Syntactic Configuration of Code-Switching between Indonesian and English: Another Perspective on Code-Switching Phenomena

Code-switching, an alternation or mixing one language with another, has been an unmarked phenomenon for a multilingual society. In Indonesia, this phenomenon nowadays lives and thrives among the people. This study discusses the syntactic configuration of code-switching between Indonesian and English in terms of switched segments, points, and changing types. The study is descriptive qualitative in nature. The data comprise 25 recording hours of natural speech produced by 119 Indonesians in 4 types of interaction: seminars, meetings, TV dialogues, and chitchats conducted in six metropolitan cities—Jakarta, Bandung, Semarang, Yogyakarta, Surabaya, and Makassar. The sample drawn purposively comprises 550 switching discourses consisting of 666 switching corpora. It is found that nouns serving as subjects, predicators, objects of verbs, and prepositions to be the most dominant switched segments. A switch between Indonesian noun phrases and English noun phrases, Indonesian verbs or prepositions, and English objective noun phrases, Indonesian conjunctions, and English conjoined noun phrases or clauses is the most popular switched points, and intercausal switching including intraporal and interlexical switching is the most frequent switching type of code-switching between Indonesian and English. ANOVA Friedman’s test confirms that these patterns are the same among the four types of discourses, implying that such a syntactic configuration of Indonesia-English code-switching is universally applicable to any situation and type of interaction. In conclusion, the domination of nouns indicates that the syntactic configuration of Indonesian-English code-switching mainly occurs at minor constituents such as within a clause, phrase, and word boundaries. This demonstrates that code-switching between Indonesian and English is more likely to occur intrasentential rather than intersentential, which is the most popular anywhere in literature.

The Chemical Complexity of e-Cigarette Aerosols Compared With the Smoke From a Tobacco Burning Cigarette

Background: As e-cigarette popularity has increased, there is growing evidence to suggest that while they are highly likely to be considerably less harmful than cigarettes, their use is not free of risk to the user. There is therefore an ongoing need to characterise the chemical composition of e-cigarette aerosols, as a starting point in characterising risks associated with their use. This study examined the chemical complexity of aerosols generated by an e-cigarette containing one unflavored and three flavored e-liquids. A combination of targeted and untargeted chemical analysis approaches was used to examine the number of compounds comprising the aerosol. Contributions of e-liquid flavors to aerosol complexity were investigated, and the sources of other aerosol constituents sought. Emissions of 98 aerosol toxicants were quantified and compared to those in smoke from a reference tobacco cigarette generated under two different smoking regimes.Results: Combined untargeted and targeted aerosol analyses identified between 94 and 139 compounds in the flavored aerosols, compared with an estimated 72–79 in the unflavored aerosol. This is significantly less complex (by 1-2 orders of magnitude) than the reported composition of cigarette smoke. Combining both types of analysis identified 5–12 compounds over and above those found by untargeted analysis alone. Gravimetrically, 89–99% of the e-cigarette aerosol composition was composed of glycerol, propylene glycol, water and nicotine, and around 3% comprised other, more minor, constituents. Comparable data for the Ky3R4F reference tobacco cigarette pointed to 58–76% of cigarette smoke “tar” being composed of minor constituents. Levels of the targeted toxicants in the e-cigarette aerosols were significantly lower than those in cigarette smoke, with 68.5–>99% reductions under ISO 3308 puffing conditions and 88.4–>99% reductions under ISO 20778 (intense) conditions; reductions against the WHO TobReg 9 priority list were around 99%.Conclusion: These analyses showed that the e-cigarette aerosols contain fewer compounds and at significantly lower concentrations than cigarette smoke. The chemical diversity of an e-cigarette aerosol is strongly impacted by the choice of e-liquid ingredients.

Adulteration of Milk: A Review

Milk is a good nutritious drink and is eaten for drinking as such, as well as by milk products, by a majority of the population worldwide. The practice of milk adulteration, however, constantly reduces its quality and can introduce hazardous substances into the dairy supply chain which endangers the health of consumers. Various cases of milk adulteration have been reported globally, in which substances such as extraneous water, foreign proteins, whey proteins, melamine and urea, vegetable or animal fats, plus many minor constituents of milk fat were added as possible adulterants in milk and milk products. This article provides some information about adulteration of milk and their detection process.