nils-herrmann/clean_scirepeval huggingface dataset:
Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting

We present a supervised machine learning system capable of matching internet devices to web cookies through filtering, feature engineering, binary classification, and post processing. The system builds a reasonably sized training and testing data set through filtering and feature engineering. We build 415 features in total. Some of these features were engineered to be O(n) time, stand alone classifiers for this problem. Other features use various natural language processing (NLP) techniques. Meta features are created by ridge regression and Adaboost. Then binary classification through two different gradient boosting (XGBoost with logarithmic loss) models is performed. A post processing pipeline connects devices and cookies in a way that maximizes F_0.5 score. Our machine learning system obtained a private F_0.5 score of 0.849562 for a final rank of 12th/340 on the ICDM 2015: Drawbridge Cross-Device Connections challenge.
Bedtime mobile phone use and sleep in adults.

The few studies that have investigated the relationship between mobile phone use and sleep have mainly been conducted among children and adolescents. In adults, very little is known about mobile phone usage in bed our after lights out. This cross-sectional study set out to examine the association between bedtime mobile phone use and sleep among adults.



A sample of 844 Flemish adults (18-94 years old) participated in a survey about electronic media use and sleep habits. Self-reported sleep quality, daytime fatigue and insomnia were measured using the Pittsburgh Sleep Quality Index (PSQI), the Fatigue Assessment Scale (FAS) and the Bergen Insomnia Scale (BIS), respectively. Data were analyzed using hierarchical and multinomial regression analyses.



Half of the respondents owned a smartphone, and six out of ten took their mobile phone with them to the bedroom. Sending/receiving text messages and/or phone calls after lights out significantly predicted respondents' scores on the PSQI, particularly longer sleep latency, worse sleep efficiency, more sleep disturbance and more daytime dysfunction. Bedtime mobile phone use predicted respondents' later self-reported rise time, higher insomnia score and increased fatigue. Age significantly moderated the relationship between bedtime mobile phone use and fatigue, rise time, and sleep duration. An increase in bedtime mobile phone use was associated with more fatigue and later rise times among younger respondents (≤ 41.5 years old and ≤ 40.8 years old respectively); but it was related to an earlier rise time and shorter sleep duration among older respondents (≥ 60.15 years old and ≥ 66.4 years old respectively).



Findings suggest that bedtime mobile phone use is negatively related to sleep outcomes in adults, too. It warrants continued scholarly attention as the functionalities of mobile phones evolve rapidly and exponentially.
Modified Titanium Implant as a Gateway to the Human Body: The Implant Mediated Drug Delivery System

The aim of this study was to investigate the efficacy of a proposed new implant mediated drug delivery system (IMDDS) in rabbits. The drug delivery system is applied through a modified titanium implant that is configured to be implanted into bone. The implant is hollow and has multiple microholes that can continuously deliver therapeutic agents into the systematic body. To examine the efficacy and feasibility of the IMDDS, we investigated the pharmacokinetic behavior of dexamethasone in plasma after a single dose was delivered via the modified implant placed in the rabbit tibia. After measuring the plasma concentration, the areas under the curve showed that the IMDDS provided a sustained release for a relatively long period. The result suggests that the IMDDS can deliver a sustained release of certain drug components with a high bioavailability. Accordingly, the IMDDS may provide the basis for a novel approach to treating patients with chronic diseases.
Games and Learning Management Systems : A Discussion about Motivational Design and Emotional Engagement

The increasing development of educational games as Learning Objects is an important resource for educators to motivate and engage students in several online courses using Learning Management Systems. Students learn more, and enjoy themselves more when they are actively involved, rather than just passive listeners. This article has the aim to discuss about how games may motivate learners, enhancing the teaching-learning process as well as assist instructor designers to develop educational games in order to engage students, based on theories of motivational design and emotional engagement.  learning objects; games; Learning Management Systems, motivational design, emotional engagement.
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages

This paper presents DAMESRL1, a flexible and open source framework for deep semantic role labeling (SRL). DAMESRL aims to facilitate easy exploration of model structures for multiple languages with different characteristics. It provides flexibility in its model construction in terms of word representation, sequence representation, output modeling, and inference styles and comes with clear output visualization. Additionally, it handles various input and output formats and comes with clear output visualization. The framework is available under the Apache 2.0 license.
Authentic assessment of teaching in context

The demands of teaching more challenging content to more diverse learners suggest a need for teacher education that enables teachers to become more sophisticated in their understanding of the e!ects of context and learner variability on teaching and learning. Instead of implementing set routines, teachers need to become ever more skillful in their ability to evaluate teaching situations and develop teaching responses that can be e!ective under di!erent circumstances. This article examines how a growing number of teacher education programs are using authentic assessments of teaching } cases, exhibitions, portfolios, and problem-based inquiries (or action research) } as tools to support teacher learning for these new challenges of practice. Using speci"c teacher education programs as examples, the article examines how and why these strategies appear to provide support for teacher learning and avenues for more valid assessment of teaching. The authors also discuss circumstances in which these strategies may be less e!ective and suggest features of the assessments and programmatic contexts that are associated with more and less successful use.
EFFECT OF POTASSIUM OXALATE ON LIVER FUNCTION AND KIDNEY TISSUE OF DOGS (BEAGLES)

Calcium oxalate crystalluria is a problem of growing concern in dogs. A few reports have discussed acute kidney injury by oxalates in dogs, describing ultrastructural findings in particular. We evaluated the possibility of deposition of calcium oxalate crystals in renal tissue and its probable consequences. Six dogs were intravenously injected with 0.5 M potassium oxalate (KOx) for seven consecutive days. By the end of the experiment, ultrasonography revealed a significant increase in the renal mass and renal parenchymal echogenicity. Serum creatinine and blood urea nitrogen levels were gradually increased. The histopathological features of the kidneys were assessed by both light and electron microscopy, which showed CaOx crystal deposition accompanied by morphological changes in the renal tissue of KOx injected dogs. Canine renal oxalosis provides a good model to study the biological and pathological changes induced upon damage of renal tissue by KOx injection.
Fatal propeller injuries: three autopsy case reports.

Most propeller injuries occur at water recreational facilities such as those with provision for water skiing, boat racing, skin and scuba diving. Propeller injuries resulting from nautical accidents can be fatal. The sharp blades of propellers rotating at high speeds cause multiple and serious injuries such as deep laceration, chop wounds, bone fractures and mutilation of extremities. We present the autopsy reports of three people who died after colliding with boat propellers.
Analysis of face gaze in autism using “Bubbles”

One of the components of abnormal social functioning in autism is an impaired ability to direct eye gaze onto other people's faces in social situations. Here, we investigated the relationship between gaze onto the eye and mouth regions of faces, and the visual information that was present within those regions. We used the "Bubbles" method to vary the facial information available on any given trial by revealing only small parts of the face, and measured the eye movements made as participants viewed these stimuli. Compared to ten IQ- and age-matched healthy controls, eight participants with autism showed less fixation specificity to the eyes and mouth, a greater tendency to saccade away from the eyes when information was present in those regions, and abnormal directionality of saccades. The findings provide novel detail to the abnormal way in which people with autism look at faces, an impairment that likely influences all subsequent face processing.
Traumatic and trauma-related amputations: Part II: Upper extremity and future directions.

Trauma is the most common reason for amputation of the upper extremity. The morphologic and functional distinctions between the upper and lower extremities render the surgical techniques and decision-making different in many key respects. Acceptance of the prosthesis and the outcomes are improved by performing a transradial rather than a more proximal amputation. Substantial efforts, including free tissue transfers when necessary, should be made to salvage the elbow. Careful management of the peripheral nerves is critical to minimize painful neuroma formation while preserving options for possible future utilization in targeted muscle reinnervation and use of a myoelectric prosthesis. Rapid developments with targeted muscle reinnervation, myoelectric prostheses, and composite tissue allotransplantation may dramatically alter surgical treatment algorithms in the near future for patients with severe upper-extremity trauma.
An Empirical Study of Knowledge Representation and Learning within Conceptual Spaces for Intelligent Agents

This paper investigates the practicality and effectiveness of conceptual spaces as a framework for knowledge representation. We empirically compares and contrasts two popular quantitative lazy learning systems (nearest neighbor learning and prototype learning) within conceptual spaces and mere multidimensional feature spaces. Experimental results demonstrates conceptual spaces are superior to mere multidimensional feature spaces in concept learning and confirm the virtue of conceptual spaces.
Cognitive sequelae of subthalamic nucleus deep brain stimulation in Parkinson's disease: a meta-analysis

Deep brain stimulation of the subthalamic nucleus (STN DBS) is an increasingly common treatment for Parkinson's disease. Qualitative reviews have concluded that diminished verbal fluency is common after STN DBS, but that changes in global cognitive abilities, attention, executive functions, and memory are only inconsistently observed and, when present, often nominal or transient. We did a quantitative meta-analysis to improve understanding of the variability and clinical significance of cognitive dysfunction after STN DBS.



We searched MedLine, PsycLIT, and ISI Web of Science electronic databases for articles published between 1990 and 2006, and extracted information about number of patients, exclusion criteria, confirmation of target by microelectrode recording, verification of electrode placement via radiographic means, stimulation parameters, assessment time points, assessment measures, whether patients were on levodopa or dopaminomimetics, and summary statistics needed for computation of effect sizes. We used the random-effects meta-analytical model to assess continuous outcomes before and after STN DBS.



Of 40 neuropsychological studies identified, 28 cohort studies (including 612 patients) were eligible for inclusion in the meta-analysis. After adjusting for heterogeneity of variance in study effect sizes, the random effects meta-analysis revealed significant, albeit small, declines in executive functions and verbal learning and memory. Moderate declines were only reported in semantic (Cohen's d 0.73) and phonemic verbal fluency (0.51). Changes in verbal fluency were not related to patient age, disease duration, stimulation parameters, or change in dopaminomimetic dose after surgery.



STN DBS, in selected patients, seems relatively safe from a cognitive standpoint. However, difficulty in identification of factors underlying changes in verbal fluency draws attention to the need for uniform and detailed reporting of patient selection, demographic, disease, treatment, surgical, stimulation, and clinical outcome parameters.
Generic semantics of feature diagrams

Feature Diagrams (FD) are a family of popular modelling languages used to address the feature interaction problem, particularly in software product lines. FD were first introduced by Kang as part of the FODA (Feature Oriented Domain Analysis) method back in 1990. Afterwards, various extensions of FODA FD were introduced to compensate for a purported ambiguity and lack of precision and expressiveness. However, they never received a formal semantics, which is the hallmark of precision and unambiguity and a prerequisite for efficient and safe tool automation. The reported work is intended to contribute a more rigorous approach to the definition, understanding, evaluation, selection and implementation of FD languages. First, we provide a survey of FD variants. Then, we give them a formal semantics, thanks to a generic construction that we call Free Feature Diagrams (FFD). This demonstrates that FD can be precise and unambiguous. This also defines their expressiveness. Many variants are expressively complete, and thus the endless quest for extensions actually cannot be justified by expressiveness. A finer notion is thus needed to compare these expressively complete languages. Two solutions are well-established: succinctness and embeddability, that express the naturalness of a language. We show that the expressively complete FD fall into two succinctness classes, of which we of course recommend the most succinct. Among the succinct expressively complete languages, we suggest a new, simple one that is not harmfully redundant: Varied FD (VFD). Finally, we study the execution time that tools will need to solve useful problems in these languages.
NEuro COgnitive REhabilitation for Disease of Addiction (NECOREDA) Program: From Development to Trial.

Despite extensive evidence for cognitive deficits associated with drug use and multiple publications supporting the efficacy of cognitive rehabilitation treatment (CRT) services for drug addictions, there are a few well-structured tools and organized programs to improve cognitive abilities in substance users. Most published studies on cognitive rehabilitation for drug dependent patients used rehabilitation tools, which have been previously designed for other types of brain injuries such as schizophrenia or traumatic brain injuries and not specifically designed for drug dependent patients. These studies also suffer from small sample size, lack of follow-up period assessments and or comprehensive treatment outcome measures. To address these limitations, we decided to develop and investigate the efficacy of a paper and pencil cognitive rehabilitation package called NECOREDA (Neurocognitive Rehabilitation for Disease of Addiction) to improve neurocognitive deficits associated with drug dependence particularly caused by stimulants (e.g. amphetamine type stimulants and cocaine) and opiates. To evaluate the feasibility of NECOREDA program, we conducted a pilot study with 10 opiate and methamphetamine dependent patients for 3 months in outpatient setting. NECOREDA was revised based on qualitative comments received from clients and treatment providers. Final version of NECOREDA is composed of brain training exercises called "Brain Gym" and psychoeducational modules called "Brain Treasures" which is implemented in 16 training sessions interleaved with 16 review and practice sessions. NECOREDA will be evaluated as an add-on intervention to methadone maintenance treatment in a randomized clinical trial among opiate dependent patients starting from August 2015. We discuss methodological features of NECOREDA development and evaluation in this article.
White-Box Traceable CP-ABE for Cloud Storage Service: How to Catch People Leaking Their Access Credentials Effectively

Ciphertext-policy attribute-based encryption (CP-ABE) has been proposed to enable fine-grained access control on encrypted data for cloud storage service. In the context of CP-ABE, since the decryption privilege is shared by multiple users who have the same attributes, it is difficult to identify the original key owner when given an exposed key. This leaves the malicious cloud users a chance to leak their access credentials to outsourced data in clouds for profits without the risk of being caught, which severely damages data security. To address this problem, we add the property of traceability to the conventional CP-ABE. To catch people leaking their access credentials to outsourced data in clouds for profits effectively, in this paper, we first propose two kinds of non-interactive commitments for traitor tracing. Then we present a fully secure traceable CP-ABE system for cloud storage service from the proposed commitment. Our proposed commitments for traitor tracing may be of independent interest, as they are both pairing-friendly and homomorphic. We also provide extensive experimental results to confirm the feasibility and efficiency of the proposed solution.
Penetration Testing on Virtual Environments

Since the beginning, computer systems have faced the challenge of protecting the information with which they work, and with the technological development, computational security techniques have become more complex to face the potentials attacks. Currently we are facing a war game with the usual two sides, attackers and defenders. The attackers want to have complete control over the systems. In is turn, defenders virtualized systems to maintain the resources safety in case of attack. The attackers have also developed increasingly sophisticated techniques to break such protections, being necessary to anticipate such events, which may be achieved through the application of preventative measures. This may be done by simulating Penetration Testing (PT). PT is an attack on a computer system, using a set of specialized tools that looks for security weaknesses, which eventually may have access to computer's features and data, allowing the discovery of such evidence vulnerability. Virtual Environments have a higher exposure to cyber-attacks. The aim of this paper is propose a framework to provide guidelines for Penetration Testing in Virtual Environments.
Managing Traumatic Brain Injury : Appropriate Assessment and a Rationale for Using Neurofeedback and Biofeedback to Enhance Recovery in Postconcussion Syndrome

SPECIAL ISSUE Managing Traumatic Brain Injury: Appropriate Assessment and a Rationale for Using Neurofeedback and Biofeedback to Enhance Recovery in Postconcussion Syndrome Michael Thompson, MD, Lynda Thompson, PhD, CPsych, BCN, Andrea Reid-Chung, MA, CCC, BCN, and James Thompson, PhD, BCN ADD Centre/Biofeedback Institute of Toronto, Mississauga, Ontario, Canada; Evoke Neuroscience, Inc., New York, NY
The efficacy of traditional Thai massage for the treatment of chronic pain: A systematic review.

Traditional Thai massage (TTM) is an alternative medicine treatment used for pain relief. The purpose of this paper is to provide a systematic review of the research about the effects of TTM on pain intensity and other important outcomes in individuals with chronic pain.



We performed a systematic review of the controlled trials of the effects of TTM, using the keywords "Traditional Thai massage" or "Thai massage" with the keyword "Chronic pain."



Six research articles met the inclusion criteria. All of the studies found a pre- to post-treatment pain reductions, varying from 25% to 80% and was also associated with improvements in disability, perceived muscle tension, flexibility and anxiety.



The TTM benefits of pain reduction appear to maintain for up to 15 weeks. Additional research is needed to identify the moderators, mediators and to determine the long-term benefits of TTM relative to control conditions.
Increased rates of convergence through learning rate adaptation

While there exist many techniques for finding the parameters that minimize an error function, only those methods that solely perform local computations are used in connectionist networks. The most popular learning algorithm for connectionist networks is the back-propagation procedure, which can be used to update the weights by the method of steepest descent. In this paper, we examine steepest descent and analyze why it can be slow to converge. We then propose four heuristics for achieving faster rates o f convergence while adhering to the locality constraint. These heuristics suggest that every weight o f a network should be given its own learning rate and that these rates should be allowed to vary over time. Additionally, the heuristics suggest how the learning rates should be adjusted. Two implementations of these heuristics, namely momentum and an algorithm called the delta-bar-delta rule, are studied and simulation results are presented.
Effect of Frame Aggregation on the Throughput Performance of IEEE 802.11n

The IEEE 802.11n standard aims at providing a data transmission rate of up to 600 Mbps. The frame aggregation techniques of IEEE 802.11n MAC layer play an important role in the enhancement of channel utilization. In this paper, we investigate the effect of IEEE 802.11n frame aggregation for two aggregation mechanisms: MAC protocol data unit aggregation (A-MPDU) and MAC service data unit aggregation (A-MSDU). We propose an analytical model based on an enhanced discrete time Markov chain (DTMC) model in order to describe the post- backoff behavior due to frame aggregation, and then evaluate the throughput performance. Analytical results based on the mathematical model are verified through simulation. The throughput performance of the A-MSDU mechanism outperforms the A-MPDU mechanism as the frame aggregation size becomes larger under an error-free environment. In addition, the throughput performance is significantly improved as the frame aggregation size increases.
Segmental pigmentation disorder: A rare form of cutaneous dyspigmentation

Segmental pigmentation disorder (SegPD) is a rare type of cutaneous dyspigmentation. This hereditary disorder, first described some 20 years ago, is characterized by hypo and hyperpigmented patches on the trunk, extremities and less likely on the face and neck. These lesions are considered as a type of checkerboard pattern.



Herein, we present a 26-year-old male who presented with hyperpigmented patches on his trunk, neck and upper extremities. Considering the clinical and histopathological findings, the diagnosis of SegPD was confirmed.



SegPD is a somewhat neglected entity which should be considered in differential diagnosis of pigmentation disorders.