Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Predictions of Movie Success: The Who, What, and When of Profitability

Abstract We focus on predicting the profitability of a movie to support movie-investment decisions at early stages of film production. By leveraging data from various sources, and using social network analysis and text mining techniques, the proposed system extracts several types of features, including “who” is in the cast, “what” a movie is about, “when” a movie will be released, as well as “hybrid” features. Experiment results showed that the system outperforms benchmark methods by a large margin. Novel features we proposed made weighty contributions to the prediction. In addition to designing a decision support system with practical utility, we also analyzed key factors of movie profitability. Furthermore, we demonstrated the prescriptive value of our system by illustrating how it can be used to recommend a set of profit-maximizing cast members. This research highlights the power of predictive and prescriptive data analytics in information systems to aid business decisions.
Cavity Quantum Electrodynamics with Anderson-Localized Modes

Scattered and Coupled Cavity electrodynamics explores the coupling of light with matter—ideally, that of a single photon with a single atom. Typically, this requires that the photon and the atom be confined to increase the likelihood of interaction, but scattering of light is an unavoidable product of an engineered device and is usually considered to be detrimental because it leads to loss of the photons from the cavity. Sapienza et al. (p. 1352; see the Perspective by Wiersma) saw extreme light scattering as an opportunity for the spontaneous generation of localized modes of light that can be exploited to induce light-matter coupling. Thus, working with a process where scattering is considered a resource rather than a nuisance, as in this case, may prove useful for realizing robust quantum information devices. Optical scattering is used to induce quantum coupling between light and an artificial atom. A major challenge in quantum optics and quantum information technology is to enhance the interaction between single photons and single quantum emitters. This requires highly engineered optical cavities that are inherently sensitive to fabrication imperfections. We have demonstrated a fundamentally different approach in which disorder is used as a resource rather than a nuisance. We generated strongly confined Anderson-localized cavity modes by deliberately adding disorder to photonic crystal waveguides. The emission rate of a semiconductor quantum dot embedded in the waveguide was enhanced by a factor of 15 on resonance with the Anderson-localized mode, and 94% of the emitted single photons coupled to the mode. Disordered photonic media thus provide an efficient platform for quantum electrodynamics, offering an approach to inherently disorder-robust quantum information devices.
The effect of predictive history on the learning of sub-sequence contingencies

Two experiments demonstrated that the prior predictive history of a cue governs the extent to which that cue engages in sequence learning. Using a serial reaction time task, we manipulated the predictiveness of the stimulus locations (cues) with respect to the location of the stimulus on the next trial (outcome), such that half of the cues were good predictors of their outcomes, whilst the other half were poorer predictors. Following this, all cues were then paired with novel outcomes. Learning about those cues that were previously established as good predictors proceeded more rapidly than learning for those cues previously established as poor predictors. When the simple recurrent network is modified to include a variable associability parameter, the effects are easily modelled.
Summarizing Threads in Blogs Using Opinion Polarity

The huge amount of data available on the Web needs to be organized in order to be accessible to users in real time. This paper presents a method for summarizing subjective texts based on the strength of the opinion expressed in them. We used a corpus of blog posts and their corresponding comments (blog threads) in English, structured around five topics and we divided them according to their polarity and subsequently summarized. Despite the difficulties of real Web data, the results obtained are encouraging; an average of 79% of the summaries is considered to be comprehensible. Our work allows the user to obtain a summary of the most relevant opinions contained in the blog. This allows them to save time and be able to look for information easily, allowing more effective searches on the Web.
Trigeminal Autonomic Cephalalgias

Purpose of Review:This article reviews the clinical features of and treatment options for the trigeminal autonomic cephalalgias (TACs). Recent Findings:The TACs are a group of primary headache disorders characterized by short-lasting episodes of severe unilateral headaches that are associated with ipsilateral cranial autonomic symptoms. The best known and most commonly seen TAC in clinical practice is cluster headache. The other syndromes within this group include paroxysmal hemicrania, hemicrania continua, and short-lasting unilateral neuralgiform headache attacks. Although these disorders share a similar phenotype, they are distinguished by differences in attack frequency and duration. Recognition of these clinical differences is paramount because treatment options vary; paroxysmal hemicrania and hemicrania continua demonstrate an absolute response to treatment with indomethacin, while the other syndromes respond to other agents. Summary:Although much less common than other headache disorders seen in clinical practice, recognition of the TACs is especially important as they are among the most severe and disabling syndromes in headache medicine.
EVIDENCE FOR AN ESSENTIALLY CONSTANT DURATION OF DNA SYNTHESIS IN RENEWING EPITHELIA OF THE ADULT MOUSE

Tritiated thymidine autoradiography has been applied to several renewing epithelial tissues of the adult mouse in order to determine (a) the average time required for DNA synthesis; and (b) the temporal relationship of the synthesis period to the progenitor cycles of these populations. The average duration of DNA synthesis has been computed from curves describing the rates of appearance and disappearance of labeled metaphase figures in epithelia of colon, ileum, duodenum, esophagus, and oral cavity, in both normal and colchicine-treated animals. In general, application of colchicine does not significantly influence the derived values for DNA synthesis duration. The DNA synthetic time is remarkably similar in the tissues examined, despite wide differences in the times required for completion of the progenitor cycle (and for tissue renewal). Synthesis of DNA in these epithelial cells of the mouse requires approximately 7 hours. Agreement between this value and those derived by other investigators for mammalian cells in vivo and in vitro indicates that DNA synthetic time may be a temporal constant, of considerable potential utility to studies of cell proliferation. The advantages and shortcomings of this experimental approach to problems of cell population kinetics in vivo are discussed.
Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns

One of the most desired information types when planning a trip to some place is the knowledge of transport, roads and geographical connectedness of prominent sites in this place. While some transport companies or repositories make some of this information accessible, it is not easy to find, and the majority of information about uncommon places can only be found in web free text such as blogs and forums. In this paper we present an algorithmic framework which allows an automated acquisition of map-like information from the web, based on surface patterns like "from X to Y". Given a set of locations as initial seeds, we retrieve from the web an extended set of locations and produce a map-like network which connects these locations using transport type edges. We evaluate our framework in several settings, producing meaningful and precise connection sets.
Influence of condition on behavior and survival potential of a newly settled coral reef fish, the bluehead wrasse Thalassoma bifasciatum

For newly settled coral reef fishes, survival advantages may be associated with specific early life history traits or condition levels that lead to differences in behavior. To identify physiologi- cal and behavioral characteristics associated with different condition levels, bluehead wrasse Thalas- soma bifasciatum recruits were collected immediately after settlement from reefs in the upper Florida Keys, USA, and transported to the laboratory for experimental analysis. Quantification of swimming capabilities was coupled with otolith analysis to identify early life history traits associated with swim- ming performance. Fish with the highest critical swimming speeds were those that grew faster as lar- vae, had shorter pelagic larval durations, and were smaller at settlement, although these individuals represented only 10% of the total sample. To further investigate condition-associated behaviors, a feeding treatment established fish of 2 different condition levels for comparison. Recruits fed for 1 wk at higher levels grew faster, had greater standardized weight (Fulton's condition factor), and swam faster than food-deprived recruits. In additional behavioral trials, high condition recruits evaded a simulated predator threat at faster speeds than the low condition recruits. High condition fish also exhibited less risk-taking behavior by sheltering more in the presence of a predator threat and con- suming less food. For both high and low condition recruits, the number that sought shelter increased and food consumption rates decreased in the presence of a predator threat. These results link early life history traits and physiology with associated condition-based differences in behavior, likely underlying the observation that mortality in T. bifasciatum is frequently selective for condition.
An Intelligent Protocol Algorithm to improve the Performance of Enterprise Systems Communications

Enterprise communications rely on the hardware and the network infrastructure through which clients connect to gain access to enterprise server resources and services. The communication protocols used in enterprise networks however, do not always take into account the optimization of data communications between the client and the server, and this may hamper the efficiency of the enterprise systems. The networking infrastructure that connects the clients to the server is a major source of communication inefficiency. This paper aims at proposing an intelligent protocol algorithm which dynamically senses the state of the network and determines the best mode for sending files from the server to the clients. The protocol algorithm uses multiple data compression algorithms to provide for data compression and decompression during communication. It initially learns by considering different communication scenarios whereby the protocol payload is compressed using different compression algorithms. After this learning curve, the protocol algorithm intelligently decides on and uses the best compression algorithm to optimize data transfer on the network, therefore increasing the efficiency of enterprise systems communications. Using TCP as Transport Layer protocol, the protocol algorithm can achieve up to an 80% gain in efficiency.
C-Jun recruits the NSL complex to regulate its target gene expression by modulating H4K16 acetylation and promoting the release of the repressive NuRD complex

The proto-oncogene c-Jun plays essential roles in various cellular processes, including cell proliferation, cell differentiation, and cellular apoptosis. Enormous efforts have been made to understand the mechanisms regulating c-Jun activation. The males absent on the first (MOF)-containing non-specific lethal (NSL) complex has been shown to positively regulate gene expression. However, the biological function of the NSL complex is largely unknown. Here we present evidence showing that c-Jun recruits the NSL complex to c-Jun target genes upon activation. The NSL complex catalyzes H4K16 acetylation at c-Jun target genes, thereby promoting c-Jun target gene transcription. More interestingly, we also found that the NSL complex promotes the release of the repressive NuRD complex from c-Jun target genes, thus activating c-Jun. Our findings not only reveal a new mechanism regulating c-Jun activation, but also identify the NSL complex as a c-Jun co-activator in c-Jun-regulated gene expression, expanding our knowledge of the function of the NSL complex in gene expression regulation.
Changing Resources Available to Game Playing Agents: Another Relevant Design Factor in Agent Experiments

The iterated prisoner's dilemma is a simultaneous two-player game widely used in studies on cooperation and conflict. Recent research has demonstrated that a number of factors change the behavior of evolved agents in a manner not consistent with controlled studies. This study extends a preliminary exploration of the impact of changing the level of computational or informational resources available to game playing agents on their ensemble behavior. Both these categories of information are shown to have an impact on agent behavior. Four representations are studied: lookup tables, Markov chains, finite-state machines, and feed-forward neural nets. An assessment tool called the play profile is used to demonstrate that both the cooperativeness and the change in cooperativeness over evolutionary time are substantially different for different resource levels within a representational type. Lookup tables and neural nets are found to change the least when the resource levels they are presented with are varied, while Markov chains vary the most. Available internal resources are also found to change the competitive ability of agents as well as the rate at which they become cooperative as evolution proceeds.
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics

Biological and technical systems operate in a rich multimodal environment. Due to the diversity of incoming sensory streams a system perceives and the variety of motor capabilities a system exhibits there is no single representation and no singular unambiguous interpretation of such a complex scene. In this work we propose a novel sensory processing architecture, inspired by the distributed macro-architecture of the mammalian cortex. The underlying computation is performed by a network of computational maps, each representing a different sensory quantity. All the different sensory streams enter the system through multiple parallel channels. The system autonomously associates and combines them into a coherent representation, given incoming observations. These processes are adaptive and involve learning. The proposed framework introduces mechanisms for self-creation and learning of the functional relations between the computational maps, encoding sensorimotor streams, directly from the data. Its intrinsic scalability, parallelisation, and automatic adaptation to unforeseen sensory perturbations make our approach a promising candidate for robust multisensory fusion in robotic systems. We demonstrate this by applying our model to a 3D motion estimation on a quadrotor.
The law of the Euler scheme for stochastic differential equations

SummaryWe study the approximation problem ofEf(XT) byEf(XTn), where (Xt) is the solution of a stochastic differential equation, (XTn) is defined by the Euler discretization scheme with stepT/n, andf is a given function. For smoothf's, Talay and Tubaro have shown that the errorEf(XT) −f(XTn) can be expanded in powers of 1/n, which permits to construct Romberg extrapolation precedures to accelerate the convergence rate. Here, we prove that the expansion exists also whenf is only supposed measurable and bounded, under an additional nondegeneracy condition of Hörmander type for the infinitesimal generator of (Xt): to obtain this result, we use the stochastic variations calculus. In the second part of this work, we will consider the density of the law ofXTnand compare it to the density of the law ofXT.
Modeling the climate response to a massive methane release from gas hydrates

[1] The climate response to a massive release of methane from gas hydrates is simulated in two 2500-year-long numerical experiments performed with a three-dimensional, global coupled atmosphere-sea ice-ocean model of intermediate complexity. Two different equilibrium states were used as reference climates; the first state with preindustrial forcing conditions and the second state with a four times higher atmospheric CO2 concentration. These climates were perturbed by prescribing a methane emission scenario equivalent to that computed for the Paleocene/Eocene thermal maximum (PETM; similar to55.5 Ma), involving a sudden release of 1500 Gt of carbon into the atmosphere in 1000 years. In both cases, this produced rapid atmospheric warming (up to 10degreesC at high latitudes) and a reorganization of the global overturning ocean circulation. In the ocean, maximum warming (2-4degreesC) occurred at intermediate depths where methane hydrates are stored in the upper slope sediments, suggesting that further hydrate instability could result from the prescribed scenario.
The ultimate Aberdeen knot.

INTRODUCTION The Aberdeen knot has been shown to be stronger and more secure than a surgeon's knot for ending a suture line. No data exist as to the ideal configuration of the Aberdeen knot. The Royal College of Surgeons of England in their Basic Surgical Skills Course, 2002 recommended six throws. The aim of this experiment is to find the ideal combination of throws and turns. MATERIALS AND METHODS Aberdeen knots of various configurations were tied in 0-PDS suture (Ethicon, Johnson and Johnson). Each configuration was tied 10 times. A materials testing machine was used to test the knots to destruction in a standardised manner. RESULTS The knots were seen to behave in two ways. They either slipped and unravelled, or broke. Knots tied with fewer than three throws were unreliable. Knots tied with three throws and two turns appear to be the strongest configuration. Adding further throws and turns does not increase the strength of an Aberdeen knot. CONCLUSIONS An Aberdeen knot tied with three throws and two turns is the ultimate Aberdeen knot.
Soil water content monitoring using electromagnetic induction

The use of electromagnetic (EM) induction measurements was evaluated to predict water content in the upper 1.50 m of a prototype engineered barrier soil profile designed for waste containment. Water content was monitored with a neutron probe, and bulk soil electrical conductivity was monitored with a Geonics EM38 ground conductivity meter at ten locations at approximately monthly intervals over a three-year period. A simple linear regression model accurately predicted average volumetric water content of the profile at any location at any time (R2=0.80,σ=0.009) and spatially averaged volumetric water content over the entire area at any time (R2=0.99,σ=0.003). Although some temporal drift was present in the model residual values, the impact on predicted water content was negligible. Therefore, once the model is calibrated with the neutron probe over a sufficient range of water contents, further neutron probe measurements may not be necessary. EM induction has several advantages over traditional water conten.
Impact of center volume on outcomes of increased‐risk liver transplants

The use of high‐risk donor livers, which is reflective of the gross national shortage of organs available for transplantation, has gained momentum. Despite the demand, many marginal livers are discarded annually. We evaluated the impact of center volume on survival outcomes associated with liver transplantation using high–donor risk index (DRI) allografts. We queried the Scientific Registry of Transplant Recipients database for deceased donor liver transplants (n = 31,576) performed between 2002 and 2008 for patients who were 18 years old or older, and we excluded partial and multiple liver transplants. A high‐DRI cohort (n = 15,668), which was composed of patients receiving grafts with DRIs > 1.90, was analyzed separately. Transplant centers (n = 102) were categorized into tertiles by their annual procedure volumes: high‐volume centers (HVCs; 78‐215 cases per year), medium‐volume centers (MVCs; 49‐77 cases per year), and low‐volume centers (LVCs; 5‐48 cases per year). The endpoints were allograft survival and recipient survival. In comparison with their lower volume counterparts, HVCs used donors with higher mean DRIs (2.07 for HVCs, 2.01 for MVCs, and 1.91 for LVCs), more donors who were 60 years old or older (18.02% for HVCs, 16.85% for MVCs, and 12.39% for LVCs), more donors who died after a stroke (46.52% for HVCs, 43.71% for MVCs, and 43.36% for LVCs), and more donation after cardiac death organs (5.04% for HVCs, 4.45% for MVCs, and 3.51% for LVCs, all P values < 0.001). Multivariate risk‐adjusted frailty models showed that increased procedure volume at a transplant center led to decreased risks of allograft failure [hazard ratio (HR) = 0.93, 95% confidence interval (CI) = 0.89‐0.98, P = 0.002] and recipient death (HR = 0.90, 95% CI = 0.83‐0.97, P = 0.004) for high‐DRI liver transplants. In conclusion, HVCs more frequently used higher DRI livers and achieved better risk‐adjusted allograft and recipient survival. A greater understanding of the outcomes of transplantation with high‐DRI livers may improve their utilization, the postoperative outcomes, and future allocation practices. Liver Transpl 17:1191–1199, 2011. © 2011 AASLD.
High throughput automated microbial bioreactor system used for clone selection and rapid scale‐down process optimization

High throughput automated fermentation systems have become a useful tool in early bioprocess development. In this study, we investigated a 24 x 15 mL single use microbioreactor system, ambr 15f, designed for microbial culture. We compared the fed‐batch growth and production capabilities of this system for two Escherichia coli strains, BL21 (DE3) and MC4100, and two industrially relevant molecules, hGH and scFv. In addition, different carbon sources were tested using bolus, linear or exponential feeding strategies, showing the capacity of the ambr 15f system to handle automated feeding. We used power per unit volume (P/V) as a scale criterion to compare the ambr 15f with 1 L stirred bioreactors which were previously scaled‐up to 20 L with a different biological system, thus showing a potential 1,300 fold scale comparability in terms of both growth and product yield. By exposing the cells grown in the ambr 15f system to a level of shear expected in an industrial centrifuge, we determined that the cells are as robust as those from a bench scale bioreactor. These results provide evidence that the ambr 15f system is an efficient high throughput microbial system that can be used for strain and molecule selection as well as rapid scale‐up. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog. , 34:58–68, 2018