nils-herrmann/clean_scirepeval huggingface dataset:
The numeric rating scale for clinical pain measurement: a ratio measure?

The Numeric Rating Scale (NRS-11) has been widely used clinically for the assessment of pain. Its use for clinical research is controversial. Reports differ as to whether or not the NRS-11 should be treated as a ratio pain measurement tool. This study compared the NRS-11 to a ratio measure for pain assessment: the visual analog scale (VAS). Simultaneous pain measurements using these 2 scales were compared in clinical situations commonly encountered in a tertiary community hospital. Whereas linear relationships were noted in laboring patients and in postoperative patients with thoracic or abdominal incisions during cough, no such correlations were noted for the same postoperative patients at rest or for postoperative orthopedic patients. The NRS-11 should not be considered to be interchangeable with the VAS. Its use for clinical research should be limited to situations where it has specifically demonstrated linear properties.
Transactional Analysis Psychotherapy for a Case of Mixed Anxiety & Depression : A Pragmatic Adjudicated Case Study

Using an original method of case evaluation which involved an analysis panel of over 80 Italian psychologists and included a lay case evaluation, the author has investigated the effectiveness of transactional analysis psychotherapy for a case of mixed anxiety and depression with a 39 year old white British male who attended 14 weekly sessions. CORE-OM (Evans, Mellor-Clark , Margison, Barkham, Audin, Connell and McGrath, 2000), PHQ-9 (Kroenke, Spitzer & Williams, 2001), GAD-7) Spitzer, Kroenke, Williams & Löwe, 2006, Hamilton Rating Scale for Depression (Hamilton, 1980) were used for screening and also for outcome measurement, along with Session Rating Scale (SRS v.3.0) (Duncan, Miller, Sparks, Claud, Reynolds, Brown and Johnson, 2003) and Comparative Psychotherapy Process Scale (CPPS) (Hilsenroth, Blagys, Ackerman, Bonge and Blais, 2005), within an overall adjudicational case study method. The conclusion of the analysis panel and the lay judge was unanimously that this was a good outcome case and that the client’s changes had been as a direct result of therapy. Previous case study research has demonstrated that TA is effective for depression, and this present case provides foundation evidence for the effectiveness of TA for depression with comorbid anxiety.
Review and analysis of networking challenges in cloud computing

Cloud Computing offers virtualized computing, storage, and networking resources, over the Internet, to organizations and individual users in a completely dynamic way. These cloud resources are cheaper, easier to manage, and more elastic than sets of local, physical, ones. This encourages customers to outsource their applications and services to the cloud. The migration of both data and applications outside the administrative domain of customers into a shared environment imposes transversal, functional problems across distinct platforms and technologies. This article provides a contemporary discussion of the most relevant functional problems associated with the current evolution of Cloud Computing, mainly from the network perspective. The paper also gives a concise description of Cloud Computing concepts and technologies. It starts with a brief history about cloud computing, tracing its roots. Then, architectural models of cloud services are described, and the most relevant products for Cloud Computing are briefly discussed along with a comprehensive literature review. The paper highlights and analyzes the most pertinent and practical network issues of relevance to the provision of high-assurance cloud services through the Internet, including security. Finally, trends and future research directions are also presented.
Antihelix plasty without modeling sutures.

Many techniques have been described for the surgical correction of protruding ears. A novel modification of a cartilage-sparing otoplastic technique is provided herein. In this modification, a diamond-coated file is used to abrade the anterior surface of the antihelical cartilage to create biomechanical remodeling with resultant formation of a new antihelix. A case series of 302 ears, operated on over a 3 1/2-year period, is presented in support of this technique. This procedure is appropriate for patients having firm or soft auricular cartilage, an underdeveloped antihelical ridge, and a prominent or moderate hypertrophic conchal wall.
Exploring Static and Live Digital Forensics: Methods, Practices and Tools

Analysis and examination of data is performed in digital forensics. Nowadays computer is the major source of communication which can also be used by the investigators to gain forensically relevant information. Forensic analysis can be done in static and live modes. Traditional approach provides incomplete evidentiary data, while live analysis tools can provide the investigators a more accurate and consistent picture of the current and previously running processes. Many important system related information present in volatile memory cannot be effectively recovered by using static analysis techniques. In this paper, we present a critical review of static and live analysis approaches and we evaluate the reliability of different tools and techniques used in static and live digital forensic analysis.
Actinomycosis of the Upper Lip

Actinomycotic infections are known to have an association with difficulties in diagnosis and treatment. These infections usually involve the head, neck, thorax, and abdomen. Actinomycosis of the upper lip is a rare condition and an important one as well, because it can imitate other diseases. As the initial impression, it can easily be mistaken for a mucocele, venous lake, or benign neoplasm. An 82-year-old man presented with an asymptomatic normal skin colored nodule on the upper lip. Histopathologic findings showed an abscess and sulfur granules in the dermis. Gram staining results showed a mesh of branching rods. In this report, we present an unusual case of actinomycosis of the upper lip and discuss its characteristics and therapeutic modalities.
Anatomical study of the pisotriquetral joint ligaments using ultrasonography

The aim of this study was to demonstrate that ultrasonography may allow a precise assessment of the primary stabilizers of pisotriquetral joint (pisohamate, pisometacarpal, and ulnar pisotriquetral ligaments). This study was initially undertaken in eight cadavers. Metal markers were placed in the ligaments using ultrasonographic guidance, followed by the dissection of the wrists. High-resolution ultrasonography was then performed in 15 volunteers (30 wrists) for the analysis of the presence, appearance, and thickness of the ligaments. At dissection, the metal markers were located in the ligaments or immediately adjacent to them, confirming that they were correctly depicted using ultrasonography. The three ligaments could also be identified in each volunteer. The optimal positioning of the probe and the dynamic maneuvers of the wrist allowing the strain of these ligaments could be defined. No significant changes in the appearance and thickness of the ligaments could be observed. The three ligaments stabilizing the pisotriquetral joint can be identified using ultrasonography. Further studies are now required to know whether this knowledge may be useful in the assessment of pain involving the ulnar part of the wrist.
Agile Software Development: Adaptive Systems Principles and Best Practices

Today’s environments of increasing business change require software development methodologies that are more adaptable. This article examines how complex adaptive systems (CAS) theory can be used to increase our understanding of how agile software development practices can be used to develop this capability. A mapping of agile practices to CAS principles and three dimensions (product, process, and people) results in several recommendations for “best practices” in systems development.
Increasing Deep Learning Melanoma Classification by Classical And Expert Knowledge Based Image Transforms

Skin cancer is a major public health problem, as is the most common type of cancer and represents more than half of cancer diagnoses worldwide. Early detection influences the outcome of the disease and motivates our work. We obtain the state of the art results for the ISBI 2016 Melanoma Classification Challenge (named Skin Lesion Analysis towards Melanoma Detection) facing the peculiarities of dealing with such a small, unbalanced, biological database. For that, we explore committees of Convolutional Neural Networks trained over the ISBI challenge training dataset artificially augmented by both classical image processing transforms and image warping guided by specialist knowledge about the lesion axis and improve the final classifier invariance to common melanoma variations.
Incentive Mechanism for Data-Centric Message Delivery in Delay Tolerant Networks

A key issue in delay tolerant networks (DTN) is to find the right node to store and relay messages. We consider messages annotated with the unique keywords describing themessage subject, and nodes also adds keywords to describe their mission interests, priority and their transient social relationship (TSR). To offset resource costs, an incentive mechanism is developed over transient social relationships which enrich enroute message content and motivate better semantically related nodes to carry and forward messages. The incentive mechanism ensures avoidance of congestion due to uncooperative or selfish behavior of nodes.
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields

Graph cuts method such as &alpha;-expansion  and fusion moves [22] have been successful at solving many optimization problems in computer vision. Higher-order Markov Random Fields (MRF's), which are important for numerous applications, have proven to be very difficult, especially for multilabel MRF's (i.e. more than 2 labels). In this paper we propose a new primal-dual energy minimization method for arbitrary higher-order multilabel MRF's. Primal-dual methods provide guaranteed approximation bounds, and can exploit information in the dual variables to improve their efficiency. Our algorithm generalizes the PD3 [19] technique for first-order MRFs, and relies on a variant of max-flow that can exactly optimize certain higher-order binary MRF's [14]. We provide approximation bounds similar to PD3 [19], and the method is fast in practice. It can optimize non-submodular MRF's, and additionally can in- corporate problem-specific knowledge in the form of fusion proposals. We compare experimentally against the existing approaches that can efficiently handle these difficult energy functions [6, 10, 11]. For higher-order denoising and stereo MRF's, we produce lower energy while running significantly faster.
CrowdMAC: A Crowdsourcing System for Mobile Access

Staggering growth levels in the number of mobile devices and amount of mobile Internet usage has caused network providers to move away from unlimited data plans to less flexible charging models. As a result, users are being required to pay more for short accesses or underutilize a longer-term data plan. In this paper, we propose CrowdMAC, a crowdsourcing approach in which mobile users create a marketplace for mobile Internet access. Mobile users with residue capacity in their data plans share their access with other nearby mobile users for a small fee. CrowdMAC is implemented as a middleware framework with incentivebased mechanisms for admission control, service selection, and mobility management. CrowdMAC is implemented and evaluated on a testbed of Android phones and in the well known Qualnet simulator. Our evaluation results show that CrowdMAC: (i) effectively exercises the trade-off between revenue and transfer delay, (ii) adequately satisfies user-specified (delay) quality levels, and (iii) properly adapts to device mobility and achieves performance very close to the ideal case (upper bound).
Color image segmentation based on homogram thresholding and region merging

In this paper, a color image segmentation approach based on homogram thresholding and region merging is presented. The homogram considers both the occurrence of the gray levels and the neighboring homogeneity value among pixels. Therefore, it employs both the local and global information. Fuzzy entropy is utilized as a tool to perform homogram analysis for nding all major homogeneous regions at the rst stage. Then region merging process is carried out based on color similarity among these regions to avoid oversegmentation. The proposed homogram-based approach (HOB) is compared with the histogram-based approach (HIB). The experimental results demonstrate that the HOB can nd homogeneous regions more eeectively than HIB does, and can solve the problem of discriminating shading in color images to some extent.
Hydrothermal recycling of waste and performance of the recycled wooden particleboards.

Recycling today constitutes the most environmentally friendly method of managing wood waste. A large proportion of the wood waste generated consists of used furniture and other constructed wooden items, which are composed mainly of particleboard, a material which can potentially be reused. In the current research, four different hydrothermal treatments were applied in order to recover wood particles from laboratory particleboards and use them in the production of new (recycled) ones. Quality was evaluated by determining the main properties of the original (control) and the recycled boards. Furthermore, the impact of a second recycling process on the properties of recycled particleboards was studied. With the exception of the modulus of elasticity in static bending, all of the mechanical properties of the recycled boards tested decreased in comparison with the control boards. Furthermore, the recycling process had an adverse effect on their hygroscopic properties and a beneficial effect on the formaldehyde content of the recycled boards. The results indicated that when the 1st and 2nd particleboard recycling processes were compared, it was the 2nd recycling process that caused the strongest deterioration in the quality of the recycled boards. Further research is needed in order to explain the causes of the recycled board quality falloff and also to determine the factors in the recycling process that influence the quality degradation of the recycled boards.
Green Component Procurement Collaboration for Improving Supply Chain Management in the High Technology Industries : A Case Study from the Systems Perspective

The impacts of high technology industries have been growing increasingly to technological innovations and global economic developments, while the concerns in sustainability are calling for facilitating green materials and cleaner production in the industrial value chains. Today’s manufacturing companies are not striving for individual capacities but for the effective working with green supply chains. However, in addition to environmental and social objectives, cost and economic feasibility has become one of the most critical success factors for improving supply chain management with green component procurement collaboration, especially for the electronics OEM (original equipment manufacturing) companies whose procurement costs often make up a very high proportion of final product prices. This paper presents a case study from the systems perspective by using System Dynamics simulation analysis and statistical validations with empirical data. Empirical data were collected from Taiwanese manufacturing chains—among the world’s largest manufacturing clusters of high technology components and products—and their global green suppliers to examine the benefits of green component procurement collaborations in terms of shared costs and improved shipping time performance. Two different supply chain collaboration models, from multi-layer ceramic capacitor (MLCC) and universal serial bus 3.0 (USB 3.0) cable procurements, were benchmarked and statistically validated. The results suggest that the practices of collaborative planning for procurement quantity and accurate fulfillment by suppliers are significantly related to cost effectiveness and shipping time efficiency. Although the price negotiation of upstream raw materials for the collaborative suppliers has no statistically significant benefit to the shipping time efficiency, the shared cost reduction of component procurement is significantly positive for supply chain collaboration among green manufacturers. Managerial implications toward sustainable supply chain management were also discussed.
Kelly ' s Criterion in Portfolio Optimization : A Decoupled Problem

Kelly's Criterion is well known among gamblers and investors as a method for maximizing the returns one would expect to observe over long periods of betting or investing. These ideas are conspicuously absent from portfolio optimization problems in the financial and automation literature. This paper will show how Kelly's Criterion can be incorporated into standard portfolio optimization models. The model developed here combines risk and return into a single objective function by incorporating a risk parameter. This model is then solved for a portfolio of 10 stocks from a major stock exchange using a differential evolution algorithm. Monte Carlo calculations are used to verify the accuracy of the results obtained from differential evolution. The results show that evolutionary algorithms can be successfully applied to solve a portfolio optimization problem where returns are calculated by applying Kelly's Criterion to each of the assets in the portfolio.
TOWARDS 4D VIRTUAL CITY RECONSTRUCTION FROM LIDAR POINT CLOUD SEQUENCES

In this paper we propose a joint approach on virtual city reconstruction and dynamic scene analysis based on point cloud sequences of a single car-mounted Rotating Multi-Beam (RMB) Lidar sensor. The aim of the addressed work is to create 4D spatio-temporal models of large dynamic urban scenes containing various moving and static objects. Standalone RMB Lidar devices have been frequently applied in robot navigation tasks and proved to be efficient in moving object detection and recognition. However, they have not been widely exploited yet for geometric approximation of ground surfaces and building facades due to the sparseness and inhomogeneous density of the individual point cloud scans. In our approach we propose an automatic registration method of the consecutive scans without any additional sensor information such as IMU, and introduce a process for simultaneously extracting reconstructed surfaces, motion information and objects from the registered dense point cloud completed with point time stamp information.
A Waveguide Magic-T With Coplanar Arms for High-Power Solid-State Power Combining

In this paper, a compact waveguide magic-T for high-power solid-state power combining is proposed. The coplanar arms of the <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$H$ </tex-math></inline-formula> ports are realized by the <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula>-plane power divider and ridge waveguide coupling structure. The input port of the <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula>-plane power divider is used to realize the difference port of the magic-T, and the ridge waveguide port is utilized to realize the sum port. Based on a theoretical analysis, a modified magic-T with two coaxial ports, one ridge port, and one rectangular port is designed and fabricated. Low-power tests show that from 7.8 to 9.4 GHz, when the difference port and the sum port are excited, the insertion loss of the magic-T is less than 0.2 dB. The isolation between the sum/difference ports and the two input ports is better than 40 and 26 dB. As for the in-phase and out-of-phase excitation, the amplitude and phase imbalances are less than ±0.05 dB and 1°. High-power experiments indicate that the power capacity is no less than 14 kW with a 1-<inline-formula> <tex-math notation="LaTeX">$\mu \text{s}$ </tex-math></inline-formula> pulsewidth. The measured results agree with the simulations.
Search Without a Query: Powering Job Recommendations via Search Index at LinkedIn

The mission of LinkedIn is to connect the world's professionals to make them more productive and successful. LinkedIn operates the world's largest professional network on the Internet with more than 500 Million members in over 200 countries. Core to realizing the mission is to help people find jobs. In this paper, we describe how the jobs recommendations is powered by a search index and some practical challenges involved in scaling such a system.
Premalignant lesions of the lower female genital tract: cervix, vagina and vulva.

Premalignant lesions of the lower female genital tract encompassing the cervix, vagina and vulva are variably common and many, but by no means all, are related to infection by human papillomavirus (HPV). In this review, pathological aspects of the various premalignant lesions are discussed, mainly concentrating on new developments. The value of ancillary studies, mainly immunohistochemical, is discussed at the appropriate points. In the cervix, the terminology and morphological features of premalignant glandular lesions is covered, as is the distinction between adenocarcinoma in situ (AIS) and early invasive adenocarcinoma, which may be very problematic. A spectrum of benign, premalignant and malignant cervical glandular lesions exhibiting gastric differentiation is emerging with lobular endocervical glandular hyperplasia (LEGH), including so-called atypical LEGH, representing a possible precursor of non HPV-related cervical adenocarcinomas exhibiting gastric differentiation; these include the cytologically bland adenoma malignum and the morphologically malignant gastric type adenocarcinoma. Stratified mucin producing intraepithelial lesion (SMILE) is a premalignant cervical lesion with morphological overlap between cervical intraepithelial neoplasia (CIN) and AIS and which is variably regarded as a form of reserve cell dysplasia or stratified AIS. It is now firmly established that there are two distinct types of vulval intraepithelial neoplasia (VIN) with a different pathogenesis, molecular events, morphological features and risk of progression to squamous carcinoma. These comprise a more common HPV-related usual type VIN (also referred to as classic, undifferentiated, basaloid, warty, Bowenoid type) and a more uncommon differentiated (simplex) type which is non-HPV related and which is sometimes associated with lichen sclerosus. The former has a relatively low risk of progression to HPV-related vulval squamous carcinoma and the latter a high risk of progression to non-HPV related vulval squamous carcinoma. Various aspects of vulval Paget's disease are also discussed.
A Survey of Dimension Reduction Methods for High-dimensional Data Analysis and Visualization

Dimension reduction is commonly defined as the process of mapping high-dimensional data to a lower-dimensional embedding. Applications of dimension reduction include, but are not limited to, filtering, compression, regression, classification, feature analysis, and visualization. We review methods that compute a point-based visual representation of high-dimensional data sets to aid in exploratory data analysis. The aim is not to be exhaustive but to provide an overview of basic approaches, as well as to review select state-of-the-art methods. Our survey paper is an introduction to dimension reduction from a visualization point of view. Subsequently, a comparison of state-of-the-art methods outlines relations and shared research foci.