Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Transepithelial Permeation of Gallic Acid and (−)-Epigallocatechin Gallate across Human Intestinal Caco-2 Cells Using Electrospun Xanthan Nanofibers

Electrospun xanthan polysaccharide nanofibers (X) were developed as an encapsulation and delivery system of the poorly absorbed polyphenol compounds, gallic acid (GA) and (−)-epigallocatechin gallate (EGCG). Scanning electron microscopy was used to characterize the electrospun nanofibers, and controlled release studies were performed at pH 6.5 and 7.4 in saline buffer, suggesting that the release of polyphenols from xanthan nanofibers follows a non-Fickian mechanism. Furthermore, the X-GA and X-EGCG nanofibers were incubated with Caco-2 cells, and the cell viability, transepithelial transport, and permeability properties across cell monolayers were investigated. Increases of GA and EGCG permeabilities were observed when the polyphenols were loaded into xanthan nanofibers, compared to the free compounds. The observed in vitro permeability enhancement of GA and EGCG was induced by the presence of the polysaccharide nanofibers, which successfully inhibited efflux transporters, as well as by opening tight junctions.
Blended surface capturing formulation for modelling free-surface flow using the volume-of-fluid approach

SUMMARY With the aim of accurately modelling free-surface flow of two immiscible fluids, this study presents the development of a new volume-of-fluid free-surface capturing formulation. The new formulation builds on the strengths of existing approaches by combining them in a manner that provides an increase in accuracy and performance. The formulation combines the use of blended higher-resolution discretisation schemes with the addition of an artificial compressive term. This reduces the numerical smearing of the interface associated with the explicit higher-resolution schemes, while limiting the contribution of the artificial compressive term to ensure the integrity of the interface shape is maintained. The volume-of-fluid equation is dicretised via an unstructured vertex-centred finite volume method, and solved via a Jacobian type dual-time stepping approach. Copyright c 2010 John Wiley & Sons, Ltd.
THE COMPARISONS AND CONTRASTS BETWEEN ENGLISH AND MALAY LANGUAGES

English and Malay languages are categorized as popular languages in the world. However, both languages underwent different history and composition. This study investigates the languages in terms of history, phonology, loanwords, grammar, morphology and semantics. The purposes of studying the comparisons and contrasts of both languages are not only to analyze the uniqueness of the languages but also to identify the process of understanding the languages especially the view of second language learners. It is found that two languages come from different background; somehow they share similar characteristics such as the vowels sounds, loanwords and semantics. However, the learners face difficulty in learning both languages especially in pronunciations and spelling. Keywords : English language, Malay language, history of language
Effect of some Natural Treatments on Vegetative Growth and Leaf Chemical Composition of Squash Plants Growing Under Cold Conditions.

Growth of squash plants cv. Eskandarani during winter seasons of 2016 and 2017 under outdoor conditions was significantly enhanced by application of some natural treatments, i.e. seed cold hardening (SCH) at -1̊ C for 12 & 24 hours of exposure period as seed pre-sowing treatments, and salicylic acid (SA) at 100 & 200 ppm, the mineral nutrients (Ca at 250 & 500 ppm and Zn at 50 and 100 ppm and the natural extracts (GCE at 50 &100 g/l and LRE at 5 & 10 g/l) as seed soaking then foliar spray treatments. Since, significant increases in stem length and diameter, leaves number and total area / plant, as well as fresh and dry weights of roots, stems and leaves were obtained with all applied treatments. Meanwhile, significant reduction in the assimilation rate was existed. Besides, different applied treatments obviously increased photosynthetic pigments, NPK, sugars, total carbohydrates and crude protein contents in leaves of the treated plants compared with those of untreated ones. Increases were in parallel to the applied level of SCH, GCE, LRE, SA, Ca and Zn. In addition, GCE at 100 g/l was the most pronounced treatment in this respect, followed by SA at 200 ppm, LRE at 10 g/l, Ca at 500 ppm, Zn at 100 ppm and SCH at -1 for 24 hours of exposure period in descending order. Therefore, the present study strongly admit the use of natural garlic and licorice extracts, salicylic acid and some mineral nutrients as seed pre-sowing treatments not only to improve growth and productivity of squash plants during winter months under outdoors conditions but also to avoid all cautions (regarding both environment and human consumption) for inserting greenhouses production in the agricultural system.
Anti-CXCL 13 and Anti-TNF α Monoclonal Antibodies Combinatorial Treatment Inhibits Autoimmune Disease in a Murine Model of Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by the involvement of multiple organ systems with alternating clinical exacerbations and remissions. Circulating immune complexes and autoantibodies can cause tissue damage and organ dysfunction with manifestations involving the skin, serosal surfaces, central nervous system, and kidneys (Rahman & Isenberg, 2008). B cells are believed to play an important role in SLE. B cells can function as APCs, produce cytokines and chemokines contributing to lymphoid regulation, and can respond to stimuli in the microenvironment at local tissues (Ramanujam & Davidson, 2008). Pathogenic autoantibodies produced by autoreactive B cells are believed to play an important role in the pathogenesis of SLE. CXCL13 has been shown to be a key mediator of organization of lymphoid tissues. CXCL13 is a B cell chemoattractant that is expressed by peritoneal macrophages and follicular dendritic cells in secondary lymphoid organs, such as the follicles of Peyer’s patches, the spleen and lymph nodes. Through interaction with CXCR5, a G-protein coupled receptor, CXCL13 attracts B lymphocytes and promotes migration of small numbers of T helper follicular cells and macrophages (Gunn et al., 1998). CXCL13 is critical for B cell homing and follicle formation in lymph node and spleen, and it is required for the development of lymph nodes and Peyer’s patches (Ansel et al., 2000). CXCL13 protein level is elevated in ectopic B cell follicles formed in the inflamed tissues of multiple chronic diseases, and plays an important role in maintaining inflammation by actively recruiting B cells (Carlsen et al., 2004; Magliozzi et al., 2004; Salolonsson et al., 2002; Shi et al., 2001;). CXCL13 has been shown to have increased expression in the thymus and kidney of aged NZB/W F1 mice, and may play a role in breaking immune tolerance in the thymus of autoimmune prone mice (Ishikawa et al., 2001). Treatment with anti-CXCL13 has shown efficacy in animal models of RA and EAE (Bagaeva et al. 2006; Zheng et al., 2005). Because of its function and presence in various pathological conditions, CXCL13 and CXCL13 dependent pathways are thought to be instrumental in the pathogenesis of a variety of diseases where B cells may play a significant role, including RA, OA, UC, and SLE, and could be potential targets for autoimmune therapy (Table 1).
A Coevolutionary Perspective on Business and IT Alignment : A Review and Research Agenda

Business and IT Alignment (BITA) has received a growing attention during the last decades. Due to increasing environmental and organizational complexities, a co-evolutionary perspective has emerged recently to understand and to control the dynamics in BITA. The Business and IT Co-evolution (BITC) aims to coordinate business and IT through continuous adaptation and learning. A series of BITC studies have been conducted since the 2000s. This study provides an organized review of the current knowledge of this area. Its contribution is threefold: 1) organizing extant literature on BITC, 2) revealing knowledge gaps, and 3) proposing a research agenda.
EXAMINING THE USE OF A PERSONALIZED LEARNING MANAGEMENT SYSTEM ( PLMS ) TO INCREASE STUDENT ENGAGEMENT IN K-12 PHYSICS

Motivated by the drive to impact the quality and diversity of students applying to engineering schools, this study evaluates a component of a Personalized Digital Learning Management System (PLMS) that has been designed to increase student engagement in K-12 Physics. In particular, a non-traditional project based learning module, with roots in game-based learning, has been developed and executed in grade 8 science classrooms. Pre and post survey data that includes attitudinal markers, learning style profiles, gender, and assessments of knowledge gained, are analyzed and presented. Results suggest that students who are more interested in science, physics and engineering tend to have learning styles that require programming that is more active and less sequential than traditionally delivered. This is particularly the case for female students. The non-traditional game based project acted to provide these types of learning opportunities and post survey data showed a very high level of student engagement. Results obtained will be used to further refine the PLMS.
Multilingual corpus-based extraction and the Very Large Lexicon

Over the past decade, the World Wide Web has been providing access to ever-increasing multilingual corpora. At the same time, computational linguists have been creating a wide range of linguistically motivated text abstraction techniques. These two phenomena permit the creation of extremely large collections of abstracted exemplars of text. One application of such exemplars is knowing the most likely abstracted form an extracted item would take, and another is to predict what the best translation for a term should be in a different language. In this article we describe the linguistic abstractions that a text can undergo, show how these abstractions can be stored in a Very Large Lexicon, and show one use of such a lexicon for multilingual term translation.
Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia

Background Medication nonadherence can compound into severe medical problems for patients. Identifying patients who are likely to become nonadherent may help reduce these problems. Data-driven machine learning models can predict medication adherence by using selected indicators from patients’ past health records. Sources of data for these models traditionally fall under two main categories: (1) proprietary data from insurance claims, pharmacy prescriptions, or electronic medical records and (2) survey data collected from representative groups of patients. Models developed using these data sources often are limited because they are proprietary, subject to high cost, have limited scalability, or lack timely accessibility. These limitations suggest that social health forums might be an alternate source of data for adherence prediction. Indeed, these data are accessible, affordable, timely, and available at scale. However, they can be inaccurate. Objective This paper proposes a medication adherence machine learning model for fibromyalgia therapies that can mitigate the inaccuracy of social health forum data. Methods Transfer learning is a machine learning technique that allows knowledge acquired from one dataset to be transferred to another dataset. In this study, predictive adherence models for the target disease were first developed by using accurate but limited survey data. These models were then used to predict medication adherence from health social forum data. Random forest, an ensemble machine learning technique, was used to develop the predictive models. This transfer learning methodology is demonstrated in this study by examining data from the Medical Expenditure Panel Survey and the PatientsLikeMe social health forum. Results When the models are carefully designed, less than a 5% difference in accuracy is observed between the Medical Expenditure Panel Survey and the PatientsLikeMe medication adherence predictions for fibromyalgia treatments. This design must take into consideration the mapping between the predictors and the outcomes in the two datasets. Conclusions This study exemplifies the potential and limitations of transfer learning in medication adherence–predictive models based on survey data and social health forum data. The proposed approach can make timely medication adherence monitoring cost-effective and widely accessible. Additional investigation is needed to improve the robustness of the approach and extend its applicability to other therapies and other sources of data.
“ Food Security , Nutrition and Sustainable Agriculture-Emerging Technologies ” ( February 14-16 , 2019 ) Genetic analysis of Fusarium stalk rot resistance in maize ( Zea mays L . )

The present investigation was conducted to understand the genetics of resistance to Fusarium stalk rot (FSR) resistance in maize through six-generation mean analysis in the cross, CM202 × P12 during kharif 2017. CM202 was a resistant line to FSR disease while P12 was highly susceptible. The F1 showed susceptible reaction to the disease. The scaling tests and joint scaling tests indicated the inadequacy of additive-dominance model and showed the presence of epistatic gene effects in the cross for Fusarium stalk rot resistance. Further study of genetic effects revealed the preponderance of additive and additive × additive gene effects in the expression of FSR and duplicate type of interaction was observed in the expression of disease. The potence ratio of more than one indicated that FSR could be under control of over dominance. The number of effective factor was found to be one with high heritability estimate in the inheritance of resistance to FSR which indicated the effectiveness of simple selection strategies in isolating superior inbreds.
PROBATION BETWEEN COUNSELLING AND SUPERVISION

The purpose of this article is to highlight the perspective of the probation counsellors from N. -E. Romania on the nature and particularities of their relationship with the supervised persons. In order to conduct such an analysis, we used data collected from 12 interviews with the probation counsellors in the aforementioned region. The data was interpreted using the Grounded Theory inductive methodology. Among the most important results, there is the fact that the professionals define a dual nature of the relationship: supervision and counselling doubled by support.
Effect of Role Ambiguity and Role Conflict in Predicting Work-Family Conflict Among Teachers

The present research aimed to investigate the relationship between role ambiguity, role conflict, and work-family conflict (WFC) among colleges and university teachers. Moreover, it aimed to see the predicting role of role ambiguity and role conflict to WFC as well as the role of gender and marital status on study variables. A sample of 200 teachers with equal participation of both the genders was approached by using convenient sampling technique. Role Ambiguity Scale, Role Conflict Scale, both developed by Rizzo et al (1970), and Work-Family Conflict Scale (Netemeyer, Boles, & Mcmurrian, 1996) were used for data collection. All the scales and subscales have the satisfactory alpha reliabilities. Results demonstrated that work-family conflict was positively related with the WFC and family to work conflict. Besides, work-family conflict was positively related with role ambiguity and work to family conflict was positively associated with role ambiguity and negatively related with role conflict. In addition, role ambiguity positively predicted WFC and role conflict negatively predicted the WFC. Male teachers scored significantly high on role ambiguity as compared to female teachers and married teachers scored significantly high on role ambiguity as compared to unmarried teachers. At the end, the results were discussed in terms of implications for practice and research.
Tilburg University Stimulation of the subthalamic region facilitates the selection and inhibition of motor responses in Parkinson ¿ s disease

& The aim of the present study was to specify the involvement of the basal ganglia in motor response selection and response inhibition. Two samples were studied. The first sample consisted of patients diagnosed with Parkinson’s disease (PD) who received deep-brain stimulation (DBS) of the subthalamic nucleus (STN). The second sample consisted of patients who received DBS for the treatment of PD or essential tremor (ET) in the ventral intermediate nucleus of the thalamus (Vim). Stop-signal task and go/no-go task performances were studied in both groups. Both groups performed these tasks with (on stimulation) and without (off stimulation) DBS to address the question of whether stimulation is effective in improving choice reaction time (RT) and stop-signal RT. The results show that DBS of the STN was associated with significantly enhanced inhibitory control, as indicated by shorter stop-signal RTs. An additional finding is that DBS of the STN led to significantly shorter choice RT. The effects of DBS on responding and response inhibition were functionally independent. Although DBS of the Vim did not systematically affect task performance in patients with ET, a subgroup of Vim-stimulated PD patients showed enhanced stop-signal RTs in on stimulation versus off stimulation. This result suggests that the change in performance to stop signals may not be directly related to STN function, but rather results from a change in PD function due to DBS in general. The findings are discussed in terms of current functional and neurobiological models that relate basal ganglia function to the selection and inhibition of motor responses. &
EMMI POIKULAINEN RECOMBINANT WHOLE CELL BACTERIAL BIOSENSORS IN THE SCREENING OF NATURAL EXTRACTS

EMMI POIKULAINEN: Recombinant whole cell bacterial biosensors in the screening of natural extracts Tampere University of Technology Master of Science Thesis, 65 pages, 2 Appendix pages November 2018 Master’s Degree Programme in Biotechnology Major: Biomeasurements and imaging Examiners: Assistant Professor (Tenure track) Ville Santala and University Lecturer Meenakshisundaram Kandhavelu
Past and Future Burden of In fl ammatory Bowel Diseases Based on Modeling of Population-Based Data

CL IN IC AL AT Stephanie Coward, Fiona Clement, Eric I. Benchimol, Charles N. Bernstein, J. Antonio Avina-Zubieta, Alain Bitton, Mathew W. Carroll, Glen Hazlewood, Kevan Jacobson, Susan Jelinski, Rob Deardon, Jennifer L. Jones, M. Ellen Kuenzig, Desmond Leddin, Kerry A. McBrien, Sanjay K. Murthy, Geoffrey C. Nguyen, Anthony R. Otley, Remo Panaccione, Ali Rezaie, Greg Rosenfeld, Juan Nicolás Peña-Sánchez, Harminder Singh, Laura E. Targownik, and Gilaad G. Kaplan
(MEASURING THE COMPLEX iPERMITTlVlTY OF SINGLE AND COMPOUND DIELECTRIC MATERIALS

This letter dtlrcttsses the basic philosophy of a fully three-db mensional finite-element method for collector design together with its main features. In particular. attention is focused on the dedicated mesh generator and the strategy followed for the solution of the coupled electromagnetic and motionrrl problem within the same finite-element discretization context. An example of simulation is carried out. and inclications offuturc applications are also provided. © 2000 John Wiley & Sons, lnc. Microwave Opt Technol Lctt 26: 119-122, 2000.
Distribution, abundance, and clutch size of hawksbill turtle nests in Melaka, Malaysia

The nesting of hawksbill turtle (Eretmochelys imbricata) was monitored from 2006 until 2014, while the eggs survival was monitored from 1990 until 2014 at the beaches of Melaka, Peninsular Malaysia. From 2006 until 2014, the yearly nesting ranged from 353 to 568 nests with a mean of 431.6 (n=9). Among the 21 recognized nesting beaches, five of the main beaches that included Padang Kemunting (55-107 nests), Pulau Upeh (36-111 nests), Kem Terendak (31-98 nests), Pasir Gembur (28-59 nests), and Tanjung Serai (14-60 nests) recorded the highest nesting in Melaka. Yearly number of live hatchlings ranged from 27.9% to 81.4% from 1990 until 2014. In 25 years, the overall number of live hatchlings produced was 491,643 hatchlings (53.4%) from 920,996 eggs. Hawksbill turtle eggs ranged from 9 to 212 eggs from the observation in 2013 and 2014, and most of the clutch sizes were deposited in a group of 121-150 eggs (36.2% observations). This study provides basic knowledge on the distribution and number of hawksbill turtle for a period of 25 years in Melaka; besides providing suggestion and recommendations to the conservation of this endangered species.
1 The CXCR 4-CXCL 12-axis is of prognostic relevance in 2 DLBCL and its antagonists exert pro-apoptotic effects 3 in vitro 4

In tumour cells of more than 20 different cancer types, the CXCR4-CXCL12-axis is 26 involved in multiple key processes including proliferation, survival, migration, invasion, and 27 metastasis. Since data on this axis in diffuse large B cell lymphoma (DLBCL) are inconsistent and 28 limited, we comprehensively studied the CXCR4-CXCL12-axis in our DLBCL cohort as well as the 29 effects of CXCR4 antagonists on lymphoma cell lines in vitro. In DLBCL, we observed a 140-fold 30 higher CXCR4 expression compared to non-neoplastic controls. Interestingly, high expression of 31 CXCR4 was associated with poor clinical outcome. Furthermore, in corresponding bone marrow 32 biopsies, we observed a correlation of CXCL12 expression and lymphoma infiltration rate as well 33 as a reduction of CXCR4 expression in remission of bone marrow involvement after treatment. 34 Furthermore, the niacin derivate of the CXCR4 antagonist AMD070, which was synthesized by us, 35 demonstrated stronger pro-apoptotic effects than AMD070 in vitro and induced expression of 36 certain pro-apoptotic genes in CXCR4 positive lymphoma cell lines. Finally, WK1 treatment 37 resulted in reduced expression of JNK-, ERK1/2and NFκB/BCR-target genes. These data indicate 38 that the CXCR4-CXCL12-axis impacts the pathogenesis of DLBCL and represents a potential 39 therapeutic target in aggressive lymphomas. 40
Transgenic Technologies Based on Transposons Transgenní technologie založené na transpozonech

Genenetic engineering is one of the leading technologies in biological research. Transgenesis, one of the most important genetic engineering technologies, enables to study genetic aspects of organismal systems and thus helps us to better understand to the functional characteristics of genomes. Transposons are naturally occuring mobile genetic elements, which can be used to artificially integrate transgenes into host cell genomes. Catalysis of this essential step during transgenesis makes from transposons an useful genetic tool.The aim of this work is to present eukaryotic DNA transposons that transpose in a cut-and-paste-fashion, together with particular mechanisms affecting their function, that can be used as gene delivery system.