Japanese Linguistic Politeness as Speakers’ Rational Choice and Social Strategy

Japanese linguistic politeness is a commonly observed phenomenon and the speaker’s being linguistically polite is an expected social behavior in the Japanese society. Most previous studies of Japanese politeness describe such a polite social behavioral pattern at a superficial or observational level without exploring the linguistic nature of such a polite behavior or the speaker’s motivations for performing a polite speech act in a particular speech context. From some linguistic, sociolinguistic, psycholinguistic and sociological perspectives, this study defines “politeness” as the speaker’s rational choices and a social strategy in the Japanese culture beyond surface language forms themselves. This paper claims that so-called “polite” or “honorific” language forms as commonly employed by the speaker in various social interactions do not necessarily always indicate that such a speaker must be a polite person. The so-called “polite” language is “linguistic” in nature and is thus more about a particular language form itself than about the speaker himself/herself. This paper further claims that the speaker makes rational choices of particular polite language forms to realize his/her communicative intention with the outcomes as perceived. Thus, this study explores the relationship between polite language forms and their social, cultural, and pragmatic functions. It concludes that speakers in the same speech community are conscious of linguistic choices which conform to their normative views for the interaction types; there is no simple equation between polite forms and polite speakers, and speakers are rational actors in making linguistic choices

Japanese Adjective Conjugation Patterns and Sources of Difficulty in Foreign Language Learning

This paper is a study of the complexity of Japanese adjective conjugations in relation to sources of foreign language learning difficulty. It focuses on two types of adjectives: i-adjectives and na-adjectives and their conjugation patterns, including their respective morphological requirements for particular grammatical functions. This study regards knowledge of Japanese adjective conjugations as one of the levels of abstract lexical structure: morphological realization patterns. To explore sources of learner errors in producing Japanese adjective conjugations, the speech performance data are from two groups of adult speakers of American English learning Japanese as a foreign language. This study makes two claims: Any successful acquisition of a foreign language must involve the complete acquisition of not only foreign language lexical items but also its morphological realization patterns, and any successful foreign language learner must be able to use language-specific morphological realization patterns as surface devices in speech production. This study offers some pedagogical suggestions for successful acquisition of Japanese adjective conjugation patterns

The Bilingual Lemma Activation Model as a Comparative Approach to Codeswitching

This paper explores intrasentential Codeswitching (CS) as a commonly observed bilingual speech behavior. Different from surface-based models, it investigates CS at an abstract level by relating the nature and activity of the bilingual mental lexicon in bilingual speech production to the structural principles governing CS. The Matrix Language Frame (MLF) Model is adopted for describing some fundamental structural principles governing CS, and the Bilingual Lemma Activation Model (BLA) is proposed for explaining the linguistic motivations for CS. Based on the analysis of some naturally occurring CS instances involving various language pairs, this study supports the claim that one of the bilingual’s languages is activated as the Matrix Language (ML) and the other as the Embedded Language (EL), and content and system morphemes are unequally activated. It is the ML which provides the sentential frame for CS and the EL only provides content morphemes switched into this frame. It further argues that bilingual mental lexicon contains not only lexemes but also more abstract elements called “lemmas”, and lemmas in the bilingual mental lexicon are language-specific and such lemmas are in contact in CS. This study provides evidence that only conceptually activated EL lemmas can be switched into the ML sentential frame

Discovery of Xestophanopsis gen. n. from China and taxonomic revision of two species misplaced in Ceroptres Hartig, 1840 (Hymenoptera, Cynipoidea: Cynipidae)

In the present paper, we describe Xestophanopsis Pujade-Villar &Wang gen. n. to the tribe Diastrophini based on Ceroptres distinctusWang, Liu & Chen, 2012 and transfer Ceroptres distinctusWang, Liu&Chen, 2012 to Periclistus Foerster, 1869 as Periclistus setosus (Wang, Liu & Chen, 2012) comb. n. In addition, we report the first record of Periclistus capillatus Kovalev, 1968 from China, along with the first report and description of themale. Finally, we provide a taxonomic key to all Eastern Palaearctic species of the genus Periclistus

Microbial denitrification characteristics of typical decentralized wastewater treatment processes based on 16S rRNA sequencing

Despite the widespread application of decentralized wastewater treatment (WWT) facilities in China, relatively few research has used the multi-media biological filter (MMBF) facilities to investigate the microorganism characteristics. This study utilizes 16S rRNA high-throughput sequencing (HTS) technology to examine the microbial biodiversity of a representative wastewater treatment (WWT) system in an expressway service area. The pathways of nitrogen removal along the treatment route were analyzed in conjunction with water quality monitoring. The distribution and composition of microbial flora in the samples were examined, and the dominant flora were identified using LEfSe analysis. The FAPROTAX methodology was employed to investigate the relative abundance of genes associated with the nitrogen cycle and to discern the presence of functional genes involved in nitrogen metabolism. On average, the method has a high level of efficiency in removing COD, TN, NH3-N, and TP from the effluent. The analysis of the microbial community identified a total of 40 phyla, 111 classes, 143 orders, 263 families, and 419 genera. The phyla that were predominantly observed include Proteobacteria, Acidobacteria, Chloroflexi, Actinobacteria, Nitrospirae, Bacteroidetes. The results show that the system has achieved high performance in nitrogen removal, the abundance of nitrification genes is significantly higher than that of other nitrogen cycle genes such as denitrification, and there are six nitrogen metabolism pathways, primarily nitrification, among which Nitrospirae and Nitrospira are the core differentiated flora that can adapt to low temperature conditions and participate in nitrification, and are the dominant nitrogen removal flora in cold regions. This work aims to comprehensively investigate the diversity and functional properties of the bacterial community in decentralized WWT processes

The versatile application of cervicofacial and cervicothoracic rotation flaps in head and neck surgery

<p>Abstract</p> <p>Background</p> <p>The large defects resulting from head and neck tumour surgeries present a reconstructive challenge to surgeons. Although numerous methods can be used, they all have their own limitations. In this paper, we present our experience with cervicofacial and cervicothoracic rotation flaps to help expand the awareness and application of this useful system of flaps.</p> <p>Methods</p> <p>Twenty-one consecutive patients who underwent repair of a variety of defects of the head and neck with cervicofacial or cervicothoracic flaps in our hospital from 2006 to 2009 were retrospectively analysed. Statistics pertaining to the patients' clinical factors were gathered.</p> <p>Results</p> <p>Cheek neoplasms are the most common indication for cervicofacial and cervicothoracic rotation flaps, followed by parotid tumours. Among the 12 patients with medical comorbidities, the most common was hypertension. Defects ranging from 1.5 cm × 1.5 cm to 7 cm × 6 cm were reconstructed by cervicofacial flap, and defects from 3 cm × 2 cm to 16 cm × 7 cm were reconstructed by cervicothoracic flap. The two flaps also exhibited versatility in these reconstructions. When combined with the pectoralis major myocutaneous flap, the cervicothoracic flap could repair through-and-through cheek defects, and in combination with a temporalis myofacial flap, the cervicofacial flap was able to cover orbital defects. Additionally, 95% patients were satisfied with their resulting contour results.</p> <p>Conclusions</p> <p>Cervicofacial and cervicothoracic flaps provide a technically simple, reliable, safe, efficient and cosmetic means to reconstruct defects of the head and neck.</p

Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics

PurposeThis study aimed to investigate the value of a machine learning-based magnetic resonance imaging (MRI) radiomics model in predicting the risk of recurrence within 1 year following an acute ischemic stroke (AIS).MethodsThe MRI and clinical data of 612 patients diagnosed with AIS at the Second Affiliated Hospital of Nanchang University from March 1, 2019, to March 5, 2021, were obtained. The patients were divided into recurrence and non-recurrence groups according to whether they had a recurrent stroke within 1 year after discharge. Randomized splitting was used to divide the data into training and validation sets using a ratio of 7:3. Two radiologists used the 3D-slicer software to label the lesions on brain diffusion-weighted (DWI) MRI sequences. Radiomics features were extracted from the annotated images using the pyradiomics software package, and the features were filtered using the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. Four machine learning algorithms, logistic regression (LR), Support Vector Classification (SVC), LightGBM, and Random forest (RF), were used to construct a recurrence prediction model. For each algorithm, three models were constructed based on the MRI radiomics features, clinical features, and combined MRI radiomics and clinical features. The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC) were used to compare the predictive efficacy of the models.ResultsTwenty features were selected from 1,037 radiomics features extracted from DWI images. The LightGBM model based on data with three different features achieved the best prediction accuracy from all 4 models in the validation set. The LightGBM model based solely on radiomics features achieved a sensitivity, specificity, and AUC of 0.65, 0.671, and 0.647, respectively, and the model based on clinical data achieved a sensitivity, specificity, and AUC of 0.7, 0.799, 0.735, respectively. The sensitivity, specificity, and AUC of the LightGBM model base on both radiomics and clinical features achieved the best performance with a sensitivity, specificity, and AUC of 0.85, 0.805, 0.789, respectively.ConclusionThe ischemic stroke recurrence prediction model based on LightGBM achieved the best prediction of recurrence within 1 year following an AIS. The combination of MRI radiomics features and clinical data improved the prediction performance of the model