nils-herrmann/clean_scirepeval huggingface dataset:
Design, analysis and realization of SVPWM using embedded code generation technique for a three phase, two level inverter

In a last few decades, development in power electronics systems has created its necessity in industrial and domestic applications like electric drives, UPS, solar and wind power conversion and many more. This paper presents the design, simulation, analysis and fabrication of a three phase, two-level inverter. The Space Vector Pulse Width Modulation (SVPWM) technique is used for the generation of gating signals for the three phase inverter. The proposed work is about real time embedded code generation technique that can be implemented using any microprocessor or microcontroller board of choice. The proposed technique reduces the analogue circuitry and eliminates the need of coding for generation of pulses, thereby making it simple and easy to implement. Control structure of SVPWM is simulated in MATLAB Simulink environment for analysis of different parameters of inverter. Comparative analysis of simulation results and hardware results is presented which shows that embedded code generation technique is very reliable and accurate.
Lateralizing the collapsed nasal valves simplified: 10-year survey of a simple concealed suture technique.

A number of innovative surgical procedures have been devised to correct nasal obstruction resulting from the combined deformities of the internal and external nasal valves. Although successful, they can be complex and manipulative, requiring experience and expertise. We submit an alternative surgical procedure for the repair of isolated internal nasal valve collapse that is simple to execute in the office under local infiltration anesthesia and within the grasp of any otolaryngologist interested in its repair. The long-term success and durability of the procedure have been tested and confirmed by a 10-year survey of its effectiveness.



Retrospective review.



Fifty-two (89.9%) of 58 respondents who underwent surgical repair for nasal valve collapse between 1999 and 2009 reported complete satisfaction with the improvement in their nasal airway that remained effective over time. Failures (10.1%) resulted from sutures coming loose from a variety of reasons that could be remedied quite easily.



The simplified concealed suture lateralization of the collapsed internal nasal valve is highly successful and remains effective over many years with minimal complications and without any alteration in the nasal profile.
H1-Histamine Receptor Affinity Predicts Short-Term Weight Gain for Typical and Atypical Antipsychotic Drugs

As a result of superior efficacy and overall tolerability, atypical antipsychotic drugs have become the treatment of choice for schizophrenia and related disorders, despite their side effects. Weight gain is a common and potentially serious complication of some antipsychotic drug therapy, and may be accompanied by hyperlipidemia, hypertension and hyperglycemia and, in some extreme cases, diabetic ketoacidosis. The molecular mechanism(s) responsible for antipsychotic drug-induced weight gain are unknown, but have been hypothesized to be because of interactions of antipsychotic drugs with several neurotransmitter receptors, including 5-HT2A and 5-HT2C serotonin receptors, H1-histamine receptors, α1- and α2-adrenergic receptors, and m3-muscarinic receptors. To determine the receptor(s) likely to be responsible for antipsychotic-drug-induced weight gain, we screened 17 typical and atypical antipsychotic drugs for binding to 12 neurotransmitter receptors. H1-histamine receptor affinities for this group of typical and atypical antipsychotic drugs were significantly correlated with weight gain (Spearman ρ=−0.72; p<0.01), as were affinities for α1A adrenergic (ρ=−0.54; p<0.05), 5-HT2C (ρ=−0.49; p<0.05) and 5-HT6 receptors (ρ=−0.54; p<0.05), whereas eight other receptors' affinities were not. A principal components analysis showed that affinities at the H1, α2A, α2B, 5-HT2A, 5-HT2C, and 5-HT6 receptors were most highly correlated with the first principal component, and affinities for the D2, 5-HT1A, and 5-HT7 receptors were most highly correlated with the second principal component. A discriminant functions analysis showed that affinities for the H1 and α1A receptors were most highly correlated with the discriminant function axis. The discriminant function analysis, as well as the affinity for the H1-histamine receptor alone, correctly classified 15 of the 17 drugs into two groups; those that induce weight gain and those that do not. Because centrally acting H1-histamine receptor antagonists are known to induce weight gain with chronic use, and because H1-histamine receptor affinities are positively correlated with weight gain among typical and atypical antipsychotic drugs, it is recommended that the next generation of atypical antipsychotic drugs be screened to avoid H1-histamine receptors.
Effects of Novel Skewed Rotor in Squirrel-Cage Induction Motor on Electromagnetic Force

Axial endplay problems often occur in electrical machines even in the conventional skew motor. In order to solve these problems, an improved skew rotor is proposed to weaken the ill-effect of the conventional skew motor by skewing the slots toward reverse directions. The space distributions of magnetic flux field and the Maxwell stress tensor on the rotor surfaces are analyzed by an analytical method. The time-step finite-element 3-D whole model of a novel skew squirrel-cage induction motor is presented for verification. The results indicate that the radial and the axial forces decrease, but the rotary torque remains unchanged. The validity of the improved method is verified by means of the comparison with the conventional one.
The longevity of amalgam versus compomer/composite restorations in posterior primary and permanent teeth: findings From the New England Children's Amalgam Trial.

Limited information is available from randomized clinical trials comparing the longevity of amalgam and resin-based compomer/composite restorations. The authors compared replacement rates of these types of restorations in posterior teeth during the five-year follow-up of the New England Children's Amalgam Trial.



The authors randomized children aged 6 to 10 years who had two or more posterior occlusal carious lesions into groups that received amalgam (n=267) or compomer (primary teeth)/composite (permanent teeth) (n=267) restorations and followed them up semiannually. They compared the longevity of restorations placed on all posterior surfaces using random effects survival analysis.



The average+/-standard deviation follow-up was 2.8+/-1.4 years for primary tooth restorations and 3.4+/-1.9 years for permanent tooth restorations. In primary teeth, the replacement rate was 5.8 percent of compomers versus 4.0 percent of amalgams (P=.10), with 3.0 percent versus 0.5 percent (P=.002), respectively, due to recurrent caries. In permanent teeth, the replacement rate was 14.9 percent of composites versus 10.8 percent of amalgams (P=.45), and the repair rate was 2.8 percent of composites versus 0.4 percent of amalgams (P=.02).



Although the overall difference in longevity was not statistically significant, compomer was replaced significantly more frequently owing to recurrent caries, and composite restorations required seven times as many repairs as did amalgam restorations.



Compomer/composite restorations on posterior tooth surfaces in children may require replacement or repair at higher rates than amalgam restorations, even within five years of placement.
Burnout Evaluation of Radiation Residents Nationwide: Results of a Survey of United States Residents.

To assess rates of burnout among US radiation oncology residents and evaluate program/resident factors associated with burnout.



A nationwide survey was distributed to residents in all US radiation oncology programs. The survey included the Maslach Burnout Index-Human Services Survey (MBI-HSS) as well as demographic and program-specific questions tailored to radiation oncology residents. Primary endpoints included rates of emotional exhaustion, depersonalization, and personal accomplishment from MBI-HSS subscale scores. Binomial logistic models determined associations between various residency/resident characteristics and high burnout levels.



Overall, 232 of 733 residents (31.2%) responded, with 205 of 733 (27.9%) completing the MBI-HSS. High levels of emotional exhaustion and depersonalization were reported in 28.3% and 17.1%, respectively; 33.1% experienced a high burnout level on at least 1 of these 2 MBI-HSS subscales. Low rates of personal accomplishment occurred in 12% of residents. Twelve residents (5.9%) reported feeling "at the end of my rope" on a weekly basis or more. On multivariable analysis there was a statistically significant inverse association between perceived adequacy of work-life balance (odds ratio 0.37; 95% confidence interval 0.17-0.83) and burnout.



Approximately one-third of radiation oncology residents have high levels of burnout symptoms, consistent with previous oncology literature, but lower levels than those among physicians and residents of other specialties. Particularly concerning was that more than 1 in 20 felt "at the end of my rope" on a weekly basis or more. Targeted interventions to identify symptoms of burnout among radiation oncology residents may help to prevent the negative downstream consequences of this syndrome.
Analyzing Stock Market Movements Using News, Tweets, Stock Prices and Transactions Volume Data for APPLE (AAPL), GOOGLE (GOOG) and SONY (SNE)

Today's financial markets are of complex behavior which is the result of decisions made by many traders. Goal of this research is to calculate the relationship between financial markets stock prices, volumes, counts in financial news and tweets.
 Method: Collect the data sets for the three companies - Apple, Google and Sony
 1. Collect tweets using Twitter API written in Python and extract tweet counts only related to stocks for the above companies.
 2. Collect News data counts using News API, written in Python, only related to stocks for the above companies.
 3. Collect stocks data including Volume, Close Price, etc. for the above companies.
  We find a positive correlation between the daily number of mentions of the above companies in the Tweets, News, daily stocks close prices and daily transactions volume of a company's stock after the tweets and news are released. Our results provide measurable support for the suggestion that activities in financial markets, news and tweets are fundamentally interlinked.
Robot-Aided Neurorehabilitation: A Robot for Wrist Rehabilitation

In 1991, a novel robot, MIT-MANUS, was introduced to study the potential that robots might assist in and quantify the neuro-rehabilitation of motor function. MIT-MANUS proved an excellent tool for shoulder and elbow rehabilitation in stroke patients, showing in clinical trials a reduction of impairment in movements confined to the exercised joints. This successful proof of principle as to additional targeted and intensive movement treatment prompted a test of robot training examining other limb segments. This paper focuses on a robot for wrist rehabilitation designed to provide three rotational degrees-of-freedom. The first clinical trial of the device will enroll 200 stroke survivors. Ultimately 160 stroke survivors will train with both the proximal shoulder and elbow MIT-MANUS robot, as well as with the novel distal wrist robot, in addition to 40 stroke survivor controls. So far 52 stroke patients have completed the robot training (ongoing protocol). Here, we report on the initial results on 36 of these volunteers. These results demonstrate that further improvement should be expected by adding additional training to other limb segments.
Multi-Core Program Optimization: Parallel Sorting Algorithms in Intel Cilk Plus

New performance leaps has been achieved with multiprogramming and multi-core systems. Present parallel programming techniques and environment needs significant changes in programs to accomplish parallelism and also constitute complex, confusing and error-prone constructs and rules. Intel Cilk Plus is a C based computing system that presents a straight forward and well-structured model for the development, verification and analysis of multicore and parallel programming. In this article, two programs are developed using Intel Cilk Plus. Two sequential sorting programs in C/C++ language are converted to multi-core programs in Intel Cilk Plus framework to achieve parallelism and better performance. Converted program in Cilk Plus is then checked for various conditions using tools of Cilk and after that, comparison of performance and speedup achieved over the single-core sequential program is discussed and reported.
Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language

Many psychological phenomena occur in small time windows, measured in minutes or hours. However, most computational linguistic techniques look at data on the order of weeks, months, or years. We explore micropatterns in sequences of messages occurring over a short time window for their prevalence and power for quantifying psychological phenomena, specifically, patterns in affect. We examine affective micropatterns in social media posts from users with anxiety, eating disorders, panic attacks, schizophrenia, suicidality, and matched controls.
Amussat's sign in hanging--A prospective autopsy study.

Amussat's sign is typically a transverse laceration of the intimal layer of carotid arteries described in cases of hanging. Subtotal laceration of the carotid artery is not strictly specific for hanging and can be also caused by blunt neck trauma, extreme overstretching, or whiplash-injuries. In a prospective autopsy study of 178 cases of hanging, Amussat's sign was found in 29 cases (a relative frequency of 16.1%). A statistically significant association between the occurrence of tears in the intimal layer of carotid arteries and the victims' age was discovered in the cases studied (the frequency increased with age; p<0.05). The occurrence of Amussat's sign was independent of gender, weight, completeness of the victim's body suspension, and position of the ligature knot on the neck. The study demonstrates the fact that the most probable cause of Amussat's sign is a combination of direct compression of the artery by the rope and indirect stretching because of the gravitational drag produced by the weight of the body.
CSR Reporting Practices of Polish Energy and Mining Companies

Corporate Social Responsibility (CSR) reporting receives much attention nowadays. Communication with stakeholders is a part of assumed social responsibility, thus the quality of information disclosed in CSR reports has a significant impact on fulfilment of the responsibility. The authors use content analysis of selected CSR reports to describe and assess patterns and structure of information disclosed in them. CSR reports of Polish companies have similar structures at a very high level of analysis, but a more detailed study reveals much diversity in approaches to the report’s content. Even fairly similar companies may devote significantly different amounts of space to the same issue. The number of similar stakeholders varies irrespectively of the company’s size. Considerable diversity of reporting patterns results from the nature of CSR reporting, because it concerns highly entity-specific issues. Thus, such considerable diversity is not surprising. However, many initiatives and efforts are devoted to greater comparability of reporting, so a greater degree of uniformity can be expected. Similar conclusions may be drawn from integrated reports’ analysis, though a small sample reflects the relative novelty of this trend.
Experiments in map generation using Markov chains

In this paper we describe a method of procedurally generating maps using Markov chains. This method learns statistical patterns from human-authored maps, which are assumed to be of high quality. Our method then uses those learned patterns to generate new maps. We present a collection of strategies both for training the Markov chains, and for generating maps from such Markov chains. We then validate our approach using the game Super Mario Bros., by evaluating the quality of the produced maps based on different configurations for training and generation.
Automotive radar sensor for ultra short range applications

A small form factor, 79 GHz, MIMO radar sensor with 2D angle of arrival estimation capabilities was designed for automotive applications. It offers a 0.05 m distance resolution required to make small minimum distance measurements. The radar dimensions are 42×44×20 mm3 enabling installation in novel side locations. This aspect, combined with a wide field of view, creates a coverage that compliments the near range coverage gaps of existing long and medium range radars. Therefore, this radar supports novel radar applications such as parking aid and can be used to create a 360 degrees safety cocoon around the car.
Identification of multi-sentence question type and extraction of descriptive answer in open domain question-answering

The state-of-art question-answering systems provide the answer to the user by directly extracting the exact answer from a huge amount of documents in large databases or Web pages. On the other hand, many online question-answering services, such as automatic answering services in call centers, Q&A web sites in the Internet, are in operation by restricting the domain of questions, and by utilizing manpower to provide the answers. Characteristics of queries handled in these two kinds of systems are different in terms of their length of queries and the type of questions in the queries. The queries of advanced question-answering are usually represented as a single sentence mainly consisting of a factoid question item. Factoid question can be usually answered by a noun phrase, such as a person name, an organization name, a location name, and so on. In contrast, the queries in a practical question-answering service often consist of multiple sentences comprising multiple non-factoid question items that ask a definition, a procedure, an opinion, and so forth. In numerous cases, they require descriptive answers. Despite long history of studies in question-answering, advanced question-answering has not sufficiently supported non-factoid multi-sentence question yet. This thesis aims to develop an open domain question-answering system that can address multi-sentence queries requiring descriptive answers. ∗Doctoral Dissertation, Department of Information Processing, Graduate School of Information Science, Nara Institute of Science and Technology, NAIST-IS-DD0061208, March 19, 2007.
Dependency Networks for Collaborative Filtering and Data Visualization

We describe a graphical representation of probabilistic relationships-an alternative to the Bayesian network-called a dependency network. Like a Bayesian network, a dependency network has a graph and a probability component. The graph component is a (cyclic) directed graph such that a node's parents render that node independent of all other nodes in the network. The probability component consists of the probability of a node given its parents for each node (as in a Bayesian network). We identify several basic properties of this representation, and describe its use in collaborative filtering (the task of predicting preferences) and the visualization of predictive relationships.
Stories from Games : Content and Focalization Selection in Narrative Composition

Game logs could be exploited as a source for reflection on user performance, with a view to improvement or simply the additional entertainment of reminescing. Yet in their raw form they are difficult to interpret, and sometimes only specific parts of the game are worth reviewing. The ability to produce textual narratives that rework these logs (or the interesting parts of them) as stories could open up this wealth of data for further use. This paper presents a model of the task of narrative composition as a set of operations that need to be carried out to obtain a linear sequence of event descriptions from a set of events that inspire the narration. As an indicative case study, an initial implementation of the model is applied to a chess game understood as a formalised set of events susceptible of story-like interpretations. Operating on simple representations of a chess game in algebraic notation, exploratory solutions for the tasks of content selection are explored based on a fitness function that aims to reflect some of the qualities that humans may value on a discourse representation of a story.
The ectonucleotidases CD39 and CD73: Novel checkpoint inhibitor targets.

Cancers are able to grow by subverting immune suppressive pathways, to prevent the malignant cells as being recognized as dangerous or foreign. This mechanism prevents the cancer from being eliminated by the immune system and allows disease to progress from a very early stage to a lethal state. Immunotherapies are newly developing interventions that modify the patient's immune system to fight cancer, by either directly stimulating rejection-type processes or blocking suppressive pathways. Extracellular adenosine generated by the ectonucleotidases CD39 and CD73 is a newly recognized "immune checkpoint mediator" that interferes with anti-tumor immune responses. In this review, we focus on CD39 and CD73 ectoenzymes and encompass aspects of the biochemistry of these molecules as well as detailing the distribution and function on immune cells. Effects of CD39 and CD73 inhibition in preclinical and clinical studies are discussed. Finally, we provide insights into potential clinical application of adenosinergic and other purinergic-targeting therapies and forecast how these might develop in combination with other anti-cancer modalities.
Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech

This work studies automatic recognition of paralinguistic properties of speech. The focus is on selection of the most useful acoustic features for three classification tasks: 1) recognition of autism spectrum developmental disorders from child speech, 2) classification of speech into different affective categories, and 3) recognizing the level of social conflict from speech. The feature selection is performed using a new variant of random subset sampling methods with k-nearest neighbors (kNN) as a classifier. The experiments show that the proposed system is able to learn a set of important features for each recognition task, clearly exceeding the performance of the same classifier using the original full feature set. However, some effects of overfitting the feature sets to finite data are also observed and discussed.
Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic

Unconventional machining processes (communally named advanced or modern machining processes) are widely used by manufacturing industries. These advanced machining processes allow producing complex profiles and high quality-products. However, several process parameters should be optimized to achieve this end. In this paper, the optimization of process parameters of two conventional and four advanced machining processes is investigated: drilling process, grinding process, abrasive jet machining (AJM), abrasive water jet machining (AWJM), ultrasonic machining (USM), and water jet machining (WJM), respectively. This research employed two bio-inspired algorithms called the cuckoo optimization algorithm (COA) and the hoopoe heuristic (HH) to optimize the machining control parameters of these processes. The obtained results are compared with other optimization algorithms described and applied in the literature.