Miracle-dz/UniFAR-FTUs huggingface dataset:
Primitive Chain Network Simulations for Pom-Pom Polymers in Uniaxial Elongational Flows

It is widely accepted that the nonlinear viscoelasticity of polymers with long chain branching can be described by the pom-pom theory [J. Rheol. 1998, 42, 81] that accounts for branchpoint withdrawal (BPW) as a nonlinear relaxation mechanism of the backbone. In spite of the remarkable success attained by refined theories derived from the original pom-pom model, there remain a few questions on the consistency with the theoretical development for linear polymers. For instance, convective constraint release (CCR) is neglected in the pom-pom theories. In this study, primitive chain network simulations were performed to investigate the details of molecular motion under uniaxial elongation. The simulation automatically includes thermal and convective constraint release via the multichain dynamics. The code that was assembled with finitely extensible nonlinear elasticity (FENE), BPW and the stretch-orientation/induced friction reduction (SORF) shows a reasonable agreement with literature data of linear viscoelas.
Controlling the external device in real-time using eeg brain signals based on eyes states

The paper proposes a new method to control external device in real-time using electroencephalography-based brain signals. The brain signals of a healthy female student at F7 and F8 channels are recorded from Emotiv Epoc+. They are filtered using a combination of wavelet approach and recursive least square estimation to remove unwanted noises. Open and closed eyes states are extracted from filtered brain signals. The support vector machine approach is applied to classify two states of eyes (open and closed). The classified eyes states are utilized to generate the on and off commands, respectively. Those commands are sent to an Arduino control board to control on and off states of the light. Experimental results showed that the average accuracy of two control commands is 81.6%. The obtained results promise for extraction of more commands that can be utilized for applications in daily life.
11-Identification and Predicting Heart Disease with Data Mining methods - A Survey

: Data mining mechanisms allow to create proactive decision making systems. Data mining methods can respond to any environment that usually involve more time and complexity in decision making . In this paper we considered several mechanisms in which data mining methods are used for the prediction of Heart Disease. The data mining systems specifically Decision Tree, Naïve Bayes, Neural Network, K-means Clustering, affiliation arrangement, Support vector machine algorithms are examined on Heart Disease database. This paper examined the general audit of Heart Disease diagnosis, utilizing different data mining strategies. These procedures of data mining utilized as a part of Heart Disease prediction take less time and make process easier and earlier for the diagnosis of Heart Disease with great precision so as to enhance heart safety. This paper investigates distinctive data mining strategies which are utilized as a part of human services for the diagnosis of heart infections utilizing data mining procedures. In this manuscript after discussing about different methodologies, a new fuzzy neural genetic approach is proposed which can exhibit much better performance for earlier heart disease prediction when compared to existing methods.
University of Groningen Myeloid I kappa B alpha Deficiency Promotes Atherogenesis by Enhancing Leukocyte Recruitment to the Plaques

Activation of the transcription factor NF-kB appears to be involved in different stages of atherogenesis. In this paper we investigate the role of NF-kB inhibitor IkBa in atherosclerosis. Myeloid-specific deletion of IkBa results in larger and more advanced lesions in LDL-R-deficient mice without affecting the compositional phenotype of the plaques or systemic inflammatory markers in the plasma. We show that IkBa-deleted macrophages display enhanced adhesion to an in vitro endothelial cell layer, coinciding with an increased expression of the chemokine CCL5. Also, in vivo we found that IkBa mice had more leukocytes adhering to the luminal side of the endothelial cell layers that cover the atherosclerotic plaques. Moreover, we introduce ER-MP58 in this paper as a new immunohistochemical tool for quantifying newly recruited myeloid cells in the atherosclerotic lesion. This staining confirms that in IkBa mice more leukocytes are attracted to the plaques. In conclusion, we show that IkBa deletion in myeloid cells promotes atherogenesis, probably through an induced leukocyte recruitment to plaques. Citation: Goossens P, Vergouwe MN, Gijbels MJJ, Curfs DMJ, van Woezik JHG, et al. (2011) Myeloid IkBa Deficiency Promotes Atherogenesis by Enhancing Leukocyte Recruitment to the Plaques. PLoS ONE 6(7): e22327. doi:10.1371/journal.pone. 0022327 Editor: Jaswinder K. Sethi, University of Cambridge, United Kingdom Received January 21, 2011; Accepted June 26, 2011; Published July 21, 2011 Copyright: 2011 Goossens et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by the Netherlands Heart Foundation (grant no. 2005B175), Netherlands Organization for Scientific Research (ZonMW VIDI 917-66-329 to MPJdW), the European Union (Marie-Curie MEST-CT-2005-020706/CADRE2 to PG) and the European Vascular Genomics Network (EVGN). MPJdW is an established investigator of the Netherlands Heart Foundation (2007T067 and 2009T034). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: dewinther@maastrichtuniversity.nl
Collaborative Development of Medical Devices: Qualitative Study of Communication Between Engineers and Medical Doctors

Background: While research shows the importance of the interdisciplinary collaboration between medical doctors and engineers to successfully develop medical devices, there is scarce literature specifically exploring what makes these partnerships work. This paper examines the gap between engineers and medical doctors by exploring the enablers, barriers and difficulties of their collaboration and communication through the qualitative case study method. Methods: This pilot study explores the experiences of two surgery residents and three engineers in training who have had the collaborative work experiences in medical device design. Data sources include interviews, lab observations, and interview notebooks. The interviews were conducted with engineering students at UBC who have had work experience with clinicians/residents and surgery residents who have had work experiences with engineers. Conclusion: While maintaining a successful collaboration is challenging, engineers and residents were both interested to continue collaboration and emphasized the importance of collaboration in designing medical devices. There is no question that there are hurdles in the communication between these two professional groups, such as knowledge deficiency, differing priorities and lack of sufficiently dedicated time; however, both groups found collaboration necessary and effective in the whole process of developing medical device technology. Keywords— Communication, Collaboration, Medical devices
The Use of Interactional Metadiscourse Markers in English Book Reviews Across Disciplines

The study aimed to investigate the frequency and type of stance and engagement features in each move of book reviews of soft and hard disciplines according to Hyland’s (2005) Interactional Metadiscourse taxonomy. A corpus of 102 book reviews published by 30 first quality journals in 6 disciplines was randomly selected and analyzed. The results indicated a significant difference between book reviews in terms of stance markers. Furthermore, Move 2 (Outlining) enjoyed the highest frequency of stance features, while move 4 (Evaluation) contained the least frequency of stance features. Also, a significant difference was observed in the use of stance markers in Introducing, Outlining, and Highlighting. However, using engagement markers, the significant difference was only in the highlighting.
On the Entropy Rate of a Random Walk on t-Designs

In this paper, a random walk on t-designs are considered. We assign a weight to each block and walk randomly on the vertices with a probability proportional to the weight of blocks. This stochastic process is a Markov chain. We obtain a stationary distribution for this process and compute its entropy rate. It is seen that, when the blocks have the same weight, the uniform distribution on the vertices is a stationary distribution and the entropy rate depends only on the number of vertices.
Synthesis and characterizations of titanium nitride nanofibers prepared using nitridation method

In this paper, titanium nitride nanofibers (TiN NFs) were successfully synthesized by nitridation of TiO2 nanofibers, in which the TiO2 nanofibers were prepared by using electrospinning method. The XRD patterns and Raman spectra indicate that transformation of TiO2 into TiN crystalline structure was succeeded at 900C in ammonia at flow rate of 800 sccm in 60 mins. The SEM images show no significant change in morphology, however, surface of the sample annealed at 900C becomes rougher compared to that of TiO2 nanofibers. The UV-vis absorption spectrum of TiN illustrates a strong and broad absorption peak at 530 nm which covers entire visible part of the solar spectrum. The as-synthesized samples were used to test solar water evaporation and the results indicate that TiN nanofibers are great nano-heater sources to enhance water evaporation performance.
Combining Infrared,Near Infrared with Soft Independent Modeling of Class Analogy for Identification of Vegetable Blend Oil

The analytical methods were developed to discriminate and analyze vegetable binary and ternary blend oil using NIR and IR spectroscopy with the aid of SIMCA.The methods of SIMCA and spectra pretreated by cluster technique of NIRCal5.2 were able to classify the samples of blend oil.The spectra information as variance was used in the processing of spectra pretreated,and 2/3 of samples were selected for calibration and the other for validation.In the cluster-principal component analysis(CLU-PCA) ,the spectra information of blend oil distributes with the pure oils and the spectra have overlapped with the pure oil when the proportion is smaller or greater.The spectral range of NIR is 4000-10000 cm-1,but the subdomain IR is at 1099,1119,1746 and 2855 cm-1 . NIR-SIMCA was applied to identify 15 kinds of binary mixts and 2 kinds of ternary mixts oils.IR-SIMCA was applied to identify 10 kinds of binary mixts oils and 2 kinds of ternary mixts oils. The results show that the identification accuracy are 100%,and the minimum ratio recognited is 1%based on the data of experimental.
New Challenges in Accounting and Finance

This paper identifies the relationship between the nationality of shareholding nationality, controllership and organizations characteristics than 426 companies publicly listed in Brazil, Bolsa e Balcão (B3). The organization structure is characterized for the standardize structure through the similar actions with the objective for guide the company to achieve its long‐term purposes set as goals. The organizational characteristics are single and needed to be in consistence with the mission, vision and values of the companies. The research was characterized as exploratory, descriptive and quantitative, using the documental research technique and relying on a checklist as a data collection instrument. The operationalization of the data took place by descriptive and inferential statistics. The results indicated that regardless of the nationality of the company's shareholding control, its business behavior is similar, its cultures, values and characteristics are not related to the organizational characteristics adopted, identifying isomorphic behaviors. This perspective of isomorphic behaviors believes the companies have tendencies for to copy practices and customs of others, making them similar, independent of their symbols, myths and beliefs. Although many works talk about the individual characteristics of companies, this study identifies the isomorphic behavior among all publicly traded companies listed on the Brazilian stock exchange.
Potential hypoglycemic & hypolipidemic effect of Morus Indica and Asystasia gangetica in alloxan induced diabetes mellitus

The present research was made to investigate the potential hypoglycemic and hypolipidemic effect of Morus Indica and Asystasia gangetica in alloxan induced diabetes mellitus. Diabetes was induced by alloxan (150 mg/kg i.p) in to rats. Ethanolic extract of leaves of Morus Indica and Asystasia gangetica was administered to alloxan induced diabetic rats. Glibenclamide used as a reference standard. Blood glucose, triglycerides, cholesterol, HDLcholesterol, LDL-cholesterol and total proteins were estimated from the serum by using standard kits. All groups show significant increase in the level of biochemical parameters were decreased by administration of ethanolic extract of leaves of Morus Indica and Asystasia gangetica. From this study it has been concluded that the ethanolic extracts of leaves of Morus Indica and Asystasia gangetica having good hypoglycemic and hypolipidemic effect.
MSc in Computational Mechanics NONLINEAR OPTIMAL CONTROL: A COMPUTATIONAL STRATEGY AND APPLICATION TO A MICRO-SWIMMER Submitted to the University of Wales in fulfilment of the requirements for the Degree of Master of Science

This work is a preliminary work for the development of a numerical strategy for the optimal control of Fluid-Structure Interactions systems. A simple model is chosen to address such problems. This work focuses only on the solution of highly nonlinear systems, ignoring the coupling aspect of Fluid-Structure Interaction problems. A simple three-spheres micro-swimmer is chosen as a model problem. The motion equations of the micro-swimmer are presented and later expressed as an optimal control problem. The Variational approach is applied to the micro-swimmer problem and necessary equations are derived. A monolithic computational strategy is suggested for the solution of a nonlinear two-point boundary value problem. The validation of the numerical strategy for linear and nonlinear problems are presented. Finally, the optimal stroke of the swimmer is obtained for different initial guesses. Furthermore, the analysis of different numerical integration methods is conducted. A comparative study is also done to monitor the energy waste for different number of strokes necessary to reach a prescribed displacement. It is shown that the formulation and numerical strategy used in this work are suitable to the micro-swimmer problem and can be extended to more complex systems.
Novel method for determination of heterocyclic compounds and their impact in brewing technology

A new simultaneous method for determination of 16 heterocyclic compounds using SPE sample preparation and GC-MS determination was developed regarding increasing interest of the role of sensory active compounds in beer. LiChrolut® EN SPE columns proved to be optimal for both, a mixture of analytes with a different polarity and such complicated matrix as beer. Recoveries of individual analytes are about 100% except for three compounds (2-methylpyridine about 30%, maltol and furaneol about 50%); repeatability, uncertainty and LOQ are satisfactory for the method application. The method was used for monitoring of heterocyclic compounds formation during roasting, mashing, hop boiling and fermentation. To summarize, during roasting of malt, the concentration of oxygen heterocycle compounds (OHC) increases more rapidly in comparison with nitrogen heterocycles compounds (NHC) till a critical point where OHC starts to decrease and NHC starts to be formed sharper (with the exception of 2-acetylpyrrole which is similar to OHC). Finally, the total concentration of NHC during fermentation rapidly decreases whilst the OHC concentration is influenced by many factors, e.g., fermentation conditions and yeast strain.
The Russian Language Text Corpus for Testing Algorithms of Topic Model

software and services. For instance, software for reading news feeds is capable of grouping news by topics, search engines fi nd documents with information of value for the user and mailing services fi lter spam messages automatically. Various algorithms are used for clustering and classifi cation of text data; most popular are k-means, SVM, neural networks. An upcoming trend in automatic processing of texts is development of probabilistic topic modelling algorithms. Topic modelling is a method of building of a topic model of a text documents collection. The topic model sets the ratio between topics and documents in the corpus of texts. For the fi rst-time topic modelling was described in the paper by C. Papadimitriou, P. Raghavan, H. Tamaki, and S. Vempala in 1998 [1]. Thomas Hoffman in 1999 proposed probabilistic latent semantic indexing (PLSI) [2]. One of most popular topic models is Latent Dirichlet Allocation (LDA), this model is the generalization of probabilistic semantic indexing and was developed by David Blei, Andrew Ng and Michael I. Jordan in 2002 [3]. Other topic models are usually an extension to LDA. Fig. 1 is an example of building a topic model of a document. Algorithms of topic modelling are oriented at the work with a natural language text. Initial solutions were based on a suggestion that text is a “bag of words”, i. e. word order in the text is of no value. Further models have successfully implemented algorithms that consider dependencies between words with the help of latent Markovian models. The review [4] considers fi ve primary Abstract. This paper proposes a special corpus for testing algorithms Topic model SCTM-ru. In the conditions of the prompt growth of quantity of data, the problem of development of tools and systems for their automatic processing. To create systems and testing algorithms should be suitable datasets. Existence of free collections of documents, text corpora in Russian, is necessary for researches methods of natural language processing, considering linguistic features of language. Designated special housing requirements: must be distributed under a free license, the number of documents should be suffi cient for the study, must include the text of documents in natural language should contain demanded algorithms Topic model information. The comparative analysis of corpus in Russian and foreign languages is carried out, discrepancy of characteristics of the existing corpus with the designated requirements is revealed.
Designing An Application of Software Project Management By Using Framework Scrum (SPM-Scrum)

Most of failures of startup application in many countries reached 75%, while the startup failures in Indonesia reached 90%. These failures were caused by non-technical or management factors in managing startup. The RPL (Software Engineering) Laboratory of FILKOM of Brawijaya University has a roadmap to develop an application to guarantee the success of a management software project. The data analysis had been performed on FILKOM studentâ€™s thesis work which generally develops software that has main obstacle in the management. A study solution which was developed through scientific SDLC and PMLC combined with Scrum method becomes an application named SPM-SCRUM. The results of analysis carried out on several software development projects refer to the Iterative SDPM process. Furthermore, the strategy of Iterative SDPM combined with Scrum method produces a system architecture design that separates the Front End and Back End
The Impact of Student Teams Achievement Divisions Technique on Boosting Descriptive Writing Ability of Iranian EFL learners

Since students are required to prepare their papers in well-organized written works, it is important for academic learners to have a good command of writing skill. One of the methods gaining a reputation in enhancing students’ performance in language teaching is cooperative learning. This study intends to examine the effect of one of the CL techniques on enhancing upper-intermediate EFL learners’ descriptive writing ability. Fifty participants of this study were assigned into two groups. First, Nelson general proficiency test was administered to make sure both are homogeneous in terms of general proficiency. Then, a writing pre-test was given to both groups to examine if they possess the same writing proficiency. Analysis of both Nelson and writing pre-test showed that both groups were at the same level at first. The experimental group received treatment using Student Teams Achievement Divisions (STAD) as a cooperative learning technique while the routine teaching method was implemented to the control group. After carrying out the treatments for 16 sessions, the writing post-test was given to both groups. The results rejected the first null hypothesis and showed STAD was efficient in increasing students' writing ability. The second null hypothesis was supported since the p value for this test was 0.74 and higher than 0.05 meaning males and females were similar in their performance. This study has implications on teaching and learning descriptive writing. This study also indicates that STAD is an effective alternative method and can be utilized by teachers to enhance the mastery of writing skill.
Overview of Cyberattacks Against Radio Access Networks in Long-term Evolution Mobile Networks and Defense Solutions

Mobile communication standard has been extensively developed to introduce many more connected devices for the Internet of Things (IoT). However, the vulnerability of radio access network (RAN) in long-term evolution (LTE) would impact the security of IoT applications by LTE. RAN transmits/receives data over the air interface and is vulnerable to many active and passive attacks as RAN procedures typically occur before any security establishment. With the growth in devices connecting to the Internet, massive-scale attacks would be easier for the attackers to execute. This work practices those attacks against certain individual telecommunication service providers (TSPs) in Taiwan with various kinds of mobile devices. The potential solutions against the attacks in RAN are also introduced for the defense in this work.
Evaluation of Vaginal Lactobacilli with Potential Probiotic Properties and Biotherapeutic Effects isolated from Healthy Turkish Women

In this study, strains isolated from vaginal flora of healthy women were used. The anti-proliferative or cytotoxic effects of these strains on the HeLa [Human Cervical Carcinoma Cell] and Caco-2 [Human Colon Carcinoma Cell Line] cells after various in vitro tests to evaluate the probiotic potential of these strains were investigated. All strains were found to be resistant to low pH and high bile salt concentrations. It has been determined that vaginal strains have a broad spectrum of antimicrobial activity against urogenital pathogens and are resistant to frequently prescribed antibiotics for these pathogens. At the end of the 4 th hours, all tested isolates had autoaggregation capacity between 63.6% and 85.2%. The strains were found to be well coagulated with microorganisms (Escherichia coli and Candida albicans) which cause vaginal and urogenital infections. In addition, the metabolites of L12, L13 and L19 strains had a significant antiproliferative effect (75-90% mortality rate) on the HeLa and Caco2 cell lines. These strains with superior probiotic properties alone or with other strains having strong probiotic properties can be thought to contribute to the development of a new probiotic formulation to help improve maintain urogenital health and to reduce the clinical symptoms caused by vaginal infections.