Examining the Influence Mechanism of Customer Perceived Food Authenticity and Loyalty in the Ethnic Restaurant: Cultural Identity as a Moderation

The paper examines the structural relationships of customers’ authenticity perception on satisfaction and loyalty in the ethnic restaurant, cultural identity as moderation. A survey was conducted and the structural equation modeling analysis method was adopted. The research displays the following results: the perception of authenticity has significant direct impact on satisfaction and loyalty. The perception of authenticity has indirect impact on loyalty through satisfaction as well. And the directly effect on destination is more significant than indirect effect. Cultural identity has moderation between perceived authenticity and satisfaction. In order to realize the sustainable development of the ethnic restaurants, this paper put forward some suggestions: grasp the dimension of customers’ perception of authenticity and improve the satisfaction and loyalty of ethnic restaurants; maintain the authenticity, realize the cross - local operation of ethnic restaurants; highlight the sense of cultural identity and strengthen the “taste of hometown” in ethnic restaurants

Can Programming Languages Boost Each Other via Instruction Tuning?

When human programmers have mastered a programming language, it would be easier when they learn a new programming language. In this report, we focus on exploring whether programming languages can boost each other during the instruction fine-tuning phase of code large language models. We conduct extensive experiments of 8 popular programming languages (Python, JavaScript, TypeScript, C, C++, Java, Go, HTML) on StarCoder. Results demonstrate that programming languages can significantly improve each other. For example, CodeM-Python 15B trained on Python is able to increase Java by an absolute 17.95% pass@1 on HumanEval-X. More surprisingly, we found that CodeM-HTML 7B trained on the HTML corpus can improve Java by an absolute 15.24% pass@1. Our training data is released at https://github.com/NL2Code/CodeM.Comment: Work in progres

Etiology and Clinical Characteristics of Influenza-Like Illness (ILI) in Outpatients in Beijing, June 2010 to May 2011

BACKGROUND: Since May 2009, exposure of the population of Beijing, China to pH1N1 has resulted in an increase in respiratory illnesses. Limited information is available on the etiology and clinical characteristics of the influenza-like illness (ILI) that ensued in adults following the pH1N1 pandemic. METHODS: Clinical and epidemiological data of ILI in adults was collected. A total of 279 throat swabs were tested for twelve respiratory viruses using multiplex RT-PCR. Clinical characteristics of influenza A in outpatients versus test-negative patients were compared using Pearson's χ2 and the Mann-Whitney U test. 190 swabs were tested for pH1N1 by virus isolation. Consultation rates for ILI were compared between 2009 and 2010. RESULTS: One or two virus were detected in 29% of the samples. Influenza A virus (FLU-A) accounted for 22.9% (64/279). Other viruses were present at a frequency less than 3.0%. Cough was significantly associated with Influenza A virus infection (χ2, p<0.001). The positive rate of FLU-A was consistent with changes in the ILI rate during the same period and there was a significant reduction in the incidence of ILI in 2010 when compared to 2009. During the 2010-2011 influenza season, the incidence peaked in January 2011 in Beijing and north China. CONCLUSIONS: Exposure to pH1N1 had no impact on typical influenza seasonal peaks, although FLU-A remained the predominant virus for 2010 in Beijing. Symptomatically, cough was associated with FLU-A infection. The positive rate of influenza virus was consistent with changes in the ILI rate during the same period and there was a significant reduction in the incidence of ILI in 2010 when compared to that of 2009

Impact of clinicopathological factors on extended endocrine therapy decision making in estrogen receptor–positive breast cancer

PurposeIn our study, we aim to analyze the impact of clinicopathological factors on the recommendation of extended endocrine therapy (EET) in patients with ER+ breast cancer and to retrospectively validate the value of CTS5 in EET decision making.Patients and methodsThe retrospective analysis was performed in patients with ER+ breast cancer who have finished 4.5–5 years of adjuvant endocrine therapy and undergone MDT discussion from October 2017 to November 2019. Multivariate logistic regression was used to identify the independent factors for treatment recommendation. CTS5 was calculated for retrospective validation of the EET decision making.ResultsTwo hundred thirty-five patients were received; 4.5–5 years of adjuvant endocrine therapy were included in the study. Multivariate analysis suggested that age (OR 0.460, 95% CI 0.219–0.965, p = 0.04), pN (OR 39.350, 95% CI 9.831–157.341, P &lt; 0.001), and receipt of chemotherapy (OR 3.478, 95% CI 1.336–9.055, p = 0.011) were independent predictors for the recommendation of EET. In the previously selective estrogen receptor modulator (SERM)–treated subgroup, pN and receipt of chemotherapy were independent predictors for the recommendation of EET. In the previously AI-treated subgroup, age, pN, and receipt of chemotherapy were independent predictors. Adverse events did not affect the recommendation in patients previously treated with adjuvant endocrine treatment nor in the previously SERM or AI-treated subgroups. CTS5 (OR 21.887, 95% CI 2.846–168.309, p = 0.003) remained an independent predictor for the recommendation of EET.ConclusionsOur study indicated that age, lymph nodal status, and receipt of chemotherapy were independent predictors for the recommendation of EET. The application of the CTS5 on EET decision making might be valuable among ER+ breast cancer patients

Targeting glutamine metabolic reprogramming of SLC7A5 enhances the efficacy of anti-PD-1 in triple-negative breast cancer

BackgroundTriple-negative breast cancer (TNBC) is a heterogeneous disease that is characterized by metabolic disruption. Metabolic reprogramming and tumor cell immune escape play indispensable roles in the tumorigenesis that leads to TNBC.MethodsIn this study, we constructed and validated two prognostic glutamine metabolic gene models, Clusters A and B, to better discriminate between groups of TNBC patients based on risk. Compared with the risk Cluster A patients, the Cluster B patients tended to exhibit better survival outcomes and higher immune cell infiltration. In addition, we established a scoring system, the glutamine metabolism score (GMS), to assess the pattern of glutamine metabolic modification.ResultsWe found that solute carrier family 7 member 5 (SLC7A5), an amino acid transporter, was the most important gene and plays a vital role in glutamine metabolism reprogramming in TNBC cells. Knocking down SLC7A5 significantly inhibited human and mouse TNBC cell proliferation, migration, and invasion. In addition, downregulation of SLC7A5 increased CD8+ T-cell infiltration. The combination of a SLC7A5 blockade mediated via JPH203 treatment and an anti-programmed cell death 1 (PD-1) antibody synergistically increased the immune cell infiltration rate and inhibited tumor progression.ConclusionsHence, our results highlight the molecular mechanisms underlying SLC7A5 effects and lead to a better understanding of the potential benefit of targeting glutamine metabolism in combination with immunotherapy as a new therapy for TNBC

Response of fermentation quality and microbial community of oat silage to homofermentative lactic acid bacteria inoculation

Oat (Avena sativa L.) is one of the important forage crops in the world. However, oat grown in Southwest China has higher moisture content and their preservation face significant challenges. In addition, existing commercial lactic acid bacteria (LAB) have poor fermentation effects in hot and humid regions. Consequently, the current study investigated the response of oat fermentation quality and microbial community to self-selected LAB inoculation. The treatments were: CK, sterilized water; LP694, Lactobacillus plantarum 694; LR753, Lactobacillus rhamnosus 753; and LPLR, LP694 combined with LR753, followed by 1, 3, 7, 14, and 60 days (d) of fermentation. The results showed that LAB inoculation significantly raised the lactic acid content, and decreased the level of pH value, acetic acid, and ammonia-N in oat silage. The LR753 group had a significantly higher (p &lt; 0.05) lactic acid content (60.95 g kg–1 DM), and lower pH value (3.95) and ammonia-N content (10.1 g kg–1 DM) followed by the LPLR group. The LR753 showed lower NDF (54.60% DM) and ADF (39.73% DM) contents than other groups. The Lactobacillus was a prevalent genus in LAB-treated groups, and its relative abundance reached maximum in LP694 (69%) on day 3, while in the LR753 group (72%) on 60 days. The Lactobacillus rhamnosus, Lactobacillus plantarum, and Lactobacillus fermentum became the dominant species in LAB-treated groups with fermentation time. The Lactobacillus genus was positively correlated with WSC (R = 0.6, p &lt; 0.05), while negatively correlated with pH (R = −0.5, p &lt; 0.05), and BA (R = −0.5, p &lt; 0.01). Overall, the LR753 group had better fermentation quality and preservation of nutritional components providing theoretical support and guidance for future oat silage production in Southwest China

Effect of storage time on the silage quality and microbial community of mixed maize and faba bean in the Qinghai-Tibet Plateau

Tibetan Plateau is facing serious shortage of forage in winter and spring season due to its special geographical location. Utilization of forages is useful to alleviate the forage shortage in winter and spring season. Consequently, the current study was aimed to evaluate the influence of storage time on the silage quality and microbial community of the maize (Zea mays L.) and faba bean (Vicia faba L.) mixed silage at Qinghai-Tibet Plateau. Maize and faba bean were ensiled with a fresh weight ratio of 7:3, followed by 30, 60, 90, and 120 days of ensiling. The results showed the pH value of mixed silage was below 4.2 at all fermentation days. The LA (lactic acid) content slightly fluctuated with the extension of fermentation time, with 33.76 g/kg DM at 90 days of ensiling. The AA (acetic acid) and NH3-N/TN (ammonium nitrogen/total nitrogen) contents increased with the extension of fermentation time and no significantly different between 90 and 120 days. The CP (crude protein) and WSC (water soluble carbohydrate) contents of mixed silage decreased significantly (P &lt; 0.05) with ensiling time, but the WSC content remained stable at 90 days. The Proteobacteria was the predominant phyla in fresh maize and faba bean, and Pseudomonas and Sphingomonas were the predominant genera. After ensiling, Lactobacillus was the prevalent genus at all ensiling days. The relative abundance of Lactococcus increased rapidly at 90 days of ensiling until 120 days of fermentation. Overall, the storage time significant influenced the silage fermentation quality, nutrient content, and microbial environment, and it remained stable for 90 days of ensiling at Qinghai-Tibet Plateau. Therefore, the recommended storage time of forage is 90 days in Qinghai-Tibet Plateau and other cool areas

The Interactive Effects of Ammonia and Microcystin on Life-History Traits of the Cladoceran Daphnia magna: Synergistic or Antagonistic?

The occurrence of Microcystis blooms is a worldwide concern that has caused numerous adverse effects on water quality and lake ecology. Elevated ammonia and microcystin concentrations co-occur during the degradation of Microcystis blooms and are toxic to aquatic organisms; we studied the relative and combined effects of these on the life history of the model organism Daphnia magna. Ammonia and microcystin-LR treatments were: 0, 0.366, 0.581 mg L−1 and 0, 10, 30, 100 µg L−1, respectively. Experiments followed a fully factorial design. Incubations were 14 d and recorded the following life-history traits: number of moults, time to first batch of eggs, time to first clutch, size at first batch of eggs, size at first clutch, number of clutches per female, number of offspring per clutch, and total offspring per female. Both ammonia and microcystin were detrimental to most life-history traits. Interactive effects of the toxins occurred for five traits: the time to first batch of eggs appearing in the brood pouch, time to first clutch, size at first clutch, number of clutches, and total offspring per female. The interactive effects of ammonia and microcystin appeared to be synergistic on some parameters (e.g., time to first eggs) and antagonistic on others (e.g., total offspring per female). In conclusion, the released toxins during the degradation of Microcystis blooms would result, according to our data, in substantially negative effect on D. magna

Neuroimaging biomarkers for noninvasive brain stimulation in Mal de Débarquement syndrome

This dissertation summarizes my work to identify biomarkers for neuromodulation treatment in Mal de Débarquement Syndrome (MdDS) using resting state EEG and fMRI. Biomarkers that are associated with the symptom changes after stimulations can potentially guide development and selection of effective treatment, therefore expediting the process of patients getting access to beneficial treatment. I have developed a data-driven method to extract and quantify the functional connectivity of resting-state brain networks as biomarkers. Through simultaneously acquired resting-state EEG and fMRI, I have identified response biomarkers at the network level across three different protocols (i.e., 10-Hz/1-Hz repetitive transcranial magnetic stimulation (rTMS), continuous theta burst stimulation (cTBS) and transcranial alternating current stimulation (tACS)). Specifically, my work have revealed that the visual network and the default mode network were clinically relevant to the symptom changes and potentially important indicators for optimizing the stimulation target. I have also integrated simultaneous EEG and fMRI data to demonstrate the validity of EEG-network-based biomarkers. The EEG-informed fMRI has shown consistent synchronization with EEG networks in response to the repetitive transcranial magnetic stimulation. Furthermore, the entorhinal-cortex-seeded fMRI connectivity revealed that the stimulation-related changes in the left precuneus and cingulate gyrus have normalized the pathological differences in MdDS patients when compared with healthy controls. This part of analysis also has suggested the mechanism of noninvasive brain stimulation via modifying the connectivity patterns in disease-related networks. Finally, I explored the feasibility of customizing the stimulation parameters in cTBS and tACS based on the imaging biomarkers. Through classifying targets into optimal vs. non-optimal, my analysis revealed that the transient EEG after a single, try-out administration of cTBS stimulation can signify the optimal stimulation targets. Furthermore, the response biomarkers showed distinct patterns that are sensitive to various tACS stimulation parameters, including frequencies and phases. Especially, the tACS based on the prior knowledge of individual alpha frequency is most effective in reducing symptoms, which again emphasized the importance of stimulation paradigm tailored to individuals. Overall, the findings of my dissertation work have demonstrated the merit of multi-modal neuroimaging in noninvasive brain stimulation, in identifying the response biomarkers and understanding the mechanism of treatment. The integration of neuroimaging with stimulation will be able to optimize the individual treatment effect via personalizing the brain stimulation through a biomarker-based, closed-loop approach