Miracle-dz/UniFAR-FTUs huggingface dataset:
Nerve Growth Factor and Gangliosides Stimulate the Release of Glycoproteins from PC 12 Pheochromocytoma Cells

Abstract: PC 12 pheochromocytoma cells in monolayer cultures secrete increased amounts of glycoproteins into the medium following the addition of nerve growth factor (NGF) or of brain gangliosides. After a 48‐h incubation with 50 ng/ml NGF there is approximately a twofold increase in the total [14C] glucosamine‐labeled, ethanol‐precipitable cellular material released into the medium. Between 30 and 50% of the radioactivity is associated with a glycoprotein (Gpl) of molecular weight of 52,000; the remaining radioactivity is distributed between five and six major bands. Only a small amount (10%) is associated with a glycoprotein of Mr > 200,000 which might correspond to the NGF‐induced large external glycoprotein. A substantial increase in the release of the glycoproteins is also seen on the addition of a variety of gangliosides in‐ cluding asialo GMl. This increase is independent of the presence of NGF. GMl and GDlB/GTlb but not GDla stimulate release above the levels seen in the presence of NGF. Addition of GDla (2 (μg/ml) enhances selectively the release of various glycoproteins between 2.6‐and 8‐fold. The pattern of glycoprotein secretion is similar to that seen with NGF, although Gp2 (Mr 78,000) is more abundant. Stimulation of release by GDia is not accompanied by neurite outgrowth, suggesting that the glycoproteins are not directly associated with neuritogenesis. The release of these glycoproteins following the addition of NGF or gangliosides may relate to the neurotrophic properties that these two entirely different ligands exert on PC12 cells.
A QOS-BASED SCHEDULING ALGORITHM IN VANETS

Vehicular Ad hoc Network (VANET)is a kind of mobile Ad Hoc networks (MANETs)that is applied for progress of intelligent transportation system (ITS). Vehicles get various types of data from road-side units (RSUs)including voice, video and emergency data. Since the number of vehicles as well as the number and size of files are potentially large and with regard to the types of files can be various, QOS-based scheduling is a challenge. We inquire the scheduling algorithm problems of file distribution from RSUs to vehicles in an urban environment and propose a new scheduling scheme which considers the types of data and improved the performance of network. Request of vehicles are inserted in to 4 queues: 1) Data-queue 2) voice-queue 3) video-queue 4) emergency-queue. Some scheduling policies are used to choose one queue and serve the vehicles. Furthermore, we gave high priority to some requests such as video and emergency data to achieve high quality. In this regard, Simulation results indicate that the proposed approach provides required performance and quality of service.
Optimal Design of an Axial Flux Permanent Magnet Motor with Flux Control Capability For Electric Vehicles

his paper presents a new axial flux surface mounted permanent magnet motor topology with field control capability which is a good candidate for electric vehicles. The advantage of this motor is the possibility of field weakening at high speeds, which is the most important demand for such applications. The motor structure and sizing equations are discussed. Optimal configuration is then obtained using design optimization. In order to demonstrate the mechanism of the field control and characteristics of this motor, a 1 kW axial flux motor is analysed in detail, using 3D Finite Element Analysis. The air gap flux density, flux linkage and control range components have been evaluated. The FEA results have well validated the analytical design process.
Application of quantitative real-time PCR for quantification of Bifidobacterium adhesion to Caco-2 cells

[Objective] Bifidobacterium adherent to Caco-2 cells were quantitatively analyzed by quantitative real-time PCR, and a rapid and effective method to detach the bacteria from the Caco-2 cells was established. [Methods] Firstly, the Bifidobacterium adherent to the Caco-2 cells were treated by Triton X-100 solution with the aim of separating bifidobacterial cells from the Caco-2 cells. Secondly, quantitative real-time PCR method for quantifying Bifidobacterium was determined by generating a standard curve, evaluating the specificity, sensitivity and reproducibility of the method, respectively. Finally, the adhering capacity of 11 Bifidobacterium to the Caco-2 cells was detected by the method established in this study. [Results] The optimum time for separating Bifidobacterium from Caco-2 cells by Triton X-100 was 10 min. The quantitative real-time PCR method used for determing 杨丽梅等: 应用实时荧光定量 PCR 方法定量检测双歧杆菌对 Caco-2 细胞的黏附 1611 http://journals.im. ac.cn/wswxtbcn adherent ability of Bifidobacterium demonstrated a good reproducibility, a high specificity and sensitivity. When the initial template concentration was in the range of 10−10 CFU/mL, a good linear relationship between bacterial cell counts and Ct value was expressed with the equation of y=−3.345 2x+37.637 0, whose correlation coefficient was above 99%. Compared with the gram staining microscopic examination with the detection time of 48 h, the quantitative real-time PCR method established in this study was able to obtain non-significant results of quantifying the adherent capacity of Bifidobacterium (P>0.05), however, the time for detection was greatly shortened to 4 h. [Conclusion] Triton X-100 separation processing combining with quantitative real-time PCR is a rapid, accurate and sensitive method for detecting and quantifying the adhering capacity of Bifidobacterium to the Caco-2 cells.
Closing the Performance Gap between DRAM and PM for In-Memory Index Structures

Emerging byte-addressable persistent memories such as Intel’s 3D XPoint enable new opportunities and challenges for in-memory indexing structures. While prior work has covered various aspects of persistent indexing structures, it has also been limited to performance studies using simulated memories ignoring the intricate details of persistent memory devices. Our work presents one of the ﬁrst, in-depth performance studies on the interplay of real persistent memory hardware and indexing data structures. We conduct comprehensive evaluations of six variants of B+Trees leveraging diverse work-loads and conﬁgurations. We obtain important ﬁndings via thorough investigation of the experimental results and detailed micro-architectural proﬁling. Based on our ﬁndings, we propose two novel techniques for improving the indexing data structure performance on persistent memories. Group ﬂush-ing inserts timely ﬂush operations improving the insertion performance of conventional B+-Trees by up to 24% while Persistency Optimized Log-structuring revisits log-structuring for persistent memories improving the performance of B+-Trees by up to 41%.
Fault Detection In Induction Machine By Analysis Of Stator Current In Transient Condition By Continuous Wavelet Transform

sing of wavelet transform for monitoring and diagnosis of fault in induction motors is increasing because analyzing of the stator is possible in transient conditions by these methods.This method can be used for local analysis in the domain time frequency or dimension time scale. In this paper, the detection of hanging load fault in a stator current signal is presented using the Morse wavelet in the structure of the continuous wavelet transform. In the proposed algorithm, firstly, the stator current signal is measured by the sensors, then by analogue-to-digital converter of the relevant signal is sampled , using the MATLAB software by wavelet transform,The sampling signal is processed. Experimental and practical results indicate that the method selects the fault with high accuracy and reliability without the need of complex calculation in a short time, which makes it possible to use it in operation. In this paper, the ability to select a wavelet compared to the Bump wavelet is investigated and ultimately the accuracy and ability of the selected wavelet are discussed.
African trypanosomes activate human fetal brain cells to proliferation and IFN-γ production

We addressed the host–parasite interplay and the immunopathogenetic events occurring in the central nervous system (CNS) during human African trypanosomiasis. Human first trimester forebrain cells were stimulated with a trypanosome lymphocyte-triggering factor (TLTF) and studied for their immune response as exemplified by cell proliferation and IFN-γ production. TLTF induced proliferation of human first trimester forebrain cells and IFN-γ production at the mRNA and protein levels. Astrocytes are the major producers of IFN-γ in response to TLTF. These data illustrated for the first time a direct effect of a parasite factor on human brain cells. Targeting TLTF during the course of the disease may be considered in preventing the deadly neurological complications of human African trypanosomiasis.
I NTO THE FUTURE OF NETWORKED EDUCATION

Modern communication and information technologies have offered educators a range of new and exciting possibilities to design their instruction. On the upside, Cybereducation holds many promises for the student: more freedom, more and more readily available resources, more diversity, and more flexibility. On the downside we note that education may become dehumanized and students may drown in a sea of information. This chapter discusses our view of the future of Cybereducation. The first part describes and discusses a recent experiment in Cybereducation: the Virtual Learning Company, a distributed, virtual learning environment, which aims to bridge the gap between education and professional working. Although it makes extensive use of advanced information and communication technologies, the true innovative power of the Virtual Learning Company lies in the underlying, new educational framework. The second part of this chapter is far more speculative. Starting from a number of presumed technological innovations we reflect upon the future of Cybereducation at large. We surmise that the decisive factor is the kind of impact we allow technology to have on the fabric of our society.
Ecology of rocky reef fish of northeastern New Zealand: 50 years on

Abstract This review examines the history and current understanding of the ecology of rocky reef fishes in northeastern New Zealand, marking the fiftieth anniversary of the Leigh Marine Laboratory. The cumulative number of publications increased steadily to c. 180 by 2012. Most attention has been on the snapper (Pagrus auratus, f. Sparidae), the largest in size and economically most important species, and on triplefins (Tripterygiidae), the smallest in size and most diverse family. A strong quantitative school emerged in the 1980s, a period when there was little research on temperate reef fishes elsewhere. A ‘bottom-up’ view of the effects of habitat structure on fish emerged, identifying the key roles of depth, topography and macroalgae. By 2000, attention shifted to using marine reserves as laboratories for ecological research. A ‘top-down’ view of fish as predators emerged, documenting cascading effects on prey communities and habitats. The two different viewpoints have not yet been integrated. Research gaps, including population connectivity and climate change, represent major challenges for the next 50 years.
Running head: LUCID DREAMING AND ATHLETIC PERFORMANCE 1 CHASING DREAMS: THE EFFECT OF LUCID DREAMING ON ATHLETIC PERFORMANCE By Tressa Christine Grummer A dissertation to fulfill the requirements for a DOCTOR OF PSYCHOLOGY IN COUNSELING PSYCHOLOGY

While many researchers have investigated the use of mental imagery to improve performance during wakefulness, the research in regards to using mental imagery while dreaming is still insufficient. A lucid dream is a dream in which the dreamer becomes aware they are dreaming and can sometimes gain control over the dream (Erlacher & Schredl, 2008). Previous researchers have shown psychological responses when people lucid dream about tasks, suggesting that lucid dreaming can be used as a technique to improve performance. The purpose of this study was to examine the effect of mental imagery during lucid dreaming on one's athletic performance. It was hypothesized that if an individual uses mental imagery during lucid dreaming, their athletic performance in sprinting will increase. It was also hypothesized that if an individual uses mental imagery during lucid dreaming, their athletic performance will increase more than an individual using mental imagery during an awake state. The participants (n = 48) were both males (24) and females (24), ranging in age from 26-66. They were randomly assigned into one of three groups: (1) Lucid dreaming group, (2) Mental practice group, and (3) Control (no practice) group. They recorded a timed 40 yard sprint before and after the study. They used their assigned form of practice for 30 days. The mental imagery group had a two percent increase in speed, the control group had a three percent increase in speed, and the lucid dreaming group had a four percent increase in speed. However, statistical analysis determined that there was no statistically significant difference between the groups and more research is needed in order to draw any direct conclusions. Future research would benefit from having a larger number of participants that were higher level athletes in order to increase motivation and consistency in participants. LUCID DREAMING AND ATHLETIC PERFORMANCE 3 Table of
Islamic Financial Development and Economic Growth of Emerging Economy of Pakistan; a Panel Data Approach

ARTICLE DETAILS ABSTRACT History Revised format: February 2020 Available Online: March 2020 The aim of study is to investigate the dynamic interactions between five pure Islamic banks of Pakistan and economic growth by using Panel ARDL method over the period of 2006-2016. The study elaborates strong confirmation and advocates the significant positive long-run connection with economic growth. However, in short-run, each bank has individual significant positive association with economic growth in its individual capacity. The findings of this study are very encouraging which signify a considerable contribution to recognize how pure Islamic banks activities translated into economic performance of the country. Although prudential regulations of State Bank of Pakistan are quite sound and their legislative structure and policy framing is also equally good but they are required to enhance the number of pure Islamic banks in the country for offering multiple options to clientele in order to promote Islamic economic activities in the country to make Pakistan more prosperous.
Chessboard with Feedback for Learning Rules and Strategy

Learning a set of rules and strategy, such as for the game of chess, can be difficult. The optimal way for a person to learn is based on their primary learning style. Three of the learning styles have been classified as visual, kinetic, or auditory. Rules of chess are often presented as written or verbal instructions that may be of less benefit to people who are primarily visual or kinetic learners. Even computer chess games that only utilize the keyboard or mouse for user input may be of less benefit to kinetic learners. We are developing an interactive chessboard system that will benefit learners who are primarily visual and kinetic. The system has real chess pieces on a real board, with an internal digital controller that can light up selected square positions of the chessboard. The user selects a chess piece to potentially move by pushing down on this piece to activate a switch. Then all of the possible locations where this piece could move will be lit up. The kinetic interaction would be similar to that of a conventional chess game, not requiring additional user input of location and type of piece to the digital controller. The additional feedback of lit up squares should aid understanding the limitations of each type of piece and how the game might progress. The techniques used in this system will aid cognitive development for learning complex rules and strategy. Such development will enhance the future mastery of engineering tasks that also involve complex rules and strategy.
APPLICATIONS OF MACHINE LEARNING ALGORITHMS TO THE PROBLEM OF DETECTING UNKNOWN DATA

Nowadays, the term big data means the work with large volumes and diverse composition, very often updated and located in different sources in order to increase work efficiency, create new products and increase. The problem of understanding a large number of unstructured and previously unknown data for the task is usually manually solved by a team of mathematicians and analysts who find it difficult to retain the value of all the data and all the hidden relationships of the incoming multidimensional array. However, in order to classify data, a full understanding of it is required. Today, there can be a lot of data sources: data from sensors of critical equipment (“Internet of things”), transactional “tires” and databases, electronic documents and paper media. In this regard, the quality of classifiers of most of the studying models decreases significantly. This article describes various machine learning methods for the classification of previously unknown data and ways to improve the quality of models. The advantages and disadvantages for each of the models are described, as well as the necessary and sufficient conditions for use. As experimental data, the Otto Product Classification dataset were taken from the open database.
Mapping Their Lands on the Caribbean Coast

indigenous people of Nicaragua’s Caribbean Coast remember 1979 as the year that isolation turned into conflict. Then, as now, access to these communities was made difficult by a lack of roads, variable mountainous terrain, obstructive jungles, and an annual rainfall of five meters. Religious, racial, and ethnic differences also separated these coastal peoples from other Nicaraguans and the Nicaraguan government that had long allowed the Caribbean coastal communities to experience cycles of relative prosperity, followed by benign neglect. These cycles rose and fell, depending on outside interest in coastal assets. In the 1960s and 1970s, as pine-tree resources were depleted and mineral deposits became more difficult to extract, a period of disinterest fell over the region. In 1979, though, the Sandinistas seized control of the government. Not long after, the Contras and other anti-Sandinista forces engaged them in a 10-year war that relocated thousands of coastal residents and killed hundreds. The isolation had been broken, but at a steep price. Since the fall of the Sandinista government in 1990, international and Nicaraguan entities have increasingly sought to capitalize on the coast’s valuable
Fatty acid and nitrogen utilization of processed flaxseed by adult chickens

The effect of flaxseed processing on the utilization of fatty acids and nitrogen were examined in adult chicken. Two batches (A and B) of flaxseed were processed by autoclaving, pelleting, or microwave roasting. Thirty grams of the ground ingredient was given to fasted Leghorn roosters. The apparent digestibility of total fatty acids of raw flaxseeds A and B were 660 and 490 g kg−1, respectively. Its improvement (p 0.05). Furthermore, roosters given canola seed had significantly higher true nitrogen utilization (p 0.05) with processed flaxseed. Proper flaxseed processing effectively increases the utilization of major fatty acids and nitrogen in flaxseed for adult chicken. Copyright © 2005 Society of Chemical Industry
Distribution patterns of interstitial polychaetes in sandy beaches of southern Brazil

This study describes the distribution patterns of interstitial polychaetes along morphodynamic gradients on six exposed sandy beaches in Santa Catarina and Parana (South Brazil). Three random transects were sampled at two points on each beach, one at the swash and another at the surf zone, in winter and summer conditions. Six sediment replicates were collected at each sampling point using a corer of 4.6 cm internal diameter that removed 10 cm into the sediment. Abundance and composition of interstitial polychaete were correlated to wave height, slope, grain size, CaCO3, chlorophyll a, omega indexes, temperature and relative tide range using a canonical correspondence analysis (CCA). A factorial ANOVA showed that taxa richness, mean density and Shannon’s diversity were significantly higher at the reflective beaches, but average values differ significantly between transects and these differences change according to the beach zones on both sampling dates. PERMANOVA showed that polychaete associations differ among transects according to the beach zones. The composition of interstitial polychaete associations was significantly correlated to beach morphodynamics and features (P < 0.01). Polychaete associations of reflective beaches were more diverse than in other morphodynamic states. Intermediate beaches may also sustain diverse associations due to temporal variability of the morphodynamic patterns. Beaches presenting extreme dissipative morphodynamics and compacted sediments appear to be unfavourable for the occurrence of interstitial polychaetes.
Does political instability influence dividend payout policy: evidence from Tunisian Stock Exchange?

The purpose of this study tests whether political instability influence financial decision-making behavior of Tunisian-listed firms, in particular dividend payout policy. ,This paper uses dividend payout decisions announced over the period 2008–2015 by nonfinancial firms listed on the Tunisian Stock Exchange. A logistic regression is applied to analyze the relationship between political instability and dividend payout decision “changes. These latter are: past non-payers” dividend initiation, past payers' dividend termination, dividend payout “increasing and dividend payout” decreasing. Political instability variables used are as follows: number of changes in government head and dummy variables indicating the changes of ruling party and election year. ,This study shows that government head changes are positively related to dividend initiation decisions while changes in ruling party are negatively related to termination dividend decisions except for family controlled ones. These firms are more likely to stop dividend on period of ruling party changes. Moreover, firms become unwilling to increase dividend payment on the period of political instability (changes in ruling party and government head and elections) and become willing to decrease dividend payment only when the government head changes. ,The empirical findings contribute to the current debate on the signaling power of dividend policy in emerging market where raising equity capital is difficult and controlling shareholders prefer reinvest benefit to pay dividends. In addition, this study has important implications for regulators and governments struggling to design policies to improve investors' confidence and boost market activity. Indeed, investors may use corporate payout as a signal for better governance. ,To the author' best knowledge, this paper is the first to investigate and to compare the effect of three political instability sources; government head changes, changes in ruling party and elections, on dividend payout decision changes. This paper provides evidence that firms facing political unstable environment seek to achieve two goals when they make dividend policy: reducing financial distress probability and attracting minority owners.