More and more tech-savvy learners are expanding the language learning environment with mobile Assisted Language Learning (MALL).From the perspective of epistemological philosophy, this paper examines the relevance of the smartphone application effect, receptive vocabulary knowledge, and receptive language ability in the development of English vocabulary knowledge in Chinese college English learners. Fifty-four freshman English learners were divided into two groups. One group used a smartphone app, and the other used traditional memorization methods. The results showed that, first, there was a (...) significant difference in scores between the two groups, and the longer the experimental group used the app, the higher their scores on both long-term and short-term memory tests. Second, there is a high correlation and significant between the short-term and long-term vocabulary memory test scores of the two groups of students and the pre-test and post-test reading and listening scores. Thirdly, the role of motivation in learners' emotional factors may be related to the development of receptive vocabulary knowledge and receptive language skills. It is effective for freshmen of English universities in China to correctly use smartphone applications for vocabulary development. Vocabulary learning based on mobile devices positively impacts learners' emotional factors, so it is related to the increase of motivation. (shrink)

Irregularity may occur on the earth’s surface in the form of mountains due to the imperfection of the earth’s crust. To explore the influence of horizontally polarized shear waves on mountains, we considered the fluid-saturated porous medium over an orthotropic semi-infinite medium with rigid and soft mountain surfaces for wave propagation. The mountain surface is defined mathematically as a periodic function of the time domain. The physical interpretation of materials’ structure has been explained in rectangular Cartesian coordinate system originated at (...) the contact interface of layer and half-space. The displacement of the mountains has been derived by solving energy equations analytically. The influence of rigid and soft mountain surfaces on the phase velocity of shear waves has been demonstrated graphically. (shrink)

The Gypsies (a misnomer, derived from an early legend about Egyptian origins) defy the conventional definition of a population: they have no nation-state, speak different languages, belong to many religions and comprise a mosaic of socially and culturally divergent groups separated by strict rules of endogamy. Referred to as “the invisible minority”, the Gypsies have for centuries been ignored by Western medicine, and their genetic heritage has only recently attracted attention. Common origins from a small group of ancestors characterise the (...) 8–10 million European Gypsies as an unusual trans-national founder population, whose exodus from India played the role of a profound demographic bottleneck. Social and economic pressures within Europe led to gradual fragmentation, generating multiple genetically differentiated subisolates. The string of population bottlenecks and founder effects have shaped a unique genetic profile, whose potential for genetic research can be met only by study designs that acknowledge cultural tradition and self-identity. BioEssays 27:1084–1094, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

Recognition of sarcastic statements has been a challenge in the process of sentiment analysis. A sarcastic sentence contains only positive words conveying a negative sentiment. Therefore, it is tough for any automated machine to identify the exact sentiment of the text in the presence of sarcasm. The existing systems for sarcastic sentiment detection are limited to the text scripted in English. Nowadays, researchers have shown greater interest in low resourced languages such as Hindi, Telugu, Tamil, Arabic, Chinese, Dutch, Indonesian, etc. (...) To analyse these low resource languages, the biggest challenge is the lack of available resources, especially in the context of Indian languages. Indian languages are very rich in morphology which pose a greater challenge for the automated machines. Telugu is one of the most popular languages after Hindi among Indian languages. In this article, we have collected and annotated a corpus of Telugu conversation sentences in the form of a question followed by a reply for sarcasm detection. Further, a set of algorithms are proposed for the analysis of sarcasm in the corpus of Telugu conversation sentences. The proposed algorithms are based on hyperbolic features namely, Interjection, Intensifier, Question mark and Exclamation symbol. The achieved accuracy is 94%. (shrink)