nils-herrmann/clean_scirepeval huggingface dataset:
2.5D chip TSV open failure analysis by high resolution time-domain reflectometry

2.5D chips with TSV and interposer are becoming the most popular packaging method with great increased flexibility and integrated functionality. However, great challenges have been posed in the failure analysis process to precisely locate the failure point of each interconnection in ultra-small size. The electro-optic sampling (EOS) based pulsed Time-domain reflectometry (TDR) is a powerful tool for the 2.5D/3D package diagnostics with greatly increased I/O speed and density. The timing of peaks in the reflected waveform accurately reveals the faulty location. In this work, 2.5D chip with known open failure location has been analyzed by a EOS based TDR system.
Penile anthropometry in Brazilian children and adolescents.

Classically, the penis has two functions: to make internal fertilization possible and to direct the urine stream. However, objective abnormalities in penis size can lead to diseases being diagnosed. Furthermore, many medical consultations are the result of patients seeking parameters for normal penis size. Additionally, the penile anthropometry of Brazilian children and adolescents has not yet been properly studied. The objective of this study is to carry out penile anthropometry of Brazilian children and adolescents, establishing references for clinical use.



A cross-sectional study was carried out of 2,010 patients with ages varying from 0 to 18 years. Five penile measurements were taken: diameter of penile shaft; apparent and real length of flaccid penis; apparent and real (RSL(max)) length of flaccid penis fully stretched. Pubertal development was defined according to Tanner's criteria.



Only RSLmax, out of all of the penile measurements, did not exhibit significant interobserver variation at all ages analyzed (p = 0.255). Results were tabulated with mean RSLmax and the values that define micropenis (mean - 2.5 standard deviations) by age and by Tanner sexual maturity stages. A graph was plotted of the distribution of RSLmax results by the 10th, 25th, 50th, 75th and 90th percentiles and by age.



Out of all of the penile anthropometric measurements, only RSL(max) is clinically useful. We recommend our results as a reference standard for penile anthropometry of Brazilian children and adolescents.
Best Practices for Dust Control in Metal / Nonmetal Mining

Disclaimer Mention of any company or product does not constitute endorsement by the National Institute for Occupational Safety and Health (NIOSH). In addition, citations to Web sites external to NIOSH do not constitute NIOSH endorsement of the sponsoring organizations or their programs or products. Furthermore, NIOSH is not responsible for the content of these Web sites. All Web addresses referenced in this document were accessible as of the publication date. To receive documents or other information about occupational safety and health topics, contact NIOSH at ACPH air changes per hour ACGIH American Conference of Governmental Industrial Hygienists CT computed tomography HEPA high efficiency particulate air HVAC heating, ventilation, and air conditioning IARC International Agency for Research on Cancer LEV local exhaust ventilation LHD load-haul-dump MSHA Mine Safety and Health Administration NIOSH National Institute for Occupational Safety and Health OASIS overhead air supply island system PDM personal dust monitor pDR personal DataRAM PEL permissible exposure limit PMF progressive massive fibrosis PPE personal protective equipment PVC poly vinyl chloride TEOM tapered-element oscillating microbalance TMVS total mill ventilation system XRD X-ray diffraction UNIT OF MEASURE ABBREVIATIONS USED IN THIS REPORT cfm cubic foot per minute fpm foot per minute gpm gallon per minute in w.g. inches water gauge lpm liter per minute mg/m 3 milligram per cubic meter mm millimeter mph miles per hour µg/m 3 microgram per cubic meter psi pound-force per square inch INTRODUCTION Respirable silica dust exposure has long been known to be a serious health threat to workers in many industries. Overexposure to respirable silica dust can lead to the development of silicosis— a lung disease that can be disabling and fatal in its most severe form. Once contracted, there is no cure for silicosis so the goal must be to prevent development by limiting a worker's exposure to respirable silica dust. In addition, the International Agency for Research on Cancer (IARC) has concluded that there is sufficient evidence to classify silica as a human carcinogen.
Perioperative music and its effects on anxiety, hemodynamics, and pain in women undergoing mastectomy.

There is increasing interest in evaluating the use of nonpharmacologic interventions such as music to minimize potential adverse effects of anxiety-reducing medications. This study used a quasi-experimental design to evaluate the effects of a perioperative music intervention (provided continuously throughout the preoperative, intraoperative, and postoperative periods) on changes in mean arterial pressure (MAP), heart rate, anxiety, and pain in women with a diagnosis of breast cancer undergoing mastectomy. A total of 30 women were assigned randomly to a control group or to the music intervention group. Findings indicated that women in the intervention group had a greater decrease in MAP and anxiety with less pain from the preoperative period to the time of discharge from the recovery room compared with women in the control group. Music is a noninvasive and low-cost intervention that can be easily implemented in the perioperative setting, and these findings suggest that perioperative music can reduce MAP, anxiety, and pain among women undergoing mastectomy for breast cancer.
Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small molecules

In silico predictive models have proved to be valuable for the optimisation of compound potency, selectivity and safety profiles in the drug discovery process.



camb is an R package that provides an environment for the rapid generation of quantitative Structure-Property and Structure-Activity models for small molecules (including QSAR, QSPR, QSAM, PCM) and is aimed at both advanced and beginner R users. camb's capabilities include the standardisation of chemical structure representation, computation of 905 one-dimensional and 14 fingerprint type descriptors for small molecules, 8 types of amino acid descriptors, 13 whole protein sequence descriptors, filtering methods for feature selection, generation of predictive models (using an interface to the R package caret), as well as techniques to create model ensembles using techniques from the R package caretEnsemble). Results can be visualised through high-quality, customisable plots (R package ggplot2).



Overall, camb constitutes an open-source framework to perform the following steps: (1) compound standardisation, (2) molecular and protein descriptor calculation, (3) descriptor pre-processing and model training, visualisation and validation, and (4) bioactivity/property prediction for new molecules. camb aims to speed model generation, in order to provide reproducibility and tests of robustness. QSPR and proteochemometric case studies are included which demonstrate camb's application.Graphical abstractFrom compounds and data to models: a complete model building workflow in one package.
Tibial stress injuries. An aetiological review for the purposes of guiding management.

In the last 30 years, few advances have been made in the management of tibial stress injuries such as tibial stress fracture and medial tibial stress syndrome (MTSS). Tibial overuse injuries are a recognised complication of the chronic, intensive, weight-bearing training commonly practised by athletic and military populations. Generally, the most effective treatment is considered to be rest, often for prolonged periods. This is a course of action that will significantly disrupt an active lifestyle, and sometimes end activity-related careers entirely. There is now considerable knowledge of the nature of tibial stress injuries, such that presently accepted management practices can be critically evaluated and supplemented. Most recent investigations suggest that tibial stress injuries are a consequence of the repetitive tibial strain imposed by loading during chronic weight-bearing activity. Evidence is presented in this article for an association between repeated tibial bending and stress injury as a function of: (i) strain-related modelling (in the case of MTSS), and (ii) a strain-related positive feedback mechanism of remodelling (in the case of stress fracture). Factors that influence the bending response of the tibia to loading are reviewed. Finally, a guide for injury prevention and management based on research observations is presented.
Rheumatoid arthritis: Disease or syndrome?

Rheumatoid arthritis (RA) has been described in the medical literature for over two hundred years, but its etiology remains unknown. RA displays phenotypic heterogeneity, and it is a relatively prevalent clinical entity: it affects approximately 1% of the population, resulting in enormous pathologic sequelae. Earlier studies targeting the cause(s) of RA suggested potential infectious involvement, whereas more recent reports have focused on a genetic origin of the disease. However, neither infection nor genetics, nor any other single factor is currently accepted as causative of RA. In this article we review studies relating to the etiology of RA, and those of several related matters, and we conclude that the literature indeed does provide insight into the causes underlying the initiation of RA pathogenesis. Briefly, given the remarkable phenotypic variation of RA, especially in its early stages, as well as a number of other characteristics of the condition, we contend that RA is not a discrete clinical entity with a single etiological source. Rather, we argue that it represents a common clinical endpoint for various starting points, each of which is largely guided by as yet poorly understood aspects of the genetic background of the affected individual. Adoption of this alternative view of the origin of RA will have significant consequences for future research and for development of new therapeutic interventions for this burdensome condition.
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks

Forum threads are lengthy and rich in content. Concise thread summaries will benefit both newcomers seeking information and those who participate in the discussion. Few studies, however, have examined the task of forum thread summarization. In this work we make the first attempt to adapt the hierarchical attention networks for thread summarization. The model draws on the recent development of neural attention mechanisms to build sentence and thread representations and use them for summarization. Our results indicate that the proposed approach can outperform a range of competitive baselines. Further, a redundancy removal step is crucial for achieving outstanding results.
Self-Precharging Flip-Flop ( SPFF ) : A New Level Converting Flip-Flop

Clustered voltage scaling scheme is an effective method of power consumption reduction without performance degradation. One of the main issues in this scheme is performance and power penalties due to insertion of level converting flip-flops at the interface from low-supply to high supply clusters to simultaneously perform latching and level converting functions. A new level converting flip-flop, called SelfPrecharging Flip-Flop (SPFF), is proposed that outperforms conventional level converting flip-flops in terms of performance and power-delay product. It is a pulsed flip-flop that employs conditional capturing and self-precharging techniques to efficiently perform latching and level converting functions. Based on simulation results in a 0.25 m CMOS technology, the proposed flip-flop exhibits up to 60% delay reduction and 35% improvement in power delay product as compared to conventional level converting flip-flops.
ContextUML: a UML-based modeling language for model-driven development of context-aware Web services

Context-aware Web services are emerging as a promising technology for the electronic businesses in mobile and pervasive environments. Unfortunately, complex context-aware services are still hard to build. In this paper, we present a modeling language for the model-driven development of context-aware Web services based on the Unified Modeling Language (UML). Specifically, we show how UML can be used to specify information related to the design of context-aware services. We present the abstract syntax and notation of the language and illustrate its usage using an example service. Our language offers significant design flexibility that considerably simplifies the development of context-aware Web services.
Oral magnesium supplementation decreases alanine aminotransferase levels in obese women.

To evaluate the effect of oral supplementation with magnesium chloride on the systemic and hepatic inflammation, 38 non-hypertensive obese women aged 30 to 65 years were allocated into groups with and without hypomagnesemia. Hypomagnesemic women drank 50 mL of 5% solution of MgCl2 equivalent to 450 mg of elemental magnesium. Low-carbohydrate diets and physical activity were indicated for women in both groups. Chronic diarrhea, alcohol intake, use of diuretics, previous oral magnesium supplementation, hepatic disease, and renal damage were exclusion criteria. Hypomagnesemia is defined by serum magnesium concentrations<or=1.8 mg/dL, hepatic inflammation by serum alanine aminotransferase (ALT) levels>or=40 U/L, and systemic inflammation by serum high-sensitivity C reactive protein (hs-CRP) concentration>or=3 mg/L. At baseline (p=0.06) and final of follow-up (p=0.80), there were no significant differences by body mass index between the groups in the study. In the same way, at baseline ALT (48.1+/-25.5 and 34.6+/-24.1 U/L, p=0.14) and hs-CRP (9.4+/-6.0 and 7.9+/-5.9 mg/dL, p=0.47) levels were similar in the supplemented and non-supplemented women. In the magnesium group, ALT (24.3+/-10.3 and 34.8+/-13.6 U/L, p=0.02) levels, but not hs-CRP (5.2+/-1.9 and 8.0+/-5.6 mg/L, p=0.08) reached significantly lower levels, in the fourth month of treatment, than in women in the control group. The adjusted odds ratios between the improvement in serum magnesium and reduction in ALT and hs-CRP levels were 0.56 (95% CI: 0.3-0.9) and 0.93 (95% CI: 0.6-29.9), respectively. Results of this study show that in hypomagnesemic obese women, oral supplementation with magnesium chloride reduces plasma ALT levels; hs-CRP levels only show a reduction trend.
Component-Based Cartoon Face Generation

In this paper, we present a cartoon face generation method that stands on a component-based facial feature extraction approach. Given a frontal face image as an input, our proposed system has the following stages. First, face features are extracted using an extended Active Shape Model. Outlines of the components are locally modified using edge detection, template matching and Hermit interpolation. This modification enhances the diversity of output and accuracy of the component matching required for cartoon generation. Second, to bring cartoon-specific features such as shadows, highlights and, especially, stylish drawing, an array of various face photographs and corresponding hand-drawn cartoon faces are collected. These cartoon templates are automatically decomposed into cartoon components using our proposed method for parameterizing cartoon samples, which is fast and simple. Then, using shape matching methods, the appropriate cartoon component is selected and deformed to fit the input face. Finally, a cartoon face is rendered in a vector format using the rendering rules of the selected template. Experimental results demonstrate effectiveness of our approach in generating life-like cartoon faces.
NOVEL ULTRA-WIDEBAND DISCONE ANTENNA

A double-discone antenna for an ultra-wideband frequency scan is presented. An exquisite assembly of two inverse-feeding discone antennas shows a 30:1 broad bandwidth with VSWR below 2.5 and an omnidirectional radiation pattern. These features make the proposed antenna very suitable for both the UWB system antenna and the wideband scan antenna.  2004; . DOI 10.1002/mop.20224
Anomaly detection in GPS data based on visual analytics

Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing high-level intelligence and domain-specific expertise. We combine the power of the two for anomaly detection in GPS data by integrating them through a visualization and human-computer interaction interface. In this paper we introduce GPSvas (GPS Visual Analytics System), a system that detects anomalies in GPS data using the approach of visual analytics: a conditional random field (CRF) model is used as the machine learning component for anomaly detection in streaming GPS traces. A visualization component and an interactive user interface are built to visualize the data stream, display significant analysis results (i.e., anomalies or uncertain predications) and hidden information extracted by the anomaly detection model, which enable human experts to observe the real-time data behavior and gain insights into the data flow. Human experts further provide guidance to the machine learning model through the interaction tools; the learning model is then incrementally improved through an active learning procedure.
ReBNet: Residual Binarized Neural Network

This paper proposes ReBNet, an end-to-end framework for training reconfigurable binary neural networks on software and developing efficient accelerators for execution on FPGA. Binary neural networks offer an intriguing opportunity for deploying large-scale deep learning models on resource-constrained devices. Binarization reduces the memory footprint and replaces the power-hungry matrix-multiplication with light-weight XnorPopcount operations. However, binary networks suffer from a degraded accuracy compared to their fixed-point counterparts. We show that the state-of-the-art methods for optimizing binary networks accuracy, significantly increase the implementation cost and complexity. To compensate for the degraded accuracy while adhering to the simplicity of binary networks, we devise the first reconfigurable scheme that can adjust the classification accuracy based on the application. Our proposition improves the classification accuracy by representing features with multiple levels of residual binarization. Unlike previous methods, our approach does not exacerbate the area cost of the hardware accelerator. Instead, it provides a tradeoff between throughput and accuracy while the area overhead of multi-level binarization is negligible.
Towards a theory of user judgment of aesthetics and user interface quality

The article introduces a framework for users' design quality judgments based on Adaptive Decision Making theory. The framework describes judgment on quality attributes (usability, content/functionality, aesthetics, customisation and engagement) with dependencies on decision making arising from the user's background, task and context. The framework is tested and refined by three experimental studies. The first two assessed judgment of quality attributes of websites with similar content but radically different designs for aesthetics and engagement. Halo effects were demonstrated whereby attribution of good quality on one attribute positively influenced judgment on another, even in the face of objective evidence to the contrary (e.g., usability errors). Users' judgment was also shown to be susceptible to framing effects of the task and their background. These appear to change the importance order of the quality attributes; hence, quality assessment of a design appears to be very context dependent. The third study assessed the influence of customisation by experiments on mobile services applications, and demonstrated that evaluation of customisation depends on the users' needs and motivation. The results are discussed in the context of the literature on aesthetic judgment, user experience and trade-offs between usability and hedonic/ludic design qualities.
Foreign language knowledge can influence native language performance in exclusively native contexts.

In three experiments, we studied the influence of foreign language knowledge on native language performance in an exclusively native language context. Trilinguals with Dutch as their native and dominant language (L1), English as their second language (L2), and French as their third language (L3) performed a word association task (Experiment 1) or a lexical decision task (Experiments 2 and 3) in L1. The L1 stimulus words were cognates with their translations in English, cognates with their translations in French, or were noncognates. In Experiments 1 and 2 with trilinguals who were highly proficient in English and relatively low in proficiency in French, we observed shorter word association and lexical decision times to the L1 words that were cognates with English than to the noncognates. In these relatively low-proficiency French speakers, response times (RTs) for the L1 words that were cognates with French did not differ from those for the noncognates. In Experiment 3, we tested Dutch-English-French trilinguals with a higher level of fluency in French (i.e., equally fluent in English and in French). We now observed faster responses on the L1 words that were cognates with French than on the noncognates. Lexical decision times to the cognates with English were also shorter than those to then oncognates. The results indicate that words presented in the dominant language, to naive participants, activate information in the nontarget, and weaker, language in parallel, implying that the multilinguals' processing system is profoundly nonselective with respect to language. A minimal level of nontarget language fluency seems to be required, however, before any weaker language effects become noticeable in L1 processing.
Depth Silhouettes Context: A New Robust Feature for Human Tracking and Activity Recognition based on Advanced Hidden Markov Model

In this paper, a depth camera-based novel approach for human activity recognition is presented using robust depth silhouettes context features and advanced Hidden Markov Models (HMMs). During HAR framework, at first, depth maps are processed to identify human silhouettes from noisy background by considering frame differentiation constraints of human body motion and compute depth silhouette area for each activity to track human movements in a scene. From the depth silhouettes context features, temporal frames information are computed for intensity differentiation measurements, depth history features are used to store gradient orientation change in overall activity sequence and motion difference features are extracted for regional motion identification. Then, these features are processed by Principal component analysis for dimension reduction and kmean clustering for code generation to make better activity representation. Finally, we proposed a new way to model, train and recognize different activities using advanced HMM. Each activity has been chosen with the highest likelihood value. Experimental results show superior recognition rate, resulting up to the mean recognition of 57.69% over the state of the art methods for fifteen daily routine activities using IM-Daily Depth Activity dataset. In addition, MSRAction3D dataset also showed some promising results.