In the globalization era, some translation scholars are of the belief that the ongoing process of globaliza- tion among different and diverse languages and cultures brings about incomprehensibility in translation products. By contrast, some others believe that the globalization trend leads to comprehensible transla- tions. The present research investigates the comprehensibility of the Per...

Misconceptions of vehicle automation functionalities lead to either non-use or dangerous misuse assistant systems, harming the users’ experience by reducing potential comfort compromise safety. Thus, users must understand how and when use an system. In a preliminary online survey, we examined use, trust, perceived understanding modern systems. Despite remaining incomprehensibility (36–64%), exp...

The very incomprehensibility of the suicidal act has been occupying the minds of researchers and health professionals for a long time. Several theories of suicide have been proposed since the beginning of the past century, and a myriad of neurobiological studies have been conducted over the past two decades in order to elucidate its pathophysiology. Both neurobiology and psychological theories ...

Automatic evaluation of Machine Translation (MT) quality is essential to developing highquality MT systems. Various evaluation metrics have been proposed, and BLEU is now used as the de facto standard metric. However, when we consider translation between distant language pairs such as Japanese and English, most popular metrics (e.g., BLEU, NIST, PER, and TER) do not work well. It is well known ...

Concolic testing is widely regarded as the state-of-the-art technique in dynamic discovering and analyzing trigger-based behavior in software programs. It uses symbolic execution and an automatic theorem prover to generate new concrete test cases to maximize code coverage for scenarios like software verification and malware analysis. While malicious developers usually try their best to hide mal...

Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. Compared to the number of genes involved, available training data sets generally have a fairly small sample size in cancer type classification. These training data limitations constitute a challenge to certain classification methodologies. A reliable selection me...

The article is based on the dual concepts of theoretical incompleteness in systems science and incomprehensibility philosophy previously introduced literature. Issues relate to logical openness complexity models their nonequivalence necessary non-zippable incompletable multiplicity. This concerns quasi-ness phenomena constructivist nature models. Theoretically, considered different ways, such a...

The ability of artificial neural networks to learn and generalize complex relationships from a collection of training examples has been established through numerous research studies in recent years. The knowledge acquired by neural networks, however, is considered incomprehensible and not transferable to other knowledge representation schemes such as expert or rule-based systems. Furthermore, t...

The purpose of the paper is to analyze interrelations between notions one’s own and foreign in later Heidegger’s philosophy. It pointed out that Heidegger contextualized notion world by home its derivatives “homelessness” “homecoming” are great value his scrutiny proceeds from study peculiarities approach problem being considered be knot noted Heidegger, having deserted traditional ontology alr...

This article examines Russian jury instructions which have barely been treated or analyzed in terms of explanatory strategies employed expert-lay discourse where a set abstract concepts needs to be displayed way that enables lay audience understand them. The current study was thus motivated by the lack explicit guidance for interacting with persons courtroom trials, and challenges faced members...