Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability and validity of a short version of Center for Epidemiologic Studies Depression Scale in national adult population

Objective:To examine the reliability and validity of a short version of Center for Epidemiologic Studies Depression Scale(CES-D-13). Methods:In the cross-sectional study,two large national stratified random samples were used to conduct the item analysis,confirmatory factor analysis and correlation analysis.Emotional experience,Pittsburgh Sleep Quality Index and the original 20-item CES-D were used to test the criterion validity and congruent validity of the short version of CES-D-13.Results:All item-total correlations were higher than 0.47,indicating that the items of the scale exhibited sufficient discriminant validity.Results of confirmatory factor analysis supported that the factor structure of original scale fit the short version of CES-D-13 very well(RMSEA = 0.058,NFI = 0.98,NNFI = 0.97,CFI=0.98,GFI =0.97,AGFI=0.95,SRMR =0.032). The short version of CES-D-13 was closely associated with emotional experience(r=-0.69,P0.01),sleep quality(r=0.41,P0.0),as well as original CES-D(r=0.97,P0.001),indicating that the scale demonstrated reasonable criterion validity and congruent validity.Cronbach' s alphas in the two samples for the total scale were 0.86 and 0.87,and for the three dimensions were in range from 0.71 to 0.83. Conclusion:The short version of CES-D-13 can be reliable and valid for applications in measuring the depressive symptoms among general population.
Vitamin D Sufficiency of Canadian Children Did Not Improve Following the 2010 Revision of the Dietary Guidelines That Recommend Higher Intake of Vitamin D: An Analysis of the Canadian Health Measures Survey

In 2010, the dietary guidelines for vitamin D for Canadians and Americans aged 1–70 years were revised upward. It is unknown whether the vitamin D status of Canadian children improved after 2010. We compared the prevalence of vitamin D sufficiency (25-hydroxy vitamin D (25(OH)D) concentration of ≥50 nmol/L), 25(OH)D concentration and the frequency of consuming vitamin D-rich foods among children aged 6–18 years-old using data from the nationally representative 2007/2009 and 2012/2013 Canadian Health Measures Surveys. Associations of sociodemographic, anthropometric, seasonal, and regional variables with achieving vitamin D sufficiency, 25(OH)D concentration, and consumption of vitamin D-rich foods were assessed using multiple logistic and linear regression models. 79% and 68% of children in 2007/2009 and 2012/2013 respectively, were vitamin D sufficient. The main dietary source of vitamin D was milk. Between 2007/2009 and 2012/2013, the frequency of milk and fish consumption declined, but egg and red meat consumption was unchanged. Age, income, weight status, season and ethnicity were associated with 25(OH)D concentration and vitamin D sufficiency. Vitamin D status declined after the upward revision of dietary guidelines for vitamin D, consequently, dietary intake was inadequate to meet sufficiency. Public health initiatives to promote vitamin D-rich foods and supplementation for Canadian children are needed.
Variability in biological behaviour, pathogenicity, protectotype and induction of virus neutralizing antibodies by different vaccination programmes to infectious bronchitis virus genotype Q1 strains from Chile

ABSTRACT In the period from July 2008 to 2010, a disease episode resulting in serious economic losses in the major production area of the Chilean poultry industry was reported. These losses were associated with respiratory problems, increase of condemnations, drops in egg production and nephritis in breeders, laying hens and broilers due to infections with infectious bronchitis virus (IBV). Twenty-five IBV isolates were genotyped and four strains were selected for further testing by pathotyping and protectotyping. Twenty-four IBV isolates were of the Q1 genotype. The experiments also included comparing the ability of six vaccination programmes to induce virus neutralizing antibodies (VNA) in layers against four selected Chilean strains. Despite the high genetic homology in the S1 gene between the four strains, the heterogeneity in biological behaviour of these different Q1 strains was substantial. These differences were seen in embryonated eggs, in cell culture, in pathogenicity and in level of cross-protection by IBV Massachusetts (Mass) vaccination. This variability underlines the importance of testing more than one strain per serotype or genotype to determine the characteristics of a certain serotype of genotype. The combination of Mass and 793B vaccine provided a high level of protection to the respiratory tract and the kidney for each strain tested in the young birds. The combination of broad live priming using Mass and 793B vaccines and boosting with multiple inactivated IBV antigens induced the highest level of VNA against Q1 strains, which might be indicative for higher levels of protection against Q1 challenge in laying birds.
Probabilistic Social Behavior Analysis by Exploring Body Motion-Based Patterns

Understanding human behavior through nonverbal-based features, is interesting in several applications such as surveillance, ambient assisted living and human-robot interaction. In this article in order to analyze human behaviors in social context, we propose a new approach which explores interrelations between body part motions in scenarios with people doing a conversation. The novelty of this method is that we analyze body motion-based features in frequency domain to estimate different human social patterns: Interpersonal Behaviors (IBs) and a Social Role (SR). To analyze the dynamics and interrelations of people's body motions, a human movement descriptor is used to extract discriminative features, and a multi-layer Dynamic Bayesian Network (DBN) technique is proposed to model the existent dependencies. Laban Movement Analysis (LMA) is a well-known human movement descriptor, which provides efficient mid-level information of human body motions. The mid-level information is useful to extract the complex interdependencies. The DBN technique is tested in different scenarios to model the mentioned complex dependencies. The study is applied for obtaining four IBs (Interest, Indicator, Empathy and Emphasis) to estimate one SR (Leading). The obtained results give a good indication of the capabilities of the proposed approach for people interaction analysis with potential applications in human-robot interaction.
Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation

The recent adoption of recurrent neural networks (RNNs) for session modeling has yielded substantial performance gains compared to previous approaches. In terms of context-aware session modeling, however, the existing RNN-based models are limited in that they are not designed to explicitly model rich static user-side contexts (e.g., age, gender, location). Therefore, in this paper, we explore the utility of explicit user-side context modeling for RNN session models. Specifically, we propose an augmented RNN (ARNN) model that extracts high-order user-contextual preference using the product-based neural network (PNN) in order to augment any existing RNN session model. Evaluation results show that our proposed model outperforms the baseline RNN session model by a large margin when rich user-side contexts are available.
The complete mitochondrial genome of Cleithenes herzenstein and its phylogenetic analysis

Abstract The complete mitochondrial genome of Stewartia sinensis was obtained with long PCR approach. Amplification primers were designed according to mitogenome sequences of some other fish species. PCR reactions were according to Kong et al. (2009). The complete mitochondria sequence of Cleithenes herzenstein was deposited in GenBank under the accession number KT223828. Structural and evolutionary analyses were also performed. The length of the complete mitochondrial DNA sequence was 17 175 bp, consisting of 13 protein-coding genes, 22 tRNA genes, and two rRNA genes. Other than D-loop, another non-coding region named ‘‘OL’’ region was found (Table 1). The ‘‘OL’’ region (CTTTTTCCCGCCTAGTTTAACCAGTAAAAGGCGGGAA) is 38 bp and has the potential to fold into a stem-loop secondary structure. Most of the genes were encoded on the heavy strand (H strand) except for ND6 and eight tRNA genes (Table 1). The base composition and gene arrangement of C. herzenstein mitogenome was identical to typical vertebrate. For sequence alignment, the mitogenome sequence of C. herzenstein was 96% and 95% similar to that of Platichthys stellatus and Verasper moseri, respectively.
Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization

In the research of building emotion lexicons, we witness the exploitation of crowd-sourced affective annotation given by readers of online news articles. Such approach ignores the relationship between topics and emotion expressions which are often closely correlated. We build an emotion lexicon by developing a novel joint non-negative matrix factorization model which not only incorporates crowd-annotated emotion labels of articles but also generates the lexicon using the topic-specific matrices obtained from the factorization process. We evaluate our lexicon via emotion classification on both benchmark and built-in-house datasets. Results demonstrate the high-quality of our lexicon.
A Web-based Semi-Automatic Assessment Tool for Formulating Basic SQL Statements: Point-and-Click Interaction Method

Learning the Structured Query Language (SQL) is an important step towards developing students' database skills. As such, the number of higher education students learning SQL is constantly increasing. In this context, most researches focus on marking and providing feedback on the final query output rather than on the formulation of the SQL statement clauses. Focusing on statements formulation can assist the examiners in diagnosing the strengths and weaknesses of students’ answers and provide detailed feedback on SQL statements that have been submitted for marking. This paper proposes a new semi-automatic assessment tool called SQL Formulation Editor (SQL-FE) for higher levels of education. The tool allows students to formulate SQL statements using point-and-click interaction method. To ensure the effectiveness of the method; the research has conducted an experiment which compares SQL-FE with the SQL Management Studio (SSMS) tool. The results have provided reasonable evidence that using SQL-FE can have a beneficial effect on formulating SQL query on-time and demonstrated a significant improvement in students’ performance.
Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity

Significance Nature produces a variety of proteins that could be tapped for therapeutic applications. This paper focuses on the bacterial enzyme β-lactamase, a component of antibody-directed enzyme prodrug therapies designed to activate cytotoxic prodrugs selectively at sites of malignancy. Unfortunately, like many other nonhuman proteins, β-lactamase evokes an antidrug immune response that limits its clinical potential. This paper demonstrates that a multiobjective library-design method enables incorporation of mutations throughout the protein, modifying portions that trigger immune recognition while simultaneously preserving stability and catalytic activity. The libraries were inherently enriched in beneficial variants, and they produced numerous candidates that were both highly functional and immunologically stealthy. The method is general purpose and could enable functional deimmunization of other biotherapeutic agents. Therapeutic proteins of wide-ranging function hold great promise for treating disease, but immune surveillance of these macromolecules can drive an antidrug immune response that compromises efficacy and even undermines safety. To eliminate widespread T-cell epitopes in any biotherapeutic and thereby mitigate this key source of detrimental immune recognition, we developed a Pareto optimal deimmunization library design algorithm that optimizes protein libraries to account for the simultaneous effects of combinations of mutations on both molecular function and epitope content. Active variants identified by high-throughput screening are thus inherently likely to be deimmunized. Functional screening of an optimized 10-site library (1,536 variants) of P99 β-lactamase (P99βL), a component of ADEPT cancer therapies, revealed that the population possessed high overall fitness, and comprehensive analysis of peptide–MHC II immunoreactivity showed the population possessed lower average immunogenic potential than the wild-type enzyme. Although similar functional screening of an optimized 30-site library (2.15 × 109 variants) revealed reduced population-wide fitness, numerous individual variants were found to have activity and stability better than the wild type despite bearing 13 or more deimmunizing mutations per enzyme. The immunogenic potential of one highly active and stable 14-mutation variant was assessed further using ex vivo cellular immunoassays, and the variant was found to silence T-cell activation in seven of the eight blood donors who responded strongly to wild-type P99βL. In summary, our multiobjective library-design process readily identified large and mutually compatible sets of epitope-deleting mutations and produced highly active but aggressively deimmunized constructs in only one round of library screening.
Genomic analysis of melanoma evolution following a 30‐year disease‐free interval

Ultra‐late melanoma recurrence is infrequent, poorly understood and, in most cases, difficult to unambiguously distinguish from a new primary melanoma. We identified a patient with a second melanoma diagnosed after a 30‐year disease‐free interval, and sought to determine if this new lesion was a recurrence of the original melanoma. Here we report the genomic sequence analysis of the exomes of 2 melanoma lesions isolated from the same individual in 1985 and 2015, and their comparison to each other and to the germline DNA of the patient. Identification of many shared somatic mutations between these lesions proves a lineal relationship spanning 30 years. Unlike prior reports of ultra‐late melanoma recurrence, the availability of the original tumor and the use of comprehensive genomic analysis allowed us to confirm that the second lesion is truly a recurrence. We demonstrate the acquisition of numerous additional mutations during the 3 decade asymptomatic period. These data highlight the low but very long‐lasting risk of recurrence in this patient population.
Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics

Nutrient acquisition is a critical determinant for the competitive advantage for auto- and osmohetero- trophs alike. Nutrient limited growth is commonly described on a whole cell basis through reference to a maximum growth rate (Gmax) and a half-saturation constant (KG). This empirical application of a Michaelis-Menten like description ignores the multiple underlying feedbacks between physiology contributing to growth, cell size, elemental stoichiometry and cell motion. Here we explore these relationships with reference to the kinetics of the nutrient transporter protein, the transporter rate density at the cell surface (TRD; potential transport rate per unit plasma-membrane area), and diffusion gradients. While the half saturation value for the limiting nutrient increases rapidly with cell size, significant mitigation is afforded by cell motion (swimming or sedimentation), and by decreasing the cellular carbon density. There is thus potential for high vacuolation and high sedimentation rates in diatoms to significantly decrease KG and increase species competitive advantage. Our results also suggest that Gmax for larger non-diatom protists may be constrained by rates of nutrient transport. For a given carbon density, cell size and TRD, the value of Gmax/KG remains constant. This implies that species or strains with a lower Gmax might coincidentally have a competitive advantage under nutrient limited conditions as they also express lower values of KG. The ability of cells to modulate the TRD according to their nutritional status, and hence change the instantaneous maximum transport rate, has a very marked effect upon transport and growth kinetics. Analyses and dynamic models that do not consider such modulation will inevitably fail to properly reflect competitive advantage in nutrient acquisition. This has important implications for the accurate representation and predictive capabilities of model applications, in particular in a changing environment.
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach

In many real world networks, a vertex is usually associated with a transaction database that comprehensively describes the behaviour of the vertex. A typical example is the social network, where the behaviour of every user is depicted by a transaction database that stores his daily posted contents. A transaction database is a set of transactions, where a transaction is a set of items. Every path of the network is a sequence of vertices that induces multiple sequences of transactions. The sequences of transactions induced by all of the paths in the network forms an extremely large sequence database. Finding frequent sequential patterns from such sequence database discovers interesting subsequences that frequently appear in many paths of the network. However, it is a challenging task, since the sequence database induced by a database graph is too large to be explicitly induced and stored. In this paper, we propose the novel notion of database graph, which naturally models a wide spectrum of real world networks by associating each vertex with a transaction database. Our goal is to find the top-k frequent sequential patterns in the sequence database induced from a database graph. We prove that this problem is #P-hard. To tackle this problem, we propose an efficient two-step sampling algorithm that approximates the top-k frequent sequential patterns with provable quality guarantee. Extensive experimental results on synthetic and real-world data sets demonstrate the effectiveness and efficiency of our method.
Managing medications for individuals living with a dementia: Evaluating a web‐based information resource for informal carers

AIMS The purpose of the study was to evaluate the usefulness of the "Managing Medicines for People with Dementia" (www.dementiameds.com) website for informal carers. BACKGROUND The management of medications for individuals living with a dementia by informal carers is a neglected area of care. We know that informal carers find it difficult accessing reliable and comprehensive information about medications. We also know that the Internet is a contemporary and growing medium through which consumers access health information. This study was unique in that it brought these two elements together through an interdisciplinary study about the usefulness of a new website providing information on medication management. METHODS Data collection consisted of focus groups with informal carers of individuals living with a dementia. Data were analysed through content analysis. FINDINGS Four themes were generated from the data to explain the evaluation of the website by informal carers: (1) Suitability of the website; (2) Presentation of the website; (3) Unexpected benefits of the website content; (4) Future enhancements for website. Participants overwhelmingly agreed the content of the website filled a gap in information needs about medication management for individuals living with a dementia. IMPLICATIONS FOR PRACTICE This qualitative evaluation demonstrated the value of the website as a resource for informal carers of individuals living with a dementia. The resource could also be used by community nurses and other healthcare practitioners to help informal carers better manage the medication regimes of individuals living with a dementia. The resource has the potential to reduce complications associated with mismanagement of medications and contribute to new policies for implementing safe medication practices.
In vivo construction of liver tissue by implantation of a hepatic non‐parenchymal/adipose‐derived stem cell sheet

Subcutaneous hepatocyte sheet implantation is an attractive therapeutic option for various liver diseases. However, this technique is limited by the availability of hepatocytes. Thus, the use of hepatic non‐parenchymal cells (NPCs) containing small hepatocytes, which have the ability to proliferate more rapidly than mature hepatocytes, for transplantation has been suggested. The aim of our study was to construct liver tissue subcutaneously in rats by implanting NPC sheets co‐cultivated with adipose‐derived stem cells (ADSCs), which produce certain angiogenic factors. We crafted NPC‐ADSC sheets on temperature‐responsive culture dishes. NPCs formed functioning bile canaliculi and stored glycogen. In addition, their ability to produce albumin was not inferior to that of hepatocytes. Albumin production increased over time when co‐cultivated with ADSCs. We then implanted the co‐cultivated cell sheets subcutaneously. The co‐cultivated sheets retained glycogen, formed bile canaliculi, showed signs of vascularization and survived subcutaneously without pre‐vascularization. These results suggest that NPCs can be a viable option in cell therapy for liver diseases. This technique using co‐cultivated cell sheets may be useful in the field of regenerative medicine. Copyright © 2017 John Wiley & Sons, Ltd.
Religious Tourism - a Finnish Perspective

23 November 2012 Degree programme in tourism Authors Katri Nieminen Group or year of entry 2009 The title of thesis RELIGIOUS TOURISM – A FINNISH PERSPECTIVE Number of pages and appendices 61 + 6 Supervisor(s) Eva Holmberg This thesis deals with religious tourism. The objectives of this study are firstly to understand what religious tourism is, who the tourists attracted to religious tourism are, what the destinations and motives for religious holidays are and what the future of religious tourism looks like. This study is limited to dealing with Christian religious tourism. There is a survey made to find out firstly how religious tourism is understood and what the important destinations for religious tourism are. Secondly, it is to find out how much interest there is for different forms of religious tourism, what destinations are interesting and what else is important when travelling for religious motives. A questionnaire is formulated and distributed in two different churches in Finland. The questionnaire consists of mainly structured questions and two open-ended questions. The results are calculated and evaluated using quantitative method with the help of Excel. There are 78 respondents in this study, all Finns by nationality. According to this study, religious tourism is mainly understood to be about Israel, pilgrimages, missionary travel and Biblical tours. The most important destinations according to this study are Israel, Greece and Finland, which are all also seen as the most interesting religious tourism destinations. As for the most interesting forms of religious tourism, religious conferences and events together with visiting Biblical places are seen as the most appealing. The “dream come true” religious holiday for the respondents would be about traveling together with 1-2 other people, contain taking part in a church service, meeting local people and having fellowship with others. The most suitable length of a religious holiday would be one week. Among the recipients of this study , the motives for taking a religious holiday are mostly spiritual. According to the results, three propositions for possible religious holiday packages are made for tour operators.