Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary Intake of Adult Residents in Luxembourg Taking Part in Two Cross-Sectional Studies—ORISCAV-LUX (2007–2008) and ORISCAV-LUX 2 (2016–2017)

Background: A balanced diet is an important lifestyle component and has been associated with a reduced risk of chronic diseases. Objectives: To assess dietary intake of adult residents in Luxembourg taking part in two population-based cross-sectional studies (ORISCAV-LUX, 2007–2008 and ORISCAV-LUX 2, 2016–2017). Methods: Dietary intake of the study participants (1242 in 2007/08 and 1326 in 2016/17), 25–69 years old, were evaluated using food-frequency questionnaires (134 items in 2007/2008 and 174 items in 2016/2017) according to the French ANSES-CIQUAL food composition database. Both food-group- and nutrient-based analyses were conducted. Results: Dietary patterns in ORISCAV-LUX 2, 2016–2017, were characterized by an increase in the estimated marginal means (EMM) of the intake of energy, total fat, saturated fatty acids, alcohol, and decreased EMM of total carbohydrates, magnesium, and calcium compared to 2007/08. We also observed an increased EMM of the intake of protein-rich food items and ready-to-eat foods/fast foods, together with a decreased intake of grains, dairy products, and vegetables (all p-values <0.05, linear mixed models). The intake of most micronutrients was stable or slightly increased in ORISCAV-LUX 2 vs. ORISCAV-LUX, except for the drop in magnesium and calcium, and generally met recommendations, in particular, EFSA population reference intakes (PRI), except for vitamin D. Conclusions: Though most micronutrient recommendations were met, nutrient consumption in terms of high energy, total fat, and sodium, as well as low carbohydrates, were not aligned with recommendations for balanced eating.
Estimation of the density and cumulative distribution functions of the exponentiated Burr XII distribution

Abstract The exponentiated Burr Type XII (EBXII) distribution has wide applications in reliability and economic studies. In this article, the estimation of the probability density function and the cumulative distribution function of EBXII distribution is considered. We examine the maximum likelihood estimator, the uniformly minimum variance unbiased estimator, the least squares estimator, the weighted least squares estimator, the maximum product spacing estimator, the Cramér–von-Mises estimator, and the Anderson–Darling estimator. We derive analytical forms for the bias and mean square error. A simulation study is performed to investigate the consistency of the suggested methods of estimation. Data relating to the wind speed and service times of aircraft windshields are used with the studied methods. The simulation studies and real data applications have revealed that the maximum likelihood estimator performs more efficiently than its remaining counterparts.
Using the CDIO Syllabus 2.0 to Assess Leadership Self-efficacy

This paper presents a method of using the CDIO Syllabus as a structure for the development of self-efficacy measures for the assessment of the Gordon Engineering Leadership Program. It begins with a brief review of the increasing interest experiential learning in engineering education, and provides an overview of Bandura’s (1986, 1997) self-efficacy concept and his guidance on the development of items that can be considered as a set representing a particular self-efficacy domain. The paper then introduces the MIT Gordon Engineering Leadership (GEL) Program, maps its learning objectives found at the 4 th level of the CDIO Syllabus 2.0, and provides examples of corresponding self-efficacy scale items. The third section presents the findings of a pre-test/post-test design that provides evidence for the relative success of the Gordon program.
Supervisors of International Occupational Therapy Students on Clinical Placement: Perceived Tensions and Hidden Expectations

ABSTRACT This study aimed to explore supervisors’ perceptions of working with international occupational therapy students in Sweden. Learning in clinical placements abroad may be challenging for international students and supervisors. Yet, most research has focused on exploring students’ experiences of international programs and little has been reported from the supervisors’ perspective. A qualitative descriptive design was utilized. Six clinical supervisors recruited through one of the largest educational institutions in Sweden. Thematic analysis was used to analyse the data. The findings were categorized into four themes; “Balancing students’ expectations and formal learning possibilities”, “Navigating students’ need for understanding differences in resources, legislation, and other factors differing from their context”, “Acknowledging students’ different perceptions of dialogue and reflection”, and “Being aware of the impact of socio-cultural situations on students’ learning”. This study provides valuable insights that support understanding of cultural differences and expectations that could be applied to international students’ clinical practice.
Valence Secession? Voting Shocks and Independence Support in Scotland

National identifications, cues from political actors, and cost-benefit calculations have been pointed as the main determinants of secession preferences. However, a recent surge in independence support in Scotland suggests that abrupt political changes may also affect these preferences: Brexit and the differentiated management of the Covid-19 pandemic by the UK and the Scottish governments are named as causes of the first independence sustained majority registered by polling in Scotland. In this article, I discuss how voting shocks may affect the levels of support for independence, revise the evidence that sustains these claims, and analyse how they have changed the profile of the pro-independence voter. The effect of these questions has substantial implications for a possible second independence referendum in Scotland, as well as for the broader debate on the sources of secession support.
Product Modern Design Platform to Support Product Development in Distributed Resource Environment

The manufacturers are competing against each other based on their development ability. A manufacturer who wants to do better than others must emphasize its ability of product development. The resources that product development relies on are more distributed than ever along with the varying of the global design environment. So more and more resources outside of enterprises are needed during the product design process. The platform supporting the product modern design under the circumstance of distributed resources will meet the requirement of the enterprise’s product design and development under such conditions. The platform will also simplify the implementation on the integral of the IT support system for design resources outside of enterprises. In this paper the characteristics and supporting technologies of product design platform, which supporting the distributed design resource circumstance and centering on the enterprise, are studied. The building method of the platform is presented and a prototype of the product design platform is developed. Three subsystems are included in the platform. They are the product requirements analysis system, the product design planning system and the knowledge management system. Many design tasks can be supported on the platform, such as product requirement analysis, concept design, detail design, experiment, and maintenance knowledge acquirement. The distributing, implementing, tracking and managing of product lifecycle tasks can also be supported on the platform. The distributed design resources could be sealed as application components to provide design services. Design work flow model and knowledge flow model are built and controlled through the FIPER software. The design knowledge is managed based on the ontology theory. The virtual prototype of a complex product can be built and run more easily with the design platform. The process of building a virtual prototype could be described simply as following. Firstly the distributed models are sealed as application components. Then the components are published in the FIPER environment. Finally, the virtual prototype is built in the form of design work flow model in which the distributed components are integrated. To simulate the coupling of multi-discipline behaviors in a complex product design, the coupling formula is proposed to express the relations of different discipline behaviors. Based on the coupling formula, the coupling simulation can be run on the platform. Finally, a lifecycle performance prototype of an internal combustion engine is developed through the platform to verify the platform’s functions.Copyright © 2008 by ASME
RYR2 mutation in non‐small cell lung cancer prolongs survival via down‐regulation of DKK1 and up‐regulation of GS1‐115G20.1: A weighted gene Co‐expression network analysis and risk prognostic models

Abstract RYR2 mutation is clinically frequent in non‐small cell lung cancer (NSCLC) with its function being elusive. We downloaded lung squamous cell carcinoma and lung adenocarcinoma samples from the TCGA database, split the samples into RYR2 mutant group (n = 337) and RYR2 wild group (n = 634), and established Kaplan‐Meier curves. The results showed that RYR2 mutant group lived longer than the wild group (p = 0.027). Weighted gene co‐expression network analysis (WGCNA) of differentially expressed genes (DEGs) yielded prognosis‐related genes. Five mRNAs and 10 lncRNAs were selected to build survival prognostic models with other clinical features. The AUCs of 2 models are 0.622 and 0.565 for predicting survival at 3 years. Among these genes, the AUCs of DKK1 and GS1‐115G20.1 expression levels were 0.607 and 0.560, respectively, which predicted the 3‐year survival rate of NSCLC sufferers. GSEA identified an association of high DKK1 expression with TP53, MTOR, and VEGF expression. Several target miRNAs interacting with GS1‐115G20.1 were observed to show the relationship with the phenotype, treatment, and survival of NSCLC. NSCLC patients with RYR2 mutation may obtain better prognosis by down‐regulating DKK1 and up‐regulating GS1‐115G20.1.
Truncated Models for Probabilistic Weighted Retrieval

Existing probabilistic retrieval models do not restrict the domain of the random variables that they deal with. In this article, we show that the upper bound of the normalized term frequency (tf) from the relevant documents is much smaller than the upper bound of the normalized tf from the whole collection. As a result, the existing models suffer from two major problems: (i) the domain mismatch causes data modeling error, (ii) since the outliers have very large magnitude and the retrieval models follow tf hypothesis, the combination of these two factors tends to overestimate the relevance score. In an attempt to address these problems, we propose novel weighted probabilistic models based on truncated distributions. We evaluate our models on a set of large document collections. Significant performance improvement over six existing probabilistic models is demonstrated.
The Design of Knowledge-Based Sentiment Analysis to Detect Depression Based on Youths' Song Listening Behaviour: A Preliminary Study

Depression has become one of the significant social issues that have arisen in society. According to the World Health Organization (WHO), depression is now a common mental disorder affecting 264 million people worldwide. Depression can cause disability around the world and contributes significantly to the global burden of disease. There are several ways to treat depression, and most of them are related emotionally. Music therapy has been widely encouraged as an effective treatment for depression and anxiety. This is because music has always been a way to attach sentimentally to human feelings. Many studies have been carried out to show how songs can help treat depression, but there are no clear studies that show how songs can indicate or detect depression. This study aims to analyse the sentiments of songs users listen to and monitor their mood for fourteen days consecutively to detect depressive mood using a knowledge-based depression detector. An inspirational message to calm the user will be displayed if depression is detected to avoid a severe level. The design and implementation of the software are tested by two academic staff and is found to be correctly developed, and the functionalities are as intended in the specifications and design.
Alterations of Suckling Piglet Jejunal Microbiota Due to Infection With Porcine Epidemic Diarrhea Virus and Protection Against Infection by Lactobacillus salivarius

The high mortality of neonatal piglets due to porcine epidemic diarrhea virus (PEDV) infection has caused huge economic losses to the pig industry. The intestinal microbiota is an important barrier against invaders entering the gastrointestinal route. In this study, we examined the differences between intestinal microbiota of PEDV-infected and healthy piglets. According to the viral copy numbers, 16 crossbred (Landrace-Yorkshire) piglets were divided into three groups: uninfected, low virus load, and high virus load groups. Next, 16S rRNA sequencing was performed to determine the microbiota composition in jejunal content and jejunal mucosal samples from the three groups. PEDV infection induced an imbalance in the microbiota of both jejunal content and jejunal mucosa. The abundance of phylum Firmicutes was higher in uninfected piglets than in infected piglets, whereas the abundance of Proteobacteria was lower in uninfected piglets. Principal coordinate analysis showed significant separation of jejunal microbiota between different groups. Linear discriminant analysis (LDA) effect size (LEfSe) identified Lactobacillus salivarius as a potential biomarker among three groups at the level of species. Then, in vitro, L. salivarius was able to suppress the infection of PEDV to IPEC-J2 cells and decreased the expression of GRP78 (Glucose-regulating protein 78). In addition, we detected the mRNA expression of genes involved in the FAK/PI3K/Akt signaling pathway. When IPEC-J2 cells were treated with L. salivarius before PEDV infection, the mRNA expression levels of ITGA1, ITGA5, ITGB5, FAK, PIK3R1, PIK3CA and AKT1 were significantly higher than those in the control cells (without treatment) at different times post-infection, indicating that L. salivarius may upregulate the FAK/PI3K/Akt signaling pathway in IPEC-J2 cells to resist PEDV infection. In summary, PEDV infection altered microbial communities in both jejunal content and jejunal mucosa. L. salivarius has a protective effect against PEDV infection in IPEC-J2 cells. This study provides a potentially effective strategy to prevent the occurrence and control the spread of PED in the pig production.
Design and performance of an insect-inspired nano air vehicle

This work reports the structural design, actuation and performance of an insect-inspired nano air vehicle. For this purpose, an original design concept of resonant wings using indirect actuation and concise transmission to allow large and symmetrical bending angles, passive wing torsion and to minimize energy expenditure is presented. A simplified analytical model and a numerical approach for the transmission between the actuator and the wings are then proposed to validate the design. The all-polymer prototypes were obtained using micromachining SU-8 photoresist technology. An electromagnetic actuator was added to control the vibrating amplitudes and create passive wing torsion. The actuator was optimized to make it more effective whilst at the same time minimizing its mass. Prototypes with a global wingspan of 3.5 cm and a mass of 22 mg due to the structure and actuator are presented. Bending amplitudes of the wings up to 60° were measured with these prototypes. The resonant frequency of the wings varied according to the design and mass. It was demonstrated that it is possible to obtain, without an important driving mechanism a very promising kinematics.
The influence of job insecurity and person-job fit on turnover intention mediated by job satisfaction

This study aims to examine and analyze the influence of job insecurity and person-job fit on turnover intention mediated by job satisfaction. The population of this study are permanent and contract employees of Pamella 6 and 7 Supermarket Yogyakarta, with the number of 148 people. From a total of 148 employees from management to subordinates, 108 employees of Pamella 6 and 7 Supermarket Yogyakarta become the research sample. The data analysis used in this study is path analysis using Partial Least Square (PLS). The results of this study prove that: (1) Job insecurity negatively and significantly influences job satisfaction of employees in Pamella 6 and 7 Supermarket Yogyakarta; (2) Person-job fit positively and significantly influences job satisfaction of employees in Pamella 6 and 7 Supermarket Yogyakarta; (3) Job satisfaction negatively and significantly influences turnover intention of employees in Pamella 6 and 7 Supermarket Yogyakarta; (4) Job satisfaction is able to mediate the relationship between job insecurity and turnover intention of employees in Pamella 6 and 7 Supermarket Yogyakarta; and (5) Job satisfaction is able to mediate the relationship between person-job fit and turnover intention of employees in Pamella 6 and 7 Supermarket Yogyakarta.
Early postoperative functional outcomes following transoral surgery for oropharyngeal cancer: A systematic review

There has been increased interest in the use of transoral surgery (TOS) for the treatment of oropharyngeal cancer (OPC). This systematic review summarizes the available evidence for validated functional outcomes following TOS for OPC, within the early postoperative period. Key databases were searched. Primary TOS resections of human subjects were included. Validated functional outcomes extracted included instrumental assessment, clinician rated, and patient reported measures. Database searches yielded 7186 titles between 1990 and December 2020. Full‐text articles were obtained for 296 eligible studies, which were screened and a resulting 14 studies, comprising 665 participants were included in the review. Oropharyngeal dysfunction following TOS was observed across all three categories of outcome measures (OMs) reported and was dependent on pretreatment function, T‐classification, and tumor volume. Future investigations should include optimal OMs to be used in the postoperative setting to allow for conclusive comparisons.
A peptidoform based proteomic strategy for studying functions of post‐translational modifications

Protein post‐translational modifications (PTMs) generate an enormous, but as yet undetermined, expansion of the produced proteoforms. In this Viewpoint, we firstly reviewed the concepts of proteoform and peptidoform. We show that many of the current PTM biological investigation and annotation studies largely follow a PTM site‐specific rather than proteoform‐specific approach. We further illustrate a potentially useful matching strategy in which a particular “modified peptidoform” is matched to the corresponding “unmodified peptidoform” as a reference for the quantitative analysis between samples and conditions. We suggest this strategy has the potential to provide more directly relevant information to learn the PTM site‐specific biological functions. Accordingly, we advocate for the wider use of the nomenclature “peptidoform” in future bottom‐up proteomic studies.
Protective Effect of Adalimumab on Diabetic Nephropathy by Regulating TNF-α Signal Pathway

Background: To evaluate the inhibitory effect of adalimumab on diabetic nephropathy (DN) through animal models. Methods: We carried out the study in Weifang People’s Hospital, Weifang 261041, China in December 2020. Streptozotocin was used to induce DN in model animal Sprague-Dawley (SD) rats. The DN animal model was given treatment with adalimumab, and the inhibitory effect of adalimumab on the development process of DN was evaluated by detecting changes in blood glucose and urinary albumin levels. Meanwhile, the content of UN, Cr and CysC of the blood in different experimental groups was tested by weighing the ratio of kidney and performing ELISA to evaluate the protective effect of adalimumab on kidney of DN animal model. In addition, the changes in the transcription and translation levels of tumor necrosis factor alpha (TNF-α) and its downstream regulatory factors MCP-1 and NF-kB in kidney of different experimental groups were detected by fluorescence quantitative PCR and Western blot tests to further reveal the molecular mechanism of adalimumab inhibiting the diabetic nephropathy. Results: adalimumab could significantly downregulate blood glucose and urinary albumin levels (P <0.05). The renal body weight ratio and the contents of UN, Cr and Cysc in blood in the adalimumab group were significantly lower than those in the placebo group (P <0.05). Meanwhile, adalimumab could significantly downregulate the expression of these molecules (P <0.05). Conclusion: adalimumab could exert its therapeutic effect on diabetic nephropathy through its specific targeting TNF-α signaling pathways.
USING SUPERVISED CLUSTERING TECHNIQUE TO CLASSIFY RECEIVED MESSAGES IN 137 CALL CENTER OF TEHRAN CITY COUNCIL

Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is planning to reduce the waiting time of customers, forwarding their messages to the appropriate service manager to increase service quality. The city council is currently using a manual approach dispatching textual request messages. Since this process is very similar to supervised clustering concept, in this study, we applied the Naive Bayes algorithm, which is one of the most common algorithms in the supervised clustering arena to classify received messages regarding their subjects. The performance results of the proposed technique indicate its high efficiency in clustering the received messages with 98% accuracy.
Germany’s benchmark status in the Eurozone

ABSTRACT Since the middle of the 2000s, the German 10-year government bond has been generally accepted financial benchmark of the Eurozone. The article analyzes the institutional structures that have contributed to German 10-year bonds becoming the unquestioned Eurozone benchmark and the institutional privileges with which this central position on the financial markets is attended. The aim of this article is to understand why German bonds became the benchmark of the Eurozone and how it affects the structure of the financial markets today. By doing so, this article seeks to develop an institutional understanding of the power structure on the financial markets. It will be shown that that Germany’s benchmark status is not the result of economic factors, but of ongoing cognitive and normative discourses. The article complements the economic approach with an institutional perspective. It also complements the political science debate, which has thus far primarily concentrated on the economic and political consequences of a high spread.