Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of ReGEN as a Graph-Rewriting System for Quest Generation

Using procedural narrative generation in video games provides a flexible way to extend game play and provide more depth to the game world at low cost to the developers. Current examples of narrative generation in commercial games, however, tend to be simplistic, resulting in repetitive and uninteresting stories. In this paper, we develop a system for narrative generation using a context-aware graph-rewriting framework. We use a graph representation of the game world to create narratives which reflect and modify the current world state. Using a novel set of metrics to evaluate narrative quality, we validate our approach by comparing our generated narratives to other procedurally generated stories, as well as to authored narratives from commercially successful and critically praised games. The results show that our narratives compare favorably to the authored narratives. Our metrics provide a new approach to narrative analysis, and our system provides a unique and practical approach to story generation.
A Detailed Analysis of Alcohol Pharmacokinetics in Healthy Korean Men

Alcohol (ethanol) has been reported to be the most harmful legal substance to individuals and societies [1], and one of the frequently abused agents worldwide [2]. Furthermore, alcohol drinking is frequently associated with many violations and crimes, such as drunken driving, violent fighting, sexual assaults, arson, and suicides or homicides [3]. Therefore, physiological research on alcohol metabolism in the body becomes important in the fields of forensic science and legal medicine. The measurement of alcohol in biological materials is the most commonly performed analysis in a forensic toxico-
Toward targeting B cell cancers with CD4+ CTLs: identification of a CD19-encoded minor histocompatibility antigen using a novel genome-wide analysis

Some minor histocompatibility antigens (mHags) are expressed exclusively on patient hematopoietic and malignant cells, and this unique set of antigens enables specific targeting of hematological malignancies after human histocompatability leucocyte antigen (HLA)–matched allogeneic stem cell transplantation (allo-SCT). We report the first hematopoietic mHag presented by HLA class II (HLA-DQA1*05/B1*02) molecules to CD4+ T cells. This antigen is encoded by a single-nucleotide polymorphism (SNP) in the B cell lineage-specific CD19 gene, which is an important target antigen for immunotherapy of most B cell malignancies. The CD19L-encoded antigen was identified using a novel and powerful genetic strategy in which zygosity-genotype correlation scanning was used as the key step for fine mapping the genetic locus defined by pairwise linkage analysis. This strategy was also applicable for genome-wide identification of a wide range of mHags. CD19L-specific CD4+ T cells provided antigen-specific help for maturation of dendritic cells and for expansion of CD8+ mHag-specific T cells. They also lysed CD19L-positive malignant cells, illustrating the potential therapeutic advantages of targeting this novel CD19L-derived HLA class II–restricted mHag. The currently available immunotherapy strategies enable the exploitation of these therapeutic effects within and beyond allo-SCT settings.
Development of A Real-Time in Vivo Transcription Assay : Application Reveals Pregnane X Receptor-Mediated Induction of CYP 3 A 4 by Cancer Chemotherapeutic Agents

We report the development of a rapid real-time assay that measures the transcription of luciferase reporter genes in transduced mouse hepatic cells in vivo. Luciferase activity is noninvasively measured by whole-body optical imaging within hours of the hydrodynamic injection of as little as 1 g of naked DNA. Transcription of genes introduced as linearized DNA can be serially assayed for weeks in each animal. Transcription was quantified by extracorporal monitoring of bioluminescence as well as or better than by traditional in vitro bioluminescence assay. Our assay allows the measurement of transcription as it occurs, under the most informative biological conditions (i.e., in a living, intact organ). Furthermore, it substantially reduces the cost, time, and number of animals required for analysis of gene expression. The utility of the method is demonstrated in the discovery that topotecan and etoposide are ligands of pregnane X receptor that induce CYP3A4 transcription. An in vivo gene transcription assay would have broad application in studies of hepatic gene expression and provide a unique complementary tool for the toxicologic testing of drugs under development. Most current studies of mammalian gene transcription are conducted in vitro, in replicating cells transfected with plasmids that contain DNA-regulatory sequences upstream of reporter genes. However, liver-specific gene expression is extinguished in replicating hepatocyte cultures as they lose crucial transcription factors. Moreover, cell cultures cannot recapitulate the full spectrum of hepatic responses to xenobiotic agents (e.g., inflammatory response). Although transgenic mice have been useful in the investigation of gene regulation in vivo, they require considerable time and money and the breeding of large numbers of animals over several generations. Furthermore, gene expression can be affected by random integration of the transgene, and several animals must be sacrificed each time expression
A Comparison of Surgeon's Assessment to Patient's Self Analysis (Short Form 36) After Far Lateral Lumbar Disc Surgery: An Outcome Study

Study Design. Between 1984 and 1994, 170 patients had surgery for far lateral discs. Patients were assessed by the surgeon as having poor (no improvement, increased deficit), fair (mild improvement, moderate residual deficit), good (moderate improvement, mild residual deficit) or excellent (marked improvement, no deficit) physical outcomes. The Medical Outcome Trust's SF‐36 survey was completed by 76 (45%) patients, using one interviewer. Objectives. Patient‐based outcome studies are becoming increasingly important. A surgeon's assessment of outcome was compared with the patients' self assessment (Short Form 36) after far lateral lumbar disc surgery. Summary of Background Data. The SF‐36 survey provides measures on eight dimensions: physical function, role physical, bodily pain, general health, vitality, social function, role‐emotional, and mental health. Methods. Patients averaged 60.1 years of age, and included 43 men and 33 women. Patients were last examined an average of 9.1 months after their surgery, and were interviewed by telephone an average of 2.8 years later. Results. Patients completing the survey were evaluated on their last visit to the surgeon as having excellent (32 patients), good (24), fair (12), and poor (8) outcomes. Overall correlations between the surgeon's assessment and all 76 patients' SF‐36 scores were modest. However, for those patients examined within 4.5 years of the surgeon's assessment (n = 56), correlations were statistically significant for 6 of the SF‐36 measures. Only general health and social function showed correlations less than 0.25. Conclusions. The surgeon's assessment was a particularly good predictor of SF‐36 measures if the surgeon assessed the patient within the past 4.5 years. The SF‐36 should be useful for large‐scale outcome studies.
Empirical lower bounds on translation unit error rate for the full class of inversion transduction grammars

Empirical lower bounds studies in which the frequency of alignment configurations that cannot be induced by a particular formalism is estimated, have been important for the development of syntax-based machine translation formalisms. The formalism that has received most attention has been inversion transduction grammars (ITGs) (Wu, 1997). All previous work on the coverage of ITGs, however, concerns parse failure rates (PFRs) or sentence level coverage, which is not directly related to any of the evaluation measures used in machine translation. Sogaard and Kuhn (2009) induce lower bounds on translation unit error rates (TUERs) for a number of formalisms, incl. normal form ITGs, but not for the full class of ITGs. Many of the alignment configurations that cannot be induced by normal form ITGs can be induced by unrestricted ITGs, however. This paper estimates the difference and shows that the average reduction in lower bounds on TUER is 2.48 in absolute difference (16.01 in average parse failure rate).
A distributed file system over unreliable network storages

Nowadays, an individual uses multiple ICT devices such as PCs, laptops, smart phones and others. And the content files are not dedicated to a specific device, but shared by the devices. One of the sharing services is the personal cloud computing. Users can backup, synchronize, share and manage their files with it. But most cloud systems have their own dedicated interfaces and it is not easy to use files in various applications. We propose a distributed file system which works with the legacy internet protocols. Applications on devices can share files with the general file i/o interface, and our system enhanced reliability of file storages in both aspects of failures of servers and security risks.
Effects of a 6-month exercise program on patients with multiple sclerosis

Objective: To improve walking and other aspects of physical function with a progressive 6-month exercise program in patients with multiple sclerosis (MS). Methods: MS patients with mild to moderate disability (Expanded Disability Status Scale scores 1.0 to 5.5) were randomly assigned to an exercise or control group. The intervention consisted of strength and aerobic training initiated during 3-week inpatient rehabilitation and continued for 23 weeks at home. The groups were evaluated at baseline and at 6 months. The primary outcome was walking speed, measured by 7.62 m and 500 m walk tests. Secondary outcomes included lower extremity strength, upper extremity endurance and dexterity, peak oxygen uptake, and static balance. An intention-to-treat analysis was used. Results: Ninety-one (96%) of the 95 patients entering the study completed it. Change between groups was significant in the 7.62 m (p = 0.04) and 500 m walk tests (p = 0.01). In the 7.62 m walk test, 22% of the exercising patients showed clinically meaningful improvements. The exercise group also showed increased upper extremity endurance as compared to controls. No other noteworthy exercise-induced changes were observed. Exercise adherence varied considerably among the exercisers. Conclusions: Walking speed improved in this randomized study. The results confirm that exercise is safe for multiple sclerosis patients and should be recommended for those with mild to moderate disability.
3410 - STM/SEM METHOD FOR TESTING BENDING STRENGTH OF MEMS BEAMS

The observed fracture strength of materials when used at NEMS and MEMS scales are generally higher than the bulk properties, particularly as the size decreases to nanometers. Such high strength offers the possibility of designing devices that sustain very high stresses, for example tensioned oscillators, or energy storage components. To study the fracture of micron scale cantilevers, we propose a new test method that makes use of an ultra high vacuum STM/SEM combination and digital image processing. The experiment consists of using a slightly blunted STM tip to load a cantilever beam. While deflecting the cantilever, a sequence of digital images of the deformed beam is acquired with the SEM, from the first load up to the point of fracture. The elastic modulus of the beam is determined before the fracture test in a separate experiment by use of resonant frequency measurement. The sequence of SEM images is processed to determine the fracture strength by first creating a (mathematical) model cantilever of the same size and cross section as the tested cantilever. Using large deflection beam theory, the deflected shapes of this imaginary cantilever are obtained for increasing loads. Synthetic images of the deformed model cantilever are formed by mapping onto the computer screen using projection angles and magnifications determined from a separate calibration test. The final step is to compare the synthetic images to the digital ones captured by the SEM. The applied load on the model beams is iterated to obtain the best fit with the processed SEM images. Once the load that causes the beam to fracture is known, the fracture strength can be easily determined. To demonstrate the procedures we present initial results for untreated silicon cantilevers as well as for samples heat treated in vacuum by applying resistance heating prior to testing.
Medical secretaries' care of records: the cooperative work of a non-clinical group

We describe the cooperative work of medical secretaries at two hospital departments, during the implementation of an electronic health record system. Medical secretaries' core task is to take care of patient records by ensuring that information is complete, up to date, and correctly coded. Medical secretaries also do information gatekeeping and articulation work. The EHR implementation stressed their importance to the departments' work arrangements, coupled their work more tightly to that of other staff, and led to task drift among professions. While medical secretaries have been relatively invisible to health informatics and CSCW, this case study identifies their importance, and suggests that they and other non-clinical groups should be considered, when developing health care IT. We propose the term 'boundary-object trimming', to conceptualize their contributions to hospitals' cooperative work arrangements.
Control of hysteresis and kinematic error nonlinearities in harmonic drives for high speed precision control applications

Important nonlinear transmission attributes exhibiting coupled dynamics and deteriorating performance of harmonic drive systems include hysteresis and kinematic error. This work presents control algorithms developed to compensate for hysteresis in the presence of kinematic error (KE) for precision position tracking applications with known smooth load on the output side. A model of hysteresis with a linear flexibility part and nonlinear dissipative part represented by a differential equation is used. The model is integrated with kinematic error model to obtain a set of equations governing system dynamics. First, a singularly perturbed model of the drive is derived from this set of equations. The proposed algorithm is then developed using integral manifold control approach involving slow and fast control terms. A recent result by authors on compensation of kinematic error alone is employed for the same. Simulation results with the proposed algorithms establish its effectiveness.
Liquid modified photonic crystal fiber for simultaneous temperature and strain measurement

A liquid modified photonic crystal fiber (PCF) integrated with an embedded directional coupler and multi-mode interferometer is fabricated by infiltrating three adjacent air holes of the innermost layer with standard 1.48 refractive index liquids. The refractive index of the filled liquid is higher than that of background silica, which can not only support the transmitting rod modes but also the “liquid modified core” modes propagating between the PCF core and the liquid rods. Hence, the light propagating in the liquid modified core can be efficiently coupled into the satellite waveguides under the phase-matching conditions, resulting in a dramatic decrease of the resonant wavelength intensity. Furthermore, there is a multi-mode interference produced by modified core modes and rod modes. Such a compact (∼0.91 cm) device integrated with an embedded coupler and interferometer is demonstrated for high-sensitivity simultaneous temperature (∼14.72 nm/°C) and strain (∼13.01 pm/μϵ) measurement.
Information Centric Networking in IoT scenarios: The case of a smart home

The Information-Centric Networking (ICN) paradigm for the future Internet is fundamentally different from the classic host-centric Internet Protocol (IP). By leveraging unique, persistent and location-independent content names, ICN provides native multicast support, content-based security, in-network caching, and easy data access, which can be especially useful in the Internet of Things (IoT). In this paper, the attention is on the design of an ICN framework tailored to the smart home domain, considered as a major representative of IoT scenarios. The proposed solution encompasses the definition of a flexible and expressive naming scheme that supports data/command exchanges and configuration/ management operations, and also fits the common service models in the smart home domain (i.e., push, pull, multi-party). Use cases are provided to shed light on the system behaviour and preliminarily assess its potential and performance.
CubeCam: a screen-space camera manipulation tool

We present CubeCam, an image-space camera manipulation widget that uses a projected cube to both visualize the relationship of the camera to the scene and as an interaction tool to change that camera. The cube geometry reflects the use of perspective lines by artists in order to establish the scene projection. We allow the user to interactively change the camera by changing the cube's projection in the image plane. We incorporate pie menus, ghosting, and a crossing-style interface to reduce mouse movement and make it simpler for novice users to learn and experiment with the interface. Finally, we provide a novel method for visualizing camera bookmarks.
Biological and Physical-Chemical Characterization of Phase Pure HA and SI-Substituted Hydroxyapatite by Different Microscopy Techniques

Two different microscopy techniques were used to investigate the re sponse of human osteoblasts to hydroxyapatite (HA) and silicon substituted hydroxyapati te (Si-HA), namely, fluorescence and confocal microscopy The changes in the surface of HA and Si-HA, after incubation for different periods of time in simulated body fluid, were a ssed using atomic force microscopy and environmental electron scanning microscopy. Cell prolifer ation was higher on SiHA compared to HA. In addition more focal points of adhesion were seen i n Si-HA than on HA. Using atomic force microscopy and environmental scanning electron mic roscopy it was possible to observe changes in the surface of both materials, namely dissolution f eatures and the formation of an apatite layer. These findings support the results of a previous st udy, which showed that Si-HA had a higher dissolution with the preferential release of silicon i nto the medium and this fact may account for the changes observed in the cell behaviour.
Group movement decisions in capuchin monkeys: The utility of an experimental study and a mathematical model to explore the relationship between individual and collective behaviours

In primate groups, collective movements are typically described as processes dependent on leadership mechanisms. However, in some species, decision-making includes negotiations and distributed leadership. These facts suggest that simple underlying processes may explain certain decision mechanisms during collective movements. To study such processes, we have designed experiments on white-faced capuchin monkeys (Cebus capucinus) during which we provoked collective movements involving a binary choice. These experiments enabled us to analyse the spatial decisions of individuals in the group. We found that the underlying process includes anonymous mimetism, which means that each individual may influence all members of the group. To support this result, we created a mathematical model issued from our experimental data. A totally anonymous model does not fit perfectly with our experimental distribution. A more individualised model, which takes into account the specific behaviour of social peripheral individuals, revealed the validity of the mimetism hypothesis. Even though white-faced capuchins have complex cognitive abilities, a coexistence of anonymous and social mechanisms appears to influence their choice of direction during collective movements. The present approach may offer vital insights into the relationships between individual behaviours and their emergent collective acts.
Plant-Bacteria Association and Symbiosis: Are There Common Genomic Traits in Alphaproteobacteria?

Alphaproteobacteria show a great versatility in adapting to a broad range of environments and lifestyles, with the association between bacteria and plants as one of the most intriguing, spanning from relatively unspecific nonsymbiotic association (as rhizospheric or endophytic strains) to the highly species-specific interaction of rhizobia. To shed some light on possible common genetic features in such a heterogeneous set of plant associations, the genomes of 92 Alphaproteobacteria strains were analyzed with a fuzzy orthologs-species detection approach. This showed that the different habitats and lifestyles of plant-associated bacteria (soil, plant colonizers, symbiont) are partially reflected by the trend to have larger genomes with respect to nonplant-associated species. A relatively large set of genes specific to symbiotic bacteria (73 orthologous groups) was found, with a remarkable presence of regulators, sugar transporters, metabolic enzymes, nodulation genes and several genes with unknown function that could be good candidates for further characterization. Interestingly, 15 orthologous groupspresent in all plant-associated bacteria (symbiotic and nonsymbiotic), but absent in nonplant-associated bacteria, were also found, whose functions were mainly related to regulation of gene expression and electron transport. Two of these orthologous groups were also detected in fully sequenced plant-associated Betaproteobacteria and Gammaproteobacteria. Overall these results lead us to hypothesize that plant-bacteria associations, though quite variable, are partially supported by a conserved set of unsuspected gene functions.
Performance Analysis of Algorithms for Protein Structure Classification

In this paper, we examine the problem of classifying protein fold structure without sequence similarity, by using classification techniques. The representation of the problem in an attribute-based manner allows the application of many well established machine learning algorithms. We study the performance of several algorithms such as decision trees, Naive Bayes, instance-based, and generalized exemplar methods on 27 class problems and on 4 class reduced problems of protein fold classification.
Tire Transient Analysis with an Explicit Finite Element Program

Abstract The Finite Element (FE) method has long been recognized as an effective analytical tool for tire design analysis. However, meaningful prediction of the tire dynamic characteristics, such as tire transient responses, was not feasible due to the limitations of the traditional commercial FE programs. The availability of the explicit FE programs has made such simulation one step closer to reality. In this paper LS‐DYNA3D, an explicit FE program, is used to simulate a simple tire test, demonstrating that it is possible to predict the tire dynamic responses from the tire design data. Geometry, material properties of various components and the fiber reinforcement, layout, etc. of a commercial tire were used to create the tire FE model. Tire carcass composite properties were calculated from a strain energy function derived for the fiber‐reinforced rubber. The Mooney constitutive law was adopted for the elastic properties of the rubbers. The tire model was coupled with a rigid wheel model and inflated to .