Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of flow microfluorometry in detailed analysis of effects of chemical agents on cell cycle progression.

A technique has been developed for determining effects of chemotherapeutic agents on cell cycle progression in synchronized line CHO Chinese hamster cells grown in vitro . The proctocol combines autoradiographic and cell-enumeration techniques with analysis of DNA distribution patterns by means of the Los Alamos flow microfluorometer. CHO cells were accumulated in a state of G1 arrest by growth in isoleucine-deficient medium; then the cells were resuspended in fresh, complete medium containing isoleucine plus a test agent to reinitiate cycle traverse in the presence of the drug. Ten hr later, flow microfluorometric analysis of the population distribution of DNA contents for the cultures yielded the fractions of cells in G1, S, and G2 or M. For agents with reversible effects, confirmatory cell cycle data were obtained after resuspension of the cells in fresh, drug-free medium containing thymidine-3H; and aliquots were removed at intervals for determination of traverse capacity, even in slowly or nonprogressing populations. Four agents with differing effects on cell cycle progression were examined, namely, hydroxyurea, cytosine arabinoside, bleomycin, and camptothecin. Both hydroxyurea (10-3 m) and cytosine arabinoside (5 µg/ml) grossly decreased the rate of progression of cells into S phase, resulting in an accumulation of cells at the G1-S boundary. Neither agent completely prevented cells from initiating DNA synthesis. Bleomycin (100 µg/ml) allowed initiation and completion of genome replication to occur at a nearly normal rate, but cells accumulated in G2 and most cells lost the capacity to enter mitosis. Camptothecin (1 µg/ml) reduced the overall rate of cycle progression and allowed a few cells to replicate a complete complement of DNA. The relationship of these in vitro findings to the chemotherapy regimen design is discussed.
A dissimilarity matrix between protein atom classes based on Gaussian mixtures

MOTIVATION Previously, Rantanen et al. (2001; J. Mol. Biol., 313, 197-214) constructed a protein atom-ligand fragment interaction library embodying experimentally solved, high-resolution three-dimensional (3D) structural data from the Protein Data Bank (PDB). The spatial locations of protein atoms that surround ligand fragments were modeled with Gaussian mixture models, the parameters of which were estimated with the expectation-maximization (EM) algorithm. In the validation analysis of this library, there was strong indication that the protein atom classification, 24 classes, was too large and that a reduction in the classes would lead to improved predictions. RESULTS Here, a dissimilarity (distance) matrix that is suitable for comparison and fusion of 24 pre-defined protein atom classes has been derived. Jeffreys' distances between Gaussian mixture models are used as a basis to estimate dissimilarities between protein atom classes. The dissimilarity data are analyzed both with a hierarchical clustering method and independently by using multidimensional scaling analysis. The results provide additional insight into the relationships between different protein atom classes, giving us guidance on, for example, how to readjust protein atom classification and, thus, they will help us to improve protein--ligand interaction predictions. CONTACT vira@utu.fi
Distributed Real-Time Protocols for Industrial Control Systems: Framework and Examples

The automation of today's large-scale industrial systems relies on the operation of distributed controller devices that perform local computations and exchange information via communication networks. The subject of this paper is the development of a family of shared-medium industrial communication protocols that support the transmission of real-time (RT) and nonreal-time (nRT) data among distributed controller devices. Different from existing protocols, we suggest to incorporate information that is available from the control application in the protocol definition. As a result, our protocols dynamically change the bandwidth allocation on the shared medium according to the instantaneous communication requirements while ensuring hard RT guarantees. Following the recent developments in industrial automation, our protocols can be realized as software layers on top of low-cost conventional Ethernet.
The spatial frequency tuning of optic-flow-dependent behaviors in the bumblebee Bombus impatiens

SUMMARY Insects use visual estimates of flight speed for a variety of behaviors, including visual navigation, odometry, grazing landings and flight speed control, but the neuronal mechanisms underlying speed detection remain unknown. Although many models and theories have been proposed for how the brain extracts the angular speed of the retinal image, termed optic flow, we lack the detailed electrophysiological and behavioral data necessary to conclusively support any one model. One key property by which different models of motion detection can be differentiated is their spatiotemporal frequency tuning. Numerous studies have suggested that optic-flow-dependent behaviors are largely insensitive to the spatial frequency of a visual stimulus, but they have sampled only a narrow range of spatial frequencies, have not always used narrowband stimuli, and have yielded slightly different results between studies based on the behaviors being investigated. In this study, we present a detailed analysis of the spatial frequency dependence of the centering response in the bumblebee Bombus impatiens using sinusoidal and square wave patterns.
Brazilian Multinational Companies’ Subsidiaries’ Initiative: a typology proposal

The aim of this study was to investigate whether culture, knowledge transfer and initiative allow for the configuration of homogeneous groups of Brazilian multinational companies’ subsidiaries – and, as a result, to propose a typology. Thus, based on a previously adapted Birkinshaw model (1999) of subsidiary initiatives tested by structural equation modeling in an earlier phase of research, it was possible to use transfer of knowledge, culture and initiative constructs scores from each sample unit to apply the clusters technique. As a result, three clusters were found – which, based on the Birkinshaw typology (1995) for classifying subsidiaries according to initiative, were defined as: (1) Reconfiguration initiative and (3) Local market initiative. Since the second group of subsidiaries could not be classified by Birkinshaw’s typology, it was called (2) Incipient initiative. Subsidiaries of the Reconfiguration initiative cluster present mainly internal initiatives, although they do identify local opportunities for applying and expanding their resources; whilst subsidiaries of Local market initiative reveal that both knowledge transfer in both directions (headquarters versus units) and culture are relevant to their initiatives, mainly external ones. Finally, subsidiaries from the Incipient Initiative cluster are units that tend to be similar in culture to Brazil, but knowledge transfer is low, indicating that international units do not know enough about the company’s business to be able to propose initiatives.
Incorrect systems: It's not the problem, It's the solution

We present an overview of state-of-the-art work in the engineering of digital systems (hardware and software) where traditional correctness requirements are relaxed, usually for higher performance and lower resource consumption but possibly also for other non-functional properties such as more robustness and less cost. The work presented here is categorized into work that involves just hardware, hardware and software, and just software. In particular, we discuss work on probabilistic and approximate design of processors, unreliable cores in asymmetric multi-core architectures, best-effort computing, stochastic processors, accuracy-aware program transformations, and relaxed concurrent data structures. As common theme we identify, at least intuitively, “metrics of correctness” in each piece of work which appear to be important for understanding the effects of relaxed correctness requirements and their relationship to performance improvements and resource consumption.
TRADING BEHAVIOR AND ASSET PRICING UNDER HETEROGENEOUS EXPECTATIONS

This research models trading behavior and examines the impact of heterogeneous expectations on asset prices. We extend Kyle’s (1985) one-period model to two-period model. The model shows that the informed trader takes into account not only the private information but also the pricing function. The price is an increasing function of the volatility of the asset value and decreasing in the volatility of uninformed traders’ demand. The costly information acquisition has an impact on the optimum demand but it has no direct impact on the price. We find the market depth is a linear function of the volatility of the uninformed traders and a weighted average of the total error variance of information. The depth is also decreasing in the volatility of the cash flow innovations. This argument is in line with the second finding, when the volatility of cash flow innovations increases, the value of risky asset becomes more volatile, and as a result the bigger are the advantages of having private information. Our research raises some questions for further investigation. We indirectly assume that the informed traders make a profit at the expense on the uninformed traders. The question is why the uninformed traders willing to face losses? What happen if there are n informed traders who have diverse information?
The role of human resource management in moderating the relationship between organisational culture and TQM adoption

Culture has been considered as one of the factors that influences the TQM adoption process of organisations. Based on Hofstede’s cultural dimensions, we suggest that individualist organisations would find difficulties in adopting TQM, which tends to reflect a more collectivist than individualist culture. We, however, believe that individualist organisations can overcome this problem by establishing collectivist HRM policies by creating collectivistic TQM environment. This paper thus fills the gap between literature on culture, HRM and TQM. Notably, based upon the examination of the impact individualist versus collectivist culture have on HRM policies and TQM adoption, this paper proposes collectivist HRM policies as the significant moderating variable on the relationship between the culturally diverse members and the TQM adoption within the organisational context. Based upon the theoretical framework developed in this paper, implications for future research are outlined.
Harvesting Energy from Rain Drop through Application of PZT Material: A Review

In recent years there has been an increased interest in scavenging energy using alternative sources. Renewable energy such as solar, wind, biomass, hydro and tidal wave are studied and implemented all around the globe. One of the potential sources of energy is rain. The common way to generate energy from this source is by utilizing dam system. Although it is very effective and the electrical energy generated by it is promising but it is not applicable or worth to be implemented everywhere especially in remote areas. studies have shown that the vibration produced by raindrops at the moment of impact is quite promising. This vibration can be harvested and one of the methods introduced in this paper is PEH (piezoelectric energy harvesting) technique, which can be used to capture vibration, motion or acoustic noise, to be converted in to electrical output. This review paper aims to provide a fundamental study on the behavior of raindrop, the potential energy it carries, the meteorological data and the types of impact. This investigation leads to a better understanding of these natural phenomena that helps the researchers to design a better configuration of PEH system and consequently obtaining greater output energy has been addressed.
Menu Detection Based on DOM ?

One of the key elements of a website are Web menus, which provide fundamental information about the topology of the own website. Menu detection is useful for humans, but also for crawlers and indexers because the menu provides essential information about the structure and contents of a website. For humans, identifying the main menu of a website is a relatively easy task. However, for computer tools identifying the menu is not trivial at all and, in fact, it is still a challenging unsolved problem. In this work, we propose a novel method for automatic Web menu detection that works at the level of DOM.
Ripple-spreading model and Genetic Algorithm for random complex networks: Preliminary study

Recently complex network theory has been broadly applied in various domains. How to effectively and efficiently optimize the topology of complex networks remains largely an unsolved fundamental question. When applied to the network topology optimization, Genetic Algorithms (GAs) are often confronted with permutation representation, memory-inefficiency and stochastic modeling problems, as well as difficulties in the design of problem-specific evolutionary operators. This paper, inspired by the natural ripple spreading phenomenon, reports a deterministic model of random complex networks. Unlike existing stochastic models, the topology of a random network can be thoroughly determined by some ripple-spreading related parameters in the new model. Therefore, the network topology can be improved by optimize these ripple-spreading related parameters. As a result, no purpose-designed GA is required, but a very basic binary GA, compatible to all classic evolutionary operators, can be applied in a straightforward way. Preliminary simulation results demonstrate the potential of the proposed ripple-spreading model and GA for the topology optimization of random complex networks.
Effect of Nifedipine on Dichlorvos-Induced Seizure in Mice

Problem statement: Dichlorvos a synthetic organophosphate poisons is the property of insecticide. These toxins as insecticides in agriculture and medicine for animals and the destruction of ectoparasites can be used. Studies have shown that Dichlorvos creation seizure effects in different animals. Nifedipine, dihydropyridine calcium channel blockers, widely used for treatment of cardiovascular diseases. Studies have shown that the calcium channel blockers are anticonvulsant effects in different animal models. The aim of this study was to determine the effect of nifedipine on Dichlorvosinduced seizures in mice. Approach: In this experiment, the animals were received different doses of nifedipine (2.5, 5, 10, 20 and 40 mg kg-1) intraperitoneally 30 min before intraperitoneal injection of Dichlorvos (50 mg kg-1). After Dichlorvos injection, clonic and tonic seizures and death was investigated. Results: Results showed that nifedipine dose dependently reduced the severity of Dichlorvos-induced seizures, so that nifedipine dose 10 and 40 mg kg-1, respectively, the lowest (p<0.05) and highest (p<0.001) had anticonvulsant effects. Conclusion: The anticonvulsant activity of nifedipine suggests that possibly due to antagonistic effect on voltage-dependent calcium channel.
Verifying the compliance of personalized curricula to curricula models in the semantic web

In this work we propose the introduction of a decoupling between personalized curricula and curricula models. A curricula model is formalized as a set of time constraints, while personalized curricula are formalized by means of an action theory. Given this framework, it is possible to make various interesting verification tasks automatic. In particular, we will discuss the possibility of verifying the compliance of personalized curricula to models, by using temporal reasoning. Compliance verification allows to check the soundness of a curriculum customized w.r. t. available resources and user goals against a model that expresses temporal learning dependencies at the knowledge level.
Drug-Induced Sleep Endoscopy vs Awake Müller’s Maneuver in the Diagnosis of Severe Upper Airway Obstruction

Objective To compare fiber-optic nasal endoscopy with Müller’s maneuver (FNMM) against drug-induced sleep endoscopy (DISE) in diagnosing the presence of severe level-specific upper airway collapse in patients with obstructive sleep apnea/hypopnea syndrome (OSAHS). Study Design Case series with chart review. Setting Tertiary care academic center. Subjects and Methods Medical records of all adult patients undergoing diagnostic DISE as part of their surgical evaluation were reviewed. Patients were included if they had undergone FNMM and had documented Friedman tongue position and tonsillar grade prior to DISE. Airway obstruction on both endoscopic procedures was described according to airway level and severity. Severe airway obstruction was defined as >75% collapse on endoscopy. Results Fifty-three patients were included in this study. Fiber-optic nasal endoscopy with Müller’s maneuver and DISE did not differ significantly regarding the presence of severe retropalatal airway collapse. There was a statistically significant difference in the incidence of severe retrolingual collapse identified via DISE (84.9% [45/53]) compared with FNMM (35.8% [19/53]; P < .0001). This discrepancy between FNMM and DISE findings was statistically significant in individuals with Friedman I and II tongue positions (FNMM = 16.7%, DISE = 88.9%, P < .0001) and individuals with Friedman III tongue position (FNMM = 31.8%, DISE = 81.8%, P = .002). Patients with Friedman IV showed no significant difference (P = .65) between FNMM (69.2%) and DISE (84.6%). Conclusion This study shows a significant difference between FNMM and DISE in the identification of severe retrolingual collapse. Since the effectiveness of surgical interventions depends largely on the accurate preoperative identification of the site of obstruction, further scrutiny of each diagnostic endoscopic technique is warranted.
Scannerless laser range camera

The requirement to quickly obtain 3D measurements is common to a variety of tasks in different fields of applications, i.e. robotics, space craft rendezvous and docking scenarios and industrial assemblies. In this paper, a novel type of non‐scanning optical 3D laser camera is presented. This is useful for both space and industrial applications. Avoiding any moving mechanical parts, the new sensor is able to exceed the frame rate and lateral resolution limits of common scanning devices, while providing both a grey‐scale image and a dense range image of the scene at the same time.
Acoustic Features Extraction for Emotion Recognition

In the last decade, the efforts of spoken language processing have achieved significant advances, however, the work with emotional recognition has not progressed so far, and can only achieve 50% to 60% in accuracy. This is because a majority of researchers in this field have focused on the synthesis of emotional speech rather than focusing on automating human emotion recognition. Many research groups have focused on how to improve the performance of the classifier they used for emotion recognition, and few work has been done on data pre-processing, such as the extraction and selection of a set of specifying acoustic features instead of using all the possible ones they had in hand. To work with well-selected acoustic features does not mean to delay the whole job, but this will save much time and resources by removing the irrelative information and reducing the high-dimension data calculation. In this paper, we developed an automatic feature selector based on a RF2TREE algorithm and the traditional C4.5 algorithm. RF2TREE applied here helped us to solve the problems that did not have enough data examples. The ensemble learning technique was applied to enlarge the original data set by building a bagged random forest to generate many virtual examples, and then the new data set was used to train a single decision tree, which selects the most efficient features to represent the speech signals for the emotion recognition. Finally, the output of the selector was a set of specifying acoustic features, produced by RF2TREE and a single decision tree.
Updates in the systemic treatment of hepatocellular carcinoma

Support: No funding was received for the publication of this article. Liver cancer has contributed to an annual 30,200 deaths in the US so far in 2018. An overwhelming majority is due to hepatocellular carcinoma (HCC) in the setting of advanced liver disease. While chronic hepatitis C and alcoholic liver disease traditionally have been the most common etiologies of cirrhosis in the US, the prevalence of non-alcoholic fatty liver disease is on the rise. Chronic hepatitis B is also important among patients who have emigrated from high-risk areas, such as east and southeast Asia, Africa, and South America.
Redox Modulation of FAK Controls Melanoma Survival - Role of NOX4

Studies have demonstrated that reactive oxygen species (ROS) generated by NADPH oxidase are essential for melanoma proliferation and survival. However, the mechanisms by which NADPH oxidase regulates these effects are still unclear. In this work, we investigate the role of NADPH oxidase-derived ROS in the signaling events that coordinate melanoma cell survival. Using the highly metastatic human melanoma cell line MV3, we observed that pharmacological NADPH oxidase inhibition reduced melanoma viability and induced dramatic cellular shape changes. These effects were accompanied by actin cytoskeleton rearrangement, diminished FAKY397 phosphorylation, and decrease of FAK-actin and FAK-cSrc association, indicating disassembly of focal adhesion processes, a phenomenon that often results in anoikis. Accordingly, NADPH oxidase inhibition also enhanced hypodiploid DNA content, and caspase-3 activation, suggesting activation of the apoptotic machinery. NOX4 is likely to be involved in these effects, since silencing of NOX4 significantly inhibited basal ROS production, reduced FAKY397 phosphorylation and decreased tumor cell viability. Altogether, the results suggest that intracellular ROS generated by the NADPH oxidase, most likely NOX4, transmits cell survival signals on melanoma cells through the FAK pathway, maintaining adhesion contacts and cell viability.
Mutagenic Tests Confirm That New Acetylacetonate Pt(II) Complexes Induce Apoptosis in Cancer Cells Interacting with Nongenomic Biological Targets

New platinum(II) complexes [PtCl(O,O′-acac)(L)] (1) and [Pt(O,O′-acac)(γ-acac)(L)] (2) (L = DMSO, a; DMS, b) containing a single chelated (O,O′-acac) (1), or one chelated and one σ-bonded (γ-acac) acetylacetonate (2) have been synthesized. The new Pt(II) complexes exhibited high in vitro cytotoxicity on cisplatin sensitive and resistant cell lines and showed negligible reactivity with nucleobases (Guo and 5′-GMP) but selective substitution of DMSO/DMS with soft biological nucleophiles, such as L-methionine. In order to assess the ability of the new complexes with respect to cisplatin to induce apoptosis by interaction with nongenomic targets, the Ames' test, a standard reverse mutation assay, was carried out on two Salmonella typhimurium strains (TA98 and TA100). Interestingly, the new complexes did not show the well-known mutagenic activity exhibited by cisplatin and are, therefore, able to activate apoptotic pathways without interacting with DNA.
A Neural Network Approach to Morphological Disambiguation Based on the LSTM Architecture in the National Corpus of the Tatar Language

This paper presents the results of experiments on morphological disambiguation in the National corpus of the Tatar language “Tugan tel”. The experiments were conducted using the LSTM based neural network model. The tagged socio-political sub-corpus of the National corpus of the Tatar language “Tugan tel” with a volume of 2,4 million words was used as training data. Experiments have shown that LSTM models are language-independent and can be applied to the Tatar language too. The results for Tatar are on a comparable level with those for other agglutinative languages, such as Hungarian and Turkish.