary gland via the teat canal. In the present experiments, a natural teat dip was developed using a fermentate containing the live bacterium Lactococcus lactis DPC 3251. This bacterium produces lacticin 3147, a two-component lantibiotic which was previously shown to effectively kill Gram-positive mastitis pathogens. Lacticin 3147 activity in the fermentate was retained at 53% of its original level following storage for 3 weeks at 4°C. In the initial experiments in vitro, 105 colony-forming units/ml (cfu/ml) of either Staphylococcus aureus, Streptococcus dysgalactiae or Streptococcus uberis were introduced into the lacticin-containing fermentate. Neither Staph. aureus nor Str. dysgalactiae could be detected after 30 min or 15 min, respectively, while Str. uberis was reduced approximately 100-fold after 15 min. Following these trials, preliminary experiments were performed in vivo on teats of lactating dairy cows. In these experiments, teats were coated with each of the challenge organisms and then dipped with the lacticin-containing fermented teat dip. Following a dip contact time of 10 min, staphylococci were reduced by 80% when compared with the undipped control teat. Streptococcal challenges were reduced by 97% for Str. dysgalactiae and by 90% for Str. uberis. These trials showed that the teat dip is able to reduce mastitis pathogens on the teats of lactating cows.

The goal of a sophisticated robot programming system is the ability to accept natural language input, such as English, and be able to convert this to a series of robot commands that will achieve the desired robot movement. This paper first examines what is meant by the concept of natural language understanding. Then a bottom-up development of a model of a robot system identifies the levels of control in a robot system and the role of software at each of these. This is related to the various models of software hierarchy that have been proposed by different authors and an essential deviation from these at the object level (or sub-task level) is identified. Finally, a new route is proposed that should be taken in defining the levels of software if intelligent programming of robots is to be achieved.