nils-herrmann/clean_scirepeval huggingface dataset:
Letter Regarding.

We read carefully and with great interest the anatomic study performed by Lilyquist et al. They performed an interesting study of the tibiofibular syndesmosis using a 3-dimensional method that can be of help when performing anatomic studies. As the authors report in the study, a controversy exists regarding the anatomic structures of the syndesmosis, and a huge confusion can be observed when reading the related literature. However, anatomic confusion between the inferior transverse ligament and the intermalleolar ligament is present in the manuscript: the intermalleolar ligament is erroneously identified as the “inferior” transverse ligament. The transverse ligament is the name that receives the deep component of the posterior tibiofibular ligament. The posterior tibiofibular ligament is a ligament located in the posterior aspect of the ankle that joins the distal epiphysis of tibia and fibula; it is formed by 2 fascicles, one superficial and one deep. The deep fascicle or transverse ligament is difficult to see from a posterior ankle view, but easily from a plantar view of the tibiofibular syndesmosis . Instead, the intermalleolar ligament is a thickening of the posterior ankle joint capsule, located between the posterior talofibular ligament and the transverse ligament. It originates from the medial facet of the lateral malleolus and directs medially to tibia and talus . The intermalleolar ligament was observed in 100% of the specimens by Golanó et al in contrast with 70% in Lilyquist’s study. On the other hand, structures of the ankle syndesmosis have not been named according to the International Anatomical Terminology (IAT). In 1955, the VI Federative International Congress of Anatomy accorded to eliminate eponyms from the IAT. Because of this measure, the Chaput, Wagstaff, or Volkman tubercles used in the manuscript should be eliminated in order to avoid increasing confusion. Lilyquist et al also defined the tibiofibular syndesmosis as being formed by the anterior inferior tibiofibular ligament, the posterior inferior tibiofibular ligament, the interosseous ligament, and the inferior transverse ligament. The anterior inferior tibiofibular ligament and posterior inferior tibiofibular ligament of the tibiofibular syndesmosis (or inferior tibiofibular joint) should be referred to as the anterior tibiofibular ligament and posterior tibiofibular ligament. The reason why it is not necessary to use “inferior” in its description is that the ligaments of the superior tibiofibular joint are the anterior ligament of the fibular head and the posterior ligament of the fibular head, not the “anterior superior tibiofibular ligament” and “posterior superior tibiofibular ligament.” The ankle syndesmosis is one of the areas of the human body where chronic anatomic errors exist: the transverse ligament (deep component of the posterior tibiofibular ligament), the anterior tibiofibular ligament (“anterior 689614 FAIXXX10.1177/1071100716689614Foot & Ankle InternationalLetter to the Editor letter2017
Agent Based Modelling and Simulation tools: A review of the state-of-art software

The key intent of this work is to present a comprehensive comparative literature survey of the state-of-art in software agent-based computing technology and its incorporationwithin themodelling and simulation domain. The original contribution of this survey is two-fold: (1) Present a concise characterization of almost the entire spectrum of agent-based modelling and simulation tools, thereby highlighting the salient features, merits, and shortcomings of such multi-faceted application software; this article covers eighty five agent-based toolkits that may assist the system designers and developers with common tasks, such as constructing agent-based models and portraying the real-time simulation outputs in tabular/graphical formats and visual recordings. (2) Provide a usable reference that aids engineers, researchers, learners and academicians in readily selecting an appropriate agent-based modelling and simulation toolkit for designing and developing their system models and prototypes, cognizant of both their expertise and those requirements of their application domain. In a nutshell, a significant synthesis of Agent Based Modelling and Simulation (ABMS) resources has been performed in this review that stimulates further investigation into this topic.
Making sense of another mind: The role of the right temporo-parietal junction

Human adults conceive of one another as beings with minds, and attribute to one another mental states like perceptions, desires and beliefs. That is, we understand other people using a 'Theory of Mind'. The current study investigated the contributions of four brain regions to Theory of Mind reasoning. The right temporo-parietal junction (RTPJ) was recruited selectively for the attribution of mental states, and not for other socially relevant facts about a person, and the response of the RTPJ was modulated by the congruence or incongruence of multiple relevant facts about the target's mind. None of the other three brain regions commonly implicated in Theory of Mind reasoning--the left temporo-parietal junction (LTPJ), posterior cingulate (PC) and medial prefrontal cortex (MPFC)--showed an equally selective profile of response. The implications of these results for an alternative theory of reasoning about other minds--Simulation Theory--are discussed.
Toward Health Exercise Behavior Change for Teams Using Lifelog Sharing Models

Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their “lifelog” easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on lifelogging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of “competition” and “collaboration.” According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with a “competition” technique resulted in the most effective performance for competitive teams, such as sports teams.
Classification of massive mobile web log URLs for customer profiling & analytics

Many telecommunication companies today have actively started to transform the way they do business, going beyond communication infrastructure providers are repositioning themselves as data-driven service providers to create new revenue streams. In this paper, we present a novel industrial application where a scalable Big data approach combined with deep learning is used successfully to classify massive mobile web log data, to get new aggregated insights on customer web behaviors that could be applied to various industry verticals.
Sternohyoid muscle syndrome.

Patients presenting with neck mass are challenging for many otolaryngologists. If a mass on the lower lateral neck exists with swallowing and disappears after swallowing, it has been diagnosed as an omohyoid syndrome in most literature. The mechanism of sternohyoid syndrome has not been proven or investigated before. We investigated sternohyoid syndrome, commonly misdiagnosed as an omohyoid syndrome.



Two patients were investigated. Outpatient photography, computed tomography and operating findings were reviewed. We found that the sternohyoid muscle was inserted at an abnormal site, the midportion of the clavicle. There was no abnormality of other muscles. We also reviewed all literature that previously diagnosed this condition as an omohyoid syndrome.



There was no literature about sternohyoid syndrome. We found that the abnormal muscle is a sternohyoid muscle and not omohyoid muscle. The color of the left sternohyoid muscle was dark red, and the fascia covering the muscle was denuded. The muscle had lost elasticity and moved abnormally.



Our patients did not have omohyoid syndrome. The symptoms of omohyoid syndrome are the same as sternohyoid syndrome but the problematic muscle is different. This is the first known report diagnosing sternohyoid syndrome, and should be a consideration in the diagnosis of a lateral neck mass.
Knowledge Transfer Social Media as Social Lubricant : How Ambient Awareness Eases

Knowledge stickiness often impedes knowledge transfer. When knowledge is complex and the knowledge seeker lacks intimacy with the knowledge source, knowledge sticks in its point of origin because the knowledge seeker faces ambiguity about the best way to acquire the needed knowledge. We theorize that, given the extent of that ambiguity, knowledge seekers will make a choice to either ask for needed knowledge immediately after deciding it is needed, or wait and ask for it at a later date. We hypothesize that when knowledge is sticky, knowledge seekers will delay asking for knowledge and, in the interim period, use an enterprise social networking site to gather information that can lubricate stuck knowledge, such as how, when, and in what way to ask for the desired knowledge. We propose that by doing this, knowledge seekers can increase their ultimate satisfaction with the knowledge once they ask for it. Data describing specific instances of knowledge transfer occurring in a large telecommunications firm supported these hypotheses, showing that knowledge transfer is made easier by the fact that enterprise social networking sites make other peoples’ communications visible to casual observers such that knowledge seekers can gather information about the knowledge and its source simply by watching his or her actions through the technology, even if they never interacted with the source directly themselves. The findings show that simple awareness of others’ communications (what we call ambient awareness) played a pivotal role in helping knowledge seekers to obtain interpersonal and knowledge-related material with which to lubricate their interactions with knowledge sources. 1University of California, Santa Barbara, CA, USA 2Northwestern University, Evanston, IL, USA Corresponding Author: Paul M. Leonardi, Phelps Hall, University of California, Santa Barbara, CA, USA, 93106-5129.  Leonardi@tmp.ucsb.edu 540509 ABSXXX10.1177/0002764214540509American Behavioral ScientistLeonardi and Meyer research-article2014 at UNIV CALIFORNIA SANTA BARBARA on December 9, 2014 abs.sagepub.com Downloaded from Leonardi and Meyer 11
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images

Algorithmic image-based diagnosis and prognosis of neurodegenerative diseases on longitudinal data has drawn great interest from computer vision researchers. The current state-of-the-art models for many image classification tasks are based on the Convolutional Neural Networks (CNN). However, a key challenge in applying CNN to biological problems is that the available labeled training samples are very limited. Another issue for CNN to be applied in computer aided diagnosis applications is that to achieve better diagnosis and prognosis accuracy, one usually has to deal with the longitudinal dataset, i.e., the dataset of images scanned at different time points. Here we argue that an enhanced CNN model with transfer learning for the joint analysis of tasks from multiple time points or regions of interests may have a potential to improve the accuracy of computer aided diagnosis. To reach this goal, we innovate a CNN based deep learning multi-task dictionary learning framework to address the above challenges. Firstly, we pretrain CNN on the ImageNet dataset and transfer the knowledge from the pre-trained model to the medical imaging progression representation, generating the features for different tasks. Then, we propose a novel unsupervised learning method, termed Multi-task Stochastic Coordinate Coding (MSCC), for learning different tasks by using shared and individual dictionaries and generating the sparse features required to predict the future cognitive clinical scores. We apply our new model in a publicly available neuroimaging cohort to predict clinical measures with two different feature sets and compare them with seven other state-of-theart methods. The experimental results show our proposed method achieved superior results.
RObOTiC fiNGERSPELLiNG HAND fOR THE AiD Of THE DEAf AND bLiND

This quarter, work continued on the design and construction of a robotic fingerspelling hand. The hand is being designed to aid in communication for individuals who are both deaf and blind. In the winter quarter, research was centered on determining an effective method of actuation for the robotic hand. This spring 2008 quarter, time was spent designing the mechanisms needed to mimic the size and motions of a human hand. Several methods were used to determine a proper size for the robotic hand, including using the ManneQuinPro human modeling system to approximate the size of an average male human hand and using the golden ratio to approximate the length of bone sections within the hand. After a proper average hand size was determined, a finger mechanism was designed in the SolidWorks design program that could be built and used in the robotic hand.
90% High Efficiency and 100-W/cm$^{\bm 3}$ High Power Density Integrated DC - DC Converter for Cellular Phones

This paper describes a small-size buck-type dc–dc converter for cellular phones. Output power MOSFETs and control circuitry are monolithically integrated. The newly developed pulse frequency modulation control integrated circuit, mounted on a planar inductor within the converter package, has a low quiescent current below 10 μA and a small chip size of 1.4 mm × 1.1 mm in a 0.35-μm CMOS process. The converter achieves a maximum efficiency of 90% and a power density above 100 W/cm<formula formulatype="inline"> <tex Notation="TeX">$^3$</tex></formula>.
Comparison of two intraoral scanners based on three-dimensional surface analysis.

This in vivo study evaluated the difference of two well-known intraoral scanners used in dentistry, namely iTero (Align Technology) and TRIOS (3Shape).



Thirty-two participants underwent intraoral scans with TRIOS and iTero scanners, as well as conventional alginate impressions. The scans obtained with the two intraoral scanners were compared with each other and were also compared with the corresponding model scans by means of three-dimensional surface analysis. The average differences between the two intraoral scans on the surfaces were evaluated by color-mapping. The average differences in the three-dimensional direction between each intraoral scans and its corresponding model scan were calculated at all points on the surfaces.



The average differences between the two intraoral scanners were 0.057 mm at the maxilla and 0.069 mm at the mandible. Color histograms showed that local deviations between the two scanners occurred in the posterior area. As for difference in the three-dimensional direction, there was no statistically significant difference between two scanners.



Although there were some deviations in visible inspection, there was no statistical significance between the two intraoral scanners.
Mining correlated bursty topic patterns from coordinated text streams

Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (called coordinated text streams), which offer new opportunities for text mining. For example, when a major event happens, all the news articles published by different agencies in different languages tend to cover the same event for a certain period, exhibiting a correlated bursty topic pattern in all the news article streams. In general, mining correlated bursty topic patterns from coordinated text streams can reveal interesting latent associations or events behind these streams. In this paper, we define and study this novel text mining problem. We propose a general probabilistic algorithm which can effectively discover correlated bursty patterns and their bursty periods across text streams even if the streams have completely different vocabularies (e.g., English vs Chinese). Evaluation of the proposed method on a news data set and a literature data set shows that it can effectively discover quite meaningful topic patterns from both data sets: the patterns discovered from the news data set accurately reveal the major common events covered in the two streams of news articles (in English and Chinese, respectively), while the patterns discovered from two database publication streams match well with the major research paradigm shifts in database research. Since the proposed method is general and does not require the streams to share vocabulary, it can be applied to any coordinated text streams to discover correlated topic patterns that burst in multiple streams in the same period.
A FIVE-BAR PARALLEL ROBOT WITH LARGE WORKSPACE

Five-bar planar parallel robots for pick and place operations are always designed so that their singularity loci are significantly reduced. In these robots, the length of the prox-imal links is different from the length of the distal links. As a consequence, the workspace of the robot is significantly limited, since there are holes in it. In contrast, we propose a design in which all four links have equal lengths. Since such a design leads to more parallel singularities, a strategy for avoiding them by switching working modes is proposed. As a result, the usable workspace of the robot is significantly increased. The idea has been implemented on an industrial-grade prototype and the latter is described in detail.
Different physical treatment modalities for lymphoedema developing after axillary lymph node dissection for breast cancer: a review.

The purpose of this article is to provide a systematic review of Combined Physical Therapy, Intermittent Pneumatic Compression and arm elevation for the treatment of lymphoedema secondary to an axillary dissection for breast cancer. Combined Physical Therapy starts with an intensive phase consisting of skin care, Manual Lymphatic Drainage, exercises and bandaging and continues with a maintenance phase consisting of skin care, exercises, wearing a compression sleeve and Manual Lymphatic Drainage if needed. We have searched the following databases: PubMed/MEDLINE, CINAHL, EMBASE, PEDro and Cochrane. Only (pseudo-) randomised controlled trials and non-randomised experimental trials investigating the effectiveness of Combined Physical Therapy and its different parts, of Intermittent Pneumatic Compression and of arm elevation were included. These physical treatments had to be applied to patients with arm lymphoedema which developed after axillary dissection for breast cancer. Ten randomised controlled trials, one pseudo-randomised controlled trial and four non-randomised experimental trials were found and analysed. Combined Physical Therapy can be considered as an effective treatment modality for lymphoedema. Bandaging the arm is effective, whether its effectiveness is investigated on a heterogeneous group consisting of patients with upper and lower limb lymphoedema from different causes. There is no consensus on the effectiveness of Manual Lymphatic Drainage. The effectiveness of skin care, exercises, wearing a compression sleeve and arm elevation is not investigated by a controlled trial. Intermittent Pneumatic Compression is effective, but once the treatment is interrupted, the lymphoedema volume increases. In conclusion, Combined Physical Therapy is an effective therapy for lymphoedema. However, the effectiveness of its different components remains uncertain. Furthermore, high-quality studies are warranted. The long-term effect of Intermittent Pneumatic Compression and the effect of elevation on lymphoedema are not yet proven.
Motivation in Software Engineering: A systematic literature review

In this paper, we present a systematic literature review of motivation in Software Engineering. The objective of this review is to plot the landscape of current reported knowledge in terms of what motivates developers, what de-motivates them and how existing models address motivation.  We perform a systematic literature review of peer reviewed published studies that focus on motivation in Software Engineering. Systematic reviews are well established in medical research and are used to systematically analyse the literature addressing specific research questions.  We found 92 papers related to motivation in Software Engineering. Fifty-six percent of the studies reported that Software Engineers are distinguishable from other occupational groups. Our findings suggest that Software Engineers are likely to be motivated according to three related factors: their ‘characteristics’ (for example, their need for variety); internal ‘controls’ (for example, their personality) and external ‘moderators’ (for example, their career stage). The literature indicates that de-motivated engineers may leave the organisation or take more sick-leave, while motivated engineers will increase their productivity and remain longer in the organisation. Aspects of the job that motivate Software Engineers include problem solving, working to benefit others and technical challenge. Our key finding is that the published models of motivation in Software Engineering are disparate and do not reflect the complex needs of Software Engineers in their career stages, cultural and environmental settings.  The literature on motivation in Software Engineering presents a conflicting and partial picture of the area. It is clear that motivation is context dependent and varies from one engineer to another. The most commonly cited motivator is the job itself, yet we found very little work on what it is about that job that Software Engineers find motivating. Furthermore, surveys are often aimed at how Software Engineers feel about ‘the organisation’, rather than ‘the profession’. Although models of motivation in Software Engineering are reported in the literature, they do not account for the changing roles and environment in which Software Engineers operate. Overall, our findings indicate that there is no clear understanding of the Software Engineers’ job, what motivates Software Engineers, how they are motivated, or the outcome and benefits of motivating Software Engineers.
A virtual electrical drive control laboratory: Neuro-fuzzy control of induction motors

Neural and fuzzy courses are widely offered at graduate and undergraduate level due to the successful applications of neural and fuzzy control to nonlinear and unmodeled dynamic systems, including electrical drives. However, teaching students a neurofuzzy controlled electrical drive in a laboratory environment is often difficult for schools with limited access to expensive equipment facilities. Therefore, computer simulations and dedicated software are needed to assist the students in visualizing the concepts and to provide graphical feedback during the learning process. In this article, an educational software is proposed for the neuro-fuzzy control of induction machine drives. The tool helps students learn the application of neuro-fuzzy control of electrical drives. The software has a flexible structure and graphical user interface. The neuro-fuzzy architecture, the motor and load parameters can be easily changed in the developed software. Neuro-fuzzy control performance of induction motors can be monitored graphically for various control structures and current controllers. 2006 Wiley Periodicals, Inc. Comput Appl Eng Educ 14: 211 221, 2006; ; DOI 10.1002/cae.20082