Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of CellDesigner to the Selection of Anticancer Drug Targets: Test Case using P53

Cancer is a disease involving many genes, consequently it has been difficult to design anticancer drugs that are efficacious over a broad range of cancers. The robustness of cellular responses to gene knockout and the need to reduce undesirable side effects also contribute to the problem of effective anti-cancer drug design. To promote the successful selection of drug targets, each potential target should be subjected to a systems biology scrutiny to locate effective and specific targets while minimizing undesirable side effects. The gene p53 is considered a good candidate for such a target because it has been implicated in 50% of all cancers and is considered to encode a hub protein that is highly connected to other proteins. Using P53 as a test case, this paper explores the capacity of the systems biology tool, CellDesigner, to aid in the selection of anticancer drug targets and to serve as a teaching resource for human resource development.
Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions

The topic of dynamic pricing and learning has received a considerable amount of attention in recent years, from different scientific communities. We survey these literature streams: we provide a brief introduction to the historical origins of quantitative research on pricing and demand estimation, point to different subfields in the area of dynamic pricing, and provide an in-depth overview of the available literature on dynamic pricing and learning. Our focus is on the operations research and management science literature, but we also discuss relevant contributions from marketing, economics, econometrics, and computer science. We discuss relations with methodologically related research areas, and identify directions for future research.
Epileptic and nonepileptic features in patients with early onset epileptic encephalopathy and STXBP1 mutations

Purpose: STXBP1 (MUNC18‐1) mutations have been associated with various types of epilepsies, mostly beginning early in life. To refine the phenotype associated with STXBP1 aberrations in early onset epileptic syndromes, we studied this gene in a cohort of patients with early onset epileptic encephalopathy.
A Prehistory of Violence? Revolution and Martyrs in the Making of a Political Tradition in Kerala

ABSTRACT The Communist Party of India (CPI) adopted a revolutionary line in 1948, but agrarian insurrection was efficiently suppressed by the newly independent Indian state. The CPI moved towards an engagement with parliamentary communism, and in 1957, Kerala became the first state in the world to elect a communist government to power. However, the idea of transformative, revolutionary violence stayed alive and became the premise for brutal internecine warfare between the Left and its opponents in the northern part of Kerala. This paper argues, pace Benjamin, that this violence must be seen as instituting another law than that of the state, positing the ideal of justice over the mere rhythms of parliamentary representation.
Understanding Aroma Release from Model Cheeses by a Statistical Multiblock Approach on Oral Processing

For human beings, the mouth is the first organ to perceive food and the different signalling events associated to food breakdown. These events are very complex and as such, their description necessitates combining different data sets. This study proposed an integrated approach to understand the relative contribution of main food oral processing events involved in aroma release during cheese consumption. In vivo aroma release was monitored on forty eight subjects who were asked to eat four different model cheeses varying in fat content and firmness and flavoured with ethyl propanoate and nonan-2-one. A multiblock partial least square regression was performed to explain aroma release from the different physiological data sets (masticatory behaviour, bolus rheology, saliva composition and flux, mouth coating and bolus moistening). This statistical approach was relevant to point out that aroma release was mostly explained by masticatory behaviour whatever the cheese and the aroma, with a specific influence of mean amplitude on aroma release after swallowing. Aroma release from the firmer cheeses was explained mainly by bolus rheology. The persistence of hydrophobic compounds in the breath was mainly explained by bolus spreadability, in close relation with bolus moistening. Resting saliva poorly contributed to the analysis whereas the composition of stimulated saliva was negatively correlated with aroma release and mostly for soft cheeses, when significant.
Drivers and Outcomes of Work Alienation

This article sheds new light on an understudied construct in mainstream management theory, namely, work alienation. This is an important area of study because previous research indicates that work alienation is associated with important individual and organizational outcomes. We tested four antecedents of work alienation: decision-making autonomy, task variety, task identity, and social support. Moreover, we examined two outcomes of alienation: deviance and performance, the former measured 1 year after the independent variables were measured, and the latter as rated by supervisors. We present evidence from a sample of 283 employees employed at a construction and consultancy organization in the United Kingdom. The results supported the majority of our hypotheses, indicating that alienation is a worthy concept of exploration in the management sciences.
Historical, technological and medial a priori: on the belatedness of media

ABSTRACT This essay addresses German-language media theory through the lens of its central concept, the technological a priori. The technological a priori is a concept developed most prominently in the work of Friedrich Kittler out of the historical a priori of Michel Foucault’s discourse analysis. The focus of the technological a priori is historically significant materialities, that is, media technologies. This essay argues that the technological a priori precisely cannot be reduced to analysing specific materialities, such as individual media technologies, the computer, gramophone, telephone, etc. in terms of their fundamental significance for sense-making and history. The technological a priori entails not only a concept of materiality but also a concept of time. The media studies to come should expand the technological a priori towards a more general media a priori by incorporating more complex theories of time such as those offered by various approaches to belatedness. This task would prove especially compelling for the history of media and the disciplinary history of media studies.
Providing Lifetime Service-Level-Agreements for Cloud Spot Instances

Spot instances are commonly offered by IaaS cloud providers to opportunistically utilize spare capacity and meet temporary user demand for additional resources. Although the availability of service SLAs is a core paradigm of cloud computing, spot instances in practice still come without any service quality guarantees. We aim to extend the spot instance service to provide a probabilistic SLA for eviction probability, based on the user estimate of the maximum expected instance lifetime. This probabilistic foundation simplifies reasoning about the spot instance service and enables providers to construct higher-level SLAs from them. For this to be possible, however, the statistical guarantees must be adhered to strictly, for a wide range of real-world workloads, at cloud scale. We propose a new approach to providing SLAs on the time-until-eviction for spot instances by employing Monte-Carlo simulation to compute the distribution of future spot instance lifetimes at current cloud utilization levels. We then show that an IaaS cloud scheduler can use the quantiles of such conditioned distributions to safely provision spot instance requests and maintain an SLA with a specific target eviction rate.
Identification of new microRNA-regulated genes by conserved targeting in plant species

MicroRNAs (miRNAs) are major regulators of gene expression in multicellular organisms. They recognize their targets by sequence complementarity and guide them to cleavage or translational arrest. It is generally accepted that plant miRNAs have extensive complementarity to their targets and their prediction usually relies on the use of empirical parameters deduced from known miRNA–target interactions. Here, we developed a strategy to identify miRNA targets which is mainly based on the conservation of the potential regulation in different species. We applied the approach to expressed sequence tags datasets from angiosperms. Using this strategy, we predicted many new interactions and experimentally validated previously unknown miRNA targets in Arabidopsis thaliana. Newly identified targets that are broadly conserved include auxin regulators, transcription factors and transporters. Some of them might participate in the same pathways as the targets known before, suggesting that some miRNAs might control different aspects of a biological process. Furthermore, this approach can be used to identify targets present in a specific group of species, and, as a proof of principle, we analyzed Solanaceae-specific targets. The presented strategy can be used alone or in combination with other approaches to find miRNA targets in plants.
Clearing up implicit knowledge: Implications for Knowledge Management, information science, psychology, and social epistemology

“Implicit knowledge” and “tacit knowledge” in Knowledge Management (KM) are important, often synonymous, terms. In KM they often refer to private or personal knowledge that needs to be made public. The original reference of “tacit knowledge” is to the work of the late scientist and philosopher, Michael Polanyi (Polanyi, 1969), but there is substantial evidence that the KM discourse has poorly understood Polanyi's term. Two theoretical problems in Knowledge Management's notion of “implicit knowledge,” which undermine empirical work in this area, are examined. The first problem involves understanding the term “knowledge” according to a folk-psychology of mental representation to model expression. The second is epistemological and social: understanding Polanyi's term, tacit knowing as a psychological concept instead of as an epistemological problem, in general, and one of social epistemology and of the epistemology of the sciences, in particular. Further, exploring Polanyi's notion of tacit knowing in more detail yields important insights into the role of knowledge in science, including empirical work in information science. This article has two parts: first, there is a discussion of the folk-psychology model of representation and the need to replace this with a more expressionist model. In the second part, Polanyi's concept of tacit knowledge in relation to the role of analogical thought in expertise is examined. The works of philosophers, particularly Harre and Wittgenstein, are brought to bear on these problems. Conceptual methods play several roles in information science that cannot satisfactorily be performed empirically at all or alone. Among these roles, such methods may examine historical issues, they may critically engage foundational assumptions, and they may deploy new concepts. In this article the last two roles are examined.
Comparison of Bluetooth Interconnection Methods using BlueProbe

Many Bluetooth researches are targeted to form efficient scatternets. However, scatternets do not have much popularity in general because many Bluetooth devices do not support scatternet capabilities and high mobility makes it difficult to keep the connectivity. Instead we choose temporary interconnection of piconets to reduce scatternet formation overhead. To compare several interconnection methods, we propose BlueProbe. BlueProbe finds out the allocated time slots size, which makes it apt for Bluetooth style TDMA capacity measurement. BlueProbe is applicable to both piconet and scatternet whether a cross traffic exists or not. Results based on our real testbed measurements show that the interconnection method is more important than the hop length and the number of simultaneous flows, whereas previous researches based on simulations concentrate on these two factors. Based on these results, we show efficient interconnection methods among Bluetooth Piconets.
Paper on Organizational Culture and Organizational Performance

This review paper focuses on the definition and measurement of organizational culture and sheds the light on the important studies on the topic. It also sheds the light on the culture-performance literature. This review paper also sheds the light on the definition, conceptualization, and measurement of organizational performance. This review paper has also showed a number of studies that linked the relationship between organizational culture and the organizational performance.
A comparative analysis of image transformations for handwritten Odia numeral recognition

The work proposed in this paper is an attempt to develop two recognizers for Odia handwriting based on basic transformation schemes and compares their pros and cons. Both the recognizers put emphasis on exploiting the inherent characteristics of the Odia numeral images. The proposed method analyzes the use of Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) for this purpose. Recognition by classification is achieved by feeding these vectors as input to a Back Propagation Neural Network (BPNN). Recognition results are obtained and compared by experimentally varying the classifier parameters. Our experimental results come out to be promising. Thus, finally, we come of with a robust recognizer for handwritten Odia numerals.
Application of Neural Networks in Image Definition Recognition

To simulate the auto-focus mechanism of human's eyes by using artificial neural networks is a reasonable and available way to improve the auto-focus effect of digital cameras. The evaluation of image definition plays a key role in the auto-focus of digital cameras, so constructing the image definition evaluation is an important step of designing auto-focus systems. In this paper, we use the pattern recognition method of the RBF neural networks to recognize the image definition. The designed neural networks are trained by the training set that is composed of 75 pictures. Then, the testing set that is composed of 102 pictures is verified experimentally. The experiment results indicate that this method is quite effective. The method gives full play to self-adapting ability of neural networks and gets a higher recognition rate.
Integration of active and passive compliance control for safe human-robot coexistence

In this paper we discuss the integration of active and passive approaches to robotic safety in an overall scheme for real-time manipulator control. The active control approach is based on the use of a supervisory visual system, which detects the presence and position of humans in the vicinity of the robot arm, and generates motion references. The passive control approach uses variable joint impedance which combines with velocity control to guarantee safety in worst-case conditions, i.e. unforeseen impacts. The implementation of these techniques in a 3-dof, variable impedance arm is described, and the effectiveness of their functional integration is demonstrated through experiments.
Developing an Ontology for the Meteorological Forecasting Process

Decision support systems for weather forecasting have yet to tackle the key issues in formulating forecast policy, focussing instead on data presentation. Here we describe a method for eliciting forecasting information and outline a forecast ontology for codifying that information as a data management tool. The completed ontology will provide key ingredients for designing future decision support systems for actually negotiating, building and presenting forecast policies.
Geometric Relations between Rigid Bodies : Semantics for Standardization

Rigid bodies are essential primitives in the modelling of robotic devices, tasks and perception, starting with the basic geometric relations such as relative position, orientation, pose, linear velocity, angular velocity, and twist. This paper explicitly states the semantics of all coordinate-invariant properties and operations, and, more importantly, all the choices that are made in coordinate representations of these geometric relations. This results in a set of concrete suggestions for standardizing terminology and notation, allowing programmers to write fully unambiguous software interfaces, including automatic checks for semantic correctness of all geometric operations on rigid-body coordinate representations. A concrete proposal for community-driven standardization via the Robot Engineering Task Force [4] is under preparation.
Counting Instances of Software Components

This improved version was submitted to Special Issue of the Journal of Logic and Computation Semantics Corner. --- --- This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Logic and Computation Semantics following peer review. The definitive publisher-authenticated version will be available online at: xxxxxxx.
Bag-of-visual-ngrams for histopathology image classification

This paper describes an extension of the Bag-of-Visual-Words (BoVW) representation for image categorization (IC) of histophatology images. This representation is one of the most used approaches in several high-level computer vision tasks. However, the BoVW representation has an important limitation: the disregarding of spatial information among visual words. This information may be useful to capture discriminative visual-patterns in specific computer vision tasks. In order to overcome this problem we propose the use of visual n-grams. N-grams based-representations are very popular in the field of natural language processing (NLP), in particular within text mining and information retrieval. We propose building a codebook of n-grams and then representing images by histograms of visual n-grams. We evaluate our proposal in the challenging task of classifying histopathology images. The novelty of our proposal lies in the fact that we use n-grams as attributes for a classification model (together with visual-words, i.e., 1-grams). This is common practice within NLP, although, to the best of our knowledge, this idea has not been explored yet within computer vision. We report experimental results in a database of histopathology images where our proposed method outperforms the traditional BoVWs formulation.
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Thematic analysis is important for a lot of applications dealing with texts, such as text summarisation or information extraction. But it can be done with a great precision only if it relies on structured knowledge, which is difficult to produce. In this paper, we propose using bootstrapping in order to solve this problem: a first thematic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and a more reliable thematic analysis.
Synaptic Basis for Whisker Deprivation-Induced Synaptic Depression in Rat Somatosensory Cortex

Whisker deprivation weakens excitatory layer 4 (L4) inputs to L2/3 pyramidal cells in rat primary somatosensory (S1) cortex, which is likely to contribute to whisker map plasticity. This weakening has been proposed to represent long-term depression (LTD) induced by sensory deprivation in vivo. Here, we studied the synaptic expression mechanisms for deprivation-induced weakening of L4-L2/3 inputs and assessed its similarity to LTD, which is known to be expressed presynaptically at L4-L2/3 synapses. Whisker deprivation increased the paired pulse ratio at L4-L2/3 synapses and slowed the use-dependent block of NMDA receptor currents by MK-801 [(5S,10R)-(+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine maleate], indicating that deprivation reduced transmitter release probability at these synapses. In contrast, deprivation did not alter either miniature EPSC amplitude in L2/3 neurons or the amplitude of quantal L4-L2/3 synaptic responses measured in strontium, indicating that postsynaptic responsiveness was unchanged. In young postnatal day 12 (P12) rats, at least 4 d of deprivation were required to significantly weaken L4-L2/3 synapses. Similar weakening occurred when deprivation began at older ages (P20), when synapses are mostly mature, indicating that weakening is unlikely to represent a failure of synaptic maturation but instead represents a reduction in the strength of existing synapses. Thus, whisker deprivation weakens L4-L2/3 synapses by decreasing presynaptic function, similar to known LTD mechanisms at this synapse.
Health Impact Assessment of increased cycling to place of work or education in Copenhagen

Objective To quantify the effects of increased cycling on both mortality and morbidity. Design Health Impact Assessment. Setting Cycling to place of work or education in Copenhagen, Denmark. Population Effects were calculated based on the working-age population of Copenhagen. Main outcome measures The primary outcome measure was change in burden of disease (measured as disability-adjusted life years (DALY)) due to changed exposure to the health determinants physical inactivity, air pollution (particulate matter <2.5 μm) and traffic accidents. Results Obtainment of the proposed increase in cycling could reduce the burden of disease in the study population by 19.5 DALY annually. This overall effect comprised a reduction in the burden of disease from health outcomes associated with physical inactivity (76.0 DALY) and an increase in the burden of disease from outcomes associated with air pollution and traffic accidents (5.4 and 51.2 DALY, respectively). Conclusion This study illustrates how quantitative Health Impact Assessment can help clarify potential effects of policies: increased cycling involves opposing effects from different outcomes but with the overall health effect being positive. This result illustrates the importance of designing policies that promote the health benefits and minimise the health risks related to cycling.
Engineering Design of Fluid-Filled Soft Covers for Robotic Contact Interfaces: Guidelines, Nonlinear Modeling, and Experimental Validation

Viscoelastic contact interfaces can be found in various robotic components that are covered with a compliant surface (pad) such as anthropomorphic hands, biomimetic haptic/tactile sensors, prostheses, and orthoses. In all these cases, it is desirable to obtain thin and resistant pads with predetermined compliance and damping properties (e.g., mimicking the human skin and pulpy tissues). In order to overcome the limits of homogeneous layers of a soft viscoelastic material, which is commonly used in the aforementioned devices, this paper suggests the adoption of soft pads that are composed of a continuous external layer (skin) coupled with an internal layer having fluid-filled voids. The process to design the pad starts with the selection of a hyperelastic medium with proper tribological features, whose constitutive parameters are determined by numerically fitting nonlinear stress-strain curves under pure homogenous deformations. The optimization of the internal layer morphology is then achieved through nonlinear finite element analysis (FEA) that provides an estimate of hardness and friction influence on the pad static compliance. Finally, the pad is filled with a viscous fluid that is chosen to modify time-dependent phenomena and to increase damping effects. The effectiveness of the procedure is proven by designing and modeling better-behaved artificial pads that mimic human-finger dynamic properties.