Search

In recent years, the integration of Internet of Things technologies in smart agriculture has become critical for sustainability and efficiency, to the extent that recent improvements have transformed greenhouse farming. This study investigated the complexity of IoT architecture in smart greenhouses by introducing a greenhouse language family (GreenH) that comprises three domain-specific languages designed to address various tasks in this domain. The purpose of this research was to streamline the creation, simulation, and monitoring of digital twins, an essential tool for optimizing greenhouse operations. A three-stage methodology was employed to develop the GreenH DSLs, a detailed metamodel for enhanced smart monitoring systems. Our approach used high-level metamodels and extended Backus–Naur form notation to define the DSL syntax and semantics. Through a comprehensive evaluation strategy and a selected language usability metrics, the expressiveness, consistency, readability, correctness, and scalability of the DSL were affirmed, and areas for usability improvement were highlighted. The findings suggest that GreenH languages hold significant potential for advancing digital twin modeling in smart agriculture. Future work should be aimed at refining usability and extending its application range. The anticipated integration with additional model-drive engineering and code generation tools will improve interoperability and contribute to digital transformation in the smart greenhouse domain and promote more sustainable food production systems. [ABSTRACT FROM AUTHOR]

Copyright of BABUR is the property of BABUR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of BABUR is the property of BABUR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, the integration of Internet of Things technologies in smart agriculture has become critical for sustainability and efficiency, to the extent that recent improvements have transformed greenhouse farming. This study investigated the complexity of IoT architecture in smart greenhouses by introducing a greenhouse language family (GreenH) that comprises three domain-specific languages designed to address various tasks in this domain. The purpose of this research was to streamline the creation, simulation, and monitoring of digital twins, an essential tool for optimizing greenhouse operations. A three-stage methodology was employed to develop the GreenH DSLs, a detailed metamodel for enhanced smart monitoring systems. Our approach used high-level metamodels and extended Backus–Naur form notation to define the DSL syntax and semantics. Through a comprehensive evaluation strategy and a selected language usability metrics, the expressiveness, consistency, readability, correctness, and scalability of the DSL were affirmed, and areas for usability improvement were highlighted. The findings suggest that GreenH languages hold significant potential for advancing digital twin modeling in smart agriculture. Future work should be aimed at refining usability and extending its application range. The anticipated integration with additional model-drive engineering and code generation tools will improve interoperability and contribute to digital transformation in the smart greenhouse domain and promote more sustainable food production systems.

Copyright of Journal of Dil Araştırmaları is the property of Journal of Dil Arastirmalari and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research work sets out to explore the major distinctions between Arabic and Bangla—the languages with unidentical origins. Comparing and analyzing the various aspects of these two languages requires huge linguistic expertise in the respective fields as it is a most complicated job for anyone to accomplish. Arabic and Bangla are two of the leading languages of the world, specially in terms of the number of speakers, tourism, religion and the growing demands in world affairs. As Arabic and Bangla are from unalike families of languages, they differ a lot in the word class, grammar, pronunciation, usage, writing style and so forth. In particular, the sentence structure in Arabic is divided into two types, such as, verbal i.e. V+S+C and nominal i.e. S+C; while the typical Bangla sentence pattern is inflexion-based i.e. S+C+V. Like any other vocalized language, Arabic does not have vowels in the alphabet which is recognized as an ‘abjad’ meaning a ‘consonantal alphabet’. Therefore, a syllable or word in Arabic is formed without the help of any vowels. However, Bangla has eleven vowels to constitute a syllable or word. Moreover, Arabic is read and written from right to left, whereas Bangla is from left to right. Despite all these differences, Arabic and Bangla have some similarities as well. For instance, they do not have any differences between the upper case and the lower case. Besides, Arabic and Bangla are both phonetic and rhotic languages. Nevertheless, there are a few more minor differences between Arabic and Bangla. Hence, this paper is intended to provide the learners, users, as well as teachers of the two languages with some important facts and features which are often faced, essentially in the areas of writing, speaking and translating. [ABSTRACT FROM AUTHOR]

Copyright of Tertium Linguistic Journal / Pólrocznik Jezykoznawczy Tertium is the property of Cracow Tertium Society for the Promotion of Language Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The origin of a people speaking a certain language usually only partly relates to the origin of people speaking a related language. Almost all peoples have diverse origins except maybe when they live in complete isolation. Hungarians also share a common history with Turkish, Slavic, German and Neo-Latin speaking peoples that is also confirmed by the loan words borrowed from these languages as a result of the mixing of people. Many ancient features of the language of our ancestors related to linguistic affinity have been lost or become faded over a series of contacts, while the influence of other languages may be detected not only in changes in vocabulary but also in different spheres of grammar. [ABSTRACT FROM AUTHOR]

Zero-shot multilingual fact-checking, which aims to discover and infer subtle clues from the retrieved relevant evidence to verify the given claim in cross-language and cross-domain scenarios, is crucial for optimizing a free, trusted, wholesome global network environment. Previous works have made enlightening and practical explorations in claim verification, while the zero-shot multilingual task faces new challenging gap issues: neglecting authenticity-dependent learning between multilingual claims, lacking heuristic checking, and a bottleneck of insufficient evidence. To alleviate these gaps, a novel Joint Prompt and Evidence Inference Network (PEINet) is proposed to verify the multilingual claim according to the human fact-checking cognitive paradigm. In detail, firstly, we leverage the language family encoding mechanism to strengthen knowledge transfer among multi-language claims. Then, the prompt turning module is designed to infer the falsity of the fact, and further, sufficient fine-grained evidence is extracted and aggregated based on a recursive graph attention network to verify the claim again. Finally, we build a unified inference framework via multi-task learning for final fact verification. The newly achieved state-of-the-art performance on the released challenging benchmark dataset that includes not only an out-of-domain test, but also a zero-shot test, proves the effectiveness of our framework, and further analysis demonstrates the superiority of our PEINet in multilingual claim verification and inference, especially in the zero-shot scenario. [ABSTRACT FROM AUTHOR]

All languages have a common, ontological nature, and this nature cannot be changed. Although there are some differences in the fictions of languages, the general course of this ontological nature is the same in all languages. Although we are talking about an ontological nature that is the same in all languages, the differences that exist between languages affect and determine the attitudes of societies that use this language. In another respect, history is a totality of social attitudes. Therefore, the language used by society can affect the attitude of that society. In other words, societies have an attitude in such a way that the language they use is foreseen. So much so that, beyond the fictional difference, even the presence or absence of a word in any language can be decisive of a social attitude. Of course, the presence or absence of a word is a small detail in the whole; but when the peculiar fictions of languages are evaluated as a whole, the effects of social attitudes on history, which is the totality, will be seen more clearly. In this study, first of all, the concept of "language family" will be focused on by giving the "definition of language". Then, the nature of Turkish will be discussed through the language family fiction and its reflections on history will be discussed. Turkish, English, Arabic and will be sampled throughout the study. [ABSTRACT FROM AUTHOR]

Objective To predict the pigmentation phenotypes of Chinese populations from different language families, analyze the differences and provide reference data for forensic anthropology and genetics. Methods The HIrisPlex-S multiplex amplification system with 41 loci related to pigmentation phenotypes was constructed in the laboratory, and 2 666 DNA samples of adult males of 17 populations from six language families, including Indo-European, Sino-Tibetan, Altaic, Hmong-Mien, Tai-Kadai and Austro-Asiatic language families distributed in different regions of China were genotyped. The pigmentation phenotype category of each individual was predicted using the online prediction system （https://HIrisPlex.erasmusmc.nl/）, and then the output data were statistically analyzed. Results About 1.92% of the individuals of Asian-European admixed populations from Indo-European and Altaic language families had blue eyes and 34.29% had brown or gold hair. The phenotypes of the color of eyes and hair of other populations had no significant difference, all individuals had brown eyes and black hair. There were differences in skin color of populations of different language families and geographical areas. The Indo-European language family had the lightest skin color, and the Austro-Asiatic language family had the darkest skin color; the southwestern minority populations had a darker skin color than populations in the plain areas. Conclusion The prediction results of pigmentation phenotype of Chinese populations are consistent with the perception of the appearance of each population, proving the reliability of the system. The color of eyes and hair are mainly related to ancestral components, while the skin color shows the differences between language families, and is closely related to geographical distribution of populations.

Zero-shot multilingual fact-checking, which aims to discover and infer subtle clues from the retrieved relevant evidence to verify the given claim in cross-language and cross-domain scenarios, is crucial for optimizing a free, trusted, wholesome global network environment. Previous works have made enlightening and practical explorations in claim verification, while the zero-shot multilingual task faces new challenging gap issues: neglecting authenticity-dependent learning between multilingual claims, lacking heuristic checking, and a bottleneck of insufficient evidence. To alleviate these gaps, a novel Joint Prompt and Evidence Inference Network (PEINet) is proposed to verify the multilingual claim according to the human fact-checking cognitive paradigm. In detail, firstly, we leverage the language family encoding mechanism to strengthen knowledge transfer among multi-language claims. Then, the prompt turning module is designed to infer the falsity of the fact, and further, sufficient fine-grained evidence is extracted and aggregated based on a recursive graph attention network to verify the claim again. Finally, we build a unified inference framework via multi-task learning for final fact verification. The newly achieved state-of-the-art performance on the released challenging benchmark dataset that includes not only an out-of-domain test, but also a zero-shot test, proves the effectiveness of our framework, and further analysis demonstrates the superiority of our PEINet in multilingual claim verification and inference, especially in the zero-shot scenario.

Copyright of Slavica Wratislaviensia is the property of Wroclaw University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Burkina Faso (BF) is a landlocked Sahelian country located in the middle of West Africa. Sixty-three local languages are spoken in BF. Despite this high diversity, the BF population remains poorly investigated, and updated forensic parameters with a large number of Y chromosome short tandem repeats (Y-STRs) are still missing. Herein, 447 DNA samples were typed for a cocktail of 29 Y-STR loci. None of these 447 individuals in total shared a common haplotype. The overall Y-STR haplotypes were successfully uploaded online on the Y-STR Haplotype Reference Database (YHRD) with the accession numbers YA004690 and YA004691. The main haplotype diversity was 0.9999999965, which is much higher than that obtained with 12 Y-STRs in a previous study. Haploid Match Probability for the whole dataset was 0.002237. The phylogenetic analysis of 24 ethnic groups of BF shows that the ethnic group named BISSA is closer to Gur speakers than Mande speakers, where they belong. In addition, genetic structure analysis of 49 African subpopulations sheds light on the fact that geographic proximity turns out to be one of the best predictors of genetic affinity between populations. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Forensic Medicine / Fayixue Zazhi is the property of Journal of Forensic Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Hyphenated adjectives are two words joined together with a hyphen that modify a noun. They function as a single unit of adjective. Such terms are hyphenated to avoid confusion or ambiguity. The hyphenated adjectives in English are little difficult to translate because the structural formation of these hyphenated adjectives are different and finding the equivalent structures in the target languages remains challenging. The paper has suggested alternate structures for the nine types of hyphenated adjectives discussed in the paper in four Indian languages, each representing a language family of India. The suggested equivalents will help in machine translation and developing artificial intelligence as well. Additionally, this helps to support and establish the fact that India is a linguistic area in some syntactic features also. The similarities in the translation of hyphenated adjective, further, strengthens the concept of 'India as a translation area'. [ABSTRACT FROM AUTHOR]

The paper is dedicated to the problem of determination of the essence of language union and language family in modern linguistics, which is considered important, because these terms are often used as absolute synonyms. The research is relevant due to the need to distinguish the features of languages that are inherited during their functioning within either language union or language family when these languages are compared. The research has been carried out in order to present the historical background of the problem and to justify the need for differentiation of language facts that allow relating languages to particular language union or language family. In order to fulfill the goal of this work, descriptive, comparative, and historical methods have been used. A range of examples has been provided to prove that some languages, mainly Slavonic and Baltic languages, form a language family rather than a language union, because a whole number of features in their systems are the heritage of their common Indo-European past. Firstly, it is necessary to take into account changes having either common or different nature in the system of particular languages; secondly, one must have a precise idea of what features in the phonetic and morphological systems of compared languages allow to relate them to language union or language family; thirdly, it must be determined whether the changes in compared languages are regular or of any other type. On the basis of the obtained results, the following conclusions have been drawn: language union and language family are two different types of relations between modern languages; they allow identifying both degree of similarity of these languages and causes of differences between them. It is most important that one should distinguish and describe the specific features of two basic groups of languages forming language family or language union. The results obtained during the analysis are very important for linguistics to differentiate language family from language union.