Miracle-dz/UniFAR-FTUs huggingface dataset:
Automating Cell-based Apoptosis Assays with the Eppendorf epMotion ® 5075 t increases the reproducibility

Cell-based assays have become an established and widely used tool in modern life sciences, whether basic research or routine drug screening. Performing cell-based assays can be laborious and time consuming when multiple parameters such as different cell types, compounds, concentrations etc. have to be assessed at the same time. Medium scale benchtop automation can significantly facilitate this work, especially when multiple 96 or 384 well plates have to be processed, while simultaneously increasing quality and results consistency, making different sets of experiments more comparable. In this study HeLa and Jurkat cell lines were cultivated in Eppendorf Cell Imaging plates and treated with different concentrations of staurosporine, a compound well characterized to induce apoptosis. The level of apoptosis was determined via the Apo-ONE® Homogeneous Caspase-3/7 Assay (Promega®) that generates a fluorescent signal measured by the Eppendorf PlateReader AF2200. A comparison of a manual and automated approach shows that automating the entire workflow of an apoptosis assay including cell seeding, compound dilution and addition, and assay setup with the Eppendorf epMotion 5075t automated liquid handling system generates reliable and consistent results without the risk of contaminating the cultured cells and also increases the reproducibility.
Linear approach for twin-Hypersphere support vector machine

Data classification by support vector Hypersphere which is a competitive method to all other methods usually ends in non-convex problems. In this paper, we will present a new method for classifying data based on the use of separating Hypersphere. Our main idea is to linearize the constraints of the problem to get rid of the non-convexity.
Compiler Aspects of Hardware Accelerators

Hardware accelerators are first-class building blocks in modern computing devices. Ranging from data centers to mobile devices, hardware accelerators are designed and developed in order to run certain applications more efficiently. The interaction between hardware accelerator design and compiler support has continued to become critical in order to make systems more efficient. In this report, I will describe key efforts in hardware accelerators and their philosophy for interacting with compilers. Then I will describe my current work in building tools to generate and integrate hardware accelerators automatically.
Interior Point Methods in Optimal Power Flow solvers comparison using Matlab

The aim of this paper is to compare four different Optimal Power Flow solvers over Matlab in terms of the application of the Primal Dual Logarithmic Barrier Interior Point Method (PDLB-IPM). The comparison comprises a qualitative part which is about the techniques used by each solver and their principal characteristics and a numerical part that consist in facing several test cases under similar conditions. The comparison shows the differences and similarities in the principal characteristics of the solvers and the techniques employed by them. Also, the numerical tests allow comparing the performance of each solver under similar problems and conditions and to determine the solver with the best behavior. Finally the results are contrasted with other comparisons.
Altitudinal Zonation of Vegetation in Continental West Greenland : A Basis for Monitoring Climate Change

The importance of global change monitoring in the Arctic has quite often been emphasized (e.g. Callaghan and Jonasson, 1995b; Chapin et al., 1992). On the one hand the Arctic contains important drivers of global change, which will also affect other regions of the world: the melting of glaciers and ice caps will lead to a rise in sea-level, the reduction of sea ice will allow increased absorption of solar radiation and a further increase in temperature (Hagen et al., 2001). The thawing of permafrost and increasing decomposition rates of organic soil material have the potential to release considerable quantities of methane and carbon dioxide (e.g. Oechel et al., 1993; Smith and Shugart, 1993; Thannheiser et al., 1998). The polar regions will therefore play a substantial role in driving global climate change through positive feedbacks to global warming (Hagen et al., 2001). On the regional level, climate change can lead to an altered quality of plant tissues as perceived by herbivores (e.g. reindeer and muskoxen) and decomposers (Callaghan and Jonasson, 1995b) and therefore has a great impact on food chains and nutrient cycling in arctic ecosystems. An observation of this regional level is particularly important for the people living in the Arctic who depend on its natural resources (Chapin et al., 1992). On the other hand, the Arctic can serve as an early warning system because the effects of climate change there are expected to be stronger and faster than elsewhere on Earth (Hagen et al., 2001). This can be explained by the fragility of arctic ecosystems (slow growth, low fecundity and low species richness of plants) together with a disproportional temperature rise (Callaghan and Jonasson 1995a; Chapin and Körner, 1995; Maxwell, 1992). A number of writers have also stressed that high mountains will be strongly affected by climate change and provide good opportunities to monitor it (e.g. Becker and Bugman, 2001; Callaghan and Jonasson, 1995b; Grabherr et al., 2004). Hence, it seems highly desirable to investigate mountain systems in the Arctic, as the combined effects of high latitude and altitude should provide a sensitive indication system for climate change. In the Arctic the shortage of meteorological stations with standardized, long-term data does not allow a good spatial resolution of climate change monitoring. However, the responses of plants to long-term climate in their habitat mean that they can be used as bioclimatic indicators and thus fill these data gaps (Elvebakk, 1999). In northeast Greenland such a monitoring site has 7 Altitudinal Zonation of Vegetation in Continental West Greenland: A Basis for Monitoring Climate Change
Characterization and Optimal Designs for Discrete Choice Experiments

In discrete choice experiments, a choice design involves n attributes (factors) with i-th attribute at li levels, and there are N choice sets each of size m. Demirkale, Donovan and Street (2013) considered the setup of symmetric factorials (li = l) and obtainedD-optimal choice designs under main effects model in the absence of two or higher order interaction effects. They provide some sufficient conditions for a design to be D-optimal. In this paper, we first derive a modified Information matrix of a choice design for estimating the factorial effects of a l1 × l2 × · · · × ln choice experiment. For a 2 choice experiment, following Singh, Chai and Das (2015), under the broader main effects model (both in the presence and in the absence of two-factor interactions) we give a simple necessary and sufficient condition for the Information matrix to be diagonal. Furthermore, we characterize the structure of the choice sets which gives maximum trace of the Information matrix. Our characterization of such an Information matrix facilitates construction of universally optimal choice designs for estimating main effects, both in the presence and in the absence of two-factor interactions but, in the absence of three or higher order interaction effects.
30TH INTERNATIONAL COSMIC RAY CONFERENCE Pion production in proton- and pion-carbon collisions at 12 GeV/c measured with HARP

Abstract: Motivated by the importance of the measurement of proton and pion interactions with light nuclei for tuning hadronic interaction models used in neutr ino flux and extensive air shower simulations, we analyze pion production in p-C and pi-C reactions at 12GeV /c measured in the fixed target experiment HARP at CERN-PS. We present momentum spectra of positive and negative pions and compare them with predictions of frequently used hadronic interaction m odels.
Exploring CNN and DNN Bottleneck Features for Emotional Speech Recognition

Emotion influences the speech and degrades. Therefore emotional speech degrades ASR quality due to the mismatch between input speech and the acoustic model. In this study, we focus on feature transformation methods to solve this mismatch. We propose a tandem approach using DNN bottleneck features and CNN bottleneck features for emotional speech recognition. The bottleneck features are made by a deep neural network hidden layer that has a smaller number of nodes than other layers. We hypothesize that bottleneck sturucture can extract features and bottleneck features represent essential features of phonemes. By using bottleneck features for emotional speech recognition, we confirm that results improve results compared with other feature transformation methods. In addition, we combine the proposed methods and other feature transformation methods to improve emotional speech recognition.
BCES Conference Book

When we speak about the academic achievement of the students and their personality, the internal state of a student is in connection with his personal experience and individual differences and talents, dispositions, motives, his “I” and a whole range of cognitive processes. Modern psychological theories of personality believe that the learning and the achieved academic success represent the overall activity of the individual. It is very important to understand and determine the factors that affect the learning process in order to get a full picture of the personality of the students regarding their achieved academic success. If we analyze the personality of the student in depth, we will understand that the academic success, besides the influence of the curriculum external factors, is significantly influenced by the dominant traits of his personality. The personal characteristics are presented as a set of internal components that determine the success and the quality of action of the students. The relationship between the dimensions of personality and the academic success are the subject of research of many authors. One group of authors puts emphasis on intelligence as a factor for success in the learning process, while another group believes that success depends on the personal characteristics that are dominant in the individual. The purpose of this paper is to ascertain the role of the personal characteristics of the students regarding their academic success, and to understand which personality traits are dominant among respondents of male and female gender. For this purpose, in the research we applied the big-five model of personality by which we obtained data on the five dimensions of personality: neuroticism (N), agreeableness (A), openness to new experiences (O), extraversion (E) and consciousness (C). The research is conducted on a sample of 74 students aged 20 to 22 years, whereas the success is a representation of the average score they achieved during their studies. Based on the results of the survey it can be inferred that in the female students there is a positive correlation between openness (O) and extraversion (E) and success at school, and in the male students there is a statistical significance between agreeableness (A) and neuroticism (N) and success in learning. Based on the conducted research we can conclude that the success depends on the personal characteristics of the person.
Chemical composition of appletree ( Malus domestica Borkh . ) leaf essential oils

State Research Institute, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10222 Vilnius, Lithuania Despite that essential oils play very important and multifunctional roles (mainly protection function against pests) for apple-tree, the number of studies of the fruiter leaf oils is still very limited. This research represents the chemical composition of apple-tree (Malus domestica Borkh.) leaf essential oils. Plant material was collected from fruit trees growing in different parts of Lithuania. The oils, prepared by simultaneous hydro-distillation and extraction with organic solvents in a Clevenger-type apparatus, were analysed using GC(FID) and GC/MS methods. The compositions varied both by individual principal constituents and by an amount of fractions. The sesquiterpenoid fraction (26.9–45.7%) was the biggest one in all investigated oils, which contained sesquiterpenenes from 13.7 to 36.0%, and oxygenated sesquiterpenes from 9.7 until 25.0%. The percentage of monoterpenoids varied from 5.3 to 10.1, the amount of diterpenes differed from 3.6 to 27.3%, and the quantity of aliphatic hydrocarbons was 5.2–24.4%. The first three major compounds were found to be (iso)phytol (≤27.3%), (E, E)-α-farnesene (≤22.0%), n-hexyl benzoate (≤13.5%), tridecane (11.0%), and α-cadinol (10.5%) in all the investigated apple-tree leaf oils. One oil under study could be attributed to the (iso)phytol and another one to the (E, E)-α-farnesene chemotype, while other oils were of mixed types.
Effect of Shaktipat Meditation on Anxiety in Relation to the Emotional Intelligence and

Anxiety is a psychological and physiological state characterized by cognitive, somatic, emotional, and behavioral components (Seligman et al. 2001). In psychiatry it is a relatively permanent state of worry and nervousness occurring in a variety of mental disorders, usually accompanied by compulsive. Anxiety energies the person to move, but if the anxiety is not at its proper level it leads the person to emotional disturbance. In such persons it becomes so unmanageable that it may lead to disintegrative adjustment like crime, alcoholism, drug addictions, sex perversion or sometimes suicide. Such unmanageable level of anxiety affects the conscious as well as unconscious mind of person. Few studies supported that Anxiety is related with EI as Brackett et al. (2003) found that lower emotional intelligence related to negative outcomes, including stress, illegal drugs, alcohol use, deviant behaviour and poor relations with friends. Santesso et al. (2006) found that low emotional intelligence was associated with significantly more externalizing behaviours (i.e. aggression and delinquency), replicating previous work. Gill (2004) stated that the emotional maturity of an individual i.e. self-control, patience, perseverance-sensitivity, interpersonal effectiveness etc. would determine to a great extent an individuals ability to cope with stress.
Presentations of (immersed) surface-knots by marked graph diagrams

An immersed surface-link is a generically immersed closed oriented surface in the 4-space R4. When the surface has only one component, it is also called an immersed surface-knot. When the surface consists of 2-spheres, it is also called an immersed sphere-link or simply an immersed 2-link. When the immersion is an embedding, it is also called a surface-link. Two (immersed) surface-links L and L′ are equivalent if there is an orientation-preserving auto-homeomorphism h of R4 sending L to L′ orientation-preservingly. An immersed 2-link is studied in [11] in relation to a cross-sectional link. A normal form of an immersed surface-link introduced by S. Kamada and K. Kawamura in [5] is used to define a marked graph diagram of an immersed surface-link. In [6], we extend the method of presenting surface-links by marked graph diagrams to presenting immersed surface-links. We also give some local moves on marked graph diagrams that preserve the ambient isotopy classes of their presenting immersed surface-links, which are extension of moves given by Yoshikawa [19] for presentation of embedded surface-links. In [13], with an example described by a marked graph diagram of an immersed 2-knot, it is shown as the main theorem (Theorem 3.6) that for any positive integer n, there are infinitely many immersed 2-knots with only n essential double point singularities, that is, infinitely many immersed 2-knots with n double point singularities which are not equivalent to the connected sum of any immersed 2-knot and any unknotted immersed sphere.
Distribution and Roles of Lutein and Zeaxanthin in The Eye Distribution

Current evidence suggests lutein and its isomers play important roles in ocular development in utero and throughout the life span, in vision performance in young and later adulthood, and in lowering risk for the development of common age-related eye diseases in older age. These xanthophyll (oxygen-containing) carotenoids are found in a wide variety of vegetables and fruits, and they are present in especially high concentrations in leafy green vegetables. Additionally, egg yolks and human milk appear to be bioavailable sources. The prevalence of lutein, zeaxanthin, and meso-zeaxanthin in supplements is increasing. Setting optimal and safe ranges of intake requires additional research, particularly in pregnant and lactating women. Accumulating evidence about variable interindividual response to dietary intake of these carotenoids, based on genetic or metabolic influences, suggests that there may be subgroups that benefit from higher levels of intake and/or alternate strategies to improve lutein and zeaxanthin status.
SWELLING STUDIES OF COMPOSITE HYDROGELS BASED ON BACTERIAL CELLULOSE AND GELATIN

This paper describes the swelling study in various pH media of a monolayer and multilayer composite hydrogels based on bacterial cellulose and gelatin (BC-G). Some considerations on the swelling mechanisms were given. Obtained results indicate that the swelling of BC-G hydrogels was influenced by the concentration of gelatin, pH, and by the existence of a coating layer. Swelling mechanism for all samples follow a pseudo-Fickian diffusion.
Method of Reducing the Noise Influence on Phase-Shift Keying Signals

In this paper the method of improvement noise immunity of signals with quadrature phase shift keying is given. In particular, offset quadrature phase-shift keying (OQPSK) signals are considered. The method lies in modification of existing demodulators with application of additional specific narrowband filters in signal phase detector. The simulation model of modified phase detector was realized and the results of its research are given. The results of simulation show that application of modified detector significantly improves noise immunity of OQPSK signals revealing new opportunities of modernization of existing cellular networks.
Identification and prevention of microbial contaminants of potato culture in temporary immersion bioreactor (TIB) system

Aims: Temporary Immersion Bioreactor (TIB) system is an advanced technology for commercial mass production of potato microtubers. Despite of several advantages, this system possess a great risk of culture loss at any stage of micropropagation due to microbial contamination. The aims of this study were to identify microbial contaminants isolated during potato shoot growth in the TIB system, evaluate the efficacy of antimicrobial agents to prevent them, to investigate the effect of those agents in vitro on growth and morphology of potato plantlets. Methodology and results: Six bacteria namely Pseudomonas, Staphylococcus, Klebsiella, Corynebacterium, Proteus, Bacillus and five fungi Aspergillus, Penicillium, Mucor, Fusarium and Rhizopus were isolated from the TIB system. We examined the effect of three antibacterial (Gentamycin, Vancomycin and Tetracycline) and four antifungal agents (Mencozeb, Propiconazole, Bavistin and Copper oxychloride) on the contaminants and on potato shoot growth. Results show that Gentamycin (50 mg/L) and Propiconazole (0.15%) were most effective against the isolated bacteria (35 mm inhibition zone) and fungi (100%) respectively, whereas Gentamycin in combination with Bavistin showed better performance on potato shoot and root development. Conclusion, significance and impact of study: Present study will provide useful guidelines to reduce or eliminate the risk of contamination during micropropagation.
Modal Analysis as a High Sensitive NDT Method of Compressor Blades

The article shows the methodology of reliable health diagnostic of compress or blades made of steel and titanium alloys. The methods and diagnostics symptoms for identification of blade cracks have been described. Widely described are theoretical foundations of: blade modal analysis; operational blade load; influence of material crack and fatigue on blade modal characteristics; influence of modal characteristics dispersion on fatigue and service condition s. The topic has been illustrated by practice taken during operation of the SO-3 an d TW3-117 engines . The laser vibration measuring method which is now used at WZL1 (Military Aviation Works no. 1) has also been described. New experimental possibilities, like early identification of material fatigue and blade crack initiation symptoms have been depicted. These issues has been illustrated by many examples of damaged and proper blades' modal properties measurement (according to LCF and HCF pr ofiles). It has been proven that the shape of the resonance (the level of non-linearity) rather than the n a ural frequency of the mode better described fatigue or blade crack. The new diagnostic symptoms are resistant (inse nsitive) to the effect of tuning blades under repair or in operation. The described symptoms are the basis for non-contact measurement of r otating blades and reliable prognosis of their health. They are also used in algorithms for active control of engin e components fatigue.
Social Integration and Social Support : Conceptual and Measurement Issues

The chapter deals with social factors and how they might exert an influence on health and longevity. First, a distinction is made between the concepts of social integration and social support. Following this, a more fine-grained differentiation of various social support phenomena is offered, and different approaches to their measurement are described. Moreover, individual differences in support provision and receipt are addressed. In a second section, the importance of social network characteristics along with their possible influence on longevity is discussed. Studies are described that provide evidence for the association of social factors with life expectancy, severe medical conditions, and bereavement. A third section examines the role of social factors in the onset and course of severe health conditions, such as myocardial infarction and cancer. Additionally, evidence is reviewed concerning support mobilization as a form of coping with taxing life events and circumstances.
BASED LEARNING TO EFL STUDENTS

Abstrak IBT techniques is series of activities that involved maximally throughout the student's ability to search and investigate in a systematic, critical, logical, analytical, so that they can formulate their own discoveries with confidence the search of knowledge and understanding to satisfy curiosity. IBT technique is also supposed to the teachers be creative to set situations. This method used was quasi experimental design. The purposive sampling technique was used on this study. The data were collected by reading test. The collected data was analyzed by using paired sample t-test and independent sample ttest. The results showed that the students’ reading ability was improved and there was a significant difference between the students who were taught by using IBT and those who were not. With IBT technique encouraged students to take the initiative to have question the phenomenon, to conduct field observations, to analyze the data, and to draw conclusions. Thus, it is to integrate students and synergize various skills of language and different methods.
Clinical study of the improvement of butylphthalide combined with edaravone therapy on neural functional recovery in acute cerebral infarction after interventional therapy

Clinical study of the improvement of butylphthalide combined with edaravone therapy on neural functional recovery in acute cerebral infarction after interventional therapy Juan-Li Jiang, Jian Zhang Neurology Department, the First Affiliated Hospital of Chengdu Medical College, Chengdu City, Sichuan Province, 610500 General Internal Medicine Department, Health Center of Mimu Town Qingbaijiang District Chengdu City, Chengdu City, Sichuan Province, 610300 Journal of Hainan Medical University