nils-herrmann/clean_scirepeval huggingface dataset:
Incidental gallbladder cancer at cholecystectomy: when should the surgeon be suspicious?

Preoperative predictors of incidental gallbladder cancer (iGBC) have been poorly defined despite the frequency with which cholecystectomy is performed. The objective of this study was to define the incidence of and consider risk factors for iGBC at cholecystectomy.



The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database (2005-2009) was used to identify all patients who underwent cholecystectomy (N = 91,260). Patients with an International Classification of Diseases, Ninth Revision, diagnosis of gallbladder malignancy who underwent a laparoscopic cholecystectomy (LC; n = 80,924) or open cholecystectomy (OC; n = 10,336) alone were included.



The incidence of iGBC was 0.19% (n = 170) for all cholecystectomy cases, but 0.05% at LC, 0.60% at LC converted to OC (P < 0.001 vs LC), and 1.13% at OC (P < 0.001 vs others). Patients undergoing OC were 17.3 times more likely to have iGBC than LC patients. Age 65 years or older, Asian or African American race, ASA (American Society of Anesthesiologists) class 3 or more, diabetes mellitus, hypertension, weight loss more than 10%, alkaline phosphatase levels 120 units/L or more, and albumin levels 3.6 g/dL or less were associated with iGBC. Multiple logistic regression identified having an OC, age 65 years or older, Asian or African American race, an elevated alkaline phosphatase level, and female sex as independent risk factors. Patients with 1, 2, 3, and 4 of these factors had a 6.3-, 16.7-, 30.0-, and 47.4-fold risk of iGBC, respectively, from a zero-risk factor baseline of 0.03%.



Surgeons' suspicion for GBC should be heightened when they are performing or converting from LC to OC and when patients are older, Asian or African American, female, and have an elevated alkaline phosphatase level.
Development of a work addiction scale.

Research into excessive work has gained increasing attention over the last 20 years. Terms such as "workaholism,""work addiction" and "excessive work" have been used interchangeably. Given the increase in empirical research, this study presents the development of the Bergen Work Addiction Scale (BWAS), a new psychometrically validated scale for the assessment of work addiction. A pool of 14 items, with two reflecting each of seven core elements of addiction (i.e., salience, mood modification, tolerance, withdrawal, conflict, relapse, and problems) was initially constructed. The items were then administered to two samples, one recruited by a web survey following a television broadcast about workaholism (n = 11,769) and one comprising participants in the second wave of a longitudinal internet-based survey about working life (n = 368). The items with the highest corrected item-total correlation from within each of the seven addiction elements were retained in the final scale. The assumed one-factor solution of the refined seven-item scale was acceptable (root mean square error of approximation = 0.077, Comparative Fit Index = 0.96, Tucker-Lewis Index = 0.95) and the internal reliability of the two samples were 0.84 and 0.80, respectively. The scores of the BWAS converged with scores on other workaholism scales, except for a Work Enjoyment subscale. A suggested cut-off for categorization of workaholics showed good discriminative ability in terms of working hours, leadership position, and subjective health complaints. It is concluded that the BWAS has good psychometric properties.
RF amplifier with automatic impedance matching system

A topology of a RF amplifier (1.8 GHz) with an automatic impedance matching system is presented. This RF amplifier, under impedance load mismatch, is capable of reducing the variation of its output power. Simulation results show that, with a load mismatch of up VSWR 5.7∶1, the amplifier output power varies between 12.3 and 21 dBm. Incorporating an automatic impedance matching system to the amplifier, a range of output power between 15 and 18.8 dBm is obtained.
Development of magnet connection of modular units for soft robotics

Field of soft robotics has been widely researched. Modularization of soft robots is one of the effort to expand the field. In this paper, we introduce a magnet connection for modularized soft units which were introduced in our previous research. The magnet connector was designed with off the shelf magnets. Thanks to the magnet connection, it was simpler and more intuitive than the connection method that we used in previous research. Connecting strength of the magnet connection and bending performance of a soft bending actuator assembled with the units were tested. Connecting strength and air leakage prevention of the connector was affordable in a range of actuating pneumatic pressure. We hope that this magnet connector enables modularized soft units being used as a daily item in the future.
Software Cost Estimation Framework for Service-Oriented Architecture Systems Using Divide-and-Conquer Approach

Due to the complexity of Service-Oriented Architecture (SOA), cost and effort estimation for SOA-based software development is more difficult than that for traditional software development. Unfortunately, there is a lack of published work about cost and effort estimation for SOA-based software. Existing cost estimation approaches are inadequate to address the complex service-oriented systems. This paper proposes a novel framework based on Divide-and-Conquer (D&C) for cost estimation for building SOA-based software. By dealing with separately development parts, the D&C framework can help organizations simplify and regulate SOA implementation cost estimation. Furthermore, both cost estimation modeling and software sizing work can be satisfied respectively by switching the corresponding metrics within this framework. Given the requirement of developing these metrics, this framework also defines the future research in four different directions according to the separate cost estimation sub-problems.
Sistema inteligente para procesamiento de imágenes en control de calidad basado en el modelo difuso singleton tipo 1

Resumen. En este artículo se presenta una metodología hibrida basada en un modelo difuso del tipo 1 en versión singleton usando un diseño factorial 2 que optimiza el modelo del sistema experto y sirve para realizar inspección en línea. El método de diseño factorial proporciona la base de datos necesaria para realizar la creación de la base de reglas para el modelo difuso y también genera la base de datos para entrenar el sistema experto. El método propuesto ha sido validado en el proceso de verificación de parámetros dimensionales por medio de imágenes comparándolo con los modelos ANFIS y RBFN los cuales muestran mayores márgenes de error en la aproximación de la función que representa el sistema comparada con el modelo propuesto. Los resultados obtenidos muestran que el modelo tiene un excelente desempeño en la predicción y el control de la calidad del proceso industrial estudiado cuando se compara con técnicas de sistemas expertos similares (ANFIS, RBFN).
Dermatoscopic Findings of Seborrheic Keratosis in Melanoma.

Cutaneous melanoma may in some instances be confused with seborrheic keratosis, which is a very common neoplasia, more often mistaken for actinic keratosis and verruca vulgaris. Melanoma may clinically resemble seborrheic keratosis and should be considered as its possible clinical simulator. We report a case of melanoma with dermatoscopic characteristics of seborrheic keratosis and emphasize the importance of the dermatoscopy algorithm in differentiating between a melanocytic and a non-melanocytic lesion, of the excisional biopsy for the establishment of the diagnosis of cutaneous tumors, and of the histopathologic examination in all surgically removed samples.
A single-arm phase II trial of first-line paclitaxel in combination with lapatinib in HER2-overexpressing metastatic breast cancer.

Lapatinib, an orally active tyrosine kinase inhibitor of epidermal growth factor receptor ErbB1 (EGFR) and ErbB2 (HER2), has activity as monotherapy and in combination with chemotherapy in HER2-overexpressing metastatic breast cancer (MBC).



This phase II single-arm trial assessed the safety and efficacy of first-line lapatinib in combination with paclitaxel in previously untreated patients with HER2-overexpressing MBC. The primary endpoint was the overall response rate (ORR). Secondary endpoints were the duration of response (DoR), time to response, time to progression, progression-free survival (PFS), overall survival, and the incidence and severity of adverse events. All endpoints were investigator- and independent review committee (IRC)-assessed.



The IRC-assessed ORR was 51% (29/57 patients with complete or partial response) while the investigator-assessed ORR was 77% (44/57). As per the IRC, the median DoR was 39.7 weeks, and the median PFS was 47.9 weeks. The most common toxicities were diarrhea (56%), neutropenia (44%), rash (40%), fatigue (25%), and peripheral sensory neuropathy (25%).



First-line lapatinib plus paclitaxel for HER2-overexpressing MBC produced an encouraging ORR with manageable toxicities. This combination may be useful in first-line treatment for patients with HER2-overexpressing MBC and supports the ongoing evaluation of this combination as first-line therapy in HER2-overexpressing MBC.
The Effectiveness of Online Shopping Characteristics and Well-Designed Websites on Satisfaction

Much research has been done to understand the motivations of consumers to choose among online retailers and the retailer factors driving customer satisfaction (e.g., Kim et al. 2009; Kotha et al. 2004; Pan et al. 2002; Qu et al. 2008; Smith et al. 2000; Wolfinbarger and Gilly 2003). Concentrating on e-tailing service quality, Wolfinbarger and Gilly (2003) argue that four factors—website design, fulfillment/reliability, privacy/security, and customer service—strongly predict customer satisfaction. Kotha et al. (2004) study the role of online buying experience as a competitive advantage along five dimensions: website usability, customer confidence in the web business, the selection of goods and services on the site, the effectiveness of relationship services such as virtual community building and site personalization, and the extent of price leadership. They conclude that website usability and product selection can be easily competed away via imitation, while superior customer service can lead to a sustainable competitive advantage. Devaraj et al. (2002) find that the usefulness and ease-of-use of online shopping, together with high service quality, are factors affecting consumer satisfaction and, subsequently, their channel preference. Price can also play a role in customer satisfaction. Because online stores are only a mouse click away, many studies have argued that price is an important factor in a customer’s decision-making process (Lee and Overby 2004). Using BizRate data, Jiang and Rosenbloom (2005) find that after-delivery satisfaction and price perception have a stronger impact on customer satisfaction than at-checkout satisfaction. Combining the aforementioned studies while integrating their similar dimensions, we review three retailer characteristics, namely website design, customer service, and pricing, and we provide theoretical background for this research.
[An unexplained palatal inflammation].

Une patiente de 24 ans, sans antécédent particulier, a consulté pour des douleurs au niveau du palais et des gencives. À l’interrogatoire, elle se plaignait de douleurs inconstantes au niveau gingival et d’une gêne au niveau palatin soulagée par des antalgiques de palier 1, type paracétamol. L’examen général retrouvait une asthénie évoluant depuis quelques mois associée à des arthralgies aspécifiques localisées au niveau des mains évoluant de façon paroxystique.
The Impact of Sentiment-driven Feedback on Knowledge Reuse in Online Communities

Knowledge reuse is of increasing importance for organizations. Despite the extant research, we still do not adequately understand the ways peers are motivated to reuse knowledge with the help of wiki technologies. In this paper, we study the motivation for knowledge reuse in a prominent instance of online social production: Wikipedia. Studying knowledge reuse in Wikipedia is important since Wikipedia has been able to leverage the benefits of efficient knowledge reuse to produce knowledge goods of relatively high quality. Specifically, we explore: 1) how Wikipedia editors (any peer who contributes to developing articles in Wikipedia) communicate their feedback toward each other’s work in peer conversations and 2) to what extent sentiment-driven feedback impacts the level of knowledge reuse in Wikipedia. The results show that displaying sentiment-driven feedback positively influenced the level of knowledge reuse. Our study further shows a significant difference in the level of knowledge reuse between editors who shared mainly positive or mainly negative sentiments. Specifically, displaying mainly positive feedback corresponded to a superior level of knowledge reuse than displaying mainly negative feedback. We contribute to the extant literature of online social production communities in general and Wikipedia in particular by providing a first building block for research on peer feedback’s role in developing and sustaining wiki-based knowledge reuse. We discuss our findings’ implications for theory and practice.
Towards Fast Computation of Certified Robustness for ReLU Networks

Verifying the robustness property of a general Rectified Linear Unit (ReLU) network is an NPcomplete problem. Although finding the exact minimum adversarial distortion is hard, giving a certified lower bound of the minimum distortion is possible. Current available methods of computing such a bound are either time-consuming or deliver low quality bounds that are too loose to be useful. In this paper, we exploit the special structure of ReLU networks and provide two computationally efficient algorithms (Fast-Lin,Fast-Lip) that are able to certify non-trivial lower bounds of minimum adversarial distortions. Experiments show that (1) our methods deliver bounds close to (the gap is 2-3X) exact minimum distortions found by Reluplex in small networks while our algorithms are more than 10,000 times faster; (2) our methods deliver similar quality of bounds (the gap is within 35% and usually around 10%; sometimes our bounds are even better) for larger networks compared to the methods based on solving linear programming problems but our algorithms are 3314,000 times faster; (3) our method is capable of solving large MNIST and CIFAR networks up to 7 layers with more than 10,000 neurons within tens of seconds on a single CPU core. In addition, we show that there is no polynomial time algorithm that can approximately find the minimum `1 adversarial distortion of a ReLU network with a 0.99 lnn approximation ratio unless NP=P, where n is the number of neurons in the network. Equal contribution Massachusetts Institute of Technology, Cambridge, MA UC Davis, Davis, CA Harvard University, Cambridge, MA UT Austin, Austin, TX. Source code is available at https://github.com/huanzhang12/CertifiedReLURobustness. Correspondence to: Tsui-Wei Weng <twweng@mit.edu>, Huan Zhang <huan@huan-zhang.com>. Proceedings of the 35 th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018.
Machine vision scheme for stain-release evaluation using Gabor filters with optimized coefficients

This paper presents an efficient and practical approach for automatic, unsupervised object detection and segmentation in two-texture images based on the concept of Gabor filter optimization. The entire process occurs within a hierarchical framework and consists of the steps of detection, coarse segmentation, and fine segmentation. In the object detection step, the image is first processed using a Gabor filter bank. Then, the histograms of the filtered responses are analyzed using the scale-space approach to predict the presence/absence of an object in the target image. If the presence of an object is reported, the proposed approach proceeds to the coarse segmentation stage, wherein the best Gabor filter (among the bank of filters) is automatically chosen, and used to segment the image into two distinct regions. Finally, in the fine segmentation step, the coefficients of the best Gabor filter (output from the previous stage) are iteratively refined in order to further fine-tune and improve the segmentation map produced by the coarse segmentation step. In the validation study, the proposed approach is applied as part of a machine vision scheme with the goal of quantifying the stain-release property of fabrics. To that end, the presented hierarchical scheme is used to detect and segment stains on a sizeable set of digitized fabric images, and the performance evaluation of the detection, coarse segmentation, and fine segmentation steps is conducted using appropriate metrics. The promising nature of these results bears testimony to the efficacy of the proposed approach.
Attention and cognitive control: unfolding the dichotic listening story.

In this article we present a theoretical approach to cognitive control and attention modulation, as well as review studies related to such a view, using an auditory task based on dichotic presentations of simple consonant-vowel syllables. The reviewed work comes out of joint research efforts by the 'Attention-node' at the 'Nordic Center of Excellence in Cognitive Control'. We suggest a new way of defining degrees of cognitive control based on systematically varying the stimulus intensity of the right or left ear dichotic stimulus, thus parametrically varying the degree of stimulus interference and conflict when assessing the amount of cognitive control necessary to resolve the interference. We first present an overview and review of previous studies using the so-called "forced-attention" dichotic listening paradigm. We then present behavioral and neuroimaging data to explore the suggested cognitive control model, with examples from normal adults, clinical and special ability groups.
The Giger and Davidhizar Transcultural Assessment Model.

The Giger and Davidhizar Transcultural Assessment Model was developed in 1988 in response to the need for nursing students in an undergraduate program to assess and provide care for patients that were culturally diverse. The model includes six cultural phenomena: communication, time, space, social organization, environmental control, and biological variations. These provide a framework for patient assessment and from which culturally sensitive care can be designed.
Development of a Two-wheel Balancing Robot using the STM 32 F 3-Discovery Board as an Educational Platform for Traditional and Modern Control Schemes

This paper discusses how a two-wheel self-balancing robot using the STM32F3-Discovery development Board from ST microelectronics can be used as a practical teaching platform for traditional and modern control schemes. The robot is first modeled and then its electronic architecture is reviewed. Methods for accurate angle estimation and the implementation of traditional control, namely the PID algorithm to achieve balancing/ stability are also discussed. Relevant graphical results are also provided as evidence of the system’s response and stability.
Classification-Driven Dynamic Image Enhancement

Convolutional neural networks rely on image texture and structure to serve as discriminative features to classify the image content. Image enhancement techniques can be used as preprocessing steps to help improve the overall image quality and in turn improve the overall effectiveness of a CNN. Existing image enhancement methods, however, are designed to improve the perceptual quality of an image for a human observer. In this paper, we are interested in learning CNNs that can emulate image enhancement and restoration, but with the overall goal to improve image classification and not necessarily human perception. To this end, we present a unified CNN architecture that uses a range of enhancement filters that can enhance image-specific details via end-to-end dynamic filter learning. We demonstrate the effectiveness of this strategy on four challenging benchmark datasets for fine-grained, object, scene, and texture classification: CUB-200-2011, PASCAL-VOC2007, MIT-Indoor, and DTD. Experiments using our proposed enhancement show promising results on all the datasets. In addition, our approach is capable of improving the performance of all generic CNN architectures.
Imaging case of the month: Abnormalities of the cochlear nerves and internal auditory canals in pontine tegmental cap dysplasia.

Pontine tegmental cap dysplasia (PTCD) is a recently described hindbrain malformation characterized by pontine hypoplasia and ectopic dorsal transverse pontine fibers (1). To date, a total of 19 cases of PTCD have been published, all patients had sensorineural hearing loss (SNHL). We contribute 1 additional case of PTCD with SNHL with and VIIIth cranial nerve and temporal bone abnormalities using dedicated magnetic resonance (MR) and high-resolution temporal bone computed tomographic (CT) images.
Real Time Prediction of Drive by Download Attacks on Twitter

The popularity of Twitter for information discovery, coupled with the automatic shortening of URLs to save space, given the 140 character limit, provides cybercriminals with an opportunity to obfuscate the URL of a malicious Web page within a tweet. Once the URL is obfuscated, the cybercriminal can lure a user to click on it with enticing text and images before carrying out a cyber attack using a malicious Web server. This is known as a drive-by download. In a drive-by download a user's computer system is infected while interacting with the malicious endpoint, often without them being made aware the attack has taken place. An attacker can gain control of the system by exploiting unpatched system vulnerabilities and this form of attack currently represents one of the most common methods employed. In this paper we build a machine learning model using machine activity data and tweet metadata to move beyond post-execution classification of such URLs as malicious, to predict a URL will be malicious with 0.99 F-measure (using 10-fold cross-validation) and 0.833 (using an unseen test set) at 1 s into the interaction with the URL. Thus, providing a basis from which to kill the connection to the server before an attack has completed and proactively blocking and preventing an attack, rather than reacting and repairing at a later date.
Temporal Metaphysics in Z-Land

John Perry has argued that language, thought and experience often contain unarticulated constituents. I argue that this idea holds the key to explaining away the intuitive appeal of the A-theory of time and the endurance theory of persistence. The A-theory has seemed intuitively appealing because the nature of temporal experience makes it natural for us to use one-place predicates like past to deal with what are really two-place relations, one of whose constituents is unarticulated. The endurance view can be treated in a similar way; the temporal boundaries of temporal parts of objects are unarticulated in experience and this makes it seem that the very same entity exists at different times.