LLukas22/scidocs huggingface dataset:
Waiting for Something to Happen: Narratives, Interactivity and Agency and the Video Game Cut-scene

Since the appearance in 1978 of Adventure on the Atari 2600, the cut-scene (alternatively cutscene or cut scene) has been a key component to many video games. Often, the cut-scene gives narrative shape to the game experience, moving the player along through a series of events culminating in the story's end. Cybertheorists such as Hayles, Murray and Frasca have explored the ways in which digital interactive media and the video game introduce new paradigms of narrative and storytelling, as well new conceptions of interactivity and agency. However, in many ways the inclusion of cut-scenes raises many of the problems concerning the theoretical structures with which to investigate video games. Since cut-scenes often follow cinematic codes of representation, current theory often renders the cut-scene as passive and non-interactive, as opposed to the interactive nature of gameplay. Yet as film theory has shown, especially in the effects of suturing and such, cinema offers a kind of psychic interactivity that blurs the hard boundary often drawn between cinema and gameplay. The cut-scene then becomes the locus of the tension in video games between cinematic representation and gameplay, and subsequently, an investigation of the cut-scene and its role in the video game can offer substantial insight into the nature of agency and interactivity within the video game. Using the release of Capcom’s Resident Evil 4 and Ubisoft’s Peter Jackson’s King Kong: The Official Game of the Movie, both of which challenge the traditional definitions and uses of the cutscene, this paper will study the different ways in which the cut-scene operates within the video game. It will not only discuss current conceptions of agency and interactivity within the video game, but also offer an transmedia framework, after the work of Marsha Kinder, with which to explore the relationship between narrative and gameplay, cinema and simulation in the video game.
FUTURE TRENDS OF TILAPIA AQUACULTURE IN THE AMERICAS

Tilapia is a relatively new seafood product in the Americas. Aquaculture of tilapia in the Americas began with small scale culture for subsistence farming in the late 1960s and 1970s. Large scale production and international trade of tilapia products developed in the 1980s and 1990s. Rapid increases in production can be attributed to improvements in aquaculture technology and infrastructure in several nations in the Americas that are major producers, and to greater numbers of trained biologists. Increases in consumption of tilapia are the result of more consumer recognition, improved quality, variety of product forms, better marketing, and overall increased demand for fish products. The Mozambique tilapia, Oreochromis mossambicus, was the first species widely distributed in the Americas and still accounts for a significant proportion of tilapia production. Other tilapia species, hybrids and strains have since become more popular. In the future, we can expect a decrease in the number of species farmed. However, the industry is likely to see increases in the number of strains or breeds of O. niloticus and red hybrid strains available. The volume of tilapia produced in the Americas is likely to double in the next 10 y. Most of these increases will occur in tropical regions. Temperate regions will see a moderate increase in production that will primarily supply niche markets for live fish and local fresh product. In both the tropics and temperate zones, production will become more intensive with more complete diets, aeration, water reuse, and disease control as important factors. Another trend that is likely to continue is increased processing in the country of origin. Levels of sophistication in production, processing, and packaging have risen considerably in recent years and this trend will continue. Several countries have adopted Hazard Analysis at Critical Control Points (HACCP) as the basis for their processing regulations, which will facilitate export of tilapia products to the US and Europe. Technology, equipment, and expertise are rapidly spreading from the US, Europe and Israel to Latin America and the Caribbean. Domestic markets outside the US and Canada are also absorbing higher value forms of tilapia. This increase in demand for filleted and packaged products has benefited producers outside the US by reducing transportation costs and smoothing out demand swings. Organization of the Tilapia Marketing Institute (TMI) should provide a further boost to demand in the US. TMI was founded in 1998 and funded ($250,000) by several large producers and marketers. The goal of TMI is increasing awareness and demand for tilapia products.
Panitumumab versus cetuximab in patients with chemotherapy-refractory wild-type KRAS exon 2 metastatic colorectal cancer (ASPECCT): a randomised, multicentre, open-label, non-inferiority phase 3 study.

BACKGROUND
The anti-EGFR monoclonal antibodies panitumumab and cetuximab are effective in patients with chemotherapy-refractory wild-type KRAS exon 2 metastatic colorectal cancer. We assessed the efficacy and toxicity of panitumumab versus cetuximab in these patients.


METHODS
For this randomised, open-label, phase 3 head-to-head study, we enrolled patients (from centres in North America, South America, Europe, Asia, Africa, and Australia) aged 18 years or older with chemotherapy-refractory metastatic colorectal cancer, an Eastern Cooperative Oncology Group (ECOG) performance status of 2 or less, and wild-type KRAS exon 2 status. Using a computer-generated randomisation sequence, we assigned patients (1:1; stratified by geographical region and ECOG performance status, with a permuted block method) to receive panitumumab (6 mg/kg once every 2 weeks) or cetuximab (initial dose 400 mg/m(2); 250 mg/m(2) once a week thereafter). The primary endpoint was overall survival assessed for non-inferiority (retention of ≥ 50% of the cetuximab treatment effect; historical hazard ratio [HR] for cetuximab plus best supportive care vs best supportive care alone of 0.55). The primary analysis included patients who received one or more dose of panitumumab or cetuximab, analysed per allocated treatment. Recruitment for this trial is closed. The trial is registered with ClinicalTrials.gov, number NCT01001377.


FINDINGS
Between Feb 2, 2010, and July 19, 2012, we enrolled and randomly allocated 1010 patients, 999 of whom began study treatment: 499 received panitumumab and 500 received cetuximab. For the primary analysis of overall survival, panitumumab was non-inferior to cetuximab (Z score -3.19; p=0.0007). Median overall survival was 10.4 months (95% CI 9.4-11.6) with panitumumab and 10.0 months (9.3-11.0) with cetuximab (HR 0.97; 95% CI 0.84-1.11). Panitumumab retained 105.7% (81.9-129.5) of the effect of cetuximab on overall survival seen in this study. The incidence of adverse events of any grade and grade 3-4 was similar across treatment groups. Grade 3-4 skin toxicity occurred in 62 (13%) patients given panitumumab and 48 (10%) patients given cetuximab. The occurrence of grade 3-4 infusion reactions was lower with panitumumab than with cetuximab (one [<0.5%] patient vs nine [2%] patients), and the occurrence of grade 3-4 hypomagnesaemia was higher in the panitumumab group (35 [7%] vs 13 [3%]). We recorded one treatment-related fatal adverse event: a lung infection in a patient given cetuximab.


INTERPRETATION
Our findings show that panitumumab is non-inferior to cetuximab and that these agents provide similar overall survival benefit in this population of patients. Both agents had toxicity profiles that were to be expected. In view of the consistency in efficacy and toxicity seen, small but meaningful differences in the rate of grade 3-4 infusion reactions and differences in dose scheduling can guide physician choice of anti-EGFR treatment.
Shared Task on Prediction of Dropout Over Time in Massively Open Online Courses

The shared task on Prediction of Dropout Over Time in MOOCs involves analysis of data from 6 MOOCs offered through Coursera. Data from one MOOC with approximately 30K students was distributed as training data and consisted of discussion forum data (in SQL) and clickstream data (in JSON format). The prediction task was Predicting Attrition Over Time. Based on behavioral data from a week’s worth of activity in a MOOC for a student, predict whether the student will cease to actively participate after that week. This paper describes the task. A full write up of the results is published separately (Rosé & Siemens, 2014).
Mining Educational Data Using Classification to Decrease Dropout Rate of Students

In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. Since most of the institutions are opened in private mode therefore, a cut throat competition rises among these institutions while attracting the student to got admission. This is the reason for institutions to focus on the strength of students not on the quality of education. This paper presents a data mining application to generate predictive models for engineering student’s dropout management. Given new records of incoming students, the predictive model can produce short accurate prediction list identifying students who tend to need the support from the student dropout program most. The results show that the machine learning algorithm is able to establish effective predictive model from the existing student dropout data. Keywords– Data Mining, Machine Learning Algorithms, Dropout Management and Predictive Models
Accuracy of reported service use in a cohort of people who are chronically homeless and seriously mentally ill

BACKGROUND
Self-reported service use is an integral feature of interventional research with people who are homeless and mentally ill. The objective of this study was to investigate the accuracy of self-reported involvement with major categories of publicly funded services (health, justice, social welfare) within this sub-population.


METHODS
Measures were administered pre-randomization in two randomized controlled trials, using timeline follow back with calendar aids for Health, Social, and Justice Service Use, compared to linked administrative data. Variables examined were: psychiatric admissions (both extended stays of more than 6 months and two or more stays within 5 years); emergency department visits, general hospitalization and jail in the past 6 months; and income assistance in the past 1 month. Participants (n = 433) met criteria for homelessness and a least one mental illness.


RESULTS
Prevalence adjusted and bias adjusted kappa (PABAK) values ranged between moderate and almost perfect for extended psychiatric hospital separations (PABAK: 0.77; 95 % confidence interval (CI) = 0.71, 0.83), multiple psychiatric hospitalizations (PABAK = 0.50, 95 % CI = 0.41, 0.59), emergency department visits (PABAK: 0.77; 95 % CI = 0.71, 0.83), jail (PABAK: 0.74; 95 % CI = 0.68, 0.81), and income assistance (PABAK: 0.82; 95 % CI = 0.76, 0.87). Significant differences in under versus over reporting were also found.


CONCLUSIONS
People who are homeless and mentally ill reliably reported their overall use of health, justice, and income assistance services. Evidence of under-reporting and over-reporting of certain variables has implications for specific research questions. ISRCTN registry: 57595077 (Vancouver at Home Study: Housing First plus Assertive Community Treatment versus congregate housing plus supports versus treatment as usual); and 66721740 (Vancouver at Home study: Housing First plus Intensive Case management versus treatment as usual).
Anderson Acceleration for Fixed-Point Iterations

This paper concerns an acceleration method for fixed-point iterations that originated in work of D. G. Anderson [J. Assoc. Comput. Mach., 12 (1965), pp. 547–560], which we accordingly call Anderson acceleration here. This method has enjoyed considerable success and wide usage in electronic structure computations, where it is known as Anderson mixing ; however, it seems to have been untried or underexploited in many other important applications. Moreover, while other acceleration methods have been extensively studied by the mathematics and numerical analysis communities, this method has received relatively little attention from these communities over the years. A recent paper by H. Fang and Y. Saad [Numer. Linear Algebra Appl., 16 (2009), pp. 197–221] has clarified a remarkable relationship of Anderson acceleration to quasi-Newton (secant updating) methods and extended it to define a broader Anderson family of acceleration methods. In this paper, our goals are to shed additional light on Anderson acceleration and to draw further attention to its usefulness as a general tool. We first show that, on linear problems, Anderson acceleration without truncation is “essentially equivalent” in a certain sense to the generalized minimal residual (GMRES) method. We also show that the Type 1 variant in the Fang–Saad Anderson family is similarly essentially equivalent to the Arnoldi (full orthogonalization) method. We then discuss practical considerations for implementing Anderson acceleration and illustrate its performance through numerical experiments involving a variety of applications.
Confirmation of novel noninvasive high-density electrocardiographic mapping with electrophysiology study: implications for therapy.

BACKGROUND
Twelve lead ECGs have limited value in precisely identifying atrial and ventricular activation during arrhythmias, including accessory atrioventricular conduction activation. The aim of this study was to report a single center's clinical experience validating a novel, noninvasive, whole heart, beat-by-beat, 3-dimensional mapping technology with invasive electrophysiological studies, including ablation, where applicable.


METHODS AND RESULTS
Using an electrocardiographic mapping (ECM) system in 27 patients, 3-dimensional epicardial activation maps were generated from >250 body surface ECGs using heart-torso geometry obtained from computed tomographic images. ECM activation maps were compared with clinical diagnoses, and confirmed with standard invasive electrophysiological studies mapping. (1) In 6 cases of Wolff-Parkinson-White syndrome, ECM accurately identified the ventricular insertion site of an accessory atrioventricular connection. (2) In 10 patients with premature ventricular complexes, ECM accurately identified their ventricular site of origin in 8 patients. In 2 of 10 patients transient premature ventricular complex suppression was observed during ablation at the site predicted by ECM as the earliest. (3) In 10 cases of atrial tachycardia/atrial flutter, ECM accurately identified the chamber of origin in all 10, and distinguished isthmus from nonisthmus dependent atrial flutter. (4) In 1 patient with sustained exercise induced ventricular tachycardia, ECM accurately identified the focal origin in the left ventricular outflow tract.


CONCLUSIONS
ECM successfully provided valid activation sequence maps obtained noninvasively in a variety of rhythm disorders that correlated well with invasive electrophysiological studies.
Semantic annotation for news feeds

Annotation is the process of adding semantic metadata to resources so that data becomes more meaningful. Creating additional metadata by document annotation is considered one of the main techniques that make machines understand and deal with data on the web. Our paper presents a semantic framework that annotates RSS News Feeds. Semantic Annotation for News Feeds Frameworks (SANF) aims to enrich web content by using semantic metadata easily which facilitates searching and adding of web content.
Autoimmune progesterone dermatitis with delayed intradermal skin reaction: A case report.

A 47-year-old, gravida 3, para 2 woman presented to the allergy and vesiculobullous eruptions, eczematous lesions, fixed-drug erupimmunology clinic with a recurrent, cyclical urticarial rash on the trunk and upper extremities of 1-year duration. A detailed clinical history revealed that the rash appeared approximately 10 days before menses and spontaneously remitted 2 to 3 days into her menstruation period. The lesions always commenced on the right shoulder, resolved after a few days, then reappeared at other locations. The lesions were pruritic, burning, and not associated with systemic symptoms. Previous unsuccessful medical management included a 1-time steroid injection, topical steroid creams, and histamine1and histamine2-antagonists. Her medical history is significant for Crohn disease, and she was not taking any medications. There were no lesions present on initial examination. A complete blood cell count revealed the following: hemoglobin, 13.0 g/ dL; hematocrit, 39.5%; white blood cells, 7,500/mL (eosinophils, 100/ mL) and platelets, 212,000/mL. Sedimentation rate, antinuclear antibody level, C4 level, tryptase level, and liver and thyroid function test results were within normal limits. A punch biopsy specimen was obtained from a lesion on the right upper arm at a subsequent visit, which revealed perivascular lymphocytic inflammationwith rare eosinophils. The results of skin prick testing with progesterone (50 mg/mL in normal saline) were negative. The results of intradermal testing (50 mg/mL of progesterone at dilutions of 1:1,000, 1:100, and 1:101) were initially negative at 20minute intervals. A 3-mm wheal and 6-mm flare at the 1:10 injection site evolved at 24 hours (Fig 1). The patient was prescribed levonorgestrel and ethinyl estradiol (0.1 and 0.02 mg, respectively) and ethinyl estradiol (0.01mg) with significant improvement of her symptoms. Autoimmune progesterone dermatitis (AIPD) is an uncommon hypersensitivity reaction to endogenous or exogenous progesterone, with fewer than 100 reported cases in the literature.1 It is a cyclical dermatosis that usually occurs in fertile women during the luteal phase of the menstrual cycle.2 Nonetheless, it has been reported in a man and postmenopausal women receiving exogenous progesterone.3 Lesions typically appear 3 to 10 days before menstrual flow and subside as progesterone levels decrease 2 to 3 days into menses.4 The natural course of AIPD varies, with some patients experiencing worsening symptoms over time and others achieving spontaneous remission. However, many patients require ongoing treatment for this chronic condition.5 The clinical presentation is highly variable and nonspecific and thus can be mistaken for other skin conditions. Cutaneous manifestations include urticarial lesions, erythema multiforme,
Semantic clustering: Identifying topics in source code

Many of the existing approaches in Software Comprehension focus on program structure or external documentation. However, by analyzing formal information the informal semantics contained in the vocabulary of source code are overlooked. To understand software as a whole, we need to enrich software analysis with the developer knowledge hidden in the code naming. This paper proposes the use of information retrieval to exploit linguistic information found in source code, such as identifier names and comments. We introduce Semantic Clustering, a technique based on Latent Semantic Indexing and clustering to group source artifacts that use similar vocabulary. We call these groups semantic clusters and we interpret them as linguistic topics that reveal the intention of the code. We compare the topics to each other, identify links between them, provide automatically retrieved labels, and use a visualization to illustrate how they are distributed over the system. Our approach is language independent as it works at the level of identifier names. To validate our approach we applied it on several case studies, two of which we present in this paper. Note: Some of the visualizations presented make heavy use of colors. Please obtain a color copy of the article for better understanding. 2006 Elsevier B.V. All rights reserved.
Saami reindeer pastoralism under climate change: Applying a generalized framework for vulnerability studies to a sub-arctic social–ecological system☆

A generalized vulnerability framework was used to structure an interdisciplinary and intercultural examination of factors that influence the ways in which reindeer pastoralism in Finnmark (northern Norway) may be affected by climate change. Regional and local (downscaled) climate projections included scenarios that can potentially influence foraging conditions for reindeer. None of the projections were without precedent; several climate change events in Finnmark during the last 100 years were at least as great as those projected in the next 20–30 years. Herders’ traditional responses to changes in both the natural and the socio-economic environments have depended on a flexibility in herding practice that is currently being eroded by several non-climate factors. The reduced of freedom of action resulting from loss of habitat, predation and aspects of governance (especially economic and legal constraints) potentially dwarves the putative effects of projected climate change on reindeer pastoralism. It may, however, also lead to situations in which new climatic conditions threaten the system in unprecedented ways. Developing appropriate methodologies for assessing the adaptive capacity, the vulnerability and the resilience of social–ecological systems to global changes remains a challenge. Recognition of the knowledge systems of Arctic cultures and the full engagement of local people throughout the process are key elements of the solution. r 2006 Elsevier Ltd. All rights reserved.
SecGraph: A Uniform and Open-source Evaluation System for Graph Data Anonymization and De-anonymization

In this paper, we analyze and systematize the state-ofthe-art graph data privacy and utility techniques. Specifically, we propose and develop SecGraph (available at [1]), a uniform and open-source Secure Graph data sharing/publishing system. In SecGraph, we systematically study, implement, and evaluate 11 graph data anonymization algorithms, 19 data utility metrics, and 15 modern Structure-based De-Anonymization (SDA) attacks. To the best of our knowledge, SecGraph is the first such system that enables data owners to anonymize data by state-of-the-art anonymization techniques, measure the data’s utility, and evaluate the data’s vulnerability against modern De-Anonymization (DA) attacks. In addition, SecGraph enables researchers to conduct fair analysis and evaluation of existing and newly developed anonymization/DA techniques. Leveraging SecGraph, we conduct extensive experiments to systematically evaluate the existing graph data anonymization and DA techniques. The results demonstrate that (i) most anonymization schemes can partially or conditionally preserve most graph utilities while losing some application utility; (ii) no DA attack is optimum in all scenarios. The DA performance depends on several factors, e.g., similarity between anonymized and auxiliary data, graph density, and DA heuristics; and (iii) all the state-of-the-art anonymization schemes are vulnerable to several or all of the modern SDA attacks. The degree of vulnerability of each anonymization scheme depends on how much and which data utility it preserves.