LLukas22/scidocs huggingface dataset:
Subtitle-free Movie to Script Alignment

Scripts of movies and TV videos, offer a number of possibilities for video understanding: they can provide supervisory information for identifying characters [2] or learning actions [3]; they enable text-based retrieval and search [4]; they enable a scene level organization of the video material [1], etc. The typical method of aligning a script (or transcript) with TV or movie videos, is by applying dynamic time warping with the subtitles, as introduced by Everingham et al. [2]. However, subtitles are not readily available for many old films, silent movies and non-European language videos. In this paper, our objective is the visual alignment between TV/movie videos and their scripts, without using subtitles. Achieving such an alignment increases the scope and applicability of script-based approaches to videos with little or no spoken dialogue. The challenge of the problem is in the comparison and matching of visual information of the video with descriptions given in the script. These descriptions generally involve objects and actions for which visual recognition is not yet mature. Our approach is to combine several cues, both visual and auditory, which in themselves are not quite reliable, but when combined provide sufficiently strong constraints for a full alignment. We pose the problem as one of multi-state labelling of a sequence of shots, where the states for each shot correspond to the sentences of the script. For a correct alignment, each sentence should compete for the right shot to fall into. The voting of a shot should depend on common features that can be extracted from both the sentence and the shot. Towards this end, we extract three clues from each shot/sentence: < Location,Face,Speech >. Location recognition helps in localizing sentences to the shots belonging to the given scene. We begin by locating stock-shots using a nearduplicate detection technique. This specifies the start of the scene. The location of each shot is then recognised using a Bag-of-Visual-Words [5] based SVM classifier. By combining the results from both, we obtain the temporal segmetation of the video. It is more likely that a sentence belongs to a shot where the speaker of the sentence is visible. To ascertain the presence of the particular character in a shot, we detect and recognize faces across the shot. The detected faces are matched against a set of exemplars for each character. A Kernel-SVM using the min-min distance between face tracks is learnt for each person. The classifier with the best score gives the label for the faces in the shot. Further evidence of sentence-shot correspondence could be obtained from speech recognition. We recognize the speech of each shot using a commercial speech recognizer. Though the actual recognition performance is quite poor, the limited matches do help in the alignment. Independently, each of the audio-visual recognition modules are not accurate enough to align the movie with the script. We thus integrate all the clues into a local assignment cost d(i, j) as
Host Fingerprinting and Tracking on the Web: Privacy and Security Implications

Many web services aim to track clients as a basis for analyzing their behavior and providing personalized services. Despite much debate regarding the collection of client information, there have been few quantitative studies that analyze the effectiveness of host-tracking and the associated privacy risks. In this paper, we perform a large-scale study to quantify the amount of information revealed by common host identifiers. We analyze month-long anonymized datasets collected by the Hotmail web-mail service and the Bing search engine, which include millions of hosts across the global IP address space. In this setting, we compare the use of multiple identifiers, including browser information, IP addresses, cookies, and user login IDs. We further demonstrate the privacy and security implications of host-tracking in two contexts. In the first, we study the causes of cookie churn in web services, and show that many returning users can still be tracked even if they clear cookies or utilize private browsing. In the second, we show that host-tracking can be leveraged to improve security. Specifically, by aggregating information across hosts, we uncover a stealthy malicious attack associated with over 75,000 bot accounts that forward cookies to distributed locations. This work was done while Ting-Fang was an intern at Microsoft Research. Martı́n Abadi is also affiliated with the University of California, Santa Cruz.
Player Classification Using a Meta-Clustering Approach

Player classification has recently become a key aspect of game design in areas such as adaptive game systems, player behaviour prediction, player tutoring and non-player character design. Past research has focused on the design of hierarchical, preferencebased and probabilistic models aimed at modelling players' behaviour. We propose a meta-classification approach that breaks the clustering of gameplay mixed data into three levels of analysis. The first level uses dimensionality reduction and partitional clustering of aggregate game data in an action/skillbased classification. The second level applies similarity-based clustering of action sequences to group players according to their preferences. For this we propose a new approach which uses Rubner’s Earth Mover’s Distance (EMD) as a similarity metric to compare histograms of players’ game world explorations. The third level applies a combination of social network analysis metrics, such as shortest path length, to social data to find clusters in the players' social network. We test our approach in a gameplay dataset from a freely available first-person social hunting game.
C-peptide does not affect ocular blood flow in patients with type 1 diabetes.

OBJECTIVE
The aim of the present study was to investigate the effect of intravenous C-peptide infusion on ocular blood flow in patients with type 1 diabetes under euglycemic conditions.


RESEARCH DESIGN AND METHODS
The study was performed in a randomized, placebo-controlled, double-masked, two-way, crossover design in 10 type 1 diabetic patients. C-peptide was intravenously administered at two different dosages (dosage 1: 25 pmol . kg(-1) . min(-1) bolus followed by 5 pmol . kg(-1) . min(-1) continuous infusion; dosage 2: six times higher than dosage 1), each for 60 min. Physiologic saline solution was used as a control for C-peptide on a different study day. On both study days, euglycemic clamps were performed. To assess retinal blood flow, laser Doppler velocimetry (blood flow velocities) and retinal vessel analyzer (vessels diameters) measurements were performed. Laser interferometric measurements of fundus pulsation were used to assess pulsatile choroidal blood flow. Blood velocities in the ophthalmic artery were measured using color Doppler imaging.


RESULTS
Eight patients (two female and six male) completed the study according to the protocol and without adverse events. One patient developed an anaphylactic reaction to C-peptide, which resolved without sequelae. The following results originate from the remaining eight subjects. Systemic hemodynamic parameters remained stable during both study days. Infusion of C-peptide did not affect any ocular hemodynamic parameter.


CONCLUSIONS
The data of the present study indicate that exogenous C-peptide exerts no effect on ocular hemodynamic parameters in type 1 diabetic patients under euglycemic conditions. The maximum detectable change in these parameters was <25%.
OPTIMIZATION OF SURFACE ROUGHNESS OF AISI 304 AUSTENITIC STAINLESS STEEL IN DRY TURNING OPERATION USING TAGUCHI DESIGN METHOD

The present work is concentrated with the dry turning of AISI 304 Austenitic Stainless Steel (ASS). This paper presents the influence of cutting parameters like cutting speed, feed rate and depth of cut on the surface roughness of austenitic stainless steel during dry turning. A plan of experiments based on Taguchi’s technique has been used to acquire the data. An orthogonal array, the signal to noise (S/N) ratio and the analysis of variance (ANOVA) are employed to investigate the cutting characteristics of AISI 304 austenitic stainless steel bars using TiC and TiCN coated tungsten carbide cutting tool. Finally the confirmation tests that have been carried out to compare the predicted values with the experimental values confirm its effectiveness in the analysis of surface roughness.
Effectiveness of public health interventions in food safety: a systematic review.

PURPOSE
To summarize evidence on the effectiveness of public health interventions regarding food safety at restaurants, institutions, homes and other community-based settings.


METHOD
This systematic review of published and unpublished studies involved a comprehensive literature search, screening for relevance, quality assessment of relevant studies, data extraction and synthesis.


RESULTS
The interventions identified in 15 studies included in this review were grouped into three categories: inspections, food handler training, and community-based education. The evidence suggests that: routine inspection (at least once per year) of food service premises is effective in reducing the risk of foodborne illness; food handler training can improve the knowledge and practices of food handlers; and selected community-based education programs can increase public knowledge of food safety.


DISCUSSION
There is some evidence for the effectiveness of multiple public health interventions on food safety. Future research needs include evaluation of HACCP and community-based education programs.
Virtual neighborhoods and pseudo-holomorphic curves

Since Gromov introduced his pseudo-holomorphic curve theory in the 80’s, pseudoholomorphic curve has soon become an eminent technique in symplectic topology. Many important theorems in this field have been proved by this technique, among them, the squeezing theorem [Gr], the rigidity theorem [E], the classification of rational and ruled symplectic 4-manifolds [M2], the proof of the existence of non-deformation equivalent symplectic structures [R2]. The pseudo-holomorphic curve also plays a critical role in a number of new subjects such as Floer homology theory,etc. In the meantime of this development, a great deal of efforts has been made to solidify the foundation of pseudo-holomorphic curve theory, for examples, McDuff’s transversality theorem for “cusp curves” [M1] and the various proofs of Gromov compactness theorem. In the early day of Gromov theory, Gromov compactness theorem was enough for its applications to symplectic topology. However, it was insufficient for its potential applications in algebraic geometry, where a good compactification is often very important. For example, it is particularly desirable to tie Gromov-compactness theorem to the DeligneMumford compactification of the moduli space of stable curves. Gromov’s original proof is geometric. Afterwards, many works were done to prove Gromov compactness theorem in the line of Uhlenbeck bubbling off. It was succeed by Parker-Wolfson [PW] and Ye [Ye]. One outcome of their work was a more delicate compactification of the moduli space of pseudo-holomorphic maps. But it didn’t attract much attention until several years later when Kontsevich and Manin [KM] rediscovered this new compactification in algebraic geometry and initiated an algebro-geometric approach to the same theory. Now this new compactification becomes known as the moduli space of stable maps. The moduli space of stable maps is one of the basic ingredients of this paper. During last several years, pseudo-holomorphic curve theory entered a period of rapid expansion. We has witnessed its intensive interactions with algebraic geometry, mathematical physics and recently with new Seiberg-Witten theory of 4-manifolds [T2]. One should mention that those recent activities in pseudo-holomorphic curve theory did not come from the internal drive of symplectic topology. It was influenced mostly by mathematical physics, particularly, Witten’s theory of topological sigma model. Around 1990, there were many activities in string theory about “quantum cohomology” and mirror symmetry. The core of quantum cohomology theory is so called “counting the numbers of
Composing life.

Textbooks often assert that life began with specialized complex molecules, such as RNA, that are capable of making their own copies. This scenario has serious difficulties, but an alternative has remained elusive. Recent research and computer simulations have suggested that the first steps toward life may not have involved biopolymers. Rather, non-covalent protocellular assemblies, generated by catalyzed recruitment of diverse amphiphilic and hydrophobic compounds, could have constituted the first systems capable of information storage, inheritance and selection. A complex chain of evolutionary events, yet to be deciphered, could then have led to the common ancestors of today's free-living cells, and to the appearance of DNA, RNA and protein enzymes.
Stability Analysis and Damping Enhancement Based on Frequency-Dependent Virtual Impedance for DC Microgrids

This paper focuses on the stability analysis and damping performance improvement of dc microgrids. The small-signal model of a dc microgrid has been derived. Eigenvalue analysis results reveal the relationship between the system stability and different factors of dc microgrids, including types of dc load, the droop coefficient, line parameters, etc. It shows that the poorly damped LC circuits in dc microgrids reduce the system damping and bring in high frequency oscillations. To improve the damping performance, a frequency-dependent virtual impedance approach is proposed, which can effectively shape the high frequency impedance of the dc bus voltage control units, improve the system stability, and mitigate the oscillations. Detailed design guidelines on virtual impedance to achieve good stability and transient performance are also provided. Simulation and experimental results are obtained to confirm the validity of the proposed approach.
Pre-test and post-test evaluation of students' perceptions of a collaborative clinical education model on the learning environment.

OBJECTIVE
This study investigated the impact of a collaborative clinical education model on students' perception of the psycho-social learning environment.


DESIGN
A pre-test and post-test quasi experimental design.


SETTING
A tertiary referral centre.


SUBJECTS
Second and third year undergraduate nursing students were asked to rate their perceptions of the psycho-social learning environment at the completion of the clinical practicum. TOOL: The tool used to measure psycho-social perceptions of the clinical learning environment was the Clinical Learning Environment Inventory previously validated in Australian health care contexts.


INTERVENTION
A collaborative arrangement with the university and ward staff where eight students are placed on a ward and a ward staff member is paid by the university to be 'off-line' from a clinical workload to supervise the students. This is in contrast to the standard facilitation model where students are placed with registered nurses in different localities under the supervision of a 'roving' registered nurse paid by the university.


RESULTS
No significant differences were found in pre-test mean scores when comparing wards. Significant differences in post-test scores for the intervention group were identified in the sub scales of Student Involvement, Satisfaction, Personalisation and Task Orientation.


CONCLUSIONS
The adoption of a collaborative clinical education model where students are integrated into the ward team and the team is responsible for student learning can positively enhance capacity for student learning during their clinical practicum.
The Use of Augmented Reality Pop-Up Book to Increase Motivation in English Language Learning For National Primary School

This research study describes the use of Augmented Reality (AR) as an emerging form of experience in which the real world is enhanced by computer-generated content. AR pop-up books for instance will help students bridge the gap between the digital and physical world. Students are able to use the AR pop-up book as the primary interface, changing perspective or direction by moving the book through their webcam where a marker detection which is a two-dimensional patterns to carry information that are attached to the book page. AR technology is adopted in this research study because it has the potential to motivate and support students in English language learning. In learning a second language, research has established that it is utmost important that students receive maximum support in terms of supportive and conducive learning environment. The AR pop-up book is developed using ZooBurst tool and the design is incorporated with a problem solving approach which is Keller’s ARCS model: Attention, Relevance, Confidence, and Satisfaction. The development process is enhanced using Keller’s ARCS model of motivational design. The result of the study is obtained from observations of Year One primary school students using the AR pop-up book and followed by semi-structured interview.
A Hybrid Driving Scheme for Full-Bridge Synchronous Rectifier in LLC Resonant Converter

The LLC resonant converter with a full-bridge rectifier can achieve two balanced outputs with a simple balancing capacitor, which is quite attractive for LED driver application. To further improve the efficiency, synchronous rectification is an effective way to reduce the conduction loss of the rectifier. In this paper, a new hybrid driving scheme for full-bridge-type synchronous rectifier (SR) in LLC resonant dc/dc converter is proposed. The proposed hybrid driving scheme combines voltage-driving method and current-driving method to drive the SRs with simple circuit structure. The high-side SRs are driven by one auxiliary winding of the transformer and the low-side SRs are driven by a current transformer with only one secondary winding. Furthermore, the proposed method can be operated in discontinuous conduction mode and continuous conduction mode conditions. The detailed operation principles and design considerations are presented. Finally, the experimental results from a 200-kHz 100-W prototype verify the theoretical analysis.
Narcissism and academic dishonesty : The exhibitionism dimension and the lack of guilt

Narcissism is associated with morally questionable behavior in the workplace, but little is known about the role of specific dimensions of narcissism or the mechanism behind these effects. The current study assessed academic dishonesty among college students. One hundred and ninety-nine participants either self-reported or reported others’ cheating behavior and completed the Narcissistic Personality Inventory (NPI; Raskin & Terry, 1988). The exhibitionism dimension of the NPI predicted greater cheating; this effect was explained by the lack of guilt. The effects of exhibitionism held for the self but not other-report conditions, highlighting the key role of the self in narcissism. Findings held when controlling for relevant demographic variables and other narcissism factors. Thus the narcissists’ ambitions for their own academic achievement lead to cheating in school, facilitated by a lack of guilt for their immoral behavior. 2010 Elsevier Ltd. All rights reserved.
A randomized controlled trial on the effects of combined aerobic-resistance exercise on muscle strength and fatigue, glycemic control and health-related quality of life of type 2 diabetes patients.

BACKGROUND
The aim of this paper was to evaluate the effects of a 12-weeks combined aerobic-resistance exercise therapy on fatigue and isokinetic muscle strength, glycemic control and health-related quality of life (HRQoL) in moderately affected type 2 diabetes (T2DM) patients.


METHODS
A randomized controlled trial design was employed. Forty-three T2DM patients were assigned to an exercise group (N.=22), performing 3 weekly sessions of 60 minutes of combined aerobic-resistance exercise for 12-weeks; or a no exercise control group (N.=21). Both groups were evaluated at a baseline and after 12-weeks of exercise therapy for: 1) muscle strength and fatigue by isokinetic dynamometry; 2) plasma glycated hemoglobin A1C (HbA1C); and 3) HRQoL utilizing the SF-36 questionnaire.


RESULTS
The exercise therapy led to improvements in muscle fatigue in knee extensors (-55%) and increased muscle strength in knee flexors and extensors (+15 to +30%), while HbA1C decreased (-18%). In addition, the exercising patients showed sizeable improvements in HRQoL: physical function (+53%), vitality (+21%) and mental health (+40%).


CONCLUSIONS
Twelve-weeks of combined aerobic-resistance exercise was highly effective to improve muscle strength and fatigue, glycemic control and several aspects of HRQoL in T2DM patients. These data encourage the use of aerobic and resistance exercise in the good clinical care of T2DM.
Best infection control practices for intradermal, subcutaneous, and intramuscular needle injections.

OBJECTIVE
To draw up evidence-based guidelines to make injections safer.


METHODS
A development group summarized evidence-based best practices for preventing injection-associated infections in resource-limited settings. The development process included a breakdown of the WHO reference definition of a safe injection into a list of potentially critical steps, a review of the literature for each of these steps, the formulation of best practices, and the submission of the draft document to peer review.


FINDINGS
Eliminating unnecessary injections is the highest priority in preventing injection-associated infections. However, when intradermal, subcutaneous, or intramuscular injections are medically indicated, best infection control practices include the use of sterile injection equipment, the prevention of contamination of injection equipment and medication, the prevention of needle-stick injuries to the provider, and the prevention of access to used needles.


CONCLUSION
The availability of best infection control practices for intradermal, subcutaneous, and intramuscular injections will provide a reference for global efforts to achieve the goal of safe and appropriate use of injections. WHO will revise the best practices five years after initial development, i.e. in 2005.
Suspicious Behavior Detection: Current Trends and Future Directions

Different real-world applications have varying definitions of suspicious behaviors. Detection methods often look for the most suspicious parts of the data by optimizing scores, but quantifying the suspiciousness of a behavioral pattern is still an open issue.