Miracle-dz/UniFAR-FTUs huggingface dataset:
HNF1B inhibits cell proliferation via repression of SMAD6 expression in prostate cancer

Prostate cancer is the most common malignancy in men in developed countries. In previous study, we identified HNF1B (Hepatocyte Nuclear Factor 1β) as a downstream effector of Enhancer of zeste homolog 2 (EZH2). HNF1B suppresses EZH2‐mediated migration of two prostate cancer cell lines via represses the EMT process by inhibiting SLUG expression. Besides, HNF1B expression inhibits cell proliferation through unknown mechanisms. Here, we demonstrated that HNF1B inhibited the proliferation rate of prostate cancer cells. Overexpression of HNF1B in prostate cancer cells led to the arrest of G1 cell cycle and decreased Cyclin D1 expression. In addition, we re‐explored data from ChIP‐sequencing (ChIP‐seq) and RNA‐sequencing (RNA‐seq), and demonstrated that HNF1B repressed Cyclin D1 via direct suppression of SMAD6 expression. We also identified CDKN2A as a HNF1B‐interacting protein that would contribute to HNF1B‐mediated repression of SMAD6 expression. In summary, we provide the novel mechanisms and evidence in support HNF1B as a tumour suppressor gene for prostate cancer.
Possible Role of TGF-β1, MMP-2, E-CAD, β-Catenin and Antioxidants in Pathogenesis of Placenta Accreta

Abstract Objectives Placenta accreta (PA) can be life-threatening due to postpartum hemorrhage and may lead to cesarean hysterectomy. We investigated the expression of Matrix metalloproteinase-2 (MMP-2), β-catenin, E-cadherin (E-CAD), transforming growth factor β1 (TGF-β1), glutathione peroxidase 1 (GPx-1), reduced glutathione (GSH) and superoxide dismutase (SOD) in PA compared to controls to determine if alterations may contribute to PA. Materials and methods: Twenty six PA and 31 controls were evaluated immunohistochemically for expression of MMP-2, β-catenin and E-CAD on villous and extravillous trophoblasts. TGF-β1 and GPx-1 mRNA levels were evaluated by rt-PCR. We measured biochemical levels of GSH and SOD. Results: Significant increases of MMP-2 immunoexpression, GPx-1 mRNA, SOD and GSH levels, decreases in immunoexpression of E-CAD and β-catenin and TGF-β1 mRNA were found in PA. Conclusion: These findings suggest that loss of cell-cell adhesion and increased antioxidants level may have a role in PA.
Transcriptional profile of genes involved in the production of terpenes and glyceollins in response to biotic stresses in soybean

Abstract Terpenes produced by plants comprise a diverse range of secondary metabolites, including volatile organic compounds (VOCs). Terpene VOC production may be altered after damage or by biological stimuli such as bacterial, fungal and insects, and subsequent triggering of plant defense responses. These VOCs originate in plants from two independent pathways: the mevalonate and the methylerythritol phosphate pathways, which utilize dimethylallyl and isopentenyl diphosphates to form the terpenoidal precursors. Phakopsora pachyrhizi fungi causes Asian soybean rust, limiting soybean production and resulting in losses of up to 80% if no control strategies are applied. By using a transcriptome datasets, we investigated the regulation of genes of the mevalonate pathway under different biotic stresses. We studied the impact of P. pachyrhizi infection in vivo expression profile of genes involved in terpenoid and glyceollin biosynthesis in genotypes harboring different resistance genes (Rpp), and across the infection cycle. In addition, we used UPLC and UPGC analysis to evaluate glyceollin and VOC production, respectively, to identify metabolites associated with soybean responses to pathogen infection. The regulation of soybean genes involved in terpene production was influenced by genotypes, depending on the Rpp gene, while glyceollin was induced in all genotypes. Furthermore, a sesquiterpene was identified as a potential marker associated with rust symptoms on soybean.
Facilitating co-production in public services: Empirical evidence from a co-design experience with family caregivers living in a remote and rural area

The involvement of vulnerable actors in co-production activities is a debated topic in the current public service literature. While vulnerable actors should have the same opportunities to be involved as other actors, they may not have the needed competences, skills and attitudes to contribute to this process. This paper is part of a broader project on family caregivers’ engagement in remote and rural areas. In particular, it investigates how to facilitate co-production by looking at four co-design workshops with family caregivers, representatives of a local home care agency and researchers. The transcripts of the workshops were coded using NVivo, and the data were analysed based on the existing theory about co-production. Two main findings were identified from the analysis. First, the adoption of co-production by vulnerable actors may occur in conjunction with other forms of engagement. Second, the interactions among facilitators and providers play a crucial role in encouraging the adoption of co-production. We identified at least two strategies that may help facilitators and providers achieve that goal. However, there is a need for an in-depth understanding of how facilitators and providers should interact to enhance implementation of co-production.
Employee Sleep Enhancement and Fatigue Reduction Programs: Analysis of the 2017 CDC Workplace Health in America Poll

Background: Poor sleep health, including sleep deficiency and sleep disturbance, is common among employed adults in the U.S. and is associated with undesirable workplace outcomes. Adoption of workplace health promotion programs (WHPPs) is increasing, yet few programs aim to reduce fatigue or improve sleep among employees. Objective: We analyzed data from the nationally representative 2017 Centers for Disease Control Workplace Health in America poll to identify the prevalence of sleep enhancement or fatigue reduction WHPPs and the characteristics of employers that offer these programs. Method: A stratified random sample of nationally-representative worksites with ≥10 employees was generated. It comprised 2,843 worksites. Worksite representatives reported workplace characteristics, health promotion activities, and the likelihood of offering WHPPs relating to sleep enhancement or fatigue reduction. Logistic regression analyses were utilized to identify characteristics associated with offering a sleep enhancement or fatigue reduction WHPP, controlling for WHPP budget and size of the company, and contingent on worksites having a comprehensive workplace health plan. Results: Less than 1 in 10 worksites (10%) reported offering a sleep enhancement or fatigue reduction WHPP. Worksites most likely to offer a sleep-focused WHPP were those in retail, wholesale, or technology industries (OR = 2.71, 95%CI: 1.08-6.8) vs. those in the finance, information, technology industries; those with a large WHPP budget (>$500,000, OR = 6.85, 95%CI: 2.1-22.35) vs. those with no budget; and those that had visible support of WHPP initiatives from senior leadership (OR = 4.74, 95%CI: 1.91-11.75) vs. those without such support. Conclusions: Our results highlight how few worksites reported offering sleep-focused programs for their employees. Those worksites that did feature such programs, were commonly well-resourced and had senior leadership support for WHPP initiatives in general. Future research should consider working directly with leaders to expand the implementation of employee sleep enhancement and fatigue reduction WHPPs.
Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle

Objective This study aimed to validate and evaluate the dry matter (DM) intake prediction model of the Korean feeding standards for dairy cattle (KFSD). Methods The KFSD DM intake (DMI) model was developed using a database containing the data from the Journal of Dairy Science from 2006 to 2011 (1,065 observations 287 studies). The development (458 observations from 103 studies) and evaluation databases (168 observations from 74 studies) were constructed from the database. The body weight (kg; BW), metabolic BW (BW0.75, MBW), 4% fat-corrected milk (FCM), forage as a percentage of dietary DM, and the dietary content of nutrients (% DM) were chosen as possible explanatory variables. A random coefficient model with the study as a random variable and a linear model without the random effect was used to select model variables and estimate parameters, respectively, during the model development. The best-fit equation was compared to published equations, and sensitivity analysis of the prediction equation was conducted. The KFSD model was also evaluated using in vivo feeding trial data. Results The KFSD DMI equation is 4.103 (±2.994)+0.112 (±0.022)×MBW+0.284 (±0.020) ×FCM−0.119 (±0.028)×neutral detergent fiber (NDF), explaining 47% of the variation in the evaluation dataset with no mean nor slope bias (p>0.05). The root mean square prediction error was 2.70 kg/d, best among the tested equations. The sensitivity analysis showed that the model is the most sensitive to FCM, followed by MBW and NDF. With the in vivo data, the KFSD equation showed slightly higher precision (R2 = 0.39) than the NRC equation (R2 = 0.37), with a mean bias of 1.19 kg and no slope bias (p>0.05). Conclusion The KFSD DMI model is suitable for predicting the DMI of lactating dairy cows in practical situations in Korea.
Burst Spinal Cord Stimulation for the Treatment of Cervical Dystonia with Intractable Pain: A Pilot Study

Pain is the most common and disabling non-motor symptom in patients with cervical dystonia. Here, we report four patients with painful cervical dystonia in whom burst spinal cord stimulation (SCS) in the cervical region produced sustained and significant improvements in both dystonic pain and motor symptoms. Further studies need to be performed to investigate the clinical efficacy of burst SCS for patients with cervical dystonia.
Feature-Based Opinion Mining Using Ontological Resources

One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. Customer reviews of products are focused in this paper. Mining opinion data that reside in web is a way to track opinions of people on speciﬁc product. Opinion mining is a recent subdiscipline of computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. To aid the extraction of opinions from text, recent work has tackled the issue of determining the orientation of subjective terms contained in text, i.e. deciding whether a term that carries opinionated content has a positive or a negative connotation. In this paper the task of deciding whether a given term has a positive connotation, or a negative connotation by using feature-based opinion mining with ontology where opinions expressed towards each feature of an object or a product are extracted and summarized. In this context, the goal is to study the role of domain ontology to structure and extract object features as well as to produce a comprehensive summary.
The development of social interactions in Corydoras aeneus larvae

Very young animals develop life skills as they mature, and for social animals this includes the acquisition of social abilities such as communication. Many animals exhibit changeable patterns of social behavior based on development, and social experience during the juvenile period can be vital for the development of necessary social behaviors in adulthood. We investigated the development of a distinctive tactile interaction behavior in Corydoras aeneus, the Bronze Cory catfish. Adults use this behavior to coordinate group activities during foraging and flight responses from predators, and the development of this behavior in larvae is of interest in investigating how communication and social behaviors develop as an individual matures, and which factors affect their development. We found that larvae respond to applied tactile stimulation with a flight response far less often as larvae matured, implying that larvae become less sensitive to tactile stimulation with age. Given that adults frequently interact with one another tactilely, this development is consistent with developing appropriate social behavior in adulthood. We also found that social exposure affects the development of the larval response to tactile interactions with conspecifics, and that isolation in the earliest larval stage leads to a greater likelihood of responding to a tactile interaction with a conspecific with a flight response. This suggests that social exposure is important for developing an appropriate response to tactile stimulation in social settings and underscores the particular importance of early life experiences in the development of sociality.
CORRELATION BETWEEN SERUM LACTATE DEHYDROGENASE (LDH) AND SEIZURE – AN OBSERVATION IN CLINICAL CASES

Introduction Serum lactate dehydrogenase (LDH) is an enzyme that catalyses the interconversion of lactate and pyruvate. LDH inhibition can reduce the excitability of neurons in mice; this leads to the hope that LDH inhibitor may be used to treat seizure. Translating this laboratory experimental finding to clinical medicine, one would like to investigate the potential correlation of serum LDH and seizure in human. Objective The objective of this study is to investigate “would a patient with an acute illness, who has seizure as one of the clinical manifestations, has an elevated serum LDH before, during, or after an episode of seizure? ” Method The PubMed database was searched. The search algorithm was: (epileps* OR seizur*) AND (lactate dehydrogenase* OR LDH). Patients with known established conditions that could elevate LDH were excluded. Results Fifteen clinical cases met the criteria and were reviewed. Their serum LDH levels in relation to a seizure event were studied. The ratio of serum LDH to the upper limit of the reference ranges were all above 1.0 (ranging from 1.4 to 23.1). Conclusion Patients with an acute illness, who had seizure as one of their clinical manifestations, had elevated serum LDH above the upper limit, before, during, or after an episode of seizure.
Connecting professionalism, learning and identity

This is a conceptual article in which we try to connect some of our previous publications into a coherent new model of learner identity. The first phase of our research concerns the research and theories about professional and work-related learning, followed by work on the learning landscape: a metaphor for organizational learning. The third phase looks at added learning preferences: five ways of work-related learning. Phase four introduces the concept of the learning professional, and phase five looks at research and theories about professional identity: what inalienably connects: who you are (person), the work you do (profession) and the context in which you shape it. In the discussion, we try to explain how the various models can be connected, differentiated and integrated. Professional identity is the basis for all the other approaches. In an integrated set of questions, we bring it all together, introducing the new concept of learner identity and focusing on consequences for facilitating a professional learning culture.
Mining the Text using Association Rule Mining Technique

As the amount of text available in electronic form continues to increase at alarming rate, the tools to manage these textual resources effectively will become critical. Information Retrieval System tries to save the users access time by classifying the documents and clustering the documents because users spend a lot of time to find documents or information from texts. Therefore, text mining is the most popular and it is necessary to solve this problem. The largest amount of work in text mining has been in the areas of categorization, classification and clustering of documents. Text mining has many methods to find the useful information. Among these methods, association rule mining is very suitable for finding the most frequent words that occur in the document collection. Association rule analysis is the task of discovering association rules that occur frequently in a given text sets. Our proposed system had been developed by applying the preprocessing steps of text mining system and Apriori algorithm for finding the pairs of most frequent words. These frequent words are associated with each other and they can provide the trained texts for the document classification.
Numerical determination of plasma electron density and reduced electric field by the principle of impedance matching

An electromagnetic model of a microwave plasma source is described from which the electron density, neutral density and reduced electric field can be derived by minimizing the reflection coefficient. This is performed for two types of plasma, namely for low and for high pressure. The modelled impedances agree with experiment for both types of plasma. The electron density found for the high pressure plasma agrees in good proximity with the experimentally measured value, while for the low pressure plasma it does not.
Pairing up networks Phonological and

This study looks at the interaction between phonological and graphemic priming, since previous literature (Meyer et al., 1974, Shulman et al., 1978, Hillinger, 1980, Evett & Humphreys, 1981) has been inconclusive and conflicting. In order to give new insights, Dutch participants were tested with word pairs, by means of a Lexical Decision task. These pairs where graphemically and phonologically related, only graphemically related, only phonologically related, or unrelated. This experiment was carried out in order to investigate whether phonological and graphemic priming combined is stronger than only phonological priming or graphemic priming. The results partially confirmed our predictions, with as main outcome the increased facilitation of both phonological and graphemic priming, compared to the other types of priming that were taken into consideration. Furthermore, this study found that graphemic priming has an inhibitory effect on the participant’s responsiveness.
Control of Brevicoryne brassicae (Hemiptera: Aphididae) with extracts of Agave americana var. Marginata Trel. in Brassica oleracea crops

Department of Plant Science, Federal University of Viçosa, Viçosa, Brazil Department of Soils and Plant Nutrition, Federal University of Viçosa, Viçosa, Brazil Department of Entomology, Federal University of Viçosa, Viçosa, Brazil Department of Statistics, Federal University of Viçosa, Viçosa, Brazil Department of Agricultural Education, Federal University of Viçosa, Viçosa, Brazil Correspondence Adalgisa Pereira, Department of Plant Science, Federal University of Viçosa, Viçosa, MG 36570-900, Brazil. Email: adalgisa.pereira@gmail.com Alternative methods of pest control can and should be encouraged, especially those that consider the reality of smallholder family farmers. Here, we evaluated the potential of Agave americana (agave) extracts for the control of the aphid Brevicoryne brassicae in cabbage (Brassica oleracea L. var acephala) in the field and laboratory. The field experiments consisted of the evaluation of the proportion of dead aphids on cabbage plants after application of agave extracts. In the field, agave mixed with cow milk caused mortality above 80% and was the most effective extract. Agave mixed with water and agave mixed with ethanol elicited mortality above 60%. In the laboratory, we evaluated the mortality of aphids after the application of different concentrations of aqueous agave extracts; the commercial insecticide deltamethrin was included as positive control. Evaluation took place at 3, 6, 12, 24, 48 and 72 hr after applying the treatment. As expected, deltamethrin was the most effective treatment. However, agave extract at concentrations of 0.750 and 0.500 g/mL caused >70% mortality 3 hr after application. We conclude that A. americana extracts decreased aphid populations and is a promising alternative to the commercial insecticide against aphids in cabbage.
Identification of Immune-dominant Epitopes within Bovine Rotavirus VP6 Protein by Synthetic Peptide Approach

1National Institute of High Security Animal Diseases (NIHSAD), Bhopal, India. 2Biological Standardization Division, Indian Veterinary Research Insitute (IVRI), Izatnagar, India. 3Division of Animal Biotechnology, Indian Veterinary Research Insitute (IVRI), Izatnagar, India. 4National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India. 5Division of Veterinary Immunology, Indian Veterinary Research Insitute (IVRI), Izatnagar, India.
Audio Classification Framework based on DSVM

The explanation of how a decision made is important for accepting the machine learning technology, especially for applications such as multimedia. SVMs have shown strong generalization ability in a number of application areas, including audio classification. However, the poor comprehensibility hinders the success of the SVM for audio class prediction. On the other hand, a decision tree has good comprehensibility. This approach combines the SVM with decision tree. We use the SVM as a decision of binary tree to select strong instances to generate rules; it is known as decision svm (DSVM). We considered eight audio classes: silence, non-silence, speech with music, speech with noise, music with environment sound, instrumental music, environmental sound and noise. This classification and analysis is intended to analyze the structure of the sports video.
CONFLICT MANAGEMENT STYLES AND CAREER SATISFACTION IN TERTIARY HEALTH INSTITUTIONS IN RIVERS STATE

This study examines the relationship between conflict management styles and career satisfaction of tertiary health institutions in Rivers State. Research design is cross-sectional survey. Target population for this study comprises of University of Port Harcourt Teaching Hospital and Braithwaite Memorial Specialist Hospital (BMSH). Purposive sampling technique was used. Total accessible population for this study consists of 608 medical doctors, nurses and administrative staffs. Sample size is 241 using Taro Yamane formular. Method of data collection is questionnaire. 241 copies of questionnaire were distributed but 200 copies were correctly filled and used for data analysis. Validity was determined using face validity. Cronbach alpha test was used to ascertain the reliability of the instrument. Spearman Rank Order Correlation Coefficient (rho) served as a statistical tool. Statistical Package for Social Sciences (22.0) was used to run the analysis. The study found that conflict management styles have significant relationship with career satisfaction. The study concluded that conflict management styles measured in terms of collaboration style, accommodation style and compromise style enhancecareer satisfaction of health workers in tertiary health institutions in Rivers state. One of the recommendations is that managers should adopt collaboration style of conflict management to resolve disagreement in the organization so as to improve career satisfaction of their employees.