nils-herrmann/clean_scirepeval huggingface dataset:
3D hand posture recognition from small unlabeled point sets

This paper is concerned with the evaluation and comparison of several methods for the classification and recognition of static hand postures from small unlabeled point sets corresponding to physical landmarks, e.g. reflective marker positions in a motion capture environment. We compare various classification algorithms based upon multiple interpretations and feature transformations of the point sets, including those based upon aggregate features (e.g. mean) and a pseudo-rasterization of the space. We find aggregate feature classifiers to be balanced across multiple users but relatively limited in maximum achievable accuracy. Certain classifiers based upon the pseudo-rasterization performed best among tested classification algorithms. The inherent difficulty in classifying certain users leads us to conclude that online learning may be necessary for the recognition of natural gestures.
Word Level Language Identification in Online Multilingual Communication

Multilingual speakers switch between languages in online and spoken communication. Analyses of large scale multilingual data require automatic language identification at the word level. For our experiments with multilingual online discussions, we first tag the language of individual words using language models and dictionaries. Secondly, we incorporate context to improve the performance. We achieve an accuracy of 98%. Besides word level accuracy, we use two new metrics to evaluate this task.
Imperforate Hymen as Cause of Acute Urinary Retention

The imperforate hymen is one of the most frequent malformations of the female genital tract. The clinical presentation varies from the asymptomatic form to symptoms caused by the obstructive effect of the hematocolpometra such as primary amenorrhea, abdominal and lumbar pain, constipation, dysuria and urinary retention. We report the case of an adolescent whose only symptoms were acute urinary retention associated with severe pelvic pain.
Simulation Comparisons and Implementation of Induction Generator Wind Power Systems

This paper describes the performance comparison of a wind power systems based on two different induction generators as well as the experimental demonstration of a wind turbine simulator for the maximum power extraction. The two induction machines studied for the comparison are the squirrel-cage induction generator (SCIG) and the doubly fed induction generator (DFIG). The techniques of direct grid integration, independent power control, and the droop phenomenon of distribution line are studied and compared between the SCIG and DFIG systems. Both systems are modeled in Matlab/Simulink environment, and the operation is tested for the wind turbine maximum power extraction algorithm results. Based on the simulated wind turbine parameters, a commercial induction motor drive was programmed to emulate the wind turbine and is coupled to the experimental generator systems. The turbine experimental results matched well with the theoretical turbine operation.
Underwater image quality enhancement through composition of dual-intensity images and Rayleigh-stretching

Quality of underwater image is poor due to the environment of water medium. The physical property of water medium causes attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images. This paper extends the methods of enhancing the quality of underwater image. The proposed method consists of two stages. At the first stage, the contrast correction technique is applied to the image, where the image is applied with the modified Von Kreis hypothesis and stretching the image into two different intensity images at the average value with respects to Rayleigh distribution. At the second stage, the color correction technique is applied to the image where the image is first converted into hue-saturation-value (HSV) color model. The modification of the color component increases the image color performance. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.
Low-Noise Active Cancellation of Transmitter Leakage and Transmitter Noise in Broadband Wireless Receivers for FDD/Co-Existence

A technique for active cancellation of transmitter self-interference in wideband receivers is presented. The active TX leakage cancellation circuitry is embedded within a noise-cancelling low-noise transconductance amplifier (LNTA) so that the noise and the distortion of the cancellation circuitry are cancelled, resulting in a noise-cancelling, self-interference cancelling receiver (NC-SIC RX). A second-point cancellation of TX noise in the RX band is performed after the LNTA so that the noise impact of the second canceller is reduced. Theoretical analyses related to the benefits and limits of active self-interference cancellation as well as the simultaneous cancellation of the noise and distortion of the cancellation circuitry are presented. A 0.3-1.7 GHz receiver with the proposed active cancellation is implemented in 65 nm CMOS. The proposed scheme can cancel up to +2 dBm peak TX leakage at the receiver input. The triple beat at +2 dBm peak TX leakage is 68 dB and the effective IIP3 is +33 dBm, representing increases of 38 and 19 dB, respectively, over the receiver without cancellation. The associated increase in receiver NF is less than 0.8 dB. In addition, the scheme effectively suppresses TX noise in RX band by up to 13 dB. The technique can be more generally viewed as an active combining structure that has ideally no noise penalty and is able to handle large signals without generating distortion and can be applied to any scenario where a replica of an interference signal can be generated.
Periorbital melanosis is an extension of pigmentary demarcation line-F on face.

To date, periorbital melanosis is an ill-defined entity. The condition has been stated to be darkening of the skin around the eyes, dark circles, infraorbital darkening and so on.



This study was aimed at exploring the nature of pigmentation in periorbital melanosis.



One hundred consecutive patients of periorbital melanosis were examined and investigated to define periorbital melanosis. Extent of periorbital melanosis was determined by clinical examination. Wood's lamp examination was performed in all the patients to determine the depth of pigmentation. A 2-mm punch biopsy was carried out in 17 of 100 patients.



In 92 (92%) patients periorbital melanosis was an extension of pigmentary demarcation line over the face (PDL-F).



Periorbital melanosis and pigmentary demarcation line of the face are not two different conditions; rather they are two different manifestations of the same disease.
Using recovery modalities between training sessions in elite athletes: does it help?

Achieving an appropriate balance between training and competition stresses and recovery is important in maximising the performance of athletes. A wide range of recovery modalities are now used as integral parts of the training programmes of elite athletes to help attain this balance. This review examined the evidence available as to the efficacy of these recovery modalities in enhancing between-training session recovery in elite athletes. Recovery modalities have largely been investigated with regard to their ability to enhance the rate of blood lactate removal following high-intensity exercise or to reduce the severity and duration of exercise-induced muscle injury and delayed onset muscle soreness (DOMS). Neither of these reflects the circumstances of between-training session recovery in elite athletes. After high-intensity exercise, rest alone will return blood lactate to baseline levels well within the normal time period between the training sessions of athletes. The majority of studies examining exercise-induced muscle injury and DOMS have used untrained subjects undertaking large amounts of unfamiliar eccentric exercise. This model is unlikely to closely reflect the circumstances of elite athletes. Even without considering the above limitations, there is no substantial scientific evidence to support the use of the recovery modalities reviewed to enhance the between-training session recovery of elite athletes. Modalities reviewed were massage, active recovery, cryotherapy, contrast temperature water immersion therapy, hyperbaric oxygen therapy, nonsteroidal anti-inflammatory drugs, compression garments, stretching, electromyostimulation and combination modalities. Experimental models designed to reflect the circumstances of elite athletes are needed to further investigate the efficacy of various recovery modalities for elite athletes. Other potentially important factors associated with recovery, such as the rate of post-exercise glycogen synthesis and the role of inflammation in the recovery and adaptation process, also need to be considered in this future assessment.
Proteinase activity and stability of natural bromelain preparations.

Bromelain is a complex mixture of proteinases typically derived from pineapple stem. Similar proteinases are also present in pineapple fruit. Beneficial therapeutic effects of bromelain have been suggested or proven in several human inflammatory diseases and animal models of inflammation, including arthritis and inflammatory bowel disease. However, it is not clear how each of the proteinases within bromelain contributes to its anti-inflammatory effects in vivo. Previous in vivo studies using bromelain have been limited by the lack of assays to control for potential differences in the composition and proteolytic activity of this naturally derived proteinase mixture. In this study, we present model substrate assays and assays for cleavage of bromelain-sensitive cell surface molecules can be used to assess the activity of constituent proteinases within bromelain without the need for biochemical separation of individual components. Commercially available chemical and nutraceutical preparations of bromelain contain predominately stem bromelain. In contrast, the proteinase activity of pineapple fruit reflects its composition of fruit bromelain>ananain approximately stem bromelain. Concentrated bromelain solutions (>50 mg/ml) are more resistant to spontaneous inactivation of their proteolytic activity than are dilute solutions, with the proteinase stability in the order of stem bromelain>fruit bromelain approximately ananain. The proteolytic activity of concentrated bromelain solutions remains relatively stable for at least 1 week at room temperature, with minimal inactivation by multiple freeze-thaw cycles or exposure to the digestive enzyme trypsin. The relative stability of concentrated versus dilute bromelain solutions to inactivation under physiologically relevant conditions suggests that delivery of bromelain as a concentrated bolus would be the preferred method to maximize its proteolytic activity in vivo.
Improved Algorithms for Topic Distillation in a Hyperlinked Environment

This paper addresses the problem of topic distillation on the World Wide Web, namely, given a typical user query to find quality documents related to the query topic. Connectivity analysis has been shown to be useful in identifying high quality pages within a topic specific graph of hyperlinked documents. The essence of our approach is to augment a previous connectivity analysis based algorithm with content analysis. We identify three problems with the existing approach and devise algorithms to tackle them. The results of a user evaluation are reported that show an improvement of precision at 10 documents by at least 45% over pure connectivity analysis.
Two theories of consciousness: Semantic pointer competition vs. information integration

Consciousness results from three mechanisms: representation by firing patterns in neural populations, binding of representations into more complex representations called semantic pointers, and competition among semantic pointers to capture the most important aspects of an organism's current state. We contrast the semantic pointer competition (SPC) theory of consciousness with the hypothesis that consciousness is the capacity of a system to integrate information (IIT). We describe computer simulations to show that SPC surpasses IIT in providing better explanations of key aspects of consciousness: qualitative features, onset and cessation, shifts in experiences, differences in kinds across different organisms, unity and diversity, and storage and retrieval.
Optic nerve hypoplasia syndrome: a review of the epidemiology and clinical associations.

Optic nerve hypoplasia (ONH) has developed into a leading cause of congenital blindness. The frequently associated features of hypopituitarism and absent septum pellucidum were felt to have embryonic linkage as "septo-optic dysplasia" or "de Morsier's syndrome." More recent studies have suggested these associations are independent of one another. This review provides an assessment of the historical and recent evidence linking neuroradiologic, endocrinologic and developmental morbidity in patients with ONH. The prenatal risk factors, heritability, and genetic mutations associated with ONH are described.



Recognition of the critical association of ONH with hypopituitarism should be attributed to William Hoyt, not Georges de Morsier. De Morsier never described a case of ONH or recognized its association with hypopituitarism or missing septum pellucidum. Hypopituitarism is caused by hypothalamic dysfunction. This, and other more recently identified associations with ONH, such as developmental delay and autism, are independent of septum pellucidum development. Other common neuroradiographic associations such as corpus callosum hypoplasia, gyrus dysplasia, and cortical heterotopia may have prognostic significance. The predominant prenatal risk factors for ONH are primiparity and young maternal age. Presumed risk factors such as prenatal exposure to drugs and alcohol are not supported by scrutiny of the literature. Heritability and identified gene mutations in cases of ONH are rare.



Children with ONH require monitoring for many systemic, developmental, and even life-threatening problems independent of the severity of ONH and presence of brain malformations including abnormalities of the septum pellucidum. "Septo-optic dysplasia" and "de Morsier's syndrome" are historically inaccurate and clinically misleading terms.
MicroRNA Signatures as Biomarkers and Therapeutic Target for CNS Embryonal Tumors: The Pros and the Cons

Embryonal tumors of the central nervous system represent a heterogeneous group of childhood cancers with an unknown pathogenesis; diagnosis, on the basis of histological appearance alone, is controversial and patients' response to therapy is difficult to predict. They encompass medulloblastoma, atypical teratoid/rhabdoid tumors and a group of primitive neuroectodermal tumors. All are aggressive tumors with the tendency to disseminate throughout the central nervous system. The large amount of genomic and molecular data generated over the last 5-10 years encourages optimism that new molecular targets will soon improve outcomes. Recent neurobiological studies have uncovered the key role of microRNAs (miRNAs) in embryonal tumors biology and their potential use as biomarkers is increasingly being recognized and investigated. However the successful use of microRNAs as reliable biomarkers for the detection and management of pediatric brain tumors represents a substantial challenge. This review debates the importance of miRNAs in the biology of central nervous systemembryonal tumors focusing on medulloblastoma and atypical teratoid/rhabdoid tumors and highlights the advantages as well as the limitations of their prospective application as biomarkers and candidates for molecular therapeutic targets.
Architectural implications of smart city business models: an evolutionary perspective

Smart cities have rapidly become a hot topic within technology communities, and promise both improved delivery of services to end users and reduced environmental impact in an era of unprecedented urbanization. Both large hightech companies and grassroots citizen-led initiatives have begun exploring the potential of these technologies. Significant barriers remain to the successful rollout and deployment of business models outlined for smart city applications and services, however. Most of these barriers pertain to an ongoing battle between two main schools of thought for system architecture, ICT and telecommunications, proposed for data management and service creation. Both of these system architectures represent a certain type of value chain and the legacy perspective of the respective players that wish to enter the smart city arena. Smart cities services, however, utilize components of both the ICT industry and mobile telecommunications industries, and do not benefit from the current binary perspective of system architecture. The business models suggested for the development of smart cities require a longterm strategic view of system architecture evolution. This article discusses the architectural evolution required to ensure that the rollout and deployment of smart city technologies is smooth through acknowledging and integrating the strengths of both the system architectures proposed.
NFO diagnostics: a modified Sassouni Cephalometric Analysis.

This extensively modified version of the Sassouni Cephalometric Analysis is very beneficial to the dentist treating functional orthodontic and TMD patients. Some practitioners even derive benefits from its application when determining vertical in the edentulous patient. The NFO analysis has been shown to be of great benefit to determine vertical proportion and growth potential of the young patient. The analysis has the ability to show incisor placement relative to opening and closing trajectory and where to place the mandible for functional advancement. Practitioners need a diagnostic cephalogram that is visual and descriptive of the skeletal and dental malocclusion. This analysis provides many tools that will assist the clinician in making those decisions.
Automatic Photo Orientation Detection with Convolutional Neural Networks

We apply convolutional neural networks (CNN) to the problem of image orientation detection in the context of determining the correct orientation (from 0, 90, 180, and 270 degrees) of a consumer photo. The problem is especially important for digitazing analog photographs. We substantially improve on the published state of the art in terms of the performance on one of the standard datasets, and test our system on a more difficult large dataset of consumer photos. We use Guided Backpropagation to obtain insights into how our CNN detects photo orientation, and to explain its mistakes.
Acral Lentiginous Melanoma - misdiagnosis, referral delay and 5 years specific survival according to site.

Acral lentiginous melanoma (ALM) is a defined histopathological entity with peculiar clinical-pathological features and is the most common subtype of malignant melanoma in acral locations. The 5-year survival rate is lower than that for all cutaneous malignant melanoma overall (80.3% versus 91.3%). Controversy exists in the literature as to whether this worse prognosis is attributable to a more aggressive biological nature or to difficult-to-see sites and consequent advanced stage at the time of diagnosis. The main purpose of the study was to explore any prognostic difference according to upper limb or lower limb localizations, based on the hypothesis that upper limb localizations might receive attention sooner than lower limb localizations.



A cohort longitudinal study was performed through a retrospective review of all patients consecutively referred to our Unit with histological confirmation of ALM. Data were collected from a 10 year period between 1996 and 2006 to allow determination of 5 year survival statistics.



Out of 87 patients included in the study, 32 were men (37%) and 55 were women 63%. The average number of months it took for patients to present was 62 months with a mode of 12 months. Overall 5 year survival was 80% and a multivariate analysis showed that the most reliable prognostic indicators are the Breslow's thickness and the margins of complete excision. When controlling the survival rates for Breslow thickness, the values were similar to the reported rates indicated in the recent literature for cutaneous malignant melanoma.



The higher aggressiveness of ALM was noticed to be attributable to a later stage and more advanced thickness at diagnosis. No significant difference was found between upper and lower limb localization in terms of prognosis.
Caudal duplication syndrome.

To present the clinical and roentgenographic features of caudal duplication syndrome.



Retrospective review of the medical records and all available imaging studies.



Two university-affiliated teaching hospitals.



Six children with multiple anomalies and duplications of distal organs derived from the hindgut, neural tube, and adjacent mesoderm.



None.



Spinal anomalies (myelomeningocele in two patients, sacral duplication in three, diplomyelia in two, and hemivertebrae in one) were present in all our patients. Duplications or anomalies of the external genitalia and/or the lower urinary and reproductive structures were also seen in all our patients. Ventral herniation (in one patient), intestinal obstructions (in one patient), and bowel duplications (in two patients) were the most common gastrointestinal abnormalities.



We believe that the above constellation of abnormalities resulted from an insult to the caudal cell mass and hindgut at approximately the 23rd through the 25th day of gestation. We propose the term caudal duplication syndrome to describe the association between gastrointestinal, genitourinary, and distal neural tube malformations.
SLAQ: quality-driven scheduling for distributed machine learning

Training machine learning (ML) models with large datasets can incur significant resource contention on shared clusters. This training typically involves many iterations that continually improve the quality of the model. Yet in exploratory settings, better models can be obtained faster by directing resources to jobs with the most potential for improvement. We describe SLAQ, a cluster scheduling system for approximate ML training jobs that aims to maximize the overall job quality.
 When allocating cluster resources, SLAQ explores the quality-runtime trade-offs across multiple jobs to maximize system-wide quality improvement. To do so, SLAQ leverages the iterative nature of ML training algorithms, by collecting quality and resource usage information from concurrent jobs, and then generating highly-tailored quality-improvement predictions for future iterations. Experiments show that SLAQ achieves an average quality improvement of up to 73% and an average delay reduction of up to 44% on a large set of ML training jobs, compared to resource fairness schedulers.
Real-Time Spherical Panorama Image Stitching Using OpenCL

This paper presents a webcam-based spherical coordinate conversion system using OpenCL massive parallel computing for panorama video image stitching. With multi-core architecture and its high-bandwidth data transmission rate of memory accesses, modern programmable GPU makes it possible to process multiple video images in parallel for real-time interaction. To get a panorama view of 360 degrees, we use OpenCL to stitch multiple webcam video images into a panorama image and texture mapped it to a spherical object to compose a virtual reality immersive environment. The experimental results show that when we use NVIDIA 9600GT to process eight 640×480 images, OpenCL can achieve ninety times speedups.